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diff --git a/translations/ar/README.md b/translations/ar/README.md
index 13785d325..6c682cb0e 100644
--- a/translations/ar/README.md
+++ b/translations/ar/README.md
@@ -1,139 +1,145 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
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-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
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+  "translation_date": "2025-11-18T17:11:46+00:00",
   "source_file": "README.md",
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-[![ترخيص GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![رخصة GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
 [![مساهمو GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
 [![مشاكل GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
 [![طلبات السحب في GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
-[![طلبات السحب مرحب بها](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
+[![مرحبًا بطلبات السحب](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
 [![مشاهدو GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
 [![تفرعات GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
 [![نجوم GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### انضم إلى مجتمع Azure AI Foundry  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
+### انضم إلى مجتمع Azure AI Foundry
+
+إذا واجهت صعوبة أو كانت لديك أي أسئلة حول بناء تطبيقات الذكاء الاصطناعي، انضم إلى زملائك المتعلمين والمطورين ذوي الخبرة في مناقشات حول MCP. إنه مجتمع داعم حيث يتم الترحيب بالأسئلة ومشاركة المعرفة بحرية.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+إذا كان لديك ملاحظات حول المنتج أو أخطاء أثناء البناء، قم بزيارة:
+
+[![منتدى مطوري Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 اتبع هذه الخطوات للبدء باستخدام هذه الموارد:  
-1. **تفرع المستودع**: انقر [![تفرعات GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
-2. **استنساخ المستودع**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**انضم إلى Discord الخاص بـ Azure AI Foundry وتواصل مع الخبراء والمطورين الآخرين**](https://discord.com/invite/ByRwuEEgH4)  
+1. **قم بعمل تفرع للمستودع**: انقر [![تفرعات GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **استنسخ المستودع**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**انضم إلى Microsoft Foundry Discord وتعرف على الخبراء والمطورين الآخرين**](https://discord.com/invite/ByRwuEEgH4)  
 
-### 🌐 دعم متعدد اللغات  
+### 🌐 دعم متعدد اللغات
 
-#### مدعوم عبر GitHub Action (تلقائي ومحدث دائمًا)  
+#### مدعوم عبر GitHub Action (تلقائي ومحدث دائمًا)
 
-[العربية](./README.md) | [البنغالية](../bn/README.md) | [البلغارية](../bg/README.md) | [البورمية (ميانمار)](../my/README.md) | [الصينية (المبسطة)](../zh/README.md) | [الصينية (التقليدية، هونغ كونغ)](../hk/README.md) | [الصينية (التقليدية، ماكاو)](../mo/README.md) | [الصينية (التقليدية، تايوان)](../tw/README.md) | [الكرواتية](../hr/README.md) | [التشيكية](../cs/README.md) | [الدانماركية](../da/README.md) | [الهولندية](../nl/README.md) | [الإستونية](../et/README.md) | [الفنلندية](../fi/README.md) | [الفرنسية](../fr/README.md) | [الألمانية](../de/README.md) | [اليونانية](../el/README.md) | [العبرية](../he/README.md) | [الهندية](../hi/README.md) | [الهنغارية](../hu/README.md) | [الإندونيسية](../id/README.md) | [الإيطالية](../it/README.md) | [اليابانية](../ja/README.md) | [الكورية](../ko/README.md) | [الليتوانية](../lt/README.md) | [الماليزية](../ms/README.md) | [الماراثية](../mr/README.md) | [النيبالية](../ne/README.md) | [النرويجية](../no/README.md) | [الفارسية (فارسي)](../fa/README.md) | [البولندية](../pl/README.md) | [البرتغالية (البرازيل)](../br/README.md) | [البرتغالية (البرتغال)](../pt/README.md) | [البنجابية (غورموخي)](../pa/README.md) | [الرومانية](../ro/README.md) | [الروسية](../ru/README.md) | [الصربية (السيريلية)](../sr/README.md) | [السلوفاكية](../sk/README.md) | [السلوفينية](../sl/README.md) | [الإسبانية](../es/README.md) | [السواحلية](../sw/README.md) | [السويدية](../sv/README.md) | [التاغالوغية (الفلبينية)](../tl/README.md) | [التاميلية](../ta/README.md) | [التايلاندية](../th/README.md) | [التركية](../tr/README.md) | [الأوكرانية](../uk/README.md) | [الأردية](../ur/README.md) | [الفيتنامية](../vi/README.md)  
+[العربية](./README.md) | [البنغالية](../bn/README.md) | [البلغارية](../bg/README.md) | [البورمية (ميانمار)](../my/README.md) | [الصينية (المبسطة)](../zh/README.md) | [الصينية (التقليدية، هونغ كونغ)](../hk/README.md) | [الصينية (التقليدية، ماكاو)](../mo/README.md) | [الصينية (التقليدية، تايوان)](../tw/README.md) | [الكرواتية](../hr/README.md) | [التشيكية](../cs/README.md) | [الدانماركية](../da/README.md) | [الهولندية](../nl/README.md) | [الإستونية](../et/README.md) | [الفنلندية](../fi/README.md) | [الفرنسية](../fr/README.md) | [الألمانية](../de/README.md) | [اليونانية](../el/README.md) | [العبرية](../he/README.md) | [الهندية](../hi/README.md) | [الهنغارية](../hu/README.md) | [الإندونيسية](../id/README.md) | [الإيطالية](../it/README.md) | [اليابانية](../ja/README.md) | [الكورية](../ko/README.md) | [الليتوانية](../lt/README.md) | [الماليزية](../ms/README.md) | [الماراثية](../mr/README.md) | [النيبالية](../ne/README.md) | [النيجيرية بيدجن](../pcm/README.md) | [النرويجية](../no/README.md) | [الفارسية (الفارسية)](../fa/README.md) | [البولندية](../pl/README.md) | [البرتغالية (البرازيل)](../br/README.md) | [البرتغالية (البرتغال)](../pt/README.md) | [البنجابية (غورموخي)](../pa/README.md) | [الرومانية](../ro/README.md) | [الروسية](../ru/README.md) | [الصربية (السيريلية)](../sr/README.md) | [السلوفاكية](../sk/README.md) | [السلوفينية](../sl/README.md) | [الإسبانية](../es/README.md) | [السواحيلية](../sw/README.md) | [السويدية](../sv/README.md) | [التاغالوغية (الفلبينية)](../tl/README.md) | [التاميلية](../ta/README.md) | [التايلاندية](../th/README.md) | [التركية](../tr/README.md) | [الأوكرانية](../uk/README.md) | [الأردية](../ur/README.md) | [الفيتنامية](../vi/README.md)
 
-# إنترنت الأشياء للمبتدئين - منهج دراسي  
+# إنترنت الأشياء للمبتدئين - منهج دراسي
 
-يسر دعاة السحابة في Azure في Microsoft تقديم منهج دراسي لمدة 12 أسبوعًا و24 درسًا حول أساسيات إنترنت الأشياء. يتضمن كل درس اختبارات قبل وبعد الدرس، تعليمات مكتوبة لإكمال الدرس، حل، مهمة والمزيد. تسمح لك طريقة التدريس القائمة على المشاريع بالتعلم أثناء البناء، وهي طريقة مثبتة لتثبيت المهارات الجديدة.  
+يسر دعاة السحابة في Azure في Microsoft تقديم منهج دراسي لمدة 12 أسبوعًا و24 درسًا حول أساسيات إنترنت الأشياء. يتضمن كل درس اختبارات قبل وبعد الدرس، وتعليمات مكتوبة لإكمال الدرس، وحلًا، ومهمة، والمزيد. تتيح لك طريقتنا القائمة على المشاريع التعلم أثناء البناء، وهي طريقة مثبتة لجعل المهارات الجديدة "تترسخ".
 
-تغطي المشاريع رحلة الطعام من المزرعة إلى المائدة. يشمل ذلك الزراعة، اللوجستيات، التصنيع، البيع بالتجزئة والمستهلك - جميعها مجالات صناعية شائعة لأجهزة إنترنت الأشياء.  
+تغطي المشاريع رحلة الطعام من المزرعة إلى المائدة. يشمل ذلك الزراعة، والخدمات اللوجستية، والتصنيع، والتجزئة، والمستهلك - جميعها مجالات صناعية شائعة لأجهزة إنترنت الأشياء.
 
-![خريطة طريق للدورة تظهر 24 درسًا تغطي المقدمة، الزراعة، النقل، المعالجة، البيع بالتجزئة والطهي](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ar.jpg)  
+![خريطة طريق للدورة تظهر 24 درسًا تغطي المقدمة، الزراعة، النقل، المعالجة، البيع بالتجزئة والطهي](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ar.jpg)
 
-> رسم تخطيطي بواسطة [نيتيا ناراسيمهان](https://github.com/nitya). انقر على الصورة للحصول على نسخة أكبر.  
+> رسم تخطيطي بواسطة [نيتيا ناراسيمهان](https://github.com/nitya). انقر على الصورة للحصول على نسخة أكبر.
 
-**شكر جزيل لمؤلفينا [جين فوكس](https://github.com/jenfoxbot)، [جين لوبر](https://github.com/jlooper)، [جيم بينيت](https://github.com/jimbobbennett)، وفنان الرسم التخطيطي لدينا [نيتيا ناراسيمهان](https://github.com/nitya).**  
+**شكر جزيل لمؤلفينا [جين فوكس](https://github.com/jenfoxbot)، [جين لوبر](https://github.com/jlooper)، [جيم بينيت](https://github.com/jimbobbennett)، وفنانة الرسم التخطيطي [نيتيا ناراسيمهان](https://github.com/nitya).**
 
-**شكرًا أيضًا لفريقنا من [سفراء الطلاب في Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) الذين قاموا بمراجعة وترجمة هذا المنهج - [أديتيا غارج](https://github.com/AdityaGarg00)، [أنوراغ شارما](https://github.com/Anurag-0-1-A)، [أربيتا داس](https://github.com/Arpiiitaaa)، [أريان جاين](https://www.linkedin.com/in/aryan-jain-47a4a1145/)، [بهافيش سونيجا](https://github.com/EliteWarrior315)، [فيث هونجا](https://faithhunja.github.io/)، [لطيفة بيلو](https://www.linkedin.com/in/lateefah-bello/)، [مانفي جا](https://github.com/Severus-Matthew)، [ميراي تان](https://www.linkedin.com/in/mireille-tan-a4834819a/)، [محمد افتخار (إفتو) ابن جلال](https://github.com/Iftu119)، [محمد زلفقار](https://github.com/mohzulfikar)، [بريانشو سريفاستاف](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)، [ثانماي غودوتشيرو](https://github.com/innovation-platform)، و [زينا كامل](https://www.linkedin.com/in/zina-kamel/).**  
+**شكرًا أيضًا لفريقنا من [سفراء الطلاب في Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) الذين قاموا بمراجعة وترجمة هذا المنهج - [أديتيا جارج](https://github.com/AdityaGarg00)، [أنوراغ شارما](https://github.com/Anurag-0-1-A)، [أربيتا داس](https://github.com/Arpiiitaaa)، [أريان جاين](https://www.linkedin.com/in/aryan-jain-47a4a1145/)، [بهافيش سونيجا](https://github.com/EliteWarrior315)، [فايث هونجا](https://faithhunja.github.io/)، [لطيفة بيلو](https://www.linkedin.com/in/lateefah-bello/)، [مانفي جا](https://github.com/Severus-Matthew)، [ميريل تان](https://www.linkedin.com/in/mireille-tan-a4834819a/)، [محمد افتخار (إفتو) ابن جلال](https://github.com/Iftu119)، [محمد زلفقار](https://github.com/mohzulfikar)، [بريانشو سريفاستاف](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)، [ثانماي جاودوشرفو](https://github.com/innovation-platform)، و[زينة كامل](https://www.linkedin.com/in/zina-kamel/).**
 
-تعرف على الفريق!  
+تعرف على الفريق!
 
-[![فيديو ترويجي](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
+[![فيديو ترويجي](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
-**Gif بواسطة** [موهيت جايسال](https://linkedin.com/in/mohitjaisal)  
+**الرسوم المتحركة بواسطة** [موهيت جايسال](https://linkedin.com/in/mohitjaisal)
 
-> 🎥 انقر على الصورة أعلاه لمشاهدة فيديو عن المشروع!  
+> 🎥 انقر على الصورة أعلاه لمشاهدة فيديو عن المشروع!
 
-> **المعلمون**، لقد قمنا [بتضمين بعض الاقتراحات](for-teachers.md) حول كيفية استخدام هذا المنهج. إذا كنت ترغب في إنشاء دروسك الخاصة، فقد قمنا أيضًا بتضمين [قالب درس](lesson-template/README.md).  
+> **المعلمين**، لقد قمنا [بتضمين بعض الاقتراحات](for-teachers.md) حول كيفية استخدام هذا المنهج. إذا كنت ترغب في إنشاء دروسك الخاصة، فقد قمنا أيضًا بتضمين [قالب درس](lesson-template/README.md).
 
-> **[الطلاب](https://aka.ms/student-page)**، لاستخدام هذا المنهج بمفردك، قم بتفرع المستودع بالكامل وأكمل التمارين بمفردك، بدءًا من اختبار ما قبل المحاضرة، ثم قراءة المحاضرة وإكمال بقية الأنشطة. حاول إنشاء المشاريع من خلال فهم الدروس بدلاً من نسخ كود الحل؛ ومع ذلك، يتوفر هذا الكود في مجلدات /solutions في كل درس قائم على المشروع. فكرة أخرى هي تشكيل مجموعة دراسية مع الأصدقاء ومراجعة المحتوى معًا. لمزيد من الدراسة، نوصي بـ [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
+> **[الطلاب](https://aka.ms/student-page)**، لاستخدام هذا المنهج بمفردك، قم بعمل تفرع للمستودع بالكامل وأكمل التمارين بمفردك، بدءًا من اختبار ما قبل المحاضرة، ثم قراءة المحاضرة وإكمال بقية الأنشطة. حاول إنشاء المشاريع من خلال فهم الدروس بدلاً من نسخ كود الحل؛ ومع ذلك، يتوفر هذا الكود في مجلدات /solutions في كل درس قائم على المشاريع. فكرة أخرى هي تشكيل مجموعة دراسية مع الأصدقاء ومراجعة المحتوى معًا. لمزيد من الدراسة، نوصي بـ [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
-لمشاهدة نظرة عامة بالفيديو عن هذه الدورة، تحقق من هذا الفيديو:  
+لمشاهدة نظرة عامة بالفيديو عن هذه الدورة، تحقق من هذا الفيديو:
 
-[![فيديو ترويجي](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "فيديو ترويجي")  
+[![فيديو ترويجي](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "فيديو ترويجي")
 
-> 🎥 انقر على الصورة أعلاه لمشاهدة فيديو عن المشروع!  
+> 🎥 انقر على الصورة أعلاه لمشاهدة فيديو عن المشروع!
 
-## منهجية التعليم  
+## البيداغوجيا
 
-لقد اخترنا مبدأين تعليميين أثناء بناء هذا المنهج: التأكد من أنه قائم على المشاريع وأنه يتضمن اختبارات متكررة. بحلول نهاية هذه السلسلة، سيكون الطلاب قد بنوا نظام مراقبة وري النباتات، متتبع المركبات، إعداد مصنع ذكي لتتبع وفحص الطعام، ومؤقت طهي يتم التحكم فيه بالصوت، وسيتعلمون أساسيات إنترنت الأشياء بما في ذلك كيفية كتابة كود الأجهزة، الاتصال بالسحابة، تحليل البيانات وتشغيل الذكاء الاصطناعي على الحافة.  
+لقد اخترنا مبدأين تربويين أثناء بناء هذا المنهج: التأكد من أنه قائم على المشاريع وأنه يتضمن اختبارات متكررة. بحلول نهاية هذه السلسلة، سيكون الطلاب قد بنوا نظام مراقبة وري النباتات، متتبع مركبات، إعداد مصنع ذكي لتتبع وفحص الطعام، ومؤقت طهي يتم التحكم فيه بالصوت، وسيتعلمون أساسيات إنترنت الأشياء بما في ذلك كيفية كتابة كود الأجهزة، الاتصال بالسحابة، تحليل البيانات عن بُعد وتشغيل الذكاء الاصطناعي على الحافة.
 
-من خلال ضمان أن المحتوى يتماشى مع المشاريع، يتم جعل العملية أكثر جاذبية للطلاب وسيتم تعزيز الاحتفاظ بالمفاهيم.  
+من خلال ضمان توافق المحتوى مع المشاريع، يصبح العملية أكثر جاذبية للطلاب ويتم تعزيز الاحتفاظ بالمفاهيم.
 
-بالإضافة إلى ذلك، يحدد اختبار منخفض المخاطر قبل الفصل نية الطالب نحو تعلم موضوع معين، بينما يضمن اختبار ثانٍ بعد الفصل مزيدًا من الاحتفاظ. تم تصميم هذا المنهج ليكون مرنًا وممتعًا ويمكن أخذه بالكامل أو جزئيًا. تبدأ المشاريع صغيرة وتصبح أكثر تعقيدًا بحلول نهاية دورة الـ 12 أسبوعًا.  
+بالإضافة إلى ذلك، يحدد اختبار منخفض المخاطر قبل الفصل نية الطالب نحو تعلم موضوع ما، بينما يضمن اختبار ثانٍ بعد الفصل مزيدًا من الاحتفاظ. تم تصميم هذا المنهج ليكون مرنًا وممتعًا ويمكن تناوله كليًا أو جزئيًا. تبدأ المشاريع صغيرة وتصبح أكثر تعقيدًا بحلول نهاية دورة الـ 12 أسبوعًا.
 
-كل مشروع يعتمد على أجهزة حقيقية متاحة للطلاب والهواة. كل مشروع ينظر في مجال المشروع المحدد، ويوفر المعرفة الأساسية ذات الصلة. لكي تكون مطورًا ناجحًا، يساعد فهم المجال الذي تحل فيه المشكلات، وتوفير هذه المعرفة الأساسية يسمح للطلاب بالتفكير في حلول إنترنت الأشياء الخاصة بهم وتعلمهم في سياق نوع المشكلة الواقعية التي قد يُطلب منهم حلها كمطورين لإنترنت الأشياء. يتعلم الطلاب "لماذا" الحلول التي يبنونها، ويحصلون على تقدير للمستخدم النهائي.  
+كل مشروع يعتمد على أجهزة حقيقية متاحة للطلاب والهواة. كل مشروع يتناول مجال المشروع المحدد، ويوفر المعرفة الأساسية ذات الصلة. لكي تكون مطورًا ناجحًا، من المفيد فهم المجال الذي تحل فيه المشكلات، وتوفير هذه المعرفة الأساسية يسمح للطلاب بالتفكير في حلول إنترنت الأشياء الخاصة بهم وتعلمهم في سياق نوع المشكلة الواقعية التي قد يُطلب منهم حلها كمطورين لإنترنت الأشياء. يتعلم الطلاب "لماذا" الحلول التي يبنونها، ويحصلون على تقدير للمستخدم النهائي.
 
-## الأجهزة  
+## الأجهزة
 
-لدينا خياران من أجهزة إنترنت الأشياء لاستخدامها في المشاريع اعتمادًا على التفضيلات الشخصية، معرفة أو تفضيلات لغة البرمجة، أهداف التعلم والتوافر. لقد قمنا أيضًا بتوفير نسخة "أجهزة افتراضية" لأولئك الذين ليس لديهم إمكانية الوصول إلى الأجهزة، أو يرغبون في التعرف أكثر قبل الالتزام بالشراء. يمكنك قراءة المزيد والعثور على "قائمة التسوق" على [صفحة الأجهزة](./hardware.md)، بما في ذلك روابط لشراء مجموعات كاملة من أصدقائنا في Seeed Studio.  
+لدينا خياران من أجهزة إنترنت الأشياء لاستخدامها في المشاريع بناءً على التفضيل الشخصي، أو معرفة لغة البرمجة أو التفضيلات، أو أهداف التعلم والتوافر. كما قمنا بتوفير نسخة "أجهزة افتراضية" لأولئك الذين ليس لديهم إمكانية الوصول إلى الأجهزة، أو يرغبون في التعلم أكثر قبل الالتزام بالشراء. يمكنك قراءة المزيد والعثور على "قائمة تسوق" على [صفحة الأجهزة](./hardware.md)، بما في ذلك روابط لشراء مجموعات كاملة من أصدقائنا في Seeed Studio.
 
-> 💁 اعثر على [مدونة قواعد السلوك](CODE_OF_CONDUCT.md)، [المساهمة](CONTRIBUTING.md)، و[إرشادات الترجمة](TRANSLATIONS.md). نحن نرحب بملاحظاتكم البناءة!  
+> 💁 اعثر على [مدونة السلوك](CODE_OF_CONDUCT.md)، [المساهمة](CONTRIBUTING.md)، وإرشادات [الترجمة](TRANSLATIONS.md). نرحب بملاحظاتك البناءة!
 
-## يتضمن كل درس:  
+## يتضمن كل درس:
 
 - رسم تخطيطي  
-- فيديو اختياري إضافي  
+- فيديو اختياري تكميلي  
 - اختبار تمهيدي قبل الدرس  
 - درس مكتوب  
-- لدروس المشاريع، أدلة خطوة بخطوة حول كيفية بناء المشروع  
-- فحوصات المعرفة  
+- لدروس المشاريع، إرشادات خطوة بخطوة حول كيفية بناء المشروع  
+- اختبارات المعرفة  
 - تحدي  
 - قراءة إضافية  
 - مهمة  
 - [اختبار بعد الدرس](https://ff-quizzes.netlify.app/en/)  
-
-> **ملاحظة حول الاختبارات**: جميع الاختبارات موجودة في مجلد quiz-app، بإجمالي 48 اختبارًا يحتوي كل منها على ثلاثة أسئلة. يتم الربط بها من داخل الدروس ولكن يمكن تشغيل تطبيق الاختبار محليًا أو نشره على Azure؛ اتبع التعليمات في مجلد `quiz-app`. يتم ترجمتها تدريجيًا.  
-
-## الدروس  
-
-|       |              اسم المشروع              |                       المفاهيم التي يتم تدريسها                       | أهداف التعلم                                                                                                                                                 |                                                        الدرس المرتبط                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
-|  01   | [البدء](./1-getting-started/README.md) |                     مقدمة إلى إنترنت الأشياء                     | تعلم المبادئ الأساسية لإنترنت الأشياء وأساسيات بناء حلول إنترنت الأشياء مثل أجهزة الاستشعار وخدمات السحابة أثناء إعداد أول جهاز إنترنت الأشياء الخاص بك |                      [مقدمة إلى إنترنت الأشياء](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [البدء](./1-getting-started/README.md) |                   نظرة أعمق على إنترنت الأشياء                    | تعرف على المزيد حول مكونات نظام إنترنت الأشياء، بالإضافة إلى المتحكمات الدقيقة وأجهزة الكمبيوتر ذات اللوحة الواحدة                                                            |                        [نظرة أعمق على إنترنت الأشياء](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [البدء](./1-getting-started/README.md) | التفاعل مع العالم المادي باستخدام أجهزة الاستشعار والمحركات | تعرف على أجهزة الاستشعار لجمع البيانات من العالم المادي، والمحركات لإرسال ردود الفعل، أثناء بناء مصباح ليلي                                           | [التفاعل مع العالم المادي باستخدام أجهزة الاستشعار والمحركات](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [البدء](./1-getting-started/README.md) |             توصيل جهازك بالإنترنت             | تعرف على كيفية توصيل جهاز إنترنت الأشياء بالإنترنت لإرسال واستقبال الرسائل عن طريق توصيل المصباح الليلي الخاص بك بوسيط MQTT                               |               [توصيل جهازك بالإنترنت](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [المزرعة](./2-farm/README.md)            |                    توقع نمو النباتات                     | تعلم كيفية توقع نمو النباتات باستخدام بيانات درجة الحرارة التي يتم جمعها بواسطة جهاز إنترنت الأشياء                                                                                  |                          [توقع نمو النباتات](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [المزرعة](./2-farm/README.md)            |                    اكتشاف رطوبة التربة                     | تعلم كيفية اكتشاف رطوبة التربة ومعايرة جهاز استشعار رطوبة التربة                                                                                              |                          [اكتشاف رطوبة التربة](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [المزرعة](./2-farm/README.md)            |                  ري النباتات تلقائيًا                   | تعلم كيفية أتمتة وتوقيت الري باستخدام مرحل وMQTT                                                                                                      |                      [ري النباتات تلقائيًا](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [المزرعة](./2-farm/README.md)            |               نقل نباتك إلى السحابة               | تعرف على السحابة وخدمات إنترنت الأشياء المستضافة على السحابة وكيفية توصيل نباتك بأحدها بدلاً من وسيط MQTT العام                                   |               [نقل نباتك إلى السحابة](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [المزرعة](./2-farm/README.md)            |         نقل منطق التطبيق الخاص بك إلى السحابة         | تعرف على كيفية كتابة منطق التطبيق في السحابة الذي يستجيب لرسائل إنترنت الأشياء                                                                          |         [نقل منطق التطبيق الخاص بك إلى السحابة](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [المزرعة](./2-farm/README.md)            |                   تأمين نباتك                    | تعلم عن الأمان مع إنترنت الأشياء وكيفية تأمين نباتك باستخدام المفاتيح والشهادات                                                                          |                        [تأمين نباتك](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [النقل](./3-transport/README.md)       |                      تتبع الموقع                      | تعرف على تتبع الموقع باستخدام GPS لأجهزة إنترنت الأشياء                                                                                                                   |                           [تتبع الموقع](./3-transport/lessons/1-location-tracking/README.md)                           |
+> **ملاحظة حول الاختبارات**: جميع الاختبارات موجودة في مجلد quiz-app، بإجمالي 48 اختبارًا يحتوي كل منها على ثلاثة أسئلة. يتم الربط بها من داخل الدروس، ولكن يمكن تشغيل تطبيق الاختبار محليًا أو نشره على Azure؛ اتبع التعليمات في مجلد `quiz-app`. يتم ترجمتها تدريجيًا.
+
+## الدروس
+
+|       |              اسم المشروع              |                       المفاهيم التي يتم تدريسها                       | أهداف التعلم                                                                                                                                                 |                                                        الدرس المرتبط                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [البدء](./1-getting-started/README.md) |                     مقدمة إلى إنترنت الأشياء                     | تعلم المبادئ الأساسية لإنترنت الأشياء والعناصر الأساسية لحلول إنترنت الأشياء مثل المستشعرات والخدمات السحابية أثناء إعداد أول جهاز إنترنت الأشياء الخاص بك |                      [مقدمة إلى إنترنت الأشياء](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [البدء](./1-getting-started/README.md) |                   نظرة أعمق على إنترنت الأشياء                    | تعلم المزيد عن مكونات نظام إنترنت الأشياء، بالإضافة إلى المتحكمات الدقيقة وأجهزة الكمبيوتر ذات اللوحة الواحدة                                                            |                        [نظرة أعمق على إنترنت الأشياء](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [البدء](./1-getting-started/README.md) | التفاعل مع العالم المادي باستخدام المستشعرات والمحركات | تعلم عن المستشعرات لجمع البيانات من العالم المادي والمحركات لإرسال ردود الفعل، أثناء بناء ضوء ليلي                                           | [التفاعل مع العالم المادي باستخدام المستشعرات والمحركات](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [البدء](./1-getting-started/README.md) |             توصيل جهازك بالإنترنت             | تعلم كيفية توصيل جهاز إنترنت الأشياء بالإنترنت لإرسال واستقبال الرسائل عن طريق توصيل الضوء الليلي الخاص بك بوسيط MQTT                               |               [توصيل جهازك بالإنترنت](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [المزرعة](./2-farm/README.md)            |                    التنبؤ بنمو النباتات                     | تعلم كيفية التنبؤ بنمو النباتات باستخدام بيانات درجة الحرارة التي يتم جمعها بواسطة جهاز إنترنت الأشياء                                                                                  |                          [التنبؤ بنمو النباتات](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [المزرعة](./2-farm/README.md)            |                    الكشف عن رطوبة التربة                     | تعلم كيفية الكشف عن رطوبة التربة ومعايرة مستشعر رطوبة التربة                                                                                              |                          [الكشف عن رطوبة التربة](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [المزرعة](./2-farm/README.md)            |                  ري النباتات تلقائيًا                   | تعلم كيفية أتمتة وتوقيت الري باستخدام مرحل و MQTT                                                                                                      |                      [ري النباتات تلقائيًا](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [المزرعة](./2-farm/README.md)            |               نقل نباتك إلى السحابة               | تعلم عن السحابة والخدمات السحابية المستضافة لإنترنت الأشياء وكيفية توصيل نباتك بأحدها بدلاً من وسيط MQTT العام                                   |               [نقل نباتك إلى السحابة](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [المزرعة](./2-farm/README.md)            |         نقل منطق التطبيق الخاص بك إلى السحابة         | تعلم كيفية كتابة منطق التطبيق في السحابة الذي يستجيب لرسائل إنترنت الأشياء                                                                          |         [نقل منطق التطبيق الخاص بك إلى السحابة](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [المزرعة](./2-farm/README.md)            |                   الحفاظ على أمان نباتك                    | تعلم عن الأمان مع إنترنت الأشياء وكيفية الحفاظ على أمان نباتك باستخدام المفاتيح والشهادات                                                                          |                        [الحفاظ على أمان نباتك](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [النقل](./3-transport/README.md)       |                      تتبع الموقع                      | تعلم عن تتبع الموقع باستخدام GPS لأجهزة إنترنت الأشياء                                                                                                                   |                           [تتبع الموقع](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [النقل](./3-transport/README.md)       |                     تخزين بيانات الموقع                     | تعلم كيفية تخزين بيانات إنترنت الأشياء لتصورها أو تحليلها لاحقًا                                                                                                      |                         [تخزين بيانات الموقع](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [النقل](./3-transport/README.md)       |                   تصور بيانات الموقع                   | تعرف على تصور بيانات الموقع على الخريطة، وكيف تمثل الخرائط العالم ثلاثي الأبعاد في بعدين                                                            |                     [تصور بيانات الموقع](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [النقل](./3-transport/README.md)       |                          الأسوار الجغرافية                          | تعرف على الأسوار الجغرافية، وكيف يمكن استخدامها لتنبيه عندما تكون المركبات في سلسلة التوريد قريبة من وجهتها                                           |                                   [الأسوار الجغرافية](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [التصنيع](./4-manufacturing/README.md)   |               تدريب كاشف جودة الفاكهة                | تعلم كيفية تدريب مصنف الصور في السحابة لاكتشاف جودة الفاكهة                                                                                       |                 [تدريب كاشف جودة الفاكهة](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [التصنيع](./4-manufacturing/README.md)   |           التحقق من جودة الفاكهة باستخدام جهاز إنترنت الأشياء            | تعلم كيفية استخدام كاشف جودة الفاكهة الخاص بك من جهاز إنترنت الأشياء                                                                                                    |           [التحقق من جودة الفاكهة باستخدام جهاز إنترنت الأشياء](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [التصنيع](./4-manufacturing/README.md)   |             تشغيل كاشف الفاكهة على الحافة             | تعلم كيفية تشغيل كاشف الفاكهة الخاص بك على جهاز إنترنت الأشياء على الحافة                                                                                                |             [تشغيل كاشف الفاكهة على الحافة](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [التصنيع](./4-manufacturing/README.md)   |        تشغيل كشف جودة الفاكهة من جهاز استشعار        | تعلم كيفية تشغيل كشف جودة الفاكهة من جهاز استشعار                                                                                                        |        [تشغيل كشف جودة الفاكهة من جهاز استشعار](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [التجزئة](./5-retail/README.md)          |                   تدريب كاشف المخزون                    | تعلم كيفية استخدام كشف الكائنات لتدريب كاشف المخزون لعد المخزون في المتجر                                                                                |                        [تدريب كاشف المخزون](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [التجزئة](./5-retail/README.md)          |               التحقق من المخزون باستخدام جهاز إنترنت الأشياء                | تعلم كيفية التحقق من المخزون باستخدام جهاز إنترنت الأشياء باستخدام نموذج كشف الكائنات                                                                                         |                     [التحقق من المخزون باستخدام جهاز إنترنت الأشياء](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  13   |       [النقل](./3-transport/README.md)       |                   تصور بيانات الموقع                   | تعلم عن تصور بيانات الموقع على خريطة، وكيف تمثل الخرائط العالم ثلاثي الأبعاد في بعدين                                                            |                     [تصور بيانات الموقع](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [النقل](./3-transport/README.md)       |                          الأسوار الجغرافية                          | تعلم عن الأسوار الجغرافية، وكيف يمكن استخدامها لتنبيه عندما تكون المركبات في سلسلة التوريد قريبة من وجهتها                                           |                                   [الأسوار الجغرافية](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [التصنيع](./4-manufacturing/README.md)   |               تدريب كاشف جودة الفاكهة                | تعلم عن تدريب مصنف الصور في السحابة للكشف عن جودة الفاكهة                                                                                       |                 [تدريب كاشف جودة الفاكهة](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [التصنيع](./4-manufacturing/README.md)   |           التحقق من جودة الفاكهة من جهاز إنترنت الأشياء            | تعلم عن استخدام كاشف جودة الفاكهة الخاص بك من جهاز إنترنت الأشياء                                                                                                    |           [التحقق من جودة الفاكهة من جهاز إنترنت الأشياء](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [التصنيع](./4-manufacturing/README.md)   |             تشغيل كاشف الفاكهة على الحافة             | تعلم عن تشغيل كاشف الفاكهة الخاص بك على جهاز إنترنت الأشياء على الحافة                                                                                                |             [تشغيل كاشف الفاكهة على الحافة](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [التصنيع](./4-manufacturing/README.md)   |        تشغيل الكشف عن جودة الفاكهة من مستشعر        | تعلم عن تشغيل الكشف عن جودة الفاكهة من مستشعر                                                                                                        |        [تشغيل الكشف عن جودة الفاكهة من مستشعر](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [التجزئة](./5-retail/README.md)          |                   تدريب كاشف المخزون                    | تعلم كيفية استخدام الكشف عن الكائنات لتدريب كاشف المخزون لعد المخزون في المتجر                                                                                |                        [تدريب كاشف المخزون](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [التجزئة](./5-retail/README.md)          |               التحقق من المخزون من جهاز إنترنت الأشياء                | تعلم كيفية التحقق من المخزون من جهاز إنترنت الأشياء باستخدام نموذج الكشف عن الكائنات                                                                                         |                     [التحقق من المخزون من جهاز إنترنت الأشياء](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [المستهلك](./6-consumer/README.md)        |             التعرف على الكلام باستخدام جهاز إنترنت الأشياء             | تعلم كيفية التعرف على الكلام من جهاز إنترنت الأشياء لبناء مؤقت ذكي                                                                                             |                  [التعرف على الكلام باستخدام جهاز إنترنت الأشياء](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [المستهلك](./6-consumer/README.md)        |                     فهم اللغة                     | تعلم كيفية فهم الجمل التي يتم التحدث بها إلى جهاز إنترنت الأشياء                                                                                                           |                        [فهم اللغة](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [المستهلك](./6-consumer/README.md)        |           ضبط مؤقت وتقديم ملاحظات صوتية           | تعلم كيفية ضبط مؤقت على جهاز إنترنت الأشياء وتقديم ملاحظات صوتية حول وقت ضبط المؤقت وعندما ينتهي                                                    |                 [ضبط مؤقت وتقديم ملاحظات صوتية](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [المستهلك](./6-consumer/README.md)        |                 دعم لغات متعددة                  | تعلم كيفية دعم لغات متعددة، سواء في التحدث أو الردود من المؤقت الذكي                                                               |                   [دعم لغات متعددة](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  23   |        [المستهلك](./6-consumer/README.md)        |           ضبط مؤقت وتقديم ردود فعل صوتية           | تعلم كيفية ضبط مؤقت على جهاز إنترنت الأشياء وتقديم ردود فعل صوتية عند ضبط المؤقت وعند انتهائه                                                    |                 [ضبط مؤقت وتقديم ردود فعل صوتية](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [المستهلك](./6-consumer/README.md)        |                 دعم لغات متعددة                  | تعلم كيفية دعم لغات متعددة، سواء التي يتم التحدث بها أو الردود من المؤقت الذكي                                                               |                   [دعم لغات متعددة](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## الوصول دون اتصال
 
-يمكنك تشغيل هذا التوثيق دون اتصال باستخدام [Docsify](https://docsify.js.org/#/). قم بنسخ هذا المستودع، [تثبيت Docsify](https://docsify.js.org/#/quickstart) على جهازك المحلي، ثم في المجلد الجذري لهذا المستودع، اكتب `docsify serve`. سيتم تشغيل الموقع على المنفذ 3000 على جهازك المحلي: `localhost:3000`.
+يمكنك تشغيل هذا التوثيق دون اتصال باستخدام [Docsify](https://docsify.js.org/#/). قم باستنساخ هذا المستودع، [تثبيت Docsify](https://docsify.js.org/#/quickstart) على جهازك المحلي، ثم في المجلد الجذري لهذا المستودع، اكتب `docsify serve`. سيتم تشغيل الموقع على المنفذ 3000 على localhost الخاص بك: `localhost:3000`.
 
-## اختبار
+## الاختبار
 
 شكرًا للمجتمع على استضافة الاختبار التفاعلي الذي يختبر معرفتك بكل فصل. يمكنك اختبار معرفتك [هنا](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-يمكنك إنشاء ملف PDF لهذا المحتوى للوصول إليه دون اتصال إذا لزم الأمر. للقيام بذلك، تأكد من تثبيت [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) وقم بتشغيل الأوامر التالية في المجلد الجذري لهذا المستودع:
+يمكنك إنشاء ملف PDF لهذا المحتوى للوصول دون اتصال إذا لزم الأمر. للقيام بذلك، تأكد من تثبيت [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) وقم بتشغيل الأوامر التالية في المجلد الجذري لهذا المستودع:
 
 ```sh
 npm i
@@ -142,17 +148,18 @@ npm run convert
 
 ### الشرائح
 
-توجد مجموعات شرائح لبعض الدروس في مجلد [الشرائح](../../slides).
+هناك مجموعات شرائح لبعض الدروس في مجلد [الشرائح](../../slides).
 
 ## مناهج أخرى
 
 فريقنا ينتج مناهج أخرى! تحقق من:
 
+<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD للمبتدئين](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI للمبتدئين](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP للمبتدئين](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![وكلاء الذكاء الاصطناعي للمبتدئين](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents للمبتدئين](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
@@ -165,26 +172,29 @@ npm run convert
 ---
 
 ### التعلم الأساسي
-[![تعلم الآلة للمبتدئين](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![علم البيانات للمبتدئين](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![الذكاء الاصطناعي للمبتدئين](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![الأمن السيبراني للمبتدئين](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![تطوير الويب للمبتدئين](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![إنترنت الأشياء للمبتدئين](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![تطوير الواقع الممتد للمبتدئين](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![تعلم الآلة للمبتدئين](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![علم البيانات للمبتدئين](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![الذكاء الاصطناعي للمبتدئين](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![الأمن السيبراني للمبتدئين](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![تطوير الويب للمبتدئين](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![إنترنت الأشياء للمبتدئين](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![تطوير الواقع الممتد للمبتدئين](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### سلسلة Copilot  
-[![Copilot للبرمجة المزدوجة بالذكاء الاصطناعي](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot لـ C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![مغامرة Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### سلسلة Copilot
+[![Copilot للبرمجة المزدوجة بالذكاء الاصطناعي](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot لـ C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![مغامرة Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- نهاية دورات أخرى للمترجم التعاوني -->
 
-## نسب الصور  
+## نسب الصور
 
-يمكنك العثور على جميع نسب الصور المستخدمة في هذا المنهج عند الحاجة في [النسب](./attributions.md).  
+يمكنك العثور على جميع نسب الصور المستخدمة في هذا المنهج عند الحاجة في [النسب](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **إخلاء المسؤولية**:  
-تم ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى لتحقيق الدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الرسمي. للحصول على معلومات حاسمة، يُوصى بالترجمة البشرية الاحترافية. نحن غير مسؤولين عن أي سوء فهم أو تفسيرات خاطئة تنشأ عن استخدام هذه الترجمة.
\ No newline at end of file
+تم ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى لتحقيق الدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الموثوق. للحصول على معلومات حاسمة، يُوصى بالترجمة البشرية الاحترافية. نحن غير مسؤولين عن أي سوء فهم أو تفسير خاطئ ينشأ عن استخدام هذه الترجمة.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/bg/README.md b/translations/bg/README.md
index 4d1523365..e8458d93f 100644
--- a/translations/bg/README.md
+++ b/translations/bg/README.md
@@ -1,195 +1,203 @@
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+  "translation_date": "2025-11-18T18:05:56+00:00",
   "source_file": "README.md",
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-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub лиценз](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub сътрудници](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub проблеми](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub наблюдатели](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub разклонения](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub звезди](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Присъединете се към общността Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Присъединете се към общността Azure AI Foundry  
 
-Следвайте тези стъпки, за да започнете да използвате тези ресурси:
-1. **Копирайте хранилището**: Кликнете [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Клонирайте хранилището**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Присъединете се към Azure AI Foundry Discord и се срещнете с експерти и други разработчици**](https://discord.com/invite/ByRwuEEgH4)
+Ако се затруднявате или имате въпроси относно създаването на AI приложения, присъединете се към други учащи и опитни разработчици в дискусии за MCP. Това е подкрепяща общност, където въпросите са добре дошли и знанията се споделят свободно.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Поддръжка на много езици
+Ако имате обратна връзка за продукта или срещнете грешки по време на разработката, посетете:  
 
-#### Поддържано чрез GitHub Action (Автоматизирано и винаги актуално)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
+
+Следвайте тези стъпки, за да започнете да използвате тези ресурси:  
+1. **Разклонете хранилището**: Кликнете [![GitHub разклонения](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Клонирайте хранилището**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Присъединете се към Microsoft Foundry Discord и се срещнете с експерти и други разработчици**](https://discord.com/invite/ByRwuEEgH4)  
+
+### 🌐 Многоезична поддръжка  
+
+#### Поддържано чрез GitHub Action (Автоматизирано и винаги актуално)  
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](./README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Арабски](../ar/README.md) | [Бенгалски](../bn/README.md) | [Български](./README.md) | [Бирмански (Мианмар)](../my/README.md) | [Китайски (опростен)](../zh/README.md) | [Китайски (традиционен, Хонг Конг)](../hk/README.md) | [Китайски (традиционен, Макао)](../mo/README.md) | [Китайски (традиционен, Тайван)](../tw/README.md) | [Хърватски](../hr/README.md) | [Чешки](../cs/README.md) | [Датски](../da/README.md) | [Холандски](../nl/README.md) | [Естонски](../et/README.md) | [Фински](../fi/README.md) | [Френски](../fr/README.md) | [Немски](../de/README.md) | [Гръцки](../el/README.md) | [Иврит](../he/README.md) | [Хинди](../hi/README.md) | [Унгарски](../hu/README.md) | [Индонезийски](../id/README.md) | [Италиански](../it/README.md) | [Японски](../ja/README.md) | [Корейски](../ko/README.md) | [Литовски](../lt/README.md) | [Малайски](../ms/README.md) | [Марати](../mr/README.md) | [Непалски](../ne/README.md) | [Нигерийски пиджин](../pcm/README.md) | [Норвежки](../no/README.md) | [Персийски (фарси)](../fa/README.md) | [Полски](../pl/README.md) | [Португалски (Бразилия)](../br/README.md) | [Португалски (Португалия)](../pt/README.md) | [Пенджабски (Гурмукхи)](../pa/README.md) | [Румънски](../ro/README.md) | [Руски](../ru/README.md) | [Сръбски (кирилица)](../sr/README.md) | [Словашки](../sk/README.md) | [Словенски](../sl/README.md) | [Испански](../es/README.md) | [Суахили](../sw/README.md) | [Шведски](../sv/README.md) | [Тагалог (Филипински)](../tl/README.md) | [Тамилски](../ta/README.md) | [Тайландски](../th/README.md) | [Турски](../tr/README.md) | [Украински](../uk/README.md) | [Урду](../ur/README.md) | [Виетнамски](../vi/README.md)  
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT за начинаещи - Учебна програма
+# IoT за начинаещи - Учебна програма  
 
-Azure Cloud Advocates в Microsoft с удоволствие предлагат 12-седмична учебна програма с 24 урока, посветена на основите на IoT. Всеки урок включва тестове преди и след урока, писмени инструкции за изпълнение на урока, решение, задача и други. Нашата проектно-базирана методология ви позволява да учите, докато изграждате, доказан начин за усвояване на нови умения.
+Azure Cloud Advocates в Microsoft с удоволствие предлагат 12-седмична, 24-урочна учебна програма, посветена на основите на IoT. Всеки урок включва тестове преди и след урока, писмени инструкции за изпълнение на урока, решение, задача и още. Нашата проектно-базирана педагогика ви позволява да учите, докато създавате, доказан начин за усвояване на нови умения.  
 
-Проектите обхващат пътя на храната от фермата до масата. Това включва земеделие, логистика, производство, търговия на дребно и потребител - всички популярни индустриални области за IoT устройства.
+Проектите обхващат пътя на храната от фермата до масата. Това включва земеделие, логистика, производство, търговия на дребно и потребител - всички популярни индустриални области за IoT устройства.  
 
-![Карта на курса, показваща 24 урока, обхващащи въведение, земеделие, транспорт, обработка, търговия на дребно и готвене](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.bg.jpg)
+![Пътна карта на курса, показваща 24 урока, обхващащи въведение, земеделие, транспорт, обработка, търговия на дребно и готвене](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.bg.jpg)  
 
-> Скетч от [Nitya Narasimhan](https://github.com/nitya). Кликнете върху изображението за по-голяма версия.
+> Скица от [Nitya Narasimhan](https://github.com/nitya). Кликнете върху изображението за по-голяма версия.  
 
-**Сърдечни благодарности на нашите автори [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), и нашия художник на скетчове [Nitya Narasimhan](https://github.com/nitya).**
+**Сърдечни благодарности на нашите автори [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), и нашия художник на скици [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Благодарности също така на нашия екип от [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), които преглеждат и превеждат тази учебна програма - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), и [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Благодарности също така на нашия екип от [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), които преглеждаха и превеждаха тази учебна програма - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), и [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-Запознайте се с екипа!
+Запознайте се с екипа!  
 
-[![Промо видео](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+[![Промо видео](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-**Gif от** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Gif от** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-> 🎥 Кликнете върху изображението по-горе за видео за проекта!
+> 🎥 Кликнете върху изображението по-горе за видео за проекта!  
 
-> **Учители**, ние сме [включили някои предложения](for-teachers.md) за това как да използвате тази учебна програма. Ако искате да създадете свои собствени уроци, сме включили и [шаблон за урок](lesson-template/README.md).
+> **Учители**, ние сме [включили някои предложения](for-teachers.md) как да използвате тази учебна програма. Ако искате да създадете свои собствени уроци, сме включили и [шаблон за урок](lesson-template/README.md).  
 
-> **[Ученици](https://aka.ms/student-page)**, за да използвате тази учебна програма самостоятелно, копирайте цялото хранилище и изпълнете упражненията самостоятелно, започвайки с тест преди лекцията, след това прочетете лекцията и изпълнете останалите дейности. Опитайте се да създадете проектите, като разбирате уроците, вместо да копирате кода на решението; въпреки това този код е наличен в папките /solutions във всеки проектно-ориентиран урок. Друга идея е да създадете учебна група с приятели и да преминете през съдържанието заедно. За допълнително обучение препоръчваме [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Ученици](https://aka.ms/student-page)**, за да използвате тази учебна програма самостоятелно, разклонете цялото хранилище и изпълнете упражненията самостоятелно, започвайки с тест преди лекцията, след това прочетете лекцията и изпълнете останалите дейности. Опитайте се да създадете проектите, като разбирате уроците, вместо да копирате кода на решението; въпреки това този код е наличен в папките /solutions във всеки проектно-ориентиран урок. Друга идея е да създадете учебна група с приятели и да преминете през съдържанието заедно. За допълнително обучение препоръчваме [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-За видео преглед на този курс, вижте това видео:
+За видео преглед на този курс, вижте това видео:  
 
-[![Промо видео](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+[![Промо видео](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Промо видео")  
 
-> 🎥 Кликнете върху изображението по-горе за видео за проекта!
+> 🎥 Кликнете върху изображението по-горе за видео за проекта!  
 
-## Методология
+## Педагогика  
 
-Избрахме два педагогически принципа при създаването на тази учебна програма: да гарантираме, че тя е базирана на проекти и че включва чести тестове. До края на тази серия учениците ще са изградили система за мониторинг и поливане на растения, тракер за превозни средства, интелигентна фабрика за проследяване и проверка на храни и таймер за готвене с гласово управление, и ще са научили основите на Интернет на нещата, включително как да пишат код за устройства, да се свързват с облака, да анализират телеметрия и да изпълняват AI на ръба.
+Избрахме два педагогически принципа при създаването на тази учебна програма: да гарантираме, че тя е проектно-базирана и че включва чести тестове. До края на тази серия учениците ще са изградили система за мониторинг и поливане на растения, тракер за превозни средства, интелигентна фабрична настройка за проследяване и проверка на храни и гласово контролиран таймер за готвене, и ще са научили основите на Интернет на нещата, включително как да пишат код за устройства, да се свързват с облака, да анализират телеметрия и да изпълняват AI на ръба.  
 
-Чрез гарантиране, че съдържанието е свързано с проекти, процесът става по-ангажиращ за учениците и запазването на концепциите се увеличава.
+Чрез осигуряване, че съдържанието е свързано с проекти, процесът става по-ангажиращ за учениците и задържането на концепции се увеличава.  
 
-Освен това, тест с нисък риск преди урока насочва вниманието на ученика към изучаването на дадена тема, докато втори тест след урока гарантира допълнително запазване. Тази учебна програма е проектирана да бъде гъвкава и забавна и може да се вземе изцяло или частично. Проектите започват малки и стават все по-сложни до края на 12-седмичния цикъл.
+Освен това, тест с нисък риск преди урока насочва вниманието на ученика към изучаването на дадена тема, докато втори тест след урока осигурява по-нататъшно задържане. Тази учебна програма е проектирана да бъде гъвкава и забавна и може да бъде взета изцяло или частично. Проектите започват малки и стават все по-сложни до края на 12-седмичния цикъл.  
 
-Всеки проект е базиран на реален хардуер, достъпен за ученици и любители. Всеки проект разглежда конкретната проектна област, предоставяйки съответни основни знания. За да бъдете успешен разработчик, е полезно да разбирате областта, в която решавате проблеми, предоставянето на тези основни знания позволява на учениците да мислят за своите IoT решения и наученото в контекста на реалния проблем, който може да им бъде зададен като IoT разработчици. Учениците научават "защо" на решенията, които изграждат, и получават оценка за крайния потребител.
+Всеки проект е базиран на реален хардуер, достъпен за ученици и любители. Всеки проект разглежда конкретната проектна област, предоставяйки съответни основни знания. За да бъде успешен разработчик, е полезно да разбираш областта, в която решаваш проблеми; предоставянето на тези основни знания позволява на учениците да мислят за своите IoT решения и наученото в контекста на реалния проблем, който може да им бъде поставен като IoT разработчици. Учениците научават "защо" на решенията, които изграждат, и получават оценка за крайния потребител.  
 
-## Хардуер
+## Хардуер  
 
-Имаме два избора на IoT хардуер за използване в проектите в зависимост от личните предпочитания, знания или предпочитания за програмен език, учебни цели и наличност. Освен това сме предоставили версия "виртуален хардуер" за тези, които нямат достъп до хардуер или искат да научат повече, преди да се ангажират с покупка. Можете да прочетете повече и да намерите "списък за пазаруване" на [страницата за хардуер](./hardware.md), включително връзки за закупуване на пълни комплекти от нашите приятели в Seeed Studio.
+Имаме два избора на IoT хардуер за използване в проектите в зависимост от личните предпочитания, знанията или предпочитанията за програмни езици, учебните цели и наличността. Осигурили сме и версия с "виртуален хардуер" за тези, които нямат достъп до хардуер или искат да научат повече, преди да направят покупка. Можете да прочетете повече и да намерите "списък за пазаруване" на [страницата за хардуер](./hardware.md), включително връзки за закупуване на пълни комплекти от нашите приятели в Seeed Studio.  
 
-> 💁 Намерете нашите [Правила за поведение](CODE_OF_CONDUCT.md), [Принос](CONTRIBUTING.md), и [Насоки за превод](TRANSLATIONS.md). Очакваме вашата конструктивна обратна връзка!
+> 💁 Намерете нашите [Правила за поведение](CODE_OF_CONDUCT.md), [Принос](CONTRIBUTING.md) и [Насоки за превод](TRANSLATIONS.md). Очакваме вашата конструктивна обратна връзка!  
 
-## Всеки урок включва:
+## Всеки урок включва:  
 
-- скетч
-- допълнително видео (по избор)
-- тест за загряване преди урока
-- писмен урок
-- за уроци, базирани на проекти, ръководства стъпка по стъпка за изграждане на проекта
-- проверки на знанията
-- предизвикателство
-- допълнително четене
-- задача
-- [тест след урока](https://ff-quizzes.netlify.app/en/)
-
-> **Бележка за тестовете**: Всички тестове са включени в папката quiz-app, за общо 48 теста с по три въпроса всеки. Те са свързани в уроците, но приложението за тестове може да се стартира локално или да се разположи в Azure; следвайте инструкциите в папката `quiz-app`. Постепенно се локализират.
+- скица  
+- допълнително видео (по избор)  
+- тест за загрявка преди урока  
+- писмен урок  
+- за проектно-базирани уроци, стъпка по стъпка ръководства за изграждане на проекта  
+- проверки на знанията  
+- предизвикателство  
+- допълнително четиво  
+- задача  
+- [тест след урока](https://ff-quizzes.netlify.app/en/)  
+> **Бележка относно тестовете**: Всички тестове се намират в папката quiz-app, общо 48 теста с по три въпроса всеки. Те са свързани с уроците, но приложението за тестове може да се стартира локално или да се разположи в Azure; следвайте инструкциите в папката `quiz-app`. Те постепенно се локализират.
 
 ## Уроци
 
 |       |              Име на проекта              |                       Преподавани концепции                       | Учебни цели                                                                                                                                                 |                                                        Свързан урок                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Започване](./1-getting-started/README.md) |                     Въведение в IoT                     | Научете основните принципи на IoT и основните градивни елементи на IoT решенията, като сензори и облачни услуги, докато настройвате първото си IoT устройство |                      [Въведение в IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Започване](./1-getting-started/README.md) |                   По-задълбочен поглед към IoT                    | Научете повече за компонентите на IoT системата, както и за микроконтролерите и едноплатковите компютри                                                            |                        [По-задълбочен поглед към IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Започване](./1-getting-started/README.md) | Взаимодействие с физическия свят чрез сензори и изпълнителни механизми | Научете за сензорите за събиране на данни от физическия свят и изпълнителните механизми за изпращане на обратна връзка, докато изграждате нощна лампа                                           | [Взаимодействие с физическия свят чрез сензори и изпълнителни механизми](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Започване](./1-getting-started/README.md) |             Свържете устройството си с интернет             | Научете как да свържете IoT устройство с интернет, за да изпращате и получавате съобщения, като свържете нощната си лампа с MQTT брокер                               |               [Свържете устройството си с интернет](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  01   | [Първи стъпки](./1-getting-started/README.md) |                     Въведение в IoT                     | Научете основните принципи на IoT и основните градивни елементи на IoT решения като сензори и облачни услуги, докато настройвате първото си IoT устройство |                      [Въведение в IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Първи стъпки](./1-getting-started/README.md) |                   По-задълбочен поглед върху IoT                    | Научете повече за компонентите на IoT система, както и за микроконтролери и едноплаткови компютри                                                            |                        [По-задълбочен поглед върху IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Първи стъпки](./1-getting-started/README.md) | Взаимодействие с физическия свят чрез сензори и изпълнители | Научете за сензорите за събиране на данни от физическия свят и изпълнителите за изпращане на обратна връзка, докато изграждате нощна лампа                                           | [Взаимодействие с физическия свят чрез сензори и изпълнители](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Първи стъпки](./1-getting-started/README.md) |             Свържете устройството си с интернет             | Научете как да свържете IoT устройство с интернет, за да изпращате и получавате съобщения, като свържете нощната си лампа с MQTT брокер                               |               [Свържете устройството си с интернет](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [Ферма](./2-farm/README.md)            |                    Прогнозиране на растежа на растенията                     | Научете как да прогнозирате растежа на растенията, използвайки данни за температура, събрани от IoT устройство                                                                                  |                          [Прогнозиране на растежа на растенията](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Ферма](./2-farm/README.md)            |                    Откриване на влажността на почвата                     | Научете как да откривате влажността на почвата и да калибрирате сензор за влажност                                                                                              |                          [Откриване на влажността на почвата](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  06   |            [Ферма](./2-farm/README.md)            |                    Откриване на влажността на почвата                     | Научете как да откривате влажността на почвата и да калибрирате сензор за влажност на почвата                                                                                              |                          [Откриване на влажността на почвата](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
 |  07   |            [Ферма](./2-farm/README.md)            |                  Автоматизирано поливане на растения                   | Научете как да автоматизирате и планирате поливането, използвайки реле и MQTT                                                                                                      |                      [Автоматизирано поливане на растения](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Ферма](./2-farm/README.md)            |               Мигриране на вашето растение към облака               | Научете за облака и облачните IoT услуги и как да свържете вашето растение към една от тях вместо към публичен MQTT брокер                                   |               [Мигриране на вашето растение към облака](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Ферма](./2-farm/README.md)            |         Мигриране на логиката на приложението към облака         | Научете как можете да пишете логика на приложението в облака, която реагира на IoT съобщения                                                                          |         [Мигриране на логиката на приложението към облака](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Ферма](./2-farm/README.md)            |                   Осигурете сигурност за вашето растение                    | Научете за сигурността с IoT и как да осигурите сигурност за вашето растение с ключове и сертификати                                                                          |                        [Осигурете сигурност за вашето растение](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Транспорт](./3-transport/README.md)       |                      Проследяване на местоположението                      | Научете за GPS проследяване на местоположението за IoT устройства                                                                                                                   |                           [Проследяване на местоположението](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Транспорт](./3-transport/README.md)       |                     Съхраняване на данни за местоположението                     | Научете как да съхранявате IoT данни, за да бъдат визуализирани или анализирани по-късно                                                                                                      |                         [Съхраняване на данни за местоположението](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Транспорт](./3-transport/README.md)       |                   Визуализиране на данни за местоположението                   | Научете за визуализирането на данни за местоположението на карта и как картите представят реалния 3D свят в две измерения                                                            |                     [Визуализиране на данни за местоположението](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Транспорт](./3-transport/README.md)       |                          Геозони                          | Научете за геозоните и как те могат да се използват за предупреждение, когато превозни средства в веригата за доставки са близо до своята дестинация                                           |                                   [Геозони](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Производство](./4-manufacturing/README.md)   |               Обучение на детектор за качество на плодове                | Научете за обучението на класификатор на изображения в облака за откриване на качеството на плодове                                                                                       |                 [Обучение на детектор за качество на плодове](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Производство](./4-manufacturing/README.md)   |           Проверка на качеството на плодове от IoT устройство            | Научете как да използвате вашия детектор за качество на плодове от IoT устройство                                                                                                    |           [Проверка на качеството на плодове от IoT устройство](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Производство](./4-manufacturing/README.md)   |             Изпълнение на детектор за плодове на периферията             | Научете как да изпълнявате вашия детектор за плодове на IoT устройство на периферията                                                                                                |             [Изпълнение на детектор за плодове на периферията](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Производство](./4-manufacturing/README.md)   |        Задействане на откриване на качество на плодове от сензор        | Научете как да задействате откриване на качество на плодове от сензор                                                                                                        |        [Задействане на откриване на качество на плодове от сензор](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Търговия на дребно](./5-retail/README.md)          |                   Обучение на детектор за наличности                    | Научете как да използвате откриване на обекти, за да обучите детектор за наличности за преброяване на стоки в магазин                                                                                |                        [Обучение на детектор за наличности](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  08   |            [Ферма](./2-farm/README.md)            |               Мигрирайте растението си в облака               | Научете за облака и облачно хостваните IoT услуги и как да свържете растението си с една от тях вместо с публичен MQTT брокер                                   |               [Мигрирайте растението си в облака](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ферма](./2-farm/README.md)            |         Мигрирайте логиката на приложението си в облака         | Научете как можете да пишете логика на приложението в облака, която реагира на IoT съобщения                                                                          |         [Мигрирайте логиката на приложението си в облака](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Ферма](./2-farm/README.md)            |                   Осигурете сигурност за растението си                    | Научете за сигурността в IoT и как да осигурите сигурност за растението си с ключове и сертификати                                                                          |                        [Осигурете сигурност за растението си](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Транспорт](./3-transport/README.md)       |                      Проследяване на местоположение                      | Научете за GPS проследяване на местоположението за IoT устройства                                                                                                                   |                           [Проследяване на местоположение](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Транспорт](./3-transport/README.md)       |                     Съхранение на данни за местоположение                     | Научете как да съхранявате IoT данни за визуализация или анализ по-късно                                                                                                      |                         [Съхранение на данни за местоположение](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Транспорт](./3-transport/README.md)       |                   Визуализация на данни за местоположение                   | Научете за визуализацията на данни за местоположение на карта и как картите представят реалния 3D свят в две измерения                                                            |                     [Визуализация на данни за местоположение](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Транспорт](./3-transport/README.md)       |                          Геозони                          | Научете за геозоните и как те могат да се използват за известяване, когато превозни средства в снабдителната верига са близо до дестинацията си                                           |                                   [Геозони](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Производство](./4-manufacturing/README.md)   |               Обучение на детектор за качество на плодове                | Научете как да обучите класификатор на изображения в облака за откриване на качеството на плодове                                                                                       |                 [Обучение на детектор за качество на плодове](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Производство](./4-manufacturing/README.md)   |           Проверка на качеството на плодове от IoT устройство            | Научете как да използвате детектора за качество на плодове от IoT устройство                                                                                                    |           [Проверка на качеството на плодове от IoT устройство](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Производство](./4-manufacturing/README.md)   |             Стартиране на детектора за плодове на периферията             | Научете как да стартирате детектора за плодове на IoT устройство на периферията                                                                                                |             [Стартиране на детектора за плодове на периферията](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Производство](./4-manufacturing/README.md)   |        Задействане на откриване на качеството на плодове от сензор        | Научете как да задействате откриване на качеството на плодове от сензор                                                                                                        |        [Задействане на откриване на качеството на плодове от сензор](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Търговия на дребно](./5-retail/README.md)          |                   Обучение на детектор за наличности                    | Научете как да използвате откриване на обекти за обучение на детектор за наличности, за да броите наличностите в магазин                                                                                |                        [Обучение на детектор за наличности](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [Търговия на дребно](./5-retail/README.md)          |               Проверка на наличности от IoT устройство                | Научете как да проверявате наличности от IoT устройство, използвайки модел за откриване на обекти                                                                                         |                     [Проверка на наличности от IoT устройство](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [Потребител](./6-consumer/README.md)        |             Разпознаване на реч с IoT устройство             | Научете как да разпознавате реч от IoT устройство, за да изградите интелигентен таймер                                                                                             |                  [Разпознаване на реч с IoT устройство](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Потребител](./6-consumer/README.md)        |                     Разбиране на език                     | Научете как да разбирате изречения, казани на IoT устройство                                                                                                           |                        [Разбиране на език](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Потребител](./6-consumer/README.md)        |           Настройка на таймер и предоставяне на гласова обратна връзка           | Научете как да настроите таймер на IoT устройство и да предоставите гласова обратна връзка за времето на настройка и завършване                                                    |                 [Настройка на таймер и предоставяне на гласова обратна връзка](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Потребител](./6-consumer/README.md)        |                 Поддръжка на множество езици                  | Научете как да поддържате множество езици, както за говорене, така и за отговорите от вашия интелигентен таймер                                                               |                   [Поддръжка на множество езици](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  22   |        [Потребител](./6-consumer/README.md)        |                     Разбиране на език                     | Научете как да разбирате изречения, изговорени към IoT устройство                                                                                                           |                        [Разбиране на език](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Потребител](./6-consumer/README.md)        |           Настройка на таймер и предоставяне на гласова обратна връзка           | Научете как да настроите таймер на IoT устройство и да предоставите гласова обратна връзка за това кога таймерът е настроен и кога приключва                                                    |                 [Настройка на таймер и предоставяне на гласова обратна връзка](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Потребител](./6-consumer/README.md)        |                 Поддръжка на множество езици                  | Научете как да поддържате множество езици, както за изговорените към устройството, така и за отговорите от интелигентния таймер                                                               |                   [Поддръжка на множество езици](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Офлайн достъп
 
-Можете да използвате тази документация офлайн, като използвате [Docsify](https://docsify.js.org/#/). Клонирайте това хранилище, [инсталирайте Docsify](https://docsify.js.org/#/quickstart) на вашия локален компютър и след това в основната папка на това хранилище въведете `docsify serve`. Уебсайтът ще бъде достъпен на порт 3000 на вашия локален хост: `localhost:3000`.
+Можете да стартирате тази документация офлайн, използвайки [Docsify](https://docsify.js.org/#/). Форкнете това хранилище, [инсталирайте Docsify](https://docsify.js.org/#/quickstart) на вашата локална машина и след това в основната папка на това хранилище въведете `docsify serve`. Уебсайтът ще бъде достъпен на порт 3000 на вашия localhost: `localhost:3000`.
 
 ## Тест
 
-Благодарим на общността за организирането на интерактивния тест, който проверява вашите знания за всяка от главите. Можете да проверите знанията си [тук](https://ff-quizzes.netlify.app/en/) 
+Благодарности на общността за хостването на интерактивния тест, който проверява знанията ви за всяка от главите. Можете да проверите знанията си [тук](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Можете да генерирате PDF на това съдържание за офлайн достъп, ако е необходимо. За да направите това, уверете се, че сте инсталирали [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) и изпълнете следните команди в основната папка на това хранилище:
+Можете да генерирате PDF на това съдържание за офлайн достъп, ако е необходимо. За да направите това, уверете се, че имате [инсталиран npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) и изпълнете следните команди в основната папка на това хранилище:
 
 ```sh
 npm i
 npm run convert
 ```
 
-### Презентации
+### Слайдове
 
 Има презентации за някои от уроците в папката [slides](../../slides).
 
 
 ## Други учебни програми
 
-Нашият екип създава и други учебни програми! Вижте:
+Нашият екип създава и други учебни програми! Разгледайте:
 
 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Агенти
-[![AZD за начинаещи](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI за начинаещи](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP за начинаещи](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI агенти за начинаещи](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD за начинаещи](https://img.shields.io/badge/AZD%20за%20начинаещи-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI за начинаещи](https://img.shields.io/badge/Edge%20AI%20за%20начинаещи-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP за начинаещи](https://img.shields.io/badge/MCP%20за%20начинаещи-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI агенти за начинаещи](https://img.shields.io/badge/AI%20агенти%20за%20начинаещи-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
  
 ### Серия за Генеративен AI
-[![Генеративен AI за начинаещи](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Генеративен AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Генеративен AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Генеративен AI за начинаещи](https://img.shields.io/badge/Генеративен%20AI%20за%20начинаещи-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Генеративен AI (.NET)](https://img.shields.io/badge/Генеративен%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Генеративен AI (Java)](https://img.shields.io/badge/Генеративен%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![Генеративен AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Основно обучение
-[![ML за начинаещи](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Наука за данни за начинаещи](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI за начинаещи](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Киберсигурност за начинаещи](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Уеб разработка за начинаещи](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT за начинаещи](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR разработка за начинаещи](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Машинно обучение за начинаещи](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Наука за данни за начинаещи](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI за начинаещи](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Киберсигурност за начинаещи](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Уеб разработка за начинаещи](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT за начинаещи](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR разработка за начинаещи](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Серия Copilot  
-[![Copilot за AI съвместно програмиране](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot за C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot приключение](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Серия Copilot
+[![Copilot за AI съвместно програмиране](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot за C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot приключение](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Атрибуции на изображения  
+## Атрибуции на изображения
 
-Можете да намерите всички атрибуции за изображенията, използвани в тази учебна програма, където е необходимо, в [Атрибуции](./attributions.md).  
+Можете да намерите всички атрибуции за използваните изображения в тази учебна програма, където е необходимо, в [Атрибуции](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Отказ от отговорност**:  
-Този документ е преведен с помощта на AI услуга за превод [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматизираните преводи може да съдържат грешки или неточности. Оригиналният документ на неговия роден език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да е недоразумения или погрешни интерпретации, произтичащи от използването на този превод.
\ No newline at end of file
+Този документ е преведен с помощта на AI услуга за превод [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматизираните преводи може да съдържат грешки или неточности. Оригиналният документ на неговия роден език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да било недоразумения или погрешни интерпретации, произтичащи от използването на този превод.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/bn/README.md b/translations/bn/README.md
index c29606efe..784d4d49a 100644
--- a/translations/bn/README.md
+++ b/translations/bn/README.md
@@ -1,156 +1,161 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:03:19+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:27:54+00:00",
   "source_file": "README.md",
   "language_code": "bn"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Azure AI Foundry কমিউনিটিতে যোগ দিন 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Azure AI Foundry কমিউনিটিতে যোগ দিন  
 
-এই রিসোর্সগুলো ব্যবহার শুরু করতে নিচের ধাপগুলো অনুসরণ করুন:
-1. **রিপোজিটরি ফর্ক করুন**: ক্লিক করুন [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **রিপোজিটরি ক্লোন করুন**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord-এ যোগ দিন এবং বিশেষজ্ঞ ও অন্যান্য ডেভেলপারদের সাথে পরিচিত হন**](https://discord.com/invite/ByRwuEEgH4)
+যদি আপনি আটকে যান বা AI অ্যাপ তৈরি নিয়ে কোনো প্রশ্ন থাকে, তাহলে এই কমিউনিটিতে যোগ দিন। এখানে শিক্ষার্থী এবং অভিজ্ঞ ডেভেলপাররা MCP নিয়ে আলোচনা করেন। এটি একটি সহায়ক কমিউনিটি যেখানে প্রশ্ন করা স্বাগত এবং জ্ঞান বিনিময় করা হয়।  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 বহু-ভাষার সমর্থন
+যদি কোনো পণ্য সম্পর্কিত মতামত বা বিল্ডিংয়ের সময় কোনো ত্রুটি পান, তাহলে এখানে যান:  
 
-#### GitHub Action এর মাধ্যমে সমর্থিত (স্বয়ংক্রিয় এবং সর্বদা আপডেটেড)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](./README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+এই রিসোর্সগুলো ব্যবহার শুরু করতে নিচের ধাপগুলো অনুসরণ করুন:  
+1. **রিপোজিটরি ফর্ক করুন**: ক্লিক করুন [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **রিপোজিটরি ক্লোন করুন**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Microsoft Foundry Discord-এ যোগ দিন এবং বিশেষজ্ঞ ও অন্যান্য ডেভেলপারদের সাথে পরিচিত হন**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT for Beginners - একটি কারিকুলাম
+### 🌐 বহু-ভাষার সমর্থন  
 
-Microsoft-এর Azure Cloud Advocates আপনাদের জন্য IoT-এর মৌলিক বিষয়গুলো নিয়ে ১২ সপ্তাহের, ২৪টি পাঠের একটি কারিকুলাম উপস্থাপন করতে পেরে আনন্দিত। প্রতিটি পাঠে রয়েছে প্রাক-পাঠ এবং পর-পাঠ কুইজ, পাঠ সম্পন্ন করার জন্য লিখিত নির্দেশনা, সমাধান, অ্যাসাইনমেন্ট এবং আরও অনেক কিছু। আমাদের প্রকল্প-ভিত্তিক শিক্ষাদান পদ্ধতি আপনাকে শেখার সময় তৈরি করতে সাহায্য করে, যা নতুন দক্ষতা অর্জনের জন্য একটি প্রমাণিত উপায়।
+#### GitHub Action এর মাধ্যমে সমর্থিত (স্বয়ংক্রিয় এবং সর্বদা আপডেটেড)  
 
-এই প্রকল্পগুলো খাদ্যের উৎপাদন থেকে টেবিল পর্যন্ত যাত্রা কভার করে। এর মধ্যে রয়েছে কৃষি, লজিস্টিকস, উৎপাদন, খুচরা এবং ভোক্তা - IoT ডিভাইসের জন্য জনপ্রিয় শিল্প ক্ষেত্র।
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabic](../ar/README.md) | [Bengali](./README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![কোর্সের একটি রোডম্যাপ যেখানে ২৪টি পাঠ রয়েছে যা পরিচিতি, কৃষি, পরিবহন, প্রক্রিয়াকরণ, খুচরা এবং রান্না কভার করে](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.bn.jpg)
+# IoT for Beginners - একটি কারিকুলাম  
 
-> স্কেচনোট করেছেন [নিত্য নারাসিমহান](https://github.com/nitya)। বড় সংস্করণের জন্য ছবিতে ক্লিক করুন।
+Microsoft-এর Azure Cloud Advocates একটি ১২-সপ্তাহের, ২৪-লেসনের কারিকুলাম নিয়ে এসেছে যা IoT-এর মৌলিক বিষয়গুলো নিয়ে। প্রতিটি লেসনে রয়েছে প্রাক-লেসন এবং পরবর্তী লেসনের কুইজ, লেসন সম্পন্ন করার জন্য লিখিত নির্দেশনা, একটি সমাধান, একটি অ্যাসাইনমেন্ট এবং আরও অনেক কিছু। আমাদের প্রকল্প-ভিত্তিক পদ্ধতি আপনাকে শেখার সময় প্রকল্প তৈরি করতে সাহায্য করে, যা নতুন দক্ষতা অর্জনের একটি প্রমাণিত উপায়।  
 
-**আমাদের লেখক [জেন ফক্স](https://github.com/jenfoxbot), [জেন লুপার](https://github.com/jlooper), [জিম বেনেট](https://github.com/jimbobbennett), এবং আমাদের স্কেচনোট শিল্পী [নিত্য নারাসিমহান](https://github.com/nitya)-কে আন্তরিক ধন্যবাদ।**
+এই প্রকল্পগুলো খাদ্যের উৎপাদন থেকে টেবিল পর্যন্ত যাত্রা কভার করে। এর মধ্যে রয়েছে কৃষি, লজিস্টিকস, উৎপাদন, খুচরা এবং ভোক্তা - যা IoT ডিভাইসের জন্য জনপ্রিয় শিল্প ক্ষেত্র।  
 
-**এছাড়াও আমাদের [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) টিমকে ধন্যবাদ যারা এই কারিকুলামটি পর্যালোচনা এবং অনুবাদ করেছেন - [আদিত্য গার্গ](https://github.com/AdityaGarg00), [অনুরাগ শর্মা](https://github.com/Anurag-0-1-A), [অর্পিতা দাস](https://github.com/Arpiiitaaa), [আর্যন জৈন](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [ভবেশ সুনেজা](https://github.com/EliteWarrior315), [ফেইথ হুঞ্জা](https://faithhunja.github.io/), [লতিফা বেলো](https://www.linkedin.com/in/lateefah-bello/), [মানভি ঝা](https://github.com/Severus-Matthew), [মিরেইল ট্যান](https://www.linkedin.com/in/mireille-tan-a4834819a/), [মোহাম্মদ ইফতেখার (ইফটু) ইবনে জালাল](https://github.com/Iftu119), [মোহাম্মদ জুলফিকার](https://github.com/mohzulfikar), [প্রিয়াংশু শ্রীবাস্তব](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [থানমাই গৌডুচেরুভু](https://github.com/innovation-platform), এবং [জিনা কামেল](https://www.linkedin.com/in/zina-kamel/)।**
+![কোর্সের একটি রোডম্যাপ যেখানে ২৪টি লেসন রয়েছে, যা পরিচিতি, কৃষি, পরিবহন, প্রক্রিয়াকরণ, খুচরা এবং রান্না কভার করে](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.bn.jpg)  
 
-টিমের সাথে পরিচিত হন!
+> স্কেচনোট করেছেন [নিত্যা নারাসিমহান](https://github.com/nitya)। বড় সংস্করণের জন্য ছবিতে ক্লিক করুন।  
 
-[![প্রোমো ভিডিও](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**আমাদের লেখক [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), এবং আমাদের স্কেচনোট শিল্পী [নিত্যা নারাসিমহান](https://github.com/nitya)-কে আন্তরিক ধন্যবাদ।**  
 
-**Gif করেছেন** [মোহিত জয়সল](https://linkedin.com/in/mohitjaisal)
+**এছাড়াও, আমাদের [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) টিমকে ধন্যবাদ, যারা এই কারিকুলাম পর্যালোচনা এবং অনুবাদ করেছেন - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), এবং [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)।**  
 
-> 🎥 উপরের ছবিতে ক্লিক করুন প্রকল্প সম্পর্কে একটি ভিডিও দেখার জন্য!
+টিমের সাথে পরিচিত হন!  
 
-> **শিক্ষকগণ**, আমরা এই কারিকুলামটি কীভাবে ব্যবহার করবেন তার জন্য [কিছু পরামর্শ](for-teachers.md) অন্তর্ভুক্ত করেছি। আপনি যদি নিজের পাঠ তৈরি করতে চান, আমরা একটি [পাঠের টেমপ্লেট](lesson-template/README.md) অন্তর্ভুক্ত করেছি।
+[![প্রোমো ভিডিও](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[শিক্ষার্থীরা](https://aka.ms/student-page)**, এই কারিকুলামটি নিজেরাই ব্যবহার করতে চাইলে পুরো রিপোজিটরি ফর্ক করুন এবং নিজেরাই অনুশীলন সম্পন্ন করুন, প্রাক-লেকচার কুইজ দিয়ে শুরু করুন, তারপর লেকচার পড়ুন এবং বাকি কার্যক্রম সম্পন্ন করুন। পাঠগুলো বুঝে প্রকল্প তৈরি করার চেষ্টা করুন, সমাধান কোড কপি না করে; তবে সেই কোডটি প্রতিটি প্রকল্প-ভিত্তিক পাঠের /solutions ফোল্ডারে উপলব্ধ। আরেকটি ধারণা হতে পারে বন্ধুদের সাথে একটি স্টাডি গ্রুপ তৈরি করা এবং একসাথে বিষয়বস্তুটি সম্পন্ন করা। আরও অধ্যয়নের জন্য, আমরা [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) সুপারিশ করি।
+**Gif করেছেন** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-এই কোর্সের একটি ভিডিও ওভারভিউ দেখতে, এই ভিডিওটি দেখুন:
+> 🎥 উপরের ছবিতে ক্লিক করে প্রকল্প সম্পর্কে একটি ভিডিও দেখুন!  
 
-[![প্রোমো ভিডিও](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> **শিক্ষকগণ**, আমরা এই কারিকুলাম ব্যবহারের জন্য [কিছু পরামর্শ](for-teachers.md) অন্তর্ভুক্ত করেছি। যদি আপনি নিজের লেসন তৈরি করতে চান, আমরা একটি [লেসন টেমপ্লেট](lesson-template/README.md) অন্তর্ভুক্ত করেছি।  
 
-> 🎥 উপরের ছবিতে ক্লিক করুন প্রকল্প সম্পর্কে একটি ভিডিও দেখার জন্য!
+> **[শিক্ষার্থীরা](https://aka.ms/student-page)**, এই কারিকুলামটি নিজের জন্য ব্যবহার করতে, পুরো রিপো ফর্ক করুন এবং নিজে নিজে অনুশীলন সম্পন্ন করুন। প্রাক-লেকচার কুইজ দিয়ে শুরু করুন, তারপর লেকচার পড়ুন এবং বাকি কার্যক্রম সম্পন্ন করুন। লেসনগুলো বুঝে প্রকল্প তৈরি করার চেষ্টা করুন, সমাধান কোড কপি না করে; তবে সেই কোড প্রতিটি প্রকল্প-ভিত্তিক লেসনের /solutions ফোল্ডারে পাওয়া যাবে। আরেকটি ধারণা হতে পারে বন্ধুদের সাথে একটি স্টাডি গ্রুপ তৈরি করা এবং একসাথে কন্টেন্টটি পড়া। আরও অধ্যয়নের জন্য, আমরা [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) সুপারিশ করি।  
 
-## শিক্ষাদান পদ্ধতি
+এই কোর্সের একটি ভিডিও ওভারভিউ দেখতে, এই ভিডিওটি দেখুন:  
 
-আমরা এই কারিকুলামটি তৈরি করার সময় দুটি শিক্ষাদান নীতি বেছে নিয়েছি: এটি প্রকল্প-ভিত্তিক নিশ্চিত করা এবং এতে ঘন ঘন কুইজ অন্তর্ভুক্ত করা। এই সিরিজের শেষে, শিক্ষার্থীরা একটি গাছ পর্যবেক্ষণ এবং জল দেওয়ার সিস্টেম, একটি যানবাহন ট্র্যাকার, একটি স্মার্ট ফ্যাক্টরি সেটআপ যা খাদ্য ট্র্যাক এবং পরীক্ষা করে, এবং একটি ভয়েস-নিয়ন্ত্রিত রান্নার টাইমার তৈরি করবে এবং IoT-এর মৌলিক বিষয়গুলো শিখবে, যার মধ্যে রয়েছে ডিভাইস কোড লেখা, ক্লাউডে সংযোগ করা, টেলিমেট্রি বিশ্লেষণ করা এবং এজে AI চালানো।
+[![প্রোমো ভিডিও](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "প্রোমো ভিডিও")  
 
-প্রকল্পের সাথে বিষয়বস্তু সংযুক্ত করে শিক্ষার্থীদের জন্য প্রক্রিয়াটি আরও আকর্ষণীয় করা হয় এবং ধারণাগুলোর ধারণক্ষমতা বৃদ্ধি পায়।
+> 🎥 উপরের ছবিতে ক্লিক করে প্রকল্প সম্পর্কে একটি ভিডিও দেখুন!  
 
-এছাড়াও, একটি ক্লাসের আগে একটি কম ঝুঁকির কুইজ শিক্ষার্থীর মনোযোগ একটি বিষয় শেখার দিকে সেট করে, যখন ক্লাসের পরে একটি দ্বিতীয় কুইজ আরও ধারণক্ষমতা নিশ্চিত করে। এই কারিকুলামটি নমনীয় এবং মজাদার করার জন্য ডিজাইন করা হয়েছে এবং এটি সম্পূর্ণ বা আংশিকভাবে নেওয়া যেতে পারে। প্রকল্পগুলো ছোট থেকে শুরু হয় এবং ১২ সপ্তাহের চক্রের শেষে ক্রমশ জটিল হয়ে ওঠে।
+## শিক্ষণ পদ্ধতি  
 
-প্রতিটি প্রকল্প বাস্তব-জগতের হার্ডওয়্যার নিয়ে তৈরি যা শিক্ষার্থী এবং শখের মানুষের জন্য উপলব্ধ। প্রতিটি প্রকল্প নির্দিষ্ট প্রকল্প ডোমেইন নিয়ে আলোচনা করে, প্রাসঙ্গিক পটভূমি জ্ঞান প্রদান করে। একজন সফল ডেভেলপার হতে হলে আপনি যে ডোমেইনে সমস্যার সমাধান করছেন তা বোঝা গুরুত্বপূর্ণ, এই পটভূমি জ্ঞান প্রদান শিক্ষার্থীদের তাদের IoT সমাধান এবং শিক্ষাগুলো বাস্তব-জগতের সমস্যার প্রসঙ্গে চিন্তা করতে সাহায্য করে যা একজন IoT ডেভেলপার হিসেবে সমাধান করতে বলা হতে পারে। শিক্ষার্থীরা তারা যে সমাধানগুলো তৈরি করছে তার 'কেন' শিখে এবং শেষ ব্যবহারকারীর প্রশংসা পায়।
+আমরা এই কারিকুলাম তৈরি করার সময় দুটি শিক্ষণ পদ্ধতি বেছে নিয়েছি: এটি প্রকল্প-ভিত্তিক এবং এতে ঘন ঘন কুইজ অন্তর্ভুক্ত। এই সিরিজের শেষে, শিক্ষার্থীরা একটি গাছ পর্যবেক্ষণ এবং জল দেওয়ার সিস্টেম, একটি যানবাহন ট্র্যাকার, একটি স্মার্ট ফ্যাক্টরি সেটআপ এবং একটি ভয়েস-নিয়ন্ত্রিত রান্নার টাইমার তৈরি করবে এবং IoT-এর মৌলিক বিষয়গুলো শিখবে, যেমন ডিভাইস কোড লেখা, ক্লাউডে সংযোগ স্থাপন, টেলিমেট্রি বিশ্লেষণ এবং এজে AI চালানো।  
 
-## হার্ডওয়্যার
+প্রকল্পের সাথে সামঞ্জস্য রেখে কন্টেন্ট তৈরি করার মাধ্যমে শিক্ষার্থীদের জন্য প্রক্রিয়াটি আরও আকর্ষণীয় করা হয় এবং ধারণাগুলোর ধারণক্ষমতা বৃদ্ধি পায়।  
 
-আমাদের প্রকল্পগুলোর জন্য IoT হার্ডওয়্যারের দুটি পছন্দ রয়েছে যা ব্যক্তিগত পছন্দ, প্রোগ্রামিং ভাষার জ্ঞান বা পছন্দ, শেখার লক্ষ্য এবং প্রাপ্যতার উপর নির্ভর করে। আমরা যারা হার্ডওয়্যারে অ্যাক্সেস নেই তাদের জন্য বা কেনার আগে আরও শিখতে চান তাদের জন্য একটি 'ভার্চুয়াল হার্ডওয়্যার' সংস্করণও প্রদান করেছি। আপনি [হার্ডওয়্যার পৃষ্ঠায়](./hardware.md) আরও পড়তে পারেন এবং আমাদের বন্ধু Seeed Studio থেকে সম্পূর্ণ কিট কেনার জন্য লিঙ্ক খুঁজে পেতে পারেন।
+এছাড়াও, ক্লাসের আগে একটি কম ঝুঁকির কুইজ শিক্ষার্থীর মনোযোগ একটি নির্দিষ্ট বিষয়ের দিকে নিয়ে যায়, আর ক্লাসের পরে একটি কুইজ ধারণক্ষমতা আরও নিশ্চিত করে। এই কারিকুলামটি নমনীয় এবং মজাদার হতে ডিজাইন করা হয়েছে এবং এটি পুরোপুরি বা আংশিকভাবে নেওয়া যেতে পারে। প্রকল্পগুলো ছোট থেকে শুরু করে এবং ১২ সপ্তাহের চক্রের শেষে ক্রমশ জটিল হয়ে ওঠে।  
 
-> 💁 আমাদের [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), এবং [Translation](TRANSLATIONS.md) নির্দেশিকা খুঁজুন। আমরা আপনার গঠনমূলক প্রতিক্রিয়া স্বাগত জানাই!
+প্রতিটি প্রকল্প বাস্তব হার্ডওয়্যার ব্যবহার করে তৈরি করা হয়েছে যা শিক্ষার্থী এবং শখের ডেভেলপারদের জন্য সহজলভ্য। প্রতিটি প্রকল্প নির্দিষ্ট প্রকল্প ডোমেইন নিয়ে আলোচনা করে এবং প্রাসঙ্গিক পটভূমি জ্ঞান প্রদান করে। একজন সফল ডেভেলপার হতে হলে যে ডোমেইনে আপনি সমস্যার সমাধান করছেন তা বোঝা গুরুত্বপূর্ণ। এই পটভূমি জ্ঞান শিক্ষার্থীদের তাদের IoT সমাধান এবং শেখাগুলো বাস্তব জীবনের সমস্যার প্রেক্ষাপটে ভাবতে সাহায্য করে। শিক্ষার্থীরা তাদের তৈরি সমাধানের 'কেন' বুঝতে পারে এবং শেষ ব্যবহারকারীর প্রতি একটি প্রশংসা পায়।  
 
-## প্রতিটি পাঠ অন্তর্ভুক্ত করে:
+## হার্ডওয়্যার  
 
-- স্কেচনোট
-- ঐচ্ছিক সম্পূরক ভিডিও
-- প্রাক-পাঠ প্রস্তুতি কুইজ
-- লিখিত পাঠ
-- প্রকল্প-ভিত্তিক পাঠের জন্য, প্রকল্পটি কীভাবে তৈরি করবেন তার ধাপে ধাপে নির্দেশিকা
-- জ্ঞান পরীক্ষা
-- একটি চ্যালেঞ্জ
-- সম্পূরক পাঠ্য
-- অ্যাসাইনমেন্ট
-- [পাঠ-পরবর্তী কুইজ](https://ff-quizzes.netlify.app/en/)
+আমাদের প্রকল্পগুলোর জন্য IoT হার্ডওয়্যারের দুটি বিকল্প রয়েছে, যা ব্যক্তিগত পছন্দ, প্রোগ্রামিং ভাষার জ্ঞান বা পছন্দ, শেখার লক্ষ্য এবং প্রাপ্যতার উপর নির্ভর করে। আমরা একটি 'ভার্চুয়াল হার্ডওয়্যার' সংস্করণও প্রদান করেছি তাদের জন্য যারা হার্ডওয়্যার অ্যাক্সেস করতে পারেন না বা কেনার আগে আরও শিখতে চান। আপনি [হার্ডওয়্যার পৃষ্ঠায়](./hardware.md) আরও পড়তে পারেন এবং একটি 'শপিং লিস্ট' খুঁজে পেতে পারেন, যেখানে আমাদের বন্ধু Seeed Studio থেকে সম্পূর্ণ কিট কেনার লিঙ্ক অন্তর্ভুক্ত রয়েছে।  
 
-> **কুইজ সম্পর্কে একটি নোট**: সমস্ত কুইজ quiz-app ফোল্ডারে অন্তর্ভুক্ত, মোট ৪৮টি কুইজ রয়েছে যার প্রতিটিতে তিনটি প্রশ্ন। এগুলো পাঠের মধ্যে থেকে লিঙ্ক করা হয়েছে তবে quiz-app লোকালভাবে চালানো বা Azure-এ ডিপ্লয় করা যেতে পারে; `quiz-app` ফোল্ডারে নির্দেশনা অনুসরণ করুন। এগুলো ধীরে ধীরে স্থানীয়করণ করা হচ্ছে।
+> 💁 আমাদের [আচরণবিধি](CODE_OF_CONDUCT.md), [অবদান](CONTRIBUTING.md), এবং [অনুবাদ](TRANSLATIONS.md) নির্দেশিকা খুঁজুন। আমরা আপনার গঠনমূলক মতামতকে স্বাগত জানাই!  
+
+## প্রতিটি লেসনে অন্তর্ভুক্ত:  
+
+- স্কেচনোট  
+- ঐচ্ছিক সম্পূরক ভিডিও  
+- প্রাক-লেসন ওয়ার্মআপ কুইজ  
+- লিখিত লেসন  
+- প্রকল্প-ভিত্তিক লেসনের জন্য, প্রকল্পটি কীভাবে তৈরি করবেন তার ধাপে ধাপে নির্দেশিকা  
+- জ্ঞান যাচাই  
+- একটি চ্যালেঞ্জ  
+- সম্পূরক পাঠ্য  
+- অ্যাসাইনমেন্ট  
+- [পরবর্তী লেসন কুইজ](https://ff-quizzes.netlify.app/en/)  
+> **কুইজ সম্পর্কে একটি নোট**: সমস্ত কুইজগুলি quiz-app ফোল্ডারে অন্তর্ভুক্ত রয়েছে, মোট ৪৮টি কুইজ, প্রতিটিতে তিনটি প্রশ্ন। এগুলি পাঠের মধ্যে থেকে সংযুক্ত করা হয়েছে তবে quiz-app লোকালভাবে চালানো বা Azure-এ ডিপ্লয় করা যেতে পারে; `quiz-app` ফোল্ডারের নির্দেশনা অনুসরণ করুন। এগুলি ধীরে ধীরে স্থানীয়করণ করা হচ্ছে।
 
 ## পাঠসমূহ
 
-|       |              প্রকল্পের নাম              |                       শেখানো ধারণা                       | শেখার লক্ষ্য                                                                                                                                                 |                                                        লিঙ্কযুক্ত পাঠ                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [শুরু করা](./1-getting-started/README.md) |                     IoT এর পরিচিতি                     | IoT এর মৌলিক নীতিমালা এবং IoT সমাধানের মৌলিক উপাদান যেমন সেন্সর এবং ক্লাউড পরিষেবা সম্পর্কে জানুন, যখন আপনি আপনার প্রথম IoT ডিভাইস সেটআপ করছেন |                      [IoT এর পরিচিতি](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [শুরু করা](./1-getting-started/README.md) |                   IoT এর গভীরতর বিশ্লেষণ                    | IoT সিস্টেমের উপাদান, মাইক্রোকন্ট্রোলার এবং সিঙ্গেল-বোর্ড কম্পিউটার সম্পর্কে আরও জানুন                                                            |                        [IoT এর গভীরতর বিশ্লেষণ](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [শুরু করা](./1-getting-started/README.md) | সেন্সর এবং অ্যাকচুয়েটরের মাধ্যমে বাস্তব জগতের সাথে যোগাযোগ করুন | বাস্তব জগত থেকে ডেটা সংগ্রহের জন্য সেন্সর এবং প্রতিক্রিয়া পাঠানোর জন্য অ্যাকচুয়েটর সম্পর্কে জানুন, যখন আপনি একটি নাইটলাইট তৈরি করবেন                                           | [সেন্সর এবং অ্যাকচুয়েটরের মাধ্যমে বাস্তব জগতের সাথে যোগাযোগ করুন](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [শুরু করা](./1-getting-started/README.md) |             আপনার ডিভাইসকে ইন্টারনেটে সংযুক্ত করুন             | একটি IoT ডিভাইসকে ইন্টারনেটে সংযুক্ত করার মাধ্যমে বার্তা পাঠানো এবং গ্রহণ করার পদ্ধতি সম্পর্কে জানুন, যখন আপনি আপনার নাইটলাইটকে একটি MQTT ব্রোকারের সাথে সংযুক্ত করবেন                               |               [আপনার ডিভাইসকে ইন্টারনেটে সংযুক্ত করুন](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [ফার্ম](./2-farm/README.md)            |                    উদ্ভিদের বৃদ্ধি পূর্বানুমান করুন                     | একটি IoT ডিভাইস দ্বারা সংগৃহীত তাপমাত্রার ডেটা ব্যবহার করে উদ্ভিদের বৃদ্ধি পূর্বানুমান করার পদ্ধতি শিখুন                                                                                  |                          [উদ্ভিদের বৃদ্ধি পূর্বানুমান করুন](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [ফার্ম](./2-farm/README.md)            |                    মাটির আর্দ্রতা সনাক্ত করুন                     | মাটির আর্দ্রতা সনাক্ত করার এবং একটি মাটির আর্দ্রতা সেন্সর ক্যালিব্রেট করার পদ্ধতি শিখুন                                                                                              |                          [মাটির আর্দ্রতা সনাক্ত করুন](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [ফার্ম](./2-farm/README.md)            |                  স্বয়ংক্রিয় উদ্ভিদ সেচ                   | একটি রিলে এবং MQTT ব্যবহার করে সেচ স্বয়ংক্রিয় এবং সময় নির্ধারণ করার পদ্ধতি শিখুন                                                                                                      |                      [স্বয়ংক্রিয় উদ্ভিদ সেচ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [ফার্ম](./2-farm/README.md)            |               আপনার উদ্ভিদকে ক্লাউডে স্থানান্তর করুন               | ক্লাউড এবং ক্লাউড-হোস্টেড IoT পরিষেবা সম্পর্কে জানুন এবং কীভাবে আপনার উদ্ভিদকে একটি পাবলিক MQTT ব্রোকারের পরিবর্তে এর সাথে সংযুক্ত করবেন                                   |               [আপনার উদ্ভিদকে ক্লাউডে স্থানান্তর করুন](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [ফার্ম](./2-farm/README.md)            |         আপনার অ্যাপ্লিকেশন লজিক ক্লাউডে স্থানান্তর করুন         | IoT বার্তার প্রতিক্রিয়া জানাতে ক্লাউডে অ্যাপ্লিকেশন লজিক লেখার পদ্ধতি সম্পর্কে জানুন                                                                          |         [আপনার অ্যাপ্লিকেশন লজিক ক্লাউডে স্থানান্তর করুন](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [ফার্ম](./2-farm/README.md)            |                   আপনার উদ্ভিদকে সুরক্ষিত রাখুন                    | IoT এর সাথে নিরাপত্তা এবং কী এবং সার্টিফিকেট ব্যবহার করে আপনার উদ্ভিদকে সুরক্ষিত রাখার পদ্ধতি শিখুন                                                                          |                        [আপনার উদ্ভিদকে সুরক্ষিত রাখুন](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [পরিবহন](./3-transport/README.md)       |                      অবস্থান ট্র্যাকিং                      | IoT ডিভাইসের জন্য GPS অবস্থান ট্র্যাকিং সম্পর্কে জানুন                                                                                                                   |                           [অবস্থান ট্র্যাকিং](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [পরিবহন](./3-transport/README.md)       |                     অবস্থান ডেটা সংরক্ষণ করুন                     | IoT ডেটা সংরক্ষণ করার পদ্ধতি শিখুন যা পরে ভিজ্যুয়ালাইজ বা বিশ্লেষণ করা যাবে                                                                                                      |                         [অবস্থান ডেটা সংরক্ষণ করুন](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [পরিবহন](./3-transport/README.md)       |                   অবস্থান ডেটা ভিজ্যুয়ালাইজ করুন                   | একটি মানচিত্রে অবস্থান ডেটা ভিজ্যুয়ালাইজ করার পদ্ধতি এবং কীভাবে মানচিত্র বাস্তব 3D জগতকে 2 মাত্রায় উপস্থাপন করে তা শিখুন                                                            |                     [অবস্থান ডেটা ভিজ্যুয়ালাইজ করুন](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [পরিবহন](./3-transport/README.md)       |                          জিওফেন্স                          | জিওফেন্স সম্পর্কে জানুন এবং কীভাবে সেগুলি সরবরাহ চেইনের যানবাহন গন্তব্যের কাছাকাছি এলে সতর্ক করার জন্য ব্যবহার করা যেতে পারে                                           |                                   [জিওফেন্স](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [উৎপাদন](./4-manufacturing/README.md)   |               একটি ফলের গুণমান সনাক্তকারী প্রশিক্ষণ দিন                | ক্লাউডে একটি ইমেজ ক্লাসিফায়ার প্রশিক্ষণ দিয়ে ফলের গুণমান সনাক্ত করার পদ্ধতি শিখুন                                                                                       |                 [একটি ফলের গুণমান সনাক্তকারী প্রশিক্ষণ দিন](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [উৎপাদন](./4-manufacturing/README.md)   |           একটি IoT ডিভাইস থেকে ফলের গুণমান পরীক্ষা করুন            | একটি IoT ডিভাইস থেকে আপনার ফলের গুণমান সনাক্তকারী ব্যবহার করার পদ্ধতি শিখুন                                                                                                    |           [একটি IoT ডিভাইস থেকে ফলের গুণমান পরীক্ষা করুন](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [উৎপাদন](./4-manufacturing/README.md)   |             আপনার ফল সনাক্তকারীকে এজে চালান             | একটি IoT ডিভাইসে এজে আপনার ফল সনাক্তকারী চালানোর পদ্ধতি শিখুন                                                                                                |             [আপনার ফল সনাক্তকারীকে এজে চালান](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [উৎপাদন](./4-manufacturing/README.md)   |        একটি সেন্সর থেকে ফলের গুণমান সনাক্তকরণ ট্রিগার করুন        | একটি সেন্সর থেকে ফলের গুণমান সনাক্তকরণ ট্রিগার করার পদ্ধতি শিখুন                                                                                                        |        [একটি সেন্সর থেকে ফলের গুণমান সনাক্তকরণ ট্রিগার করুন](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [খুচরা](./5-retail/README.md)          |                   একটি স্টক সনাক্তকারী প্রশিক্ষণ দিন                    | একটি দোকানে স্টক গণনা করার জন্য একটি স্টক সনাক্তকারী প্রশিক্ষণ দিতে অবজেক্ট ডিটেকশন ব্যবহার করার পদ্ধতি শিখুন                                                                                |                        [একটি স্টক সনাক্তকারী প্রশিক্ষণ দিন](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [খুচরা](./5-retail/README.md)          |               একটি IoT ডিভাইস থেকে স্টক পরীক্ষা করুন                | একটি IoT ডিভাইস থেকে একটি অবজেক্ট ডিটেকশন মডেল ব্যবহার করে স্টক পরীক্ষা করার পদ্ধতি শিখুন                                                                                         |                     [একটি IoT ডিভাইস থেকে স্টক পরীক্ষা করুন](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [ভোক্তা](./6-consumer/README.md)        |             একটি IoT ডিভাইস দিয়ে বক্তৃতা সনাক্ত করুন             | একটি স্মার্ট টাইমার তৈরি করতে একটি IoT ডিভাইস থেকে বক্তৃতা সনাক্ত করার পদ্ধতি শিখুন                                                                                             |                  [একটি IoT ডিভাইস দিয়ে বক্তৃতা সনাক্ত করুন](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [ভোক্তা](./6-consumer/README.md)        |                     ভাষা বোঝা                     | একটি IoT ডিভাইসে বলা বাক্যগুলি বোঝার পদ্ধতি শিখুন                                                                                                           |                        [ভাষা বোঝা](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [ভোক্তা](./6-consumer/README.md)        |           একটি টাইমার সেট করুন এবং কথিত প্রতিক্রিয়া প্রদান করুন           | একটি IoT ডিভাইসে একটি টাইমার সেট করার এবং কখন টাইমার সেট করা হয়েছে এবং কখন এটি শেষ হয়েছে তা নিয়ে কথিত প্রতিক্রিয়া দেওয়ার পদ্ধতি শিখুন                                                    |                 [একটি টাইমার সেট করুন এবং কথিত প্রতিক্রিয়া প্রদান করুন](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [ভোক্তা](./6-consumer/README.md)        |                 একাধিক ভাষা সমর্থন করুন                  | কীভাবে একাধিক ভাষা সমর্থন করবেন, উভয়ই বলা এবং আপনার স্মার্ট টাইমার থেকে প্রতিক্রিয়া প্রদান করা                                                               |                   [একাধিক ভাষা সমর্থন করুন](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              প্রকল্পের নাম              |                       শেখানো ধারণা                       | শেখার উদ্দেশ্য                                                                                                                                                 |                                                        সংযুক্ত পাঠ                                                         |
+| :---: | :------------------------------------: | :-----------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-----------------------------------------------------------------------------------------------------------------------: |
+|  ০১   | [শুরু করা](./1-getting-started/README.md) |                     IoT-এর পরিচিতি                     | IoT-এর মৌলিক নীতিমালা এবং IoT সমাধানের মৌলিক উপাদান যেমন সেন্সর এবং ক্লাউড পরিষেবা সম্পর্কে জানুন, যখন আপনি আপনার প্রথম IoT ডিভাইস সেট আপ করছেন |                      [IoT-এর পরিচিতি](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  ০২   | [শুরু করা](./1-getting-started/README.md) |                   IoT সম্পর্কে গভীরভাবে জানুন                    | IoT সিস্টেমের উপাদান, মাইক্রোকন্ট্রোলার এবং সিঙ্গেল-বোর্ড কম্পিউটার সম্পর্কে আরও জানুন                                                            |                        [IoT সম্পর্কে গভীরভাবে জানুন](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  ০৩   | [শুরু করা](./1-getting-started/README.md) | সেন্সর এবং অ্যাকচুয়েটরের মাধ্যমে বাস্তব জগতের সাথে যোগাযোগ করুন | বাস্তব জগত থেকে ডেটা সংগ্রহ করার জন্য সেন্সর এবং প্রতিক্রিয়া পাঠানোর জন্য অ্যাকচুয়েটর সম্পর্কে জানুন, যখন আপনি একটি নাইটলাইট তৈরি করছেন                                           | [সেন্সর এবং অ্যাকচুয়েটরের মাধ্যমে বাস্তব জগতের সাথে যোগাযোগ করুন](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  ০৪   | [শুরু করা](./1-getting-started/README.md) |             আপনার ডিভাইসকে ইন্টারনেটে সংযুক্ত করুন             | একটি IoT ডিভাইসকে ইন্টারনেটে সংযুক্ত করার মাধ্যমে বার্তা পাঠানো এবং গ্রহণ করার পদ্ধতি সম্পর্কে জানুন, আপনার নাইটলাইটকে একটি MQTT ব্রোকারের সাথে সংযুক্ত করে                               |               [আপনার ডিভাইসকে ইন্টারনেটে সংযুক্ত করুন](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  ০৫   |            [ফার্ম](./2-farm/README.md)            |                    উদ্ভিদের বৃদ্ধি পূর্বাভাস দিন                     | একটি IoT ডিভাইস দ্বারা সংগৃহীত তাপমাত্রার ডেটা ব্যবহার করে উদ্ভিদের বৃদ্ধি পূর্বাভাস দেওয়ার পদ্ধতি শিখুন                                                                                  |                          [উদ্ভিদের বৃদ্ধি পূর্বাভাস দিন](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  ০৬   |            [ফার্ম](./2-farm/README.md)            |                    মাটির আর্দ্রতা সনাক্ত করুন                     | মাটির আর্দ্রতা সনাক্ত করার এবং একটি মাটির আর্দ্রতা সেন্সর ক্যালিব্রেট করার পদ্ধতি শিখুন                                                                                              |                          [মাটির আর্দ্রতা সনাক্ত করুন](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  ০৭   |            [ফার্ম](./2-farm/README.md)            |                  স্বয়ংক্রিয় উদ্ভিদ জলসেচ                   | একটি রিলে এবং MQTT ব্যবহার করে জলসেচ স্বয়ংক্রিয় এবং সময় নির্ধারণ করার পদ্ধতি শিখুন                                                                                                      |                      [স্বয়ংক্রিয় উদ্ভিদ জলসেচ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  ০৮   |            [ফার্ম](./2-farm/README.md)            |               আপনার উদ্ভিদকে ক্লাউডে স্থানান্তর করুন               | ক্লাউড এবং ক্লাউড-হোস্টেড IoT পরিষেবা সম্পর্কে জানুন এবং একটি পাবলিক MQTT ব্রোকারের পরিবর্তে আপনার উদ্ভিদকে এর সাথে সংযুক্ত করার পদ্ধতি শিখুন                                   |               [আপনার উদ্ভিদকে ক্লাউডে স্থানান্তর করুন](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  ০৯   |            [ফার্ম](./2-farm/README.md)            |         আপনার অ্যাপ্লিকেশন লজিককে ক্লাউডে স্থানান্তর করুন         | IoT বার্তাগুলির প্রতিক্রিয়া জানাতে ক্লাউডে অ্যাপ্লিকেশন লজিক লেখার পদ্ধতি শিখুন                                                                          |         [আপনার অ্যাপ্লিকেশন লজিককে ক্লাউডে স্থানান্তর করুন](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  ১০   |            [ফার্ম](./2-farm/README.md)            |                   আপনার উদ্ভিদকে সুরক্ষিত রাখুন                    | IoT-এর সাথে নিরাপত্তা এবং কী এবং সার্টিফিকেট ব্যবহার করে আপনার উদ্ভিদকে সুরক্ষিত রাখার পদ্ধতি শিখুন                                                                          |                        [আপনার উদ্ভিদকে সুরক্ষিত রাখুন](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  ১১   |       [পরিবহন](./3-transport/README.md)       |                      অবস্থান ট্র্যাকিং                      | IoT ডিভাইসের জন্য GPS অবস্থান ট্র্যাকিং সম্পর্কে জানুন                                                                                                                   |                           [অবস্থান ট্র্যাকিং](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  ১২   |       [পরিবহন](./3-transport/README.md)       |                     অবস্থান ডেটা সংরক্ষণ করুন                     | IoT ডেটা সংরক্ষণ করার পদ্ধতি শিখুন যা পরে ভিজ্যুয়ালাইজ বা বিশ্লেষণ করা যেতে পারে                                                                                                      |                         [অবস্থান ডেটা সংরক্ষণ করুন](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  ১৩   |       [পরিবহন](./3-transport/README.md)       |                   অবস্থান ডেটা ভিজ্যুয়ালাইজ করুন                   | একটি মানচিত্রে অবস্থান ডেটা ভিজ্যুয়ালাইজ করার পদ্ধতি এবং কীভাবে মানচিত্রগুলি বাস্তব ৩ডি জগতকে ২ মাত্রায় উপস্থাপন করে                                                            |                     [অবস্থান ডেটা ভিজ্যুয়ালাইজ করুন](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  ১৪   |       [পরিবহন](./3-transport/README.md)       |                          জিওফেন্স                          | জিওফেন্স সম্পর্কে জানুন এবং কীভাবে সরবরাহ চেইনের যানবাহন তাদের গন্তব্যের কাছাকাছি হলে সতর্ক করার জন্য এটি ব্যবহার করা যেতে পারে                                           |                                   [জিওফেন্স](./3-transport/lessons/4-geofences/README.md)                                   |
+|  ১৫   |   [উৎপাদন](./4-manufacturing/README.md)   |               একটি ফলের গুণমান সনাক্তকারী প্রশিক্ষণ দিন                | ক্লাউডে একটি ইমেজ ক্লাসিফায়ার প্রশিক্ষণ দিয়ে ফলের গুণমান সনাক্ত করার পদ্ধতি শিখুন                                                                                       |                 [একটি ফলের গুণমান সনাক্তকারী প্রশিক্ষণ দিন](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  ১৬   |   [উৎপাদন](./4-manufacturing/README.md)   |           IoT ডিভাইস থেকে ফলের গুণমান পরীক্ষা করুন            | IoT ডিভাইস থেকে আপনার ফলের গুণমান সনাক্তকারী ব্যবহার করার পদ্ধতি শিখুন                                                                                                    |           [IoT ডিভাইস থেকে ফলের গুণমান পরীক্ষা করুন](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  ১৭   |   [উৎপাদন](./4-manufacturing/README.md)   |             আপনার ফল সনাক্তকারীকে এজ-এ চালান             | এজ-এ একটি IoT ডিভাইসে আপনার ফল সনাক্তকারী চালানোর পদ্ধতি শিখুন                                                                                                |             [আপনার ফল সনাক্তকারীকে এজ-এ চালান](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  ১৮   |   [উৎপাদন](./4-manufacturing/README.md)   |        একটি সেন্সর থেকে ফলের গুণমান সনাক্তকরণ ট্রিগার করুন        | একটি সেন্সর থেকে ফলের গুণমান সনাক্তকরণ ট্রিগার করার পদ্ধতি শিখুন                                                                                                        |        [একটি সেন্সর থেকে ফলের গুণমান সনাক্তকরণ ট্রিগার করুন](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  ১৯   |          [খুচরা](./5-retail/README.md)          |                   একটি স্টক সনাক্তকারী প্রশিক্ষণ দিন                    | একটি দোকানে স্টক গণনা করার জন্য একটি স্টক সনাক্তকারী প্রশিক্ষণ দিতে অবজেক্ট ডিটেকশন ব্যবহার করার পদ্ধতি শিখুন                                                                                |                        [একটি স্টক সনাক্তকারী প্রশিক্ষণ দিন](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  ২০   |          [খুচরা](./5-retail/README.md)          |               IoT ডিভাইস থেকে স্টক পরীক্ষা করুন                | একটি অবজেক্ট ডিটেকশন মডেল ব্যবহার করে IoT ডিভাইস থেকে স্টক পরীক্ষা করার পদ্ধতি শিখুন                                                                                         |                     [IoT ডিভাইস থেকে স্টক পরীক্ষা করুন](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  ২১   |        [ভোক্তা](./6-consumer/README.md)        |             IoT ডিভাইস দিয়ে বক্তৃতা সনাক্ত করুন             | একটি স্মার্ট টাইমার তৈরি করতে IoT ডিভাইস থেকে বক্তৃতা সনাক্ত করার পদ্ধতি শিখুন                                                                                             |                  [IoT ডিভাইস দিয়ে বক্তৃতা সনাক্ত করুন](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  ২২   |        [ভোক্তা](./6-consumer/README.md)        |                     ভাষা বুঝুন                     | একটি IoT ডিভাইসে বলা বাক্যগুলি বুঝতে শেখার পদ্ধতি                                                                                                           |                        [ভাষা বুঝুন](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  ২৩   |        [ভোক্তা](./6-consumer/README.md)        |           একটি টাইমার সেট করুন এবং কথিত প্রতিক্রিয়া প্রদান করুন           | একটি IoT ডিভাইসে একটি টাইমার সেট করার এবং টাইমার সেট করার সময় এবং এটি শেষ হলে কথিত প্রতিক্রিয়া দেওয়ার পদ্ধতি শিখুন                                                    |                 [একটি টাইমার সেট করুন এবং কথিত প্রতিক্রিয়া প্রদান করুন](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  ২৪   |        [ভোক্তা](./6-consumer/README.md)        |                 একাধিক ভাষা সমর্থন করুন                  | আপনার স্মার্ট টাইমারে বলা ভাষা এবং প্রতিক্রিয়াগুলির জন্য একাধিক ভাষা সমর্থন করার পদ্ধতি শিখুন                                                               |                   [একাধিক ভাষা সমর্থন করুন](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## অফলাইন অ্যাক্সেস
 
-আপনি [Docsify](https://docsify.js.org/#/) ব্যবহার করে এই ডকুমেন্টেশন অফলাইনে চালাতে পারেন। এই রিপোজিটরি ফর্ক করুন, আপনার লোকাল মেশিনে [Docsify ইনস্টল করুন](https://docsify.js.org/#/quickstart), এবং তারপর এই রিপোজিটরির মূল ফোল্ডারে গিয়ে `docsify serve` টাইপ করুন। ওয়েবসাইটটি আপনার লোকালহোস্টে ৩০০০ পোর্টে চালু হবে: `localhost:3000`।
+আপনি [Docsify](https://docsify.js.org/#/) ব্যবহার করে এই ডকুমেন্টেশনটি অফলাইনে চালাতে পারেন। এই রিপোটি ফর্ক করুন, আপনার লোকাল মেশিনে [Docsify ইনস্টল করুন](https://docsify.js.org/#/quickstart), এবং তারপর এই রিপোর মূল ফোল্ডারে `docsify serve` টাইপ করুন। ওয়েবসাইটটি আপনার লোকালহোস্টে ৩০০০ পোর্টে পরিবেশন করা হবে: `localhost:3000`।
 
 ## কুইজ
 
-প্রতিটি অধ্যায়ের উপর আপনার জ্ঞান পরীক্ষা করার জন্য ইন্টারেক্টিভ কুইজ হোস্ট করার জন্য কমিউনিটিকে ধন্যবাদ। আপনি আপনার জ্ঞান [এখানে](https://ff-quizzes.netlify.app/en/) পরীক্ষা করতে পারেন।
+প্রতিটি অধ্যায়ে আপনার জ্ঞান পরীক্ষা করার জন্য ইন্টারেক্টিভ কুইজ হোস্ট করার জন্য কমিউনিটিকে ধন্যবাদ। আপনি আপনার জ্ঞান [এখানে পরীক্ষা করুন](https://ff-quizzes.netlify.app/en/) 
 
-### পিডিএফ
+### PDF
 
-প্রয়োজনে অফলাইন অ্যাক্সেসের জন্য আপনি এই কন্টেন্টের একটি পিডিএফ তৈরি করতে পারেন। এটি করতে, নিশ্চিত করুন যে আপনার [npm ইনস্টল করা আছে](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) এবং এই রিপোজিটরির মূল ফোল্ডারে নিচের কমান্ডগুলো চালান:
+আপনার প্রয়োজন হলে অফলাইন অ্যাক্সেসের জন্য এই বিষয়বস্তুর একটি PDF তৈরি করতে পারেন। এটি করতে, নিশ্চিত করুন যে আপনার [npm ইনস্টল করা আছে](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) এবং এই রিপোর মূল ফোল্ডারে নিম্নলিখিত কমান্ডগুলি চালান:
 
 ```sh
 npm i
 npm run convert
 ```
 
-### স্লাইডস
+### স্লাইড
 
-কিছু পাঠের জন্য [slides](../../slides) ফোল্ডারে স্লাইড ডেক রয়েছে।
+কিছু পাঠের জন্য [slides](../../slides) ফোল্ডারে স্লাইড ডেক রয়েছে।
 
 
 ## অন্যান্য পাঠ্যক্রম
 
-আমাদের টিম অন্যান্য পাঠ্যক্রমও তৈরি করে! দেখুন:
+আমাদের দল অন্যান্য পাঠ্যক্রম তৈরি করে! দেখুন:
 
 ### Azure / Edge / MCP / Agents
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,35 +164,39 @@ npm run convert
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### জেনারেটিভ AI সিরিজ
+
+### Generative AI Series
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![জেনারেটিভ এআই (জাভাস্ক্রিপ্ট)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### মূল শিক্ষা
-[![শিক্ষার্থীদের জন্য মেশিন লার্নিং](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![শিক্ষার্থীদের জন্য ডেটা সায়েন্স](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![শিক্ষার্থীদের জন্য কৃত্রিম বুদ্ধিমত্তা](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![শিক্ষার্থীদের জন্য সাইবার নিরাপত্তা](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![শিক্ষার্থীদের জন্য ওয়েব ডেভেলপমেন্ট](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![শিক্ষার্থীদের জন্য IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![শিক্ষার্থীদের জন্য XR ডেভেলপমেন্ট](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### মূল শিক্ষণ
+[![শিক্ষার্থীদের জন্য মেশিন লার্নিং](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![শিক্ষার্থীদের জন্য ডেটা সায়েন্স](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![শিক্ষার্থীদের জন্য এআই](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![শিক্ষার্থীদের জন্য সাইবার সিকিউরিটি](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![শিক্ষার্থীদের জন্য ওয়েব ডেভেলপমেন্ট](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![শিক্ষার্থীদের জন্য আইওটি](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![শিক্ষার্থীদের জন্য এক্সআর ডেভেলপমেন্ট](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### কোপাইলট সিরিজ  
-[![AI সহযোগী প্রোগ্রামিংয়ের জন্য কোপাইলট](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![C#/.NET এর জন্য কোপাইলট](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![কোপাইলট অ্যাডভেঞ্চার](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### কোপাইলট সিরিজ
+[![কোপাইলট এআই পেয়ারড প্রোগ্রামিং](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![কোপাইলট C#/.NET এর জন্য](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![কোপাইলট অ্যাডভেঞ্চার](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
+
+## চিত্রের স্বীকৃতি
 
-## চিত্রের স্বীকৃতি  
-এই পাঠ্যক্রমে ব্যবহৃত চিত্রগুলোর স্বীকৃতি যেখানে প্রয়োজন, তা [স্বীকৃতি](./attributions.md) অংশে পাওয়া যাবে।  
+এই পাঠ্যক্রমে ব্যবহৃত চিত্রগুলোর স্বীকৃতি যেখানে প্রয়োজন, তা [স্বীকৃতি](./attributions.md) পৃষ্ঠায় পাওয়া যাবে।
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **অস্বীকৃতি**:  
-এই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনুবাদ করা হয়েছে। আমরা যথাসাধ্য সঠিকতার জন্য চেষ্টা করি, তবে অনুগ্রহ করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। নথিটির মূল ভাষায় থাকা আসল সংস্করণকে প্রামাণিক উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদ ব্যবহারের ফলে কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়ী থাকব না।
\ No newline at end of file
+এই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনুবাদ করা হয়েছে। আমরা যথাসাধ্য সঠিক অনুবাদের চেষ্টা করি, তবে দয়া করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। নথিটির মূল ভাষায় থাকা সংস্করণটিকে প্রামাণিক উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদ ব্যবহারের ফলে সৃষ্ট কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়ী নই।
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/br/README.md b/translations/br/README.md
index d5d6ec7a9..5637973bd 100644
--- a/translations/br/README.md
+++ b/translations/br/README.md
@@ -1,137 +1,143 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:07:44+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:35:51+00:00",
   "source_file": "README.md",
   "language_code": "br"
 }
 -->
-[![Licença do GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![Contribuidores do GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![Problemas no GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![Pull Requests no GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Bem-vindos](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![Licença do GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![Contribuidores do GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![Problemas no GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![Pull Requests no GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Bem-vindos](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Observadores no GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Forks no GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Estrelas no GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![Observadores no GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![Forks no GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Estrelas no GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Junte-se à Comunidade Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Junte-se à Comunidade Azure AI Foundry  
 
-Siga estes passos para começar a usar esses recursos:
-1. **Faça um Fork do Repositório**: Clique [![Forks no GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone o Repositório**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Junte-se ao Discord do Azure AI Foundry e conheça especialistas e outros desenvolvedores**](https://discord.com/invite/ByRwuEEgH4)
+Se você tiver dúvidas ou dificuldades ao criar aplicativos de IA, junte-se a outros aprendizes e desenvolvedores experientes para discutir sobre MCP. É uma comunidade acolhedora onde perguntas são bem-vindas e o conhecimento é compartilhado livremente.  
 
-### 🌐 Suporte Multilíngue
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Suporte via GitHub Action (Automatizado e Sempre Atualizado)
+Se você tiver feedback sobre o produto ou encontrar erros durante o desenvolvimento, visite:  
+
+[![Fórum de Desenvolvedores Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
+
+Siga estas etapas para começar a usar esses recursos:  
+1. **Faça um Fork do Repositório**: Clique em [![Forks no GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone o Repositório**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Junte-se ao Discord do Microsoft Foundry e conheça especialistas e outros desenvolvedores**](https://discord.com/invite/ByRwuEEgH4)  
+
+### 🌐 Suporte Multilíngue  
+
+#### Suporte via GitHub Action (Automatizado e Sempre Atualizado)  
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Tcheco](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalês](../ne/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polonês](../pl/README.md) | [Português (Brasil)](./README.md) | [Português (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
+[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Tcheco](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalês](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polonês](../pl/README.md) | [Português (Brasil)](./README.md) | [Português (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)  
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT para Iniciantes - Um Currículo
+# IoT para Iniciantes - Um Currículo  
 
-Os Azure Cloud Advocates da Microsoft têm o prazer de oferecer um currículo de 12 semanas e 24 aulas sobre os fundamentos de IoT. Cada aula inclui questionários antes e depois da aula, instruções escritas para completar a lição, uma solução, uma tarefa e muito mais. Nossa pedagogia baseada em projetos permite que você aprenda enquanto constrói, uma maneira comprovada de fazer novas habilidades "grudarem".
+Os Azure Cloud Advocates da Microsoft têm o prazer de oferecer um currículo de 12 semanas e 24 aulas sobre os fundamentos de IoT. Cada aula inclui questionários antes e depois da aula, instruções escritas para completar a lição, uma solução, uma tarefa e muito mais. Nossa abordagem baseada em projetos permite que você aprenda enquanto constrói, uma maneira comprovada de fixar novas habilidades.  
 
-Os projetos cobrem a jornada dos alimentos da fazenda à mesa. Isso inclui agricultura, logística, manufatura, varejo e consumidor - todas áreas populares da indústria para dispositivos IoT.
+Os projetos cobrem a jornada dos alimentos do campo à mesa. Isso inclui agricultura, logística, manufatura, varejo e consumidor - todas áreas populares para dispositivos IoT.  
 
-![Um mapa do curso mostrando 24 aulas cobrindo introdução, agricultura, transporte, processamento, varejo e culinária](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.br.jpg)
+![Um mapa do curso mostrando 24 aulas cobrindo introdução, agricultura, transporte, processamento, varejo e culinária](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.br.jpg)  
 
-> Sketchnote por [Nitya Narasimhan](https://github.com/nitya). Clique na imagem para uma versão maior.
+> Sketchnote por [Nitya Narasimhan](https://github.com/nitya). Clique na imagem para uma versão maior.  
 
-**Agradecimentos especiais aos nossos autores [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), e à nossa artista de sketchnote [Nitya Narasimhan](https://github.com/nitya).**
+**Agradecimentos especiais aos nossos autores [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), e à nossa artista de sketchnote [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Agradecemos também à nossa equipe de [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) que revisaram e traduziram este currículo - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), e [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Agradecemos também à nossa equipe de [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) que revisaram e traduziram este currículo - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), e [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-Conheça a equipe!
+Conheça a equipe!  
 
-[![Vídeo promocional](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+[![Vídeo promocional](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-**Gif por** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Gif por** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-> 🎥 Clique na imagem acima para assistir a um vídeo sobre o projeto!
+> 🎥 Clique na imagem acima para assistir a um vídeo sobre o projeto!  
 
-> **Professores**, incluímos [algumas sugestões](for-teachers.md) sobre como usar este currículo. Se você quiser criar suas próprias aulas, também incluímos um [modelo de aula](lesson-template/README.md).
+> **Professores**, incluímos [algumas sugestões](for-teachers.md) sobre como usar este currículo. Se você quiser criar suas próprias aulas, também incluímos um [modelo de aula](lesson-template/README.md).  
 
-> **[Estudantes](https://aka.ms/student-page)**, para usar este currículo por conta própria, faça um fork de todo o repositório e complete os exercícios por conta própria, começando com um questionário antes da aula, depois lendo a aula e completando o restante das atividades. Tente criar os projetos compreendendo as lições em vez de copiar o código da solução; no entanto, esse código está disponível nas pastas /solutions em cada aula baseada em projetos. Outra ideia seria formar um grupo de estudo com amigos e passar pelo conteúdo juntos. Para estudos adicionais, recomendamos [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Estudantes](https://aka.ms/student-page)**, para usar este currículo por conta própria, faça um fork do repositório inteiro e complete os exercícios por conta própria, começando com um questionário pré-aula, depois lendo a aula e completando o restante das atividades. Tente criar os projetos compreendendo as lições em vez de copiar o código da solução; no entanto, esse código está disponível nas pastas /solutions em cada aula baseada em projetos. Outra ideia seria formar um grupo de estudo com amigos e passar pelo conteúdo juntos. Para estudos adicionais, recomendamos o [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Para uma visão geral em vídeo deste curso, confira este vídeo:
+Para uma visão geral em vídeo deste curso, confira este vídeo:  
 
-[![Vídeo promocional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Vídeo promocional")
+[![Vídeo promocional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Vídeo promocional")  
 
-> 🎥 Clique na imagem acima para assistir a um vídeo sobre o projeto!
+> 🎥 Clique na imagem acima para assistir a um vídeo sobre o projeto!  
 
-## Pedagogia
+## Pedagogia  
 
-Escolhemos dois princípios pedagógicos ao construir este currículo: garantir que ele seja baseado em projetos e que inclua questionários frequentes. Ao final desta série, os alunos terão construído um sistema de monitoramento e irrigação de plantas, um rastreador de veículos, uma configuração de fábrica inteligente para rastrear e verificar alimentos, e um temporizador de cozinha controlado por voz, além de terem aprendido os fundamentos da Internet das Coisas, incluindo como escrever código para dispositivos, conectar-se à nuvem, analisar telemetria e executar IA na borda.
+Escolhemos dois princípios pedagógicos ao construir este currículo: garantir que ele seja baseado em projetos e que inclua questionários frequentes. Ao final desta série, os estudantes terão construído um sistema de monitoramento e irrigação de plantas, um rastreador de veículos, uma configuração de fábrica inteligente para rastrear e verificar alimentos, e um temporizador de cozinha controlado por voz, além de terem aprendido os fundamentos da Internet das Coisas, incluindo como escrever código para dispositivos, conectar à nuvem, analisar telemetria e executar IA na borda.  
 
-Ao garantir que o conteúdo esteja alinhado com projetos, o processo se torna mais envolvente para os alunos e a retenção dos conceitos será aumentada.
+Ao alinhar o conteúdo com projetos, o processo se torna mais envolvente para os estudantes e a retenção dos conceitos é aumentada.  
 
-Além disso, um questionário de baixa pressão antes de uma aula define a intenção do aluno em aprender um tópico, enquanto um segundo questionário após a aula garante maior retenção. Este currículo foi projetado para ser flexível e divertido e pode ser realizado em sua totalidade ou em partes. Os projetos começam pequenos e se tornam cada vez mais complexos até o final do ciclo de 12 semanas.
+Além disso, um questionário de baixa pressão antes da aula define a intenção do estudante em aprender um tópico, enquanto um segundo questionário após a aula garante maior retenção. Este currículo foi projetado para ser flexível e divertido, podendo ser realizado total ou parcialmente. Os projetos começam pequenos e se tornam progressivamente mais complexos ao final do ciclo de 12 semanas.  
 
-Cada projeto é baseado em hardware real disponível para estudantes e entusiastas. Cada projeto explora o domínio específico do projeto, fornecendo conhecimento de base relevante. Para ser um desenvolvedor bem-sucedido, é útil entender o domínio em que você está resolvendo problemas; fornecer esse conhecimento de base permite que os alunos pensem sobre suas soluções de IoT e aprendizados no contexto do tipo de problema real que podem ser solicitados a resolver como desenvolvedores de IoT. Os alunos aprendem o 'porquê' das soluções que estão construindo e ganham uma apreciação do usuário final.
+Cada projeto é baseado em hardware real disponível para estudantes e entusiastas. Cada projeto explora o domínio específico do projeto, fornecendo conhecimento de base relevante. Para ser um desenvolvedor bem-sucedido, é útil entender o domínio no qual você está resolvendo problemas. Fornecer esse conhecimento de base permite que os estudantes pensem sobre suas soluções de IoT e aprendizados no contexto do tipo de problema do mundo real que podem ser chamados a resolver como desenvolvedores de IoT. Os estudantes aprendem o 'porquê' das soluções que estão construindo e ganham uma apreciação pelo usuário final.  
 
-## Hardware
+## Hardware  
 
-Temos duas opções de hardware IoT para usar nos projetos, dependendo da preferência pessoal, conhecimento ou preferências de linguagem de programação, objetivos de aprendizado e disponibilidade. Também fornecemos uma versão de 'hardware virtual' para aqueles que não têm acesso ao hardware ou desejam aprender mais antes de decidir pela compra. Você pode ler mais e encontrar uma 'lista de compras' na [página de hardware](./hardware.md), incluindo links para comprar kits completos de nossos amigos da Seeed Studio.
+Temos duas opções de hardware IoT para usar nos projetos, dependendo da preferência pessoal, conhecimento ou preferências de linguagem de programação, objetivos de aprendizado e disponibilidade. Também fornecemos uma versão de 'hardware virtual' para aqueles que não têm acesso ao hardware ou que desejam aprender mais antes de decidir pela compra. Você pode ler mais e encontrar uma 'lista de compras' na [página de hardware](./hardware.md), incluindo links para comprar kits completos com nossos amigos da Seeed Studio.  
 
-> 💁 Encontre nosso [Código de Conduta](CODE_OF_CONDUCT.md), [Contribuição](CONTRIBUTING.md), e diretrizes de [Tradução](TRANSLATIONS.md). Agradecemos seu feedback construtivo!
+> 💁 Encontre nosso [Código de Conduta](CODE_OF_CONDUCT.md), [Contribuições](CONTRIBUTING.md) e diretrizes de [Tradução](TRANSLATIONS.md). Agradecemos seu feedback construtivo!  
 
-## Cada aula inclui:
+## Cada aula inclui:  
 
-- sketchnote
-- vídeo suplementar opcional
-- questionário de aquecimento antes da aula
-- aula escrita
-- para aulas baseadas em projetos, guias passo a passo sobre como construir o projeto
-- verificações de conhecimento
-- um desafio
-- leitura suplementar
-- tarefa
-- [questionário pós-aula](https://ff-quizzes.netlify.app/en/)
+- sketchnote  
+- vídeo suplementar opcional  
+- questionário de aquecimento pré-aula  
+- aula escrita  
+- para aulas baseadas em projetos, guias passo a passo sobre como construir o projeto  
+- verificações de conhecimento  
+- um desafio  
+- leitura suplementar  
+- tarefa  
+- [questionário pós-aula](https://ff-quizzes.netlify.app/en/)  
+> **Uma observação sobre os quizzes**: Todos os quizzes estão contidos na pasta quiz-app, totalizando 48 quizzes com três perguntas cada. Eles estão vinculados dentro das lições, mas o aplicativo de quiz pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
 
-> **Uma nota sobre os questionários**: Todos os questionários estão contidos na pasta quiz-app, totalizando 48 questionários com três perguntas cada. Eles estão vinculados dentro das aulas, mas o aplicativo de questionário pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
+## Lições
 
-## Aulas
-
-|       |              Nome do Projeto              |                       Conceitos Ensinados                       | Objetivos de Aprendizagem                                                                                                                                                 |                                                        Aula Vinculada                                                         |
-| :---: | :---------------------------------------: | :-------------------------------------------------------------: | ----------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Introdução](./1-getting-started/README.md) |                     Introdução ao IoT                     | Aprenda os princípios básicos do IoT e os blocos fundamentais das soluções de IoT, como sensores e serviços em nuvem, enquanto configura seu primeiro dispositivo IoT |                      [Introdução ao IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Introdução](./1-getting-started/README.md) |                   Um mergulho mais profundo no IoT                    | Aprenda mais sobre os componentes de um sistema IoT, bem como microcontroladores e computadores de placa única                                                            |                        [Um mergulho mais profundo no IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Introdução](./1-getting-started/README.md) | Interaja com o mundo físico usando sensores e atuadores | Aprenda sobre sensores para coletar dados do mundo físico e atuadores para enviar feedback, enquanto constrói uma luminária noturna                                           | [Interaja com o mundo físico usando sensores e atuadores](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Introdução](./1-getting-started/README.md) |             Conecte seu dispositivo à Internet             | Aprenda como conectar um dispositivo IoT à Internet para enviar e receber mensagens, conectando sua luminária noturna a um broker MQTT                               |               [Conecte seu dispositivo à Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Fazenda](./2-farm/README.md)            |                    Prever o crescimento das plantas                     | Aprenda como prever o crescimento das plantas usando dados de temperatura capturados por um dispositivo IoT                                                                                  |                          [Prever o crescimento das plantas](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Fazenda](./2-farm/README.md)            |                    Detectar umidade do solo                     | Aprenda como detectar a umidade do solo e calibrar um sensor de umidade do solo                                                                                              |                          [Detectar umidade do solo](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Fazenda](./2-farm/README.md)            |                  Irrigação automatizada de plantas                   | Aprenda como automatizar e programar a irrigação usando um relé e MQTT                                                                                                      |                      [Irrigação automatizada de plantas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Fazenda](./2-farm/README.md)            |               Migrar sua planta para a nuvem               | Aprenda sobre a nuvem e serviços de IoT hospedados na nuvem e como conectar sua planta a um deles em vez de um broker MQTT público                                   |               [Migrar sua planta para a nuvem](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Fazenda](./2-farm/README.md)            |         Migrar a lógica do seu aplicativo para a nuvem         | Aprenda como escrever lógica de aplicativo na nuvem que responde a mensagens de IoT                                                                          |         [Migrar a lógica do seu aplicativo para a nuvem](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Fazenda](./2-farm/README.md)            |                   Mantenha sua planta segura                    | Aprenda sobre segurança no IoT e como manter sua planta segura com chaves e certificados                                                                          |                        [Mantenha sua planta segura](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transporte](./3-transport/README.md)       |                      Rastreamento de localização                      | Aprenda sobre rastreamento de localização GPS para dispositivos IoT                                                                                                                   |                           [Rastreamento de localização](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transporte](./3-transport/README.md)       |                     Armazenar dados de localização                     | Aprenda como armazenar dados de IoT para serem visualizados ou analisados posteriormente                                                                                                      |                         [Armazenar dados de localização](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transporte](./3-transport/README.md)       |                   Visualizar dados de localização                   | Aprenda sobre como visualizar dados de localização em um mapa e como os mapas representam o mundo 3D real em duas dimensões                                                            |                     [Visualizar dados de localização](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transporte](./3-transport/README.md)       |                          Geofences                          | Aprenda sobre geofences e como eles podem ser usados para alertar quando veículos na cadeia de suprimentos estão próximos ao destino                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufatura](./4-manufacturing/README.md)   |               Treinar um detector de qualidade de frutas                | Aprenda sobre como treinar um classificador de imagens na nuvem para detectar a qualidade das frutas                                                                                       |                 [Treinar um detector de qualidade de frutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufatura](./4-manufacturing/README.md)   |           Verificar a qualidade das frutas a partir de um dispositivo IoT            | Aprenda sobre como usar seu detector de qualidade de frutas a partir de um dispositivo IoT                                                                                                    |           [Verificar a qualidade das frutas a partir de um dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Manufatura](./4-manufacturing/README.md)   |             Executar seu detector de frutas na borda             | Aprenda sobre como executar seu detector de frutas em um dispositivo IoT na borda                                                                                                |             [Executar seu detector de frutas na borda](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufatura](./4-manufacturing/README.md)   |        Acionar a detecção de qualidade de frutas a partir de um sensor        | Aprenda sobre como acionar a detecção de qualidade de frutas a partir de um sensor                                                                                                        |        [Acionar a detecção de qualidade de frutas a partir de um sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Varejo](./5-retail/README.md)          |                   Treinar um detector de estoque                    | Aprenda como usar a detecção de objetos para treinar um detector de estoque para contar os produtos em uma loja                                                                                |                        [Treinar um detector de estoque](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Varejo](./5-retail/README.md)          |               Verificar estoque a partir de um dispositivo IoT                | Aprenda como verificar o estoque a partir de um dispositivo IoT usando um modelo de detecção de objetos                                                                                         |                     [Verificar estoque a partir de um dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumidor](./6-consumer/README.md)        |             Reconhecer fala com um dispositivo IoT             | Aprenda como reconhecer fala a partir de um dispositivo IoT para construir um temporizador inteligente                                                                                             |                  [Reconhecer fala com um dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consumidor](./6-consumer/README.md)        |                     Compreender linguagem                     | Aprenda como compreender frases faladas para um dispositivo IoT                                                                                                           |                        [Compreender linguagem](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumidor](./6-consumer/README.md)        |           Configurar um temporizador e fornecer feedback falado           | Aprenda como configurar um temporizador em um dispositivo IoT e dar feedback falado sobre quando o temporizador é configurado e quando ele termina                                                    |                 [Configurar um temporizador e fornecer feedback falado](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumidor](./6-consumer/README.md)        |                 Suportar múltiplos idiomas                  | Aprenda como suportar múltiplos idiomas, tanto para serem falados quanto para as respostas do seu temporizador inteligente                                                               |                   [Suportar múltiplos idiomas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Nome do Projeto              |                       Conceitos Ensinados                       | Objetivos de Aprendizagem                                                                                                                                           |                                                        Lição Vinculada                                                         |
+| :---: | :---------------------------------------: | :-------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Introdução](./1-getting-started/README.md) |                     Introdução ao IoT                     | Aprenda os princípios básicos do IoT e os blocos de construção de soluções IoT, como sensores e serviços em nuvem, enquanto configura seu primeiro dispositivo IoT |                      [Introdução ao IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Introdução](./1-getting-started/README.md) |                   Um mergulho mais profundo no IoT                    | Aprenda mais sobre os componentes de um sistema IoT, bem como microcontroladores e computadores de placa única                                                      |                        [Um mergulho mais profundo no IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Introdução](./1-getting-started/README.md) | Interagir com o mundo físico com sensores e atuadores | Aprenda sobre sensores para coletar dados do mundo físico e atuadores para enviar feedback, enquanto constrói uma luz noturna                                      | [Interagir com o mundo físico com sensores e atuadores](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Introdução](./1-getting-started/README.md) |             Conecte seu dispositivo à Internet             | Aprenda como conectar um dispositivo IoT à Internet para enviar e receber mensagens conectando sua luz noturna a um broker MQTT                                    |               [Conecte seu dispositivo à Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Fazenda](./2-farm/README.md)            |                    Prever o crescimento das plantas                     | Aprenda como prever o crescimento das plantas usando dados de temperatura capturados por um dispositivo IoT                                                        |                          [Prever o crescimento das plantas](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Fazenda](./2-farm/README.md)            |                    Detectar umidade do solo                     | Aprenda como detectar a umidade do solo e calibrar um sensor de umidade do solo                                                                                    |                          [Detectar umidade do solo](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Fazenda](./2-farm/README.md)            |                  Irrigação automatizada de plantas                   | Aprenda como automatizar e programar a irrigação usando um relé e MQTT                                                                                            |                      [Irrigação automatizada de plantas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Fazenda](./2-farm/README.md)            |               Migrar sua planta para a nuvem               | Aprenda sobre a nuvem e serviços IoT hospedados na nuvem e como conectar sua planta a um desses serviços em vez de um broker MQTT público                          |               [Migrar sua planta para a nuvem](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Fazenda](./2-farm/README.md)            |         Migrar a lógica do seu aplicativo para a nuvem         | Aprenda como escrever lógica de aplicativo na nuvem que responde a mensagens IoT                                                                                   |         [Migrar a lógica do seu aplicativo para a nuvem](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Fazenda](./2-farm/README.md)            |                   Mantenha sua planta segura                    | Aprenda sobre segurança com IoT e como manter sua planta segura com chaves e certificados                                                                         |                        [Mantenha sua planta segura](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transporte](./3-transport/README.md)       |                      Rastreamento de localização                      | Aprenda sobre rastreamento de localização GPS para dispositivos IoT                                                                                               |                           [Rastreamento de localização](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transporte](./3-transport/README.md)       |                     Armazenar dados de localização                     | Aprenda como armazenar dados IoT para serem visualizados ou analisados posteriormente                                                                             |                         [Armazenar dados de localização](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transporte](./3-transport/README.md)       |                   Visualizar dados de localização                   | Aprenda sobre como visualizar dados de localização em um mapa e como os mapas representam o mundo 3D real em 2 dimensões                                          |                     [Visualizar dados de localização](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transporte](./3-transport/README.md)       |                          Geofences                          | Aprenda sobre geofences e como eles podem ser usados para alertar quando veículos na cadeia de suprimentos estão próximos ao destino                              |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Manufatura](./4-manufacturing/README.md)   |               Treinar um detector de qualidade de frutas                | Aprenda sobre como treinar um classificador de imagens na nuvem para detectar a qualidade das frutas                                                              |                 [Treinar um detector de qualidade de frutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Manufatura](./4-manufacturing/README.md)   |           Verificar a qualidade das frutas a partir de um dispositivo IoT            | Aprenda como usar seu detector de qualidade de frutas a partir de um dispositivo IoT                                                                              |           [Verificar a qualidade das frutas a partir de um dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Manufatura](./4-manufacturing/README.md)   |             Executar seu detector de frutas na borda             | Aprenda como executar seu detector de frutas em um dispositivo IoT na borda                                                                                       |             [Executar seu detector de frutas na borda](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Manufatura](./4-manufacturing/README.md)   |        Acionar a detecção de qualidade de frutas a partir de um sensor        | Aprenda como acionar a detecção de qualidade de frutas a partir de um sensor                                                                                      |        [Acionar a detecção de qualidade de frutas a partir de um sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Varejo](./5-retail/README.md)          |                   Treinar um detector de estoque                    | Aprenda como usar a detecção de objetos para treinar um detector de estoque para contar itens em uma loja                                                         |                        [Treinar um detector de estoque](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Varejo](./5-retail/README.md)          |               Verificar estoque a partir de um dispositivo IoT                | Aprenda como verificar estoque a partir de um dispositivo IoT usando um modelo de detecção de objetos                                                             |                     [Verificar estoque a partir de um dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consumidor](./6-consumer/README.md)        |             Reconhecer fala com um dispositivo IoT             | Aprenda como reconhecer fala a partir de um dispositivo IoT para construir um temporizador inteligente                                                           |                  [Reconhecer fala com um dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Consumidor](./6-consumer/README.md)        |                     Compreender linguagem                     | Aprenda como compreender frases faladas para um dispositivo IoT                                                                                                   |                        [Compreender linguagem](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Consumidor](./6-consumer/README.md)        |           Configurar um temporizador e fornecer feedback falado           | Aprenda como configurar um temporizador em um dispositivo IoT e dar feedback falado sobre quando o temporizador é configurado e quando ele termina                |                 [Configurar um temporizador e fornecer feedback falado](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consumidor](./6-consumer/README.md)        |                 Suportar múltiplos idiomas                  | Aprenda como suportar múltiplos idiomas, tanto para serem falados quanto para as respostas do seu temporizador inteligente                                         |                   [Suportar múltiplos idiomas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Acesso offline
 
-Você pode executar esta documentação offline usando [Docsify](https://docsify.js.org/#/). Faça um fork deste repositório, [instale o Docsify](https://docsify.js.org/#/quickstart) em sua máquina local e, na pasta raiz deste repositório, digite `docsify serve`. O site será servido na porta 3000 do seu localhost: `localhost:3000`.
+Você pode executar esta documentação offline usando [Docsify](https://docsify.js.org/#/). Faça um fork deste repositório, [instale o Docsify](https://docsify.js.org/#/quickstart) em sua máquina local e, na pasta raiz deste repositório, digite `docsify serve`. O site será servido na porta 3000 no seu localhost: `localhost:3000`.
 
 ## Quiz
 
-Obrigado à comunidade por hospedar o quiz interativo que testa seu conhecimento sobre cada um dos capítulos. Você pode testar seu conhecimento [aqui](https://ff-quizzes.netlify.app/en/) 
+Agradecemos à comunidade por hospedar o quiz interativo que testa seu conhecimento sobre cada um dos capítulos. Você pode testar seu conhecimento [aqui](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
@@ -142,53 +148,54 @@ npm i
 npm run convert
 ```
 
-### Apresentações
+### Slides
 
-Há apresentações para algumas das lições na pasta [slides](../../slides).
+Há apresentações de slides para algumas das lições na pasta [slides](../../slides).
 
 ## Outros Currículos
 
 Nossa equipe produz outros currículos! Confira:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agentes
-[![AZD para Iniciantes](https://img.shields.io/badge/AZD%20para%20Iniciantes-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI para Iniciantes](https://img.shields.io/badge/Edge%20AI%20para%20Iniciantes-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP para Iniciantes](https://img.shields.io/badge/MCP%20para%20Iniciantes-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Agentes de IA para Iniciantes](https://img.shields.io/badge/Agentes%20de%20IA%20para%20Iniciantes-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD para Iniciantes](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI para Iniciantes](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP para Iniciantes](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Agentes de IA para Iniciantes](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Série de IA Generativa
-[![IA Generativa para Iniciantes](https://img.shields.io/badge/IA%20Generativa%20para%20Iniciantes-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![IA Generativa (.NET)](https://img.shields.io/badge/IA%20Generativa%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![IA Generativa (Java)](https://img.shields.io/badge/IA%20Generativa%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![IA Generativa (JavaScript)](https://img.shields.io/badge/IA%20Generativa%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa para Iniciantes](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Aprendizado Essencial
-[![ML para Iniciantes](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Ciência de Dados para Iniciantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IA para Iniciantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cibersegurança para Iniciantes](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Desenvolvimento Web para Iniciantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT para Iniciantes](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Desenvolvimento XR para Iniciantes](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML para Iniciantes](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Ciência de Dados para Iniciantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA para Iniciantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cibersegurança para Iniciantes](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Desenvolvimento Web para Iniciantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT para Iniciantes](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Desenvolvimento XR para Iniciantes](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Série Copilot  
-[![Copilot para Programação em Par com IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
-<!-- FIM DA TRADUÇÃO DE OUTROS CURSOS CO-OP -->
+### Série Copilot
+[![Copilot para Programação em Par com IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Atribuições de imagens  
+## Atribuições de imagens
 
-Você pode encontrar todas as atribuições para as imagens usadas neste currículo, quando necessário, em [Atribuições](./attributions.md).
+Você pode encontrar todas as atribuições das imagens usadas neste currículo, quando necessário, em [Atribuições](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Aviso Legal**:  
-Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autoritária. Para informações críticas, recomenda-se a tradução profissional feita por humanos. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
\ No newline at end of file
+Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autoritativa. Para informações críticas, recomenda-se a tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/cs/README.md b/translations/cs/README.md
index 56aeb33e1..4d59c8ae0 100644
--- a/translations/cs/README.md
+++ b/translations/cs/README.md
@@ -1,130 +1,135 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:22:02+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:01:44+00:00",
   "source_file": "README.md",
   "language_code": "cs"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Připojte se ke komunitě Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Připojte se ke komunitě Azure AI Foundry  
 
-Postupujte podle těchto kroků, abyste mohli začít používat tyto zdroje:
-1. **Forkněte repozitář**: Klikněte [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Naklonujte repozitář**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Připojte se na Discord Azure AI Foundry a setkejte se s odborníky a dalšími vývojáři**](https://discord.com/invite/ByRwuEEgH4)
+Pokud narazíte na problém nebo máte otázky ohledně vytváření AI aplikací, připojte se k ostatním studentům a zkušeným vývojářům v diskusích o MCP. Je to podpůrná komunita, kde jsou otázky vítány a znalosti se sdílejí volně.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Podpora více jazyků
+Pokud máte zpětnou vazbu k produktu nebo narazíte na chyby při vytváření, navštivte:  
 
-#### Podporováno prostřednictvím GitHub Action (automatizováno a vždy aktuální)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabština](../ar/README.md) | [Bengálština](../bn/README.md) | [Bulharština](../bg/README.md) | [Barmština (Myanmar)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradiční, Hongkong)](../hk/README.md) | [Čínština (tradiční, Macao)](../mo/README.md) | [Čínština (tradiční, Tchaj-wan)](../tw/README.md) | [Chorvatština](../hr/README.md) | [Čeština](./README.md) | [Dánština](../da/README.md) | [Nizozemština](../nl/README.md) | [Estonština](../et/README.md) | [Finština](../fi/README.md) | [Francouzština](../fr/README.md) | [Němčina](../de/README.md) | [Řečtina](../el/README.md) | [Hebrejština](../he/README.md) | [Hindština](../hi/README.md) | [Maďarština](../hu/README.md) | [Indonéština](../id/README.md) | [Italština](../it/README.md) | [Japonština](../ja/README.md) | [Korejština](../ko/README.md) | [Litevština](../lt/README.md) | [Malajština](../ms/README.md) | [Maráthština](../mr/README.md) | [Nepálština](../ne/README.md) | [Norština](../no/README.md) | [Perština (Farsi)](../fa/README.md) | [Polština](../pl/README.md) | [Portugalština (Brazílie)](../br/README.md) | [Portugalština (Portugalsko)](../pt/README.md) | [Panjábština (Gurmukhi)](../pa/README.md) | [Rumunština](../ro/README.md) | [Ruština](../ru/README.md) | [Srbština (cyrilice)](../sr/README.md) | [Slovenština](../sk/README.md) | [Slovinština](../sl/README.md) | [Španělština](../es/README.md) | [Svahilština](../sw/README.md) | [Švédština](../sv/README.md) | [Tagalog (Filipínština)](../tl/README.md) | [Tamilština](../ta/README.md) | [Thajština](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinština](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamština](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Postupujte podle těchto kroků, abyste mohli začít používat tyto zdroje:  
+1. **Forkněte repozitář**: Klikněte [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Naklonujte repozitář**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Připojte se na Discord Microsoft Foundry a setkejte se s experty a ostatními vývojáři**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT pro začátečníky - kurikulum
+### 🌐 Podpora více jazyků  
 
-Azure Cloud Advocates ve společnosti Microsoft s potěšením nabízejí 12týdenní kurikulum s 24 lekcemi zaměřené na základy IoT. Každá lekce obsahuje kvízy před a po lekci, písemné pokyny k dokončení lekce, řešení, úkoly a další. Náš přístup založený na projektech vám umožní učit se při tvorbě, což je osvědčený způsob, jak si osvojit nové dovednosti.
+#### Podporováno prostřednictvím GitHub Action (automatizované a vždy aktuální)  
 
-Projekty pokrývají cestu potravin od farmy na stůl. To zahrnuje zemědělství, logistiku, výrobu, maloobchod a spotřebitele - všechny oblíbené oblasti průmyslu pro zařízení IoT.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabština](../ar/README.md) | [Bengálština](../bn/README.md) | [Bulharština](../bg/README.md) | [Barmština (Myanmar)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradiční, Hongkong)](../hk/README.md) | [Čínština (tradiční, Macao)](../mo/README.md) | [Čínština (tradiční, Tchaj-wan)](../tw/README.md) | [Chorvatština](../hr/README.md) | [Čeština](./README.md) | [Dánština](../da/README.md) | [Nizozemština](../nl/README.md) | [Estonština](../et/README.md) | [Finština](../fi/README.md) | [Francouzština](../fr/README.md) | [Němčina](../de/README.md) | [Řečtina](../el/README.md) | [Hebrejština](../he/README.md) | [Hindština](../hi/README.md) | [Maďarština](../hu/README.md) | [Indonéština](../id/README.md) | [Italština](../it/README.md) | [Japonština](../ja/README.md) | [Korejština](../ko/README.md) | [Litevština](../lt/README.md) | [Malajština](../ms/README.md) | [Maráthština](../mr/README.md) | [Nepálština](../ne/README.md) | [Nigerijský pidgin](../pcm/README.md) | [Norština](../no/README.md) | [Perština (Farsi)](../fa/README.md) | [Polština](../pl/README.md) | [Portugalština (Brazílie)](../br/README.md) | [Portugalština (Portugalsko)](../pt/README.md) | [Panjábština (Gurmukhi)](../pa/README.md) | [Rumunština](../ro/README.md) | [Ruština](../ru/README.md) | [Srbština (cyrilice)](../sr/README.md) | [Slovenština](../sk/README.md) | [Slovinština](../sl/README.md) | [Španělština](../es/README.md) | [Svahilština](../sw/README.md) | [Švédština](../sv/README.md) | [Tagalog (Filipíny)](../tl/README.md) | [Tamilština](../ta/README.md) | [Thajština](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinština](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamština](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![Mapa kurzu ukazující 24 lekcí pokrývajících úvod, zemědělství, dopravu, zpracování, maloobchod a vaření](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.cs.jpg)
+# IoT pro začátečníky - kurikulum  
 
-> Sketchnote od [Nitya Narasimhan](https://github.com/nitya). Klikněte na obrázek pro větší verzi.
+Azure Cloud Advocates v Microsoftu s potěšením nabízejí 12týdenní kurikulum s 24 lekcemi zaměřenými na základy IoT. Každá lekce obsahuje kvízy před a po lekci, písemné pokyny k dokončení lekce, řešení, úkoly a další. Naše projektově orientovaná pedagogika vám umožní učit se při vytváření, což je osvědčený způsob, jak si osvojit nové dovednosti.  
 
-**Velké díky našim autorům [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) a naší sketchnote umělkyni [Nitya Narasimhan](https://github.com/nitya).**
+Projekty pokrývají cestu potravin od farmy na stůl. To zahrnuje zemědělství, logistiku, výrobu, maloobchod a spotřebitele – všechny oblíbené oblasti průmyslu pro IoT zařízení.  
 
-**Děkujeme také našemu týmu [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), kteří revidovali a překládali toto kurikulum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) a [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![Mapa kurzu zobrazující 24 lekcí pokrývajících úvod, zemědělství, dopravu, zpracování, maloobchod a vaření](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.cs.jpg)  
 
-Seznamte se s týmem!
+> Sketchnote od [Nitya Narasimhan](https://github.com/nitya). Klikněte na obrázek pro větší verzi.  
 
-[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Velké díky našim autorům [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) a naší sketchnote umělkyni [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif vytvořil** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Děkujeme také našemu týmu [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), kteří revidovali a překládali toto kurikulum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) a [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Klikněte na obrázek výše pro video o projektu!
+Seznamte se s týmem!  
 
-> **Učitelé**, [zde najdete několik návrhů](for-teachers.md), jak toto kurikulum využít. Pokud byste chtěli vytvořit vlastní lekce, přidali jsme také [šablonu lekce](lesson-template/README.md).
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Studenti](https://aka.ms/student-page)**, chcete-li toto kurikulum použít samostatně, forkněte celý repozitář a dokončete cvičení sami, začněte kvízem před lekcí, poté si přečtěte lekci a dokončete zbytek aktivit. Snažte se vytvářet projekty pochopením lekcí, místo abyste kopírovali kód řešení; tento kód je však dostupný ve složkách /solutions v každé lekci zaměřené na projekt. Další možností je vytvořit studijní skupinu s přáteli a projít obsah společně. Pro další studium doporučujeme [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+**Gif vytvořil** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-Pro video přehled tohoto kurzu se podívejte na toto video:
+> 🎥 Klikněte na obrázek výše pro video o projektu!  
 
-[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> **Učitelé**, [přidali jsme několik návrhů](for-teachers.md), jak využít toto kurikulum. Pokud byste chtěli vytvořit vlastní lekce, přidali jsme také [šablonu lekce](lesson-template/README.md).  
 
-> 🎥 Klikněte na obrázek výše pro video o projektu!
+> **[Studenti](https://aka.ms/student-page)**, pokud chcete toto kurikulum použít samostatně, forkněte celý repozitář a dokončete cvičení sami, začněte kvízem před lekcí, poté si přečtěte lekci a dokončete zbytek aktivit. Snažte se vytvářet projekty pochopením lekcí, místo abyste kopírovali kód řešení; tento kód je však k dispozici ve složkách /solutions v každé projektově orientované lekci. Dalším nápadem by bylo vytvořit studijní skupinu s přáteli a projít obsah společně. Pro další studium doporučujeme [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-## Pedagogika
+Pro video přehled tohoto kurzu se podívejte na toto video:  
 
-Při tvorbě tohoto kurikula jsme se rozhodli pro dva pedagogické principy: zajistit, aby bylo založeno na projektech, a zahrnout časté kvízy. Na konci této série studenti vytvoří systém monitorování a zavlažování rostlin, sledovač vozidel, chytrou továrnu pro sledování a kontrolu potravin a hlasem ovládaný kuchyňský časovač, a naučí se základy internetu věcí, včetně psaní kódu pro zařízení, připojení ke cloudu, analýzy telemetrie a provozování AI na okraji.
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-Zajištěním toho, že obsah odpovídá projektům, se proces stává pro studenty více poutavým a zvyšuje se retence konceptů.
+> 🎥 Klikněte na obrázek výše pro video o projektu!  
 
-Navíc nízkoprahový kvíz před hodinou nastavuje záměr studenta na učení daného tématu, zatímco druhý kvíz po hodině zajišťuje další retenci. Toto kurikulum bylo navrženo tak, aby bylo flexibilní a zábavné a mohlo být absolvováno celé nebo jen částečně. Projekty začínají malými úkoly a postupně se stávají složitějšími na konci 12týdenního cyklu.
+## Pedagogika  
 
-Každý projekt je založen na reálném hardwaru dostupném studentům a nadšencům. Každý projekt se zaměřuje na konkrétní doménu projektu a poskytuje relevantní základní znalosti. Aby byl vývojář úspěšný, je užitečné rozumět doméně, ve které řeší problémy. Poskytnutí těchto základních znalostí umožňuje studentům přemýšlet o svých IoT řešeních a učení v kontextu reálných problémů, které by mohli jako IoT vývojáři řešit. Studenti se učí "proč" řešení, která vytvářejí, a získávají ocenění od koncového uživatele.
+Při vytváření tohoto kurikula jsme zvolili dva pedagogické principy: zajistit, aby bylo projektově orientované, a zahrnout časté kvízy. Na konci této série studenti vytvoří systém monitorování a zavlažování rostlin, sledovač vozidel, chytrou továrnu pro sledování a kontrolu potravin a hlasem ovládaný kuchyňský časovač, a naučí se základy internetu věcí, včetně psaní kódu pro zařízení, připojení ke cloudu, analýzy telemetrie a provozování AI na okraji.  
 
-## Hardware
+Zajištěním, že obsah odpovídá projektům, je proces pro studenty poutavější a zlepšuje se zapamatování konceptů.  
 
-Pro projekty máme dvě možnosti IoT hardwaru v závislosti na osobních preferencích, znalostech programovacího jazyka nebo preferencích, vzdělávacích cílech a dostupnosti. Poskytli jsme také verzi "virtuálního hardwaru" pro ty, kteří nemají přístup k hardwaru nebo se chtějí nejprve více naučit, než se rozhodnou pro nákup. Více informací a "nákupní seznam" najdete na [stránce o hardwaru](./hardware.md), včetně odkazů na nákup kompletních sad od našich přátel v Seeed Studio.
+Navíc nízkostresový kvíz před hodinou nastaví záměr studenta na učení daného tématu, zatímco druhý kvíz po hodině zajišťuje další zapamatování. Toto kurikulum bylo navrženo tak, aby bylo flexibilní a zábavné, a lze jej absolvovat celé nebo jen jeho část. Projekty začínají malými úkoly a postupně se stávají složitějšími na konci 12týdenního cyklu.  
 
-> 💁 Najděte naše [Pravidla chování](CODE_OF_CONDUCT.md), [Pokyny pro přispívání](CONTRIBUTING.md) a [Pokyny pro překlad](TRANSLATIONS.md). Vaše konstruktivní zpětná vazba je vítána!
+Každý projekt je založen na reálném hardwaru dostupném studentům a nadšencům. Každý projekt se zaměřuje na konkrétní doménu projektu a poskytuje relevantní základní znalosti. Aby byl vývojář úspěšný, je užitečné rozumět doméně, ve které řeší problémy. Poskytnutí těchto základních znalostí umožňuje studentům přemýšlet o svých IoT řešeních a poznatcích v kontextu reálného problému, který by mohli být požádáni řešit jako IoT vývojáři. Studenti se učí „proč“ řešení, která vytvářejí, a získávají ocenění pro koncového uživatele.  
 
-## Každá lekce obsahuje:
+## Hardware  
 
-- sketchnote
-- volitelné doplňkové video
-- kvíz na zahřátí před lekcí
-- písemnou lekci
-- pro lekce zaměřené na projekt, podrobné návody, jak projekt vytvořit
-- kontrolu znalostí
-- výzvu
-- doplňkové čtení
-- úkol
-- [kvíz po lekci](https://ff-quizzes.netlify.app/en/)
+Máme dvě možnosti IoT hardwaru, které lze použít pro projekty, v závislosti na osobních preferencích, znalostech programovacího jazyka nebo preferencích, cílech učení a dostupnosti. Poskytli jsme také verzi „virtuálního hardwaru“ pro ty, kteří nemají přístup k hardwaru nebo se chtějí naučit více, než se rozhodnou pro nákup. Více informací a „nákupní seznam“ najdete na [stránce o hardwaru](./hardware.md), včetně odkazů na nákup kompletních sad od našich přátel v Seeed Studio.  
 
-> **Poznámka ke kvízům**: Všechny kvízy jsou obsaženy ve složce quiz-app, celkem 48 kvízů po třech otázkách. Jsou propojeny v rámci lekcí, ale aplikaci kvízů lze spustit lokálně nebo nasadit na Azure; postupujte podle pokynů ve složce `quiz-app`. Postupně jsou lokalizovány.
+> 💁 Najděte naše [Pravidla chování](CODE_OF_CONDUCT.md), [Pokyny pro přispívání](CONTRIBUTING.md) a [Pokyny pro překlad](TRANSLATIONS.md). Vaše konstruktivní zpětná vazba je vítána!  
+
+## Každá lekce obsahuje:  
+
+- sketchnote  
+- volitelné doplňkové video  
+- kvíz na zahřátí před lekcí  
+- písemnou lekci  
+- u lekcí založených na projektech, podrobné návody, jak projekt vytvořit  
+- kontrolu znalostí  
+- výzvu  
+- doplňkové čtení  
+- úkol  
+- [kvíz po lekci](https://ff-quizzes.netlify.app/en/)  
+> **Poznámka k kvízům**: Všechny kvízy jsou obsaženy ve složce quiz-app, celkem 48 kvízů, každý se třemi otázkami. Jsou propojeny v rámci lekcí, ale aplikaci kvízů lze spustit lokálně nebo nasadit na Azure; postupujte podle pokynů ve složce `quiz-app`. Postupně jsou lokalizovány.
 
 ## Lekce
 
-|       |              Název projektu              |                       Učené koncepty                       | Cíle učení                                                                                                                                                 |                                                        Odkaz na lekci                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Začínáme](./1-getting-started/README.md) |                     Úvod do IoT                     | Naučte se základní principy IoT a základní stavební kameny IoT řešení, jako jsou senzory a cloudové služby, zatímco nastavujete své první IoT zařízení |                      [Úvod do IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Začínáme](./1-getting-started/README.md) |                   Hlubší pohled na IoT                    | Zjistěte více o komponentách IoT systému, stejně jako o mikrokontrolérech a jednodeskových počítačích                                                            |                        [Hlubší pohled na IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Začínáme](./1-getting-started/README.md) | Interakce s fyzickým světem pomocí senzorů a akčních členů | Naučte se o senzorech pro sběr dat z fyzického světa a akčních členech pro zpětnou vazbu, zatímco stavíte noční světlo                                           | [Interakce s fyzickým světem pomocí senzorů a akčních členů](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Začínáme](./1-getting-started/README.md) |             Připojte své zařízení k internetu             | Naučte se, jak připojit IoT zařízení k internetu pro odesílání a přijímání zpráv připojením vašeho nočního světla k MQTT brokeru                               |               [Připojte své zařízení k internetu](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farma](./2-farm/README.md)            |                    Předpověď růstu rostlin                     | Naučte se předpovídat růst rostlin pomocí dat o teplotě zachycených IoT zařízením                                                                                  |                          [Předpověď růstu rostlin](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farma](./2-farm/README.md)            |                    Detekce vlhkosti půdy                     | Naučte se detekovat vlhkost půdy a kalibrovat senzor vlhkosti půdy                                                                                              |                          [Detekce vlhkosti půdy](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farma](./2-farm/README.md)            |                  Automatické zavlažování rostlin                   | Naučte se automatizovat a časovat zavlažování pomocí relé a MQTT                                                                                                      |                      [Automatické zavlažování rostlin](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farma](./2-farm/README.md)            |               Migrace vaší rostliny do cloudu               | Naučte se o cloudu a cloudových IoT službách a jak připojit vaši rostlinu k jedné z nich místo veřejného MQTT brokeru                                   |               [Migrace vaší rostliny do cloudu](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farma](./2-farm/README.md)            |         Migrace aplikační logiky do cloudu         | Naučte se, jak můžete psát aplikační logiku v cloudu, která reaguje na IoT zprávy                                                                          |         [Migrace aplikační logiky do cloudu](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Farma](./2-farm/README.md)            |                   Zabezpečte svou rostlinu                    | Naučte se o bezpečnosti v IoT a jak zabezpečit svou rostlinu pomocí klíčů a certifikátů                                                                          |                        [Zabezpečte svou rostlinu](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Doprava](./3-transport/README.md)       |                      Sledování polohy                      | Naučte se o GPS sledování polohy pro IoT zařízení                                                                                                                   |                           [Sledování polohy](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Doprava](./3-transport/README.md)       |                     Ukládání dat o poloze                     | Naučte se ukládat IoT data pro jejich pozdější vizualizaci nebo analýzu                                                                                                      |                         [Ukládání dat o poloze](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Doprava](./3-transport/README.md)       |                   Vizualizace dat o poloze                   | Naučte se vizualizovat data o poloze na mapě a jak mapy zobrazují skutečný 3D svět ve 2 rozměrech                                                            |                     [Vizualizace dat o poloze](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Doprava](./3-transport/README.md)       |                          Geofencing                          | Naučte se o geofencingu a jak může být použit k upozornění, když se vozidla v dodavatelském řetězci blíží ke svému cíli                                           |                                   [Geofencing](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Výroba](./4-manufacturing/README.md)   |               Trénink detektoru kvality ovoce                | Naučte se trénovat klasifikátor obrázků v cloudu pro detekci kvality ovoce                                                                                       |                 [Trénink detektoru kvality ovoce](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Výroba](./4-manufacturing/README.md)   |           Kontrola kvality ovoce z IoT zařízení            | Naučte se používat detektor kvality ovoce z IoT zařízení                                                                                                    |           [Kontrola kvality ovoce z IoT zařízení](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|       |              Název projektu              |                       Učené koncepty                       | Cíle učení                                                                                                                                                          |                                                        Propojená lekce                                                        |
+| :---: | :--------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Začínáme](./1-getting-started/README.md) |                     Úvod do IoT                     | Naučte se základní principy IoT a základní stavební bloky IoT řešení, jako jsou senzory a cloudové služby, zatímco nastavujete své první IoT zařízení               |                      [Úvod do IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Začínáme](./1-getting-started/README.md) |                   Hlubší pohled na IoT                    | Naučte se více o komponentách IoT systému, stejně jako o mikrokontrolérech a jednodeskových počítačích                                                              |                        [Hlubší pohled na IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Začínáme](./1-getting-started/README.md) | Interakce s fyzickým světem pomocí senzorů a akčních členů | Naučte se o senzorech pro sběr dat z fyzického světa a akčních členech pro zpětnou vazbu, zatímco stavíte noční světlo                                              | [Interakce s fyzickým světem pomocí senzorů a akčních členů](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Začínáme](./1-getting-started/README.md) |             Připojte své zařízení k internetu             | Naučte se, jak připojit IoT zařízení k internetu pro odesílání a přijímání zpráv připojením svého nočního světla k MQTT brokeru                                    |               [Připojte své zařízení k internetu](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farma](./2-farm/README.md)            |                    Předpověď růstu rostlin                     | Naučte se předpovídat růst rostlin pomocí teplotních dat zachycených IoT zařízením                                                                                  |                          [Předpověď růstu rostlin](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farma](./2-farm/README.md)            |                    Detekce vlhkosti půdy                     | Naučte se detekovat vlhkost půdy a kalibrovat senzor vlhkosti půdy                                                                                                  |                          [Detekce vlhkosti půdy](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farma](./2-farm/README.md)            |                  Automatické zalévání rostlin                   | Naučte se automatizovat a načasovat zalévání pomocí relé a MQTT                                                                                                    |                      [Automatické zalévání rostlin](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farma](./2-farm/README.md)            |               Migrace vaší rostliny do cloudu               | Naučte se o cloudu a cloudových IoT službách a jak připojit svou rostlinu k jedné z nich místo veřejného MQTT brokeru                                              |               [Migrace vaší rostliny do cloudu](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farma](./2-farm/README.md)            |         Migrace logiky aplikace do cloudu         | Naučte se, jak můžete psát logiku aplikace v cloudu, která reaguje na IoT zprávy                                                                                   |         [Migrace logiky aplikace do cloudu](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Farma](./2-farm/README.md)            |                   Zabezpečte svou rostlinu                    | Naučte se o zabezpečení IoT a jak udržet svou rostlinu v bezpečí pomocí klíčů a certifikátů                                                                         |                        [Zabezpečte svou rostlinu](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Doprava](./3-transport/README.md)       |                      Sledování polohy                      | Naučte se o sledování polohy GPS pro IoT zařízení                                                                                                                   |                           [Sledování polohy](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Doprava](./3-transport/README.md)       |                     Ukládání dat o poloze                     | Naučte se ukládat IoT data pro jejich pozdější vizualizaci nebo analýzu                                                                                            |                         [Ukládání dat o poloze](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Doprava](./3-transport/README.md)       |                   Vizualizace dat o poloze                   | Naučte se vizualizovat data o poloze na mapě a jak mapy reprezentují skutečný 3D svět ve 2 rozměrech                                                               |                     [Vizualizace dat o poloze](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Doprava](./3-transport/README.md)       |                          Geofencing                          | Naučte se o geofencích a jak je lze použít k upozornění, když se vozidla v dodavatelském řetězci blíží ke svému cíli                                               |                                   [Geofencing](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Výroba](./4-manufacturing/README.md)   |               Trénink detektoru kvality ovoce                | Naučte se trénovat klasifikátor obrázků v cloudu pro detekci kvality ovoce                                                                                          |                 [Trénink detektoru kvality ovoce](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Výroba](./4-manufacturing/README.md)   |           Kontrola kvality ovoce z IoT zařízení            | Naučte se používat detektor kvality ovoce z IoT zařízení                                                                                                            |           [Kontrola kvality ovoce z IoT zařízení](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [Výroba](./4-manufacturing/README.md)   |             Spuštění detektoru ovoce na okraji             | Naučte se spouštět detektor kvality ovoce na IoT zařízení na okraji                                                                                                |             [Spuštění detektoru ovoce na okraji](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Výroba](./4-manufacturing/README.md)   |        Spuštění detekce kvality ovoce ze senzoru        | Naučte se spouštět detekci kvality ovoce ze senzoru                                                                                                        |        [Spuštění detekce kvality ovoce ze senzoru](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Maloobchod](./5-retail/README.md)          |                   Trénink detektoru zásob                    | Naučte se používat detekci objektů k trénování detektoru zásob pro počítání zásob v obchodě                                                                                |                        [Trénink detektoru zásob](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Maloobchod](./5-retail/README.md)          |               Kontrola zásob z IoT zařízení                | Naučte se kontrolovat zásoby z IoT zařízení pomocí modelu detekce objektů                                                                                         |                     [Kontrola zásob z IoT zařízení](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Spotřebitel](./6-consumer/README.md)        |             Rozpoznávání řeči pomocí IoT zařízení             | Naučte se rozpoznávat řeč z IoT zařízení pro vytvoření chytrého časovače                                                                                             |                  [Rozpoznávání řeči pomocí IoT zařízení](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Spotřebitel](./6-consumer/README.md)        |                     Porozumění jazyku                     | Naučte se porozumět větám vysloveným na IoT zařízení                                                                                                           |                        [Porozumění jazyku](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Spotřebitel](./6-consumer/README.md)        |           Nastavení časovače a poskytování mluvené zpětné vazby           | Naučte se nastavit časovač na IoT zařízení a poskytovat mluvenou zpětnou vazbu o tom, kdy je časovač nastaven a kdy skončí                                                    |                 [Nastavení časovače a poskytování mluvené zpětné vazby](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Spotřebitel](./6-consumer/README.md)        |                 Podpora více jazyků                  | Naučte se podporovat více jazyků, jak pro mluvení, tak pro odpovědi vašeho chytrého časovače                                                               |                   [Podpora více jazyků](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  18   |   [Výroba](./4-manufacturing/README.md)   |        Spouštění detekce kvality ovoce ze senzoru        | Naučte se spouštět detekci kvality ovoce ze senzoru                                                                                                                |        [Spouštění detekce kvality ovoce ze senzoru](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Maloobchod](./5-retail/README.md)          |                   Trénink detektoru zásob                    | Naučte se používat detekci objektů k trénování detektoru zásob pro počítání zásob v obchodě                                                                         |                        [Trénink detektoru zásob](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Maloobchod](./5-retail/README.md)          |               Kontrola zásob z IoT zařízení                | Naučte se kontrolovat zásoby z IoT zařízení pomocí modelu detekce objektů                                                                                           |                     [Kontrola zásob z IoT zařízení](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Spotřebitel](./6-consumer/README.md)        |             Rozpoznávání řeči pomocí IoT zařízení             | Naučte se rozpoznávat řeč z IoT zařízení pro vytvoření chytrého časovače                                                                                           |                  [Rozpoznávání řeči pomocí IoT zařízení](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Spotřebitel](./6-consumer/README.md)        |                     Porozumění jazyku                     | Naučte se porozumět větám mluveným k IoT zařízení                                                                                                                  |                        [Porozumění jazyku](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Spotřebitel](./6-consumer/README.md)        |           Nastavení časovače a poskytování mluvené zpětné vazby           | Naučte se nastavit časovač na IoT zařízení a poskytovat mluvenou zpětnou vazbu o tom, kdy je časovač nastaven a kdy skončí                                         |                 [Nastavení časovače a poskytování mluvené zpětné vazby](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Spotřebitel](./6-consumer/README.md)        |                 Podpora více jazyků                  | Naučte se podporovat více jazyků, jak pro mluvené vstupy, tak pro odpovědi z vašeho chytrého časovače                                                              |                   [Podpora více jazyků](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline přístup
 
@@ -132,11 +137,11 @@ Tuto dokumentaci můžete spustit offline pomocí [Docsify](https://docsify.js.o
 
 ## Kvíz
 
-Děkujeme komunitě za hostování interaktivního kvízu, který testuje vaše znalosti o každé kapitole. Své znalosti můžete otestovat [zde](https://ff-quizzes.netlify.app/en/) 
+Děkujeme komunitě za hostování interaktivního kvízu, který testuje vaše znalosti z každé kapitoly. Své znalosti můžete otestovat [zde](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Pokud potřebujete, můžete si vygenerovat PDF tohoto obsahu pro offline přístup. K tomu se ujistěte, že máte [nainstalovaný npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) a spusťte následující příkazy v kořenové složce tohoto repozitáře:
+Pokud potřebujete, můžete vygenerovat PDF tohoto obsahu pro offline přístup. K tomu se ujistěte, že máte [nainstalovaný npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) a spusťte následující příkazy v kořenové složce tohoto repozitáře:
 
 ```sh
 npm i
@@ -150,7 +155,7 @@ Pro některé lekce jsou k dispozici prezentace ve složce [slides](../../slides
 
 ## Další kurzy
 
-Náš tým vytváří i další kurzy! Podívejte se:
+Náš tým vytváří další kurzy! Podívejte se na:
 
 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
@@ -168,28 +173,31 @@ Náš tým vytváří i další kurzy! Podívejte se:
 [![Generativní AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Základní vzdělávání
-[![ML pro začátečníky](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science pro začátečníky](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI pro začátečníky](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kybernetická bezpečnost pro začátečníky](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Webový vývoj pro začátečníky](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT pro začátečníky](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR vývoj pro začátečníky](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Základní učení
+[![ML pro začátečníky](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science pro začátečníky](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI pro začátečníky](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Kybernetická bezpečnost pro začátečníky](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webový vývoj pro začátečníky](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT pro začátečníky](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR vývoj pro začátečníky](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Série Copilot  
-[![Copilot pro párové programování s AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot pro C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Dobrodružství s Copilotem](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Série Copilot
+[![Copilot pro párové programování s AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot pro C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot dobrodružství](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Přisuzování obrázků  
+## Přisuzování obrázků
 
-Všechna přisuzování obrázků použitých v tomto kurzu, kde je to vyžadováno, najdete v [Přisuzování](./attributions.md).  
+Všechna přisuzování obrázků použitých v tomto kurzu, kde je to vyžadováno, najdete v [Přisuzování](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Prohlášení**:  
-Tento dokument byl přeložen pomocí služby AI pro překlady [Co-op Translator](https://github.com/Azure/co-op-translator). I když se snažíme o přesnost, mějte prosím na paměti, že automatizované překlady mohou obsahovat chyby nebo nepřesnosti. Původní dokument v jeho rodném jazyce by měl být považován za autoritativní zdroj. Pro důležité informace se doporučuje profesionální lidský překlad. Neodpovídáme za žádná nedorozumění nebo nesprávné interpretace vyplývající z použití tohoto překladu.
\ No newline at end of file
+Tento dokument byl přeložen pomocí služby AI pro překlady [Co-op Translator](https://github.com/Azure/co-op-translator). Ačkoliv se snažíme o přesnost, mějte prosím na paměti, že automatizované překlady mohou obsahovat chyby nebo nepřesnosti. Původní dokument v jeho původním jazyce by měl být považován za autoritativní zdroj. Pro důležité informace doporučujeme profesionální lidský překlad. Neodpovídáme za žádná nedorozumění nebo nesprávné interpretace vyplývající z použití tohoto překladu.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/da/README.md b/translations/da/README.md
index c32c2d87b..7eed7142f 100644
--- a/translations/da/README.md
+++ b/translations/da/README.md
@@ -1,52 +1,58 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:13:17+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:45:59+00:00",
   "source_file": "README.md",
   "language_code": "da"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub licens](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub bidragydere](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub problemer](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
 [![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![PRs Velkommen](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub følgere](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub stjerner](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### Bliv en del af Azure AI Foundry Community 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-Følg disse trin for at komme i gang med at bruge ressourcerne:
+Hvis du sidder fast eller har spørgsmål om at bygge AI-applikationer, kan du deltage i diskussioner med andre lærende og erfarne udviklere om MCP. Det er et støttende fællesskab, hvor spørgsmål er velkomne, og viden deles frit.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Hvis du har produktfeedback eller oplever fejl under opbygning, besøg:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+Følg disse trin for at komme i gang med at bruge disse ressourcer:
 1. **Fork repositoryet**: Klik [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **Klon repositoryet**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Bliv medlem af Azure AI Foundry Discord og mød eksperter og andre udviklere**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Deltag i Microsoft Foundry Discord og mød eksperter og andre udviklere**](https://discord.com/invite/ByRwuEEgH4)
 
-
-### 🌐 Understøttelse af flere sprog
+### 🌐 Flersproget support
 
 #### Understøttet via GitHub Action (Automatisk & Altid Opdateret)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (Forenklet)](../zh/README.md) | [Kinesisk (Traditionel, Hong Kong)](../hk/README.md) | [Kinesisk (Traditionel, Macau)](../mo/README.md) | [Kinesisk (Traditionel, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tjekkisk](../cs/README.md) | [Dansk](./README.md) | [Hollandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Græsk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalesisk](../ne/README.md) | [Norsk](../no/README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasilien)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumænsk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (Kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md)
+[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (Forenklet)](../zh/README.md) | [Kinesisk (Traditionel, Hong Kong)](../hk/README.md) | [Kinesisk (Traditionel, Macau)](../mo/README.md) | [Kinesisk (Traditionel, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tjekkisk](../cs/README.md) | [Dansk](./README.md) | [Hollandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Græsk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalesisk](../ne/README.md) | [Nigeriansk Pidgin](../pcm/README.md) | [Norsk](../no/README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasilien)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumænsk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (Kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT for Begyndere - Et Curriculum
 
-Azure Cloud Advocates hos Microsoft er glade for at tilbyde et 12-ugers, 24-lektioners curriculum om IoT-grundlæggende. Hver lektion inkluderer quizzer før og efter lektionen, skriftlige instruktioner til at gennemføre lektionen, en løsning, en opgave og mere. Vores projektbaserede pædagogik giver dig mulighed for at lære, mens du bygger, en dokumenteret metode til at få nye færdigheder til at hænge fast.
+Azure Cloud Advocates hos Microsoft er glade for at tilbyde et 12-ugers, 24-lektioners curriculum om IoT-grundlæggende. Hver lektion inkluderer quizzer før og efter lektionen, skriftlige instruktioner til at gennemføre lektionen, en løsning, en opgave og mere. Vores projektbaserede tilgang giver dig mulighed for at lære, mens du bygger, en dokumenteret metode til at få nye færdigheder til at hænge fast.
 
-Projekterne dækker rejsen for mad fra gård til bord. Dette inkluderer landbrug, logistik, fremstilling, detailhandel og forbruger - alle populære industrisektorer for IoT-enheder.
+Projekterne dækker rejsen for mad fra gård til bord. Dette inkluderer landbrug, logistik, produktion, detailhandel og forbruger - alle populære industrier for IoT-enheder.
 
-![En kursusoversigt med 24 lektioner, der dækker introduktion, landbrug, transport, forarbejdning, detailhandel og madlavning](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.da.jpg)
+![Et kursusoversigt med 24 lektioner, der dækker intro, landbrug, transport, forarbejdning, detailhandel og madlavning](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.da.jpg)
 
 > Sketchnote af [Nitya Narasimhan](https://github.com/nitya). Klik på billedet for en større version.
 
 **Stor tak til vores forfattere [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), og vores sketchnote-kunstner [Nitya Narasimhan](https://github.com/nitya).**
 
-**Tak også til vores team af [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), som har gennemgået og oversat dette curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), og [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Tak også til vores team af [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), der har gennemgået og oversat dette curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), og [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
 Mød teamet!
 
@@ -68,25 +74,25 @@ For en videooversigt over dette kursus, se denne video:
 
 ## Pædagogik
 
-Vi har valgt to pædagogiske principper, mens vi byggede dette curriculum: at sikre, at det er projektbaseret, og at det inkluderer hyppige quizzer. Ved slutningen af denne serie vil studerende have bygget et planteovervågnings- og vandingssystem, en køretøjstracker, et smart fabrikssystem til at spore og kontrollere mad og en stemmestyret madlavningstimer, og vil have lært grundlæggende om Internet of Things, herunder hvordan man skriver enhedskode, forbinder til skyen, analyserer telemetri og kører AI på kanten.
+Vi har valgt to pædagogiske principper, mens vi byggede dette curriculum: at sikre, at det er projektbaseret, og at det inkluderer hyppige quizzer. Ved slutningen af denne serie vil studerende have bygget et planteovervågnings- og vandingssystem, en køretøjstracker, et smart fabrikssystem til at spore og kontrollere mad og en stemmestyret madlavningstimer, og vil have lært det grundlæggende om Internet of Things, herunder hvordan man skriver enhedskode, forbinder til skyen, analyserer telemetri og kører AI på kanten.
 
 Ved at sikre, at indholdet er knyttet til projekter, bliver processen mere engagerende for studerende, og fastholdelsen af begreber vil blive forbedret.
 
 Derudover sætter en lav-stress quiz før en klasse intentionen hos den studerende mod at lære et emne, mens en anden quiz efter klassen sikrer yderligere fastholdelse. Dette curriculum er designet til at være fleksibelt og sjovt og kan tages i sin helhed eller delvist. Projekterne starter små og bliver gradvist mere komplekse ved slutningen af den 12-ugers cyklus.
 
-Hvert projekt er baseret på hardware fra den virkelige verden, som er tilgængelig for studerende og hobbyister. Hvert projekt undersøger det specifikke projektområde og giver relevant baggrundsviden. For at være en succesfuld udvikler hjælper det at forstå det område, hvor du løser problemer, og ved at give denne baggrundsviden kan studerende tænke på deres IoT-løsninger og læring i konteksten af den slags virkelige problemer, de kunne blive bedt om at løse som IoT-udviklere. Studerende lærer 'hvorfor' bag de løsninger, de bygger, og får en forståelse for slutbrugeren.
+Hvert projekt er baseret på hardware fra den virkelige verden, som er tilgængelig for studerende og hobbyister. Hvert projekt undersøger det specifikke projektområde og giver relevant baggrundsviden. For at være en succesfuld udvikler hjælper det at forstå det område, hvor du løser problemer. Ved at give denne baggrundsviden kan studerende tænke på deres IoT-løsninger og læring i konteksten af den slags virkelige problemer, de kunne blive bedt om at løse som IoT-udviklere. Studerende lærer 'hvorfor' bag de løsninger, de bygger, og får en forståelse for slutbrugeren.
 
 ## Hardware
 
-Vi har to valg af IoT-hardware til brug for projekterne afhængigt af personlige præferencer, programmeringssprogkundskaber eller præferencer, læringsmål og tilgængelighed. Vi har også leveret en 'virtuel hardware'-version for dem, der ikke har adgang til hardware, eller som ønsker at lære mere, før de forpligter sig til et køb. Du kan læse mere og finde en 'indkøbsliste' på [hardware-siden](./hardware.md), inklusive links til at købe komplette kits fra vores venner hos Seeed Studio.
+Vi har to valg af IoT-hardware til brug i projekterne afhængigt af personlig præference, programmeringssprogkundskaber eller præferencer, læringsmål og tilgængelighed. Vi har også leveret en 'virtuel hardware'-version for dem, der ikke har adgang til hardware, eller som ønsker at lære mere, før de beslutter sig for et køb. Du kan læse mere og finde en 'indkøbsliste' på [hardware-siden](./hardware.md), inklusive links til at købe komplette kits fra vores venner hos Seeed Studio.
 
-> 💁 Find vores [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), og [Translation](TRANSLATIONS.md) retningslinjer. Vi modtager gerne din konstruktive feedback!
+> 💁 Find vores [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), og [Translation](TRANSLATIONS.md) retningslinjer. Vi byder din konstruktive feedback velkommen!
 
 ## Hver lektion inkluderer:
 
 - sketchnote
 - valgfri supplerende video
-- quiz til opvarmning før lektionen
+- quiz før lektionen
 - skriftlig lektion
 - for projektbaserede lektioner, trin-for-trin vejledninger om, hvordan man bygger projektet
 - videnstjek
@@ -94,37 +100,36 @@ Vi har to valg af IoT-hardware til brug for projekterne afhængigt af personlige
 - supplerende læsning
 - opgave
 - [quiz efter lektionen](https://ff-quizzes.netlify.app/en/)
-
-> **En note om quizzer**: Alle quizzer er indeholdt i quiz-app-mappen, med i alt 48 quizzer med tre spørgsmål hver. De er linket fra lektionerne, men quiz-appen kan køres lokalt eller implementeres til Azure; følg instruktionen i `quiz-app`-mappen. De bliver gradvist lokaliseret.
+> **En note om quizzer**: Alle quizzer findes i quiz-app-mappen, i alt 48 quizzer med tre spørgsmål hver. De er linket fra lektionerne, men quiz-appen kan køres lokalt eller implementeres på Azure; følg instruktionerne i `quiz-app`-mappen. De bliver gradvist lokaliseret.
 
 ## Lektioner
 
-|       |              Projekt Navn              |                       Koncepter Lært                       | Læringsmål                                                                                                                                                 |                                                        Linket Lektion                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Kom godt i gang](./1-getting-started/README.md) |                     Introduktion til IoT                     | Lær de grundlæggende principper for IoT og de grundlæggende byggesten i IoT-løsninger som sensorer og cloud-tjenester, mens du opsætter din første IoT-enhed |                      [Introduktion til IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Kom godt i gang](./1-getting-started/README.md) |                   En dybere indsigt i IoT                    | Lær mere om komponenterne i et IoT-system, samt mikrocontrollere og single-board computere                                                            |                        [En dybere indsigt i IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Kom godt i gang](./1-getting-started/README.md) | Interagér med den fysiske verden med sensorer og aktuatorer | Lær om sensorer til at indsamle data fra den fysiske verden og aktuatorer til at sende feedback, mens du bygger en natlampe                                           | [Interagér med den fysiske verden med sensorer og aktuatorer](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Kom godt i gang](./1-getting-started/README.md) |             Forbind din enhed til internettet             | Lær hvordan du forbinder en IoT-enhed til internettet for at sende og modtage beskeder ved at forbinde din natlampe til en MQTT-broker                               |               [Forbind din enhed til internettet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Landbrug](./2-farm/README.md)            |                    Forudsig plantevækst                     | Lær hvordan du forudsiger plantevækst ved hjælp af temperaturdata indsamlet af en IoT-enhed                                                                                  |                          [Forudsig plantevækst](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Landbrug](./2-farm/README.md)            |                    Registrér jordfugtighed                     | Lær hvordan du registrerer jordfugtighed og kalibrerer en jordfugtighedssensor                                                                                              |                          [Registrér jordfugtighed](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Landbrug](./2-farm/README.md)            |                  Automatisk plantevanding                   | Lær hvordan du automatiserer og timer vanding ved hjælp af et relæ og MQTT                                                                                                      |                      [Automatisk plantevanding](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Landbrug](./2-farm/README.md)            |               Flyt din plante til skyen               | Lær om skyen og cloud-hostede IoT-tjenester, og hvordan du forbinder din plante til en af disse i stedet for en offentlig MQTT-broker                                   |               [Flyt din plante til skyen](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Landbrug](./2-farm/README.md)            |         Flyt din applikationslogik til skyen         | Lær hvordan du kan skrive applikationslogik i skyen, der reagerer på IoT-beskeder                                                                          |         [Flyt din applikationslogik til skyen](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Landbrug](./2-farm/README.md)            |                   Hold din plante sikker                    | Lær om sikkerhed med IoT og hvordan du holder din plante sikker med nøgler og certifikater                                                                          |                        [Hold din plante sikker](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Lokationssporing                      | Lær om GPS-lokationssporing for IoT-enheder                                                                                                                   |                           [Lokationssporing](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Gem lokationsdata                     | Lær hvordan du gemmer IoT-data til visualisering eller analyse senere                                                                                                      |                         [Gem lokationsdata](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Visualisér lokationsdata                   | Lær om visualisering af lokationsdata på et kort, og hvordan kort repræsenterer den virkelige 3D-verden i 2 dimensioner                                                            |                     [Visualisér lokationsdata](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Lær om geofences, og hvordan de kan bruges til at give besked, når køretøjer i forsyningskæden er tæt på deres destination                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Produktion](./4-manufacturing/README.md)   |               Træn en frugtkvalitetsdetektor                | Lær om at træne en billedklassifikator i skyen til at detektere frugtkvalitet                                                                                       |                 [Træn en frugtkvalitetsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Produktion](./4-manufacturing/README.md)   |           Tjek frugtkvalitet fra en IoT-enhed            | Lær om at bruge din frugtkvalitetsdetektor fra en IoT-enhed                                                                                                    |           [Tjek frugtkvalitet fra en IoT-enhed](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Produktion](./4-manufacturing/README.md)   |             Kør din frugtdetektor på kanten             | Lær om at køre din frugtdetektor på en IoT-enhed på kanten                                                                                                |             [Kør din frugtdetektor på kanten](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Produktion](./4-manufacturing/README.md)   |        Udløs frugtkvalitetsdetektion fra en sensor        | Lær om at udløse frugtkvalitetsdetektion fra en sensor                                                                                                        |        [Udløs frugtkvalitetsdetektion fra en sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Detailhandel](./5-retail/README.md)          |                   Træn en lagerdetektor                    | Lær hvordan du bruger objektdetektion til at træne en lagerdetektor til at tælle lager i en butik                                                                                |                        [Træn en lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Detailhandel](./5-retail/README.md)          |               Tjek lager fra en IoT-enhed                | Lær hvordan du tjekker lager fra en IoT-enhed ved hjælp af en objektdetektionsmodel                                                                                         |                     [Tjek lager fra en IoT-enhed](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Forbruger](./6-consumer/README.md)        |             Genkend tale med en IoT-enhed             | Lær hvordan du genkender tale fra en IoT-enhed for at bygge en smart timer                                                                                             |                  [Genkend tale med en IoT-enhed](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Forbruger](./6-consumer/README.md)        |                     Forstå sprog                     | Lær hvordan du forstår sætninger, der bliver sagt til en IoT-enhed                                                                                                           |                        [Forstå sprog](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Forbruger](./6-consumer/README.md)        |           Sæt en timer og giv mundtlig feedback           | Lær hvordan du sætter en timer på en IoT-enhed og giver mundtlig feedback om, hvornår timeren er sat, og hvornår den slutter                                                    |                 [Sæt en timer og giv mundtlig feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Forbruger](./6-consumer/README.md)        |                 Understøt flere sprog                  | Lær hvordan du understøtter flere sprog, både når der tales til og i svarene fra din smarte timer                                                               |                   [Understøt flere sprog](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Projektnavn              |                       Lærte begreber                       | Læringsmål                                                                                                                                                          |                                                        Linket lektion                                                         |
+| :---: | :-----------------------------------: | :--------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :---------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Kom godt i gang](./1-getting-started/README.md) |                     Introduktion til IoT                   | Lær de grundlæggende principper for IoT og de grundlæggende byggesten i IoT-løsninger som sensorer og cloud-tjenester, mens du opsætter din første IoT-enhed        |                      [Introduktion til IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Kom godt i gang](./1-getting-started/README.md) |                   En dybere indsigt i IoT                  | Lær mere om komponenterne i et IoT-system samt mikrocontrollere og single-board computere                                                                          |                        [En dybere indsigt i IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Kom godt i gang](./1-getting-started/README.md) | Interagér med den fysiske verden med sensorer og aktuatorer | Lær om sensorer til at indsamle data fra den fysiske verden og aktuatorer til at sende feedback, mens du bygger en natlampe                                        | [Interagér med den fysiske verden med sensorer og aktuatorer](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Kom godt i gang](./1-getting-started/README.md) |             Forbind din enhed til internettet              | Lær, hvordan du forbinder en IoT-enhed til internettet for at sende og modtage beskeder ved at forbinde din natlampe til en MQTT-broker                            |               [Forbind din enhed til internettet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Landbrug](./2-farm/README.md)            |                    Forudsig plantevækst                    | Lær, hvordan du forudsiger plantevækst ved hjælp af temperaturdata indsamlet af en IoT-enhed                                                                       |                          [Forudsig plantevækst](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Landbrug](./2-farm/README.md)            |                    Registrér jordfugtighed                 | Lær, hvordan du registrerer jordfugtighed og kalibrerer en jordfugtighedssensor                                                                                    |                          [Registrér jordfugtighed](./2-farm/lessons/2-detect-soil-moisture/README.md)                        |
+|  07   |            [Landbrug](./2-farm/README.md)            |                  Automatiseret plantevanding               | Lær, hvordan du automatiserer og timer vanding ved hjælp af et relæ og MQTT                                                                                       |                      [Automatiseret plantevanding](./2-farm/lessons/3-automated-plant-watering/README.md)                    |
+|  08   |            [Landbrug](./2-farm/README.md)            |               Flyt din plante til skyen                    | Lær om skyen og sky-hostede IoT-tjenester, og hvordan du forbinder din plante til en af disse i stedet for en offentlig MQTT-broker                                |               [Flyt din plante til skyen](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                     |
+|  09   |            [Landbrug](./2-farm/README.md)            |         Flyt din applikationslogik til skyen               | Lær, hvordan du kan skrive applikationslogik i skyen, der reagerer på IoT-beskeder                                                                                |         [Flyt din applikationslogik til skyen](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)               |
+|  10   |            [Landbrug](./2-farm/README.md)            |                   Hold din plante sikker                   | Lær om sikkerhed med IoT, og hvordan du holder din plante sikker med nøgler og certifikater                                                                       |                        [Hold din plante sikker](./2-farm/lessons/6-keep-your-plant-secure/README.md)                        |
+|  11   |       [Transport](./3-transport/README.md)       |                      Lokationssporing                      | Lær om GPS-lokationssporing for IoT-enheder                                                                                                                       |                           [Lokationssporing](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Gem lokationsdata                      | Lær, hvordan du gemmer IoT-data til visualisering eller analyse senere                                                                                            |                         [Gem lokationsdata](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Visualisér lokationsdata                 | Lær om visualisering af lokationsdata på et kort, og hvordan kort repræsenterer den virkelige 3D-verden i 2 dimensioner                                            |                     [Visualisér lokationsdata](./3-transport/lessons/3-visualize-location-data/README.md)                   |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                         | Lær om geofences, og hvordan de kan bruges til at give besked, når køretøjer i forsyningskæden er tæt på deres destination                                         |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Produktion](./4-manufacturing/README.md)   |               Træn en frugtkvalitetsdetektor               | Lær om at træne en billedklassifikator i skyen til at detektere frugtkvalitet                                                                                      |                 [Træn en frugtkvalitetsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Produktion](./4-manufacturing/README.md)   |           Tjek frugtkvalitet fra en IoT-enhed              | Lær om at bruge din frugtkvalitetsdetektor fra en IoT-enhed                                                                                                        |           [Tjek frugtkvalitet fra en IoT-enhed](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)              |
+|  17   |   [Produktion](./4-manufacturing/README.md)   |             Kør din frugtdetektor på kanten                | Lær om at køre din frugtdetektor på en IoT-enhed på kanten                                                                                                        |             [Kør din frugtdetektor på kanten](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)                |
+|  18   |   [Produktion](./4-manufacturing/README.md)   |        Udløs frugtkvalitetsdetektion fra en sensor         | Lær om at udløse frugtkvalitetsdetektion fra en sensor                                                                                                            |        [Udløs frugtkvalitetsdetektion fra en sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)          |
+|  19   |          [Detailhandel](./5-retail/README.md)          |                   Træn en lagerdetektor                    | Lær, hvordan du bruger objektdetektion til at træne en lagerdetektor til at tælle varer i en butik                                                                |                        [Træn en lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Detailhandel](./5-retail/README.md)          |               Tjek lager fra en IoT-enhed                  | Lær, hvordan du tjekker lager fra en IoT-enhed ved hjælp af en objektdetektionsmodel                                                                              |                     [Tjek lager fra en IoT-enhed](./5-retail/lessons/2-check-stock-device/README.md)                        |
+|  21   |        [Forbruger](./6-consumer/README.md)        |             Genkend tale med en IoT-enhed                  | Lær, hvordan du genkender tale fra en IoT-enhed for at bygge en smart timer                                                                                       |                  [Genkend tale med en IoT-enhed](./6-consumer/lessons/1-speech-recognition/README.md)                       |
+|  22   |        [Forbruger](./6-consumer/README.md)        |                     Forstå sprog                           | Lær, hvordan du forstår sætninger talt til en IoT-enhed                                                                                                           |                        [Forstå sprog](./6-consumer/lessons/2-language-understanding/README.md)                              |
+|  23   |        [Forbruger](./6-consumer/README.md)        |           Sæt en timer og giv taletilbagemelding           | Lær, hvordan du sætter en timer på en IoT-enhed og giver taletilbagemelding, når timeren er sat, og når den slutter                                              |                 [Sæt en timer og giv taletilbagemelding](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Forbruger](./6-consumer/README.md)        |                 Understøt flere sprog                      | Lær, hvordan du understøtter flere sprog, både når der tales til og i svarene fra din smarte timer                                                                |                   [Understøt flere sprog](./6-consumer/lessons/4-multiple-language-support/README.md)                       |
 
 ## Offline adgang
 
@@ -145,14 +150,13 @@ npm run convert
 
 ### Slides
 
-Der er slide-decks til nogle af lektionerne i [slides](../../slides)-mappen.
+Der er præsentationer til nogle af lektionerne i [slides](../../slides)-mappen.
 
 
 ## Andre læseplaner
 
 Vores team producerer andre læseplaner! Tjek:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agenter
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -160,30 +164,30 @@ Vores team producerer andre læseplaner! Tjek:
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generativ AI-serie
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generativ AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Grundlæggende læring
-[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
-[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
-[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
-[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
-[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
-[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ML for begyndere](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science for begyndere](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI for begyndere](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersikkerhed for begyndere](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webudvikling for begyndere](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT for begyndere](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR-udvikling for begyndere](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### Copilot-serien
-[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
-[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
-[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+[![Copilot til AI-parprogrammering](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot til C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot-eventyr](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
 ## Billedkrediteringer
@@ -192,5 +196,7 @@ Du kan finde alle krediteringer for de billeder, der er brugt i dette pensum, hv
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Ansvarsfraskrivelse**:  
-Dette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal det bemærkes, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på dets oprindelige sprog bør betragtes som den autoritative kilde. For kritisk information anbefales professionel menneskelig oversættelse. Vi er ikke ansvarlige for eventuelle misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse.
\ No newline at end of file
+Dette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal det bemærkes, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på dets oprindelige sprog bør betragtes som den autoritative kilde. For kritisk information anbefales professionel menneskelig oversættelse. Vi er ikke ansvarlige for misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/de/README.md b/translations/de/README.md
index ee032bf05..28508ddfc 100644
--- a/translations/de/README.md
+++ b/translations/de/README.md
@@ -1,141 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:53:55+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:08:42+00:00",
   "source_file": "README.md",
   "language_code": "de"
 }
 -->
-[![GitHub-Lizenz](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub-Mitwirkende](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub-Issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub-Pull-Requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Willkommen](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub-Lizenz](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub-Mitwirkende](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub-Issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub-Pull-Requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Willkommen](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub-Beobachter](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub-Forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub-Sterne](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub-Beobachter](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub-Forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub-Sterne](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Trete der Azure AI Foundry Community bei
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Trete der Azure AI Foundry Community bei  
 
-Folge diesen Schritten, um mit diesen Ressourcen zu beginnen:
-1. **Forke das Repository**: Klicke [![GitHub-Forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klonen des Repositorys**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Tritt dem Azure AI Foundry Discord bei und tausche dich mit Experten und anderen Entwicklern aus**](https://discord.com/invite/ByRwuEEgH4)
+Wenn du feststeckst oder Fragen zum Erstellen von KI-Anwendungen hast, tritt anderen Lernenden und erfahrenen Entwicklern bei, um über MCP zu diskutieren. Es ist eine unterstützende Community, in der Fragen willkommen sind und Wissen frei geteilt wird.  
 
-### 🌐 Mehrsprachige Unterstützung
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Unterstützt durch GitHub Action (Automatisiert & Immer aktuell)
+Wenn du Produktfeedback geben oder Fehler beim Erstellen melden möchtest, besuche:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabisch](../ar/README.md) | [Bengalisch](../bn/README.md) | [Bulgarisch](../bg/README.md) | [Burmesisch (Myanmar)](../my/README.md) | [Chinesisch (Vereinfacht)](../zh/README.md) | [Chinesisch (Traditionell, Hongkong)](../hk/README.md) | [Chinesisch (Traditionell, Macau)](../mo/README.md) | [Chinesisch (Traditionell, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tschechisch](../cs/README.md) | [Dänisch](../da/README.md) | [Niederländisch](../nl/README.md) | [Estnisch](../et/README.md) | [Finnisch](../fi/README.md) | [Französisch](../fr/README.md) | [Deutsch](./README.md) | [Griechisch](../el/README.md) | [Hebräisch](../he/README.md) | [Hindi](../hi/README.md) | [Ungarisch](../hu/README.md) | [Indonesisch](../id/README.md) | [Italienisch](../it/README.md) | [Japanisch](../ja/README.md) | [Koreanisch](../ko/README.md) | [Litauisch](../lt/README.md) | [Malaiisch](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalesisch](../ne/README.md) | [Norwegisch](../no/README.md) | [Persisch (Farsi)](../fa/README.md) | [Polnisch](../pl/README.md) | [Portugiesisch (Brasilien)](../br/README.md) | [Portugiesisch (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänisch](../ro/README.md) | [Russisch](../ru/README.md) | [Serbisch (Kyrillisch)](../sr/README.md) | [Slowakisch](../sk/README.md) | [Slowenisch](../sl/README.md) | [Spanisch](../es/README.md) | [Swahili](../sw/README.md) | [Schwedisch](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Türkisch](../tr/README.md) | [Ukrainisch](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisch](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT für Anfänger - Ein Lehrplan
+Folge diesen Schritten, um diese Ressourcen zu nutzen:  
+1. **Forke das Repository**: Klicke [![GitHub-Forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klonen des Repositorys**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Tritt dem Microsoft Foundry Discord bei und triff Experten und andere Entwickler**](https://discord.com/invite/ByRwuEEgH4)  
 
-Die Azure Cloud Advocates bei Microsoft freuen sich, einen 12-wöchigen, 24-Lektionen umfassenden Lehrplan zu den Grundlagen des IoT anzubieten. Jede Lektion enthält Quizfragen vor und nach der Lektion, schriftliche Anweisungen zur Durchführung der Lektion, eine Lösung, eine Aufgabe und mehr. Unsere projektbasierte Pädagogik ermöglicht es Ihnen, durch das Bauen zu lernen – eine bewährte Methode, um neue Fähigkeiten nachhaltig zu erlernen.
+### 🌐 Mehrsprachige Unterstützung  
 
-Die Projekte behandeln die Reise von Lebensmitteln vom Bauernhof bis auf den Tisch. Dies umfasst Landwirtschaft, Logistik, Produktion, Einzelhandel und Verbraucher – allesamt beliebte Branchenbereiche für IoT-Geräte.
+#### Unterstützt durch GitHub Action (Automatisiert & Immer aktuell)  
 
-![Eine Roadmap für den Kurs mit 24 Lektionen zu Einführung, Landwirtschaft, Transport, Verarbeitung, Einzelhandel und Kochen](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.de.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabisch](../ar/README.md) | [Bengalisch](../bn/README.md) | [Bulgarisch](../bg/README.md) | [Birmanisch (Myanmar)](../my/README.md) | [Chinesisch (Vereinfacht)](../zh/README.md) | [Chinesisch (Traditionell, Hongkong)](../hk/README.md) | [Chinesisch (Traditionell, Macau)](../mo/README.md) | [Chinesisch (Traditionell, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tschechisch](../cs/README.md) | [Dänisch](../da/README.md) | [Niederländisch](../nl/README.md) | [Estnisch](../et/README.md) | [Finnisch](../fi/README.md) | [Französisch](../fr/README.md) | [Deutsch](./README.md) | [Griechisch](../el/README.md) | [Hebräisch](../he/README.md) | [Hindi](../hi/README.md) | [Ungarisch](../hu/README.md) | [Indonesisch](../id/README.md) | [Italienisch](../it/README.md) | [Japanisch](../ja/README.md) | [Koreanisch](../ko/README.md) | [Litauisch](../lt/README.md) | [Malaiisch](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalesisch](../ne/README.md) | [Nigerianisches Pidgin](../pcm/README.md) | [Norwegisch](../no/README.md) | [Persisch (Farsi)](../fa/README.md) | [Polnisch](../pl/README.md) | [Portugiesisch (Brasilien)](../br/README.md) | [Portugiesisch (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänisch](../ro/README.md) | [Russisch](../ru/README.md) | [Serbisch (Kyrillisch)](../sr/README.md) | [Slowakisch](../sk/README.md) | [Slowenisch](../sl/README.md) | [Spanisch](../es/README.md) | [Swahili](../sw/README.md) | [Schwedisch](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamilisch](../ta/README.md) | [Thailändisch](../th/README.md) | [Türkisch](../tr/README.md) | [Ukrainisch](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisch](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> Sketchnote von [Nitya Narasimhan](https://github.com/nitya). Klicken Sie auf das Bild für eine größere Version.
+# IoT für Anfänger - Ein Lehrplan  
 
-**Herzlichen Dank an unsere Autoren [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) und unsere Sketchnote-Künstlerin [Nitya Narasimhan](https://github.com/nitya).**
+Die Azure Cloud Advocates bei Microsoft freuen sich, einen 12-wöchigen, 24-Lektionen umfassenden Lehrplan zu den Grundlagen des IoT anzubieten. Jede Lektion enthält Quizfragen vor und nach der Lektion, schriftliche Anleitungen zur Durchführung der Lektion, eine Lösung, eine Aufgabe und mehr. Unsere projektbasierte Pädagogik ermöglicht es dir, durch das Bauen zu lernen – eine bewährte Methode, um neue Fähigkeiten nachhaltig zu erlernen.  
 
-**Ebenso danken wir unserem Team von [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), die diesen Lehrplan überprüft und übersetzt haben – [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) und [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Die Projekte decken die Reise von Lebensmitteln vom Bauernhof bis auf den Tisch ab. Dies umfasst Landwirtschaft, Logistik, Produktion, Einzelhandel und Verbraucher – allesamt beliebte Branchenbereiche für IoT-Geräte.  
 
-Lernen Sie das Team kennen!
+![Eine Roadmap für den Kurs mit 24 Lektionen zu Einführung, Landwirtschaft, Transport, Verarbeitung, Einzelhandel und Kochen](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.de.jpg)  
 
-[![Promo-Video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote von [Nitya Narasimhan](https://github.com/nitya). Klicke auf das Bild für eine größere Version.  
 
-**Gif von** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Ein herzliches Dankeschön an unsere Autoren [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) und unsere Sketchnote-Künstlerin [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Klicken Sie auf das Bild oben für ein Video über das Projekt!
+**Vielen Dank auch an unser Team von [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), die diesen Lehrplan überprüft und übersetzt haben – [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) und [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Lehrer**, wir haben [einige Vorschläge](for-teachers.md) hinzugefügt, wie Sie diesen Lehrplan nutzen können. Wenn Sie Ihre eigenen Lektionen erstellen möchten, haben wir auch eine [Lektionsvorlage](lesson-template/README.md) bereitgestellt.
+Lerne das Team kennen!  
 
-> **[Schüler](https://aka.ms/student-page)**, um diesen Lehrplan eigenständig zu nutzen, forken Sie das gesamte Repository und bearbeiten Sie die Übungen selbst, beginnend mit einem Quiz vor der Lektion, dann lesen Sie die Lektion und führen die restlichen Aktivitäten durch. Versuchen Sie, die Projekte zu erstellen, indem Sie die Lektionen verstehen, anstatt den Lösungscode zu kopieren; dieser Code ist jedoch in den /solutions-Ordnern jeder projektorientierten Lektion verfügbar. Eine weitere Idee wäre, eine Lerngruppe mit Freunden zu bilden und die Inhalte gemeinsam durchzugehen. Für weiterführende Studien empfehlen wir [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Promo-Video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Für eine Videoübersicht über diesen Kurs sehen Sie sich dieses Video an:
+**Gif von** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Promo-Video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo-Video")
+> 🎥 Klicke auf das Bild oben für ein Video über das Projekt!  
 
-> 🎥 Klicken Sie auf das Bild oben für ein Video über das Projekt!
+> **Lehrer**, wir haben [einige Vorschläge](for-teachers.md) beigefügt, wie dieser Lehrplan verwendet werden kann. Wenn du eigene Lektionen erstellen möchtest, haben wir auch eine [Lektionsvorlage](lesson-template/README.md) beigefügt.  
 
-## Pädagogik
+> **[Schüler](https://aka.ms/student-page)**, um diesen Lehrplan eigenständig zu nutzen, forke das gesamte Repository und bearbeite die Übungen selbstständig, beginnend mit einem Quiz vor der Lektion, dann lies die Lektion und bearbeite die restlichen Aktivitäten. Versuche, die Projekte zu erstellen, indem du die Lektionen verstehst, anstatt den Lösungscode zu kopieren; dieser Code ist jedoch in den /solutions-Ordnern in jeder projektorientierten Lektion verfügbar. Eine weitere Idee wäre, eine Lerngruppe mit Freunden zu bilden und den Inhalt gemeinsam durchzugehen. Für weiterführende Studien empfehlen wir [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Wir haben zwei pädagogische Grundsätze gewählt, während wir diesen Lehrplan erstellt haben: sicherzustellen, dass er projektbasiert ist und dass er häufige Quizfragen enthält. Am Ende dieser Serie haben die Schüler ein Pflanzenüberwachungs- und Bewässerungssystem, einen Fahrzeugtracker, ein intelligentes Fabriksystem zur Überwachung und Prüfung von Lebensmitteln sowie einen sprachgesteuerten Koch-Timer gebaut und die Grundlagen des Internets der Dinge gelernt, einschließlich der Programmierung von Geräten, der Verbindung mit der Cloud, der Analyse von Telemetrie und der Ausführung von KI am Edge.
+Für eine Videoübersicht über diesen Kurs, sieh dir dieses Video an:  
 
-Indem sichergestellt wird, dass die Inhalte mit Projekten übereinstimmen, wird der Prozess für die Schüler ansprechender gestaltet und die Beibehaltung der Konzepte wird verbessert.
+[![Promo-Video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo-Video")  
 
-Darüber hinaus setzt ein wenig anspruchsvolles Quiz vor einer Klasse die Absicht des Schülers, ein Thema zu lernen, während ein zweites Quiz nach der Klasse die Beibehaltung weiter fördert. Dieser Lehrplan wurde so gestaltet, dass er flexibel und unterhaltsam ist und ganz oder teilweise genutzt werden kann. Die Projekte beginnen klein und werden am Ende des 12-Wochen-Zyklus zunehmend komplexer.
+> 🎥 Klicke auf das Bild oben für ein Video über das Projekt!  
 
-Jedes Projekt basiert auf realer Hardware, die Schülern und Hobbyisten zur Verfügung steht. Jedes Projekt untersucht den spezifischen Projektbereich und bietet relevante Hintergrundinformationen. Um ein erfolgreicher Entwickler zu sein, hilft es, den Bereich zu verstehen, in dem Sie Probleme lösen. Das Bereitstellen dieser Hintergrundinformationen ermöglicht es den Schülern, über ihre IoT-Lösungen und Lerninhalte im Kontext der Art von realen Problemen nachzudenken, die sie als IoT-Entwickler möglicherweise lösen müssen. Die Schüler lernen das "Warum" der Lösungen, die sie entwickeln, und erhalten ein Verständnis für den Endbenutzer.
+## Pädagogik  
 
-## Hardware
+Wir haben zwei pädagogische Grundsätze gewählt, während wir diesen Lehrplan erstellt haben: sicherzustellen, dass er projektbasiert ist und dass er häufige Quizfragen enthält. Am Ende dieser Serie werden die Schüler ein Pflanzenüberwachungs- und Bewässerungssystem, einen Fahrzeugtracker, ein intelligentes Fabriksystem zur Überwachung und Prüfung von Lebensmitteln sowie einen sprachgesteuerten Küchentimer gebaut haben und die Grundlagen des Internets der Dinge gelernt haben, einschließlich des Schreibens von Gerätecode, der Verbindung zur Cloud, der Analyse von Telemetrie und des Ausführens von KI am Edge.  
 
-Wir haben zwei Hardware-Optionen für die Projekte zur Auswahl, je nach persönlicher Vorliebe, Programmierkenntnissen oder -präferenzen, Lernzielen und Verfügbarkeit. Wir haben auch eine Version mit "virtueller Hardware" bereitgestellt für diejenigen, die keinen Zugang zu Hardware haben oder mehr lernen möchten, bevor sie sich für einen Kauf entscheiden. Weitere Informationen und eine "Einkaufsliste" finden Sie auf der [Hardware-Seite](./hardware.md), einschließlich Links zum Kauf kompletter Kits von unseren Freunden bei Seeed Studio.
+Indem sichergestellt wird, dass der Inhalt projektbezogen ist, wird der Prozess für die Schüler ansprechender gestaltet und das Behalten der Konzepte wird gefördert.  
 
-> 💁 Finden Sie unsere [Verhaltensregeln](CODE_OF_CONDUCT.md), [Mitwirkungsrichtlinien](CONTRIBUTING.md) und [Übersetzungsrichtlinien](TRANSLATIONS.md). Wir freuen uns über Ihr konstruktives Feedback!
+Darüber hinaus setzt ein niedrigschwelliges Quiz vor einer Klasse die Absicht des Schülers, ein Thema zu lernen, während ein zweites Quiz nach der Klasse das Behalten weiter fördert. Dieser Lehrplan wurde so gestaltet, dass er flexibel und unterhaltsam ist und ganz oder teilweise absolviert werden kann. Die Projekte beginnen klein und werden bis zum Ende des 12-Wochen-Zyklus zunehmend komplexer.  
 
-## Jede Lektion enthält:
+Jedes Projekt basiert auf realer Hardware, die Schülern und Hobbyisten zur Verfügung steht. Jedes Projekt befasst sich mit dem spezifischen Projektbereich und bietet relevantes Hintergrundwissen. Um ein erfolgreicher Entwickler zu sein, ist es hilfreich, den Bereich zu verstehen, in dem du Probleme löst. Dieses Hintergrundwissen ermöglicht es den Schülern, über ihre IoT-Lösungen und -Lerninhalte im Kontext der Art von realen Problemen nachzudenken, die sie als IoT-Entwickler möglicherweise lösen müssen. Die Schüler lernen das „Warum“ der Lösungen, die sie entwickeln, und erhalten ein Verständnis für den Endbenutzer.  
 
-- Sketchnote
-- optionales ergänzendes Video
-- Quiz zur Vorbereitung auf die Lektion
-- schriftliche Lektion
-- für projektbasierte Lektionen, Schritt-für-Schritt-Anleitungen zum Bau des Projekts
-- Wissensüberprüfungen
-- eine Herausforderung
-- ergänzende Lektüre
-- Aufgabe
-- [Quiz nach der Lektion](https://ff-quizzes.netlify.app/en/)
+## Hardware  
 
-> **Eine Anmerkung zu den Quizfragen**: Alle Quizfragen befinden sich im Ordner quiz-app, insgesamt 48 Quizfragen mit jeweils drei Fragen. Sie sind in den Lektionen verlinkt, aber die Quiz-App kann lokal oder in Azure ausgeführt werden; folgen Sie den Anweisungen im `quiz-app`-Ordner. Sie werden nach und nach lokalisiert.
+Wir haben zwei Optionen für IoT-Hardware, die für die Projekte verwendet werden können, je nach persönlicher Präferenz, Programmierkenntnissen oder -vorlieben, Lernzielen und Verfügbarkeit. Wir haben auch eine Version mit „virtueller Hardware“ bereitgestellt, für diejenigen, die keinen Zugang zu Hardware haben oder mehr lernen möchten, bevor sie sich für einen Kauf entscheiden. Du kannst mehr darüber lesen und eine „Einkaufsliste“ auf der [Hardware-Seite](./hardware.md) finden, einschließlich Links zum Kauf kompletter Kits von unseren Freunden bei Seeed Studio.  
+
+> 💁 Finde unseren [Verhaltenskodex](CODE_OF_CONDUCT.md), [Beitragsrichtlinien](CONTRIBUTING.md) und [Übersetzungsrichtlinien](TRANSLATIONS.md). Wir freuen uns über dein konstruktives Feedback!  
+
+## Jede Lektion enthält:  
+
+- Sketchnote  
+- optionales ergänzendes Video  
+- Quiz zur Vorbereitung auf die Lektion  
+- schriftliche Lektion  
+- für projektbasierte Lektionen, Schritt-für-Schritt-Anleitungen zum Erstellen des Projekts  
+- Wissensüberprüfungen  
+- eine Herausforderung  
+- ergänzende Lektüre  
+- Aufgabe  
+- [Quiz nach der Lektion](https://ff-quizzes.netlify.app/en/)  
+> **Eine Anmerkung zu den Quiz**: Alle Quiz befinden sich im Ordner quiz-app, insgesamt 48 Quiz mit jeweils drei Fragen. Sie sind innerhalb der Lektionen verlinkt, aber die Quiz-App kann lokal ausgeführt oder auf Azure bereitgestellt werden; folgen Sie den Anweisungen im Ordner `quiz-app`. Sie werden nach und nach lokalisiert.
 
 ## Lektionen
 
 |       |              Projektname              |                       Vermittelte Konzepte                       | Lernziele                                                                                                                                                 |                                                        Verlinkte Lektion                                                         |
 | :---: | :------------------------------------: | :-------------------------------------------------------------: | --------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Erste Schritte](./1-getting-started/README.md) |                     Einführung in IoT                     | Lerne die grundlegenden Prinzipien des IoT und die Basisbausteine von IoT-Lösungen wie Sensoren und Cloud-Dienste, während du dein erstes IoT-Gerät einrichtest |                      [Einführung in IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Erste Schritte](./1-getting-started/README.md) |                   Ein tieferer Einblick in IoT                    | Erfahre mehr über die Komponenten eines IoT-Systems sowie über Mikrocontroller und Einplatinencomputer                                                            |                        [Ein tieferer Einblick in IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Erste Schritte](./1-getting-started/README.md) | Interagiere mit der physischen Welt durch Sensoren und Aktoren | Lerne, wie Sensoren Daten aus der physischen Welt erfassen und Aktoren Feedback geben, während du ein Nachtlicht baust                                           | [Interagiere mit der physischen Welt durch Sensoren und Aktoren](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Erste Schritte](./1-getting-started/README.md) |             Verbinde dein Gerät mit dem Internet             | Erfahre, wie du ein IoT-Gerät mit dem Internet verbindest, um Nachrichten zu senden und zu empfangen, indem du dein Nachtlicht mit einem MQTT-Broker verbindest                               |               [Verbinde dein Gerät mit dem Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    Pflanzenwachstum vorhersagen                     | Lerne, wie man das Pflanzenwachstum mithilfe von Temperaturdaten vorhersagt, die von einem IoT-Gerät erfasst werden                                                                                  |                          [Pflanzenwachstum vorhersagen](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farm](./2-farm/README.md)            |                    Bodenfeuchtigkeit erkennen                     | Lerne, wie man Bodenfeuchtigkeit erkennt und einen Bodenfeuchtigkeitssensor kalibriert                                                                                              |                          [Bodenfeuchtigkeit erkennen](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  Automatische Pflanzenbewässerung                   | Lerne, wie man die Bewässerung mithilfe eines Relais und MQTT automatisiert und zeitlich steuert                                                                                                      |                      [Automatische Pflanzenbewässerung](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farm](./2-farm/README.md)            |               Migriere deine Pflanze in die Cloud               | Erfahre mehr über die Cloud und cloudbasierte IoT-Dienste und wie du deine Pflanze mit einem dieser Dienste statt mit einem öffentlichen MQTT-Broker verbinden kannst                                   |               [Migriere deine Pflanze in die Cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farm](./2-farm/README.md)            |         Migriere deine Anwendungslogik in die Cloud         | Erfahre, wie du Anwendungslogik in der Cloud schreiben kannst, die auf IoT-Nachrichten reagiert                                                                          |         [Migriere deine Anwendungslogik in die Cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Farm](./2-farm/README.md)            |                   Halte deine Pflanze sicher                    | Erfahre mehr über Sicherheit im IoT und wie du deine Pflanze mit Schlüsseln und Zertifikaten schützen kannst                                                                          |                        [Halte deine Pflanze sicher](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Standortverfolgung                      | Erfahre mehr über GPS-Standortverfolgung für IoT-Geräte                                                                                                                   |                           [Standortverfolgung](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Standortdaten speichern                     | Lerne, wie man IoT-Daten speichert, um sie später zu visualisieren oder zu analysieren                                                                                                      |                         [Standortdaten speichern](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Standortdaten visualisieren                   | Erfahre mehr über die Visualisierung von Standortdaten auf einer Karte und wie Karten die reale 3D-Welt in 2 Dimensionen darstellen                                                            |                     [Standortdaten visualisieren](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Erfahre mehr über Geofences und wie sie verwendet werden können, um zu alarmieren, wenn Fahrzeuge in der Lieferkette ihrem Ziel nahe kommen                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Fertigung](./4-manufacturing/README.md)   |               Trainiere einen Fruchtqualitätsdetektor                | Erfahre, wie man einen Bildklassifikator in der Cloud trainiert, um die Qualität von Früchten zu erkennen                                                                                       |                 [Trainiere einen Fruchtqualitätsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Fertigung](./4-manufacturing/README.md)   |           Überprüfe die Fruchtqualität mit einem IoT-Gerät            | Erfahre, wie du deinen Fruchtqualitätsdetektor mit einem IoT-Gerät verwenden kannst                                                                                                    |           [Überprüfe die Fruchtqualität mit einem IoT-Gerät](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Fertigung](./4-manufacturing/README.md)   |             Führe deinen Fruchtqualitätsdetektor am Edge aus             | Erfahre, wie du deinen Fruchtqualitätsdetektor auf einem IoT-Gerät am Edge ausführen kannst                                                                                                |             [Führe deinen Fruchtqualitätsdetektor am Edge aus](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Fertigung](./4-manufacturing/README.md)   |        Löse die Fruchtqualitätsprüfung durch einen Sensor aus        | Erfahre, wie du die Fruchtqualitätsprüfung durch einen Sensor auslösen kannst                                                                                                        |        [Löse die Fruchtqualitätsprüfung durch einen Sensor aus](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Einzelhandel](./5-retail/README.md)          |                   Trainiere einen Lagerdetektor                    | Erfahre, wie man Objekterkennung verwendet, um einen Lagerdetektor zu trainieren, der Bestände in einem Geschäft zählt                                                                                |                        [Trainiere einen Lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Einzelhandel](./5-retail/README.md)          |               Überprüfe Bestände mit einem IoT-Gerät                | Erfahre, wie du Bestände mit einem IoT-Gerät und einem Objekterkennungsmodell überprüfen kannst                                                                                         |                     [Überprüfe Bestände mit einem IoT-Gerät](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Verbraucher](./6-consumer/README.md)        |             Erkenne Sprache mit einem IoT-Gerät             | Erfahre, wie du Sprache mit einem IoT-Gerät erkennen kannst, um einen intelligenten Timer zu erstellen                                                                                             |                  [Erkenne Sprache mit einem IoT-Gerät](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Verbraucher](./6-consumer/README.md)        |                     Sprache verstehen                     | Erfahre, wie du gesprochene Sätze mit einem IoT-Gerät verstehen kannst                                                                                                           |                        [Sprache verstehen](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Verbraucher](./6-consumer/README.md)        |           Stelle einen Timer ein und gib gesprochenes Feedback           | Erfahre, wie du einen Timer auf einem IoT-Gerät einstellen und gesprochenes Feedback geben kannst, wann der Timer eingestellt und wann er beendet ist                                                    |                 [Stelle einen Timer ein und gib gesprochenes Feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Verbraucher](./6-consumer/README.md)        |                 Unterstütze mehrere Sprachen                  | Erfahre, wie du mehrere Sprachen unterstützen kannst, sowohl für die Eingabe als auch für die Antworten deines intelligenten Timers                                                               |                   [Unterstütze mehrere Sprachen](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  01   | [Erste Schritte](./1-getting-started/README.md) |                     Einführung in IoT                     | Lernen Sie die grundlegenden Prinzipien des IoT und die grundlegenden Bausteine von IoT-Lösungen wie Sensoren und Cloud-Dienste kennen, während Sie Ihr erstes IoT-Gerät einrichten |                      [Einführung in IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Erste Schritte](./1-getting-started/README.md) |                   Ein tieferer Einblick in IoT                    | Erfahren Sie mehr über die Komponenten eines IoT-Systems sowie über Mikrocontroller und Einplatinencomputer                                                            |                        [Ein tieferer Einblick in IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Erste Schritte](./1-getting-started/README.md) | Interaktion mit der physischen Welt durch Sensoren und Aktoren | Lernen Sie Sensoren kennen, um Daten aus der physischen Welt zu sammeln, und Aktoren, um Rückmeldungen zu geben, während Sie ein Nachtlicht bauen                                           | [Interaktion mit der physischen Welt durch Sensoren und Aktoren](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Erste Schritte](./1-getting-started/README.md) |             Verbinden Sie Ihr Gerät mit dem Internet             | Lernen Sie, wie Sie ein IoT-Gerät mit dem Internet verbinden, um Nachrichten zu senden und zu empfangen, indem Sie Ihr Nachtlicht mit einem MQTT-Broker verbinden                               |               [Verbinden Sie Ihr Gerät mit dem Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farm](./2-farm/README.md)            |                    Pflanzenwachstum vorhersagen                     | Lernen Sie, wie Sie das Pflanzenwachstum mithilfe von Temperaturdaten vorhersagen können, die von einem IoT-Gerät erfasst werden                                                                                  |                          [Pflanzenwachstum vorhersagen](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farm](./2-farm/README.md)            |                    Bodenfeuchtigkeit erkennen                     | Lernen Sie, wie Sie die Bodenfeuchtigkeit erkennen und einen Bodenfeuchtigkeitssensor kalibrieren                                                                                              |                          [Bodenfeuchtigkeit erkennen](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farm](./2-farm/README.md)            |                  Automatisierte Pflanzenbewässerung                   | Lernen Sie, wie Sie die Bewässerung mithilfe eines Relais und MQTT automatisieren und zeitlich steuern können                                                                                                      |                      [Automatisierte Pflanzenbewässerung](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farm](./2-farm/README.md)            |               Migrieren Sie Ihre Pflanze in die Cloud               | Lernen Sie die Cloud und cloudbasierte IoT-Dienste kennen und erfahren Sie, wie Sie Ihre Pflanze mit einem dieser Dienste anstelle eines öffentlichen MQTT-Brokers verbinden können                                   |               [Migrieren Sie Ihre Pflanze in die Cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farm](./2-farm/README.md)            |         Migrieren Sie Ihre Anwendungslogik in die Cloud         | Lernen Sie, wie Sie Anwendungslogik in der Cloud schreiben können, die auf IoT-Nachrichten reagiert                                                                          |         [Migrieren Sie Ihre Anwendungslogik in die Cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Farm](./2-farm/README.md)            |                   Halten Sie Ihre Pflanze sicher                    | Lernen Sie die Sicherheit im IoT kennen und erfahren Sie, wie Sie Ihre Pflanze mit Schlüsseln und Zertifikaten schützen können                                                                          |                        [Halten Sie Ihre Pflanze sicher](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Standortverfolgung                      | Lernen Sie die GPS-Standortverfolgung für IoT-Geräte kennen                                                                                                                   |                           [Standortverfolgung](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Standortdaten speichern                     | Lernen Sie, wie Sie IoT-Daten speichern können, um sie später zu visualisieren oder zu analysieren                                                                                                      |                         [Standortdaten speichern](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Standortdaten visualisieren                   | Lernen Sie, wie Standortdaten auf einer Karte visualisiert werden und wie Karten die reale 3D-Welt in zwei Dimensionen darstellen                                                            |                     [Standortdaten visualisieren](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Lernen Sie Geofences kennen und erfahren Sie, wie sie verwendet werden können, um zu benachrichtigen, wenn Fahrzeuge in der Lieferkette ihrem Ziel nahe kommen                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Fertigung](./4-manufacturing/README.md)   |               Einen Fruchtqualitätsdetektor trainieren                | Lernen Sie, wie Sie einen Bildklassifikator in der Cloud trainieren, um die Fruchtqualität zu erkennen                                                                                       |                 [Einen Fruchtqualitätsdetektor trainieren](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Fertigung](./4-manufacturing/README.md)   |           Fruchtqualität von einem IoT-Gerät überprüfen            | Lernen Sie, wie Sie Ihren Fruchtqualitätsdetektor von einem IoT-Gerät aus verwenden können                                                                                                    |           [Fruchtqualität von einem IoT-Gerät überprüfen](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Fertigung](./4-manufacturing/README.md)   |             Ihren Fruchtqualitätsdetektor am Edge ausführen             | Lernen Sie, wie Sie Ihren Fruchtqualitätsdetektor auf einem IoT-Gerät am Edge ausführen können                                                                                                |             [Ihren Fruchtqualitätsdetektor am Edge ausführen](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Fertigung](./4-manufacturing/README.md)   |        Fruchtqualitätsprüfung durch einen Sensor auslösen        | Lernen Sie, wie Sie die Fruchtqualitätsprüfung durch einen Sensor auslösen können                                                                                                        |        [Fruchtqualitätsprüfung durch einen Sensor auslösen](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Einzelhandel](./5-retail/README.md)          |                   Einen Lagerbestanddetektor trainieren                    | Lernen Sie, wie Sie mithilfe der Objekterkennung einen Lagerbestanddetektor trainieren, um den Bestand in einem Geschäft zu zählen                                                                                |                        [Einen Lagerbestanddetektor trainieren](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Einzelhandel](./5-retail/README.md)          |               Lagerbestand von einem IoT-Gerät überprüfen                | Lernen Sie, wie Sie den Lagerbestand von einem IoT-Gerät aus mithilfe eines Objekterkennungsmodells überprüfen können                                                                                         |                     [Lagerbestand von einem IoT-Gerät überprüfen](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Verbraucher](./6-consumer/README.md)        |             Sprache mit einem IoT-Gerät erkennen             | Lernen Sie, wie Sie Sprache von einem IoT-Gerät erkennen können, um einen intelligenten Timer zu erstellen                                                                                             |                  [Sprache mit einem IoT-Gerät erkennen](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Verbraucher](./6-consumer/README.md)        |                     Sprache verstehen                     | Lernen Sie, wie Sie gesprochene Sätze von einem IoT-Gerät verstehen können                                                                                                           |                        [Sprache verstehen](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Verbraucher](./6-consumer/README.md)        |           Einen Timer einstellen und gesprochene Rückmeldungen geben           | Lernen Sie, wie Sie einen Timer auf einem IoT-Gerät einstellen und gesprochene Rückmeldungen geben können, wann der Timer eingestellt ist und wann er endet                                                    |                 [Einen Timer einstellen und gesprochene Rückmeldungen geben](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Verbraucher](./6-consumer/README.md)        |                 Mehrsprachigkeit unterstützen                  | Lernen Sie, wie Sie mehrere Sprachen unterstützen können, sowohl bei der Eingabe als auch bei den Antworten Ihres intelligenten Timers                                                               |                   [Mehrsprachigkeit unterstützen](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline-Zugriff
 
-Du kannst diese Dokumentation offline mit [Docsify](https://docsify.js.org/#/) ausführen. Forke dieses Repository, [installiere Docsify](https://docsify.js.org/#/quickstart) auf deinem lokalen Rechner und gib dann im Stammverzeichnis dieses Repos `docsify serve` ein. Die Website wird auf Port 3000 auf deinem localhost bereitgestellt: `localhost:3000`.
+Sie können diese Dokumentation offline mit [Docsify](https://docsify.js.org/#/) ausführen. Forken Sie dieses Repository, [installieren Sie Docsify](https://docsify.js.org/#/quickstart) auf Ihrem lokalen Rechner und geben Sie dann im Stammordner dieses Repos `docsify serve` ein. Die Website wird auf Port 3000 auf Ihrem localhost bereitgestellt: `localhost:3000`.
 
 ## Quiz
 
-Vielen Dank an die Community für das Hosting des interaktiven Quiz, das dein Wissen zu jedem Kapitel testet. Du kannst dein Wissen [hier testen](https://ff-quizzes.netlify.app/en/) 
+Vielen Dank an die Community für das Hosting des interaktiven Quiz, das Ihr Wissen zu jedem Kapitel testet. Sie können Ihr Wissen [hier testen](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Du kannst ein PDF dieses Inhalts für den Offline-Zugriff erstellen, falls erforderlich. Stelle sicher, dass du [npm installiert](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) hast und führe die folgenden Befehle im Stammverzeichnis dieses Repos aus:
+Sie können ein PDF dieses Inhalts für den Offline-Zugriff erstellen, falls erforderlich. Stellen Sie sicher, dass Sie [npm installiert haben](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) und führen Sie die folgenden Befehle im Stammordner dieses Repos aus:
 
 ```sh
 npm i
@@ -144,52 +150,53 @@ npm run convert
 
 ### Folien
 
-Es gibt Präsentationsfolien für einige der Lektionen im [slides](../../slides)-Ordner.
+Es gibt Präsentationsfolien für einige der Lektionen im Ordner [slides](../../slides).
 
 
 ## Weitere Lehrpläne
 
-Unser Team erstellt weitere Lehrpläne! Schau dir Folgendes an:
+Unser Team erstellt weitere Lehrpläne! Schauen Sie sich an:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
-[![AZD für Anfänger](https://img.shields.io/badge/AZD%20für%20Anfänger-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
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+[![AZD für Anfänger](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI für Anfänger](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP für Anfänger](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![KI-Agenten für Anfänger](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generative KI-Serie
-[![Generative KI für Anfänger](https://img.shields.io/badge/Generative%20KI%20für%20Anfänger-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generative KI (.NET)](https://img.shields.io/badge/Generative%20KI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generative KI (Java)](https://img.shields.io/badge/Generative%20KI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative KI (JavaScript)](https://img.shields.io/badge/Generative%20KI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generative KI für Anfänger](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative KI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generative KI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Kernlernen
-[![ML für Anfänger](https://img.shields.io/badge/ML%20für%20Anfänger-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science für Anfänger](https://img.shields.io/badge/Data%20Science%20für%20Anfänger-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![KI für Anfänger](https://img.shields.io/badge/KI%20für%20Anfänger-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cybersicherheit für Anfänger](https://img.shields.io/badge/Cybersicherheit%20für%20Anfänger-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Webentwicklung für Anfänger](https://img.shields.io/badge/Webentwicklung%20für%20Anfänger-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT für Anfänger](https://img.shields.io/badge/IoT%20für%20Anfänger-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR-Entwicklung für Anfänger](https://img.shields.io/badge/XR%20Entwicklung%20für%20Anfänger-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML für Anfänger](https://img.shields.io/badge/ML%20für%20Anfänger-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Datenwissenschaft für Anfänger](https://img.shields.io/badge/Datenwissenschaft%20für%20Anfänger-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![KI für Anfänger](https://img.shields.io/badge/KI%20für%20Anfänger-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersicherheit für Anfänger](https://img.shields.io/badge/Cybersicherheit%20für%20Anfänger-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webentwicklung für Anfänger](https://img.shields.io/badge/Webentwicklung%20für%20Anfänger-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT für Anfänger](https://img.shields.io/badge/IoT%20für%20Anfänger-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR-Entwicklung für Anfänger](https://img.shields.io/badge/XR-Entwicklung%20für%20Anfänger-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot-Serie  
-[![Copilot für KI-gestütztes Paarprogrammieren](https://img.shields.io/badge/Copilot%20für%20KI-gestütztes%20Paarprogrammieren-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot für C#/.NET](https://img.shields.io/badge/Copilot%20für%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot Abenteuer](https://img.shields.io/badge/Copilot%20Abenteuer-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot-Serie
+[![Copilot für KI-gestütztes Pair-Programming](https://img.shields.io/badge/Copilot%20für%20KI-gestütztes%20Pair-Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot für C#/.NET](https://img.shields.io/badge/Copilot%20für%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot-Abenteuer](https://img.shields.io/badge/Copilot-Abenteuer-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Bildnachweise  
+## Bildnachweise
 
-Alle Bildnachweise, die in diesem Lehrplan erforderlich sind, finden Sie unter [Bildnachweise](./attributions.md).  
+Alle Bildnachweise, die in diesem Lehrplan erforderlich sind, finden Sie unter [Nachweise](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Haftungsausschluss**:  
-Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache sollte als maßgebliche Quelle betrachtet werden. Für kritische Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die sich aus der Nutzung dieser Übersetzung ergeben.
\ No newline at end of file
+Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache sollte als maßgebliche Quelle betrachtet werden. Für kritische Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die sich aus der Nutzung dieser Übersetzung ergeben.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/el/README.md b/translations/el/README.md
index a906b7002..89185177a 100644
--- a/translations/el/README.md
+++ b/translations/el/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:10:49+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:41:09+00:00",
   "source_file": "README.md",
   "language_code": "el"
 }
@@ -13,35 +13,42 @@ CO_OP_TRANSLATOR_METADATA:
 [![Αιτήματα GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![Παρακολουθήσεις GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![Παρατηρητές GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
 [![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
 [![Αστέρια GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### Γίνετε μέλος της κοινότητας Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+
+Αν κολλήσετε ή έχετε ερωτήσεις σχετικά με την ανάπτυξη εφαρμογών AI, γίνετε μέλος σε συζητήσεις με άλλους μαθητές και έμπειρους προγραμματιστές για το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Αν έχετε σχόλια για το προϊόν ή αντιμετωπίζετε σφάλματα κατά την ανάπτυξη, επισκεφθείτε:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 Ακολουθήστε αυτά τα βήματα για να ξεκινήσετε να χρησιμοποιείτε αυτούς τους πόρους:
 1. **Κάντε Fork το Αποθετήριο**: Πατήστε [![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **Κλωνοποιήστε το Αποθετήριο**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Γίνετε μέλος του Azure AI Foundry Discord και γνωρίστε ειδικούς και άλλους προγραμματιστές**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Γίνετε μέλος στο Microsoft Foundry Discord και γνωρίστε ειδικούς και άλλους προγραμματιστές**](https://discord.com/invite/ByRwuEEgH4)
 
-### 🌐 Υποστήριξη Πολλαπλών Γλωσσών
+### 🌐 Υποστήριξη Πολλών Γλωσσών
 
 #### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένο & Πάντα Ενημερωμένο)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Αραβικά](../ar/README.md) | [Βεγγαλικά](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../hk/README.md) | [Κινέζικα (Παραδοσιακά, Μακάου)](../mo/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../tw/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανικά](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαραθικά](../mr/README.md) | [Νεπαλικά](../ne/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλία)](../br/README.md) | [Πορτογαλικά (Πορτογαλία)](../pt/README.md) | [Παντζάμπι (Γκουρμούκι)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκάλογκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Ταϊλανδικά](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
+[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../hk/README.md) | [Κινέζικα (Παραδοσιακά, Μακάου)](../mo/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../tw/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανικά](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαραθικά](../mr/README.md) | [Νεπαλικά](../ne/README.md) | [Νιγηριανά Pidgin](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλία)](../br/README.md) | [Πορτογαλικά (Πορτογαλία)](../pt/README.md) | [Παντζάμπι (Γκουρμούκι)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Ταϊλανδικά](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT για Αρχάριους - Ένα Εκπαιδευτικό Πρόγραμμα
 
-Οι Azure Cloud Advocates στη Microsoft είναι στην ευχάριστη θέση να προσφέρουν ένα εκπαιδευτικό πρόγραμμα 12 εβδομάδων, με 24 μαθήματα, που αφορά τα βασικά του IoT. Κάθε μάθημα περιλαμβάνει κουίζ πριν και μετά το μάθημα, γραπτές οδηγίες για την ολοκλήρωση του μαθήματος, λύση, εργασία και πολλά άλλα. Η παιδαγωγική μας προσέγγιση βασισμένη σε έργα σας επιτρέπει να μαθαίνετε ενώ δημιουργείτε, ένας αποδεδειγμένος τρόπος για να αποκτήσετε νέες δεξιότητες.
+Οι Azure Cloud Advocates στη Microsoft είναι στην ευχάριστη θέση να προσφέρουν ένα εκπαιδευτικό πρόγραμμα 12 εβδομάδων και 24 μαθημάτων για τις βασικές αρχές του IoT. Κάθε μάθημα περιλαμβάνει κουίζ πριν και μετά το μάθημα, γραπτές οδηγίες για την ολοκλήρωση του μαθήματος, λύση, εργασία και πολλά άλλα. Η παιδαγωγική μας προσέγγιση βασισμένη σε έργα σας επιτρέπει να μαθαίνετε ενώ δημιουργείτε, ένας αποδεδειγμένος τρόπος για να αποκτήσετε νέες δεξιότητες.
 
-Τα έργα καλύπτουν τη διαδρομή του φαγητού από το αγρόκτημα στο τραπέζι. Αυτό περιλαμβάνει γεωργία, logistics, κατασκευή, λιανική και καταναλωτές - όλους τους δημοφιλείς τομείς της βιομηχανίας για συσκευές IoT.
+Τα έργα καλύπτουν τη διαδρομή του φαγητού από το αγρόκτημα στο τραπέζι. Αυτό περιλαμβάνει τη γεωργία, τη μεταφορά, τη μεταποίηση, τη λιανική και τον καταναλωτή - όλους δημοφιλείς τομείς της βιομηχανίας για συσκευές IoT.
 
 ![Ένας χάρτης πορείας για το μάθημα που δείχνει 24 μαθήματα που καλύπτουν εισαγωγή, γεωργία, μεταφορά, επεξεργασία, λιανική και μαγείρεμα](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.el.jpg)
 
-> Σκίτσο από [Nitya Narasimhan](https://github.com/nitya). Πατήστε στην εικόνα για μεγαλύτερη έκδοση.
+> Σκίτσο από τη [Nitya Narasimhan](https://github.com/nitya). Πατήστε στην εικόνα για μεγαλύτερη έκδοση.
 
 **Ευχαριστίες στους συγγραφείς μας [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), και την καλλιτέχνη σκίτσων μας [Nitya Narasimhan](https://github.com/nitya).**
 
@@ -57,7 +64,7 @@ CO_OP_TRANSLATOR_METADATA:
 
 > **Δάσκαλοι**, έχουμε [συμπεριλάβει κάποιες προτάσεις](for-teachers.md) για το πώς να χρησιμοποιήσετε αυτό το εκπαιδευτικό πρόγραμμα. Αν θέλετε να δημιουργήσετε τα δικά σας μαθήματα, έχουμε επίσης συμπεριλάβει ένα [πρότυπο μαθήματος](lesson-template/README.md).
 
-> **[Μαθητές](https://aka.ms/student-page)**, για να χρησιμοποιήσετε αυτό το εκπαιδευτικό πρόγραμμα μόνοι σας, κάντε fork ολόκληρο το αποθετήριο και ολοκληρώστε τις ασκήσεις μόνοι σας, ξεκινώντας με ένα κουίζ πριν το μάθημα, διαβάζοντας το μάθημα και ολοκληρώνοντας τις υπόλοιπες δραστηριότητες. Προσπαθήστε να δημιουργήσετε τα έργα κατανοώντας τα μαθήματα αντί να αντιγράφετε τον κώδικα λύσης. Ωστόσο, αυτός ο κώδικας είναι διαθέσιμος στους φακέλους /solutions σε κάθε μάθημα που βασίζεται σε έργο. Μια άλλη ιδέα θα ήταν να σχηματίσετε μια ομάδα μελέτης με φίλους και να περάσετε το περιεχόμενο μαζί. Για περαιτέρω μελέτη, προτείνουμε [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Μαθητές](https://aka.ms/student-page)**, για να χρησιμοποιήσετε αυτό το εκπαιδευτικό πρόγραμμα μόνοι σας, κάντε fork ολόκληρο το αποθετήριο και ολοκληρώστε τις ασκήσεις μόνοι σας, ξεκινώντας με ένα κουίζ πριν το μάθημα, διαβάζοντας το μάθημα και ολοκληρώνοντας τις υπόλοιπες δραστηριότητες. Προσπαθήστε να δημιουργήσετε τα έργα κατανοώντας τα μαθήματα αντί να αντιγράφετε τον κώδικα λύσης. Ωστόσο, αυτός ο κώδικας είναι διαθέσιμος στους φακέλους /solutions σε κάθε μάθημα που βασίζεται σε έργο. Μια άλλη ιδέα θα ήταν να σχηματίσετε μια ομάδα μελέτης με φίλους και να περάσετε το περιεχόμενο μαζί. Για περαιτέρω μελέτη, προτείνουμε το [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
 Για μια επισκόπηση του μαθήματος, δείτε αυτό το βίντεο:
 
@@ -67,17 +74,17 @@ CO_OP_TRANSLATOR_METADATA:
 
 ## Παιδαγωγική
 
-Επιλέξαμε δύο παιδαγωγικές αρχές κατά τη δημιουργία αυτού του εκπαιδευτικού προγράμματος: να διασφαλίσουμε ότι είναι βασισμένο σε έργα και ότι περιλαμβάνει συχνά κουίζ. Μέχρι το τέλος αυτής της σειράς, οι μαθητές θα έχουν δημιουργήσει ένα σύστημα παρακολούθησης και ποτίσματος φυτών, έναν ιχνηλάτη οχημάτων, μια έξυπνη εγκατάσταση εργοστασίου για παρακολούθηση και έλεγχο τροφίμων, και ένα χρονόμετρο μαγειρέματος με φωνητικό έλεγχο, και θα έχουν μάθει τα βασικά του Internet of Things, συμπεριλαμβανομένου του πώς να γράφουν κώδικα για συσκευές, να συνδέονται στο cloud, να αναλύουν τηλεμετρία και να εκτελούν AI στην άκρη.
+Επιλέξαμε δύο παιδαγωγικές αρχές κατά τη δημιουργία αυτού του εκπαιδευτικού προγράμματος: να διασφαλίσουμε ότι είναι βασισμένο σε έργα και ότι περιλαμβάνει συχνά κουίζ. Μέχρι το τέλος αυτής της σειράς, οι μαθητές θα έχουν δημιουργήσει ένα σύστημα παρακολούθησης και ποτίσματος φυτών, έναν ιχνηλάτη οχημάτων, μια έξυπνη εργοστασιακή εγκατάσταση για παρακολούθηση και έλεγχο τροφίμων, και ένα χρονοδιακόπτη μαγειρέματος με φωνητικό έλεγχο, και θα έχουν μάθει τα βασικά του Internet of Things, συμπεριλαμβανομένου του πώς να γράφουν κώδικα για συσκευές, να συνδέονται στο cloud, να αναλύουν τηλεμετρία και να εκτελούν AI στην άκρη.
 
-Με τη διασφάλιση ότι το περιεχόμενο ευθυγραμμίζεται με έργα, η διαδικασία γίνεται πιο ενδιαφέρουσα για τους μαθητές και η διατήρηση των εννοιών ενισχύεται.
+Με τη διασφάλιση ότι το περιεχόμενο ευθυγραμμίζεται με έργα, η διαδικασία γίνεται πιο ενδιαφέρουσα για τους μαθητές και η απομνημόνευση των εννοιών ενισχύεται.
 
-Επιπλέον, ένα κουίζ χαμηλής πίεσης πριν από το μάθημα θέτει την πρόθεση του μαθητή να μάθει ένα θέμα, ενώ ένα δεύτερο κουίζ μετά το μάθημα διασφαλίζει περαιτέρω διατήρηση. Αυτό το εκπαιδευτικό πρόγραμμα σχεδιάστηκε να είναι ευέλικτο και διασκεδαστικό και μπορεί να ληφθεί ολόκληρο ή εν μέρει. Τα έργα ξεκινούν μικρά και γίνονται όλο και πιο περίπλοκα μέχρι το τέλος του κύκλου των 12 εβδομάδων.
+Επιπλέον, ένα κουίζ χαμηλού κινδύνου πριν από την τάξη θέτει την πρόθεση του μαθητή προς την εκμάθηση ενός θέματος, ενώ ένα δεύτερο κουίζ μετά την τάξη διασφαλίζει περαιτέρω απομνημόνευση. Αυτό το εκπαιδευτικό πρόγραμμα σχεδιάστηκε να είναι ευέλικτο και διασκεδαστικό και μπορεί να ληφθεί ολόκληρο ή εν μέρει. Τα έργα ξεκινούν μικρά και γίνονται όλο και πιο περίπλοκα μέχρι το τέλος του κύκλου των 12 εβδομάδων.
 
-Κάθε έργο βασίζεται σε πραγματικό υλικό που είναι διαθέσιμο σε μαθητές και χομπίστες. Κάθε έργο εξετάζει τον συγκεκριμένο τομέα του έργου, παρέχοντας σχετικές γνώσεις. Για να είναι επιτυχημένος ένας προγραμματιστής, βοηθά να κατανοήσει τον τομέα στον οποίο λύνει προβλήματα. Παρέχοντας αυτές τις γνώσεις, οι μαθητές μπορούν να σκεφτούν τις λύσεις IoT και τις γνώσεις τους στο πλαίσιο του είδους του πραγματικού προβλήματος που μπορεί να τους ζητηθεί να λύσουν ως προγραμματιστές IoT. Οι μαθητές μαθαίνουν το 'γιατί' των λύσεων που δημιουργούν και αποκτούν εκτίμηση για τον τελικό χρήστη.
+Κάθε έργο βασίζεται σε πραγματικό υλικό διαθέσιμο σε μαθητές και χομπίστες. Κάθε έργο εξετάζει τον συγκεκριμένο τομέα του έργου, παρέχοντας σχετικές γνώσεις. Για να είναι επιτυχημένος ένας προγραμματιστής, βοηθά να κατανοήσει τον τομέα στον οποίο λύνει προβλήματα. Παρέχοντας αυτές τις γνώσεις, οι μαθητές μπορούν να σκεφτούν τις λύσεις IoT και τις γνώσεις τους στο πλαίσιο του είδους του πραγματικού προβλήματος που μπορεί να τους ζητηθεί να λύσουν ως προγραμματιστές IoT. Οι μαθητές μαθαίνουν το 'γιατί' των λύσεων που δημιουργούν και αποκτούν εκτίμηση για τον τελικό χρήστη.
 
 ## Υλικό
 
-Έχουμε δύο επιλογές υλικού IoT για χρήση στα έργα, ανάλογα με τις προσωπικές προτιμήσεις, τις γνώσεις ή τις προτιμήσεις προγραμματισμού, τους στόχους μάθησης και τη διαθεσιμότητα. Έχουμε επίσης παρέχει μια έκδοση 'εικονικού υλικού' για όσους δεν έχουν πρόσβαση σε υλικό ή θέλουν να μάθουν περισσότερα πριν δεσμευτούν σε μια αγορά. Μπορείτε να διαβάσετε περισσότερα και να βρείτε μια 'λίστα αγορών' στη [σελίδα υλικού](./hardware.md), συμπεριλαμβανομένων συνδέσμων για να αγοράσετε πλήρη κιτ από τους φίλους μας στο Seeed Studio.
+Έχουμε δύο επιλογές υλικού IoT για χρήση στα έργα, ανάλογα με τις προσωπικές προτιμήσεις, τις γνώσεις ή τις προτιμήσεις προγραμματισμού, τους στόχους εκμάθησης και τη διαθεσιμότητα. Έχουμε επίσης παρέχει μια έκδοση 'εικονικού υλικού' για όσους δεν έχουν πρόσβαση σε υλικό ή θέλουν να μάθουν περισσότερα πριν δεσμευτούν σε μια αγορά. Μπορείτε να διαβάσετε περισσότερα και να βρείτε μια 'λίστα αγορών' στη [σελίδα υλικού](./hardware.md), συμπεριλαμβανομένων συνδέσμων για να αγοράσετε πλήρη κιτ από τους φίλους μας στο Seeed Studio.
 
 > 💁 Βρείτε τον [Κώδικα Συμπεριφοράς](CODE_OF_CONDUCT.md), τις [Οδηγίες Συνεισφοράς](CONTRIBUTING.md), και τις [Οδηγίες Μετάφρασης](TRANSLATIONS.md). Καλωσορίζουμε τα εποικοδομητικά σας σχόλια!
 
@@ -93,41 +100,40 @@ CO_OP_TRANSLATOR_METADATA:
 - συμπληρωματική ανάγνωση
 - εργασία
 - [κουίζ μετά το μάθημα](https://ff-quizzes.netlify.app/en/)
-
-> **Σημείωση για τα κουίζ**: Όλα τα κουίζ περιέχονται στον φάκελο quiz-app, για συνολικά 48 κουίζ των τριών ερωτήσεων το καθένα. Συνδέονται από τα μαθήματα, αλλά η εφαρμογή κουίζ μπορεί να εκτελεστεί τοπικά ή να αναπτυχθεί στο Azure. Ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Μεταφράζονται σταδιακά.
+> **Σημείωση για τα κουίζ**: Όλα τα κουίζ βρίσκονται στον φάκελο quiz-app, συνολικά 48 κουίζ με τρεις ερωτήσεις το καθένα. Συνδέονται μέσα από τα μαθήματα, αλλά η εφαρμογή κουίζ μπορεί να εκτελεστεί τοπικά ή να αναπτυχθεί στο Azure. Ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Γίνονται σταδιακά τοπικοποιήσεις.
 
 ## Μαθήματα
 
 |       |              Όνομα Έργου              |                       Διδασκόμενες Έννοιες                       | Στόχοι Μάθησης                                                                                                                                                 |                                                        Συνδεδεμένο Μάθημα                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+| :---: | :------------------------------------: | :-------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Ξεκινώντας](./1-getting-started/README.md) |                     Εισαγωγή στο IoT                     | Μάθετε τις βασικές αρχές του IoT και τα βασικά δομικά στοιχεία των λύσεων IoT, όπως αισθητήρες και υπηρεσίες cloud, ενώ ρυθμίζετε την πρώτη σας συσκευή IoT |                      [Εισαγωγή στο IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Ξεκινώντας](./1-getting-started/README.md) |                   Βαθύτερη ανάλυση του IoT                    | Μάθετε περισσότερα για τα στοιχεία ενός συστήματος IoT, καθώς και για μικροελεγκτές και υπολογιστές μονού πίνακα                                                            |                        [Βαθύτερη ανάλυση του IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  02   | [Ξεκινώντας](./1-getting-started/README.md) |                   Βαθύτερη ανάλυση του IoT                    | Μάθετε περισσότερα για τα στοιχεία ενός συστήματος IoT, καθώς και για μικροελεγκτές και υπολογιστές μονής πλακέτας                                                            |                        [Βαθύτερη ανάλυση του IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [Ξεκινώντας](./1-getting-started/README.md) | Αλληλεπίδραση με τον φυσικό κόσμο μέσω αισθητήρων και ενεργοποιητών | Μάθετε για τους αισθητήρες που συλλέγουν δεδομένα από τον φυσικό κόσμο και τους ενεργοποιητές που στέλνουν ανατροφοδότηση, ενώ κατασκευάζετε ένα νυχτερινό φως                                           | [Αλληλεπίδραση με τον φυσικό κόσμο μέσω αισθητήρων και ενεργοποιητών](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Ξεκινώντας](./1-getting-started/README.md) |             Συνδέστε τη συσκευή σας στο Διαδίκτυο             | Μάθετε πώς να συνδέσετε μια συσκευή IoT στο Διαδίκτυο για να στέλνετε και να λαμβάνετε μηνύματα, συνδέοντας το νυχτερινό σας φως σε έναν διακομιστή MQTT                               |               [Συνδέστε τη συσκευή σας στο Διαδίκτυο](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  04   | [Ξεκινώντας](./1-getting-started/README.md) |             Συνδέστε τη συσκευή σας στο Διαδίκτυο             | Μάθετε πώς να συνδέσετε μια συσκευή IoT στο Διαδίκτυο για να στέλνετε και να λαμβάνετε μηνύματα, συνδέοντας το νυχτερινό σας φως σε έναν MQTT broker                               |               [Συνδέστε τη συσκευή σας στο Διαδίκτυο](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [Φάρμα](./2-farm/README.md)            |                    Πρόβλεψη ανάπτυξης φυτών                     | Μάθετε πώς να προβλέψετε την ανάπτυξη φυτών χρησιμοποιώντας δεδομένα θερμοκρασίας που συλλέγονται από μια συσκευή IoT                                                                                  |                          [Πρόβλεψη ανάπτυξης φυτών](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [Φάρμα](./2-farm/README.md)            |                    Ανίχνευση υγρασίας εδάφους                     | Μάθετε πώς να ανιχνεύσετε την υγρασία του εδάφους και να βαθμονομήσετε έναν αισθητήρα υγρασίας εδάφους                                                                                              |                          [Ανίχνευση υγρασίας εδάφους](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Φάρμα](./2-farm/README.md)            |                  Αυτοματοποιημένο πότισμα φυτών                   | Μάθετε πώς να αυτοματοποιήσετε και να προγραμματίσετε το πότισμα χρησιμοποιώντας έναν ρελέ και το MQTT                                                                                                      |                      [Αυτοματοποιημένο πότισμα φυτών](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Φάρμα](./2-farm/README.md)            |               Μεταφέρετε το φυτό σας στο cloud               | Μάθετε για το cloud και τις υπηρεσίες IoT που φιλοξενούνται στο cloud και πώς να συνδέσετε το φυτό σας σε μία από αυτές αντί για έναν δημόσιο διακομιστή MQTT                                   |               [Μεταφέρετε το φυτό σας στο cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  07   |            [Φάρμα](./2-farm/README.md)            |                  Αυτοματοποιημένο πότισμα φυτών                   | Μάθετε πώς να αυτοματοποιήσετε και να χρονομετρήσετε το πότισμα χρησιμοποιώντας έναν ρελέ και MQTT                                                                                                      |                      [Αυτοματοποιημένο πότισμα φυτών](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Φάρμα](./2-farm/README.md)            |               Μεταφέρετε το φυτό σας στο cloud               | Μάθετε για το cloud και τις υπηρεσίες IoT που φιλοξενούνται στο cloud και πώς να συνδέσετε το φυτό σας σε μία από αυτές αντί για έναν δημόσιο MQTT broker                                   |               [Μεταφέρετε το φυτό σας στο cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
 |  09   |            [Φάρμα](./2-farm/README.md)            |         Μεταφέρετε τη λογική της εφαρμογής σας στο cloud         | Μάθετε πώς μπορείτε να γράψετε λογική εφαρμογής στο cloud που ανταποκρίνεται σε μηνύματα IoT                                                                          |         [Μεταφέρετε τη λογική της εφαρμογής σας στο cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Φάρμα](./2-farm/README.md)            |                   Διατηρήστε το φυτό σας ασφαλές                    | Μάθετε για την ασφάλεια με το IoT και πώς να διατηρήσετε το φυτό σας ασφαλές με κλειδιά και πιστοποιητικά                                                                          |                        [Διατηρήστε το φυτό σας ασφαλές](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Μεταφορές](./3-transport/README.md)       |                      Παρακολούθηση τοποθεσίας                      | Μάθετε για την παρακολούθηση τοποθεσίας GPS για συσκευές IoT                                                                                                                   |                           [Παρακολούθηση τοποθεσίας](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Μεταφορές](./3-transport/README.md)       |                     Αποθήκευση δεδομένων τοποθεσίας                     | Μάθετε πώς να αποθηκεύσετε δεδομένα IoT για να τα οπτικοποιήσετε ή να τα αναλύσετε αργότερα                                                                                                      |                         [Αποθήκευση δεδομένων τοποθεσίας](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  12   |       [Μεταφορές](./3-transport/README.md)       |                     Αποθήκευση δεδομένων τοποθεσίας                     | Μάθετε πώς να αποθηκεύετε δεδομένα IoT για να τα οπτικοποιήσετε ή να τα αναλύσετε αργότερα                                                                                                      |                         [Αποθήκευση δεδομένων τοποθεσίας](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [Μεταφορές](./3-transport/README.md)       |                   Οπτικοποίηση δεδομένων τοποθεσίας                   | Μάθετε για την οπτικοποίηση δεδομένων τοποθεσίας σε έναν χάρτη και πώς οι χάρτες αναπαριστούν τον πραγματικό τρισδιάστατο κόσμο σε δύο διαστάσεις                                                            |                     [Οπτικοποίηση δεδομένων τοποθεσίας](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Μεταφορές](./3-transport/README.md)       |                          Γεωφράγματα                          | Μάθετε για τα γεωφράγματα και πώς μπορούν να χρησιμοποιηθούν για να ειδοποιούν όταν οχήματα στην εφοδιαστική αλυσίδα πλησιάζουν στον προορισμό τους                                           |                                   [Γεωφράγματα](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Βιομηχανία](./4-manufacturing/README.md)   |               Εκπαίδευση ανιχνευτή ποιότητας φρούτων                | Μάθετε για την εκπαίδευση ενός ταξινομητή εικόνας στο cloud για να ανιχνεύει την ποιότητα των φρούτων                                                                                       |                 [Εκπαίδευση ανιχνευτή ποιότητας φρούτων](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Βιομηχανία](./4-manufacturing/README.md)   |           Έλεγχος ποιότητας φρούτων από συσκευή IoT            | Μάθετε πώς να χρησιμοποιήσετε τον ανιχνευτή ποιότητας φρούτων από μια συσκευή IoT                                                                                                    |           [Έλεγχος ποιότητας φρούτων από συσκευή IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Βιομηχανία](./4-manufacturing/README.md)   |             Εκτέλεση του ανιχνευτή φρούτων στην άκρη             | Μάθετε πώς να εκτελέσετε τον ανιχνευτή φρούτων σε μια συσκευή IoT στην άκρη                                                                                                |             [Εκτέλεση του ανιχνευτή φρούτων στην άκρη](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Βιομηχανία](./4-manufacturing/README.md)   |        Ενεργοποίηση ανίχνευσης ποιότητας φρούτων από αισθητήρα        | Μάθετε πώς να ενεργοποιήσετε την ανίχνευση ποιότητας φρούτων από έναν αισθητήρα                                                                                                        |        [Ενεργοποίηση ανίχνευσης ποιότητας φρούτων από αισθητήρα](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Λιανική](./5-retail/README.md)          |                   Εκπαίδευση ανιχνευτή αποθέματος                    | Μάθετε πώς να χρησιμοποιήσετε την ανίχνευση αντικειμένων για να εκπαιδεύσετε έναν ανιχνευτή αποθέματος για να μετράει το απόθεμα σε ένα κατάστημα                                                                                |                        [Εκπαίδευση ανιχνευτή αποθέματος](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Λιανική](./5-retail/README.md)          |               Έλεγχος αποθέματος από συσκευή IoT                | Μάθετε πώς να ελέγξετε το απόθεμα από μια συσκευή IoT χρησιμοποιώντας ένα μοντέλο ανίχνευσης αντικειμένων                                                                                         |                     [Έλεγχος αποθέματος από συσκευή IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Καταναλωτές](./6-consumer/README.md)        |             Αναγνώριση ομιλίας με συσκευή IoT             | Μάθετε πώς να αναγνωρίσετε ομιλία από μια συσκευή IoT για να δημιουργήσετε έναν έξυπνο χρονομετρητή                                                                                             |                  [Αναγνώριση ομιλίας με συσκευή IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Καταναλωτές](./6-consumer/README.md)        |                     Κατανόηση γλώσσας                     | Μάθετε πώς να κατανοείτε προτάσεις που λέγονται σε μια συσκευή IoT                                                                                                           |                        [Κατανόηση γλώσσας](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Καταναλωτές](./6-consumer/README.md)        |           Ρύθμιση χρονομέτρησης και παροχή φωνητικής ανατροφοδότησης           | Μάθετε πώς να ρυθμίσετε έναν χρονομετρητή σε μια συσκευή IoT και να δώσετε φωνητική ανατροφοδότηση για το πότε ρυθμίζεται και πότε τελειώνει                                                    |                 [Ρύθμιση χρονομέτρησης και παροχή φωνητικής ανατροφοδότησης](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Καταναλωτές](./6-consumer/README.md)        |                 Υποστήριξη πολλαπλών γλωσσών                  | Μάθετε πώς να υποστηρίζετε πολλαπλές γλώσσες, τόσο για την ομιλία προς τη συσκευή όσο και για τις απαντήσεις από τον έξυπνο χρονομετρητή                                                               |                   [Υποστήριξη πολλαπλών γλωσσών](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  14   |       [Μεταφορές](./3-transport/README.md)       |                          Γεωφράχτες                          | Μάθετε για τους γεωφράχτες και πώς μπορούν να χρησιμοποιηθούν για να ειδοποιούν όταν οχήματα στην εφοδιαστική αλυσίδα πλησιάζουν στον προορισμό τους                                           |                                   [Γεωφράχτες](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Βιομηχανία](./4-manufacturing/README.md)   |               Εκπαίδευση ανιχνευτή ποιότητας φρούτων                | Μάθετε πώς να εκπαιδεύσετε έναν ταξινομητή εικόνων στο cloud για να ανιχνεύει την ποιότητα των φρούτων                                                                                       |                 [Εκπαίδευση ανιχνευτή ποιότητας φρούτων](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Βιομηχανία](./4-manufacturing/README.md)   |           Έλεγχος ποιότητας φρούτων από συσκευή IoT            | Μάθετε πώς να χρησιμοποιείτε τον ανιχνευτή ποιότητας φρούτων από μια συσκευή IoT                                                                                                    |           [Έλεγχος ποιότητας φρούτων από συσκευή IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Βιομηχανία](./4-manufacturing/README.md)   |             Εκτέλεση του ανιχνευτή φρούτων στην άκρη             | Μάθετε πώς να εκτελείτε τον ανιχνευτή φρούτων σε μια συσκευή IoT στην άκρη                                                                                                |             [Εκτέλεση του ανιχνευτή φρούτων στην άκρη](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Βιομηχανία](./4-manufacturing/README.md)   |        Ενεργοποίηση ανίχνευσης ποιότητας φρούτων από αισθητήρα        | Μάθετε πώς να ενεργοποιείτε την ανίχνευση ποιότητας φρούτων από έναν αισθητήρα                                                                                                        |        [Ενεργοποίηση ανίχνευσης ποιότητας φρούτων από αισθητήρα](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Λιανικό εμπόριο](./5-retail/README.md)          |                   Εκπαίδευση ανιχνευτή αποθέματος                    | Μάθετε πώς να χρησιμοποιείτε την ανίχνευση αντικειμένων για να εκπαιδεύσετε έναν ανιχνευτή αποθέματος για να μετράει το απόθεμα σε ένα κατάστημα                                                                                |                        [Εκπαίδευση ανιχνευτή αποθέματος](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Λιανικό εμπόριο](./5-retail/README.md)          |               Έλεγχος αποθέματος από συσκευή IoT                | Μάθετε πώς να ελέγχετε το απόθεμα από μια συσκευή IoT χρησιμοποιώντας ένα μοντέλο ανίχνευσης αντικειμένων                                                                                         |                     [Έλεγχος αποθέματος από συσκευή IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Καταναλωτής](./6-consumer/README.md)        |             Αναγνώριση ομιλίας με συσκευή IoT             | Μάθετε πώς να αναγνωρίζετε ομιλία από μια συσκευή IoT για να δημιουργήσετε έναν έξυπνο χρονομετρητή                                                                                             |                  [Αναγνώριση ομιλίας με συσκευή IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Καταναλωτής](./6-consumer/README.md)        |                     Κατανόηση γλώσσας                     | Μάθετε πώς να κατανοείτε προτάσεις που λέγονται σε μια συσκευή IoT                                                                                                           |                        [Κατανόηση γλώσσας](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Καταναλωτής](./6-consumer/README.md)        |           Ρύθμιση χρονομέτρησης και παροχή φωνητικής ανατροφοδότησης           | Μάθετε πώς να ρυθμίζετε έναν χρονομετρητή σε μια συσκευή IoT και να δίνετε φωνητική ανατροφοδότηση για το πότε ρυθμίζεται ο χρονομετρητής και πότε τελειώνει                                                    |                 [Ρύθμιση χρονομέτρησης και παροχή φωνητικής ανατροφοδότησης](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Καταναλωτής](./6-consumer/README.md)        |                 Υποστήριξη πολλαπλών γλωσσών                  | Μάθετε πώς να υποστηρίζετε πολλαπλές γλώσσες, τόσο για την ομιλία προς τη συσκευή όσο και για τις απαντήσεις από τον έξυπνο χρονομετρητή                                                               |                   [Υποστήριξη πολλαπλών γλωσσών](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Πρόσβαση εκτός σύνδεσης
 
-Μπορείτε να εκτελέσετε αυτήν την τεκμηρίωση εκτός σύνδεσης χρησιμοποιώντας το [Docsify](https://docsify.js.org/#/). Κλωνοποιήστε αυτό το αποθετήριο, [εγκαταστήστε το Docsify](https://docsify.js.org/#/quickstart) στον τοπικό σας υπολογιστή και στη συνέχεια, στον κύριο φάκελο αυτού του αποθετηρίου, πληκτρολογήστε `docsify serve`. Ο ιστότοπος θα εξυπηρετείται στη θύρα 3000 στον τοπικό σας διακομιστή: `localhost:3000`.
+Μπορείτε να εκτελέσετε αυτήν την τεκμηρίωση εκτός σύνδεσης χρησιμοποιώντας το [Docsify](https://docsify.js.org/#/). Κάντε fork αυτό το repo, [εγκαταστήστε το Docsify](https://docsify.js.org/#/quickstart) στον τοπικό σας υπολογιστή και στη συνέχεια, στον κύριο φάκελο αυτού του repo, πληκτρολογήστε `docsify serve`. Ο ιστότοπος θα εξυπηρετείται στην πόρτα 3000 στον localhost σας: `localhost:3000`.
 
 ## Κουίζ
 
@@ -135,7 +141,7 @@ CO_OP_TRANSLATOR_METADATA:
 
 ### PDF
 
-Μπορείτε να δημιουργήσετε ένα PDF αυτού του περιεχομένου για πρόσβαση εκτός σύνδεσης, αν χρειαστεί. Για να το κάνετε αυτό, βεβαιωθείτε ότι έχετε [εγκαταστήσει το npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) και εκτελέστε τις παρακάτω εντολές στον κύριο φάκελο αυτού του αποθετηρίου:
+Μπορείτε να δημιουργήσετε ένα PDF αυτού του περιεχομένου για πρόσβαση εκτός σύνδεσης, εάν χρειάζεται. Για να το κάνετε αυτό, βεβαιωθείτε ότι έχετε [εγκατεστημένο το npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) και εκτελέστε τις παρακάτω εντολές στον κύριο φάκελο αυτού του repo:
 
 ```sh
 npm i
@@ -144,14 +150,12 @@ npm run convert
 
 ### Διαφάνειες
 
-Υπάρχουν παρουσιάσεις για ορισμένα από τα μαθήματα στον φάκελο [slides](../../slides).
-
+Υπάρχουν διαφάνειες για ορισμένα από τα μαθήματα στον φάκελο [slides](../../slides).
 
 ## Άλλα Προγράμματα Σπουδών
 
 Η ομάδα μας δημιουργεί και άλλα προγράμματα σπουδών! Δείτε:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD για Αρχάριους](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI για Αρχάριους](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,7 +163,7 @@ npm run convert
 [![AI Agents για Αρχάριους](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Σειρά Γενετικής AI
 [![Γενετική AI για Αρχάριους](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Γενετική AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
@@ -167,28 +171,31 @@ npm run convert
 [![Γενετική AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Βασική Μάθηση
-[![ML για Αρχάριους](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Επιστήμη Δεδομένων για Αρχάριους](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI για Αρχάριους](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Κυβερνοασφάλεια για Αρχάριους](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web Development για Αρχάριους](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT για Αρχάριους](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Ανάπτυξη XR για Αρχάριους](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML για Αρχάριους](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Επιστήμη Δεδομένων για Αρχάριους](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI για Αρχάριους](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Κυβερνοασφάλεια για Αρχάριους](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Web Dev για Αρχάριους](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT για Αρχάριους](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Ανάπτυξη XR για Αρχάριους](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Σειρά Copilot  
-[![Copilot για Συνεργατική Προγραμματιστική AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot για C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot Περιπέτεια](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Σειρά Copilot
+[![Copilot για Συνεργατική Προγραμματιστική AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot για C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Περιπέτεια Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Αναφορές εικόνων  
+## Αποδόσεις εικόνων
 
-Μπορείτε να βρείτε όλες τις αναφορές για τις εικόνες που χρησιμοποιούνται σε αυτό το πρόγραμμα σπουδών, όπου απαιτείται, στις [Αναφορές](./attributions.md).  
+Μπορείτε να βρείτε όλες τις αποδόσεις για τις εικόνες που χρησιμοποιούνται σε αυτό το πρόγραμμα σπουδών, όπου απαιτείται, στις [Αποδόσεις](./attributions.md).
 
 ---
 
-**Αποποίηση ευθύνης**:  
-Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης [Co-op Translator](https://github.com/Azure/co-op-translator). Παρόλο που καταβάλλουμε προσπάθειες για ακρίβεια, παρακαλούμε να έχετε υπόψη ότι οι αυτόματες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα θα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, συνιστάται επαγγελματική ανθρώπινη μετάφραση. Δεν φέρουμε ευθύνη για τυχόν παρεξηγήσεις ή εσφαλμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Αποποίηση ευθυνών**:  
+Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης [Co-op Translator](https://github.com/Azure/co-op-translator). Παρόλο που καταβάλλουμε προσπάθειες για ακρίβεια, παρακαλούμε να έχετε υπόψη ότι οι αυτόματες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα θα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, συνιστάται επαγγελματική ανθρώπινη μετάφραση. Δεν φέρουμε ευθύνη για τυχόν παρεξηγήσεις ή εσφαλμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/en/README.md b/translations/en/README.md
index be54046d7..63adfd212 100644
--- a/translations/en/README.md
+++ b/translations/en/README.md
@@ -1,142 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:51:49+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:04:51+00:00",
   "source_file": "README.md",
   "language_code": "en"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Join the Azure AI Foundry Community 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Join the Azure AI Foundry Community  
 
-Follow these steps to get started using these resources:
-1. **Fork the Repository**: Click [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone the Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Join The Azure AI Foundry Discord and meet experts and fellow developers**](https://discord.com/invite/ByRwuEEgH4)
+If you encounter challenges or have questions about building AI applications, join other learners and experienced developers in discussions about MCP. It's a welcoming community where questions are encouraged and knowledge is shared openly.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Multi-Language Support
+If you have product feedback or experience issues while building, visit:  
 
-#### Supported via GitHub Action (Automated & Always Up-to-Date)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Follow these steps to start using these resources:  
+1. **Fork the Repository**: Click [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone the Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Join The Microsoft Foundry Discord and connect with experts and fellow developers**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT for Beginners - A Curriculum
+### 🌐 Multi-Language Support  
 
-Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about IoT basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
+#### Supported via GitHub Action (Automated & Always Up-to-Date)  
 
-The projects cover the journey of food from farm to table. This includes farming, logistics, manufacturing, retail and consumer - all popular industry areas for IoT devices.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![A road map for the course showing 24 lessons covering intro, farming, transport, processing, retail and cooking](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.en.jpg)
+# IoT for Beginners - A Curriculum  
 
-> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+Azure Cloud Advocates at Microsoft are excited to present a 12-week, 24-lesson curriculum focused on IoT fundamentals. Each lesson includes pre- and post-lesson quizzes, detailed instructions, solutions, assignments, and more. Our project-based approach ensures you learn by building, a proven method for retaining new skills.  
 
-**Hearty thanks to our authors [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), and our sketchnote artist [Nitya Narasimhan](https://github.com/nitya).**
+The projects explore the journey of food from farm to table, covering farming, logistics, manufacturing, retail, and consumer stages—key industries for IoT applications.  
 
-**Thanks as well to our team of [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) who have been reviewing and translating this curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), and [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![A road map for the course showing 24 lessons covering intro, farming, transport, processing, retail and cooking](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.en.jpg)  
 
-Meet the team!
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.  
 
-[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Special thanks to our authors [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), and our sketchnote artist [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**We also appreciate the contributions of our [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) who have reviewed and translated this curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), and [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Click the image above for a video about the project!
+Meet the team!  
 
-> **Teachers**, we have [included some suggestions](for-teachers.md) on how to use this curriculum. If you would like to create your own lessons, we have also included a [lesson template](lesson-template/README.md).
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Students](https://aka.ms/student-page)**, to use this curriculum on your own, fork the entire repo and complete the exercises on your own, starting with a pre-lecture quiz, then reading the lecture and completing the rest of the activities. Try to create the projects by comprehending the lessons rather than copying the solution code; however that code is available in the /solutions folders in each project-oriented lesson. Another idea would be to form a study group with friends and go through the content together. For further study, we recommend [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+**Gif by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-For a video overview of this course, check out this video:
+> 🎥 Click the image above for a video about the project!  
 
-[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> **Teachers**, we have [included some suggestions](for-teachers.md) on how to use this curriculum. If you want to create your own lessons, we’ve also provided a [lesson template](lesson-template/README.md).  
 
-> 🎥 Click the image above for a video about the project!
+> **[Students](https://aka.ms/student-page)**, to use this curriculum independently, fork the repository and complete the exercises starting with the pre-lesson quiz, then read the lecture and complete the activities. Try to build the projects by understanding the lessons rather than copying the solution code, although the code is available in the /solutions folders for each project-based lesson. Another idea is to form a study group with friends and go through the content together. For further study, we recommend [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-## Pedagogy
+For a video overview of this course, check out this video:  
 
-We have chosen two pedagogical tenets while building this curriculum: ensuring that it is project-based and that it includes frequent quizzes. By the end of this series, students will have built a plant monitoring and watering system, a vehicle tracker, a smart factory setup to track and check food, and a voice-controlled cooking timer, and will have learned the basics of the Internet of Things including how to write device code, connect to the cloud, analyze telemetry and run AI on the edge.
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-By ensuring that the content aligns with projects, the process is made more engaging for students and retention of concepts will be augmented.
+> 🎥 Click the image above for a video about the project!  
 
-In addition, a low-stakes quiz before a class sets the intention of the student towards learning a topic, while a second quiz after class ensures further retention. This curriculum was designed to be flexible and fun and can be taken in whole or in part. The projects start small and become increasingly complex by the end of the 12 week cycle.
+## Pedagogy  
 
-Each project is based around real-world hardware available to students and hobbyists. Each project looks into the specific project domain, providing relevant background knowledge. To be a successful developer it helps to understand the domain in which you are solving problems, providing this background knowledge allows students to think about their IoT solutions and learnings in the context of the kind of real-world problem that they might be asked to solve as an IoT developer. Students learn the 'why' of the solutions they are building, and get an appreciation of the end user.
+We’ve adopted two key teaching principles for this curriculum: making it project-based and including frequent quizzes. By the end of this series, students will have built a plant monitoring and watering system, a vehicle tracker, a smart factory setup to track and check food, and a voice-controlled cooking timer, while learning IoT basics such as device coding, cloud connectivity, telemetry analysis, and edge AI.  
 
-## Hardware
+By aligning the content with projects, the learning process becomes more engaging, and concept retention is enhanced.  
 
-We have two choices of IoT hardware to use for the projects depending on personal preference, programming language knowledge or preferences, learning goals and availability. We have also provided a 'virtual hardware' version for those who don't have access to hardware, or want to learn more before committing to a purchase. You can read more and find a 'shopping list' on the [hardware page](./hardware.md), including links to buy complete kits from our friends at Seeed Studio.
+Additionally, a low-pressure quiz before class helps students focus on the topic, while a post-class quiz reinforces retention. This curriculum is designed to be flexible and enjoyable, allowing students to take it in full or in part. The projects start simple and grow more complex over the 12-week cycle.  
 
-> 💁 Find our [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), and [Translation](TRANSLATIONS.md) guidelines. We welcome your constructive feedback!
+Each project uses real-world hardware accessible to students and hobbyists. The curriculum also provides relevant background knowledge for each project domain. Understanding the domain helps developers solve problems effectively, and this context allows students to think about IoT solutions in real-world scenarios. Students learn the 'why' behind the solutions they build and gain an appreciation for the end user.  
 
-## Each lesson includes:
+## Hardware  
 
-- sketchnote
-- optional supplemental video
-- pre-lesson warmup quiz
-- written lesson
-- for project-based lessons, step-by-step guides on how to build the project
-- knowledge checks
-- a challenge
-- supplemental reading
-- assignment
-- [post-lesson quiz](https://ff-quizzes.netlify.app/en/)
+We offer two IoT hardware options for the projects, depending on personal preferences, programming language knowledge, learning goals, and availability. A 'virtual hardware' version is also available for those without access to physical hardware or who want to learn more before purchasing. You can find a 'shopping list' and more details on the [hardware page](./hardware.md), including links to buy complete kits from Seeed Studio.  
 
-> **A note about quizzes**: All quizzes are contained in the quiz-app folder, for 48 total quizzes of three questions each. They are linked from within the lessons but the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized.
+> 💁 Check out our [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), and [Translation](TRANSLATIONS.md) guidelines. We welcome your constructive feedback!  
+
+## Each lesson includes:  
+
+- sketchnote  
+- optional supplemental video  
+- pre-lesson warmup quiz  
+- written lesson  
+- for project-based lessons, step-by-step guides on how to build the project  
+- knowledge checks  
+- a challenge  
+- supplemental reading  
+- assignment  
+- [post-lesson quiz](https://ff-quizzes.netlify.app/en/)  
+> **A note about quizzes**: All quizzes are located in the quiz-app folder, with a total of 48 quizzes, each containing three questions. They are linked within the lessons, but the quiz app can be run locally or deployed to Azure; follow the instructions in the `quiz-app` folder. Localization is being done gradually.
 
 ## Lessons
 
 |       |              Project Name              |                       Concepts Taught                       | Learning Objectives                                                                                                                                                 |                                                        Linked Lesson                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Getting started](./1-getting-started/README.md) |                     Introduction to IoT                     | Learn the basic principles of IoT and the fundamental components of IoT solutions such as sensors and cloud services while setting up your first IoT device |                      [Introduction to IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Getting started](./1-getting-started/README.md) |                   A deeper dive into IoT                    | Explore the components of an IoT system in more detail, including microcontrollers and single-board computers                                                            |                        [A deeper dive into IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Getting started](./1-getting-started/README.md) | Interact with the physical world with sensors and actuators | Discover how sensors collect data from the physical world and actuators provide feedback, while building a nightlight                                           | [Interact with the physical world with sensors and actuators](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Getting started](./1-getting-started/README.md) |             Connect your device to the Internet             | Learn how to connect an IoT device to the Internet to send and receive messages by linking your nightlight to an MQTT broker                               |               [Connect your device to the Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    Predict plant growth                     | Understand how to predict plant growth using temperature data collected by an IoT device                                                                                  |                          [Predict plant growth](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farm](./2-farm/README.md)            |                    Detect soil moisture                     | Learn how to measure soil moisture and calibrate a soil moisture sensor                                                                                              |                          [Detect soil moisture](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  Automated plant watering                   | Discover how to automate and schedule watering using a relay and MQTT                                                                                                      |                      [Automated plant watering](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farm](./2-farm/README.md)            |               Migrate your plant to the cloud               | Learn about cloud-hosted IoT services and how to connect your plant to one of these instead of a public MQTT broker                                   |               [Migrate your plant to the cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farm](./2-farm/README.md)            |         Migrate your application logic to the cloud         | Discover how to write application logic in the cloud that responds to IoT messages                                                                          |         [Migrate your application logic to the cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Farm](./2-farm/README.md)            |                   Keep your plant secure                    | Learn about IoT security and how to protect your plant using keys and certificates                                                                          |                        [Keep your plant secure](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  01   | [Getting started](./1-getting-started/README.md) |                     Introduction to IoT                     | Learn the basic principles of IoT and the fundamental components of IoT solutions, such as sensors and cloud services, while setting up your first IoT device       |                      [Introduction to IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Getting started](./1-getting-started/README.md) |                   A deeper dive into IoT                    | Learn more about the components of an IoT system, as well as microcontrollers and single-board computers                                                            |                        [A deeper dive into IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Getting started](./1-getting-started/README.md) | Interact with the physical world with sensors and actuators | Learn about sensors to collect data from the physical world and actuators to provide feedback, while building a nightlight                                           | [Interact with the physical world with sensors and actuators](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Getting started](./1-getting-started/README.md) |             Connect your device to the Internet             | Learn how to connect an IoT device to the Internet to send and receive messages by connecting your nightlight to an MQTT broker                                      |               [Connect your device to the Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farm](./2-farm/README.md)            |                    Predict plant growth                     | Learn how to predict plant growth using temperature data collected by an IoT device                                                                                 |                          [Predict plant growth](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farm](./2-farm/README.md)            |                    Detect soil moisture                     | Learn how to detect soil moisture and calibrate a soil moisture sensor                                                                                              |                          [Detect soil moisture](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farm](./2-farm/README.md)            |                  Automated plant watering                   | Learn how to automate and schedule watering using a relay and MQTT                                                                                                  |                      [Automated plant watering](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farm](./2-farm/README.md)            |               Migrate your plant to the cloud               | Learn about the cloud and cloud-hosted IoT services, and how to connect your plant to one of these instead of a public MQTT broker                                   |               [Migrate your plant to the cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farm](./2-farm/README.md)            |         Migrate your application logic to the cloud         | Learn how to write application logic in the cloud that responds to IoT messages                                                                                     |         [Migrate your application logic to the cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Farm](./2-farm/README.md)            |                   Keep your plant secure                    | Learn about IoT security and how to keep your plant secure using keys and certificates                                                                              |                        [Keep your plant secure](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Transport](./3-transport/README.md)       |                      Location tracking                      | Learn about GPS location tracking for IoT devices                                                                                                                   |                           [Location tracking](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Store location data                     | Discover how to store IoT data for visualization or analysis later                                                                                                      |                         [Store location data](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Visualize location data                   | Learn how to visualize location data on a map and understand how maps represent the real 3D world in 2D                                                            |                     [Visualize location data](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Understand geofences and how they can be used to alert when vehicles in the supply chain approach their destination                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufacturing](./4-manufacturing/README.md)   |               Train a fruit quality detector                | Learn how to train an image classifier in the cloud to assess fruit quality                                                                                       |                 [Train a fruit quality detector](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufacturing](./4-manufacturing/README.md)   |           Check fruit quality from an IoT device            | Discover how to use your fruit quality detector from an IoT device                                                                                                    |           [Check fruit quality from an IoT device](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Manufacturing](./4-manufacturing/README.md)   |             Run your fruit detector on the edge             | Learn how to operate your fruit detector on an IoT device at the edge                                                                                                |             [Run your fruit detector on the edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufacturing](./4-manufacturing/README.md)   |        Trigger fruit quality detection from a sensor        | Understand how to initiate fruit quality detection using a sensor                                                                                                        |        [Trigger fruit quality detection from a sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Retail](./5-retail/README.md)          |                   Train a stock detector                    | Learn how to use object detection to train a stock detector to count inventory in a store                                                                                |                        [Train a stock detector](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Retail](./5-retail/README.md)          |               Check stock from an IoT device                | Discover how to check inventory from an IoT device using an object detection model                                                                                         |                     [Check stock from an IoT device](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumer](./6-consumer/README.md)        |             Recognize speech with an IoT device             | Learn how to use speech recognition on an IoT device to create a smart timer                                                                                             |                  [Recognize speech with an IoT device](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consumer](./6-consumer/README.md)        |                     Understand language                     | Discover how to interpret sentences spoken to an IoT device                                                                                                           |                        [Understand language](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumer](./6-consumer/README.md)        |           Set a timer and provide spoken feedback           | Learn how to set a timer on an IoT device and provide spoken feedback when the timer is set and when it finishes                                                    |                 [Set a timer and provide spoken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumer](./6-consumer/README.md)        |                 Support multiple languages                  | Discover how to enable support for multiple languages, both for input and responses from your smart timer                                                               |                   [Support multiple languages](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  12   |       [Transport](./3-transport/README.md)       |                     Store location data                     | Learn how to store IoT data for visualization or analysis later                                                                                                     |                         [Store location data](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Visualize location data                   | Learn about visualizing location data on a map and how maps represent the real 3D world in 2D                                                                        |                     [Visualize location data](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Learn about geofences and how they can be used to alert when vehicles in the supply chain are near their destination                                                |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Manufacturing](./4-manufacturing/README.md)   |               Train a fruit quality detector                | Learn how to train an image classifier in the cloud to detect fruit quality                                                                                         |                 [Train a fruit quality detector](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Manufacturing](./4-manufacturing/README.md)   |           Check fruit quality from an IoT device            | Learn how to use your fruit quality detector from an IoT device                                                                                                     |           [Check fruit quality from an IoT device](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Manufacturing](./4-manufacturing/README.md)   |             Run your fruit detector on the edge             | Learn how to run your fruit detector on an IoT device at the edge                                                                                                   |             [Run your fruit detector on the edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Manufacturing](./4-manufacturing/README.md)   |        Trigger fruit quality detection from a sensor        | Learn how to trigger fruit quality detection using a sensor                                                                                                         |        [Trigger fruit quality detection from a sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Retail](./5-retail/README.md)          |                   Train a stock detector                    | Learn how to use object detection to train a stock detector to count inventory in a store                                                                           |                        [Train a stock detector](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Retail](./5-retail/README.md)          |               Check stock from an IoT device                | Learn how to check inventory from an IoT device using an object detection model                                                                                     |                     [Check stock from an IoT device](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consumer](./6-consumer/README.md)        |             Recognize speech with an IoT device             | Learn how to recognize speech from an IoT device to build a smart timer                                                                                             |                  [Recognize speech with an IoT device](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Consumer](./6-consumer/README.md)        |                     Understand language                     | Learn how to understand sentences spoken to an IoT device                                                                                                           |                        [Understand language](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Consumer](./6-consumer/README.md)        |           Set a timer and provide spoken feedback           | Learn how to set a timer on an IoT device and provide spoken feedback on when the timer is set and when it finishes                                                 |                 [Set a timer and provide spoken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consumer](./6-consumer/README.md)        |                 Support multiple languages                  | Learn how to support multiple languages, both for input and responses from your smart timer                                                                         |                   [Support multiple languages](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline access
 
-You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.
+You can run this documentation offline using [Docsify](https://docsify.js.org/#/). Fork this repository, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repository, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.
 
 ## Quiz
 
-Thanks to the community for hosting the interactive quiz which tests your knowledge on each of the chapters. You can test your knowledge [here](https://ff-quizzes.netlify.app/en/) 
+Thanks to the community for hosting the interactive quiz that tests your knowledge of each chapter. You can test your knowledge [here](https://ff-quizzes.netlify.app/en/).
 
 ### PDF
 
-You can generate a PDF of this content for offline access if needed. To do this, make sure you have [npm installed](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) and run the following commands in the root folder of this repo:
+You can generate a PDF of this content for offline access if needed. To do this, ensure you have [npm installed](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) and run the following commands in the root folder of this repository:
 
 ```sh
 npm i
@@ -145,12 +150,11 @@ npm run convert
 
 ### Slides
 
-There are slide decks for some of the lessons in the [slides](../../slides) folder.
-
+Slide decks for some lessons are available in the [slides](../../slides) folder.
 
 ## Other Curricula
 
-Our team produces other curricula! Check out:
+Our team creates other curricula! Check out:
 
 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
@@ -160,7 +164,7 @@ Our team produces other curricula! Check out:
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generative AI Series
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
@@ -168,7 +172,7 @@ Our team produces other curricula! Check out:
 [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Core Learning
 [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
 [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
@@ -180,17 +184,19 @@ Our team produces other curricula! Check out:
 
 ---
 
-### Copilot Series  
+### Copilot Series
 [![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
 [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
 [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Image attributions  
+## Image attributions
 
-You can find all the attributions for the images used in this curriculum where required in the [Attributions](./attributions.md).  
+You can find all the attributions for the images used in this curriculum where required in the [Attributions](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Disclaimer**:  
-This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.
\ No newline at end of file
+This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be considered the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/es/README.md b/translations/es/README.md
index 79eb37368..39d5dff9d 100644
--- a/translations/es/README.md
+++ b/translations/es/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:53:11+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:07:25+00:00",
   "source_file": "README.md",
   "language_code": "es"
 }
@@ -14,28 +14,37 @@ CO_OP_TRANSLATOR_METADATA:
 [![PRs Bienvenidos](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
 [![Observadores de GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
-[![Forks de GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Bifurcaciones de GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
 [![Estrellas de GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### Únete a la Comunidad de Azure AI Foundry  
-[![Discord de Microsoft Azure AI Foundry](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
+
+Si te quedas atascado o tienes preguntas sobre cómo construir aplicaciones de IA, únete a otros estudiantes y desarrolladores experimentados en discusiones sobre MCP. Es una comunidad de apoyo donde las preguntas son bienvenidas y el conocimiento se comparte libremente.  
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
+
+Si tienes comentarios sobre el producto o encuentras errores mientras construyes, visita:  
+
+[![Foro de Desarrolladores de Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
 Sigue estos pasos para comenzar a usar estos recursos:  
-1. **Haz un Fork del Repositorio**: Haz clic en [![Forks de GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+1. **Bifurca el Repositorio**: Haz clic en [![Bifurcaciones de GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
 2. **Clona el Repositorio**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Únete al Discord de Azure AI Foundry y conoce a expertos y otros desarrolladores**](https://discord.com/invite/ByRwuEEgH4)  
+3. [**Únete al Discord de Microsoft Foundry y conoce a expertos y otros desarrolladores**](https://discord.com/invite/ByRwuEEgH4)  
 
 ### 🌐 Soporte Multilingüe  
 
-#### Disponible a través de GitHub Action (Automatizado y Siempre Actualizado)  
+#### Soportado a través de GitHub Action (Automatizado y Siempre Actualizado)  
 
-[Árabe](../ar/README.md) | [Bengalí](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Chino (Simplificado)](../zh/README.md) | [Chino (Tradicional, Hong Kong)](../hk/README.md) | [Chino (Tradicional, Macao)](../mo/README.md) | [Chino (Tradicional, Taiwán)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Danés](../da/README.md) | [Holandés](../nl/README.md) | [Estonio](../et/README.md) | [Finlandés](../fi/README.md) | [Francés](../fr/README.md) | [Alemán](../de/README.md) | [Griego](../el/README.md) | [Hebreo](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonesio](../id/README.md) | [Italiano](../it/README.md) | [Japonés](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malayo](../ms/README.md) | [Maratí](../mr/README.md) | [Nepalí](../ne/README.md) | [Noruego](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Portugués (Brasil)](../br/README.md) | [Portugués (Portugal)](../pt/README.md) | [Panyabí (Gurmukhi)](../pa/README.md) | [Rumano](../ro/README.md) | [Ruso](../ru/README.md) | [Serbio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Español](./README.md) | [Swahili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Tailandés](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
+[Árabe](../ar/README.md) | [Bengalí](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Chino (Simplificado)](../zh/README.md) | [Chino (Tradicional, Hong Kong)](../hk/README.md) | [Chino (Tradicional, Macao)](../mo/README.md) | [Chino (Tradicional, Taiwán)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Danés](../da/README.md) | [Holandés](../nl/README.md) | [Estonio](../et/README.md) | [Finlandés](../fi/README.md) | [Francés](../fr/README.md) | [Alemán](../de/README.md) | [Griego](../el/README.md) | [Hebreo](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonesio](../id/README.md) | [Italiano](../it/README.md) | [Japonés](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malayo](../ms/README.md) | [Maratí](../mr/README.md) | [Nepalí](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Noruego](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Portugués (Brasil)](../br/README.md) | [Portugués (Portugal)](../pt/README.md) | [Panyabí (Gurmukhi)](../pa/README.md) | [Rumano](../ro/README.md) | [Ruso](../ru/README.md) | [Serbio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Español](./README.md) | [Suajili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Tailandés](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT para Principiantes - Un Currículo  
 
-Los Azure Cloud Advocates de Microsoft se complacen en ofrecer un currículo de 12 semanas y 24 lecciones sobre los conceptos básicos de IoT. Cada lección incluye cuestionarios antes y después de la lección, instrucciones escritas para completar la lección, una solución, una tarea y más. Nuestra pedagogía basada en proyectos te permite aprender mientras construyes, una forma comprobada de que las nuevas habilidades se queden contigo.  
+Los Azure Cloud Advocates en Microsoft se complacen en ofrecer un currículo de 12 semanas y 24 lecciones sobre los conceptos básicos de IoT. Cada lección incluye cuestionarios antes y después de la lección, instrucciones escritas para completar la lección, una solución, una tarea y más. Nuestra pedagogía basada en proyectos te permite aprender mientras construyes, una forma comprobada de que las nuevas habilidades "se queden".  
 
-Los proyectos cubren el recorrido de los alimentos desde la granja hasta la mesa. Esto incluye agricultura, logística, manufactura, venta al por menor y consumidor, todas áreas populares de la industria para dispositivos IoT.  
+Los proyectos cubren el viaje de los alimentos desde la granja hasta la mesa. Esto incluye agricultura, logística, manufactura, venta al por menor y consumo, todas áreas populares de la industria para dispositivos IoT.  
 
 ![Un mapa del curso que muestra 24 lecciones que cubren introducción, agricultura, transporte, procesamiento, venta al por menor y cocina](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.es.jpg)  
 
@@ -43,7 +52,7 @@ Los proyectos cubren el recorrido de los alimentos desde la granja hasta la mesa
 
 **Un agradecimiento especial a nuestros autores [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), y nuestra artista de sketchnotes [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gracias también a nuestro equipo de [Embajadores Estudiantiles de Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) que han estado revisando y traduciendo este currículo - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), y [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
+**Gracias también a nuestro equipo de [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) que han estado revisando y traduciendo este currículo - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), y [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
 ¡Conoce al equipo!  
 
@@ -51,77 +60,76 @@ Los proyectos cubren el recorrido de los alimentos desde la granja hasta la mesa
 
 **Gif por** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-> 🎥 Haz clic en la imagen de arriba para ver un video sobre el proyecto.  
+> 🎥 ¡Haz clic en la imagen de arriba para ver un video sobre el proyecto!  
 
 > **Profesores**, hemos [incluido algunas sugerencias](for-teachers.md) sobre cómo usar este currículo. Si deseas crear tus propias lecciones, también hemos incluido una [plantilla de lección](lesson-template/README.md).  
 
-> **[Estudiantes](https://aka.ms/student-page)**, para usar este currículo por tu cuenta, haz un fork del repositorio completo y completa los ejercicios por tu cuenta, comenzando con un cuestionario previo a la lección, luego leyendo la lección y completando el resto de las actividades. Intenta crear los proyectos comprendiendo las lecciones en lugar de copiar el código de solución; sin embargo, ese código está disponible en las carpetas /solutions en cada lección basada en proyectos. Otra idea sería formar un grupo de estudio con amigos y revisar el contenido juntos. Para un estudio adicional, recomendamos [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
+> **[Estudiantes](https://aka.ms/student-page)**, para usar este currículo por tu cuenta, bifurca todo el repositorio y completa los ejercicios por tu cuenta, comenzando con un cuestionario previo a la lección, luego leyendo la lección y completando el resto de las actividades. Intenta crear los proyectos comprendiendo las lecciones en lugar de copiar el código de solución; sin embargo, ese código está disponible en las carpetas /solutions en cada lección orientada a proyectos. Otra idea sería formar un grupo de estudio con amigos y repasar el contenido juntos. Para un estudio más profundo, recomendamos [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Para una visión general en video de este curso, mira este video:  
+Para una visión general en video de este curso, consulta este video:  
 
 [![Video promocional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video promocional")  
 
-> 🎥 Haz clic en la imagen de arriba para ver un video sobre el proyecto.  
+> 🎥 ¡Haz clic en la imagen de arriba para ver un video sobre el proyecto!  
 
 ## Pedagogía  
 
-Hemos elegido dos principios pedagógicos al construir este currículo: asegurarnos de que sea basado en proyectos y que incluya cuestionarios frecuentes. Al final de esta serie, los estudiantes habrán construido un sistema de monitoreo y riego de plantas, un rastreador de vehículos, una configuración de fábrica inteligente para rastrear y verificar alimentos, y un temporizador de cocina controlado por voz, y habrán aprendido los conceptos básicos del Internet de las Cosas, incluyendo cómo escribir código para dispositivos, conectarse a la nube, analizar telemetría y ejecutar inteligencia artificial en el borde.  
+Hemos elegido dos principios pedagógicos al construir este currículo: asegurarnos de que sea basado en proyectos y que incluya cuestionarios frecuentes. Al final de esta serie, los estudiantes habrán construido un sistema de monitoreo y riego de plantas, un rastreador de vehículos, una configuración de fábrica inteligente para rastrear y verificar alimentos, y un temporizador de cocina controlado por voz, y habrán aprendido los conceptos básicos del Internet de las Cosas, incluyendo cómo escribir código para dispositivos, conectarse a la nube, analizar telemetría y ejecutar IA en el borde.  
 
 Al asegurarnos de que el contenido esté alineado con proyectos, el proceso se vuelve más atractivo para los estudiantes y se mejora la retención de conceptos.  
 
 Además, un cuestionario de bajo riesgo antes de una clase establece la intención del estudiante hacia el aprendizaje de un tema, mientras que un segundo cuestionario después de la clase asegura una mayor retención. Este currículo fue diseñado para ser flexible y divertido y puede tomarse en su totalidad o en parte. Los proyectos comienzan pequeños y se vuelven cada vez más complejos al final del ciclo de 12 semanas.  
 
-Cada proyecto está basado en hardware real disponible para estudiantes y aficionados. Cada proyecto analiza el dominio específico del proyecto, proporcionando conocimientos relevantes. Para ser un desarrollador exitoso, es útil entender el dominio en el que estás resolviendo problemas; proporcionar este conocimiento de fondo permite a los estudiantes pensar en sus soluciones de IoT y aprendizajes en el contexto del tipo de problema real que podrían ser llamados a resolver como desarrolladores de IoT. Los estudiantes aprenden el 'por qué' de las soluciones que están construyendo y obtienen una apreciación del usuario final.  
+Cada proyecto se basa en hardware del mundo real disponible para estudiantes y aficionados. Cada proyecto analiza el dominio específico del proyecto, proporcionando conocimientos relevantes. Para ser un desarrollador exitoso, es útil entender el dominio en el que estás resolviendo problemas; proporcionar este conocimiento de fondo permite a los estudiantes pensar en sus soluciones de IoT y aprendizajes en el contexto del tipo de problema del mundo real que podrían ser llamados a resolver como desarrolladores de IoT. Los estudiantes aprenden el 'por qué' de las soluciones que están construyendo y obtienen una apreciación del usuario final.  
 
 ## Hardware  
 
-Tenemos dos opciones de hardware IoT para usar en los proyectos dependiendo de las preferencias personales, el conocimiento del lenguaje de programación o las metas de aprendizaje y la disponibilidad. También hemos proporcionado una versión de 'hardware virtual' para aquellos que no tienen acceso a hardware o quieren aprender más antes de comprometerse con una compra. Puedes leer más y encontrar una 'lista de compras' en la [página de hardware](./hardware.md), incluyendo enlaces para comprar kits completos de nuestros amigos en Seeed Studio.  
+Tenemos dos opciones de hardware IoT para usar en los proyectos dependiendo de la preferencia personal, el conocimiento o preferencias del lenguaje de programación, los objetivos de aprendizaje y la disponibilidad. También hemos proporcionado una versión de 'hardware virtual' para aquellos que no tienen acceso a hardware o quieren aprender más antes de comprometerse a una compra. Puedes leer más y encontrar una 'lista de compras' en la [página de hardware](./hardware.md), incluyendo enlaces para comprar kits completos de nuestros amigos en Seeed Studio.  
 
-> 💁 Encuentra nuestro [Código de Conducta](CODE_OF_CONDUCT.md), [Contribuciones](CONTRIBUTING.md), y [Directrices de Traducción](TRANSLATIONS.md). ¡Agradecemos tus comentarios constructivos!  
+> 💁 Encuentra nuestro [Código de Conducta](CODE_OF_CONDUCT.md), [Contribuciones](CONTRIBUTING.md), y pautas de [Traducción](TRANSLATIONS.md). ¡Agradecemos tus comentarios constructivos!  
 
 ## Cada lección incluye:  
 
 - sketchnote  
-- video opcional complementario  
+- video suplementario opcional  
 - cuestionario de calentamiento previo a la lección  
 - lección escrita  
 - para lecciones basadas en proyectos, guías paso a paso sobre cómo construir el proyecto  
 - comprobaciones de conocimiento  
 - un desafío  
-- lectura complementaria  
+- lectura suplementaria  
 - tarea  
 - [cuestionario posterior a la lección](https://ff-quizzes.netlify.app/en/)  
-
-> **Una nota sobre los cuestionarios**: Todos los cuestionarios están contenidos en la carpeta quiz-app, para un total de 48 cuestionarios de tres preguntas cada uno. Están vinculados desde dentro de las lecciones, pero la aplicación de cuestionarios puede ejecutarse localmente o desplegarse en Azure; sigue las instrucciones en la carpeta `quiz-app`. Se están localizando gradualmente.  
-
-## Lecciones  
-
-|       |              Nombre del Proyecto              |                       Conceptos Enseñados                       | Objetivos de Aprendizaje                                                                                                                                                 |                                                        Lección Vinculada                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
-|  01   | [Comenzando](./1-getting-started/README.md) |                     Introducción al IoT                     | Aprende los principios básicos del IoT y los elementos fundamentales de las soluciones IoT como sensores y servicios en la nube mientras configuras tu primer dispositivo IoT |                      [Introducción al IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Comenzando](./1-getting-started/README.md) |                   Un análisis más profundo del IoT                    | Aprende más sobre los componentes de un sistema IoT, así como sobre microcontroladores y computadoras de placa única                                                            |                        [Un análisis más profundo del IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Comenzando](./1-getting-started/README.md) | Interactúa con el mundo físico usando sensores y actuadores | Aprende sobre sensores para recopilar datos del mundo físico y actuadores para enviar retroalimentación, mientras construyes una luz nocturna                                           | [Interactúa con el mundo físico usando sensores y actuadores](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Comenzando](./1-getting-started/README.md) |             Conecta tu dispositivo a Internet             | Aprende cómo conectar un dispositivo IoT a Internet para enviar y recibir mensajes conectando tu luz nocturna a un broker MQTT                               |               [Conecta tu dispositivo a Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Granja](./2-farm/README.md)            |                    Predecir el crecimiento de plantas                     | Aprende cómo predecir el crecimiento de plantas utilizando datos de temperatura capturados por un dispositivo IoT                                                                                  |                          [Predecir el crecimiento de plantas](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Granja](./2-farm/README.md)            |                    Detectar humedad del suelo                     | Aprende cómo detectar la humedad del suelo y calibrar un sensor de humedad del suelo                                                                                              |                          [Detectar humedad del suelo](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Granja](./2-farm/README.md)            |                  Riego automatizado de plantas                   | Aprende cómo automatizar y programar el riego utilizando un relé y MQTT                                                                                                      |                      [Riego automatizado de plantas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Granja](./2-farm/README.md)            |               Migra tu planta a la nube               | Aprende sobre la nube y los servicios IoT alojados en la nube y cómo conectar tu planta a uno de estos en lugar de un broker MQTT público                                   |               [Migra tu planta a la nube](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Granja](./2-farm/README.md)            |         Migra la lógica de tu aplicación a la nube         | Aprende cómo escribir lógica de aplicación en la nube que responda a mensajes IoT                                                                          |         [Migra la lógica de tu aplicación a la nube](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Granja](./2-farm/README.md)            |                   Mantén tu planta segura                    | Aprende sobre seguridad en IoT y cómo mantener tu planta segura con claves y certificados                                                                          |                        [Mantén tu planta segura](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transporte](./3-transport/README.md)       |                      Seguimiento de ubicación                      | Aprende sobre el seguimiento de ubicación GPS para dispositivos IoT                                                                                                                   |                           [Seguimiento de ubicación](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transporte](./3-transport/README.md)       |                     Almacenar datos de ubicación                     | Aprende cómo almacenar datos IoT para visualizarlos o analizarlos más tarde                                                                                                      |                         [Almacenar datos de ubicación](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transporte](./3-transport/README.md)       |                   Visualizar datos de ubicación                   | Aprende sobre cómo visualizar datos de ubicación en un mapa y cómo los mapas representan el mundo real en 3D en dos dimensiones                                                            |                     [Visualizar datos de ubicación](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transporte](./3-transport/README.md)       |                          Geocercas                          | Aprende sobre geocercas y cómo pueden usarse para alertar cuando los vehículos en la cadena de suministro están cerca de su destino                                           |                                   [Geocercas](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufactura](./4-manufacturing/README.md)   |               Entrenar un detector de calidad de frutas                | Aprende cómo entrenar un clasificador de imágenes en la nube para detectar la calidad de las frutas                                                                                       |                 [Entrenar un detector de calidad de frutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufactura](./4-manufacturing/README.md)   |           Verificar la calidad de frutas desde un dispositivo IoT            | Aprende cómo usar tu detector de calidad de frutas desde un dispositivo IoT                                                                                                    |           [Verificar la calidad de frutas desde un dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Manufactura](./4-manufacturing/README.md)   |             Ejecutar tu detector de frutas en el borde             | Aprende cómo ejecutar tu detector de frutas en un dispositivo IoT en el borde                                                                                                |             [Ejecutar tu detector de frutas en el borde](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufactura](./4-manufacturing/README.md)   |        Activar la detección de calidad de frutas desde un sensor        | Aprende cómo activar la detección de calidad de frutas desde un sensor                                                                                                        |        [Activar la detección de calidad de frutas desde un sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Retail](./5-retail/README.md)          |                   Entrenar un detector de inventario                    | Aprende cómo usar la detección de objetos para entrenar un detector de inventario y contar existencias en una tienda                                                                                |                        [Entrenar un detector de inventario](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Retail](./5-retail/README.md)          |               Verificar inventario desde un dispositivo IoT                | Aprende cómo verificar inventario desde un dispositivo IoT utilizando un modelo de detección de objetos                                                                                         |                     [Verificar inventario desde un dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumidor](./6-consumer/README.md)        |             Reconocer voz con un dispositivo IoT             | Aprende cómo reconocer voz desde un dispositivo IoT para construir un temporizador inteligente                                                                                             |                  [Reconocer voz con un dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consumidor](./6-consumer/README.md)        |                     Comprender lenguaje                     | Aprende cómo comprender frases habladas a un dispositivo IoT                                                                                                           |                        [Comprender lenguaje](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumidor](./6-consumer/README.md)        |           Configurar un temporizador y proporcionar retroalimentación hablada           | Aprende cómo configurar un temporizador en un dispositivo IoT y dar retroalimentación hablada sobre cuándo se configura y cuándo termina                                                    |                 [Configurar un temporizador y proporcionar retroalimentación hablada](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumidor](./6-consumer/README.md)        |                 Soportar múltiples idiomas                  | Aprende cómo soportar múltiples idiomas, tanto para ser hablados como para las respuestas de tu temporizador inteligente                                                               |                   [Soportar múltiples idiomas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+> **Una nota sobre los cuestionarios**: Todos los cuestionarios están contenidos en la carpeta quiz-app, con un total de 48 cuestionarios de tres preguntas cada uno. Están vinculados desde las lecciones, pero la aplicación de cuestionarios puede ejecutarse localmente o desplegarse en Azure; sigue las instrucciones en la carpeta `quiz-app`. Se están localizando gradualmente.
+
+## Lecciones
+
+|       |              Nombre del Proyecto              |                       Conceptos Enseñados                       | Objetivos de Aprendizaje                                                                                                                                           |                                                        Lección Vinculada                                                         |
+| :---: | :-------------------------------------------: | :-------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :-------------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Introducción](./1-getting-started/README.md) |                     Introducción al IoT                        | Aprende los principios básicos del IoT y los componentes fundamentales de las soluciones IoT, como sensores y servicios en la nube, mientras configuras tu primer dispositivo IoT |                      [Introducción al IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                          |
+|  02   | [Introducción](./1-getting-started/README.md) |                   Un análisis más profundo del IoT              | Aprende más sobre los componentes de un sistema IoT, así como sobre microcontroladores y computadoras de placa única                                                |                        [Un análisis más profundo del IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                   |
+|  03   | [Introducción](./1-getting-started/README.md) | Interactúa con el mundo físico con sensores y actuadores        | Aprende sobre sensores para recopilar datos del mundo físico y actuadores para enviar retroalimentación, mientras construyes una luz nocturna                       | [Interactúa con el mundo físico con sensores y actuadores](./1-getting-started/lessons/3-sensors-and-actuators/README.md)       |
+|  04   | [Introducción](./1-getting-started/README.md) |             Conecta tu dispositivo a Internet                  | Aprende cómo conectar un dispositivo IoT a Internet para enviar y recibir mensajes conectando tu luz nocturna a un broker MQTT                                      |               [Conecta tu dispositivo a Internet](./1-getting-started/lessons/4-connect-internet/README.md)                     |
+|  05   |            [Granja](./2-farm/README.md)            |                    Predecir el crecimiento de plantas           | Aprende cómo predecir el crecimiento de plantas utilizando datos de temperatura capturados por un dispositivo IoT                                                   |                          [Predecir el crecimiento de plantas](./2-farm/lessons/1-predict-plant-growth/README.md)                |
+|  06   |            [Granja](./2-farm/README.md)            |                    Detectar humedad del suelo                  | Aprende cómo detectar la humedad del suelo y calibrar un sensor de humedad del suelo                                                                                |                          [Detectar humedad del suelo](./2-farm/lessons/2-detect-soil-moisture/README.md)                        |
+|  07   |            [Granja](./2-farm/README.md)            |                  Riego automatizado de plantas                 | Aprende cómo automatizar y programar el riego utilizando un relé y MQTT                                                                                            |                      [Riego automatizado de plantas](./2-farm/lessons/3-automated-plant-watering/README.md)                     |
+|  08   |            [Granja](./2-farm/README.md)            |               Migra tu planta a la nube                        | Aprende sobre la nube y los servicios IoT alojados en la nube, y cómo conectar tu planta a uno de estos en lugar de un broker MQTT público                          |               [Migra tu planta a la nube](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                        |
+|  09   |            [Granja](./2-farm/README.md)            |         Migra la lógica de tu aplicación a la nube             | Aprende cómo escribir lógica de aplicación en la nube que responda a mensajes IoT                                                                                   |         [Migra la lógica de tu aplicación a la nube](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)             |
+|  10   |            [Granja](./2-farm/README.md)            |                   Mantén tu planta segura                      | Aprende sobre seguridad en IoT y cómo mantener tu planta segura con claves y certificados                                                                           |                        [Mantén tu planta segura](./2-farm/lessons/6-keep-your-plant-secure/README.md)                           |
+|  11   |       [Transporte](./3-transport/README.md)       |                      Seguimiento de ubicación                  | Aprende sobre el seguimiento de ubicación GPS para dispositivos IoT                                                                                                 |                           [Seguimiento de ubicación](./3-transport/lessons/1-location-tracking/README.md)                       |
+|  12   |       [Transporte](./3-transport/README.md)       |                     Almacenar datos de ubicación               | Aprende cómo almacenar datos IoT para visualizarlos o analizarlos posteriormente                                                                                   |                         [Almacenar datos de ubicación](./3-transport/lessons/2-store-location-data/README.md)                   |
+|  13   |       [Transporte](./3-transport/README.md)       |                   Visualizar datos de ubicación                | Aprende sobre cómo visualizar datos de ubicación en un mapa y cómo los mapas representan el mundo real en 3D en dos dimensiones                                     |                     [Visualizar datos de ubicación](./3-transport/lessons/3-visualize-location-data/README.md)                  |
+|  14   |       [Transporte](./3-transport/README.md)       |                          Geocercas                             | Aprende sobre geocercas y cómo pueden usarse para alertar cuando los vehículos en la cadena de suministro están cerca de su destino                                 |                                   [Geocercas](./3-transport/lessons/4-geofences/README.md)                                       |
+|  15   |   [Manufactura](./4-manufacturing/README.md)      |               Entrenar un detector de calidad de frutas        | Aprende sobre cómo entrenar un clasificador de imágenes en la nube para detectar la calidad de las frutas                                                          |                 [Entrenar un detector de calidad de frutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)         |
+|  16   |   [Manufactura](./4-manufacturing/README.md)      |           Verificar la calidad de frutas desde un dispositivo IoT | Aprende cómo usar tu detector de calidad de frutas desde un dispositivo IoT                                                                                         |           [Verificar la calidad de frutas desde un dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
+|  17   |   [Manufactura](./4-manufacturing/README.md)      |             Ejecutar tu detector de frutas en el borde         | Aprende cómo ejecutar tu detector de frutas en un dispositivo IoT en el borde                                                                                      |             [Ejecutar tu detector de frutas en el borde](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)         |
+|  18   |   [Manufactura](./4-manufacturing/README.md)      |        Activar la detección de calidad de frutas desde un sensor | Aprende cómo activar la detección de calidad de frutas desde un sensor                                                                                             |        [Activar la detección de calidad de frutas desde un sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
+|  19   |          [Retail](./5-retail/README.md)          |                   Entrenar un detector de inventario           | Aprende cómo usar la detección de objetos para entrenar un detector de inventario y contar existencias en una tienda                                               |                        [Entrenar un detector de inventario](./5-retail/lessons/1-train-stock-detector/README.md)                |
+|  20   |          [Retail](./5-retail/README.md)          |               Verificar inventario desde un dispositivo IoT    | Aprende cómo verificar inventario desde un dispositivo IoT utilizando un modelo de detección de objetos                                                            |                     [Verificar inventario desde un dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)          |
+|  21   |        [Consumidor](./6-consumer/README.md)       |             Reconocer voz con un dispositivo IoT               | Aprende cómo reconocer voz desde un dispositivo IoT para construir un temporizador inteligente                                                                     |                  [Reconocer voz con un dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)                    |
+|  22   |        [Consumidor](./6-consumer/README.md)       |                     Comprender lenguaje                        | Aprende cómo comprender frases habladas a un dispositivo IoT                                                                                                       |                        [Comprender lenguaje](./6-consumer/lessons/2-language-understanding/README.md)                          |
+|  23   |        [Consumidor](./6-consumer/README.md)       |           Configurar un temporizador y proporcionar retroalimentación hablada | Aprende cómo configurar un temporizador en un dispositivo IoT y dar retroalimentación hablada sobre cuándo se configura y cuándo termina                            |                 [Configurar un temporizador y proporcionar retroalimentación hablada](./6-consumer/lessons/3-spoken-feedback/README.md) |
+|  24   |        [Consumidor](./6-consumer/README.md)       |                 Soportar múltiples idiomas                     | Aprende cómo soportar múltiples idiomas, tanto los que se hablan como las respuestas de tu temporizador inteligente                                                 |                   [Soportar múltiples idiomas](./6-consumer/lessons/4-multiple-language-support/README.md)                      |
 
 ## Acceso sin conexión
 
@@ -129,11 +137,11 @@ Puedes ejecutar esta documentación sin conexión utilizando [Docsify](https://d
 
 ## Cuestionario
 
-Gracias a la comunidad por alojar el cuestionario interactivo que prueba tus conocimientos sobre cada uno de los capítulos. Puedes probar tus conocimientos [aquí](https://ff-quizzes.netlify.app/en/) 
+Gracias a la comunidad por alojar el cuestionario interactivo que evalúa tu conocimiento sobre cada uno de los capítulos. Puedes evaluar tu conocimiento [aquí](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Puedes generar un PDF de este contenido para acceso sin conexión si lo necesitas. Para hacerlo, asegúrate de tener [npm instalado](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) y ejecuta los siguientes comandos en la carpeta raíz de este repositorio:
+Puedes generar un PDF de este contenido para acceso sin conexión si es necesario. Para hacerlo, asegúrate de tener [npm instalado](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) y ejecuta los siguientes comandos en la carpeta raíz de este repositorio:
 
 ```sh
 npm i
@@ -144,49 +152,50 @@ npm run convert
 
 Hay presentaciones para algunas de las lecciones en la carpeta [slides](../../slides).
 
-
 ## Otros Currículos
 
 ¡Nuestro equipo produce otros currículos! Mira:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agentes
-[![AZD para Principiantes](https://img.shields.io/badge/AZD%20para%20Principiantes-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI para Principiantes](https://img.shields.io/badge/Edge%20AI%20para%20Principiantes-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP para Principiantes](https://img.shields.io/badge/MCP%20para%20Principiantes-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Agentes de IA para Principiantes](https://img.shields.io/badge/Agentes%20de%20IA%20para%20Principiantes-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD para Principiantes](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI para Principiantes](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP para Principiantes](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Agentes de IA para Principiantes](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Serie de IA Generativa
-[![IA Generativa para Principiantes](https://img.shields.io/badge/IA%20Generativa%20para%20Principiantes-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![IA Generativa (.NET)](https://img.shields.io/badge/IA%20Generativa%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![IA Generativa (Java)](https://img.shields.io/badge/IA%20Generativa%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![IA Generativa (JavaScript)](https://img.shields.io/badge/IA%20Generativa%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa para Principiantes](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![IA Generativa (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Aprendizaje Central
-[![ML para Principiantes](https://img.shields.io/badge/ML%20para%20Principiantes-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Ciencia de Datos para Principiantes](https://img.shields.io/badge/Ciencia%20de%20Datos%20para%20Principiantes-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IA para Principiantes](https://img.shields.io/badge/IA%20para%20Principiantes-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Ciberseguridad para Principiantes](https://img.shields.io/badge/Ciberseguridad%20para%20Principiantes-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Desarrollo Web para Principiantes](https://img.shields.io/badge/Desarrollo%20Web%20para%20Principiantes-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT para Principiantes](https://img.shields.io/badge/IoT%20para%20Principiantes-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Desarrollo XR para Principiantes](https://img.shields.io/badge/Desarrollo%20XR%20para%20Principiantes-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Aprendizaje Básico
+[![ML para Principiantes](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Ciencia de Datos para Principiantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA para Principiantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Ciberseguridad para Principiantes](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Desarrollo Web para Principiantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT para Principiantes](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Desarrollo XR para Principiantes](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Serie Copilot  
-[![Copilot para Programación en Pareja con IA](https://img.shields.io/badge/Copilot%20para%20Programación%20en%20Pareja%20con%20IA-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20para%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Aventura Copilot](https://img.shields.io/badge/Aventura%20Copilot-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Serie Copilot
+[![Copilot para Programación en Pareja con IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Atribuciones de imágenes  
+## Atribuciones de imágenes
 
-Puedes encontrar todas las atribuciones de las imágenes utilizadas en este currículo donde sea necesario en el archivo [Atribuciones](./attributions.md).  
+Puedes encontrar todas las atribuciones de las imágenes utilizadas en este currículo donde sea necesario en [Atribuciones](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Descargo de responsabilidad**:  
-Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Aunque nos esforzamos por lograr precisión, tenga en cuenta que las traducciones automáticas pueden contener errores o imprecisiones. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por humanos. No nos hacemos responsables de malentendidos o interpretaciones erróneas que surjan del uso de esta traducción.
\ No newline at end of file
+Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Si bien nos esforzamos por lograr precisión, tenga en cuenta que las traducciones automáticas pueden contener errores o imprecisiones. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por humanos. No nos hacemos responsables de malentendidos o interpretaciones erróneas que surjan del uso de esta traducción.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/et/README.md b/translations/et/README.md
index 5d8a3b7f8..ce21f094b 100644
--- a/translations/et/README.md
+++ b/translations/et/README.md
@@ -1,142 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
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-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:31:49+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:18:47+00:00",
   "source_file": "README.md",
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 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub litsents](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub kaastöötajad](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub probleemid](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub tõmbepäringud](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PR-d on teretulnud](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub jälgijad](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub harud](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub tähed](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Liitu Azure AI Foundry kogukonnaga 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Liitu Azure AI Foundry kogukonnaga  
 
-Järgi neid samme, et alustada nende ressursside kasutamist:
-1. **Forki repositoorium**: Klõpsa [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klooni repositoorium**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Liitu Azure AI Foundry Discordiga ja kohtume ekspertide ning teiste arendajatega**](https://discord.com/invite/ByRwuEEgH4)
+Kui jääd hätta või sul on küsimusi AI rakenduste loomise kohta, liitu teiste õppijate ja kogenud arendajatega MCP aruteludes. See on toetav kogukond, kus küsimused on teretulnud ja teadmisi jagatakse vabalt.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Mitmekeelne tugi
+Kui sul on tagasisidet toodete kohta või esineb vigu, külastage:  
 
-#### Toetatud GitHub Actioni kaudu (Automatiseeritud ja alati ajakohane)
+[![Microsoft Foundry arendajate foorum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Araabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Hiina (lihtsustatud)](../zh/README.md) | [Hiina (traditsiooniline, Hongkong)](../hk/README.md) | [Hiina (traditsiooniline, Macau)](../mo/README.md) | [Hiina (traditsiooniline, Taiwan)](../tw/README.md) | [Horvaatia](../hr/README.md) | [Tšehhi](../cs/README.md) | [Taani](../da/README.md) | [Hollandi](../nl/README.md) | [Eesti](./README.md) | [Soome](../fi/README.md) | [Prantsuse](../fr/README.md) | [Saksa](../de/README.md) | [Kreeka](../el/README.md) | [Heebrea](../he/README.md) | [Hindi](../hi/README.md) | [Ungari](../hu/README.md) | [Indoneesia](../id/README.md) | [Itaalia](../it/README.md) | [Jaapani](../ja/README.md) | [Korea](../ko/README.md) | [Leedu](../lt/README.md) | [Malai](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norra](../no/README.md) | [Pärsia (Farsi)](../fa/README.md) | [Poola](../pl/README.md) | [Portugali (Brasiilia)](../br/README.md) | [Portugali (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeenia](../ro/README.md) | [Vene](../ru/README.md) | [Serbia (kirillitsa)](../sr/README.md) | [Slovaki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Hispaania](../es/README.md) | [Suahiili](../sw/README.md) | [Rootsi](../sv/README.md) | [Tagalogi (Filipino)](../tl/README.md) | [Tamili](../ta/README.md) | [Tai](../th/README.md) | [Türgi](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnami](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Järgi neid samme, et alustada nende ressursside kasutamist:  
+1. **Forki repositoorium**: Klõpsa [![GitHub harud](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klooni repositoorium**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Liitu Microsoft Foundry Discordiga ja kohtume ekspertide ja teiste arendajatega**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT algajatele - õppekava
+### 🌐 Mitmekeelne tugi  
 
-Microsofti Azure Cloud Advocates pakub rõõmuga 12-nädalast, 24-õppetunniga õppekava, mis käsitleb IoT põhitõdesid. Iga õppetund sisaldab eeltunde ja järelteste, kirjalikke juhiseid õppetunni läbiviimiseks, lahendusi, ülesandeid ja palju muud. Meie projektipõhine pedagoogika võimaldab õppida läbi praktilise tegevuse, mis on tõestatud viis uute oskuste omandamiseks.
+#### Toetatud GitHub Actioni kaudu (Automatiseeritud ja alati ajakohane)  
 
-Projektid hõlmavad toidu teekonda farmist lauale. See hõlmab põllumajandust, logistikat, tootmist, jaemüüki ja tarbijat - kõik populaarsed tööstusvaldkonnad IoT seadmete jaoks.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Araabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Hiina (lihtsustatud)](../zh/README.md) | [Hiina (traditsiooniline, Hongkong)](../hk/README.md) | [Hiina (traditsiooniline, Macau)](../mo/README.md) | [Hiina (traditsiooniline, Taiwan)](../tw/README.md) | [Horvaatia](../hr/README.md) | [Tšehhi](../cs/README.md) | [Taani](../da/README.md) | [Hollandi](../nl/README.md) | [Eesti](./README.md) | [Soome](../fi/README.md) | [Prantsuse](../fr/README.md) | [Saksa](../de/README.md) | [Kreeka](../el/README.md) | [Heebrea](../he/README.md) | [Hindi](../hi/README.md) | [Ungari](../hu/README.md) | [Indoneesia](../id/README.md) | [Itaalia](../it/README.md) | [Jaapani](../ja/README.md) | [Korea](../ko/README.md) | [Leedu](../lt/README.md) | [Malai](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeeria pidgin](../pcm/README.md) | [Norra](../no/README.md) | [Pärsia (Farsi)](../fa/README.md) | [Poola](../pl/README.md) | [Portugali (Brasiilia)](../br/README.md) | [Portugali (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeenia](../ro/README.md) | [Vene](../ru/README.md) | [Serbia (kirillitsa)](../sr/README.md) | [Slovaki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Hispaania](../es/README.md) | [Suahiili](../sw/README.md) | [Rootsi](../sv/README.md) | [Tagalogi (Filipino)](../tl/README.md) | [Tamili](../ta/README.md) | [Tai](../th/README.md) | [Türgi](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnami](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![Kursuse teekaart, mis näitab 24 õppetundi, mis hõlmavad sissejuhatust, põllumajandust, transporti, töötlemist, jaemüüki ja toiduvalmistamist](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.et.jpg)
+# IoT algajatele - õppekava  
 
-> Sketšmärkus autorilt [Nitya Narasimhan](https://github.com/nitya). Klõpsa pildil, et näha suuremat versiooni.
+Microsofti Azure Cloud Advocates pakub rõõmuga 12-nädalast, 24-õppetunniga õppekava, mis käsitleb IoT põhitõdesid. Iga õppetund sisaldab eel- ja järeltesti, kirjalikke juhiseid õppetunni läbimiseks, lahendust, ülesannet ja palju muud. Meie projektipõhine lähenemine võimaldab õppida praktiliselt, mis on tõestatud viis uute oskuste omandamiseks.  
 
-**Südamlik tänu meie autoritele [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ja meie sketšmärkus kunstnikule [Nitya Narasimhan](https://github.com/nitya).**
+Projektid hõlmavad toidu teekonda farmist lauale. See hõlmab põllumajandust, logistikat, tootmist, jaemüüki ja tarbijat - kõik populaarsed tööstusvaldkonnad IoT seadmete jaoks.  
 
-**Samuti tänu meie [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) meeskonnale, kes on seda õppekava üle vaadanud ja tõlkinud - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) ja [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![Kursuse teekaart, mis näitab 24 õppetundi, hõlmates sissejuhatust, põllumajandust, transporti, töötlemist, jaemüüki ja toiduvalmistamist](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.et.jpg)  
 
-Tutvu meeskonnaga!
+> Sketšmärkus autorilt [Nitya Narasimhan](https://github.com/nitya). Klõpsa pildil, et näha suuremat versiooni.  
 
-[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Südamlik tänu meie autoritele [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ja meie sketšmärkus kunstnikule [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif autorilt** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Samuti tänu meie [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) meeskonnale, kes on seda õppekava üle vaadanud ja tõlkinud - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) ja [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Klõpsa ülaloleval pildil, et vaadata videot projektist!
+Tutvu meeskonnaga!  
 
-> **Õpetajad**, oleme [lisanud mõned soovitused](for-teachers.md), kuidas seda õppekava kasutada. Kui soovite luua oma õppetunde, oleme lisanud ka [õppetunni malli](lesson-template/README.md).
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Õpilased](https://aka.ms/student-page)**, et kasutada seda õppekava iseseisvalt, forkige kogu repositoorium ja täitke harjutused iseseisvalt, alustades eelloengu testist, seejärel lugedes loengut ja täites ülejäänud tegevused. Proovige projekte luua, mõistes õppetunde, mitte kopeerides lahenduskoodi; siiski on see kood saadaval /solutions kaustades igas projektipõhises õppetunnis. Teine idee oleks moodustada sõpradega õpperühm ja läbida sisu koos. Edasiseks õppimiseks soovitame [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+**Gif autorilt** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-Kursuse videoülevaate saamiseks vaadake seda videot:
+> 🎥 Klõpsa ülaloleval pildil, et näha videot projektist!  
 
-[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> **Õpetajad**, oleme [lisanud mõned soovitused](for-teachers.md), kuidas seda õppekava kasutada. Kui soovite luua oma õppetunde, oleme lisanud ka [õppetunni malli](lesson-template/README.md).  
 
-> 🎥 Klõpsa ülaloleval pildil, et vaadata videot projektist!
+> **[Õpilased](https://aka.ms/student-page)**, et kasutada seda õppekava iseseisvalt, forkige kogu repo ja täitke harjutused iseseisvalt, alustades eeltestist, seejärel lugedes loengut ja täites ülejäänud tegevused. Proovige projekte luua, mõistes õppetunde, mitte kopeerides lahenduskoodi; siiski on see kood saadaval /solutions kaustades igas projektipõhises õppetunnis. Teine idee oleks moodustada õppegrupp sõpradega ja läbida sisu koos. Edasiseks õppimiseks soovitame [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-## Pedagoogika
+Kursuse videoülevaate jaoks vaadake seda videot:  
 
-Selle õppekava loomisel oleme valinud kaks pedagoogilist põhimõtet: tagada, et see on projektipõhine ja sisaldab sagedasi teste. Selle sarja lõpuks on õpilased loonud taime jälgimise ja kastmissüsteemi, sõiduki jälgija, nutika tehase seadistuse toidu jälgimiseks ja kontrollimiseks ning hääljuhtimisega toiduvalmistamise taimeri. Samuti õpivad nad asjade interneti põhitõdesid, sealhulgas seadmekoodi kirjutamist, pilvega ühendamist, telemeetria analüüsimist ja tehisintellekti kasutamist servas.
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-Tagades, et sisu on seotud projektidega, muutub protsess õpilastele kaasahaaravamaks ja kontseptsioonide omandamine paraneb.
+> 🎥 Klõpsa ülaloleval pildil, et näha videot projektist!  
 
-Lisaks madala panusega test enne tundi suunab õpilase tähelepanu teema õppimisele, samas kui teine test pärast tundi tagab edasise omandamise. See õppekava on loodud paindlikuks ja lõbusaks ning seda saab läbida tervikuna või osaliselt. Projektid algavad väikestest ja muutuvad 12-nädalase tsükli lõpuks järjest keerukamaks.
+## Pedagoogika  
 
-Iga projekt põhineb reaalsel riistvaral, mis on kättesaadav õpilastele ja harrastajatele. Iga projekt uurib konkreetset projektivaldkonda, pakkudes asjakohast taustateavet. Edukaks arendajaks saamiseks on kasulik mõista valdkonda, kus probleeme lahendatakse. Taustateabe pakkumine võimaldab õpilastel mõelda oma IoT lahendustele ja õpingutele reaalse maailma probleemi kontekstis, mida nad võivad IoT arendajana lahendada. Õpilased õpivad lahenduste "miks" ja saavad hinnata lõppkasutajat.
+Selle õppekava loomisel oleme valinud kaks pedagoogilist põhimõtet: tagada, et see on projektipõhine ja sisaldab sagedasi teste. Selle seeria lõpuks on õpilased loonud taime jälgimise ja kastmissüsteemi, sõiduki jälgija, nutika tehase seadistuse toidu jälgimiseks ja kontrollimiseks ning hääljuhtimisega toiduvalmistamise taimeri ning õppinud IoT põhitõdesid, sealhulgas seadmekoodi kirjutamist, pilvega ühendamist, telemeetria analüüsimist ja AI käitamist servas.  
 
-## Riistvara
+Tagades, et sisu vastab projektidele, muutub protsess õpilastele kaasahaaravamaks ja kontseptsioonide omandamine paraneb.  
 
-Meil on kaks valikut IoT riistvara kasutamiseks projektides, sõltuvalt isiklikest eelistustest, programmeerimiskeele teadmistest või eelistustest, õpieesmärkidest ja kättesaadavusest. Oleme pakkunud ka "virtuaalse riistvara" versiooni neile, kellel pole riistvarale juurdepääsu või kes soovivad enne ostu rohkem õppida. Rohkem teavet ja "ostunimekirja" leiate [riistvara lehelt](./hardware.md), sealhulgas lingid täielike komplektide ostmiseks meie sõpradelt Seeed Studio.
+Lisaks seab madala panusega test enne tundi õpilase kavatsuse õppida teemat, samas kui teine test pärast tundi tagab edasise omandamise. See õppekava on loodud paindlikuks ja lõbusaks ning seda saab võtta tervikuna või osaliselt. Projektid algavad väikestest ja muutuvad 12-nädalase tsükli lõpuks järjest keerukamaks.  
 
-> 💁 Leia meie [käitumisjuhend](CODE_OF_CONDUCT.md), [panustamise](CONTRIBUTING.md) ja [tõlkimise](TRANSLATIONS.md) juhised. Ootame teie konstruktiivset tagasisidet!
+Iga projekt põhineb reaalsel riistvaral, mis on kättesaadav õpilastele ja hobitegijatele. Iga projekt uurib konkreetset projektivaldkonda, pakkudes asjakohaseid taustateadmisi. Edukaks arendajaks saamiseks on kasulik mõista valdkonda, kus probleeme lahendatakse; taustateadmiste pakkumine võimaldab õpilastel mõelda oma IoT lahendustele ja õpingutele reaalse probleemi kontekstis, mida nad võivad IoT arendajana lahendada. Õpilased õpivad lahenduste "miks"-i ja saavad hinnata lõppkasutajat.  
 
-## Iga õppetund sisaldab:
+## Riistvara  
 
-- sketšmärkus
-- valikuline lisavideo
-- eeltunni soojendustest
-- kirjalik õppetund
-- projektipõhiste õppetundide puhul samm-sammult juhised projekti loomiseks
-- teadmiste kontroll
-- väljakutse
-- lisalugemine
-- ülesanne
-- [järeltunni test](https://ff-quizzes.netlify.app/en/)
+Meil on kaks valikut IoT riistvara projektide jaoks, sõltuvalt isiklikest eelistustest, programmeerimiskeele teadmistest või eelistustest, õppimise eesmärkidest ja kättesaadavusest. Oleme pakkunud ka "virtuaalse riistvara" versiooni neile, kellel pole riistvarale juurdepääsu või kes soovivad enne ostu rohkem õppida. Rohkem teavet ja "ostunimekirja" leiate [riistvara lehelt](./hardware.md), sealhulgas lingid täielike komplektide ostmiseks meie sõpradelt Seeed Studio'st.  
 
-> **Märkus testide kohta**: Kõik testid asuvad quiz-app kaustas, kokku 48 testi, millest igaüks sisaldab kolme küsimust. Need on lingitud õppetundidest, kuid testirakendust saab käivitada kohapeal või Azure'is; järgige juhiseid `quiz-app` kaustas. Need lokaliseeritakse järk-järgult.
+> 💁 Leia meie [käitumisjuhend](CODE_OF_CONDUCT.md), [kaastöö](CONTRIBUTING.md) ja [tõlkimise](TRANSLATIONS.md) juhised. Ootame teie konstruktiivset tagasisidet!  
+
+## Iga õppetund sisaldab:  
+
+- sketšmärkus  
+- valikuline lisavideo  
+- eeltest  
+- kirjalik õppetund  
+- projektipõhiste õppetundide puhul samm-sammult juhised projekti loomiseks  
+- teadmiste kontrollid  
+- väljakutse  
+- lisalugemine  
+- ülesanne  
+- [järeltundide test](https://ff-quizzes.netlify.app/en/)  
+> **Märkus viktoriinide kohta**: Kõik viktoriinid asuvad kaustas quiz-app, kokku 48 viktoriini, millest igaüks sisaldab kolme küsimust. Need on seotud õppetundidega, kuid viktoriinirakendust saab käivitada kohapeal või juurutada Azure'is; järgige juhiseid kaustas `quiz-app`. Need lokaliseeritakse järk-järgult.
 
 ## Õppetunnid
 
 |       |              Projekti nimi              |                       Õpetatavad kontseptsioonid                       | Õpieesmärgid                                                                                                                                                 |                                                        Lingitud õppetund                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Alustamine](./1-getting-started/README.md) |                     IoT sissejuhatus                     | Õpi IoT põhimõtteid ja IoT lahenduste põhikomponente, nagu sensorid ja pilveteenused, samal ajal kui seadistad oma esimest IoT seadet |                      [IoT sissejuhatus](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Alustamine](./1-getting-started/README.md) |                   Sügavam sukeldumine IoT-sse                    | Õpi rohkem IoT süsteemi komponentide, samuti mikrokontrollerite ja üheplaadi arvutite kohta                                                            |                        [Sügavam sukeldumine IoT-sse](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Alustamine](./1-getting-started/README.md) | Suhtle füüsilise maailmaga sensorite ja täiturite abil | Õpi sensorite kohta, et koguda andmeid füüsilisest maailmast, ja täiturite kohta, et saata tagasisidet, samal ajal kui ehitad öölampi                                           | [Suhtle füüsilise maailmaga sensorite ja täiturite abil](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Alustamine](./1-getting-started/README.md) |             Ühenda oma seade internetti             | Õpi, kuidas ühendada IoT seade internetti, et saata ja vastu võtta sõnumeid, ühendades oma öölambi MQTT brokeriga                               |               [Ühenda oma seade internetti](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    Ennusta taimekasvu                     | Õpi, kuidas ennustada taimekasvu, kasutades IoT seadme poolt kogutud temperatuurianmeid                                                                                  |                          [Ennusta taimekasvu](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farm](./2-farm/README.md)            |                    Tuvasta mulla niiskust                     | Õpi, kuidas tuvastada mulla niiskust ja kalibreerida mulla niiskuse sensorit                                                                                              |                          [Tuvasta mulla niiskust](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  Automaatne taimede kastmine                   | Õpi, kuidas automatiseerida ja ajastada kastmist, kasutades releed ja MQTT-d                                                                                                      |                      [Automaatne taimede kastmine](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farm](./2-farm/README.md)            |               Viige oma taim pilve               | Õpi pilve ja pilvepõhiste IoT teenuste kohta ning kuidas ühendada oma taim ühega neist avaliku MQTT brokeri asemel                                   |               [Viige oma taim pilve](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farm](./2-farm/README.md)            |         Viige oma rakendusloogika pilve         | Õpi, kuidas kirjutada rakendusloogikat pilves, mis reageerib IoT sõnumitele                                                                          |         [Viige oma rakendusloogika pilve](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Farm](./2-farm/README.md)            |                   Hoidke oma taim turvalisena                    | Õpi IoT turvalisuse kohta ja kuidas hoida oma taim turvalisena, kasutades võtmeid ja sertifikaate                                                                          |                        [Hoidke oma taim turvalisena](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Asukoha jälgimine                      | Õpi GPS-i asukoha jälgimise kohta IoT seadmete jaoks                                                                                                                   |                           [Asukoha jälgimine](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Asukohaandmete salvestamine                     | Õpi, kuidas salvestada IoT andmeid, et neid hiljem visualiseerida või analüüsida                                                                                                      |                         [Asukohaandmete salvestamine](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Asukohaandmete visualiseerimine                   | Õpi, kuidas visualiseerida asukohaandmeid kaardil ja kuidas kaardid kujutavad tegelikku 3D maailma 2D-s                                                            |                     [Asukohaandmete visualiseerimine](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geopiirded                          | Õpi geopiirete kohta ja kuidas neid saab kasutada, et teavitada, kui tarneahela sõidukid on sihtkohale lähedal                                           |                                   [Geopiirded](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Tootmine](./4-manufacturing/README.md)   |               Treeni puuvilja kvaliteedi tuvastajat                | Õpi, kuidas treenida pilves pildiklassifikaatorit puuvilja kvaliteedi tuvastamiseks                                                                                       |                 [Treeni puuvilja kvaliteedi tuvastajat](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Tootmine](./4-manufacturing/README.md)   |           Kontrolli puuvilja kvaliteeti IoT seadme abil            | Õpi, kuidas kasutada puuvilja kvaliteedi tuvastajat IoT seadme kaudu                                                                                                    |           [Kontrolli puuvilja kvaliteeti IoT seadme abil](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Tootmine](./4-manufacturing/README.md)   |             Käivita puuvilja tuvastaja ääre seadmel             | Õpi, kuidas käivitada puuvilja tuvastajat IoT seadmel ääre arvutuses                                                                                                |             [Käivita puuvilja tuvastaja ääre seadmel](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Tootmine](./4-manufacturing/README.md)   |        Käivita puuvilja kvaliteedi tuvastamine sensorilt        | Õpi, kuidas käivitada puuvilja kvaliteedi tuvastamine sensorilt                                                                                                        |        [Käivita puuvilja kvaliteedi tuvastamine sensorilt](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Jaekaubandus](./5-retail/README.md)          |                   Treeni laoseisu tuvastajat                    | Õpi, kuidas kasutada objektituvastust, et treenida laoseisu tuvastajat, mis loendab kaupluses laoseisu                                                                                |                        [Treeni laoseisu tuvastajat](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Jaekaubandus](./5-retail/README.md)          |               Kontrolli laoseisu IoT seadme abil                | Õpi, kuidas kontrollida laoseisu IoT seadme kaudu, kasutades objektituvastuse mudelit                                                                                         |                     [Kontrolli laoseisu IoT seadme abil](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Tarbijad](./6-consumer/README.md)        |             Tuvasta kõnet IoT seadme abil             | Õpi, kuidas tuvastada kõnet IoT seadme kaudu, et luua nutikas taimer                                                                                             |                  [Tuvasta kõnet IoT seadme abil](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Tarbijad](./6-consumer/README.md)        |                     Mõista keelt                     | Õpi, kuidas mõista IoT seadmele räägitud lauseid                                                                                                           |                        [Mõista keelt](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Tarbijad](./6-consumer/README.md)        |           Sea taimer ja anna kõne tagasisidet           | Õpi, kuidas seada taimer IoT seadmel ja anda kõne tagasisidet, millal taimer on seatud ja millal see lõpeb                                                    |                 [Sea taimer ja anna kõne tagasisidet](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Tarbijad](./6-consumer/README.md)        |                 Toeta mitut keelt                  | Õpi, kuidas toetada mitut keelt, nii rääkimisel kui ka vastustes oma nutika taimeri kaudu                                                               |                   [Toeta mitut keelt](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
-
-## Offline kasutamine
-
-Saad seda dokumentatsiooni kasutada ka võrguühenduseta, kasutades [Docsify](https://docsify.js.org/#/). Forki see repo, [paigalda Docsify](https://docsify.js.org/#/quickstart) oma kohalikku masinasse ja sisesta seejärel selle repo juurkaustas `docsify serve`. Veebisait teenindatakse pordil 3000 sinu localhostis: `localhost:3000`.
+|  01   | [Alustamine](./1-getting-started/README.md) |                     Sissejuhatus IoT-sse                     | Õpi IoT põhiprintsiipe ja IoT lahenduste põhielemente, nagu andurid ja pilveteenused, samal ajal kui seadistad oma esimest IoT-seadet |                      [Sissejuhatus IoT-sse](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Alustamine](./1-getting-started/README.md) |                   Sügavam sukeldumine IoT-sse                    | Õpi rohkem IoT-süsteemi komponentide, samuti mikrokontrollerite ja üheplaadiarvutite kohta                                                            |                        [Sügavam sukeldumine IoT-sse](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Alustamine](./1-getting-started/README.md) | Suhtlemine füüsilise maailmaga andurite ja täituritega | Õpi tundma andureid, et koguda andmeid füüsilisest maailmast, ja täitureid, et saata tagasisidet, samal ajal kui ehitad öölampi                                           | [Suhtlemine füüsilise maailmaga andurite ja täituritega](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Alustamine](./1-getting-started/README.md) |             Ühenda oma seade Internetiga             | Õpi, kuidas ühendada IoT-seade Internetiga, et saata ja vastu võtta sõnumeid, ühendades oma öölambi MQTT-brokeriga                               |               [Ühenda oma seade Internetiga](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Talu](./2-farm/README.md)            |                    Ennusta taimede kasvu                     | Õpi, kuidas ennustada taimede kasvu, kasutades IoT-seadme poolt kogutud temperatuurandmeid                                                                                  |                          [Ennusta taimede kasvu](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Talu](./2-farm/README.md)            |                    Tuvasta mulla niiskust                     | Õpi, kuidas tuvastada mulla niiskust ja kalibreerida mulla niiskuse andurit                                                                                              |                          [Tuvasta mulla niiskust](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Talu](./2-farm/README.md)            |                  Automaatne taimede kastmine                   | Õpi, kuidas automatiseerida ja ajastada kastmist, kasutades releed ja MQTT-d                                                                                                      |                      [Automaatne taimede kastmine](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Talu](./2-farm/README.md)            |               Viige oma taim pilve               | Õpi tundma pilve ja pilvepõhiseid IoT-teenuseid ning kuidas ühendada oma taim ühega neist avaliku MQTT-brokeri asemel                                   |               [Viige oma taim pilve](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Talu](./2-farm/README.md)            |         Viige oma rakendusloogika pilve         | Õpi, kuidas kirjutada rakendusloogikat pilves, mis reageerib IoT-sõnumitele                                                                          |         [Viige oma rakendusloogika pilve](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Talu](./2-farm/README.md)            |                   Hoidke oma taim turvalisena                    | Õpi IoT turvalisuse kohta ja kuidas hoida oma taim turvalisena võtmete ja sertifikaatidega                                                                          |                        [Hoidke oma taim turvalisena](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Asukoha jälgimine                      | Õpi GPS-i asukoha jälgimist IoT-seadmete jaoks                                                                                                                   |                           [Asukoha jälgimine](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Asukohaandmete salvestamine                     | Õpi, kuidas salvestada IoT-andmeid, et neid hiljem visualiseerida või analüüsida                                                                                                      |                         [Asukohaandmete salvestamine](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Asukohaandmete visualiseerimine                   | Õpi asukohaandmete visualiseerimist kaardil ja kuidas kaardid esindavad reaalset 3D-maailma 2D-s                                                            |                     [Asukohaandmete visualiseerimine](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geopiirded                          | Õpi geopiire ja kuidas neid kasutada, et teavitada, kui tarneahela sõidukid on sihtkohale lähedal                                           |                                   [Geopiirded](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Tootmine](./4-manufacturing/README.md)   |               Puuvilja kvaliteedi tuvastaja treenimine                | Õpi pilves pildiklassifikaatori treenimist puuvilja kvaliteedi tuvastamiseks                                                                                       |                 [Puuvilja kvaliteedi tuvastaja treenimine](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Tootmine](./4-manufacturing/README.md)   |           Puuvilja kvaliteedi kontroll IoT-seadmest            | Õpi, kuidas kasutada oma puuvilja kvaliteedi tuvastajat IoT-seadmest                                                                                                    |           [Puuvilja kvaliteedi kontroll IoT-seadmest](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Tootmine](./4-manufacturing/README.md)   |             Käivitage oma puuvilja tuvastaja ääres             | Õpi, kuidas käivitada oma puuvilja tuvastajat IoT-seadmel ääres                                                                                                |             [Käivitage oma puuvilja tuvastaja ääres](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Tootmine](./4-manufacturing/README.md)   |        Käivitage puuvilja kvaliteedi tuvastamine andurist        | Õpi, kuidas käivitada puuvilja kvaliteedi tuvastamine andurist                                                                                                        |        [Käivitage puuvilja kvaliteedi tuvastamine andurist](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Jaekaubandus](./5-retail/README.md)          |                   Lao tuvastaja treenimine                    | Õpi, kuidas kasutada objektituvastust, et treenida lao tuvastajat poe laoseisu loendamiseks                                                                                |                        [Lao tuvastaja treenimine](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Jaekaubandus](./5-retail/README.md)          |               Lao kontroll IoT-seadmest                | Õpi, kuidas kontrollida laoseisu IoT-seadmest, kasutades objektituvastusmudelit                                                                                         |                     [Lao kontroll IoT-seadmest](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Tarbija](./6-consumer/README.md)        |             Kõne tuvastamine IoT-seadmest             | Õpi, kuidas tuvastada kõnet IoT-seadmest, et luua nutikas taimer                                                                                             |                  [Kõne tuvastamine IoT-seadmest](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Tarbija](./6-consumer/README.md)        |                     Keele mõistmine                     | Õpi, kuidas mõista IoT-seadmele öeldud lauseid                                                                                                           |                        [Keele mõistmine](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Tarbija](./6-consumer/README.md)        |           Taimeri seadistamine ja kõne tagasiside andmine           | Õpi, kuidas seadistada IoT-seadmel taimerit ja anda kõne tagasisidet, millal taimer on seadistatud ja millal see lõpeb                                                    |                 [Taimeri seadistamine ja kõne tagasiside andmine](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Tarbija](./6-consumer/README.md)        |                 Mitme keele tugi                  | Õpi, kuidas toetada mitut keelt, nii et neid räägitakse kui ka vastuseid nutikast taimerist                                                               |                   [Mitme keele tugi](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+
+## Võrguta juurdepääs
+
+Seda dokumentatsiooni saab kasutada võrguühenduseta, kasutades [Docsify](https://docsify.js.org/#/). Forkige see repo, [installige Docsify](https://docsify.js.org/#/quickstart) oma kohalikku masinasse ja seejärel tippige selle repo juurkaustas `docsify serve`. Veebisait teenindatakse pordil 3000 teie localhostis: `localhost:3000`.
 
 ## Viktoriin
 
-Tänu kogukonnale on saadaval interaktiivne viktoriin, mis testib sinu teadmisi iga peatüki kohta. Testi oma teadmisi [siin](https://ff-quizzes.netlify.app/en/) 
+Tänu kogukonnale, kes korraldab interaktiivset viktoriini, mis testib teie teadmisi iga peatüki kohta. Te saate oma teadmisi testida [siin](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Saad vajadusel genereerida selle sisu PDF-i võrguühenduseta kasutamiseks. Selleks veendu, et sul on [npm paigaldatud](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ja käivita järgmised käsud selle repo juurkaustas:
+Vajadusel saate luua selle sisu PDF-i võrguühenduseta juurdepääsuks. Selleks veenduge, et teil on [npm installitud](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ja käivitage järgmised käsud selle repo juurkaustas:
 
 ```sh
 npm i
@@ -145,14 +150,12 @@ npm run convert
 
 ### Esitlused
 
-Mõnede õppetundide jaoks on olemas slaidide komplektid [slides](../../slides) kaustas.
-
+Mõne õppetunni jaoks on olemas slaidikomplektid kaustas [slides](../../slides).
 
 ## Muud õppekavad
 
-Meie meeskond koostab ka teisi õppekavasid! Vaata:
+Meie meeskond koostab ka teisi õppekavasid! Vaadake:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agendid
 [![AZD algajatele](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI algajatele](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -160,37 +163,39 @@ Meie meeskond koostab ka teisi õppekavasid! Vaata:
 [![AI agendid algajatele](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generatiivse AI sari
-[![Generatiivne AI algajatele](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generatiivne AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generatiivne AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+
+### Generatiivse tehisintellekti sari
+[![Generatiivne tehisintellekt algajatele](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generatiivne tehisintellekt (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generatiivne tehisintellekt (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![Generatiivne AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Põhiõpe
-[![ML algajatele](https://img.shields.io/badge/ML%20algajatele-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Andmeteadus algajatele](https://img.shields.io/badge/Andmeteadus%20algajatele-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Tehisintellekt algajatele](https://img.shields.io/badge/Tehisintellekt%20algajatele-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Küberjulgeolek algajatele](https://img.shields.io/badge/K%C3%BCberjulgeolek%20algajatele-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Veebiarendus algajatele](https://img.shields.io/badge/Veebiarendus%20algajatele-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT algajatele](https://img.shields.io/badge/IoT%20algajatele-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR arendus algajatele](https://img.shields.io/badge/XR%20arendus%20algajatele-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML algajatele](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Andmeteadus algajatele](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI algajatele](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Küberturvalisus algajatele](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Veebiarendus algajatele](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT algajatele](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR arendus algajatele](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copiloti sari  
-[![Copilot AI-põhiseks paarisprogrammeerimiseks](https://img.shields.io/badge/Copilot%20AI-p%C3%B5hiseks%20paarisprogrammeerimiseks-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET jaoks](https://img.shields.io/badge/Copilot%20C%23/.NET%20jaoks-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copiloti seiklus](https://img.shields.io/badge/Copiloti%20seiklus-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot sari
+[![Copilot AI paarisprogrammeerimiseks](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot C#/.NET jaoks](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot seiklus](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Piltide viited  
+## Pildikrediidid
 
-Kõik viited selle õppekava piltidele, kus see on vajalik, leiate [Viited](./attributions.md) failist.
+Kõik selle õppekava jaoks kasutatud piltide krediidid leiate vajadusel [Krediidid](./attributions.md) lehelt.
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Lahtiütlus**:  
-See dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, palume arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Algne dokument selle algses keeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitame kasutada professionaalset inimtõlget. Me ei vastuta arusaamatuste või valesti tõlgenduste eest, mis võivad tekkida selle tõlke kasutamise tõttu.
\ No newline at end of file
+See dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, palume arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Algne dokument selle algkeeles tuleks lugeda autoriteetseks allikaks. Olulise teabe puhul soovitame kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valede tõlgenduste eest.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/fa/README.md b/translations/fa/README.md
index 70be23f9c..fd08780da 100644
--- a/translations/fa/README.md
+++ b/translations/fa/README.md
@@ -1,141 +1,145 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:56:10+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:13:29+00:00",
   "source_file": "README.md",
   "language_code": "fa"
 }
 -->
-[![مجوز GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![مشارکت‌کنندگان GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![مشکلات GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![درخواست‌های کشیدن GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![درخواست‌های کشیدن خوش‌آمدید](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![مجوز GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![مشارکت‌کنندگان GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![مشکلات GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![درخواست‌های کشیدن GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![درخواست‌های کشیدن خوش‌آمدید](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![تماشاچیان GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![انشعابات GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![ستاره‌های GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![تماشاچیان GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![انشعاب‌های GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![ستاره‌های GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### به جامعه Azure AI Foundry بپیوندید
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### به جامعه Azure AI Foundry بپیوندید  
 
-برای شروع استفاده از این منابع، مراحل زیر را دنبال کنید:
-1. **انشعاب مخزن**: کلیک کنید [![انشعابات GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **کلون کردن مخزن**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**به Discord Azure AI Foundry بپیوندید و با کارشناسان و توسعه‌دهندگان دیگر ملاقات کنید**](https://discord.com/invite/ByRwuEEgH4)
+اگر در ساخت برنامه‌های هوش مصنوعی به مشکل برخوردید یا سوالی دارید، به بحث‌های جامعه MCP بپیوندید. این جامعه‌ای حمایتی است که در آن سوالات پذیرفته می‌شوند و دانش به صورت آزادانه به اشتراک گذاشته می‌شود.  
 
-### 🌐 پشتیبانی چندزبانه
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### پشتیبانی شده از طریق GitHub Action (خودکار و همیشه به‌روز)
+اگر بازخورد محصول یا خطاهایی در هنگام ساخت دارید، به اینجا مراجعه کنید:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاری](../bg/README.md) | [برمه‌ای (میانمار)](../my/README.md) | [چینی (ساده‌شده)](../zh/README.md) | [چینی (سنتی، هنگ‌کنگ)](../hk/README.md) | [چینی (سنتی، ماکائو)](../mo/README.md) | [چینی (سنتی، تایوان)](../tw/README.md) | [کرواتی](../hr/README.md) | [چکی](../cs/README.md) | [دانمارکی](../da/README.md) | [هلندی](../nl/README.md) | [استونیایی](../et/README.md) | [فنلاندی](../fi/README.md) | [فرانسوی](../fr/README.md) | [آلمانی](../de/README.md) | [یونانی](../el/README.md) | [عبری](../he/README.md) | [هندی](../hi/README.md) | [مجاری](../hu/README.md) | [اندونزیایی](../id/README.md) | [ایتالیایی](../it/README.md) | [ژاپنی](../ja/README.md) | [کره‌ای](../ko/README.md) | [لیتوانیایی](../lt/README.md) | [مالایی](../ms/README.md) | [مراتی](../mr/README.md) | [نپالی](../ne/README.md) | [نروژی](../no/README.md) | [فارسی](./README.md) | [لهستانی](../pl/README.md) | [پرتغالی (برزیل)](../br/README.md) | [پرتغالی (پرتغال)](../pt/README.md) | [پنجابی (گرمکی)](../pa/README.md) | [رومانیایی](../ro/README.md) | [روسی](../ru/README.md) | [صربی (سیریلیک)](../sr/README.md) | [اسلواکی](../sk/README.md) | [اسلوونیایی](../sl/README.md) | [اسپانیایی](../es/README.md) | [سواحیلی](../sw/README.md) | [سوئدی](../sv/README.md) | [تاگالوگ (فیلیپینی)](../tl/README.md) | [تامیلی](../ta/README.md) | [تایلندی](../th/README.md) | [ترکی](../tr/README.md) | [اوکراینی](../uk/README.md) | [اردو](../ur/README.md) | [ویتنامی](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# اینترنت اشیا برای مبتدیان - یک برنامه آموزشی
+برای شروع استفاده از این منابع، مراحل زیر را دنبال کنید:  
+1. **انشعاب مخزن**: کلیک کنید [![انشعاب‌های GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **کلون کردن مخزن**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**به Discord Microsoft Foundry بپیوندید و با کارشناسان و توسعه‌دهندگان دیگر ملاقات کنید**](https://discord.com/invite/ByRwuEEgH4)  
 
-مدافعان ابری Azure در مایکروسافت خوشحال هستند که یک برنامه آموزشی ۱۲ هفته‌ای و ۲۴ درس درباره اصول اینترنت اشیا ارائه می‌دهند. هر درس شامل آزمون‌های قبل و بعد از درس، دستورالعمل‌های نوشتاری برای تکمیل درس، یک راه‌حل، یک تکلیف و موارد دیگر است. روش آموزشی مبتنی بر پروژه ما به شما امکان می‌دهد در حین ساختن یاد بگیرید، که یک روش اثبات‌شده برای تثبیت مهارت‌های جدید است.
+### 🌐 پشتیبانی چندزبانه  
 
-پروژه‌ها سفر غذا از مزرعه تا میز را پوشش می‌دهند. این شامل کشاورزی، لجستیک، تولید، خرده‌فروشی و مصرف‌کننده است - همه حوزه‌های صنعتی محبوب برای دستگاه‌های اینترنت اشیا.
+#### پشتیبانی شده از طریق GitHub Action (خودکار و همیشه به‌روز)  
 
-![نقشه راه دوره شامل ۲۴ درس درباره مقدمه، کشاورزی، حمل و نقل، پردازش، خرده‌فروشی و آشپزی](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.fa.jpg)
+[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاری](../bg/README.md) | [برمه‌ای (میانمار)](../my/README.md) | [چینی (ساده‌شده)](../zh/README.md) | [چینی (سنتی، هنگ‌کنگ)](../hk/README.md) | [چینی (سنتی، ماکائو)](../mo/README.md) | [چینی (سنتی، تایوان)](../tw/README.md) | [کرواتی](../hr/README.md) | [چکی](../cs/README.md) | [دانمارکی](../da/README.md) | [هلندی](../nl/README.md) | [استونیایی](../et/README.md) | [فنلاندی](../fi/README.md) | [فرانسوی](../fr/README.md) | [آلمانی](../de/README.md) | [یونانی](../el/README.md) | [عبری](../he/README.md) | [هندی](../hi/README.md) | [مجاری](../hu/README.md) | [اندونزیایی](../id/README.md) | [ایتالیایی](../it/README.md) | [ژاپنی](../ja/README.md) | [کره‌ای](../ko/README.md) | [لیتوانیایی](../lt/README.md) | [مالایی](../ms/README.md) | [مراتی](../mr/README.md) | [نپالی](../ne/README.md) | [پیجین نیجریه‌ای](../pcm/README.md) | [نروژی](../no/README.md) | [فارسی](./README.md) | [لهستانی](../pl/README.md) | [پرتغالی (برزیل)](../br/README.md) | [پرتغالی (پرتغال)](../pt/README.md) | [پنجابی (گورموکی)](../pa/README.md) | [رومانیایی](../ro/README.md) | [روسی](../ru/README.md) | [صربی (سیریلیک)](../sr/README.md) | [اسلواکی](../sk/README.md) | [اسلوونیایی](../sl/README.md) | [اسپانیایی](../es/README.md) | [سواحیلی](../sw/README.md) | [سوئدی](../sv/README.md) | [تاگالوگ (فیلیپینی)](../tl/README.md) | [تامیلی](../ta/README.md) | [تایلندی](../th/README.md) | [ترکی](../tr/README.md) | [اوکراینی](../uk/README.md) | [اردو](../ur/README.md) | [ویتنامی](../vi/README.md)  
 
-> طراحی توسط [نیتیا ناراسیمهان](https://github.com/nitya). برای نسخه بزرگ‌تر روی تصویر کلیک کنید.
+# اینترنت اشیا برای مبتدیان - یک برنامه آموزشی  
 
-**تشکر فراوان از نویسندگان ما [جن فاکس](https://github.com/jenfoxbot)، [جن لوپر](https://github.com/jlooper)، [جیم بنت](https://github.com/jimbobbennett)، و هنرمند طراحی ما [نیتیا ناراسیمهان](https://github.com/nitya).**
+مدافعان ابری Azure در مایکروسافت خوشحال هستند که یک برنامه آموزشی ۱۲ هفته‌ای و ۲۴ درس درباره اصول اینترنت اشیا ارائه می‌دهند. هر درس شامل آزمون‌های قبل و بعد از درس، دستورالعمل‌های نوشتاری برای تکمیل درس، یک راه‌حل، یک تکلیف و موارد دیگر است. روش آموزشی مبتنی بر پروژه ما به شما امکان می‌دهد در حین ساخت یاد بگیرید، که یک روش اثبات‌شده برای تثبیت مهارت‌های جدید است.  
 
-**همچنین از تیم [سفیران دانشجویی Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) که این برنامه آموزشی را بررسی و ترجمه کرده‌اند، تشکر می‌کنیم - [آدیتیا گارگ](https://github.com/AdityaGarg00)، [آنوراگ شارما](https://github.com/Anurag-0-1-A)، [آرپیتا داس](https://github.com/Arpiiitaaa)، [آریان جین](https://www.linkedin.com/in/aryan-jain-47a4a1145/)، [بهاوش سونجا](https://github.com/EliteWarrior315)، [فیت هونجا](https://faithhunja.github.io/)، [لطیفه بلو](https://www.linkedin.com/in/lateefah-bello/)، [مانوی جا](https://github.com/Severus-Matthew)، [میرایل تان](https://www.linkedin.com/in/mireille-tan-a4834819a/)، [محمد افتخار (ایفتو) ابن جلال](https://github.com/Iftu119)، [محمد زلفی‌کار](https://github.com/mohzulfikar)، [پریانشو سریواستاوا](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)، [تانمای گاودوچروو](https://github.com/innovation-platform)، و [زینا کامل](https://www.linkedin.com/in/zina-kamel/).**
+پروژه‌ها سفر غذا از مزرعه تا میز را پوشش می‌دهند. این شامل کشاورزی، لجستیک، تولید، خرده‌فروشی و مصرف‌کننده است - همه حوزه‌های صنعتی محبوب برای دستگاه‌های اینترنت اشیا.  
 
-تیم را ملاقات کنید!
+![نقشه راه دوره شامل ۲۴ درس درباره مقدمه، کشاورزی، حمل‌ونقل، پردازش، خرده‌فروشی و آشپزی](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.fa.jpg)  
 
-[![ویدیو تبلیغاتی](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> طراحی توسط [نیتیا ناراسیمهان](https://github.com/nitya). برای مشاهده نسخه بزرگ‌تر روی تصویر کلیک کنید.  
 
-**گیف توسط** [موهیت جایسال](https://linkedin.com/in/mohitjaisal)
+**تشکر فراوان از نویسندگان ما [جن فاکس](https://github.com/jenfoxbot)، [جن لوپر](https://github.com/jlooper)، [جیم بنت](https://github.com/jimbobbennett)، و هنرمند طراحی ما [نیتیا ناراسیمهان](https://github.com/nitya).**  
 
-> 🎥 برای ویدیو درباره پروژه روی تصویر بالا کلیک کنید!
+**همچنین از تیم [سفیران دانشجویی Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) که این برنامه آموزشی را بررسی و ترجمه کرده‌اند، تشکر می‌کنیم - [آدیتیا گارگ](https://github.com/AdityaGarg00)، [آنوراگ شارما](https://github.com/Anurag-0-1-A)، [آرپیتا داس](https://github.com/Arpiiitaaa)، [آریان جین](https://www.linkedin.com/in/aryan-jain-47a4a1145/)، [بهاوش سونجا](https://github.com/EliteWarrior315)، [فیت هونجا](https://faithhunja.github.io/)، [لطیفه بلو](https://www.linkedin.com/in/lateefah-bello/)، [مانوی جا](https://github.com/Severus-Matthew)، [میرایل تان](https://www.linkedin.com/in/mireille-tan-a4834819a/)، [محمد افتخار (ایفتو) ابن جلال](https://github.com/Iftu119)، [محمد زلفی‌کار](https://github.com/mohzulfikar)، [پریانشو سریواستاوا](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)، [تانمای گاودوچروو](https://github.com/innovation-platform)، و [زینا کامل](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **معلمان**، ما [برخی پیشنهادات](for-teachers.md) درباره نحوه استفاده از این برنامه آموزشی را شامل کرده‌ایم. اگر می‌خواهید درس‌های خود را ایجاد کنید، ما همچنین یک [الگوی درس](lesson-template/README.md) را شامل کرده‌ایم.
+با تیم آشنا شوید!  
 
-> **[دانش‌آموزان](https://aka.ms/student-page)**، برای استفاده از این برنامه آموزشی به صورت مستقل، کل مخزن را انشعاب دهید و تمرین‌ها را به صورت مستقل انجام دهید، با آزمون قبل از درس شروع کنید، سپس درس را بخوانید و بقیه فعالیت‌ها را تکمیل کنید. سعی کنید پروژه‌ها را با درک درس‌ها ایجاد کنید نه با کپی کردن کد راه‌حل؛ با این حال، آن کد در پوشه‌های /solutions در هر درس مبتنی بر پروژه موجود است. ایده دیگر این است که یک گروه مطالعه با دوستان تشکیل دهید و محتوا را با هم مرور کنید. برای مطالعه بیشتر، ما [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) را توصیه می‌کنیم.
+[![ویدیو تبلیغاتی](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-برای یک نمای کلی ویدیویی از این دوره، این ویدیو را بررسی کنید:
+**گیف توسط** [موهیت جایسال](https://linkedin.com/in/mohitjaisal)  
 
-[![ویدیو تبلیغاتی](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "ویدیو تبلیغاتی")
+> 🎥 برای مشاهده ویدیو درباره پروژه، روی تصویر بالا کلیک کنید!  
 
-> 🎥 برای ویدیو درباره پروژه روی تصویر بالا کلیک کنید!
+> **معلمان**، ما [برخی پیشنهادات](for-teachers.md) درباره نحوه استفاده از این برنامه آموزشی را ارائه کرده‌ایم. اگر می‌خواهید درس‌های خود را ایجاد کنید، ما همچنین یک [الگوی درس](lesson-template/README.md) را شامل کرده‌ایم.  
 
-## روش آموزشی
+> **[دانش‌آموزان](https://aka.ms/student-page)**، برای استفاده از این برنامه آموزشی به صورت مستقل، کل مخزن را انشعاب دهید و تمرین‌ها را به صورت مستقل انجام دهید، با آزمون قبل از درس شروع کنید، سپس درس را بخوانید و بقیه فعالیت‌ها را تکمیل کنید. سعی کنید پروژه‌ها را با درک درس‌ها ایجاد کنید نه با کپی کردن کد راه‌حل؛ با این حال، آن کد در پوشه‌های /solutions در هر درس مبتنی بر پروژه موجود است. ایده دیگر این است که یک گروه مطالعه با دوستان تشکیل دهید و محتوا را با هم مرور کنید. برای مطالعه بیشتر، ما [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) را توصیه می‌کنیم.  
 
-ما دو اصل آموزشی را هنگام ساخت این برنامه آموزشی انتخاب کرده‌ایم: اطمینان از اینکه مبتنی بر پروژه است و شامل آزمون‌های مکرر می‌شود. تا پایان این سری، دانش‌آموزان یک سیستم نظارت و آبیاری گیاه، یک ردیاب وسیله نقلیه، یک تنظیم کارخانه هوشمند برای ردیابی و بررسی غذا، و یک تایمر آشپزی کنترل‌شده با صدا را ساخته‌اند و اصول اینترنت اشیا از جمله نحوه نوشتن کد دستگاه، اتصال به ابر، تحلیل داده‌های تلومتری و اجرای هوش مصنوعی در لبه را یاد گرفته‌اند.
+برای مشاهده ویدیو معرفی این دوره، این ویدیو را بررسی کنید:  
 
-با اطمینان از اینکه محتوا با پروژه‌ها هماهنگ است، فرآیند برای دانش‌آموزان جذاب‌تر می‌شود و حفظ مفاهیم افزایش می‌یابد.
+[![ویدیو تبلیغاتی](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "ویدیو تبلیغاتی")  
 
-علاوه بر این، یک آزمون کم‌فشار قبل از کلاس قصد دانش‌آموز را برای یادگیری یک موضوع تنظیم می‌کند، در حالی که یک آزمون دوم بعد از کلاس حفظ بیشتر را تضمین می‌کند. این برنامه آموزشی به گونه‌ای طراحی شده است که انعطاف‌پذیر و سرگرم‌کننده باشد و می‌توان آن را به صورت کامل یا جزئی انجام داد. پروژه‌ها کوچک شروع می‌شوند و تا پایان چرخه ۱۲ هفته‌ای به طور فزاینده‌ای پیچیده می‌شوند.
+> 🎥 برای مشاهده ویدیو درباره پروژه، روی تصویر بالا کلیک کنید!  
 
-هر پروژه بر اساس سخت‌افزار واقعی موجود برای دانش‌آموزان و علاقه‌مندان است. هر پروژه به حوزه خاص پروژه نگاه می‌کند و دانش زمینه‌ای مرتبط را ارائه می‌دهد. برای موفقیت به عنوان یک توسعه‌دهنده، کمک می‌کند که حوزه‌ای را که در آن مشکلات را حل می‌کنید، درک کنید. ارائه این دانش زمینه‌ای به دانش‌آموزان اجازه می‌دهد تا درباره راه‌حل‌های اینترنت اشیا و یادگیری‌های خود در زمینه نوع مشکل واقعی که ممکن است به عنوان یک توسعه‌دهنده اینترنت اشیا از آنها خواسته شود، فکر کنند. دانش‌آموزان دلیل راه‌حل‌هایی که می‌سازند را یاد می‌گیرند و قدردانی از کاربر نهایی پیدا می‌کنند.
+## روش آموزشی  
 
-## سخت‌افزار
+ما دو اصل آموزشی را در هنگام ساخت این برنامه آموزشی انتخاب کرده‌ایم: اطمینان از اینکه مبتنی بر پروژه است و شامل آزمون‌های مکرر می‌شود. تا پایان این سری، دانش‌آموزان یک سیستم نظارت و آبیاری گیاه، یک ردیاب وسیله نقلیه، یک تنظیم کارخانه هوشمند برای ردیابی و بررسی غذا، و یک تایمر آشپزی کنترل‌شده با صدا را ساخته‌اند و اصول اینترنت اشیا از جمله نحوه نوشتن کد دستگاه، اتصال به ابر، تحلیل داده‌های تلومتری و اجرای هوش مصنوعی در لبه را یاد گرفته‌اند.  
 
-ما دو گزینه سخت‌افزار اینترنت اشیا برای استفاده در پروژه‌ها داریم که بسته به ترجیحات شخصی، دانش زبان برنامه‌نویسی یا ترجیحات، اهداف یادگیری و در دسترس بودن متفاوت است. ما همچنین نسخه‌ای از "سخت‌افزار مجازی" را برای کسانی که به سخت‌افزار دسترسی ندارند یا می‌خواهند قبل از خرید بیشتر یاد بگیرند، ارائه کرده‌ایم. می‌توانید اطلاعات بیشتر و یک "لیست خرید" را در [صفحه سخت‌افزار](./hardware.md) پیدا کنید، از جمله لینک‌هایی برای خرید کیت‌های کامل از دوستان ما در Seeed Studio.
+با اطمینان از اینکه محتوا با پروژه‌ها هماهنگ است، فرآیند برای دانش‌آموزان جذاب‌تر می‌شود و حفظ مفاهیم افزایش می‌یابد.  
 
-> 💁 [قوانین رفتاری](CODE_OF_CONDUCT.md)، [مشارکت](CONTRIBUTING.md)، و [راهنمای ترجمه](TRANSLATIONS.md) ما را پیدا کنید. ما از بازخورد سازنده شما استقبال می‌کنیم!
+علاوه بر این، یک آزمون کم‌فشار قبل از کلاس، قصد دانش‌آموز را به سمت یادگیری یک موضوع هدایت می‌کند، در حالی که یک آزمون دوم بعد از کلاس، حفظ بیشتر را تضمین می‌کند. این برنامه آموزشی به گونه‌ای طراحی شده است که انعطاف‌پذیر و سرگرم‌کننده باشد و می‌توان آن را به صورت کامل یا جزئی انجام داد. پروژه‌ها کوچک شروع می‌شوند و تا پایان چرخه ۱۲ هفته‌ای به طور فزاینده‌ای پیچیده می‌شوند.  
 
-## هر درس شامل موارد زیر است:
+هر پروژه بر اساس سخت‌افزار واقعی موجود برای دانش‌آموزان و علاقه‌مندان است. هر پروژه به حوزه خاص پروژه می‌پردازد و دانش زمینه‌ای مرتبط را ارائه می‌دهد. برای موفقیت به عنوان یک توسعه‌دهنده، کمک می‌کند که حوزه‌ای که در آن مشکلات را حل می‌کنید را درک کنید، ارائه این دانش زمینه‌ای به دانش‌آموزان اجازه می‌دهد تا درباره راه‌حل‌های اینترنت اشیا و یادگیری‌های خود در زمینه نوع مشکل واقعی که ممکن است به عنوان یک توسعه‌دهنده اینترنت اشیا از آنها خواسته شود حل کنند، فکر کنند. دانش‌آموزان دلیل راه‌حل‌هایی که می‌سازند را یاد می‌گیرند و قدردانی از کاربر نهایی پیدا می‌کنند.  
 
-- طراحی
-- ویدیوی اختیاری تکمیلی
-- آزمون گرم کردن قبل از درس
-- درس نوشتاری
-- برای درس‌های مبتنی بر پروژه، راهنمای گام به گام درباره نحوه ساخت پروژه
-- بررسی دانش
-- یک چالش
-- خواندن تکمیلی
-- تکلیف
-- [آزمون بعد از درس](https://ff-quizzes.netlify.app/en/)
+## سخت‌افزار  
 
-> **یادداشتی درباره آزمون‌ها**: همه آزمون‌ها در پوشه quiz-app قرار دارند، برای مجموع ۴۸ آزمون هر کدام شامل سه سوال. آنها از داخل درس‌ها لینک شده‌اند اما برنامه آزمون می‌تواند به صورت محلی اجرا شود یا در Azure مستقر شود؛ دستورالعمل‌ها را در پوشه `quiz-app` دنبال کنید. آنها به تدریج در حال محلی‌سازی هستند.
+ما دو گزینه سخت‌افزار اینترنت اشیا برای استفاده در پروژه‌ها داریم که بسته به ترجیحات شخصی، دانش زبان برنامه‌نویسی یا ترجیحات، اهداف یادگیری و در دسترس بودن متفاوت است. ما همچنین نسخه‌ای از "سخت‌افزار مجازی" را برای کسانی که به سخت‌افزار دسترسی ندارند یا می‌خواهند قبل از خرید بیشتر یاد بگیرند، ارائه کرده‌ایم. می‌توانید بیشتر بخوانید و یک "لیست خرید" را در [صفحه سخت‌افزار](./hardware.md) پیدا کنید، از جمله لینک‌هایی برای خرید کیت‌های کامل از دوستان ما در Seeed Studio.  
+
+> 💁 [قوانین رفتاری](CODE_OF_CONDUCT.md)، [مشارکت](CONTRIBUTING.md)، و [راهنمای ترجمه](TRANSLATIONS.md) ما را پیدا کنید. ما از بازخورد سازنده شما استقبال می‌کنیم!  
+
+## هر درس شامل موارد زیر است:  
+
+- طراحی  
+- ویدیو اختیاری تکمیلی  
+- آزمون گرم‌آپ قبل از درس  
+- درس نوشتاری  
+- برای درس‌های مبتنی بر پروژه، راهنمای گام‌به‌گام درباره نحوه ساخت پروژه  
+- بررسی دانش  
+- یک چالش  
+- مطالعه تکمیلی  
+- تکلیف  
+- [آزمون بعد از درس](https://ff-quizzes.netlify.app/en/)  
+> **نکته‌ای درباره آزمون‌ها**: تمامی آزمون‌ها در پوشه quiz-app قرار دارند و شامل ۴۸ آزمون با سه سؤال در هر آزمون هستند. این آزمون‌ها از داخل درس‌ها لینک شده‌اند، اما می‌توان اپلیکیشن آزمون را به صورت محلی اجرا کرد یا در Azure مستقر نمود؛ دستورالعمل‌ها در پوشه `quiz-app` موجود است. این آزمون‌ها به تدریج بومی‌سازی می‌شوند.
 
 ## درس‌ها
 
 |       |              نام پروژه              |                       مفاهیم آموزش داده شده                       | اهداف یادگیری                                                                                                                                                 |                                                        درس مرتبط                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [شروع کار](./1-getting-started/README.md) |                     مقدمه‌ای بر اینترنت اشیا                     | اصول اولیه اینترنت اشیا و اجزای اصلی راه‌حل‌های اینترنت اشیا مانند حسگرها و خدمات ابری را یاد بگیرید، در حالی که اولین دستگاه اینترنت اشیا خود را راه‌اندازی می‌کنید |                      [مقدمه‌ای بر اینترنت اشیا](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [شروع کار](./1-getting-started/README.md) |                   بررسی عمیق‌تر اینترنت اشیا                    | درباره اجزای یک سیستم اینترنت اشیا، همچنین میکروکنترلرها و کامپیوترهای تک‌برد بیشتر بیاموزید                                                            |                        [بررسی عمیق‌تر اینترنت اشیا](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [شروع کار](./1-getting-started/README.md) | تعامل با دنیای فیزیکی با حسگرها و عملگرها | درباره حسگرها برای جمع‌آوری داده‌ها از دنیای فیزیکی و عملگرها برای ارسال بازخورد بیاموزید، در حالی که یک چراغ شبانه می‌سازید                                           | [تعامل با دنیای فیزیکی با حسگرها و عملگرها](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [شروع کار](./1-getting-started/README.md) |             اتصال دستگاه خود به اینترنت             | درباره نحوه اتصال یک دستگاه اینترنت اشیا به اینترنت برای ارسال و دریافت پیام‌ها با اتصال چراغ شبانه خود به یک بروکر MQTT بیاموزید                               |               [اتصال دستگاه خود به اینترنت](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [کشاورزی](./2-farm/README.md)            |                    پیش‌بینی رشد گیاه                     | نحوه پیش‌بینی رشد گیاه با استفاده از داده‌های دما که توسط یک دستگاه اینترنت اشیا جمع‌آوری شده است را بیاموزید                                                                                  |                          [پیش‌بینی رشد گیاه](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [کشاورزی](./2-farm/README.md)            |                    تشخیص رطوبت خاک                     | نحوه تشخیص رطوبت خاک و کالیبره کردن یک حسگر رطوبت خاک را بیاموزید                                                                                              |                          [تشخیص رطوبت خاک](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [کشاورزی](./2-farm/README.md)            |                  آبیاری خودکار گیاهان                   | نحوه خودکارسازی و زمان‌بندی آبیاری با استفاده از یک رله و MQTT را بیاموزید                                                                                                      |                      [آبیاری خودکار گیاهان](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [کشاورزی](./2-farm/README.md)            |               انتقال گیاه خود به فضای ابری               | درباره فضای ابری و خدمات اینترنت اشیا میزبانی شده در فضای ابری و نحوه اتصال گیاه خود به یکی از این خدمات به جای یک بروکر عمومی MQTT بیاموزید                                   |               [انتقال گیاه خود به فضای ابری](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [کشاورزی](./2-farm/README.md)            |         انتقال منطق برنامه خود به فضای ابری         | درباره نحوه نوشتن منطق برنامه در فضای ابری که به پیام‌های اینترنت اشیا پاسخ می‌دهد بیاموزید                                                                          |         [انتقال منطق برنامه خود به فضای ابری](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [کشاورزی](./2-farm/README.md)            |                   ایمن نگه داشتن گیاه خود                    | درباره امنیت در اینترنت اشیا و نحوه ایمن نگه داشتن گیاه خود با کلیدها و گواهی‌ها بیاموزید                                                                          |                        [ایمن نگه داشتن گیاه خود](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [حمل و نقل](./3-transport/README.md)       |                      ردیابی موقعیت مکانی                      | درباره ردیابی موقعیت مکانی GPS برای دستگاه‌های اینترنت اشیا بیاموزید                                                                                                                   |                           [ردیابی موقعیت مکانی](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [حمل و نقل](./3-transport/README.md)       |                     ذخیره داده‌های موقعیت مکانی                     | نحوه ذخیره داده‌های اینترنت اشیا برای نمایش یا تحلیل بعدی را بیاموزید                                                                                                      |                         [ذخیره داده‌های موقعیت مکانی](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [حمل و نقل](./3-transport/README.md)       |                   نمایش داده‌های موقعیت مکانی                   | درباره نمایش داده‌های موقعیت مکانی روی نقشه و نحوه نمایش نقشه‌ها از دنیای واقعی سه‌بعدی در دو بعد بیاموزید                                                            |                     [نمایش داده‌های موقعیت مکانی](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [حمل و نقل](./3-transport/README.md)       |                          حصارهای جغرافیایی                          | درباره حصارهای جغرافیایی و نحوه استفاده از آن‌ها برای هشدار زمانی که وسایل نقلیه در زنجیره تأمین به مقصد نزدیک می‌شوند بیاموزید                                           |                                   [حصارهای جغرافیایی](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [تولید](./4-manufacturing/README.md)   |               آموزش یک تشخیص‌دهنده کیفیت میوه                | درباره آموزش یک طبقه‌بندی‌کننده تصویر در فضای ابری برای تشخیص کیفیت میوه بیاموزید                                                                                       |                 [آموزش یک تشخیص‌دهنده کیفیت میوه](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [تولید](./4-manufacturing/README.md)   |           بررسی کیفیت میوه از یک دستگاه اینترنت اشیا            | درباره استفاده از تشخیص‌دهنده کیفیت میوه خود از یک دستگاه اینترنت اشیا بیاموزید                                                                                                    |           [بررسی کیفیت میوه از یک دستگاه اینترنت اشیا](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [تولید](./4-manufacturing/README.md)   |             اجرای تشخیص‌دهنده میوه خود در لبه             | درباره اجرای تشخیص‌دهنده میوه خود روی یک دستگاه اینترنت اشیا در لبه بیاموزید                                                                                                |             [اجرای تشخیص‌دهنده میوه خود در لبه](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [تولید](./4-manufacturing/README.md)   |        فعال‌سازی تشخیص کیفیت میوه از یک حسگر        | درباره فعال‌سازی تشخیص کیفیت میوه از یک حسگر بیاموزید                                                                                                        |        [فعال‌سازی تشخیص کیفیت میوه از یک حسگر](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [خرده‌فروشی](./5-retail/README.md)          |                   آموزش یک تشخیص‌دهنده موجودی                    | نحوه استفاده از تشخیص اشیا برای آموزش یک تشخیص‌دهنده موجودی برای شمارش موجودی در یک فروشگاه را بیاموزید                                                                                |                        [آموزش یک تشخیص‌دهنده موجودی](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [خرده‌فروشی](./5-retail/README.md)          |               بررسی موجودی از یک دستگاه اینترنت اشیا                | نحوه بررسی موجودی از یک دستگاه اینترنت اشیا با استفاده از یک مدل تشخیص اشیا را بیاموزید                                                                                         |                     [بررسی موجودی از یک دستگاه اینترنت اشیا](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [مصرف‌کننده](./6-consumer/README.md)        |             تشخیص گفتار با یک دستگاه اینترنت اشیا             | نحوه تشخیص گفتار از یک دستگاه اینترنت اشیا برای ساخت یک تایمر هوشمند را بیاموزید                                                                                             |                  [تشخیص گفتار با یک دستگاه اینترنت اشیا](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [مصرف‌کننده](./6-consumer/README.md)        |                     درک زبان                     | نحوه درک جملات گفته شده به یک دستگاه اینترنت اشیا را بیاموزید                                                                                                           |                        [درک زبان](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [مصرف‌کننده](./6-consumer/README.md)        |           تنظیم یک تایمر و ارائه بازخورد گفتاری           | نحوه تنظیم یک تایمر روی یک دستگاه اینترنت اشیا و ارائه بازخورد گفتاری در مورد زمان تنظیم تایمر و پایان آن را بیاموزید                                                    |                 [تنظیم یک تایمر و ارائه بازخورد گفتاری](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [مصرف‌کننده](./6-consumer/README.md)        |                 پشتیبانی از زبان‌های متعدد                  | نحوه پشتیبانی از زبان‌های متعدد، هم برای صحبت کردن و هم برای پاسخ‌های تایمر هوشمند خود را بیاموزید                                                               |                   [پشتیبانی از زبان‌های متعدد](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  01   | [شروع به کار](./1-getting-started/README.md) |                     مقدمه‌ای بر اینترنت اشیا                     | یادگیری اصول اولیه اینترنت اشیا و اجزای اصلی راه‌حل‌های اینترنت اشیا مانند حسگرها و خدمات ابری در حین راه‌اندازی اولین دستگاه اینترنت اشیا |                      [مقدمه‌ای بر اینترنت اشیا](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [شروع به کار](./1-getting-started/README.md) |                   بررسی عمیق‌تر اینترنت اشیا                    | یادگیری بیشتر درباره اجزای یک سیستم اینترنت اشیا، همچنین میکروکنترلرها و کامپیوترهای تک‌بردی                                                            |                        [بررسی عمیق‌تر اینترنت اشیا](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [شروع به کار](./1-getting-started/README.md) | تعامل با دنیای فیزیکی با حسگرها و عملگرها | یادگیری درباره حسگرها برای جمع‌آوری داده از دنیای فیزیکی و عملگرها برای ارسال بازخورد، در حین ساخت یک چراغ شبانه                                           | [تعامل با دنیای فیزیکی با حسگرها و عملگرها](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [شروع به کار](./1-getting-started/README.md) |             اتصال دستگاه به اینترنت             | یادگیری نحوه اتصال یک دستگاه اینترنت اشیا به اینترنت برای ارسال و دریافت پیام‌ها با اتصال چراغ شبانه به یک بروکر MQTT                               |               [اتصال دستگاه به اینترنت](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [مزرعه](./2-farm/README.md)            |                    پیش‌بینی رشد گیاه                     | یادگیری نحوه پیش‌بینی رشد گیاه با استفاده از داده‌های دمایی که توسط یک دستگاه اینترنت اشیا جمع‌آوری شده است                                                                                  |                          [پیش‌بینی رشد گیاه](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [مزرعه](./2-farm/README.md)            |                    تشخیص رطوبت خاک                     | یادگیری نحوه تشخیص رطوبت خاک و کالیبره کردن یک حسگر رطوبت خاک                                                                                              |                          [تشخیص رطوبت خاک](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [مزرعه](./2-farm/README.md)            |                  آبیاری خودکار گیاهان                   | یادگیری نحوه خودکارسازی و زمان‌بندی آبیاری با استفاده از یک رله و MQTT                                                                                                      |                      [آبیاری خودکار گیاهان](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [مزرعه](./2-farm/README.md)            |               انتقال گیاه به فضای ابری               | یادگیری درباره فضای ابری و خدمات اینترنت اشیا مبتنی بر ابر و نحوه اتصال گیاه به یکی از این خدمات به جای یک بروکر عمومی MQTT                                   |               [انتقال گیاه به فضای ابری](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [مزرعه](./2-farm/README.md)            |         انتقال منطق برنامه به فضای ابری         | یادگیری نحوه نوشتن منطق برنامه در فضای ابری که به پیام‌های اینترنت اشیا پاسخ می‌دهد                                                                          |         [انتقال منطق برنامه به فضای ابری](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [مزرعه](./2-farm/README.md)            |                   ایمن‌سازی گیاه                    | یادگیری درباره امنیت در اینترنت اشیا و نحوه ایمن‌سازی گیاه با استفاده از کلیدها و گواهی‌نامه‌ها                                                                          |                        [ایمن‌سازی گیاه](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [حمل و نقل](./3-transport/README.md)       |                      ردیابی موقعیت                      | یادگیری درباره ردیابی موقعیت GPS برای دستگاه‌های اینترنت اشیا                                                                                                                   |                           [ردیابی موقعیت](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [حمل و نقل](./3-transport/README.md)       |                     ذخیره داده‌های موقعیت                     | یادگیری نحوه ذخیره داده‌های اینترنت اشیا برای تجسم یا تحلیل در آینده                                                                                                      |                         [ذخیره داده‌های موقعیت](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [حمل و نقل](./3-transport/README.md)       |                   تجسم داده‌های موقعیت                   | یادگیری درباره تجسم داده‌های موقعیت روی نقشه و نحوه نمایش نقشه‌ها از دنیای واقعی سه‌بعدی در دو بعد                                                            |                     [تجسم داده‌های موقعیت](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [حمل و نقل](./3-transport/README.md)       |                          حصارهای جغرافیایی                          | یادگیری درباره حصارهای جغرافیایی و نحوه استفاده از آن‌ها برای هشدار زمانی که وسایل نقلیه در زنجیره تأمین به مقصد نزدیک می‌شوند                                           |                                   [حصارهای جغرافیایی](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [تولید](./4-manufacturing/README.md)   |               آموزش یک تشخیص‌دهنده کیفیت میوه                | یادگیری درباره آموزش یک طبقه‌بند تصویر در فضای ابری برای تشخیص کیفیت میوه                                                                                       |                 [آموزش یک تشخیص‌دهنده کیفیت میوه](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [تولید](./4-manufacturing/README.md)   |           بررسی کیفیت میوه از یک دستگاه اینترنت اشیا            | یادگیری درباره استفاده از تشخیص‌دهنده کیفیت میوه از یک دستگاه اینترنت اشیا                                                                                                    |           [بررسی کیفیت میوه از یک دستگاه اینترنت اشیا](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [تولید](./4-manufacturing/README.md)   |             اجرای تشخیص‌دهنده میوه در لبه             | یادگیری درباره اجرای تشخیص‌دهنده میوه روی یک دستگاه اینترنت اشیا در لبه                                                                                                |             [اجرای تشخیص‌دهنده میوه در لبه](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [تولید](./4-manufacturing/README.md)   |        فعال‌سازی تشخیص کیفیت میوه از یک حسگر        | یادگیری درباره فعال‌سازی تشخیص کیفیت میوه از یک حسگر                                                                                                        |        [فعال‌سازی تشخیص کیفیت میوه از یک حسگر](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [خرده‌فروشی](./5-retail/README.md)          |                   آموزش یک تشخیص‌دهنده موجودی                    | یادگیری نحوه استفاده از تشخیص اشیا برای آموزش یک تشخیص‌دهنده موجودی برای شمارش موجودی در یک فروشگاه                                                                                |                        [آموزش یک تشخیص‌دهنده موجودی](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [خرده‌فروشی](./5-retail/README.md)          |               بررسی موجودی از یک دستگاه اینترنت اشیا                | یادگیری نحوه بررسی موجودی از یک دستگاه اینترنت اشیا با استفاده از یک مدل تشخیص اشیا                                                                                         |                     [بررسی موجودی از یک دستگاه اینترنت اشیا](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [مصرف‌کننده](./6-consumer/README.md)        |             تشخیص گفتار با یک دستگاه اینترنت اشیا             | یادگیری نحوه تشخیص گفتار از یک دستگاه اینترنت اشیا برای ساخت یک تایمر هوشمند                                                                                             |                  [تشخیص گفتار با یک دستگاه اینترنت اشیا](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [مصرف‌کننده](./6-consumer/README.md)        |                     درک زبان                     | یادگیری نحوه درک جملات گفته‌شده به یک دستگاه اینترنت اشیا                                                                                                           |                        [درک زبان](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [مصرف‌کننده](./6-consumer/README.md)        |           تنظیم تایمر و ارائه بازخورد صوتی           | یادگیری نحوه تنظیم تایمر روی یک دستگاه اینترنت اشیا و ارائه بازخورد صوتی درباره زمان تنظیم تایمر و پایان آن                                                    |                 [تنظیم تایمر و ارائه بازخورد صوتی](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [مصرف‌کننده](./6-consumer/README.md)        |                 پشتیبانی از چند زبان                  | یادگیری نحوه پشتیبانی از چند زبان، هم در گفتار و هم در پاسخ‌های تایمر هوشمند                                                               |                   [پشتیبانی از چند زبان](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## دسترسی آفلاین
 
-شما می‌توانید این مستندات را به صورت آفلاین با استفاده از [Docsify](https://docsify.js.org/#/) اجرا کنید. این مخزن را فورک کنید، [Docsify را نصب کنید](https://docsify.js.org/#/quickstart) روی کامپیوتر خود نصب کنید و سپس در پوشه اصلی این مخزن، دستور `docsify serve` را اجرا کنید. وب‌سایت روی پورت 3000 در localhost شما ارائه خواهد شد: `localhost:3000`.
+می‌توانید این مستندات را به صورت آفلاین با استفاده از [Docsify](https://docsify.js.org/#/) اجرا کنید. این مخزن را فورک کنید، [Docsify را نصب کنید](https://docsify.js.org/#/quickstart) روی دستگاه محلی خود، و سپس در پوشه اصلی این مخزن، دستور `docsify serve` را تایپ کنید. وب‌سایت روی پورت 3000 در localhost شما ارائه خواهد شد: `localhost:3000`.
 
 ## آزمون
 
-از جامعه برای میزبانی آزمون تعاملی که دانش شما را در هر فصل آزمایش می‌کند، تشکر می‌کنیم. دانش خود را [اینجا آزمایش کنید](https://ff-quizzes.netlify.app/en/) 
+از جامعه برای میزبانی آزمون تعاملی که دانش شما را در هر یک از فصل‌ها می‌سنجد، تشکر می‌کنیم. می‌توانید دانش خود را [اینجا](https://ff-quizzes.netlify.app/en/) آزمایش کنید.
 
 ### PDF
 
-شما می‌توانید یک فایل PDF از این محتوا برای دسترسی آفلاین در صورت نیاز ایجاد کنید. برای این کار، مطمئن شوید که [npm نصب شده است](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) و دستورات زیر را در پوشه اصلی این مخزن اجرا کنید:
+می‌توانید یک فایل PDF از این محتوا برای دسترسی آفلاین در صورت نیاز تولید کنید. برای این کار، مطمئن شوید که [npm نصب شده است](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) و دستورات زیر را در پوشه اصلی این مخزن اجرا کنید:
 
 ```sh
 npm i
@@ -146,12 +150,10 @@ npm run convert
 
 برای برخی از درس‌ها، اسلایدهایی در پوشه [slides](../../slides) موجود است.
 
+## سایر برنامه‌های درسی
 
-## سایر برنامه‌های آموزشی
+تیم ما برنامه‌های درسی دیگری نیز تولید می‌کند! بررسی کنید:
 
-تیم ما برنامه‌های آموزشی دیگری نیز تولید می‌کند! بررسی کنید:
-
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD برای مبتدیان](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI برای مبتدیان](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,37 +161,39 @@ npm run convert
 [![AI Agents برای مبتدیان](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### سری هوش مصنوعی تولیدی
-[![هوش مصنوعی تولیدی برای مبتدیان](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![هوش مصنوعی تولیدی (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![هوش مصنوعی تولیدی (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![هوش مصنوعی تولیدی (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### سری هوش مصنوعی مولد
+[![هوش مصنوعی مولد برای مبتدیان](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![هوش مصنوعی مولد (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![هوش مصنوعی مولد (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![هوش مصنوعی تولیدی (جاوااسکریپت)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### یادگیری اصلی
-[![یادگیری ماشین برای مبتدیان](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![علم داده برای مبتدیان](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![هوش مصنوعی برای مبتدیان](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![امنیت سایبری برای مبتدیان](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![توسعه وب برای مبتدیان](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![اینترنت اشیا برای مبتدیان](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![توسعه XR برای مبتدیان](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### آموزش‌های اصلی
+[![یادگیری ماشین برای مبتدیان](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![علم داده برای مبتدیان](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![هوش مصنوعی برای مبتدیان](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![امنیت سایبری برای مبتدیان](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![توسعه وب برای مبتدیان](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![اینترنت اشیا برای مبتدیان](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![توسعه XR برای مبتدیان](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### مجموعه Copilot  
-[![Copilot برای برنامه‌نویسی جفتی با هوش مصنوعی](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot برای C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![ماجراجویی Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### مجموعه Copilot
+[![Copilot برای برنامه‌نویسی جفتی هوش مصنوعی](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot برای C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![ماجراجویی Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- پایان دوره‌های دیگر مترجم CO-OP -->
 
-## منابع تصاویر  
+## انتساب تصاویر
 
-می‌توانید تمامی منابع تصاویر استفاده شده در این دوره آموزشی را در بخش [منابع](./attributions.md) پیدا کنید.
+می‌توانید تمامی انتساب‌های مربوط به تصاویر استفاده شده در این دوره آموزشی را در [انتساب‌ها](./attributions.md) پیدا کنید.
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **سلب مسئولیت**:  
-این سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما تلاش می‌کنیم دقت را حفظ کنیم، لطفاً توجه داشته باشید که ترجمه‌های خودکار ممکن است شامل خطاها یا نادرستی‌ها باشند. سند اصلی به زبان اصلی آن باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حساس، ترجمه حرفه‌ای انسانی توصیه می‌شود. ما مسئولیتی در قبال سوء تفاهم‌ها یا تفسیرهای نادرست ناشی از استفاده از این ترجمه نداریم.
\ No newline at end of file
+این سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما برای دقت تلاش می‌کنیم، لطفاً توجه داشته باشید که ترجمه‌های خودکار ممکن است حاوی خطاها یا نادرستی‌هایی باشند. سند اصلی به زبان اصلی آن باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حساس، ترجمه حرفه‌ای انسانی توصیه می‌شود. ما مسئولیتی در قبال هرگونه سوءتفاهم یا تفسیر نادرست ناشی از استفاده از این ترجمه نداریم.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/fi/README.md b/translations/fi/README.md
index 7f3ec2127..6603680d1 100644
--- a/translations/fi/README.md
+++ b/translations/fi/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:14:47+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:48:48+00:00",
   "source_file": "README.md",
   "language_code": "fi"
 }
@@ -17,36 +17,42 @@ CO_OP_TRANSLATOR_METADATA:
 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
 [![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Liity Azure AI Foundry -yhteisöön 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Liity Azure AI Foundry -yhteisöön
 
-Seuraa näitä ohjeita päästäksesi alkuun näiden resurssien käytössä:
-1. **Haarauta arkisto**: Klikkaa [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Kloonaa arkisto**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Liity Azure AI Foundry Discordiin ja tapaa asiantuntijoita ja muita kehittäjiä**](https://discord.com/invite/ByRwuEEgH4)
+Jos kohtaat ongelmia tai sinulla on kysymyksiä AI-sovellusten rakentamisesta, liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluihin MCP:stä. Tämä on tukiva yhteisö, jossa kysymykset ovat tervetulleita ja tietoa jaetaan avoimesti.
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Jos sinulla on palautetta tuotteesta tai kohtaat virheitä rakentamisen aikana, käy osoitteessa:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+Seuraa näitä vaiheita päästäksesi alkuun näiden resurssien käytössä:
+1. **Haarauta repositorio**: Klikkaa [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **Kloonaa repositorio**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Liity Microsoft Foundry Discordiin ja tapaa asiantuntijoita ja muita kehittäjiä**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Monikielinen tuki
 
 #### Tuettu GitHub Actionin kautta (automaattinen ja aina ajan tasalla)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](./README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](./README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT aloittelijoille - Opetussuunnitelma
 
-Microsoftin Azure Cloud Advocates -tiimi tarjoaa mielellään 12 viikon, 24 oppitunnin opetussuunnitelman IoT:n perusteista. Jokainen oppitunti sisältää ennen ja jälkeen oppitunnin tehtävät, kirjalliset ohjeet oppitunnin suorittamiseen, ratkaisun, tehtävän ja paljon muuta. Projektipohjainen oppimismetodi antaa mahdollisuuden oppia rakentamalla, mikä on todistetusti tehokas tapa omaksua uusia taitoja.
+Microsoftin Azure Cloud Advocates -tiimi tarjoaa mielellään 12 viikon ja 24 oppitunnin opetussuunnitelman IoT:n perusteista. Jokainen oppitunti sisältää ennen ja jälkeen oppitunnin tehtävät, kirjalliset ohjeet oppitunnin suorittamiseen, ratkaisun, tehtävän ja paljon muuta. Projektipohjainen oppimismetodi antaa mahdollisuuden oppia rakentamalla, mikä on todistetusti tehokas tapa omaksua uusia taitoja.
 
 Projektit käsittelevät ruoan matkaa pellolta pöytään. Tämä sisältää viljelyn, logistiikan, valmistuksen, vähittäiskaupan ja kuluttajan - kaikki suosittuja IoT-laitteiden käyttöalueita.
 
-![Kurssin tiekartta, joka näyttää 24 oppituntia, jotka kattavat johdannon, viljelyn, kuljetuksen, prosessoinnin, vähittäiskaupan ja ruoanlaiton](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.fi.jpg)
+![Kurssin tiekartta, joka näyttää 24 oppituntia, jotka kattavat johdannon, viljelyn, kuljetuksen, käsittelyn, vähittäiskaupan ja ruoanlaiton](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.fi.jpg)
 
 > Sketchnote: [Nitya Narasimhan](https://github.com/nitya). Klikkaa kuvaa nähdäksesi suuremman version.
 
-**Sydämellinen kiitos kirjoittajillemme [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ja sketchnote-taiteilijallemme [Nitya Narasimhan](https://github.com/nitya).**
+**Sydämelliset kiitokset kirjoittajillemme [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ja sketchnote-taiteilijallemme [Nitya Narasimhan](https://github.com/nitya).**
 
-**Kiitos myös tiimillemme [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), jotka ovat tarkistaneet ja kääntäneet tätä opetussuunnitelmaa - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) ja [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Kiitokset myös tiimillemme [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), jotka ovat tarkistaneet ja kääntäneet tätä opetussuunnitelmaa - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) ja [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
 Tutustu tiimiin!
 
@@ -56,9 +62,9 @@ Tutustu tiimiin!
 
 > 🎥 Klikkaa yllä olevaa kuvaa nähdäksesi videon projektista!
 
-> **Opettajat**, olemme [lisänneet joitakin ehdotuksia](for-teachers.md) siitä, miten käyttää tätä opetussuunnitelmaa. Jos haluat luoda omia oppitunteja, olemme myös lisänneet [oppituntimallin](lesson-template/README.md).
+> **Opettajat**, olemme [lisänneet joitakin ehdotuksia](for-teachers.md) siitä, miten käyttää tätä opetussuunnitelmaa. Jos haluat luoda omia oppitunteja, olemme myös lisänneet [oppituntipohjan](lesson-template/README.md).
 
-> **[Opiskelijat](https://aka.ms/student-page)**, jos haluat käyttää tätä opetussuunnitelmaa itsenäisesti, haarauta koko arkisto ja suorita tehtävät itsenäisesti aloittaen ennen oppituntia tehtävällä kyselyllä, sitten lukemalla oppitunnin ja suorittamalla loput aktiviteetit. Yritä luoda projektit ymmärtämällä oppitunnit sen sijaan, että kopioisit ratkaisukoodin; kuitenkin kyseinen koodi on saatavilla /solutions-kansioissa jokaisessa projektipohjaisessa oppitunnissa. Toinen idea olisi muodostaa opiskeluryhmä ystävien kanssa ja käydä sisältöä läpi yhdessä. Lisäopiskelua varten suosittelemme [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Opiskelijat](https://aka.ms/student-page)**, jos haluat käyttää tätä opetussuunnitelmaa itsenäisesti, haarauta koko repositorio ja suorita tehtävät itsenäisesti aloittaen ennen oppituntia tehtävällä kyselyllä, lukemalla oppitunnin ja suorittamalla loput aktiviteetit. Yritä luoda projektit ymmärtämällä oppitunnit sen sijaan, että kopioisit ratkaisukoodin; kuitenkin kyseinen koodi on saatavilla /solutions-kansioissa jokaisessa projektipohjaisessa oppitunnissa. Toinen idea olisi muodostaa opiskeluryhmä ystävien kanssa ja käydä sisältöä läpi yhdessä. Lisäopiskelua varten suosittelemme [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
 Katso kurssin yleiskatsaus tästä videosta:
 
@@ -68,13 +74,13 @@ Katso kurssin yleiskatsaus tästä videosta:
 
 ## Pedagogiikka
 
-Olemme valinneet kaksi pedagogista periaatetta tämän opetussuunnitelman rakentamiseen: varmistaa, että se on projektipohjainen ja että se sisältää usein kyselyjä. Tämän sarjan lopussa opiskelijat ovat rakentaneet kasvien seurantaan ja kasteluun tarkoitetun järjestelmän, ajoneuvon seurantajärjestelmän, älykkään tehtaan ruoan seurantaan ja tarkistamiseen sekä ääni-ohjatun ruoanlaittoajastimen, ja oppineet IoT:n perusteet, mukaan lukien laitteen koodin kirjoittaminen, pilveen yhdistäminen, telemetrian analysointi ja tekoälyn käyttö reunalla.
+Olemme valinneet kaksi pedagogista periaatetta tämän opetussuunnitelman rakentamisessa: varmistaa, että se on projektipohjainen ja että se sisältää usein kyselyitä. Tämän sarjan lopussa opiskelijat ovat rakentaneet kasvien seurantaan ja kasteluun tarkoitetun järjestelmän, ajoneuvon seurantajärjestelmän, älykkään tehtaan ruoan seurantaan ja tarkistamiseen sekä ääni-ohjatun ruoanlaittoajastimen, ja oppineet IoT:n perusteet, mukaan lukien laitteen koodin kirjoittaminen, pilveen yhdistäminen, telemetrian analysointi ja tekoälyn käyttö reunalla.
 
 Varmistamalla, että sisältö liittyy projekteihin, prosessi on opiskelijoille kiinnostavampi ja käsitteiden omaksuminen paranee.
 
-Lisäksi matalan kynnyksen kysely ennen oppituntia ohjaa opiskelijan huomion aiheen oppimiseen, kun taas toinen kysely oppitunnin jälkeen varmistaa paremman omaksumisen. Tämä opetussuunnitelma on suunniteltu joustavaksi ja hauskaksi, ja sitä voi suorittaa kokonaan tai osittain. Projektit alkavat pienistä ja muuttuvat yhä monimutkaisemmiksi 12 viikon jakson loppuun mennessä.
+Lisäksi matalan kynnyksen kysely ennen oppituntia ohjaa opiskelijan huomion aiheen oppimiseen, kun taas toinen kysely oppitunnin jälkeen varmistaa paremman omaksumisen. Tämä opetussuunnitelma on suunniteltu joustavaksi ja hauskaksi, ja sitä voi käydä läpi kokonaan tai osittain. Projektit alkavat pienistä ja muuttuvat yhä monimutkaisemmiksi 12 viikon jakson loppuun mennessä.
 
-Jokainen projekti perustuu opiskelijoille ja harrastajille saatavilla olevaan todelliseen laitteistoon. Jokainen projekti tutkii tiettyä projektialuetta ja tarjoaa asiaankuuluvaa taustatietoa. Menestyväksi kehittäjäksi tuleminen edellyttää ongelmanratkaisualan ymmärtämistä, ja tämän taustatiedon tarjoaminen antaa opiskelijoille mahdollisuuden pohtia IoT-ratkaisujaan ja oppimisiaan todellisen maailman ongelman kontekstissa, jonka he saattavat kohdata IoT-kehittäjänä. Opiskelijat oppivat rakentamiensa ratkaisujen "miksi" ja saavat arvostusta loppukäyttäjää kohtaan.
+Jokainen projekti perustuu opiskelijoille ja harrastajille saatavilla olevaan todelliseen laitteistoon. Jokainen projekti tutkii tiettyä projektialuetta ja tarjoaa asiaankuuluvaa taustatietoa. Menestyväksi kehittäjäksi tuleminen edellyttää ongelmanratkaisun kontekstin ymmärtämistä, ja taustatiedon tarjoaminen antaa opiskelijoille mahdollisuuden pohtia IoT-ratkaisujaan ja oppimistaan todellisen maailman ongelman kontekstissa, jonka he saattavat kohdata IoT-kehittäjänä. Opiskelijat oppivat rakentamiensa ratkaisujen "miksi" ja saavat arvostusta loppukäyttäjää kohtaan.
 
 ## Laitteisto
 
@@ -94,45 +100,44 @@ Meillä on kaksi vaihtoehtoa IoT-laitteistolle, joita voi käyttää projekteiss
 - lisälukemista
 - tehtävä
 - [oppitunnin jälkeinen kysely](https://ff-quizzes.netlify.app/en/)
-
-> **Huomio kyselyistä**: Kaikki kyselyt sisältyvät quiz-app-kansioon, yhteensä 48 kyselyä, joissa on kolme kysymystä kussakin. Ne on linkitetty oppituntien sisällä, mutta kyselysovelluksen voi ajaa paikallisesti tai julkaista Azureen; seuraa ohjeita `quiz-app`-kansiossa. Ne lokalisoidaan vähitellen.
+> **Huomio visailuista**: Kaikki visailut löytyvät quiz-app-kansiosta, yhteensä 48 visailua, joissa jokaisessa on kolme kysymystä. Ne on linkitetty oppitunneista, mutta visailusovellusta voi ajaa paikallisesti tai julkaista Azureen; seuraa ohjeita `quiz-app`-kansiossa. Visailut lokalisoidaan vähitellen.
 
 ## Oppitunnit
 
 |       |              Projektin nimi              |                       Opetettavat käsitteet                       | Oppimistavoitteet                                                                                                                                                 |                                                        Linkitetty oppitunti                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Aloita](./1-getting-started/README.md) |                     Johdatus IoT:hen                     | Opi IoT:n perusperiaatteet ja IoT-ratkaisujen perusosat, kuten sensorit ja pilvipalvelut, samalla kun asetat ensimmäisen IoT-laitteesi |                      [Johdatus IoT:hen](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Aloita](./1-getting-started/README.md) |                   Syvällisempi katsaus IoT:hen                    | Opi lisää IoT-järjestelmän komponenteista sekä mikrokontrollereista ja yksikorttitietokoneista                                                            |                        [Syvällisempi katsaus IoT:hen](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Aloita](./1-getting-started/README.md) | Vuorovaikutus fyysisen maailman kanssa sensoreilla ja toimilaitteilla | Opi sensoreista, jotka keräävät tietoa fyysisestä maailmasta, ja toimilaitteista, jotka lähettävät palautetta, samalla kun rakennat yövalon                                           | [Vuorovaikutus fyysisen maailman kanssa sensoreilla ja toimilaitteilla](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Aloita](./1-getting-started/README.md) |             Yhdistä laitteesi Internetiin             | Opi, kuinka IoT-laite yhdistetään Internetiin viestien lähettämistä ja vastaanottamista varten yhdistämällä yövalosi MQTT-välittäjään                               |               [Yhdistä laitteesi Internetiin](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Maatila](./2-farm/README.md)            |                    Ennusta kasvien kasvua                     | Opi ennustamaan kasvien kasvua IoT-laitteen keräämien lämpötilatietojen avulla                                                                                  |                          [Ennusta kasvien kasvua](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Maatila](./2-farm/README.md)            |                    Tunnista maaperän kosteus                     | Opi tunnistamaan maaperän kosteus ja kalibroimaan maaperän kosteusanturi                                                                                              |                          [Tunnista maaperän kosteus](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Maatila](./2-farm/README.md)            |                  Kasvien automaattinen kastelu                   | Opi automatisoimaan ja ajoittamaan kastelu releen ja MQTT:n avulla                                                                                                      |                      [Kasvien automaattinen kastelu](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Maatila](./2-farm/README.md)            |               Siirrä kasvisi pilveen               | Opi pilvipalveluista ja pilvessä isännöidyistä IoT-palveluista sekä siitä, kuinka yhdistät kasvisi johonkin niistä julkisen MQTT-välittäjän sijaan                                   |               [Siirrä kasvisi pilveen](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Maatila](./2-farm/README.md)            |         Siirrä sovelluslogiikkasi pilveen         | Opi, kuinka voit kirjoittaa sovelluslogiikkaa pilveen, joka reagoi IoT-viesteihin                                                                          |         [Siirrä sovelluslogiikkasi pilveen](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Maatila](./2-farm/README.md)            |                   Pidä kasvisi turvassa                    | Opi IoT-turvallisuudesta ja siitä, kuinka voit pitää kasvisi turvassa avainten ja sertifikaattien avulla                                                                          |                        [Pidä kasvisi turvassa](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Kuljetus](./3-transport/README.md)       |                      Sijainnin seuranta                      | Opi GPS-sijainnin seurannasta IoT-laitteille                                                                                                                   |                           [Sijainnin seuranta](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Kuljetus](./3-transport/README.md)       |                     Tallenna sijaintitiedot                     | Opi, kuinka IoT-tietoja tallennetaan myöhempää visualisointia tai analysointia varten                                                                                                      |                         [Tallenna sijaintitiedot](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Kuljetus](./3-transport/README.md)       |                   Visualisoi sijaintitiedot                   | Opi visualisoimaan sijaintitietoja kartalla ja kuinka kartat esittävät todellisen kolmiulotteisen maailman kaksiulotteisena                                                            |                     [Visualisoi sijaintitiedot](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Kuljetus](./3-transport/README.md)       |                          Geoaidat                          | Opi geoaidoista ja siitä, kuinka niitä voidaan käyttää hälyttämään, kun toimitusketjun ajoneuvot ovat lähellä määränpäätään                                           |                                   [Geoaidat](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Valmistus](./4-manufacturing/README.md)   |               Kouluta hedelmien laadun tunnistaja                | Opi kouluttamaan pilvessä kuvanluokittelija hedelmien laadun tunnistamiseksi                                                                                       |                 [Kouluta hedelmien laadun tunnistaja](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Valmistus](./4-manufacturing/README.md)   |           Tarkista hedelmien laatu IoT-laitteella            | Opi käyttämään hedelmien laadun tunnistajaa IoT-laitteella                                                                                                    |           [Tarkista hedelmien laatu IoT-laitteella](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Valmistus](./4-manufacturing/README.md)   |             Käytä hedelmien tunnistajaa reunalla             | Opi käyttämään hedelmien tunnistajaa IoT-laitteella reunalla                                                                                                |             [Käytä hedelmien tunnistajaa reunalla](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Valmistus](./4-manufacturing/README.md)   |        Käynnistä hedelmien laadun tunnistus sensorista        | Opi käynnistämään hedelmien laadun tunnistus sensorista                                                                                                        |        [Käynnistä hedelmien laadun tunnistus sensorista](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Vähittäiskauppa](./5-retail/README.md)          |                   Kouluta varastotunnistaja                    | Opi käyttämään objektintunnistusta varastotunnistajan kouluttamiseen kaupan varaston laskemista varten                                                                                |                        [Kouluta varastotunnistaja](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Vähittäiskauppa](./5-retail/README.md)          |               Tarkista varasto IoT-laitteella                | Opi tarkistamaan varasto IoT-laitteella käyttämällä objektintunnistusmallia                                                                                         |                     [Tarkista varasto IoT-laitteella](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Kuluttaja](./6-consumer/README.md)        |             Tunnista puhetta IoT-laitteella             | Opi tunnistamaan puhetta IoT-laitteella älykkään ajastimen rakentamiseksi                                                                                             |                  [Tunnista puhetta IoT-laitteella](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Kuluttaja](./6-consumer/README.md)        |                     Ymmärrä kieltä                     | Opi ymmärtämään IoT-laitteelle puhuttuja lauseita                                                                                                           |                        [Ymmärrä kieltä](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Kuluttaja](./6-consumer/README.md)        |           Aseta ajastin ja anna puhepalautetta           | Opi asettamaan ajastin IoT-laitteella ja antamaan puhepalautetta ajastimen asettamisesta ja sen päättymisestä                                                    |                 [Aseta ajastin ja anna puhepalautetta](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Kuluttaja](./6-consumer/README.md)        |                 Tue useita kieliä                  | Opi tukemaan useita kieliä, sekä IoT-laitteelle puhuttaessa että älykkään ajastimen vastauksissa                                                               |                   [Tue useita kieliä](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  01   | [Aloitetaan](./1-getting-started/README.md) |                     Johdatus IoT:hen                     | Opettele IoT:n perusperiaatteet ja IoT-ratkaisujen perusrakenteet, kuten sensorit ja pilvipalvelut, samalla kun asetat ensimmäisen IoT-laitteesi |                      [Johdatus IoT:hen](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Aloitetaan](./1-getting-started/README.md) |                   Syvällisempi katsaus IoT:hen                    | Opettele lisää IoT-järjestelmän komponenteista sekä mikro-ohjaimista ja yksikorttitietokoneista                                                            |                        [Syvällisempi katsaus IoT:hen](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Aloitetaan](./1-getting-started/README.md) | Vuorovaikutus fyysisen maailman kanssa sensoreilla ja toimilaitteilla | Opettele sensoreista, jotka keräävät dataa fyysisestä maailmasta, ja toimilaitteista, jotka lähettävät palautetta, samalla kun rakennat yövalon                                           | [Vuorovaikutus fyysisen maailman kanssa sensoreilla ja toimilaitteilla](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Aloitetaan](./1-getting-started/README.md) |             Yhdistä laitteesi Internetiin             | Opettele, kuinka IoT-laite yhdistetään Internetiin viestien lähettämistä ja vastaanottamista varten yhdistämällä yövalosi MQTT-välittäjään                               |               [Yhdistä laitteesi Internetiin](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Maatila](./2-farm/README.md)            |                    Ennusta kasvien kasvua                     | Opettele ennustamaan kasvien kasvua IoT-laitteen keräämän lämpötiladatan avulla                                                                                  |                          [Ennusta kasvien kasvua](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Maatila](./2-farm/README.md)            |                    Tunnista maaperän kosteus                     | Opettele tunnistamaan maaperän kosteus ja kalibroimaan maaperän kosteusanturi                                                                                              |                          [Tunnista maaperän kosteus](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Maatila](./2-farm/README.md)            |                  Kasvien automaattinen kastelu                   | Opettele automatisoimaan ja ajoittamaan kastelu releen ja MQTT:n avulla                                                                                                      |                      [Kasvien automaattinen kastelu](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Maatila](./2-farm/README.md)            |               Siirrä kasvisi pilveen               | Opettele pilvipalveluista ja pilvessä isännöidyistä IoT-palveluista sekä siitä, kuinka yhdistää kasvisi näihin julkisen MQTT-välittäjän sijaan                                   |               [Siirrä kasvisi pilveen](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Maatila](./2-farm/README.md)            |         Siirrä sovelluslogiikkasi pilveen         | Opettele, kuinka voit kirjoittaa sovelluslogiikkaa pilvessä, joka reagoi IoT-viesteihin                                                                          |         [Siirrä sovelluslogiikkasi pilveen](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Maatila](./2-farm/README.md)            |                   Pidä kasvisi turvassa                    | Opettele IoT:n turvallisuudesta ja siitä, kuinka pitää kasvisi turvassa avaimien ja sertifikaattien avulla                                                                          |                        [Pidä kasvisi turvassa](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Kuljetus](./3-transport/README.md)       |                      Sijainnin seuranta                      | Opettele GPS-sijainnin seurantaa IoT-laitteille                                                                                                                   |                           [Sijainnin seuranta](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Kuljetus](./3-transport/README.md)       |                     Tallenna sijaintidata                     | Opettele tallentamaan IoT-dataa visualisointia tai myöhempää analysointia varten                                                                                                      |                         [Tallenna sijaintidata](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Kuljetus](./3-transport/README.md)       |                   Visualisoi sijaintidata                   | Opettele visualisoimaan sijaintidata kartalla ja kuinka kartat esittävät todellisen 3D-maailman 2D-muodossa                                                            |                     [Visualisoi sijaintidata](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Kuljetus](./3-transport/README.md)       |                          Geoaidat                          | Opettele geoaidoista ja siitä, kuinka niitä voidaan käyttää hälyttämään, kun toimitusketjun ajoneuvot ovat lähellä määränpäätään                                           |                                   [Geoaidat](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Valmistus](./4-manufacturing/README.md)   |               Kouluta hedelmien laadun tunnistin                | Opettele kouluttamaan pilvessä kuvanluokittelija hedelmien laadun tunnistamiseen                                                                                       |                 [Kouluta hedelmien laadun tunnistin](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Valmistus](./4-manufacturing/README.md)   |           Tarkista hedelmien laatu IoT-laitteesta            | Opettele käyttämään hedelmien laadun tunnistinta IoT-laitteesta                                                                                                    |           [Tarkista hedelmien laatu IoT-laitteesta](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Valmistus](./4-manufacturing/README.md)   |             Käytä hedelmien tunnistinta reunalla             | Opettele käyttämään hedelmien tunnistinta IoT-laitteessa reunalla                                                                                                |             [Käytä hedelmien tunnistinta reunalla](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Valmistus](./4-manufacturing/README.md)   |        Käynnistä hedelmien laadun tunnistus sensorista        | Opettele käynnistämään hedelmien laadun tunnistus sensorista                                                                                                        |        [Käynnistä hedelmien laadun tunnistus sensorista](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Vähittäiskauppa](./5-retail/README.md)          |                   Kouluta varastotunnistin                    | Opettele käyttämään objektin tunnistusta varastotunnistimen kouluttamiseen varaston laskemista varten kaupassa                                                                                |                        [Kouluta varastotunnistin](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Vähittäiskauppa](./5-retail/README.md)          |               Tarkista varasto IoT-laitteesta                | Opettele tarkistamaan varasto IoT-laitteesta käyttämällä objektin tunnistusmallia                                                                                         |                     [Tarkista varasto IoT-laitteesta](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Kuluttaja](./6-consumer/README.md)        |             Tunnista puhe IoT-laitteella             | Opettele tunnistamaan puhetta IoT-laitteella älykkään ajastimen rakentamiseksi                                                                                             |                  [Tunnista puhe IoT-laitteella](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Kuluttaja](./6-consumer/README.md)        |                     Ymmärrä kieli                     | Opettele ymmärtämään IoT-laitteelle puhuttuja lauseita                                                                                                           |                        [Ymmärrä kieli](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Kuluttaja](./6-consumer/README.md)        |           Aseta ajastin ja anna puhepalautetta           | Opettele asettamaan ajastin IoT-laitteella ja antamaan puhepalautetta ajastimen asettamisesta ja sen päättymisestä                                                    |                 [Aseta ajastin ja anna puhepalautetta](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Kuluttaja](./6-consumer/README.md)        |                 Tue useita kieliä                  | Opettele tukemaan useita kieliä, sekä IoT-laitteelle puhuttuja että älykkään ajastimen vastauksia                                                               |                   [Tue useita kieliä](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline-käyttö
 
-Voit käyttää tätä dokumentaatiota offline-tilassa käyttämällä [Docsify](https://docsify.js.org/#/). Haaroita tämä repo, [asenna Docsify](https://docsify.js.org/#/quickstart) paikalliselle koneellesi ja kirjoita sitten tämän repon juurikansiossa `docsify serve`. Verkkosivusto palvelee portissa 3000 paikallisessa verkossasi: `localhost:3000`.
+Voit käyttää tätä dokumentaatiota offline-tilassa käyttämällä [Docsify](https://docsify.js.org/#/). Haaroita tämä repo, [asenna Docsify](https://docsify.js.org/#/quickstart) paikalliselle koneellesi ja kirjoita tämän repon juurikansiossa `docsify serve`. Verkkosivusto palvelee portissa 3000 paikallisessa isännässäsi: `localhost:3000`.
 
-## Tietovisa
+## Visailu
 
-Kiitos yhteisölle interaktiivisen tietovisan isännöinnistä, joka testaa tietosi jokaisesta luvusta. Voit testata tietosi [täällä](https://ff-quizzes.netlify.app/en/) 
+Kiitos yhteisölle interaktiivisen visailun isännöinnistä, joka testaa tietosi jokaisesta luvusta. Testaa tietosi [täällä](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
@@ -143,9 +148,9 @@ npm i
 npm run convert
 ```
 
-### Esitykset
+### Kalvot
 
-Joillekin oppitunneille on saatavilla esitysmateriaaleja [esitykset](../../slides) -kansiossa.
+Joillekin oppitunneille on saatavilla kalvosarjoja [slides](../../slides) -kansiossa.
 
 
 ## Muut opetusohjelmat
@@ -165,32 +170,34 @@ Tiimimme tuottaa muita opetusohjelmia! Tutustu:
 [![Generatiivinen AI aloittelijoille](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generatiivinen AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generatiivinen AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generatiivinen AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generatiivinen tekoäly (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Perusoppiminen
-[![ML aloittelijoille](https://img.shields.io/badge/ML%20aloittelijoille-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science aloittelijoille](https://img.shields.io/badge/Data%20Science%20aloittelijoille-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI aloittelijoille](https://img.shields.io/badge/AI%20aloittelijoille-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kyberturvallisuus aloittelijoille](https://img.shields.io/badge/Kyberturvallisuus%20aloittelijoille-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web-kehitys aloittelijoille](https://img.shields.io/badge/Web%20kehitys%20aloittelijoille-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT aloittelijoille](https://img.shields.io/badge/IoT%20aloittelijoille-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR-kehitys aloittelijoille](https://img.shields.io/badge/XR%20kehitys%20aloittelijoille-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Keskeiset oppimateriaalit
+[![ML aloittelijoille](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Data-analytiikka aloittelijoille](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Tekoäly aloittelijoille](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Kyberturvallisuus aloittelijoille](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![Web-kehitys aloittelijoille](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![IoT aloittelijoille](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![XR-kehitys aloittelijoille](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### Copilot-sarja  
-[![Copilot AI-pariohjelmointiin](https://img.shields.io/badge/Copilot%20AI-pariohjelmointiin-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET:lle](https://img.shields.io/badge/Copilot%20C%23/.NET:lle-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot-seikkailu](https://img.shields.io/badge/Copilot%20seikkailu-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot-sarja
+[![Copilot tekoälyavusteiseen ohjelmointiin](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot C#/.NET:lle](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+[![Copilot-seikkailu](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Kuvien lähteet  
+## Kuvien lähteet
 
-Kaikki tässä oppimateriaalissa käytettyjen kuvien lähteet löytyvät tarvittaessa [Lähteet](./attributions.md) -sivulta.  
+Kaikki tämän oppimateriaalin kuviin liittyvät lähteet löytyvät tarvittaessa [Lähteet](./attributions.md) -sivulta.
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Vastuuvapauslauseke**:  
-Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattiset käännökset voivat sisältää virheitä tai epätarkkuuksia. Alkuperäinen asiakirja sen alkuperäisellä kielellä tulisi pitää ensisijaisena lähteenä. Kriittisen tiedon osalta suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa väärinkäsityksistä tai virhetulkinnoista, jotka johtuvat tämän käännöksen käytöstä.
\ No newline at end of file
+Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattiset käännökset voivat sisältää virheitä tai epätarkkuuksia. Alkuperäistä asiakirjaa sen alkuperäisellä kielellä tulisi pitää ensisijaisena lähteenä. Kriittisen tiedon osalta suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa tämän käännöksen käytöstä johtuvista väärinkäsityksistä tai virhetulkinnoista.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/fr/README.md b/translations/fr/README.md
index cae43ef5d..d27dd6e10 100644
--- a/translations/fr/README.md
+++ b/translations/fr/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:52:27+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:06:09+00:00",
   "source_file": "README.md",
   "language_code": "fr"
 }
@@ -10,7 +10,7 @@ CO_OP_TRANSLATOR_METADATA:
 [![Licence GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
 [![Contributeurs GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
 [![Problèmes GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
-[![Demandes de tirage GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![Pull-requests GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
 [![PRs Bienvenus](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
 [![Observateurs GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
@@ -18,26 +18,33 @@ CO_OP_TRANSLATOR_METADATA:
 [![Étoiles GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### Rejoignez la communauté Azure AI Foundry  
-[![Discord Microsoft Azure AI Foundry](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
+
+Si vous êtes bloqué ou avez des questions sur la création d'applications d'IA, rejoignez d'autres apprenants et développeurs expérimentés pour discuter de MCP. C'est une communauté bienveillante où les questions sont les bienvenues et où le partage de connaissances est encouragé.  
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
+
+Si vous avez des retours sur le produit ou rencontrez des erreurs lors de la création, visitez :  
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
 Suivez ces étapes pour commencer à utiliser ces ressources :  
-1. **Forkez le dépôt** : Cliquez sur [![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+1. **Forkez le dépôt** : Cliquez [![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
 2. **Clonez le dépôt** : `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Rejoignez le Discord Azure AI Foundry et rencontrez des experts et d'autres développeurs**](https://discord.com/invite/ByRwuEEgH4)  
+3. [**Rejoignez le Discord Microsoft Foundry et rencontrez des experts et d'autres développeurs**](https://discord.com/invite/ByRwuEEgH4)  
 
 ### 🌐 Support multilingue  
 
-#### Supporté via GitHub Action (Automatisé et toujours à jour)  
+#### Pris en charge via GitHub Action (Automatisé et toujours à jour)  
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[Arabe](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgare](../bg/README.md) | [Birman (Myanmar)](../my/README.md) | [Chinois (simplifié)](../zh/README.md) | [Chinois (traditionnel, Hong Kong)](../hk/README.md) | [Chinois (traditionnel, Macao)](../mo/README.md) | [Chinois (traditionnel, Taïwan)](../tw/README.md) | [Croate](../hr/README.md) | [Tchèque](../cs/README.md) | [Danois](../da/README.md) | [Néerlandais](../nl/README.md) | [Estonien](../et/README.md) | [Finnois](../fi/README.md) | [Français](./README.md) | [Allemand](../de/README.md) | [Grec](../el/README.md) | [Hébreu](../he/README.md) | [Hindi](../hi/README.md) | [Hongrois](../hu/README.md) | [Indonésien](../id/README.md) | [Italien](../it/README.md) | [Japonais](../ja/README.md) | [Coréen](../ko/README.md) | [Lituanien](../lt/README.md) | [Malais](../ms/README.md) | [Marathi](../mr/README.md) | [Népalais](../ne/README.md) | [Norvégien](../no/README.md) | [Persan (Farsi)](../fa/README.md) | [Polonais](../pl/README.md) | [Portugais (Brésil)](../br/README.md) | [Portugais (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roumain](../ro/README.md) | [Russe](../ru/README.md) | [Serbe (Cyrillique)](../sr/README.md) | [Slovaque](../sk/README.md) | [Slovène](../sl/README.md) | [Espagnol](../es/README.md) | [Swahili](../sw/README.md) | [Suédois](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamoul](../ta/README.md) | [Thaï](../th/README.md) | [Turc](../tr/README.md) | [Ukrainien](../uk/README.md) | [Ourdou](../ur/README.md) | [Vietnamien](../vi/README.md)  
+[Arabe](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgare](../bg/README.md) | [Birman (Myanmar)](../my/README.md) | [Chinois (Simplifié)](../zh/README.md) | [Chinois (Traditionnel, Hong Kong)](../hk/README.md) | [Chinois (Traditionnel, Macao)](../mo/README.md) | [Chinois (Traditionnel, Taïwan)](../tw/README.md) | [Croate](../hr/README.md) | [Tchèque](../cs/README.md) | [Danois](../da/README.md) | [Néerlandais](../nl/README.md) | [Estonien](../et/README.md) | [Finnois](../fi/README.md) | [Français](./README.md) | [Allemand](../de/README.md) | [Grec](../el/README.md) | [Hébreu](../he/README.md) | [Hindi](../hi/README.md) | [Hongrois](../hu/README.md) | [Indonésien](../id/README.md) | [Italien](../it/README.md) | [Japonais](../ja/README.md) | [Coréen](../ko/README.md) | [Lituanien](../lt/README.md) | [Malais](../ms/README.md) | [Marathi](../mr/README.md) | [Népalais](../ne/README.md) | [Pidgin Nigérian](../pcm/README.md) | [Norvégien](../no/README.md) | [Persan (Farsi)](../fa/README.md) | [Polonais](../pl/README.md) | [Portugais (Brésil)](../br/README.md) | [Portugais (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roumain](../ro/README.md) | [Russe](../ru/README.md) | [Serbe (Cyrillique)](../sr/README.md) | [Slovaque](../sk/README.md) | [Slovène](../sl/README.md) | [Espagnol](../es/README.md) | [Swahili](../sw/README.md) | [Suédois](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamoul](../ta/README.md) | [Thaï](../th/README.md) | [Turc](../tr/README.md) | [Ukrainien](../uk/README.md) | [Ourdou](../ur/README.md) | [Vietnamien](../vi/README.md)  
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
 # IoT pour les débutants - Un programme  
 
-Les Cloud Advocates d'Azure chez Microsoft sont ravis de proposer un programme de 12 semaines et 24 leçons sur les bases de l'IoT. Chaque leçon inclut des quiz avant et après la leçon, des instructions écrites pour compléter la leçon, une solution, un devoir et bien plus. Notre pédagogie basée sur les projets vous permet d'apprendre tout en construisant, une méthode éprouvée pour que les nouvelles compétences soient bien assimilées.  
+Les Cloud Advocates d'Azure chez Microsoft sont ravis de proposer un programme de 12 semaines et 24 leçons sur les bases de l'IoT. Chaque leçon comprend des quiz avant et après la leçon, des instructions écrites pour compléter la leçon, une solution, un exercice et bien plus encore. Notre pédagogie basée sur les projets vous permet d'apprendre tout en construisant, une méthode éprouvée pour que les nouvelles compétences soient mieux assimilées.  
 
-Les projets couvrent le parcours des aliments de la ferme à la table. Cela inclut l'agriculture, la logistique, la fabrication, la vente au détail et le consommateur - tous des domaines industriels populaires pour les dispositifs IoT.  
+Les projets couvrent le parcours des aliments de la ferme à la table. Cela inclut l'agriculture, la logistique, la fabrication, la vente au détail et le consommateur - tous des domaines populaires pour les dispositifs IoT.  
 
 ![Une feuille de route du cours montrant 24 leçons couvrant l'introduction, l'agriculture, le transport, la transformation, la vente au détail et la cuisine](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.fr.jpg)  
 
@@ -57,7 +64,7 @@ Rencontrez l'équipe !
 
 > **Enseignants**, nous avons [inclus quelques suggestions](for-teachers.md) sur la façon d'utiliser ce programme. Si vous souhaitez créer vos propres leçons, nous avons également inclus un [modèle de leçon](lesson-template/README.md).  
 
-> **[Étudiants](https://aka.ms/student-page)**, pour utiliser ce programme par vous-même, fork le dépôt entier et complétez les exercices par vous-même, en commençant par un quiz avant la leçon, puis en lisant la leçon et en complétant le reste des activités. Essayez de créer les projets en comprenant les leçons plutôt qu'en copiant le code de la solution ; cependant, ce code est disponible dans les dossiers /solutions de chaque leçon basée sur un projet. Une autre idée serait de former un groupe d'étude avec des amis et de parcourir le contenu ensemble. Pour approfondir vos études, nous recommandons [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
+> **[Étudiants](https://aka.ms/student-page)**, pour utiliser ce programme par vous-même, fork le dépôt entier et complétez les exercices par vous-même, en commençant par un quiz avant la leçon, puis en lisant la leçon et en complétant le reste des activités. Essayez de créer les projets en comprenant les leçons plutôt qu'en copiant le code de solution ; cependant, ce code est disponible dans les dossiers /solutions de chaque leçon orientée projet. Une autre idée serait de former un groupe d'étude avec des amis et de parcourir le contenu ensemble. Pour approfondir vos connaissances, nous recommandons [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
 Pour une vue d'ensemble vidéo de ce cours, consultez cette vidéo :  
 
@@ -67,71 +74,70 @@ Pour une vue d'ensemble vidéo de ce cours, consultez cette vidéo :
 
 ## Pédagogie  
 
-Nous avons choisi deux principes pédagogiques lors de la création de ce programme : garantir qu'il est basé sur des projets et qu'il inclut des quiz fréquents. À la fin de cette série, les étudiants auront construit un système de surveillance et d'arrosage des plantes, un tracker de véhicule, une configuration d'usine intelligente pour suivre et vérifier les aliments, et un minuteur de cuisine contrôlé par la voix, et auront appris les bases de l'Internet des objets, y compris comment écrire du code pour les dispositifs, se connecter au cloud, analyser la télémétrie et exécuter l'IA à la périphérie.  
+Nous avons choisi deux principes pédagogiques lors de la création de ce programme : garantir qu'il est basé sur des projets et qu'il inclut des quiz fréquents. À la fin de cette série, les étudiants auront construit un système de surveillance et d'arrosage des plantes, un tracker de véhicule, une configuration d'usine intelligente pour suivre et vérifier les aliments, et un minuteur de cuisine contrôlé par la voix, et auront appris les bases de l'Internet des objets, y compris comment écrire du code pour les appareils, se connecter au cloud, analyser la télémétrie et exécuter l'IA en périphérie.  
 
 En veillant à ce que le contenu soit aligné sur des projets, le processus devient plus engageant pour les étudiants et la rétention des concepts est augmentée.  
 
-De plus, un quiz à faible enjeu avant un cours fixe l'intention de l'étudiant d'apprendre un sujet, tandis qu'un deuxième quiz après le cours assure une rétention supplémentaire. Ce programme a été conçu pour être flexible et amusant et peut être suivi en totalité ou en partie. Les projets commencent petits et deviennent de plus en plus complexes à la fin du cycle de 12 semaines.  
+De plus, un quiz à faible enjeu avant un cours fixe l'intention de l'étudiant d'apprendre un sujet, tandis qu'un deuxième quiz après le cours assure une meilleure rétention. Ce programme a été conçu pour être flexible et amusant et peut être suivi en totalité ou en partie. Les projets commencent petits et deviennent de plus en plus complexes à la fin du cycle de 12 semaines.  
 
-Chaque projet est basé sur du matériel réel disponible pour les étudiants et les amateurs. Chaque projet examine le domaine spécifique du projet, en fournissant des connaissances de base pertinentes. Pour être un développeur performant, il est utile de comprendre le domaine dans lequel vous résolvez des problèmes ; fournir ces connaissances de base permet aux étudiants de réfléchir à leurs solutions IoT et à leurs apprentissages dans le contexte du type de problème réel qu'ils pourraient être amenés à résoudre en tant que développeurs IoT. Les étudiants apprennent le 'pourquoi' des solutions qu'ils construisent et acquièrent une appréciation de l'utilisateur final.  
+Chaque projet est basé sur du matériel réel disponible pour les étudiants et les amateurs. Chaque projet examine le domaine spécifique du projet, en fournissant des connaissances de base pertinentes. Pour être un développeur performant, il est utile de comprendre le domaine dans lequel vous résolvez des problèmes ; fournir ces connaissances de base permet aux étudiants de réfléchir à leurs solutions IoT et à leurs apprentissages dans le contexte du type de problème réel qu'ils pourraient être amenés à résoudre en tant que développeur IoT. Les étudiants apprennent le "pourquoi" des solutions qu'ils construisent et acquièrent une appréciation de l'utilisateur final.  
 
 ## Matériel  
 
-Nous avons deux choix de matériel IoT à utiliser pour les projets en fonction des préférences personnelles, des connaissances ou préférences en matière de langage de programmation, des objectifs d'apprentissage et de la disponibilité. Nous avons également fourni une version 'matériel virtuel' pour ceux qui n'ont pas accès au matériel ou qui souhaitent en savoir plus avant de s'engager dans un achat. Vous pouvez en savoir plus et trouver une 'liste de courses' sur la [page matériel](./hardware.md), y compris des liens pour acheter des kits complets auprès de nos amis de Seeed Studio.  
+Nous avons deux choix de matériel IoT à utiliser pour les projets en fonction des préférences personnelles, des connaissances ou préférences en matière de langage de programmation, des objectifs d'apprentissage et de la disponibilité. Nous avons également fourni une version "matériel virtuel" pour ceux qui n'ont pas accès au matériel ou qui souhaitent en apprendre davantage avant de s'engager dans un achat. Vous pouvez en savoir plus et trouver une "liste de courses" sur la [page matériel](./hardware.md), y compris des liens pour acheter des kits complets auprès de nos amis de Seeed Studio.  
 
-> 💁 Retrouvez notre [Code de conduite](CODE_OF_CONDUCT.md), nos directives de [Contributions](CONTRIBUTING.md), et de [Traduction](TRANSLATIONS.md). Nous accueillons vos retours constructifs !  
+> 💁 Retrouvez notre [Code de conduite](CODE_OF_CONDUCT.md), nos [Directives de contribution](CONTRIBUTING.md), et nos [Directives de traduction](TRANSLATIONS.md). Nous accueillons vos retours constructifs !  
 
 ## Chaque leçon inclut :  
 
 - sketchnote  
-- vidéo complémentaire optionnelle  
+- vidéo optionnelle complémentaire  
 - quiz d'échauffement avant la leçon  
 - leçon écrite  
-- pour les leçons basées sur des projets, des guides étape par étape sur la façon de construire le projet  
+- pour les leçons basées sur des projets, guides étape par étape sur la façon de construire le projet  
 - vérifications des connaissances  
 - un défi  
 - lecture complémentaire  
-- devoir  
+- exercice  
 - [quiz après la leçon](https://ff-quizzes.netlify.app/en/)  
+> **Une note sur les quiz** : Tous les quiz sont contenus dans le dossier quiz-app, pour un total de 48 quiz de trois questions chacun. Ils sont liés dans les leçons, mais l'application de quiz peut être exécutée localement ou déployée sur Azure ; suivez les instructions dans le dossier `quiz-app`. Ils sont progressivement localisés.
 
-> **Une note sur les quiz** : Tous les quiz sont contenus dans le dossier quiz-app, pour un total de 48 quiz de trois questions chacun. Ils sont liés dans les leçons, mais l'application de quiz peut être exécutée localement ou déployée sur Azure ; suivez les instructions dans le dossier `quiz-app`. Ils sont progressivement localisés.  
+## Leçons
 
-## Leçons  
-
-|       |              Nom du projet              |                       Concepts enseignés                       | Objectifs d'apprentissage                                                                                                                                           |                                                        Leçon liée                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
+|       |              Nom du projet              |                       Concepts enseignés                       | Objectifs d'apprentissage                                                                                                                                           |                                                        Leçon liée                                                         |
+| :---: | :------------------------------------: | :-----------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-----------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Premiers pas](./1-getting-started/README.md) |                     Introduction à l'IoT                     | Apprenez les principes de base de l'IoT et les éléments fondamentaux des solutions IoT comme les capteurs et les services cloud tout en configurant votre premier appareil IoT |                      [Introduction à l'IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Premiers pas](./1-getting-started/README.md) |                   Approfondir l'IoT                    | Découvrez davantage les composants d'un système IoT, ainsi que les microcontrôleurs et les ordinateurs monocarte                                                            |                        [Approfondir l'IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Premiers pas](./1-getting-started/README.md) | Interagir avec le monde physique grâce aux capteurs et actionneurs | Apprenez à utiliser des capteurs pour collecter des données du monde physique et des actionneurs pour envoyer des retours, tout en construisant une veilleuse                                           | [Interagir avec le monde physique grâce aux capteurs et actionneurs](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Premiers pas](./1-getting-started/README.md) |             Connectez votre appareil à Internet             | Découvrez comment connecter un appareil IoT à Internet pour envoyer et recevoir des messages en connectant votre veilleuse à un broker MQTT                               |               [Connectez votre appareil à Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Ferme](./2-farm/README.md)            |                    Prédire la croissance des plantes                     | Apprenez à prédire la croissance des plantes en utilisant les données de température capturées par un appareil IoT                                                                                  |                          [Prédire la croissance des plantes](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Ferme](./2-farm/README.md)            |                    Détecter l'humidité du sol                     | Apprenez à détecter l'humidité du sol et à calibrer un capteur d'humidité du sol                                                                                              |                          [Détecter l'humidité du sol](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Ferme](./2-farm/README.md)            |                  Arrosage automatisé des plantes                   | Apprenez à automatiser et programmer l'arrosage en utilisant un relais et MQTT                                                                                                      |                      [Arrosage automatisé des plantes](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Ferme](./2-farm/README.md)            |               Migrer votre plante vers le cloud               | Découvrez le cloud et les services IoT hébergés dans le cloud, et comment connecter votre plante à l'un de ces services au lieu d'un broker MQTT public                                   |               [Migrer votre plante vers le cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Ferme](./2-farm/README.md)            |         Migrer la logique de votre application vers le cloud         | Découvrez comment écrire une logique d'application dans le cloud qui répond aux messages IoT                                                                          |         [Migrer la logique de votre application vers le cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Ferme](./2-farm/README.md)            |                   Sécuriser votre plante                    | Apprenez la sécurité avec l'IoT et comment protéger votre plante avec des clés et des certificats                                                                          |                        [Sécuriser votre plante](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Suivi de localisation                      | Découvrez le suivi de localisation GPS pour les appareils IoT                                                                                                                   |                           [Suivi de localisation](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Stocker les données de localisation                     | Apprenez à stocker les données IoT pour les visualiser ou les analyser plus tard                                                                                                      |                         [Stocker les données de localisation](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Visualiser les données de localisation                   | Découvrez comment visualiser les données de localisation sur une carte, et comment les cartes représentent le monde réel en 3D dans deux dimensions                                                            |                     [Visualiser les données de localisation](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Géofences                          | Découvrez les géofences et comment elles peuvent être utilisées pour alerter lorsque des véhicules de la chaîne d'approvisionnement sont proches de leur destination                                           |                                   [Géofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Fabrication](./4-manufacturing/README.md)   |               Entraîner un détecteur de qualité des fruits                | Découvrez comment entraîner un classificateur d'images dans le cloud pour détecter la qualité des fruits                                                                                       |                 [Entraîner un détecteur de qualité des fruits](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Fabrication](./4-manufacturing/README.md)   |           Vérifier la qualité des fruits depuis un appareil IoT            | Découvrez comment utiliser votre détecteur de qualité des fruits depuis un appareil IoT                                                                                                    |           [Vérifier la qualité des fruits depuis un appareil IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Fabrication](./4-manufacturing/README.md)   |             Exécuter votre détecteur de fruits en périphérie             | Découvrez comment exécuter votre détecteur de fruits sur un appareil IoT en périphérie                                                                                                |             [Exécuter votre détecteur de fruits en périphérie](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Fabrication](./4-manufacturing/README.md)   |        Déclencher la détection de qualité des fruits depuis un capteur        | Découvrez comment déclencher la détection de qualité des fruits depuis un capteur                                                                                                        |        [Déclencher la détection de qualité des fruits depuis un capteur](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Commerce](./5-retail/README.md)          |                   Entraîner un détecteur de stock                    | Découvrez comment utiliser la détection d'objets pour entraîner un détecteur de stock afin de compter les stocks dans un magasin                                                                                |                        [Entraîner un détecteur de stock](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Commerce](./5-retail/README.md)          |               Vérifier le stock depuis un appareil IoT                | Découvrez comment vérifier le stock depuis un appareil IoT en utilisant un modèle de détection d'objets                                                                                         |                     [Vérifier le stock depuis un appareil IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consommateur](./6-consumer/README.md)        |             Reconnaître la parole avec un appareil IoT             | Découvrez comment reconnaître la parole depuis un appareil IoT pour créer un minuteur intelligent                                                                                             |                  [Reconnaître la parole avec un appareil IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consommateur](./6-consumer/README.md)        |                     Comprendre le langage                     | Découvrez comment comprendre les phrases prononcées à un appareil IoT                                                                                                           |                        [Comprendre le langage](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consommateur](./6-consumer/README.md)        |           Régler un minuteur et fournir un retour vocal           | Découvrez comment régler un minuteur sur un appareil IoT et donner un retour vocal sur le moment où le minuteur est réglé et lorsqu'il se termine                                                    |                 [Régler un minuteur et fournir un retour vocal](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consommateur](./6-consumer/README.md)        |                 Prendre en charge plusieurs langues                  | Découvrez comment prendre en charge plusieurs langues, tant pour les commandes vocales que pour les réponses de votre minuteur intelligent                                                               |                   [Prendre en charge plusieurs langues](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  02   | [Premiers pas](./1-getting-started/README.md) |                   Approfondir l'IoT                    | Apprenez-en davantage sur les composants d'un système IoT, ainsi que sur les microcontrôleurs et les ordinateurs monocartes                                         |                        [Approfondir l'IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Premiers pas](./1-getting-started/README.md) | Interagir avec le monde physique grâce aux capteurs et actionneurs | Découvrez les capteurs pour collecter des données du monde physique et les actionneurs pour envoyer des retours, tout en construisant une veilleuse                 | [Interagir avec le monde physique grâce aux capteurs et actionneurs](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Premiers pas](./1-getting-started/README.md) |             Connecter votre appareil à Internet             | Apprenez à connecter un appareil IoT à Internet pour envoyer et recevoir des messages en connectant votre veilleuse à un broker MQTT                                |               [Connecter votre appareil à Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Ferme](./2-farm/README.md)            |                    Prédire la croissance des plantes                     | Apprenez à prédire la croissance des plantes en utilisant les données de température capturées par un appareil IoT                                                  |                          [Prédire la croissance des plantes](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Ferme](./2-farm/README.md)            |                    Détecter l'humidité du sol                     | Apprenez à détecter l'humidité du sol et à calibrer un capteur d'humidité du sol                                                                                     |                          [Détecter l'humidité du sol](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Ferme](./2-farm/README.md)            |                  Automatiser l'arrosage des plantes                   | Apprenez à automatiser et à programmer l'arrosage en utilisant un relais et MQTT                                                                                     |                      [Automatiser l'arrosage des plantes](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Ferme](./2-farm/README.md)            |               Migrer votre plante vers le cloud               | Découvrez le cloud et les services IoT hébergés dans le cloud, et comment connecter votre plante à l'un d'eux au lieu d'un broker MQTT public                       |               [Migrer votre plante vers le cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ferme](./2-farm/README.md)            |         Migrer la logique de votre application vers le cloud         | Apprenez à écrire une logique d'application dans le cloud qui répond aux messages IoT                                                                               |         [Migrer la logique de votre application vers le cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Ferme](./2-farm/README.md)            |                   Sécuriser votre plante                    | Apprenez la sécurité avec l'IoT et comment sécuriser votre plante avec des clés et des certificats                                                                  |                        [Sécuriser votre plante](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Suivi de localisation                      | Apprenez le suivi de localisation GPS pour les appareils IoT                                                                                                        |                           [Suivi de localisation](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Stocker les données de localisation                     | Apprenez à stocker les données IoT pour les visualiser ou les analyser ultérieurement                                                                               |                         [Stocker les données de localisation](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Visualiser les données de localisation                   | Découvrez comment visualiser les données de localisation sur une carte, et comment les cartes représentent le monde réel en 3D dans deux dimensions                 |                     [Visualiser les données de localisation](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Géofences                          | Découvrez les géofences et comment elles peuvent être utilisées pour alerter lorsque les véhicules de la chaîne d'approvisionnement sont proches de leur destination |                                   [Géofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Fabrication](./4-manufacturing/README.md)   |               Entraîner un détecteur de qualité des fruits                | Apprenez à entraîner un classificateur d'images dans le cloud pour détecter la qualité des fruits                                                                    |                 [Entraîner un détecteur de qualité des fruits](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Fabrication](./4-manufacturing/README.md)   |           Vérifier la qualité des fruits depuis un appareil IoT            | Apprenez à utiliser votre détecteur de qualité des fruits depuis un appareil IoT                                                                                    |           [Vérifier la qualité des fruits depuis un appareil IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Fabrication](./4-manufacturing/README.md)   |             Exécuter votre détecteur de fruits en périphérie             | Apprenez à exécuter votre détecteur de fruits sur un appareil IoT en périphérie                                                                                     |             [Exécuter votre détecteur de fruits en périphérie](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Fabrication](./4-manufacturing/README.md)   |        Déclencher la détection de qualité des fruits depuis un capteur        | Apprenez à déclencher la détection de qualité des fruits depuis un capteur                                                                                          |        [Déclencher la détection de qualité des fruits depuis un capteur](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Commerce](./5-retail/README.md)          |                   Entraîner un détecteur de stock                    | Apprenez à utiliser la détection d'objets pour entraîner un détecteur de stock afin de compter les stocks dans un magasin                                           |                        [Entraîner un détecteur de stock](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Commerce](./5-retail/README.md)          |               Vérifier le stock depuis un appareil IoT                | Apprenez à vérifier le stock depuis un appareil IoT en utilisant un modèle de détection d'objets                                                                    |                     [Vérifier le stock depuis un appareil IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consommateur](./6-consumer/README.md)        |             Reconnaître la parole avec un appareil IoT             | Apprenez à reconnaître la parole depuis un appareil IoT pour créer un minuteur intelligent                                                                          |                  [Reconnaître la parole avec un appareil IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Consommateur](./6-consumer/README.md)        |                     Comprendre le langage                     | Apprenez à comprendre les phrases prononcées à un appareil IoT                                                                                                      |                        [Comprendre le langage](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Consommateur](./6-consumer/README.md)        |           Régler un minuteur et fournir un retour vocal           | Apprenez à régler un minuteur sur un appareil IoT et à donner un retour vocal sur le moment où le minuteur est réglé et lorsqu'il se termine                        |                 [Régler un minuteur et fournir un retour vocal](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consommateur](./6-consumer/README.md)        |                 Prendre en charge plusieurs langues                  | Apprenez à prendre en charge plusieurs langues, tant pour les phrases prononcées que pour les réponses de votre minuteur intelligent                                |                   [Prendre en charge plusieurs langues](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Accès hors ligne
 
-Vous pouvez consulter cette documentation hors ligne en utilisant [Docsify](https://docsify.js.org/#/). Clonez ce dépôt, [installez Docsify](https://docsify.js.org/#/quickstart) sur votre machine locale, puis dans le dossier racine de ce dépôt, tapez `docsify serve`. Le site web sera accessible sur le port 3000 de votre localhost : `localhost:3000`.
+Vous pouvez exécuter cette documentation hors ligne en utilisant [Docsify](https://docsify.js.org/#/). Clonez ce dépôt, [installez Docsify](https://docsify.js.org/#/quickstart) sur votre machine locale, puis dans le dossier racine de ce dépôt, tapez `docsify serve`. Le site web sera servi sur le port 3000 de votre localhost : `localhost:3000`.
 
 ## Quiz
 
-Merci à la communauté d'avoir hébergé le quiz interactif qui teste vos connaissances sur chacun des chapitres. Testez vos connaissances [ici](https://ff-quizzes.netlify.app/en/) 
+Merci à la communauté d'héberger le quiz interactif qui teste vos connaissances sur chacun des chapitres. Testez vos connaissances [ici](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
@@ -144,51 +150,52 @@ npm run convert
 
 ### Diapositives
 
-Des présentations sont disponibles pour certaines leçons dans le dossier [slides](../../slides).
-
+Il existe des présentations pour certaines des leçons dans le dossier [slides](../../slides).
 
 ## Autres programmes
 
 Notre équipe produit d'autres programmes ! Découvrez :
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
-[![AZD pour les débutants](https://img.shields.io/badge/AZD%20pour%20les%20débutants-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![IA Edge pour les débutants](https://img.shields.io/badge/IA%20Edge%20pour%20les%20débutants-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP pour les débutants](https://img.shields.io/badge/MCP%20pour%20les%20débutants-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Agents IA pour les débutants](https://img.shields.io/badge/Agents%20IA%20pour%20les%20débutants-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD pour les débutants](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI pour les débutants](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP pour les débutants](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Agents IA pour les débutants](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Série IA Générative
-[![IA Générative pour les débutants](https://img.shields.io/badge/IA%20Générative%20pour%20les%20débutants-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![IA Générative (.NET)](https://img.shields.io/badge/IA%20Générative%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![IA Générative (Java)](https://img.shields.io/badge/IA%20Générative%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![IA Générative (JavaScript)](https://img.shields.io/badge/IA%20Générative%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![IA Générative pour les débutants](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA Générative (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![IA Générative (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![IA Générative (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Apprentissage Fondamental
-[![ML pour les débutants](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Science des données pour les débutants](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IA pour les débutants](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cybersécurité pour les débutants](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Développement web pour les débutants](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT pour les débutants](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Développement XR pour les débutants](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML pour Débutants](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Science des Données pour Débutants](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA pour Débutants](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersécurité pour Débutants](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Développement Web pour Débutants](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT pour Débutants](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Développement XR pour Débutants](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Série Copilot  
-[![Copilot pour la programmation en binôme avec IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot pour C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Aventure Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Série Copilot
+[![Copilot pour la Programmation en Binôme avec IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot pour C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Aventure Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Attributions des images  
+## Attributions des images
 
-Vous pouvez trouver toutes les attributions des images utilisées dans ce programme, si nécessaire, dans les [Attributions](./attributions.md).  
+Vous pouvez trouver toutes les attributions pour les images utilisées dans ce programme, si nécessaire, dans le fichier [Attributions](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Avertissement** :  
-Ce document a été traduit à l'aide du service de traduction automatique [Co-op Translator](https://github.com/Azure/co-op-translator). Bien que nous nous efforcions d'assurer l'exactitude, veuillez noter que les traductions automatisées peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d'origine doit être considéré comme la source faisant autorité. Pour des informations critiques, il est recommandé de recourir à une traduction humaine professionnelle. Nous ne sommes pas responsables des malentendus ou des interprétations erronées résultant de l'utilisation de cette traduction.
\ No newline at end of file
+Ce document a été traduit à l'aide du service de traduction automatique [Co-op Translator](https://github.com/Azure/co-op-translator). Bien que nous nous efforcions d'assurer l'exactitude, veuillez noter que les traductions automatiques peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d'origine doit être considéré comme la source faisant autorité. Pour des informations critiques, il est recommandé de recourir à une traduction humaine professionnelle. Nous ne sommes pas responsables des malentendus ou des interprétations erronées résultant de l'utilisation de cette traduction.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/he/README.md b/translations/he/README.md
index b7c0b8f86..821dd9d5a 100644
--- a/translations/he/README.md
+++ b/translations/he/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:16:19+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:52:24+00:00",
   "source_file": "README.md",
   "language_code": "he"
 }
@@ -11,45 +11,52 @@ CO_OP_TRANSLATOR_METADATA:
 [![תורמים ב-GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
 [![בעיות ב-GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
 [![בקשות משיכה ב-GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
+[![בקשות משיכה מתקבלות](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
 [![עוקבים ב-GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
 [![מזלגות ב-GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
 [![כוכבים ב-GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### הצטרפו לקהילת Azure AI Foundry  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
 
-בצעו את השלבים הבאים כדי להתחיל להשתמש במשאבים אלו:  
+אם אתם נתקעים או יש לכם שאלות על בניית אפליקציות AI, הצטרפו ללומדים אחרים ולמפתחים מנוסים לדיונים על MCP. זו קהילה תומכת שבה שאלות מתקבלות בברכה וידע משותף בחופשיות.  
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
+
+אם יש לכם משוב על מוצרים או שגיאות בזמן הבנייה, בקרו ב:  
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
+
+כדי להתחיל להשתמש במשאבים אלו, בצעו את השלבים הבאים:  
 1. **צרו מזלג למאגר**: לחצו [![מזלגות ב-GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
 2. **שכפלו את המאגר**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**הצטרפו ל-Azure AI Foundry Discord ופגשו מומחים ומפתחים נוספים**](https://discord.com/invite/ByRwuEEgH4)  
+3. [**הצטרפו ל-Microsoft Foundry Discord ופגשו מומחים ומפתחים אחרים**](https://discord.com/invite/ByRwuEEgH4)  
 
 ### 🌐 תמיכה רב-שפתית  
 
 #### נתמך באמצעות GitHub Action (אוטומטי ותמיד מעודכן)  
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (פשוטה)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טייוואן)](../tw/README.md) | [קרואטית](../hr/README.md) | [צ'כית](../cs/README.md) | [דנית](../da/README.md) | [הולנדית](../nl/README.md) | [אסטונית](../et/README.md) | [פינית](../fi/README.md) | [צרפתית](../fr/README.md) | [גרמנית](../de/README.md) | [יוונית](../el/README.md) | [עברית](./README.md) | [הינדית](../hi/README.md) | [הונגרית](../hu/README.md) | [אינדונזית](../id/README.md) | [איטלקית](../it/README.md) | [יפנית](../ja/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מרטהי](../mr/README.md) | [נפאלית](../ne/README.md) | [נורווגית](../no/README.md) | [פרסית (פרסית)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פונג'בית (גורמוקי)](../pa/README.md) | [רומנית](../ro/README.md) | [רוסית](../ru/README.md) | [סרבית (קירילית)](../sr/README.md) | [סלובקית](../sk/README.md) | [סלובנית](../sl/README.md) | [ספרדית](../es/README.md) | [סוואהילית](../sw/README.md) | [שוודית](../sv/README.md) | [טאגאלוג (פיליפינית)](../tl/README.md) | [טמילית](../ta/README.md) | [תאית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [וייטנאמית](../vi/README.md)  
+[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (פשוטה)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טייוואן)](../tw/README.md) | [קרואטית](../hr/README.md) | [צ'כית](../cs/README.md) | [דנית](../da/README.md) | [הולנדית](../nl/README.md) | [אסטונית](../et/README.md) | [פינית](../fi/README.md) | [צרפתית](../fr/README.md) | [גרמנית](../de/README.md) | [יוונית](../el/README.md) | [עברית](./README.md) | [הינדית](../hi/README.md) | [הונגרית](../hu/README.md) | [אינדונזית](../id/README.md) | [איטלקית](../it/README.md) | [יפנית](../ja/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מרטהי](../mr/README.md) | [נפאלית](../ne/README.md) | [ניגרית פידג'ין](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פרסית)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פונג'בית (גורמוכי)](../pa/README.md) | [רומנית](../ro/README.md) | [רוסית](../ru/README.md) | [סרבית (קירילית)](../sr/README.md) | [סלובקית](../sk/README.md) | [סלובנית](../sl/README.md) | [ספרדית](../es/README.md) | [סוואהילית](../sw/README.md) | [שוודית](../sv/README.md) | [טאגאלוג (פיליפינית)](../tl/README.md) | [טמילית](../ta/README.md) | [תאית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [וייטנאמית](../vi/README.md)  
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
 # IoT למתחילים - תוכנית לימודים  
 
-מומחי הענן של Azure במיקרוסופט שמחים להציע תוכנית לימודים בת 12 שבועות ו-24 שיעורים על יסודות ה-IoT. כל שיעור כולל מבחנים לפני ואחרי השיעור, הוראות כתובות להשלמת השיעור, פתרון, משימה ועוד. הפדגוגיה מבוססת הפרויקטים שלנו מאפשרת לכם ללמוד תוך כדי בנייה, שיטה מוכחת להטמעת מיומנויות חדשות.  
+מומחי הענן של Azure במיקרוסופט שמחים להציע תוכנית לימודים בת 12 שבועות ו-24 שיעורים על יסודות IoT. כל שיעור כולל מבחני חימום ומבחני סיכום, הוראות כתובות להשלמת השיעור, פתרון, משימה ועוד. הפדגוגיה מבוססת הפרויקטים שלנו מאפשרת לכם ללמוד תוך כדי בנייה, דרך מוכחת להטמעת מיומנויות חדשות.  
 
-הפרויקטים מכסים את המסע של מזון מהחווה ועד לשולחן. זה כולל חקלאות, לוגיסטיקה, ייצור, קמעונאות וצרכנות - כל אלו תחומים פופולריים עבור מכשירי IoT.  
+הפרויקטים מכסים את המסע של מזון מהחווה לשולחן. זה כולל חקלאות, לוגיסטיקה, ייצור, קמעונאות וצרכנות - כל אלו תחומים פופולריים עבור מכשירי IoT.  
 
 ![מפת דרכים לקורס המציגה 24 שיעורים המכסים מבוא, חקלאות, תחבורה, עיבוד, קמעונאות ובישול](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.he.jpg)  
 
-> איור מאת [ניטיה נאראסימן](https://github.com/nitya). לחצו על התמונה לגרסה גדולה יותר.  
+> סקצ'נוט מאת [ניטיה נאראסימן](https://github.com/nitya). לחצו על התמונה לגרסה גדולה יותר.  
 
-**תודה רבה למחברים שלנו [ג'ן פוקס](https://github.com/jenfoxbot), [ג'ן לופר](https://github.com/jlooper), [ג'ים בנט](https://github.com/jimbobbennett), ולאמנית האיורים שלנו [ניטיה נאראסימן](https://github.com/nitya).**  
+**תודה רבה למחברים שלנו [ג'ן פוקס](https://github.com/jenfoxbot), [ג'ן לופר](https://github.com/jlooper), [ג'ים בנט](https://github.com/jimbobbennett), ולאמנית הסקצ'נוט שלנו [ניטיה נאראסימן](https://github.com/nitya).**  
 
-**תודה גם לצוות [שגרירי הסטודנטים של Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) שסקרו ותרגמו את תוכנית הלימודים הזו - [אדיטיה גרג](https://github.com/AdityaGarg00), [אנוראאג שארמה](https://github.com/Anurag-0-1-A), [ארפיטה דאס](https://github.com/Arpiiitaaa), [אריאן ג'יין](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [בהאבש סונג'ה](https://github.com/EliteWarrior315), [פיית' הונג'ה](https://faithhunja.github.io/), [לטיפה בלו](https://www.linkedin.com/in/lateefah-bello/), [מנבי ג'ה](https://github.com/Severus-Matthew), [מיריי טאן](https://www.linkedin.com/in/mireille-tan-a4834819a/), [מוחמד איפטחר (איפטו) אבנה ג'לאל](https://github.com/Iftu119), [מוחמד זולפיקאר](https://github.com/mohzulfikar), [פריאנשו סריווסטב](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [תנמאי גאודוצ'רו](https://github.com/innovation-platform), ו[זינה כמאל](https://www.linkedin.com/in/zina-kamel/).**  
+**תודה גם לצוות [שגרירי הסטודנטים של Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) שסקרו ותרגמו את תוכנית הלימודים הזו - [אדיטיה גרג](https://github.com/AdityaGarg00), [אנוראאג שארמה](https://github.com/Anurag-0-1-A), [ארפיטה דאס](https://github.com/Arpiiitaaa), [אריאן ג'יין](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [בהאבש סונג'ה](https://github.com/EliteWarrior315), [פיית' הונג'ה](https://faithhunja.github.io/), [לטיפה בלו](https://www.linkedin.com/in/lateefah-bello/), [מנבי ג'ה](https://github.com/Severus-Matthew), [מירייל טאן](https://www.linkedin.com/in/mireille-tan-a4834819a/), [מוחמד איפטחר (איפטו) אבנה ג'לאל](https://github.com/Iftu119), [מוחמד זולפיקאר](https://github.com/mohzulfikar), [פריאנשו סריווסטב](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [תנמאי גאודוצ'רו](https://github.com/innovation-platform), ו[זינה כמאל](https://www.linkedin.com/in/zina-kamel/).**  
 
 הכירו את הצוות!  
 
-[![סרטון פרומו](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
+[![סרטון קידום](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
 **Gif מאת** [מוהיט ג'ייסאל](https://linkedin.com/in/mohitjaisal)  
 
@@ -57,33 +64,33 @@ CO_OP_TRANSLATOR_METADATA:
 
 > **מורים**, כללנו [כמה הצעות](for-teachers.md) כיצד להשתמש בתוכנית הלימודים הזו. אם תרצו ליצור שיעורים משלכם, כללנו גם [תבנית שיעור](lesson-template/README.md).  
 
-> **[סטודנטים](https://aka.ms/student-page)**, כדי להשתמש בתוכנית הלימודים הזו בעצמכם, צרו מזלג לכל המאגר והשלימו את התרגילים בעצמכם, החל ממבחן לפני השיעור, קריאת השיעור והשלמת שאר הפעילויות. נסו ליצור את הפרויקטים על ידי הבנת השיעורים במקום להעתיק את קוד הפתרון; עם זאת, קוד זה זמין בתיקיות /solutions בכל שיעור מבוסס פרויקט. רעיון נוסף הוא ליצור קבוצת לימוד עם חברים ולעבור על התוכן יחד. ללימוד נוסף, אנו ממליצים על [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
+> **[סטודנטים](https://aka.ms/student-page)**, כדי להשתמש בתוכנית הלימודים הזו בעצמכם, צרו מזלג לכל המאגר והשלימו את התרגילים בעצמכם, החל ממבחן לפני השיעור, קריאת השיעור והשלמת שאר הפעילויות. נסו ליצור את הפרויקטים על ידי הבנת השיעורים במקום להעתיק את קוד הפתרון; עם זאת, קוד זה זמין בתיקיות /solutions בכל שיעור מבוסס פרויקט. רעיון נוסף יהיה ליצור קבוצת לימוד עם חברים ולעבור על התוכן יחד. ללימוד נוסף, אנו ממליצים על [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
 לסקירה וידאו של הקורס, צפו בסרטון הזה:  
 
-[![סרטון פרומו](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "סרטון פרומו")  
+[![סרטון קידום](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "סרטון קידום")  
 
 > 🎥 לחצו על התמונה למעלה לצפייה בסרטון על הפרויקט!  
 
 ## פדגוגיה  
 
-בחרנו שני עקרונות פדגוגיים בעת בניית תוכנית הלימודים הזו: להבטיח שהיא מבוססת פרויקטים ושכוללת מבחנים תכופים. בסוף הסדרה, סטודנטים יבנו מערכת לניטור והשקיית צמחים, עוקב רכבים, מערכת מפעל חכמה למעקב ובדיקת מזון, וטיימר בישול מבוקר קול, וילמדו את יסודות האינטרנט של הדברים כולל כתיבת קוד למכשירים, חיבור לענן, ניתוח טלמטריה והפעלת AI בקצה.  
+בחרנו שני עקרונות פדגוגיים בעת בניית תוכנית הלימודים הזו: לוודא שהיא מבוססת פרויקטים ושכוללת מבחנים תכופים. בסוף הסדרה, סטודנטים יבנו מערכת לניטור והשקיית צמחים, עוקב רכב, מערכת מפעל חכמה למעקב ובדיקת מזון, וטיימר בישול מבוקר קול, וילמדו את יסודות האינטרנט של הדברים כולל כתיבת קוד למכשירים, חיבור לענן, ניתוח טלמטריה והרצת AI בקצה.  
 
-על ידי הבטחת התאמת התוכן לפרויקטים, התהליך הופך למרתק יותר עבור הסטודנטים וההבנה של המושגים תתחזק.  
+על ידי הבטחת התאמת התוכן לפרויקטים, התהליך נעשה יותר מרתק עבור הסטודנטים ושימור המושגים יוגבר.  
 
-בנוסף, מבחן בעל סיכון נמוך לפני שיעור מכוון את כוונת הסטודנט ללמידת הנושא, בעוד שמבחן שני לאחר השיעור מבטיח הבנה נוספת. תוכנית הלימודים הזו תוכננה להיות גמישה ומהנה וניתן לקחת אותה בשלמותה או בחלקים. הפרויקטים מתחילים קטנים והופכים מורכבים יותר עד סוף מחזור 12 השבועות.  
+בנוסף, מבחן בעל סיכון נמוך לפני השיעור מכוון את הסטודנט ללמידת הנושא, בעוד מבחן שני לאחר השיעור מבטיח שימור נוסף. תוכנית הלימודים הזו תוכננה להיות גמישה ומהנה וניתן לקחת אותה בשלמותה או בחלקים. הפרויקטים מתחילים קטנים והופכים מורכבים יותר בסוף מחזור 12 השבועות.  
 
-כל פרויקט מבוסס על חומרה אמיתית הזמינה לסטודנטים ולחובבים. כל פרויקט מתמקד בתחום פרויקט ספציפי ומספק ידע רקע רלוונטי. כדי להיות מפתח מצליח, חשוב להבין את התחום שבו פותרים בעיות. מתן ידע רקע זה מאפשר לסטודנטים לחשוב על פתרונות IoT שלהם ועל הלמידות בהקשר של סוג הבעיה האמיתית שהם עשויים להידרש לפתור כמפתחי IoT. הסטודנטים לומדים את ה'למה' של הפתרונות שהם בונים ומקבלים הערכה למשתמש הקצה.  
+כל פרויקט מבוסס על חומרה אמיתית הזמינה לסטודנטים ולחובבים. כל פרויקט מתעמק בתחום הפרויקט הספציפי, ומספק ידע רקע רלוונטי. כדי להיות מפתח מצליח, חשוב להבין את התחום שבו אתם פותרים בעיות. מתן ידע רקע זה מאפשר לסטודנטים לחשוב על פתרונות IoT שלהם ולמידותיהם בהקשר של סוג הבעיה האמיתית שהם עשויים להתבקש לפתור כמפתחי IoT. סטודנטים לומדים את ה'למה' של הפתרונות שהם בונים ומקבלים הערכה למשתמש הקצה.  
 
 ## חומרה  
 
-יש לנו שתי אפשרויות של חומרת IoT לשימוש בפרויקטים בהתאם להעדפה אישית, ידע או העדפות שפת תכנות, מטרות למידה וזמינות. בנוסף, סיפקנו גרסה של 'חומרה וירטואלית' עבור אלו שאין להם גישה לחומרה או שרוצים ללמוד יותר לפני שהם מתחייבים לרכישה. תוכלו לקרוא עוד ולמצוא 'רשימת קניות' בעמוד [החומרה](./hardware.md), כולל קישורים לרכישת ערכות שלמות מחברינו ב-Seeed Studio.  
+יש לנו שתי אפשרויות של חומרת IoT לשימוש בפרויקטים בהתאם להעדפה אישית, ידע או העדפות שפת תכנות, מטרות למידה וזמינות. סיפקנו גם גרסה של 'חומרה וירטואלית' עבור אלו שאין להם גישה לחומרה, או שרוצים ללמוד יותר לפני שהם מתחייבים לרכישה. תוכלו לקרוא עוד ולמצוא 'רשימת קניות' בעמוד [החומרה](./hardware.md), כולל קישורים לרכישת ערכות מלאות מחברינו ב-Seeed Studio.  
 
-> 💁 מצאו את [קוד ההתנהגות שלנו](CODE_OF_CONDUCT.md), [הנחיות לתרומה](CONTRIBUTING.md), ו[הנחיות לתרגום](TRANSLATIONS.md). נשמח לקבל את המשוב הבונה שלכם!  
+> 💁 מצאו את [קוד ההתנהגות](CODE_OF_CONDUCT.md), [תרומה](CONTRIBUTING.md), ו[הנחיות תרגום](TRANSLATIONS.md). נשמח לקבל את המשוב הבונה שלכם!  
 
 ## כל שיעור כולל:  
 
-- איור  
+- סקצ'נוט  
 - סרטון משלים אופציונלי  
 - מבחן חימום לפני השיעור  
 - שיעור כתוב  
@@ -92,46 +99,45 @@ CO_OP_TRANSLATOR_METADATA:
 - אתגר  
 - קריאה משלימה  
 - משימה  
-- [מבחן לאחר השיעור](https://ff-quizzes.netlify.app/en/)  
-
-> **הערה לגבי מבחנים**: כל המבחנים נמצאים בתיקיית quiz-app, עבור סך של 48 מבחנים עם שלוש שאלות כל אחד. הם מקושרים מתוך השיעורים אך ניתן להפעיל את אפליקציית המבחנים באופן מקומי או לפרוס אותה ל-Azure; עקבו אחר ההוראות בתיקיית `quiz-app`. הם מתורגמים בהדרגה.  
+- [מבחן סיכום לאחר השיעור](https://ff-quizzes.netlify.app/en/)  
+> **הערה לגבי חידונים**: כל החידונים נמצאים בתיקיית quiz-app, וישנם 48 חידונים בסך הכל, כל אחד עם שלוש שאלות. הם מקושרים מתוך השיעורים, אך ניתן להפעיל את אפליקציית החידונים באופן מקומי או לפרוס אותה ב-Azure; עקבו אחר ההוראות בתיקיית `quiz-app`. הם מתורגמים בהדרגה.
 
-## שיעורים  
+## שיעורים
 
-|       |              שם הפרויקט              |                       מושגים נלמדים                       | מטרות למידה                                                                                                                                                 |                                                        קישור לשיעור                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
-|  01   | [מתחילים](./1-getting-started/README.md) |                     מבוא ל-IoT                     | למדו את העקרונות הבסיסיים של IoT ואת אבני הבניין של פתרונות IoT כמו חיישנים ושירותי ענן תוך כדי הגדרת המכשיר הראשון שלכם |                      [מבוא ל-IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [מתחילים](./1-getting-started/README.md) |                   צלילה עמוקה יותר ל-IoT                    | למדו עוד על רכיבי מערכת IoT, כמו גם על מיקרו-בקרים ומחשבים חד-לוחיים                                                            |                        [צלילה עמוקה יותר ל-IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [מתחילים](./1-getting-started/README.md) | אינטראקציה עם העולם הפיזי באמצעות חיישנים ומפעילים | למדו על חיישנים לאיסוף נתונים מהעולם הפיזי ועל מפעילים לשליחת משוב, תוך כדי בניית מנורת לילה                                           | [אינטראקציה עם העולם הפיזי באמצעות חיישנים ומפעילים](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [מתחילים](./1-getting-started/README.md) |             חיבור המכשיר שלכם לאינטרנט             | למדו כיצד לחבר מכשיר IoT לאינטרנט כדי לשלוח ולקבל הודעות על ידי חיבור מנורת הלילה שלכם למתווך MQTT                               |               [חיבור המכשיר שלכם לאינטרנט](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|       |              שם הפרויקט              |                       מושגים נלמדים                       | מטרות למידה                                                                                                                                                 |                                                        שיעור מקושר                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [התחלה](./1-getting-started/README.md) |                     מבוא ל-IoT                     | למדו את העקרונות הבסיסיים של IoT ואת אבני הבניין הבסיסיות של פתרונות IoT כמו חיישנים ושירותי ענן תוך כדי הגדרת המכשיר הראשון שלכם |                      [מבוא ל-IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [התחלה](./1-getting-started/README.md) |                   צלילה עמוקה יותר ל-IoT                    | למדו עוד על רכיבי מערכת IoT, כמו גם על מיקרו-בקרים ומחשבים חד-לוחיים                                                            |                        [צלילה עמוקה יותר ל-IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [התחלה](./1-getting-started/README.md) | אינטראקציה עם העולם הפיזי באמצעות חיישנים ומפעילים | למדו על חיישנים לאיסוף נתונים מהעולם הפיזי, ומפעילים לשליחת משוב, תוך כדי בניית מנורת לילה                                           | [אינטראקציה עם העולם הפיזי באמצעות חיישנים ומפעילים](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [התחלה](./1-getting-started/README.md) |             חיבור המכשיר שלכם לאינטרנט             | למדו כיצד לחבר מכשיר IoT לאינטרנט כדי לשלוח ולקבל הודעות על ידי חיבור מנורת הלילה שלכם לשרת MQTT                               |               [חיבור המכשיר שלכם לאינטרנט](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [חקלאות](./2-farm/README.md)            |                    חיזוי צמיחת צמחים                     | למדו כיצד לחזות צמיחת צמחים באמצעות נתוני טמפרטורה שנאספו על ידי מכשיר IoT                                                                                  |                          [חיזוי צמיחת צמחים](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [חקלאות](./2-farm/README.md)            |                    זיהוי לחות קרקע                     | למדו כיצד לזהות לחות קרקע ולכוונן חיישן לחות קרקע                                                                                              |                          [זיהוי לחות קרקע](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  06   |            [חקלאות](./2-farm/README.md)            |                    זיהוי לחות קרקע                     | למדו כיצד לזהות לחות קרקע ולכוון חיישן לחות קרקע                                                                                              |                          [זיהוי לחות קרקע](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
 |  07   |            [חקלאות](./2-farm/README.md)            |                  השקיית צמחים אוטומטית                   | למדו כיצד לאוטומט ולהגדיר זמני השקיה באמצעות ממסר ו-MQTT                                                                                                      |                      [השקיית צמחים אוטומטית](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [חקלאות](./2-farm/README.md)            |               העברת הצמח שלכם לענן               | למדו על הענן ושירותי IoT מבוססי ענן וכיצד לחבר את הצמח שלכם לאחד מהם במקום למתווך MQTT ציבורי                                   |               [העברת הצמח שלכם לענן](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [חקלאות](./2-farm/README.md)            |         העברת לוגיקת האפליקציה שלכם לענן         | למדו כיצד לכתוב לוגיקת אפליקציה בענן שמגיבה להודעות IoT                                                                          |         [העברת לוגיקת האפליקציה שלכם לענן](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [חקלאות](./2-farm/README.md)            |                   שמירה על אבטחת הצמח שלכם                    | למדו על אבטחה עם IoT וכיצד לשמור על אבטחת הצמח שלכם באמצעות מפתחות ותעודות                                                                          |                        [שמירה על אבטחת הצמח שלכם](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [תחבורה](./3-transport/README.md)       |                      מעקב מיקום                      | למדו על מעקב מיקום GPS עבור מכשירי IoT                                                                                                                   |                           [מעקב מיקום](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [תחבורה](./3-transport/README.md)       |                     אחסון נתוני מיקום                     | למדו כיצד לאחסן נתוני IoT לצורך הצגה או ניתוח מאוחר יותר                                                                                                      |                         [אחסון נתוני מיקום](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [תחבורה](./3-transport/README.md)       |                   הצגת נתוני מיקום                   | למדו על הצגת נתוני מיקום על מפה, וכיצד מפות מייצגות את העולם התלת-ממדי האמיתי בשני ממדים                                                            |                     [הצגת נתוני מיקום](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [תחבורה](./3-transport/README.md)       |                          גדרות גיאוגרפיות                          | למדו על גדרות גיאוגרפיות וכיצד ניתן להשתמש בהן כדי להתריע כאשר כלי רכב בשרשרת האספקה קרובים ליעדם                                           |                                   [גדרות גיאוגרפיות](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [ייצור](./4-manufacturing/README.md)   |               אימון גלאי איכות פירות                | למדו על אימון מסווג תמונות בענן כדי לזהות איכות פירות                                                                                       |                 [אימון גלאי איכות פירות](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  08   |            [חקלאות](./2-farm/README.md)            |               העברת הצמח שלכם לענן               | למדו על הענן ושירותי IoT מבוססי ענן וכיצד לחבר את הצמח שלכם לאחד מהם במקום לשרת MQTT ציבורי                                   |               [העברת הצמח שלכם לענן](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [חקלאות](./2-farm/README.md)            |         העברת לוגיקת האפליקציה שלכם לענן         | למדו כיצד ניתן לכתוב לוגיקת אפליקציה בענן שמגיבה להודעות IoT                                                                          |         [העברת לוגיקת האפליקציה שלכם לענן](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [חקלאות](./2-farm/README.md)            |                   שמירה על אבטחת הצמח שלכם                    | למדו על אבטחה ב-IoT וכיצד לשמור על אבטחת הצמח שלכם באמצעות מפתחות ותעודות                                                                          |                        [שמירה על אבטחת הצמח שלכם](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [תחבורה](./3-transport/README.md)       |                      מעקב מיקום                      | למדו על מעקב מיקום GPS למכשירי IoT                                                                                                                   |                           [מעקב מיקום](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [תחבורה](./3-transport/README.md)       |                     אחסון נתוני מיקום                     | למדו כיצד לאחסן נתוני IoT לצורך ויזואליזציה או ניתוח מאוחר יותר                                                                                                      |                         [אחסון נתוני מיקום](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [תחבורה](./3-transport/README.md)       |                   ויזואליזציה של נתוני מיקום                   | למדו על ויזואליזציה של נתוני מיקום על מפה, וכיצד מפות מייצגות את העולם התלת-ממדי בממדיים                                                            |                     [ויזואליזציה של נתוני מיקום](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [תחבורה](./3-transport/README.md)       |                          גדרות גיאוגרפיות                          | למדו על גדרות גיאוגרפיות, וכיצד ניתן להשתמש בהן כדי להתריע כאשר כלי רכב בשרשרת האספקה קרובים ליעדם                                           |                                   [גדרות גיאוגרפיות](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [ייצור](./4-manufacturing/README.md)   |               אימון גלאי איכות פירות                | למדו על אימון מסווג תמונות בענן לזיהוי איכות פירות                                                                                       |                 [אימון גלאי איכות פירות](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
 |  16   |   [ייצור](./4-manufacturing/README.md)   |           בדיקת איכות פירות ממכשיר IoT            | למדו על שימוש בגלאי איכות הפירות שלכם ממכשיר IoT                                                                                                    |           [בדיקת איכות פירות ממכשיר IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [ייצור](./4-manufacturing/README.md)   |             הפעלת גלאי הפירות שלכם בקצה             | למדו על הפעלת גלאי הפירות שלכם ממכשיר IoT בקצה                                                                                                |             [הפעלת גלאי הפירות שלכם בקצה](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  17   |   [ייצור](./4-manufacturing/README.md)   |             הפעלת גלאי הפירות בקצה             | למדו על הפעלת גלאי הפירות שלכם ממכשיר IoT בקצה                                                                                                |             [הפעלת גלאי הפירות בקצה](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [ייצור](./4-manufacturing/README.md)   |        הפעלת זיהוי איכות פירות מחיישן        | למדו על הפעלת זיהוי איכות פירות מחיישן                                                                                                        |        [הפעלת זיהוי איכות פירות מחיישן](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [קמעונאות](./5-retail/README.md)          |                   אימון גלאי מלאי                    | למדו כיצד להשתמש בזיהוי אובייקטים כדי לאמן גלאי מלאי לספירת מלאי בחנות                                                                                |                        [אימון גלאי מלאי](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [קמעונאות](./5-retail/README.md)          |               בדיקת מלאי ממכשיר IoT                | למדו כיצד לבדוק מלאי ממכשיר IoT באמצעות מודל זיהוי אובייקטים                                                                                         |                     [בדיקת מלאי ממכשיר IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [צרכנות](./6-consumer/README.md)        |             זיהוי דיבור ממכשיר IoT             | למדו כיצד לזהות דיבור ממכשיר IoT כדי לבנות טיימר חכם                                                                                             |                  [זיהוי דיבור ממכשיר IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [צרכנות](./6-consumer/README.md)        |                     הבנת שפה                     | למדו כיצד להבין משפטים שנאמרים למכשיר IoT                                                                                                           |                        [הבנת שפה](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [צרכנות](./6-consumer/README.md)        |           הגדרת טיימר ומתן משוב קולי           | למדו כיצד להגדיר טיימר במכשיר IoT ולתת משוב קולי על מתי הטיימר מוגדר ומתי הוא מסתיים                                                    |                 [הגדרת טיימר ומתן משוב קולי](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [צרכנות](./6-consumer/README.md)        |                 תמיכה בשפות מרובות                  | למדו כיצד לתמוך בשפות מרובות, הן בשפה המדוברת והן בתגובות מהטיימר החכם שלכם                                                               |                   [תמיכה בשפות מרובות](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  24   |        [צרכנות](./6-consumer/README.md)        |                 תמיכה בשפות מרובות                  | למדו כיצד לתמוך בשפות מרובות, גם בדיבור וגם בתגובות מהטיימר החכם שלכם                                                               |                   [תמיכה בשפות מרובות](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## גישה לא מקוונת
 
-ניתן להפעיל את התיעוד הזה במצב לא מקוון באמצעות [Docsify](https://docsify.js.org/#/). עשו Fork למאגר הזה, [התקינו את Docsify](https://docsify.js.org/#/quickstart) במחשב המקומי שלכם, ואז בתיקיית השורש של המאגר הזה, הקלידו `docsify serve`. האתר יפעל על פורט 3000 ב-localhost שלכם: `localhost:3000`.
+ניתן להפעיל את התיעוד הזה במצב לא מקוון באמצעות [Docsify](https://docsify.js.org/#/). שיבטו את המאגר הזה, [התקינו את Docsify](https://docsify.js.org/#/quickstart) במחשב המקומי שלכם, ואז בתיקיית השורש של המאגר הזה, הקלידו `docsify serve`. האתר יפעל על פורט 3000 ב-localhost שלכם: `localhost:3000`.
 
 ## חידון
 
-תודה לקהילה על אירוח החידון האינטראקטיבי שבודק את הידע שלכם בכל אחד מהפרקים. תוכלו לבדוק את הידע שלכם [כאן](https://ff-quizzes.netlify.app/en/) 
+תודה לקהילה על אירוח החידון האינטראקטיבי שבודק את הידע שלכם על כל אחד מהפרקים. תוכלו לבדוק את הידע שלכם [כאן](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
@@ -144,9 +150,9 @@ npm run convert
 
 ### מצגות
 
-יש מצגות עבור חלק מהשיעורים בתיקיית [מצגות](../../slides).
+ישנן מצגות עבור חלק מהשיעורים בתיקיית [slides](../../slides).
 
-## תכניות לימוד אחרות
+## תכניות לימוד נוספות
 
 הצוות שלנו מייצר תכניות לימוד נוספות! בדקו:
 
@@ -162,31 +168,34 @@ npm run convert
 [![AI גנרטיבי למתחילים](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI גנרטיבי (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![AI גנרטיבי (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![AI גנרטיבי (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![בינה מלאכותית יוצרת (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### לימוד ליבה
-[![ML למתחילים](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![מדע נתונים למתחילים](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI למתחילים](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+### למידה בסיסית
+[![למידת מכונה למתחילים](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![מדעי הנתונים למתחילים](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![בינה מלאכותית למתחילים](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
 [![סייבר למתחילים](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
 [![פיתוח אתרים למתחילים](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT למתחילים](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![אינטרנט של הדברים למתחילים](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
 [![פיתוח XR למתחילים](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### סדרת Copilot  
-[![Copilot לתכנות זוגי מבוסס AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+### סדרת Copilot
+[![Copilot לתכנות זוגי עם AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
 [![Copilot ל-C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![הרפתקאות Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+[![הרפתקת Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## קרדיטים לתמונות  
+## קרדיטים לתמונות
 
-ניתן למצוא את כל הקרדיטים לתמונות שהשתמשנו בהן בתוכנית הלימודים, במידת הצורך, בקובץ [קרדיטים](./attributions.md).  
+ניתן למצוא את כל הקרדיטים לתמונות ששימשו בתוכנית הלימודים, במידת הצורך, ב-[קרדיטים](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **כתב ויתור**:  
-מסמך זה תורגם באמצעות שירות תרגום AI [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש להיות מודעים לכך שתרגומים אוטומטיים עשויים להכיל שגיאות או אי דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור סמכותי. עבור מידע קריטי, מומלץ להשתמש בתרגום מקצועי אנושי. איננו אחראים לאי הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה.
\ No newline at end of file
+מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עשויים להכיל שגיאות או אי-דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור הסמכותי. למידע קריטי, מומלץ להשתמש בתרגום מקצועי על ידי בני אדם. איננו אחראים לאי-הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/hi/README.md b/translations/hi/README.md
index 7c00a4ad1..5df04ab21 100644
--- a/translations/hi/README.md
+++ b/translations/hi/README.md
@@ -1,44 +1,52 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:02:28+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:26:14+00:00",
   "source_file": "README.md",
   "language_code": "hi"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub लाइसेंस](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub योगदानकर्ता](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub मुद्दे](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub पुल-रिक्वेस्ट](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
+[![PRs स्वागत है](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub देखने वाले](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub फोर्क्स](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
+[![GitHub स्टार्स](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Azure AI Foundry समुदाय में शामिल हों 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Azure AI Foundry समुदाय में शामिल हों
 
-इन संसाधनों का उपयोग शुरू करने के लिए निम्नलिखित चरणों का पालन करें:
-1. **रेपो को फोर्क करें**: क्लिक करें [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **रेपो को क्लोन करें**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord में शामिल हों और विशेषज्ञों और अन्य डेवलपर्स से मिलें**](https://discord.com/invite/ByRwuEEgH4)
+अगर आप किसी समस्या में फंस गए हैं या AI ऐप्स बनाने के बारे में कोई सवाल है। MCP पर चर्चा करने के लिए अन्य शिक्षार्थियों और अनुभवी डेवलपर्स के साथ जुड़ें। यह एक सहायक समुदाय है जहां सवालों का स्वागत किया जाता है और ज्ञान स्वतंत्र रूप से साझा किया जाता है।
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
 
-### 🌐 बहुभाषी समर्थन
+अगर आपको उत्पाद पर प्रतिक्रिया देनी है या निर्माण के दौरान कोई त्रुटि आती है तो यहां जाएं:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+इन संसाधनों का उपयोग शुरू करने के लिए इन चरणों का पालन करें:
+1. **रिपॉजिटरी को फोर्क करें**: क्लिक करें [![GitHub फोर्क्स](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **रिपॉजिटरी को क्लोन करें**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Microsoft Foundry Discord में शामिल हों और विशेषज्ञों और अन्य डेवलपर्स से मिलें**](https://discord.com/invite/ByRwuEEgH4)
+
+### 🌐 बहु-भाषा समर्थन
 
 #### GitHub Action के माध्यम से समर्थित (स्वचालित और हमेशा अद्यतन)
 
-[अरबी](../ar/README.md) | [बंगाली](../bn/README.md) | [बुल्गेरियन](../bg/README.md) | [बर्मी (म्यांमार)](../my/README.md) | [चीनी (सरलीकृत)](../zh/README.md) | [चीनी (पारंपरिक, हांगकांग)](../hk/README.md) | [चीनी (पारंपरिक, मकाऊ)](../mo/README.md) | [चीनी (पारंपरिक, ताइवान)](../tw/README.md) | [क्रोएशियाई](../hr/README.md) | [चेक](../cs/README.md) | [डेनिश](../da/README.md) | [डच](../nl/README.md) | [एस्टोनियन](../et/README.md) | [फिनिश](../fi/README.md) | [फ्रेंच](../fr/README.md) | [जर्मन](../de/README.md) | [ग्रीक](../el/README.md) | [हिब्रू](../he/README.md) | [हिंदी](./README.md) | [हंगेरियन](../hu/README.md) | [इंडोनेशियाई](../id/README.md) | [इतालवी](../it/README.md) | [जापानी](../ja/README.md) | [कोरियाई](../ko/README.md) | [लिथुआनियन](../lt/README.md) | [मलय](../ms/README.md) | [मराठी](../mr/README.md) | [नेपाली](../ne/README.md) | [नॉर्वेजियन](../no/README.md) | [फारसी (फारसी)](../fa/README.md) | [पोलिश](../pl/README.md) | [पुर्तगाली (ब्राज़ील)](../br/README.md) | [पुर्तगाली (पुर्तगाल)](../pt/README.md) | [पंजाबी (गुरमुखी)](../pa/README.md) | [रोमानियाई](../ro/README.md) | [रूसी](../ru/README.md) | [सर्बियाई (सिरिलिक)](../sr/README.md) | [स्लोवाक](../sk/README.md) | [स्लोवेनियाई](../sl/README.md) | [स्पेनिश](../es/README.md) | [स्वाहिली](../sw/README.md) | [स्वीडिश](../sv/README.md) | [टैगालोग (फिलिपिनो)](../tl/README.md) | [तमिल](../ta/README.md) | [थाई](../th/README.md) | [तुर्की](../tr/README.md) | [यूक्रेनी](../uk/README.md) | [उर्दू](../ur/README.md) | [वियतनामी](../vi/README.md)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
+[अरबी](../ar/README.md) | [बंगाली](../bn/README.md) | [बुल्गेरियन](../bg/README.md) | [बर्मी (म्यांमार)](../my/README.md) | [चीनी (सरलीकृत)](../zh/README.md) | [चीनी (पारंपरिक, हांगकांग)](../hk/README.md) | [चीनी (पारंपरिक, मकाऊ)](../mo/README.md) | [चीनी (पारंपरिक, ताइवान)](../tw/README.md) | [क्रोएशियन](../hr/README.md) | [चेक](../cs/README.md) | [डेनिश](../da/README.md) | [डच](../nl/README.md) | [एस्टोनियन](../et/README.md) | [फिनिश](../fi/README.md) | [फ्रेंच](../fr/README.md) | [जर्मन](../de/README.md) | [ग्रीक](../el/README.md) | [हिब्रू](../he/README.md) | [हिंदी](./README.md) | [हंगेरियन](../hu/README.md) | [इंडोनेशियन](../id/README.md) | [इतालवी](../it/README.md) | [जापानी](../ja/README.md) | [कोरियाई](../ko/README.md) | [लिथुआनियन](../lt/README.md) | [मलय](../ms/README.md) | [मराठी](../mr/README.md) | [नेपाली](../ne/README.md) | [नाइजीरियन पिजिन](../pcm/README.md) | [नॉर्वेजियन](../no/README.md) | [फारसी (फारसी)](../fa/README.md) | [पोलिश](../pl/README.md) | [पुर्तगाली (ब्राजील)](../br/README.md) | [पुर्तगाली (पुर्तगाल)](../pt/README.md) | [पंजाबी (गुरमुखी)](../pa/README.md) | [रोमानियन](../ro/README.md) | [रूसी](../ru/README.md) | [सर्बियन (सिरिलिक)](../sr/README.md) | [स्लोवाक](../sk/README.md) | [स्लोवेनियन](../sl/README.md) | [स्पेनिश](../es/README.md) | [स्वाहिली](../sw/README.md) | [स्वीडिश](../sv/README.md) | [टैगालोग (फिलिपिनो)](../tl/README.md) | [तमिल](../ta/README.md) | [थाई](../th/README.md) | [तुर्की](../tr/README.md) | [यूक्रेनी](../uk/README.md) | [उर्दू](../ur/README.md) | [वियतनामी](../vi/README.md)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT के लिए शुरुआती - एक पाठ्यक्रम
+# शुरुआती लोगों के लिए IoT - एक पाठ्यक्रम
 
-Microsoft के Azure Cloud Advocates ने IoT की मूल बातें सिखाने के लिए 12 सप्ताह का, 24 पाठों का पाठ्यक्रम पेश किया है। प्रत्येक पाठ में पाठ से पहले और बाद के क्विज़, पाठ पूरा करने के लिए लिखित निर्देश, समाधान, असाइनमेंट और बहुत कुछ शामिल है। हमारा प्रोजेक्ट-आधारित शिक्षण दृष्टिकोण आपको निर्माण करते हुए सीखने की अनुमति देता है, जो नई कौशलों को स्थायी बनाने का एक सिद्ध तरीका है।
+Microsoft के Azure Cloud Advocates ने IoT की मूल बातें सिखाने के लिए 12 सप्ताह, 24 पाठों का पाठ्यक्रम प्रदान किया है। प्रत्येक पाठ में पाठ से पहले और बाद के क्विज़, पाठ को पूरा करने के लिए लिखित निर्देश, समाधान, असाइनमेंट और बहुत कुछ शामिल है। हमारा प्रोजेक्ट-आधारित शिक्षण दृष्टिकोण आपको निर्माण करते हुए सीखने की अनुमति देता है, जो नए कौशल को स्थायी बनाने का एक सिद्ध तरीका है।
 
 ये प्रोजेक्ट भोजन की यात्रा को खेत से टेबल तक कवर करते हैं। इसमें खेती, लॉजिस्टिक्स, निर्माण, खुदरा और उपभोक्ता शामिल हैं - IoT उपकरणों के लिए सभी लोकप्रिय उद्योग क्षेत्र।
 
-![कोर्स का रोडमैप जिसमें 24 पाठ शामिल हैं: परिचय, खेती, परिवहन, प्रसंस्करण, खुदरा और खाना बनाना](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hi.jpg)
+![पाठ्यक्रम के लिए एक रोड मैप जिसमें परिचय, खेती, परिवहन, प्रसंस्करण, खुदरा और खाना पकाने को कवर करने वाले 24 पाठ दिखाए गए हैं](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hi.jpg)
 
 > स्केच नोट [नित्या नरसिम्हन](https://github.com/nitya) द्वारा। बड़े संस्करण के लिए छवि पर क्लिक करें।
 
@@ -52,33 +60,33 @@ Microsoft के Azure Cloud Advocates ने IoT की मूल बाते
 
 **Gif द्वारा** [मोहित जैसल](https://linkedin.com/in/mohitjaisal)
 
-> 🎥 ऊपर दी गई छवि पर क्लिक करें और प्रोजेक्ट के बारे में वीडियो देखें!
+> 🎥 ऊपर दी गई छवि पर क्लिक करें इस प्रोजेक्ट के बारे में वीडियो देखने के लिए!
 
-> **शिक्षकों**, हमने इस पाठ्यक्रम का उपयोग करने के लिए [कुछ सुझाव](for-teachers.md) शामिल किए हैं। यदि आप अपने स्वयं के पाठ बनाना चाहते हैं, तो हमने एक [पाठ टेम्पलेट](lesson-template/README.md) भी शामिल किया है।
+> **शिक्षकों**, हमने इस पाठ्यक्रम का उपयोग करने के लिए [कुछ सुझाव शामिल किए हैं](for-teachers.md)। यदि आप अपने पाठ बनाना चाहते हैं, तो हमने एक [पाठ टेम्पलेट](lesson-template/README.md) भी शामिल किया है।
 
-> **[छात्रों](https://aka.ms/student-page)**, इस पाठ्यक्रम का उपयोग अपने आप करने के लिए, पूरे रेपो को फोर्क करें और अपने आप अभ्यास करें। पहले प्री-लेक्चर क्विज़ लें, फिर लेक्चर पढ़ें और बाकी गतिविधियों को पूरा करें। कोशिश करें कि प्रोजेक्ट्स को समझकर बनाएं बजाय समाधान कोड को कॉपी करने के; हालांकि वह कोड प्रत्येक प्रोजेक्ट-उन्मुख पाठ में /solutions फोल्डर में उपलब्ध है। एक और विचार यह हो सकता है कि दोस्तों के साथ एक अध्ययन समूह बनाएं और सामग्री को एक साथ पढ़ें। आगे की पढ़ाई के लिए, हम [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) की सिफारिश करते हैं।
+> **[छात्रों](https://aka.ms/student-page)**, इस पाठ्यक्रम का उपयोग अपने आप करने के लिए, पूरे रिपॉजिटरी को फोर्क करें और अपने आप अभ्यास पूरा करें, एक प्री-लेक्चर क्विज़ से शुरू करें, फिर लेक्चर पढ़ें और बाकी गतिविधियों को पूरा करें। समाधान कोड की नकल करने के बजाय पाठों को समझकर प्रोजेक्ट बनाने का प्रयास करें; हालांकि वह कोड प्रत्येक प्रोजेक्ट-उन्मुख पाठ में /solutions फ़ोल्डर में उपलब्ध है। एक और विचार यह होगा कि दोस्तों के साथ एक अध्ययन समूह बनाएं और सामग्री को एक साथ देखें। आगे की पढ़ाई के लिए, हम [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) की सिफारिश करते हैं।
 
-इस कोर्स का वीडियो अवलोकन देखने के लिए, यह वीडियो देखें:
+इस पाठ्यक्रम का वीडियो अवलोकन देखने के लिए, इस वीडियो को देखें:
 
 [![प्रोमो वीडियो](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "प्रोमो वीडियो")
 
-> 🎥 ऊपर दी गई छवि पर क्लिक करें और प्रोजेक्ट के बारे में वीडियो देखें!
+> 🎥 ऊपर दी गई छवि पर क्लिक करें इस प्रोजेक्ट के बारे में वीडियो देखने के लिए!
 
 ## शिक्षण दृष्टिकोण
 
-हमने इस पाठ्यक्रम को बनाते समय दो शिक्षण दृष्टिकोण चुने हैं: यह सुनिश्चित करना कि यह प्रोजेक्ट-आधारित है और इसमें बार-बार क्विज़ शामिल हैं। इस श्रृंखला के अंत तक, छात्र एक पौधे की निगरानी और पानी देने की प्रणाली, एक वाहन ट्रैकर, एक स्मार्ट फैक्ट्री सेटअप जो भोजन को ट्रैक और जांच करता है, और एक वॉयस-कंट्रोल्ड कुकिंग टाइमर बनाएंगे। साथ ही, वे इंटरनेट ऑफ थिंग्स की मूल बातें सीखेंगे, जैसे कि डिवाइस कोड लिखना, क्लाउड से कनेक्ट करना, टेलीमेट्री का विश्लेषण करना और एज पर AI चलाना।
+हमने इस पाठ्यक्रम को बनाते समय दो शिक्षण दृष्टिकोण चुने हैं: यह सुनिश्चित करना कि यह प्रोजेक्ट-आधारित है और इसमें बार-बार क्विज़ शामिल हैं। इस श्रृंखला के अंत तक, छात्र एक पौधे की निगरानी और पानी देने की प्रणाली, एक वाहन ट्रैकर, एक स्मार्ट फैक्ट्री सेटअप जो भोजन को ट्रैक और जांचता है, और एक वॉयस-कंट्रोल कुकिंग टाइमर बनाएंगे, और इंटरनेट ऑफ थिंग्स की मूल बातें सीखेंगे जिसमें डिवाइस कोड लिखना, क्लाउड से कनेक्ट करना, टेलीमेट्री का विश्लेषण करना और एज पर AI चलाना शामिल है।
 
-सुनिश्चित करके कि सामग्री प्रोजेक्ट्स के साथ मेल खाती है, प्रक्रिया छात्रों के लिए अधिक आकर्षक बन जाती है और अवधारणाओं की समझ को बढ़ावा देती है।
+सुनिश्चित करके कि सामग्री प्रोजेक्ट्स के साथ मेल खाती है, प्रक्रिया छात्रों के लिए अधिक आकर्षक बन जाती है और अवधारणाओं की समझ को बढ़ाया जाता है।
 
-इसके अलावा, कक्षा से पहले एक कम दबाव वाला क्विज़ छात्र को विषय सीखने के लिए प्रेरित करता है, जबकि कक्षा के बाद दूसरा क्विज़ आगे की समझ सुनिश्चित करता है। यह पाठ्यक्रम लचीला और मजेदार बनाया गया है और इसे पूरे या आंशिक रूप से लिया जा सकता है। प्रोजेक्ट्स छोटे से शुरू होते हैं और 12 सप्ताह के चक्र के अंत तक धीरे-धीरे जटिल हो जाते हैं।
+इसके अलावा, कक्षा से पहले एक कम दबाव वाला क्विज़ छात्र को एक विषय सीखने के इरादे की ओर सेट करता है, जबकि कक्षा के बाद दूसरा क्विज़ आगे की समझ सुनिश्चित करता है। यह पाठ्यक्रम लचीला और मजेदार बनाया गया है और इसे पूरे या आंशिक रूप से लिया जा सकता है। प्रोजेक्ट छोटे से शुरू होते हैं और 12 सप्ताह के चक्र के अंत तक धीरे-धीरे जटिल हो जाते हैं।
 
-प्रत्येक प्रोजेक्ट छात्रों और शौकियों के लिए उपलब्ध वास्तविक हार्डवेयर पर आधारित है। प्रत्येक प्रोजेक्ट विशेष प्रोजेक्ट डोमेन में गहराई से जाता है और प्रासंगिक पृष्ठभूमि ज्ञान प्रदान करता है। एक सफल डेवलपर बनने के लिए, यह मदद करता है कि आप उस डोमेन को समझें जिसमें आप समस्याओं को हल कर रहे हैं। यह पृष्ठभूमि ज्ञान छात्रों को उनके IoT समाधान और सीखने को उस प्रकार की वास्तविक दुनिया की समस्या के संदर्भ में सोचने की अनुमति देता है जिसे उन्हें IoT डेवलपर के रूप में हल करने के लिए कहा जा सकता है। छात्र उन समाधानों के 'क्यों' को सीखते हैं जो वे बना रहे हैं और अंतिम उपयोगकर्ता की सराहना प्राप्त करते हैं।
+प्रत्येक प्रोजेक्ट वास्तविक दुनिया के हार्डवेयर पर आधारित है जो छात्रों और शौकियों के लिए उपलब्ध है। प्रत्येक प्रोजेक्ट विशिष्ट प्रोजेक्ट डोमेन में गहराई से जाता है, प्रासंगिक पृष्ठभूमि ज्ञान प्रदान करता है। एक सफल डेवलपर बनने के लिए यह मदद करता है कि आप उस डोमेन को समझें जिसमें आप समस्याओं को हल कर रहे हैं, यह पृष्ठभूमि ज्ञान छात्रों को उनके IoT समाधान और सीखने को उस प्रकार की वास्तविक दुनिया की समस्या के संदर्भ में सोचने की अनुमति देता है जिसे वे IoT डेवलपर के रूप में हल करने के लिए कहा जा सकता है। छात्र वे समाधान क्यों बना रहे हैं, यह समझते हैं और अंतिम उपयोगकर्ता की सराहना करते हैं।
 
 ## हार्डवेयर
 
-हमारे पास प्रोजेक्ट्स के लिए IoT हार्डवेयर के दो विकल्प हैं जो व्यक्तिगत पसंद, प्रोग्रामिंग भाषा ज्ञान या प्राथमिकताओं, सीखने के लक्ष्यों और उपलब्धता पर निर्भर करते हैं। हमने उन लोगों के लिए 'वर्चुअल हार्डवेयर' संस्करण भी प्रदान किया है जिनके पास हार्डवेयर तक पहुंच नहीं है, या खरीदने से पहले अधिक सीखना चाहते हैं। आप [हार्डवेयर पेज](./hardware.md) पर अधिक पढ़ सकते हैं और 'शॉपिंग लिस्ट' पा सकते हैं, जिसमें हमारे दोस्तों Seeed Studio से पूरी किट खरीदने के लिंक शामिल हैं।
+हमारे पास प्रोजेक्ट्स के लिए IoT हार्डवेयर के दो विकल्प हैं जो व्यक्तिगत पसंद, प्रोग्रामिंग भाषा ज्ञान या प्राथमिकताओं, सीखने के लक्ष्यों और उपलब्धता पर निर्भर करते हैं। हमने उन लोगों के लिए 'वर्चुअल हार्डवेयर' संस्करण भी प्रदान किया है जिनके पास हार्डवेयर तक पहुंच नहीं है, या खरीदने से पहले अधिक सीखना चाहते हैं। आप [हार्डवेयर पेज](./hardware.md) पर अधिक पढ़ सकते हैं और 'शॉपिंग लिस्ट' पा सकते हैं, जिसमें हमारे दोस्तों Seeed Studio से संपूर्ण किट खरीदने के लिंक शामिल हैं।
 
-> 💁 हमारा [आचार संहिता](CODE_OF_CONDUCT.md), [योगदान](CONTRIBUTING.md), और [अनुवाद](TRANSLATIONS.md) दिशानिर्देश देखें। हम आपकी रचनात्मक प्रतिक्रिया का स्वागत करते हैं!
+> 💁 हमारा [आचार संहिता](CODE_OF_CONDUCT.md), [योगदान](CONTRIBUTING.md), और [अनुवाद](TRANSLATIONS.md) दिशानिर्देश खोजें। हम आपकी रचनात्मक प्रतिक्रिया का स्वागत करते हैं!
 
 ## प्रत्येक पाठ में शामिल है:
 
@@ -91,50 +99,49 @@ Microsoft के Azure Cloud Advocates ने IoT की मूल बाते
 - एक चुनौती
 - पूरक पढ़ाई
 - असाइनमेंट
-- [पाठ के बाद का क्विज़](https://ff-quizzes.netlify.app/en/)
-
-> **क्विज़ के बारे में एक नोट**: सभी क्विज़ quiz-app फोल्डर में शामिल हैं, कुल 48 क्विज़ जिनमें प्रत्येक में तीन प्रश्न हैं। वे पाठों के भीतर से लिंक किए गए हैं लेकिन quiz-app को स्थानीय रूप से चलाया जा सकता है या Azure पर तैनात किया जा सकता है; `quiz-app` फोल्डर में दिए गए निर्देशों का पालन करें। वे धीरे-धीरे स्थानीयकृत किए जा रहे हैं।
+- [पाठ के बाद क्विज़](https://ff-quizzes.netlify.app/en/)
+> **क्विज़ के बारे में एक नोट**: सभी क्विज़ quiz-app फ़ोल्डर में हैं, जिसमें कुल 48 क्विज़ हैं, प्रत्येक में तीन प्रश्न हैं। ये पाठों के भीतर लिंक किए गए हैं, लेकिन quiz app को स्थानीय रूप से चलाया जा सकता है या Azure पर डिप्लॉय किया जा सकता है; `quiz-app` फ़ोल्डर में दिए गए निर्देशों का पालन करें। इन्हें धीरे-धीरे स्थानीयकृत किया जा रहा है।
 
 ## पाठ
 
-|       |              प्रोजेक्ट का नाम              |                       सिखाई गई अवधारणाएँ                       | सीखने के उद्देश्य                                                                                                                                                 |                                                        लिंक किया गया पाठ                                                         |
+|       |              प्रोजेक्ट का नाम              |                       सिखाए गए अवधारणाएँ                       | सीखने के उद्देश्य                                                                                                                                                 |                                                        लिंक किया गया पाठ                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [शुरुआत करें](./1-getting-started/README.md) |                     IoT का परिचय                     | IoT के मूल सिद्धांतों और IoT समाधान के मुख्य घटकों जैसे सेंसर और क्लाउड सेवाओं के बारे में जानें, साथ ही अपना पहला IoT डिवाइस सेटअप करें |                      [IoT का परिचय](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [शुरुआत करें](./1-getting-started/README.md) |                   IoT में गहराई से जानें                    | IoT सिस्टम के घटकों, माइक्रोकंट्रोलर्स और सिंगल-बोर्ड कंप्यूटर के बारे में अधिक जानें                                                            |                        [IoT में गहराई से जानें](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [शुरुआत करें](./1-getting-started/README.md) | सेंसर और एक्टुएटर्स के साथ भौतिक दुनिया से संपर्क करें | भौतिक दुनिया से डेटा इकट्ठा करने के लिए सेंसर और प्रतिक्रिया भेजने के लिए एक्टुएटर्स के बारे में जानें, साथ ही एक नाइटलाइट बनाएं                                           | [सेंसर और एक्टुएटर्स के साथ भौतिक दुनिया से संपर्क करें](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [शुरुआत करें](./1-getting-started/README.md) |             अपने डिवाइस को इंटरनेट से कनेक्ट करें             | जानें कि IoT डिवाइस को इंटरनेट से कैसे कनेक्ट करें ताकि संदेश भेजे और प्राप्त किए जा सकें, अपने नाइटलाइट को MQTT ब्रॉकर से जोड़ें                               |               [अपने डिवाइस को इंटरनेट से कनेक्ट करें](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [फार्म](./2-farm/README.md)            |                    पौधों की वृद्धि का पूर्वानुमान                     | IoT डिवाइस द्वारा कैप्चर किए गए तापमान डेटा का उपयोग करके पौधों की वृद्धि का पूर्वानुमान लगाना सीखें                                                                                  |                          [पौधों की वृद्धि का पूर्वानुमान](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [फार्म](./2-farm/README.md)            |                    मिट्टी की नमी का पता लगाएं                     | मिट्टी की नमी का पता लगाने और मिट्टी की नमी सेंसर को कैलिब्रेट करने का तरीका जानें                                                                                              |                          [मिट्टी की नमी का पता लगाएं](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  01   | [शुरुआत करें](./1-getting-started/README.md) |                     IoT का परिचय                     | IoT के मूल सिद्धांतों और IoT समाधान के मूल निर्माण खंडों जैसे सेंसर और क्लाउड सेवाओं को सीखें, जबकि आप अपना पहला IoT डिवाइस सेट कर रहे हैं |                      [IoT का परिचय](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [शुरुआत करें](./1-getting-started/README.md) |                   IoT में गहराई से जानें                    | IoT सिस्टम के घटकों के बारे में अधिक जानें, साथ ही माइक्रोकंट्रोलर और सिंगल-बोर्ड कंप्यूटर                                                            |                        [IoT में गहराई से जानें](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [शुरुआत करें](./1-getting-started/README.md) | सेंसर और एक्टुएटर के साथ भौतिक दुनिया के साथ इंटरैक्ट करें | भौतिक दुनिया से डेटा इकट्ठा करने के लिए सेंसर और प्रतिक्रिया भेजने के लिए एक्टुएटर के बारे में जानें, जबकि आप एक नाइटलाइट बनाते हैं                                           | [सेंसर और एक्टुएटर के साथ भौतिक दुनिया के साथ इंटरैक्ट करें](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [शुरुआत करें](./1-getting-started/README.md) |             अपने डिवाइस को इंटरनेट से कनेक्ट करें             | IoT डिवाइस को इंटरनेट से कनेक्ट करने के बारे में जानें ताकि संदेश भेजे और प्राप्त किए जा सकें, अपने नाइटलाइट को MQTT ब्रॉकर से कनेक्ट करके                               |               [अपने डिवाइस को इंटरनेट से कनेक्ट करें](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [फार्म](./2-farm/README.md)            |                    पौधों की वृद्धि का पूर्वानुमान लगाएं                     | IoT डिवाइस द्वारा कैप्चर किए गए तापमान डेटा का उपयोग करके पौधों की वृद्धि का पूर्वानुमान लगाना सीखें                                                                                  |                          [पौधों की वृद्धि का पूर्वानुमान लगाएं](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [फार्म](./2-farm/README.md)            |                    मिट्टी की नमी का पता लगाएं                     | मिट्टी की नमी का पता लगाना और मिट्टी की नमी सेंसर को कैलिब्रेट करना सीखें                                                                                              |                          [मिट्टी की नमी का पता लगाएं](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
 |  07   |            [फार्म](./2-farm/README.md)            |                  पौधों की पानी देने की प्रक्रिया को स्वचालित करें                   | रिले और MQTT का उपयोग करके पानी देने की प्रक्रिया को स्वचालित और समयबद्ध करना सीखें                                                                                                      |                      [पौधों की पानी देने की प्रक्रिया को स्वचालित करें](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [फार्म](./2-farm/README.md)            |               अपने पौधे को क्लाउड में स्थानांतरित करें               | क्लाउड और क्लाउड-होस्टेड IoT सेवाओं के बारे में जानें और अपने पौधे को सार्वजनिक MQTT ब्रॉकर के बजाय इनमें से किसी एक से कनेक्ट करें                                   |               [अपने पौधे को क्लाउड में स्थानांतरित करें](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [फार्म](./2-farm/README.md)            |         अपने एप्लिकेशन लॉजिक को क्लाउड में स्थानांतरित करें         | जानें कि IoT संदेशों पर प्रतिक्रिया देने के लिए क्लाउड में एप्लिकेशन लॉजिक कैसे लिखा जा सकता है                                                                          |         [अपने एप्लिकेशन लॉजिक को क्लाउड में स्थानांतरित करें](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  08   |            [फार्म](./2-farm/README.md)            |               अपने पौधे को क्लाउड में माइग्रेट करें               | क्लाउड और क्लाउड-होस्टेड IoT सेवाओं के बारे में जानें और अपने पौधे को सार्वजनिक MQTT ब्रॉकर के बजाय इनमें से किसी एक से कनेक्ट करें                                   |               [अपने पौधे को क्लाउड में माइग्रेट करें](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [फार्म](./2-farm/README.md)            |         अपने एप्लिकेशन लॉजिक को क्लाउड में माइग्रेट करें         | IoT संदेशों का जवाब देने के लिए क्लाउड में एप्लिकेशन लॉजिक लिखने के बारे में जानें                                                                          |         [अपने एप्लिकेशन लॉजिक को क्लाउड में माइग्रेट करें](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [फार्म](./2-farm/README.md)            |                   अपने पौधे को सुरक्षित रखें                    | IoT के साथ सुरक्षा के बारे में जानें और अपने पौधे को कुंजी और प्रमाणपत्रों के साथ सुरक्षित रखें                                                                          |                        [अपने पौधे को सुरक्षित रखें](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [परिवहन](./3-transport/README.md)       |                      स्थान ट्रैकिंग                      | IoT डिवाइस के लिए GPS स्थान ट्रैकिंग के बारे में जानें                                                                                                                   |                           [स्थान ट्रैकिंग](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [परिवहन](./3-transport/README.md)       |                     स्थान डेटा संग्रहीत करें                     | IoT डेटा को संग्रहीत करने का तरीका जानें ताकि इसे बाद में विज़ुअलाइज़ या विश्लेषण किया जा सके                                                                                                      |                         [स्थान डेटा संग्रहीत करें](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [परिवहन](./3-transport/README.md)       |                   स्थान डेटा को विज़ुअलाइज़ करें                   | मानचित्र पर स्थान डेटा को विज़ुअलाइज़ करने के बारे में जानें, और कैसे मानचित्र वास्तविक 3D दुनिया को 2 आयामों में प्रस्तुत करते हैं                                                            |                     [स्थान डेटा को विज़ुअलाइज़ करें](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [परिवहन](./3-transport/README.md)       |                          जियोफेंस                          | जियोफेंस के बारे में जानें, और कैसे आपूर्ति श्रृंखला में वाहन अपने गंतव्य के करीब होने पर अलर्ट के लिए उनका उपयोग कर सकते हैं                                           |                                   [जियोफेंस](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [निर्माण](./4-manufacturing/README.md)   |               फलों की गुणवत्ता डिटेक्टर को प्रशिक्षित करें                | क्लाउड में एक इमेज क्लासिफायर को प्रशिक्षित करने के बारे में जानें ताकि फलों की गुणवत्ता का पता लगाया जा सके                                                                                       |                 [फलों की गुणवत्ता डिटेक्टर को प्रशिक्षित करें](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [निर्माण](./4-manufacturing/README.md)   |           IoT डिवाइस से फलों की गुणवत्ता जांचें            | IoT डिवाइस से अपने फलों की गुणवत्ता डिटेक्टर का उपयोग करने के बारे में जानें                                                                                                    |           [IoT डिवाइस से फलों की गुणवत्ता जांचें](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [निर्माण](./4-manufacturing/README.md)   |             अपने फलों के डिटेक्टर को एज पर चलाएं             | एज पर IoT डिवाइस पर अपने फलों के डिटेक्टर को चलाने के बारे में जानें                                                                                                |             [अपने फलों के डिटेक्टर को एज पर चलाएं](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [निर्माण](./4-manufacturing/README.md)   |        सेंसर से फलों की गुणवत्ता डिटेक्शन को ट्रिगर करें        | सेंसर से फलों की गुणवत्ता डिटेक्शन को ट्रिगर करने के बारे में जानें                                                                                                        |        [सेंसर से फलों की गुणवत्ता डिटेक्शन को ट्रिगर करें](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [रिटेल](./5-retail/README.md)          |                   स्टॉक डिटेक्टर को प्रशिक्षित करें                    | वस्तु डिटेक्शन का उपयोग करके स्टॉक डिटेक्टर को प्रशिक्षित करने का तरीका जानें ताकि दुकान में स्टॉक की गिनती की जा सके                                                                                |                        [स्टॉक डिटेक्टर को प्रशिक्षित करें](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [रिटेल](./5-retail/README.md)          |               IoT डिवाइस से स्टॉक जांचें                | वस्तु डिटेक्शन मॉडल का उपयोग करके IoT डिवाइस से स्टॉक जांचने का तरीका जानें                                                                                         |                     [IoT डिवाइस से स्टॉक जांचें](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [उपभोक्ता](./6-consumer/README.md)        |             IoT डिवाइस के साथ भाषण को पहचानें             | IoT डिवाइस से भाषण को पहचानने का तरीका जानें ताकि एक स्मार्ट टाइमर बनाया जा सके                                                                                             |                  [IoT डिवाइस के साथ भाषण को पहचानें](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [उपभोक्ता](./6-consumer/README.md)        |                     भाषा को समझें                     | IoT डिवाइस से बोले गए वाक्यों को समझने का तरीका जानें                                                                                                           |                        [भाषा को समझें](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [उपभोक्ता](./6-consumer/README.md)        |           टाइमर सेट करें और बोले गए फीडबैक प्रदान करें           | IoT डिवाइस पर टाइमर सेट करने और जब टाइमर सेट हो और समाप्त हो तो बोले गए फीडबैक देने का तरीका जानें                                                    |                 [टाइमर सेट करें और बोले गए फीडबैक प्रदान करें](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [उपभोक्ता](./6-consumer/README.md)        |                 कई भाषाओं का समर्थन करें                  | कई भाषाओं का समर्थन करने का तरीका जानें, चाहे वह बोली जा रही हो या आपके स्मार्ट टाइमर से प्रतिक्रियाएं                                                               |                   [कई भाषाओं का समर्थन करें](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  11   |       [ट्रांसपोर्ट](./3-transport/README.md)       |                      स्थान ट्रैकिंग                      | IoT डिवाइस के लिए GPS स्थान ट्रैकिंग के बारे में जानें                                                                                                                   |                           [स्थान ट्रैकिंग](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [ट्रांसपोर्ट](./3-transport/README.md)       |                     स्थान डेटा संग्रहीत करें                     | IoT डेटा को संग्रहीत करना सीखें ताकि इसे बाद में विज़ुअलाइज़ या विश्लेषण किया जा सके                                                                                                      |                         [स्थान डेटा संग्रहीत करें](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [ट्रांसपोर्ट](./3-transport/README.md)       |                   स्थान डेटा को विज़ुअलाइज़ करें                   | मानचित्र पर स्थान डेटा को विज़ुअलाइज़ करने के बारे में जानें, और कैसे मानचित्र वास्तविक 3D दुनिया को 2 आयामों में दर्शाते हैं                                                            |                     [स्थान डेटा को विज़ुअलाइज़ करें](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [ट्रांसपोर्ट](./3-transport/README.md)       |                          जियोफेंस                          | जियोफेंस के बारे में जानें, और कैसे आपूर्ति श्रृंखला में वाहन अपने गंतव्य के करीब होने पर अलर्ट के लिए उनका उपयोग कर सकते हैं                                           |                                   [जियोफेंस](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [मैन्युफैक्चरिंग](./4-manufacturing/README.md)   |               फलों की गुणवत्ता डिटेक्टर को प्रशिक्षित करें                | क्लाउड में एक इमेज क्लासिफायर को प्रशिक्षित करना सीखें ताकि फलों की गुणवत्ता का पता लगाया जा सके                                                                                       |                 [फलों की गुणवत्ता डिटेक्टर को प्रशिक्षित करें](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [मैन्युफैक्चरिंग](./4-manufacturing/README.md)   |           IoT डिवाइस से फलों की गुणवत्ता की जांच करें            | IoT डिवाइस से अपने फलों की गुणवत्ता डिटेक्टर का उपयोग करना सीखें                                                                                                    |           [IoT डिवाइस से फलों की गुणवत्ता की जांच करें](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [मैन्युफैक्चरिंग](./4-manufacturing/README.md)   |             अपने फलों के डिटेक्टर को एज पर चलाएं             | एज पर IoT डिवाइस पर अपने फलों के डिटेक्टर को चलाना सीखें                                                                                                |             [अपने फलों के डिटेक्टर को एज पर चलाएं](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [मैन्युफैक्चरिंग](./4-manufacturing/README.md)   |        सेंसर से फलों की गुणवत्ता का पता लगाने को ट्रिगर करें        | सेंसर से फलों की गुणवत्ता का पता लगाने को ट्रिगर करना सीखें                                                                                                        |        [सेंसर से फलों की गुणवत्ता का पता लगाने को ट्रिगर करें](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [रिटेल](./5-retail/README.md)          |                   स्टॉक डिटेक्टर को प्रशिक्षित करें                    | वस्तु का पता लगाने का उपयोग करके स्टॉक डिटेक्टर को प्रशिक्षित करना सीखें ताकि दुकान में स्टॉक की गिनती की जा सके                                                                                |                        [स्टॉक डिटेक्टर को प्रशिक्षित करें](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [रिटेल](./5-retail/README.md)          |               IoT डिवाइस से स्टॉक की जांच करें                | वस्तु का पता लगाने वाले मॉडल का उपयोग करके IoT डिवाइस से स्टॉक की जांच करना सीखें                                                                                         |                     [IoT डिवाइस से स्टॉक की जांच करें](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [कंज्यूमर](./6-consumer/README.md)        |             IoT डिवाइस से भाषण को पहचानें             | IoT डिवाइस से भाषण को पहचानना सीखें ताकि एक स्मार्ट टाइमर बनाया जा सके                                                                                             |                  [IoT डिवाइस से भाषण को पहचानें](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [कंज्यूमर](./6-consumer/README.md)        |                     भाषा को समझें                     | IoT डिवाइस से बोले गए वाक्यों को समझना सीखें                                                                                                           |                        [भाषा को समझें](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [कंज्यूमर](./6-consumer/README.md)        |           टाइमर सेट करें और बोले गए फीडबैक प्रदान करें           | IoT डिवाइस पर टाइमर सेट करना और जब टाइमर सेट हो और जब समाप्त हो तो बोले गए फीडबैक प्रदान करना सीखें                                                    |                 [टाइमर सेट करें और बोले गए फीडबैक प्रदान करें](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [कंज्यूमर](./6-consumer/README.md)        |                 कई भाषाओं का समर्थन करें                  | कई भाषाओं का समर्थन करना सीखें, दोनों बोले जाने वाले और आपके स्मार्ट टाइमर से प्रतिक्रियाएं                                                               |                   [कई भाषाओं का समर्थन करें](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## ऑफलाइन एक्सेस
 
-आप इस दस्तावेज़ को ऑफलाइन [Docsify](https://docsify.js.org/#/) का उपयोग करके चला सकते हैं। इस रिपॉजिटरी को फोर्क करें, [Docsify इंस्टॉल करें](https://docsify.js.org/#/quickstart) अपने लोकल मशीन पर, और फिर इस रिपॉजिटरी के रूट फोल्डर में `docsify serve` टाइप करें। वेबसाइट आपके लोकलहोस्ट पर पोर्ट 3000 पर सर्व की जाएगी: `localhost:3000`।
+आप इस दस्तावेज़ को ऑफलाइन [Docsify](https://docsify.js.org/#/) का उपयोग करके चला सकते हैं। इस रिपॉजिटरी को फोर्क करें, [Docsify इंस्टॉल करें](https://docsify.js.org/#/quickstart) अपने स्थानीय मशीन पर, और फिर इस रिपॉजिटरी के रूट फ़ोल्डर में `docsify serve` टाइप करें। वेबसाइट आपके लोकलहोस्ट पर पोर्ट 3000 पर सर्व की जाएगी: `localhost:3000`।
 
 ## क्विज़
 
-समुदाय को धन्यवाद जिन्होंने इंटरएक्टिव क्विज़ होस्ट किया है जो प्रत्येक अध्याय पर आपके ज्ञान का परीक्षण करता है। आप अपना ज्ञान [यहां](https://ff-quizzes.netlify.app/en/) परीक्षण कर सकते हैं।
+समुदाय को धन्यवाद, जिन्होंने इंटरएक्टिव क्विज़ होस्ट किया है जो प्रत्येक अध्याय पर आपके ज्ञान का परीक्षण करता है। आप अपना ज्ञान [यहां](https://ff-quizzes.netlify.app/en/) परीक्षण कर सकते हैं।
 
-### पीडीएफ
+### PDF
 
-यदि आवश्यक हो तो आप इस सामग्री का पीडीएफ ऑफलाइन एक्सेस के लिए जनरेट कर सकते हैं। ऐसा करने के लिए, सुनिश्चित करें कि आपने [npm इंस्टॉल किया है](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) और इस रिपॉजिटरी के रूट फोल्डर में निम्नलिखित कमांड्स चलाएं:
+आप इस सामग्री का PDF ऑफलाइन एक्सेस के लिए जनरेट कर सकते हैं यदि आवश्यक हो। ऐसा करने के लिए, सुनिश्चित करें कि आपके पास [npm इंस्टॉल किया गया है](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) और इस रिपॉजिटरी के रूट फ़ोल्डर में निम्नलिखित कमांड चलाएं:
 
 ```sh
 npm i
@@ -143,49 +150,52 @@ npm run convert
 
 ### स्लाइड्स
 
-कुछ पाठों के लिए स्लाइड डेक [slides](../../slides) फोल्डर में उपलब्ध हैं।
+कुछ पाठों के लिए स्लाइड डेक [slides](../../slides) फ़ोल्डर में उपलब्ध हैं।
 
 ## अन्य पाठ्यक्रम
 
 हमारी टीम अन्य पाठ्यक्रम भी तैयार करती है! देखें:
 
 ### Azure / Edge / MCP / Agents
-[![शुरुआती के लिए AZD](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![शुरुआती के लिए Edge AI](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![शुरुआती के लिए MCP](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![शुरुआती के लिए AI Agents](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### जनरेटिव AI सीरीज
-[![शुरुआती के लिए जनरेटिव AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![जनरेटिव AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![जनरेटिव AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![जनरेटिव AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![जनरेटिव AI (जावास्क्रिप्ट)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### मुख्य शिक्षण
-[![शुरुआती लोगों के लिए मशीन लर्निंग](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![शुरुआती लोगों के लिए डेटा साइंस](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![शुरुआती लोगों के लिए कृत्रिम बुद्धिमत्ता](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![शुरुआती लोगों के लिए साइबर सुरक्षा](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![शुरुआती लोगों के लिए वेब विकास](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![शुरुआती लोगों के लिए IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![शुरुआती लोगों के लिए XR विकास](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+### मुख्य सीखने की सामग्री
+[![शुरुआती के लिए मशीन लर्निंग](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![शुरुआती के लिए डेटा साइंस](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![शुरुआती के लिए AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![शुरुआती के लिए साइबर सुरक्षा](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![शुरुआती के लिए वेब डेवलपमेंट](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![शुरुआती के लिए IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![शुरुआती के लिए XR डेवलपमेंट](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot सीरीज  
-[![AI जोड़ी प्रोग्रामिंग के लिए Copilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![C#/.NET के लिए Copilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot एडवेंचर](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### कोपायलट सीरीज
+[![AI पेयर्ड प्रोग्रामिंग के लिए कोपायलट](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![C#/.NET के लिए कोपायलट](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![कोपायलट एडवेंचर](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## छवि श्रेय  
-इस पाठ्यक्रम में उपयोग की गई छवियों के लिए सभी श्रेय [Attributions](./attributions.md) में पाए जा सकते हैं।  
+## छवि श्रेय
+
+इस पाठ्यक्रम में उपयोग की गई सभी छवियों के श्रेय आप [Attributions](./attributions.md) में पा सकते हैं।
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **अस्वीकरण**:  
-यह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनुवादित किया गया है। जबकि हम सटीकता के लिए प्रयास करते हैं, कृपया ध्यान दें कि स्वचालित अनुवाद में त्रुटियां या अशुद्धियां हो सकती हैं। मूल भाषा में दस्तावेज़ को आधिकारिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम जिम्मेदार नहीं हैं।
\ No newline at end of file
+यह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनुवादित किया गया है। जबकि हम सटीकता के लिए प्रयास करते हैं, कृपया ध्यान दें कि स्वचालित अनुवाद में त्रुटियां या अशुद्धियां हो सकती हैं। मूल भाषा में दस्तावेज़ को प्रामाणिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम उत्तरदायी नहीं हैं।
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/hk/README.md b/translations/hk/README.md
index 6acbb0143..c6e34dff3 100644
--- a/translations/hk/README.md
+++ b/translations/hk/README.md
@@ -1,141 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:59:21+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:19:57+00:00",
   "source_file": "README.md",
   "language_code": "hk"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### 加入 Azure AI Foundry 社群
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### 加入 Azure AI Foundry 社群  
 
-按照以下步驟開始使用這些資源：
-1. **Fork 此儲存庫**：點擊 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone 此儲存庫**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**加入 Azure AI Foundry Discord，與專家及其他開發者交流**](https://discord.com/invite/ByRwuEEgH4)
+如果你在建立 AI 應用程式時遇到困難或有任何疑問，歡迎加入其他學習者及有經驗的開發者的討論。這是一個支持性的社群，歡迎提問並自由分享知識。  
 
-### 🌐 多語言支援
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### 透過 GitHub Action 支援（自動化且保持最新）
+如果你在建立過程中遇到產品問題或錯誤，請訪問：  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [中文（簡體）](../zh/README.md) | [中文（繁體，香港）](./README.md) | [中文（繁體，澳門）](../mo/README.md) | [中文（繁體，台灣）](../tw/README.md) | [克羅埃西亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [義大利文](../it/README.md) | [日文](../ja/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [挪威文](../no/README.md) | [波斯文（法爾西語）](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文（巴西）](../br/README.md) | [葡萄牙文（葡萄牙）](../pt/README.md) | [旁遮普文（古木基文）](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文（西里爾字母）](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [他加祿文（菲律賓語）](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT 初學者課程
+以下是使用這些資源的步驟：  
+1. **Fork 此儲存庫**：點擊 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone 此儲存庫**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**加入 Microsoft Foundry Discord，與專家及其他開發者交流**](https://discord.com/invite/ByRwuEEgH4)  
 
-Microsoft 的 Azure Cloud Advocates 團隊很高興提供一個為期 12 週、共 24 節課的課程，內容涵蓋 IoT 基礎知識。每節課包括課前及課後測驗、完成課程的書面指導、解決方案、作業等。我們的專案式教學法讓您在建構中學習，這是一種能讓新技能更容易記住的有效方法。
+### 🌐 多語言支援  
 
-這些專案涵蓋食物從農場到餐桌的旅程，包括農業、物流、製造業、零售及消費者——這些都是 IoT 設備的熱門行業領域。
+#### 透過 GitHub Action 支援（自動化且保持最新）  
 
-![課程的路線圖，顯示 24 節課涵蓋介紹、農業、運輸、加工、零售及烹飪](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hk.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [簡體中文](../zh/README.md) | [繁體中文（香港）](./README.md) | [繁體中文（澳門）](../mo/README.md) | [繁體中文（台灣）](../tw/README.md) | [克羅地亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [意大利文](../it/README.md) | [日文](../ja/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文（巴西）](../br/README.md) | [葡萄牙文（葡萄牙）](../pt/README.md) | [旁遮普文](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文（西里爾字母）](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [塔加洛語（菲律賓語）](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> 由 [Nitya Narasimhan](https://github.com/nitya) 繪製的手繪筆記。點擊圖片查看更大的版本。
+# IoT 初學者課程  
 
-**衷心感謝我們的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett)，以及我們的手繪筆記藝術家 [Nitya Narasimhan](https://github.com/nitya)。**
+Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24 節課的課程，內容涵蓋 IoT 基礎知識。每節課包括課前及課後測驗、完成課程的書面指導、解決方案、作業等。我們的專案式教學法讓你在實作中學習，這是一種能讓新技能更容易記住的有效方法。  
 
-**同時感謝我們的 [Microsoft Learn 學生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他們已審核並翻譯了這份課程——[Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、以及 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
+這些專案涵蓋食物從農場到餐桌的旅程，包括農業、物流、製造、零售及消費者——這些都是 IoT 裝置的熱門行業領域。  
 
-認識我們的團隊！
+![課程路線圖，顯示 24 節課涵蓋介紹、農業、運輸、加工、零售及烹飪](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hk.jpg)  
 
-[![宣傳影片](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote 由 [Nitya Narasimhan](https://github.com/nitya) 創作。點擊圖片查看更大版本。  
 
-**Gif 作者** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**衷心感謝我們的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett) 以及我們的 sketchnote 藝術家 [Nitya Narasimhan](https://github.com/nitya)。**  
 
-> 🎥 點擊上方圖片觀看專案介紹影片！
+**同時感謝我們的 [Microsoft Learn 學生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他們已審核並翻譯了這份課程——[Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、以及 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**  
 
-> **教師們**，我們已[提供一些建議](for-teachers.md)供您使用此課程。如果您想創建自己的課程，我們也提供了[課程模板](lesson-template/README.md)。
+認識團隊！  
 
-> **[學生們](https://aka.ms/student-page)**，若想自行使用此課程，請 fork 整個儲存庫並自行完成練習，從課前測驗開始，然後閱讀課程並完成其他活動。嘗試透過理解課程內容來創建專案，而不是直接複製解決方案代碼；不過，該代碼可在每個專案課程的 /solutions 資料夾中找到。另一個建議是與朋友組成學習小組，一起學習內容。若需進一步學習，我們推薦 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
+[![宣傳影片](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-觀看此課程的影片概述，請查看以下影片：
+**Gif 由** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) 創作  
 
-[![宣傳影片](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "宣傳影片")
+> 🎥 點擊上方圖片觀看專案影片！  
 
-> 🎥 點擊上方圖片觀看專案介紹影片！
+> **教師們**，我們提供了一些 [建議](for-teachers.md) 供你使用這份課程。如果你想建立自己的課程，我們也提供了 [課程模板](lesson-template/README.md)。  
 
-## 教學法
+> **[學生們](https://aka.ms/student-page)**，如果你想自行使用這份課程，請 fork 整個儲存庫並自行完成練習，從課前測驗開始，然後閱讀課程內容並完成其他活動。嘗試透過理解課程內容來建立專案，而不是直接複製解決方案程式碼；不過，程式碼可在每個專案課程的 /solutions 資料夾中找到。另一個想法是與朋友組成學習小組，一起學習內容。若需進一步學習，我們推薦 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。  
 
-在設計此課程時，我們選擇了兩個教學原則：確保課程是專案導向的，並包含頻繁的測驗。完成此系列課程後，學生將建構一個植物監測及灌溉系統、一個車輛追蹤器、一個智慧工廠設置來追蹤及檢查食物，以及一個語音控制的烹飪計時器，並學習 IoT 的基礎知識，包括如何編寫設備代碼、連接雲端、分析遙測數據及在邊緣運行 AI。
+觀看課程概述影片：  
 
-透過確保內容與專案相符，學習過程對學生而言更具吸引力，且能增強概念的記憶。
+[![宣傳影片](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-此外，課前的低壓測驗能讓學生專注於學習主題，而課後的第二次測驗則能進一步加強記憶。此課程設計靈活有趣，可完整或部分學習。專案從簡單開始，並在 12 週的課程結束時逐漸變得複雜。
+> 🎥 點擊上方圖片觀看專案影片！  
 
-每個專案都基於學生及愛好者可獲得的真實硬體。每個專案都深入探討特定的專案領域，提供相關背景知識。成為成功的開發者需要了解您正在解決問題的領域，提供這些背景知識能讓學生在解決 IoT 問題及學習時，能以 IoT 開發者可能面臨的真實世界問題為背景進行思考。學生能學到他們所建構解決方案的「原因」，並對最終使用者有更深的理解。
+## 教學法  
 
-## 硬體
+我們在設計這份課程時選擇了兩個教學原則：確保課程是專案導向的，並且包含頻繁的測驗。在這系列課程結束時，學生將建立一個植物監測及灌溉系統、一個車輛追蹤器、一個智慧工廠設置來追蹤及檢查食物，以及一個語音控制的烹飪計時器，並學習 IoT 的基礎知識，包括如何撰寫裝置程式碼、連接雲端、分析遙測數據及在邊緣執行 AI。  
 
-我們提供了兩種 IoT 硬體選擇，供您根據個人喜好、程式語言知識或偏好、學習目標及可用性進行選擇。我們也提供了「虛擬硬體」版本，供那些無法獲得硬體或想在購買前進一步學習的人使用。您可以在[硬體頁面](./hardware.md)上閱讀更多資訊並找到購物清單，包括我們合作夥伴 Seeed Studio 提供的完整套件購買連結。
+透過確保內容與專案相符，學習過程對學生來說更具吸引力，概念的記憶也會得到增強。  
 
-> 💁 查看我們的 [行為準則](CODE_OF_CONDUCT.md)、[貢獻指南](CONTRIBUTING.md) 和 [翻譯指南](TRANSLATIONS.md)。我們歡迎您的建設性反饋！
+此外，課前的低壓測驗能讓學生專注於學習主題，而課後的第二次測驗則能進一步加強記憶。這份課程設計靈活有趣，可以完整學習或部分選擇。專案從簡單開始，並在 12 週的課程結束時逐漸變得複雜。  
 
-## 每節課包括：
+每個專案都基於學生及愛好者可用的真實硬體。每個專案都深入探討特定的專案領域，提供相關背景知識。要成為成功的開發者，了解你正在解決問題的領域非常重要，提供這些背景知識能讓學生在解決 IoT 問題及學習時，能以真實世界的問題為背景進行思考。學生能學到他們所建立解決方案的「原因」，並對最終使用者有更深的理解。  
 
-- 手繪筆記
-- 可選的補充影片
-- 課前暖身測驗
-- 書面課程
-- 專案課程的逐步建構指南
-- 知識檢查
-- 挑戰
-- 補充閱讀
-- 作業
-- [課後測驗](https://ff-quizzes.netlify.app/en/)
+## 硬體  
 
-> **關於測驗的說明**：所有測驗都包含在 quiz-app 資料夾中，共有 48 個測驗，每個測驗包含三個問題。測驗已在課程中提供連結，但 quiz-app 可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示操作。測驗正在逐步進行本地化。
+我們提供了兩種 IoT 硬體選擇，供專案使用，取決於個人偏好、程式語言知識或偏好、學習目標及可用性。我們也提供了「虛擬硬體」版本，供那些無法取得硬體或想在購買前學習更多的人使用。你可以在 [硬體頁面](./hardware.md) 上找到更多資訊及「購物清單」，包括我們的合作夥伴 Seeed Studio 提供的完整套件購買連結。  
+
+> 💁 查看我們的 [行為準則](CODE_OF_CONDUCT.md)、[貢獻指南](CONTRIBUTING.md) 及 [翻譯指南](TRANSLATIONS.md)。我們歡迎你的建設性意見！  
+
+## 每節課包括：  
+
+- sketchnote  
+- 可選的補充影片  
+- 課前暖身測驗  
+- 書面課程  
+- 專案課程的逐步指導，教你如何建立專案  
+- 知識檢查  
+- 挑戰  
+- 補充閱讀  
+- 作業  
+- [課後測驗](https://ff-quizzes.netlify.app/en/)  
+> **關於測驗的注意事項**：所有測驗都包含在 quiz-app 資料夾內，共有 48 個測驗，每個測驗包含三條問題。測驗已在課程中連結，但 quiz-app 可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示操作。測驗內容正在逐步本地化。
 
 ## 課程
 
-|       |              專案名稱              |                       教授概念                       | 學習目標                                                                                                                                                 |                                                        課程連結                                                         |
+|       |              項目名稱              |                       教授概念                       | 學習目標                                                                                                                                                 |                                                        相關課程                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [入門](./1-getting-started/README.md) |                     IoT 簡介                     | 學習 IoT 的基本原則以及 IoT 解決方案的基本構建模塊，例如感應器和雲端服務，同時設置您的第一個 IoT 設備 |                      [IoT 簡介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [入門](./1-getting-started/README.md) |                   深入了解 IoT                    | 更深入了解 IoT 系統的組件，以及微控制器和單板電腦                                                                 |                        [深入了解 IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [入門](./1-getting-started/README.md) | 使用感應器和執行器與物理世界互動 | 學習如何使用感應器收集物理世界的數據，以及使用執行器發送反饋，同時製作一個夜燈                                           | [使用感應器和執行器與物理世界互動](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  01   | [入門](./1-getting-started/README.md) |                     IoT 簡介                     | 學習 IoT 的基本原理以及 IoT 解決方案的基本構件，例如感應器和雲端服務，同時設置您的第一個 IoT 設備 |                      [IoT 簡介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [入門](./1-getting-started/README.md) |                   深入了解 IoT                    | 更深入了解 IoT 系統的組件，以及微控制器和單板電腦                                                            |                        [深入了解 IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [入門](./1-getting-started/README.md) | 使用感應器和執行器與物理世界互動 | 學習如何使用感應器收集物理世界的數據，以及使用執行器提供反饋，同時製作一個夜燈                                           | [使用感應器和執行器與物理世界互動](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
 |  04   | [入門](./1-getting-started/README.md) |             將您的設備連接到互聯網             | 學習如何將 IoT 設備連接到互聯網以發送和接收消息，通過將您的夜燈連接到 MQTT broker                               |               [將您的設備連接到互聯網](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [農業](./2-farm/README.md)            |                    預測植物生長                     | 學習如何使用 IoT 設備捕獲的溫度數據來預測植物生長                                                                                  |                          [預測植物生長](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [農業](./2-farm/README.md)            |                    檢測土壤濕度                     | 學習如何檢測土壤濕度並校準土壤濕度感應器                                                                                              |                          [檢測土壤濕度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [農業](./2-farm/README.md)            |                  自動植物澆水                   | 學習如何使用繼電器和 MQTT 自動化和定時澆水                                                                                                      |                      [自動植物澆水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [農業](./2-farm/README.md)            |               將您的植物遷移到雲端               | 學習雲端和雲端托管的 IoT 服務，以及如何將您的植物連接到其中之一，而不是公共 MQTT broker                                   |               [將您的植物遷移到雲端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [農業](./2-farm/README.md)            |         將您的應用邏輯遷移到雲端         | 學習如何在雲端編寫應用邏輯以響應 IoT 消息                                                                          |         [將您的應用邏輯遷移到雲端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [農業](./2-farm/README.md)            |                   保護您的植物安全                    | 學習 IoT 的安全性以及如何使用密鑰和證書保護您的植物                                                                          |                        [保護您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  05   |            [農場](./2-farm/README.md)            |                    預測植物生長                     | 學習如何使用 IoT 設備捕獲的溫度數據來預測植物生長                                                                                  |                          [預測植物生長](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [農場](./2-farm/README.md)            |                    檢測土壤濕度                     | 學習如何檢測土壤濕度並校準土壤濕度感應器                                                                                              |                          [檢測土壤濕度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [農場](./2-farm/README.md)            |                  自動植物澆水                   | 學習如何使用繼電器和 MQTT 自動化和定時澆水                                                                                                      |                      [自動植物澆水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [農場](./2-farm/README.md)            |               將您的植物遷移到雲端               | 學習雲端和雲端托管的 IoT 服務，以及如何將您的植物連接到這些服務，而不是公共 MQTT broker                                   |               [將您的植物遷移到雲端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [農場](./2-farm/README.md)            |         將您的應用邏輯遷移到雲端         | 學習如何在雲端編寫應用邏輯以響應 IoT 消息                                                                          |         [將您的應用邏輯遷移到雲端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [農場](./2-farm/README.md)            |                   保護您的植物安全                    | 學習 IoT 安全性以及如何使用密鑰和證書保護您的植物                                                                          |                        [保護您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [交通](./3-transport/README.md)       |                      位置追蹤                      | 學習 IoT 設備的 GPS 位置追蹤                                                                                                                   |                           [位置追蹤](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [交通](./3-transport/README.md)       |                     存儲位置數據                     | 學習如何存儲 IoT 數據以供日後可視化或分析                                                                                                      |                         [存儲位置數據](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  12   |       [交通](./3-transport/README.md)       |                     儲存位置數據                     | 學習如何儲存 IoT 數據以供日後可視化或分析                                                                                                      |                         [儲存位置數據](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [交通](./3-transport/README.md)       |                   可視化位置數據                   | 學習如何在地圖上可視化位置數據，以及地圖如何將真實的三維世界以二維方式呈現                                                            |                     [可視化位置數據](./3-transport/lessons/3-visualize-location-data/README.md)                     |
 |  14   |       [交通](./3-transport/README.md)       |                          地理圍欄                          | 學習地理圍欄，以及如何在供應鏈中的車輛接近目的地時發出警報                                           |                                   [地理圍欄](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [製造業](./4-manufacturing/README.md)   |               訓練水果品質檢測器                | 學習如何在雲端訓練圖像分類器以檢測水果品質                                                                                       |                 [訓練水果品質檢測器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  15   |   [製造業](./4-manufacturing/README.md)   |               訓練水果品質檢測器                | 學習如何在雲端訓練影像分類器以檢測水果品質                                                                                       |                 [訓練水果品質檢測器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
 |  16   |   [製造業](./4-manufacturing/README.md)   |           從 IoT 設備檢查水果品質            | 學習如何從 IoT 設備使用您的水果品質檢測器                                                                                                    |           [從 IoT 設備檢查水果品質](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [製造業](./4-manufacturing/README.md)   |             在邊緣運行您的水果檢測器             | 學習如何在邊緣的 IoT 設備上運行您的水果檢測器                                                                                                |             [在邊緣運行您的水果檢測器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [製造業](./4-manufacturing/README.md)   |        從感應器觸發水果品質檢測        | 學習如何從感應器觸發水果品質檢測                                                                                                        |        [從感應器觸發水果品質檢測](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [零售](./5-retail/README.md)          |                   訓練庫存檢測器                    | 學習如何使用物件檢測訓練庫存檢測器以計算商店中的庫存                                                                                |                        [訓練庫存檢測器](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [零售](./5-retail/README.md)          |               從 IoT 設備檢查庫存                | 學習如何使用物件檢測模型從 IoT 設備檢查庫存                                                                                         |                     [從 IoT 設備檢查庫存](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [消費者](./6-consumer/README.md)        |             使用 IoT 設備進行語音識別             | 學習如何從 IoT 設備進行語音識別以製作智能計時器                                                                                             |                  [使用 IoT 設備進行語音識別](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  21   |        [消費者](./6-consumer/README.md)        |             使用 IoT 設備進行語音識別             | 學習如何從 IoT 設備進行語音識別以建立智能計時器                                                                                             |                  [使用 IoT 設備進行語音識別](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [消費者](./6-consumer/README.md)        |                     理解語言                     | 學習如何理解對 IoT 設備說出的句子                                                                                                           |                        [理解語言](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [消費者](./6-consumer/README.md)        |           設置計時器並提供語音反饋           | 學習如何在 IoT 設備上設置計時器，並在計時器設置和完成時提供語音反饋                                                    |                 [設置計時器並提供語音反饋](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
 |  24   |        [消費者](./6-consumer/README.md)        |                 支援多語言                  | 學習如何支援多語言，包括對智能計時器的語音輸入和回應                                                               |                   [支援多語言](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
-## 離線訪問
+## 離線存取
 
-您可以使用 [Docsify](https://docsify.js.org/#/) 離線運行此文檔。Fork 此 repo，並在您的本地機器上 [安裝 Docsify](https://docsify.js.org/#/quickstart)，然後在此 repo 的根目錄中輸入 `docsify serve`。網站將在您的本地端口 3000 上提供服務：`localhost:3000`。
+您可以使用 [Docsify](https://docsify.js.org/#/) 離線運行此文件。Fork 此 repo，並在本地機器上 [安裝 Docsify](https://docsify.js.org/#/quickstart)，然後在此 repo 的根目錄輸入 `docsify serve`。網站將在本地端的 3000 端口上運行：`localhost:3000`。
 
 ## 測驗
 
-感謝社群提供互動測驗，測試您對每章內容的了解。您可以在 [這裡](https://ff-quizzes.netlify.app/en/) 測試您的知識。
+感謝社群提供互動測驗，測試您對每章內容的理解。您可以在 [這裡](https://ff-quizzes.netlify.app/en/) 測試您的知識。
 
 ### PDF
 
-如果需要，您可以生成此內容的 PDF 以供離線訪問。為此，請確保您已安裝 [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)，並在此 repo 的根目錄中運行以下命令：
+如果需要，您可以生成此內容的 PDF 以供離線存取。為此，請確保您已 [安裝 npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)，並在此 repo 的根目錄運行以下指令：
 
 ```sh
 npm i
@@ -144,22 +150,22 @@ npm run convert
 
 ### 投影片
 
-部分課程的投影片位於 [slides](../../slides) 文件夾中。
+部分課程的投影片可在 [slides](../../slides) 資料夾中找到。
 
 ## 其他課程
 
 我們的團隊還製作了其他課程！查看以下內容：
 
 ### Azure / Edge / MCP / Agents
-[![AZD 初學者指南](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI 初學者指南](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP 初學者指南](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents 初學者指南](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD 初學者課程](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI 初學者課程](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP 初學者課程](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents 初學者課程](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### 生成式 AI 系列
-[![生成式 AI 初學者指南](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![生成式 AI 初學者課程](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![生成式 AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![生成式 AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![生成式 AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
@@ -167,26 +173,29 @@ npm run convert
 ---
 
 ### 核心學習
-[![機器學習入門](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![數據科學入門](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![人工智能入門](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![網絡安全入門](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![網頁開發入門](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![物聯網入門](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR開發入門](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的機器學習](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的數據科學](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的人工智能](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的網絡安全](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![初學者的網頁開發](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的物聯網](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的XR開發](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot 系列  
-[![Copilot AI配對編程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot 冒險](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot 系列
+[![Copilot 的 AI 配對編程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot 的 C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot 冒險](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## 圖片來源  
+## 圖片來源
 
-您可以在[圖片來源](./attributions.md)中找到本課程中使用的所有圖片的來源。  
+你可以在[圖片來源](./attributions.md)中找到本課程所使用圖片的所有來源。
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **免責聲明**：  
-此文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於提供準確的翻譯，請注意自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於重要信息，建議使用專業人工翻譯。我們不對因使用此翻譯而引起的任何誤解或誤釋承擔責任。
\ No newline at end of file
+此文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原文文件為權威來源。如涉及關鍵資訊，建議尋求專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/hr/README.md b/translations/hr/README.md
index f54b54615..a83dd7016 100644
--- a/translations/hr/README.md
+++ b/translations/hr/README.md
@@ -1,193 +1,199 @@
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+  "translation_date": "2025-11-18T18:08:35+00:00",
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-[![GitHub licenca](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub suradnici](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub problemi](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub zahtjevi za povlačenje](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Dobrodošli](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub licenca](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub suradnici](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub problemi](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub zahtjevi za povlačenje](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PR-ovi dobrodošli](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub promatrači](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forkovi](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub zvjezdice](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub promatrači](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forkovi](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub zvjezdice](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Pridružite se zajednici Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Pridružite se Azure AI Foundry zajednici  
 
-Slijedite ove korake kako biste započeli korištenje ovih resursa:
-1. **Forkajte repozitorij**: Kliknite [![GitHub forkovi](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klonirajte repozitorij**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Pridružite se Azure AI Foundry Discordu i upoznajte stručnjake i kolege developere**](https://discord.com/invite/ByRwuEEgH4)
+Ako zapnete ili imate pitanja o izradi AI aplikacija, pridružite se kolegama učenicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica u kojoj su pitanja dobrodošla, a znanje se slobodno dijeli.  
 
-### 🌐 Podrška za više jezika
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Podržano putem GitHub Action (Automatski i uvijek ažurirano)
+Ako imate povratne informacije o proizvodu ili naiđete na pogreške tijekom izrade, posjetite:  
 
-[Arapski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bugarski](../bg/README.md) | [Burmanski (Mjanmar)](../my/README.md) | [Kineski (pojednostavljeni)](../zh/README.md) | [Kineski (tradicionalni, Hong Kong)](../hk/README.md) | [Kineski (tradicionalni, Macau)](../mo/README.md) | [Kineski (tradicionalni, Tajvan)](../tw/README.md) | [Hrvatski](./README.md) | [Češki](../cs/README.md) | [Danski](../da/README.md) | [Nizozemski](../nl/README.md) | [Estonski](../et/README.md) | [Finski](../fi/README.md) | [Francuski](../fr/README.md) | [Njemački](../de/README.md) | [Grčki](../el/README.md) | [Hebrejski](../he/README.md) | [Hindski](../hi/README.md) | [Mađarski](../hu/README.md) | [Indonezijski](../id/README.md) | [Talijanski](../it/README.md) | [Japanski](../ja/README.md) | [Korejski](../ko/README.md) | [Litvanski](../lt/README.md) | [Malajski](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Norveški](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljski](../pl/README.md) | [Portugalski (Brazil)](../br/README.md) | [Portugalski (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumunjski](../ro/README.md) | [Ruski](../ru/README.md) | [Srpski (ćirilica)](../sr/README.md) | [Slovački](../sk/README.md) | [Slovenski](../sl/README.md) | [Španjolski](../es/README.md) | [Svahili](../sw/README.md) | [Švedski](../sv/README.md) | [Tagalog (Filipinski)](../tl/README.md) | [Tamilski](../ta/README.md) | [Tajlandski](../th/README.md) | [Turski](../tr/README.md) | [Ukrajinski](../uk/README.md) | [Urdu](../ur/README.md) | [Vijetnamski](../vi/README.md)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT za početnike - Kurikulum
+Slijedite ove korake kako biste započeli s korištenjem ovih resursa:  
+1. **Forkajte repozitorij**: Kliknite [![GitHub forkovi](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klonirajte repozitorij**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Pridružite se Microsoft Foundry Discordu i upoznajte stručnjake i kolege programere**](https://discord.com/invite/ByRwuEEgH4)  
 
-Azure Cloud Advocates u Microsoftu s ponosom nude 12-tjedni kurikulum s 24 lekcije o osnovama IoT-a. Svaka lekcija uključuje kvizove prije i nakon lekcije, pisane upute za dovršavanje lekcije, rješenje, zadatak i još mnogo toga. Naša metodologija temeljena na projektima omogućuje vam učenje kroz izgradnju, što je dokazano učinkovit način za usvajanje novih vještina.
+### 🌐 Podrška za više jezika  
 
-Projekti pokrivaju put hrane od farme do stola. To uključuje poljoprivredu, logistiku, proizvodnju, maloprodaju i potrošače - sve popularne industrijske sektore za IoT uređaje.
+#### Podržano putem GitHub Action (Automatizirano i uvijek ažurirano)  
 
-![Mapa puta za tečaj koja prikazuje 24 lekcije koje pokrivaju uvod, poljoprivredu, transport, obradu, maloprodaju i kuhanje](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hr.jpg)
+[Arapski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bugarski](../bg/README.md) | [Burmanski (Mjanmar)](../my/README.md) | [Kineski (pojednostavljeni)](../zh/README.md) | [Kineski (tradicionalni, Hong Kong)](../hk/README.md) | [Kineski (tradicionalni, Makao)](../mo/README.md) | [Kineski (tradicionalni, Tajvan)](../tw/README.md) | [Hrvatski](./README.md) | [Češki](../cs/README.md) | [Danski](../da/README.md) | [Nizozemski](../nl/README.md) | [Estonski](../et/README.md) | [Finski](../fi/README.md) | [Francuski](../fr/README.md) | [Njemački](../de/README.md) | [Grčki](../el/README.md) | [Hebrejski](../he/README.md) | [Hindski](../hi/README.md) | [Mađarski](../hu/README.md) | [Indonezijski](../id/README.md) | [Talijanski](../it/README.md) | [Japanski](../ja/README.md) | [Korejski](../ko/README.md) | [Litvanski](../lt/README.md) | [Malajski](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigerijski pidžin](../pcm/README.md) | [Norveški](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljski](../pl/README.md) | [Portugalski (Brazil)](../br/README.md) | [Portugalski (Portugal)](../pt/README.md) | [Pandžapski (Gurmukhi)](../pa/README.md) | [Rumunjski](../ro/README.md) | [Ruski](../ru/README.md) | [Srpski (ćirilica)](../sr/README.md) | [Slovački](../sk/README.md) | [Slovenski](../sl/README.md) | [Španjolski](../es/README.md) | [Svahili](../sw/README.md) | [Švedski](../sv/README.md) | [Tagalog (Filipinski)](../tl/README.md) | [Tamilski](../ta/README.md) | [Tajlandski](../th/README.md) | [Turski](../tr/README.md) | [Ukrajinski](../uk/README.md) | [Urdu](../ur/README.md) | [Vijetnamski](../vi/README.md)  
 
-> Sketchnote od [Nitya Narasimhan](https://github.com/nitya). Kliknite na sliku za veću verziju.
+# IoT za početnike - Kurikulum  
 
-**Veliko hvala našim autorima [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), i našoj umjetnici sketchnotea [Nitya Narasimhan](https://github.com/nitya).**
+Azure Cloud Advocates u Microsoftu s ponosom nude 12-tjedni kurikulum s 24 lekcije o osnovama IoT-a. Svaka lekcija uključuje kvizove prije i poslije lekcije, pisane upute za dovršetak lekcije, rješenje, zadatak i još mnogo toga. Naša metodologija temeljena na projektima omogućuje vam učenje kroz izgradnju, što je dokazano učinkovit način za usvajanje novih vještina.  
 
-**Hvala također našem timu [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) koji su pregledavali i prevodili ovaj kurikulum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), i [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Projekti pokrivaju putovanje hrane od farme do stola. To uključuje poljoprivredu, logistiku, proizvodnju, maloprodaju i potrošače - sve popularna područja industrije za IoT uređaje.  
 
-Upoznajte tim!
+![Karta puta za tečaj koja prikazuje 24 lekcije koje pokrivaju uvod, poljoprivredu, transport, obradu, maloprodaju i kuhanje](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hr.jpg)  
 
-[![Promotivni video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote autorice [Nitya Narasimhan](https://github.com/nitya). Kliknite na sliku za veću verziju.  
 
-**Gif od** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Veliko hvala našim autorima [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) i našoj umjetnici sketchnotea [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Kliknite na sliku iznad za video o projektu!
+**Također zahvaljujemo našem timu [Microsoft Learn Studentskih Ambasadora](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) koji su pregledavali i prevodili ovaj kurikulum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) i [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Nastavnici**, uključili smo [neke prijedloge](for-teachers.md) o tome kako koristiti ovaj kurikulum. Ako želite stvoriti vlastite lekcije, također smo uključili [predložak lekcije](lesson-template/README.md).
+Upoznajte tim!  
 
-> **[Studenti](https://aka.ms/student-page)**, za samostalno korištenje ovog kurikuluma, forkajte cijeli repozitorij i samostalno dovršite vježbe, počevši s kvizom prije predavanja, zatim pročitajte predavanje i dovršite ostale aktivnosti. Pokušajte izraditi projekte razumijevanjem lekcija umjesto kopiranja rješenja koda; međutim, taj kod je dostupan u mapama /solutions u svakoj lekciji temeljenoj na projektu. Druga ideja bila bi formirati grupu za učenje s prijateljima i zajedno prolaziti kroz sadržaj. Za daljnje učenje preporučujemo [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Za video pregled ovog tečaja, pogledajte ovaj video:
+**Gif autor** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Promotivni video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promotivni video")
+> 🎥 Kliknite na sliku iznad za video o projektu!  
 
-> 🎥 Kliknite na sliku iznad za video o projektu!
+> **Nastavnici**, [uključili smo neke prijedloge](for-teachers.md) o tome kako koristiti ovaj kurikulum. Ako želite stvoriti vlastite lekcije, također smo uključili [predložak lekcije](lesson-template/README.md).  
 
-## Pedagogija
+> **[Studenti](https://aka.ms/student-page)**, za samostalno korištenje ovog kurikuluma, forkajte cijeli repozitorij i dovršite vježbe sami, počevši s kvizom prije predavanja, zatim čitajući predavanje i dovršavajući ostale aktivnosti. Pokušajte stvoriti projekte razumijevanjem lekcija umjesto kopiranja koda rješenja; međutim, taj kod je dostupan u mapama /solutions u svakoj lekciji temeljenoj na projektima. Druga ideja bila bi formirati studijsku grupu s prijateljima i zajedno prolaziti sadržaj. Za daljnje učenje preporučujemo [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Odabrali smo dva pedagoška načela prilikom izrade ovog kurikuluma: osiguranje da je temeljen na projektima i da uključuje česte kvizove. Do kraja ove serije, studenti će izraditi sustav za praćenje i zalijevanje biljaka, sustav za praćenje vozila, pametnu tvornicu za praćenje i provjeru hrane te glasovno upravljani timer za kuhanje, te će naučiti osnove Interneta stvari, uključujući kako pisati kod za uređaje, povezati se s oblakom, analizirati telemetriju i pokrenuti AI na rubu.
+Za video pregled ovog tečaja, pogledajte ovaj video:  
 
-Osiguravanjem da sadržaj odgovara projektima, proces postaje zanimljiviji za studente, a zadržavanje koncepata se povećava.
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-Osim toga, kviz s niskim rizikom prije predavanja usmjerava pažnju studenta na učenje teme, dok drugi kviz nakon predavanja osigurava daljnje zadržavanje. Ovaj kurikulum je dizajniran da bude fleksibilan i zabavan te se može uzeti u cijelosti ili djelomično. Projekti počinju malim i postaju sve složeniji do kraja 12-tjednog ciklusa.
+> 🎥 Kliknite na sliku iznad za video o projektu!  
 
-Svaki projekt temelji se na stvarnom hardveru dostupnom studentima i hobistima. Svaki projekt istražuje specifičnu domenu projekta, pružajući relevantno osnovno znanje. Da bi bio uspješan developer, pomaže razumjeti domenu u kojoj rješavate probleme; pružanje ovog osnovnog znanja omogućuje studentima da razmišljaju o svojim IoT rješenjima i učenjima u kontekstu stvarnog problema koji bi mogli biti pozvani riješiti kao IoT developeri. Studenti uče 'zašto' rješenja koja grade i dobivaju uvid u krajnjeg korisnika.
+## Pedagogija  
 
-## Hardver
+Odabrali smo dva pedagoška načela pri izradi ovog kurikuluma: osigurati da je temeljen na projektima i da uključuje česte kvizove. Do kraja ove serije, studenti će izgraditi sustav za praćenje i zalijevanje biljaka, uređaj za praćenje vozila, pametnu tvornicu za praćenje i provjeru hrane te glasovno upravljani kuhinjski timer, a naučit će osnove Interneta stvari, uključujući kako pisati kod za uređaje, povezati se s oblakom, analizirati telemetriju i pokretati AI na rubu.  
 
-Imamo dva izbora IoT hardvera za korištenje u projektima, ovisno o osobnim preferencijama, znanju programskih jezika ili preferencijama, ciljevima učenja i dostupnosti. Također smo pružili verziju 'virtualnog hardvera' za one koji nemaju pristup hardveru ili žele naučiti više prije nego se odluče na kupnju. Više informacija i 'popis za kupovinu' možete pronaći na [stranici o hardveru](./hardware.md), uključujući poveznice za kupnju kompleta od naših prijatelja u Seeed Studio.
+Osiguravanjem da sadržaj odgovara projektima, proces postaje zanimljiviji za studente, a zadržavanje koncepata se povećava.  
 
-> 💁 Pronađite naš [Kodeks ponašanja](CODE_OF_CONDUCT.md), [Upute za doprinos](CONTRIBUTING.md) i [Smjernice za prevođenje](TRANSLATIONS.md). Vaše konstruktivne povratne informacije su dobrodošle!
+Osim toga, kviz s niskim ulozima prije predavanja usmjerava pažnju studenta na učenje teme, dok drugi kviz nakon predavanja osigurava daljnje zadržavanje. Ovaj kurikulum je dizajniran da bude fleksibilan i zabavan te se može uzeti u cijelosti ili djelomično. Projekti započinju jednostavno i postaju sve složeniji do kraja 12-tjednog ciklusa.  
 
-## Svaka lekcija uključuje:
+Svaki projekt temelji se na stvarnom hardveru dostupnom studentima i hobistima. Svaki projekt istražuje specifično područje projekta, pružajući relevantno pozadinsko znanje. Da biste bili uspješan programer, pomaže razumjeti područje u kojem rješavate probleme; pružanje ovog pozadinskog znanja omogućuje studentima da razmišljaju o svojim IoT rješenjima i učenjima u kontekstu stvarnih problema koje bi mogli rješavati kao IoT programeri. Studenti uče 'zašto' rješenja koja grade i dobivaju uvid u krajnjeg korisnika.  
 
-- sketchnote
-- opcionalni dodatni video
-- kviz za zagrijavanje prije lekcije
-- pisanu lekciju
-- za lekcije temeljene na projektima, vodiče korak po korak kako izraditi projekt
-- provjere znanja
-- izazov
-- dodatno čitanje
-- zadatak
-- [kviz nakon lekcije](https://ff-quizzes.netlify.app/en/)
+## Hardver  
 
-> **Napomena o kvizovima**: Svi kvizovi su sadržani u mapi quiz-app, ukupno 48 kvizova s po tri pitanja. Povezani su unutar lekcija, ali aplikacija za kviz može se pokrenuti lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju.
+Imamo dva izbora IoT hardvera za korištenje u projektima, ovisno o osobnim preferencijama, znanju programskih jezika ili ciljevima učenja te dostupnosti. Također smo osigurali verziju 'virtualnog hardvera' za one koji nemaju pristup hardveru ili žele naučiti više prije nego što se odluče na kupnju. Više možete pročitati i pronaći 'popis za kupovinu' na [stranici o hardveru](./hardware.md), uključujući poveznice za kupnju kompleta od naših prijatelja u Seeed Studio.  
+
+> 💁 Pronađite naš [Kodeks ponašanja](CODE_OF_CONDUCT.md), [Upute za doprinos](CONTRIBUTING.md) i [Smjernice za prijevod](TRANSLATIONS.md). Vaše konstruktivne povratne informacije su dobrodošle!  
+
+## Svaka lekcija uključuje:  
+
+- sketchnote  
+- opcionalni dodatni video  
+- kviz za zagrijavanje prije lekcije  
+- pisanu lekciju  
+- za lekcije temeljene na projektima, vodiče korak po korak kako izraditi projekt  
+- provjere znanja  
+- izazov  
+- dodatno čitanje  
+- zadatak  
+- [kviz nakon lekcije](https://ff-quizzes.netlify.app/en/)  
+> **Napomena o kvizovima**: Svi kvizovi nalaze se u mapi quiz-app, ukupno 48 kvizova s po tri pitanja. Povezani su unutar lekcija, ali aplikacija za kviz može se pokrenuti lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju.
 
 ## Lekcije
 
 |       |              Naziv projekta              |                       Naučeni koncepti                       | Ciljevi učenja                                                                                                                                                 |                                                        Povezana lekcija                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+| :---: | :--------------------------------------: | :----------------------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-----------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Početak](./1-getting-started/README.md) |                     Uvod u IoT                     | Naučite osnovne principe IoT-a i osnovne gradivne elemente IoT rješenja poput senzora i usluga u oblaku dok postavljate svoj prvi IoT uređaj |                      [Uvod u IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
 |  02   | [Početak](./1-getting-started/README.md) |                   Dublji uvid u IoT                    | Saznajte više o komponentama IoT sustava, kao i o mikrokontrolerima i računalima s jednim pločama                                                            |                        [Dublji uvid u IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [Početak](./1-getting-started/README.md) | Interakcija s fizičkim svijetom pomoću senzora i aktuatora | Naučite o senzorima za prikupljanje podataka iz fizičkog svijeta i aktuatorima za slanje povratnih informacija dok izrađujete noćno svjetlo                                           | [Interakcija s fizičkim svijetom pomoću senzora i aktuatora](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Početak](./1-getting-started/README.md) |             Povežite svoj uređaj s internetom             | Naučite kako povezati IoT uređaj s internetom za slanje i primanje poruka povezivanjem vašeg noćnog svjetla s MQTT brokerom                               |               [Povežite svoj uređaj s internetom](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  04   | [Početak](./1-getting-started/README.md) |             Povežite svoj uređaj s internetom             | Naučite kako povezati IoT uređaj s internetom za slanje i primanje poruka povezivanjem svog noćnog svjetla s MQTT poslužiteljem                               |               [Povežite svoj uređaj s internetom](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [Farma](./2-farm/README.md)            |                    Predvidite rast biljaka                     | Naučite kako predvidjeti rast biljaka koristeći podatke o temperaturi prikupljene IoT uređajem                                                                                  |                          [Predvidite rast biljaka](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [Farma](./2-farm/README.md)            |                    Otkrivanje vlažnosti tla                     | Naučite kako otkriti vlažnost tla i kalibrirati senzor za vlažnost tla                                                                                              |                          [Otkrivanje vlažnosti tla](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
 |  07   |            [Farma](./2-farm/README.md)            |                  Automatizirano zalijevanje biljaka                   | Naučite kako automatizirati i tempirati zalijevanje pomoću releja i MQTT                                                                                                      |                      [Automatizirano zalijevanje biljaka](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farma](./2-farm/README.md)            |               Migrirajte svoju biljku u oblak               | Naučite o oblaku i IoT uslugama hostiranim u oblaku te kako povezati svoju biljku s jednim od njih umjesto s javnim MQTT brokerom                                   |               [Migrirajte svoju biljku u oblak](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farma](./2-farm/README.md)            |         Migrirajte logiku aplikacije u oblak         | Naučite kako možete pisati logiku aplikacije u oblaku koja reagira na IoT poruke                                                                          |         [Migrirajte logiku aplikacije u oblak](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  08   |            [Farma](./2-farm/README.md)            |               Migrirajte svoju biljku u oblak               | Naučite o oblaku i IoT uslugama hostiranim u oblaku te kako povezati svoju biljku s jednim od njih umjesto s javnim MQTT poslužiteljem                                   |               [Migrirajte svoju biljku u oblak](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farma](./2-farm/README.md)            |         Migrirajte logiku svoje aplikacije u oblak         | Naučite kako možete pisati logiku aplikacije u oblaku koja reagira na IoT poruke                                                                          |         [Migrirajte logiku svoje aplikacije u oblak](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Farma](./2-farm/README.md)            |                   Osigurajte svoju biljku                    | Naučite o sigurnosti s IoT-om i kako osigurati svoju biljku pomoću ključeva i certifikata                                                                          |                        [Osigurajte svoju biljku](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Transport](./3-transport/README.md)       |                      Praćenje lokacije                      | Naučite o GPS praćenju lokacije za IoT uređaje                                                                                                                   |                           [Praćenje lokacije](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [Transport](./3-transport/README.md)       |                     Pohrana podataka o lokaciji                     | Naučite kako pohraniti IoT podatke za kasniju vizualizaciju ili analizu                                                                                                      |                         [Pohrana podataka o lokaciji](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizacija podataka o lokaciji                   | Naučite o vizualizaciji podataka o lokaciji na karti i kako karte prikazuju stvarni trodimenzionalni svijet u dvije dimenzije                                                            |                     [Vizualizacija podataka o lokaciji](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geografske ograde                          | Naučite o geografskim ogradama i kako se mogu koristiti za upozorenje kada su vozila u lancu opskrbe blizu svoje destinacije                                           |                                   [Geografske ograde](./3-transport/lessons/4-geofences/README.md)                                   |
+|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizacija podataka o lokaciji                   | Naučite o vizualizaciji podataka o lokaciji na karti i kako karte predstavljaju stvarni 3D svijet u 2 dimenzije                                                            |                     [Vizualizacija podataka o lokaciji](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geoograde                          | Naučite o geoogradama i kako se mogu koristiti za upozorenja kada su vozila u lancu opskrbe blizu svog odredišta                                           |                                   [Geoograde](./3-transport/lessons/4-geofences/README.md)                                   |
 |  15   |   [Proizvodnja](./4-manufacturing/README.md)   |               Trenirajte detektor kvalitete voća                | Naučite kako trenirati klasifikator slika u oblaku za detekciju kvalitete voća                                                                                       |                 [Trenirajte detektor kvalitete voća](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Proizvodnja](./4-manufacturing/README.md)   |           Provjerite kvalitetu voća s IoT uređaja            | Naučite kako koristiti detektor kvalitete voća s IoT uređaja                                                                                                    |           [Provjerite kvalitetu voća s IoT uređaja](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Proizvodnja](./4-manufacturing/README.md)   |             Pokrenite detektor voća na rubu             | Naučite kako pokrenuti detektor voća na IoT uređaju na rubu                                                                                                |             [Pokrenite detektor voća na rubu](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  16   |   [Proizvodnja](./4-manufacturing/README.md)   |           Provjerite kvalitetu voća s IoT uređaja            | Naučite kako koristiti svoj detektor kvalitete voća s IoT uređaja                                                                                                    |           [Provjerite kvalitetu voća s IoT uređaja](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Proizvodnja](./4-manufacturing/README.md)   |             Pokrenite svoj detektor voća na rubu             | Naučite kako pokrenuti svoj detektor voća na IoT uređaju na rubu                                                                                                |             [Pokrenite svoj detektor voća na rubu](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [Proizvodnja](./4-manufacturing/README.md)   |        Aktivirajte detekciju kvalitete voća pomoću senzora        | Naučite kako aktivirati detekciju kvalitete voća pomoću senzora                                                                                                        |        [Aktivirajte detekciju kvalitete voća pomoću senzora](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [Maloprodaja](./5-retail/README.md)          |                   Trenirajte detektor zaliha                    | Naučite kako koristiti detekciju objekata za treniranje detektora zaliha za brojanje zaliha u trgovini                                                                                |                        [Trenirajte detektor zaliha](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [Maloprodaja](./5-retail/README.md)          |               Provjerite zalihe s IoT uređaja                | Naučite kako provjeriti zalihe s IoT uređaja koristeći model za detekciju objekata                                                                                         |                     [Provjerite zalihe s IoT uređaja](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [Potrošači](./6-consumer/README.md)        |             Prepoznajte govor s IoT uređaja             | Naučite kako prepoznati govor s IoT uređaja za izradu pametnog timera                                                                                             |                  [Prepoznajte govor s IoT uređaja](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [Potrošači](./6-consumer/README.md)        |                     Razumijevanje jezika                     | Naučite kako razumjeti rečenice izgovorene IoT uređaju                                                                                                           |                        [Razumijevanje jezika](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [Potrošači](./6-consumer/README.md)        |           Postavite timer i pružite povratne informacije govorno           | Naučite kako postaviti timer na IoT uređaju i dati govorne povratne informacije o tome kada je timer postavljen i kada završi                                                    |                 [Postavite timer i pružite povratne informacije govorno](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Potrošači](./6-consumer/README.md)        |                 Podrška za više jezika                  | Naučite kako podržati više jezika, kako u govoru tako i u odgovorima vašeg pametnog timera                                                               |                   [Podrška za više jezika](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  24   |        [Potrošači](./6-consumer/README.md)        |                 Podrška za više jezika                  | Naučite kako podržati više jezika, kako za unos tako i za odgovore vašeg pametnog timera                                                               |                   [Podrška za više jezika](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
-## Pristup bez interneta
+## Pristup izvan mreže
 
-Možete pokrenuti ovu dokumentaciju offline koristeći [Docsify](https://docsify.js.org/#/). Forkajte ovaj repozitorij, [instalirajte Docsify](https://docsify.js.org/#/quickstart) na svom lokalnom računalu, a zatim u korijenskoj mapi ovog repozitorija upišite `docsify serve`. Web stranica će biti poslužena na portu 3000 na vašem localhostu: `localhost:3000`.
+Ovu dokumentaciju možete pokrenuti izvan mreže koristeći [Docsify](https://docsify.js.org/#/). Forkajte ovaj repozitorij, [instalirajte Docsify](https://docsify.js.org/#/quickstart) na svom lokalnom računalu, a zatim u korijenskoj mapi ovog repozitorija upišite `docsify serve`. Web stranica će biti poslužena na portu 3000 na vašem localhostu: `localhost:3000`.
 
 ## Kviz
 
-Zahvaljujući zajednici, postoji interaktivni kviz koji testira vaše znanje o svakom poglavlju. Svoje znanje možete testirati [ovdje](https://ff-quizzes.netlify.app/en/) 
+Zahvaljujući zajednici, dostupan je interaktivni kviz koji testira vaše znanje o svakom poglavlju. Svoje znanje možete testirati [ovdje](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Možete generirati PDF ovog sadržaja za offline pristup ako je potrebno. Da biste to učinili, provjerite imate li [npm instaliran](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) i pokrenite sljedeće naredbe u korijenskoj mapi ovog repozitorija:
+Možete generirati PDF ove dokumentacije za pristup izvan mreže ako je potrebno. Da biste to učinili, provjerite imate li [instaliran npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) i pokrenite sljedeće naredbe u korijenskoj mapi ovog repozitorija:
 
 ```sh
 npm i
 npm run convert
 ```
 
-### Slajdovi
+### Prezentacije
 
 Postoje prezentacije za neke od lekcija u mapi [slides](../../slides).
 
-
 ## Ostali kurikulumi
 
 Naš tim proizvodi i druge kurikulume! Pogledajte:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
-### Azure / Edge / MCP / Agents
-[![AZD za početnike](https://img.shields.io/badge/AZD%20za%20početnike-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI za početnike](https://img.shields.io/badge/Edge%20AI%20za%20početnike-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP za početnike](https://img.shields.io/badge/MCP%20za%20početnike-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI agenti za početnike](https://img.shields.io/badge/AI%20agenti%20za%20početnike-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+### Azure / Edge / MCP / Agenti
+[![AZD za početnike](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI za početnike](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP za početnike](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI agenti za početnike](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generativni AI serijal
-[![Generativni AI za početnike](https://img.shields.io/badge/Generativni%20AI%20za%20početnike-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generativni AI (.NET)](https://img.shields.io/badge/Generativni%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generativni AI (Java)](https://img.shields.io/badge/Generativni%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generativni AI (JavaScript)](https://img.shields.io/badge/Generativni%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### Serija o generativnoj umjetnoj inteligenciji
+[![Generativna AI za početnike](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generativna AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generativna AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generativna AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Osnovno učenje
-[![ML za početnike](https://img.shields.io/badge/ML%20za%20početnike-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science za početnike](https://img.shields.io/badge/Data%20Science%20za%20početnike-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI za početnike](https://img.shields.io/badge/AI%20za%20početnike-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kibernetička sigurnost za početnike](https://img.shields.io/badge/Kibernetička%20sigurnost%20za%20početnike-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web razvoj za početnike](https://img.shields.io/badge/Web%20razvoj%20za%20početnike-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT za početnike](https://img.shields.io/badge/IoT%20za%20početnike-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR razvoj za početnike](https://img.shields.io/badge/XR%20razvoj%20za%20početnike-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML za početnike](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Znanost o podacima za početnike](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![AI za početnike](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Kibernetička sigurnost za početnike](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![Web razvoj za početnike](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![IoT za početnike](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![XR razvoj za početnike](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### Serija Copilot  
-[![Copilot za AI programiranje u paru](https://img.shields.io/badge/Copilot%20za%20AI%20programiranje%20u%20paru-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot za C#/.NET](https://img.shields.io/badge/Copilot%20za%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot avantura](https://img.shields.io/badge/Copilot%20avantura-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot serija
+[![Copilot za AI programiranje u paru](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot za C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+[![Copilot avantura](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Atribucije slika  
+## Atribucije slika
 
 Sve atribucije za slike korištene u ovom kurikulumu, gdje je to potrebno, možete pronaći u [Atribucije](./attributions.md).
 
 ---
 
-**Izjava o odricanju odgovornosti**:  
-Ovaj dokument je preveden pomoću AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo osigurati točnost, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za ključne informacije preporučuje se profesionalni prijevod od strane čovjeka. Ne preuzimamo odgovornost za nesporazume ili pogrešna tumačenja koja proizlaze iz korištenja ovog prijevoda.
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Odricanje od odgovornosti**:  
+Ovaj dokument je preveden pomoću AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati mjerodavnim izvorom. Za ključne informacije preporučuje se profesionalni prijevod od strane čovjeka. Ne preuzimamo odgovornost za bilo kakve nesporazume ili pogrešne interpretacije proizašle iz korištenja ovog prijevoda.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/hu/README.md b/translations/hu/README.md
index 46f8072b0..f235f7162 100644
--- a/translations/hu/README.md
+++ b/translations/hu/README.md
@@ -1,141 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:21:08+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:00:13+00:00",
   "source_file": "README.md",
   "language_code": "hu"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
+[![GitHub licenc](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub közreműködők](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub problémák](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub pull-kérések](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
+[![PR-ek Üdvözölve](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
+[![GitHub figyelők](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub forkok](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
+[![GitHub csillagok](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Csatlakozz az Azure AI Foundry közösséghez  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
+### Csatlakozz az Azure AI Foundry közösséghez
 
-Kövesd az alábbi lépéseket, hogy elkezdhesd használni ezeket az erőforrásokat:  
-1. **Forkold a repót**: Kattints [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
-2. **Klónozd a repót**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Csatlakozz az Azure AI Foundry Discordhoz, és találkozz szakértőkkel és fejlesztőtársaiddal**](https://discord.com/invite/ByRwuEEgH4)  
+Ha elakadnál, vagy kérdéseid lennének az AI alkalmazások építésével kapcsolatban, csatlakozz más tanulókhoz és tapasztalt fejlesztőkhöz MCP témájú beszélgetésekben. Ez egy támogató közösség, ahol szívesen fogadják a kérdéseket, és a tudás szabadon megosztható.
 
-### 🌐 Többnyelvű támogatás  
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
 
-#### GitHub Action által támogatott (Automatikus és mindig naprakész)  
+Ha termékekkel kapcsolatos visszajelzésed van, vagy hibát tapasztalsz az építés során, látogass el ide:
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[Arab](../ar/README.md) | [Bengáli](../bn/README.md) | [Bolgár](../bg/README.md) | [Burmai (Mianmar)](../my/README.md) | [Kínai (egyszerűsített)](../zh/README.md) | [Kínai (hagyományos, Hongkong)](../hk/README.md) | [Kínai (hagyományos, Makaó)](../mo/README.md) | [Kínai (hagyományos, Tajvan)](../tw/README.md) | [Horvát](../hr/README.md) | [Cseh](../cs/README.md) | [Dán](../da/README.md) | [Holland](../nl/README.md) | [Észt](../et/README.md) | [Finn](../fi/README.md) | [Francia](../fr/README.md) | [Német](../de/README.md) | [Görög](../el/README.md) | [Héber](../he/README.md) | [Hindi](../hi/README.md) | [Magyar](./README.md) | [Indonéz](../id/README.md) | [Olasz](../it/README.md) | [Japán](../ja/README.md) | [Koreai](../ko/README.md) | [Litván](../lt/README.md) | [Maláj](../ms/README.md) | [Maráthi](../mr/README.md) | [Nepáli](../ne/README.md) | [Norvég](../no/README.md) | [Perzsa (Fárszi)](../fa/README.md) | [Lengyel](../pl/README.md) | [Portugál (Brazília)](../br/README.md) | [Portugál (Portugália)](../pt/README.md) | [Pandzsábi (Gurmukhi)](../pa/README.md) | [Román](../ro/README.md) | [Orosz](../ru/README.md) | [Szerb (Cirill)](../sr/README.md) | [Szlovák](../sk/README.md) | [Szlovén](../sl/README.md) | [Spanyol](../es/README.md) | [Szuahéli](../sw/README.md) | [Svéd](../sv/README.md) | [Tagalog (Filippínó)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Török](../tr/README.md) | [Ukrán](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnámi](../vi/README.md)  
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
-# IoT kezdőknek - Tananyag  
+Kezdd el az erőforrások használatát az alábbi lépésekkel:
+1. **Forkold a repót**: Kattints [![GitHub forkok](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **Clone-old a repót**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Csatlakozz a Microsoft Foundry Discordhoz, és találkozz szakértőkkel és fejlesztőkkel**](https://discord.com/invite/ByRwuEEgH4)
 
-Az Azure Cloud Advocates csapata a Microsoftnál örömmel kínál egy 12 hetes, 24 leckéből álló tananyagot, amely az IoT alapjairól szól. Minden lecke tartalmaz előzetes és utólagos kvízeket, írásos útmutatót a lecke elvégzéséhez, megoldást, feladatot és még sok mást. Projektalapú pedagógiánk lehetővé teszi, hogy tanulás közben építs, ami bizonyítottan segíti az új készségek elsajátítását.  
+### 🌐 Többnyelvű támogatás
 
-A projektek az élelmiszer útját követik a termőföldtől az asztalig. Ez magában foglalja a mezőgazdaságot, a logisztikát, a gyártást, a kiskereskedelmet és a fogyasztót - mind népszerű iparágak az IoT eszközök számára.  
+#### Támogatott GitHub Action által (Automatikus és mindig naprakész)
 
-![A tanfolyam útvonala, amely 24 leckét tartalmaz, beleértve a bevezetést, mezőgazdaságot, szállítást, feldolgozást, kiskereskedelmet és főzést](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hu.jpg)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
+[Arab](../ar/README.md) | [Bengáli](../bn/README.md) | [Bolgár](../bg/README.md) | [Burmai (Mianmar)](../my/README.md) | [Kínai (Egyszerűsített)](../zh/README.md) | [Kínai (Hagyományos, Hongkong)](../hk/README.md) | [Kínai (Hagyományos, Makaó)](../mo/README.md) | [Kínai (Hagyományos, Tajvan)](../tw/README.md) | [Horvát](../hr/README.md) | [Cseh](../cs/README.md) | [Dán](../da/README.md) | [Holland](../nl/README.md) | [Észt](../et/README.md) | [Finn](../fi/README.md) | [Francia](../fr/README.md) | [Német](../de/README.md) | [Görög](../el/README.md) | [Héber](../he/README.md) | [Hindi](../hi/README.md) | [Magyar](./README.md) | [Indonéz](../id/README.md) | [Olasz](../it/README.md) | [Japán](../ja/README.md) | [Koreai](../ko/README.md) | [Litván](../lt/README.md) | [Maláj](../ms/README.md) | [Maráthi](../mr/README.md) | [Nepáli](../ne/README.md) | [Nigériai pidgin](../pcm/README.md) | [Norvég](../no/README.md) | [Perzsa (Fárszi)](../fa/README.md) | [Lengyel](../pl/README.md) | [Portugál (Brazília)](../br/README.md) | [Portugál (Portugália)](../pt/README.md) | [Pandzsábi (Gurmukhi)](../pa/README.md) | [Román](../ro/README.md) | [Orosz](../ru/README.md) | [Szerb (Cirill)](../sr/README.md) | [Szlovák](../sk/README.md) | [Szlovén](../sl/README.md) | [Spanyol](../es/README.md) | [Szuahéli](../sw/README.md) | [Svéd](../sv/README.md) | [Tagalog (Filippínó)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Török](../tr/README.md) | [Ukrán](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnámi](../vi/README.md)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-> Sketchnote készítette [Nitya Narasimhan](https://github.com/nitya). Kattints a képre a nagyobb verzióért.  
+# IoT kezdőknek - Tananyag
 
-**Hálás köszönet szerzőinknek [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), és sketchnote művészünknek [Nitya Narasimhan](https://github.com/nitya).**  
+Az Azure Cloud Advocates csapata a Microsoftnál örömmel kínál egy 12 hetes, 24 leckéből álló tananyagot, amely az IoT alapjairól szól. Minden lecke tartalmaz előzetes és utólagos kvízeket, írásos útmutatót a lecke elvégzéséhez, megoldást, feladatot és még sok mást. Projektalapú pedagógiánk lehetővé teszi, hogy tanulás közben építs, ami bizonyítottan segíti az új készségek elsajátítását.
 
-**Köszönet illeti továbbá a [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) csapatát, akik átnézték és lefordították ezt a tananyagot - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), és [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
+A projektek az élelmiszer útját követik a termeléstől az asztalig. Ez magában foglalja a mezőgazdaságot, a logisztikát, a gyártást, a kiskereskedelmet és a fogyasztót - mind népszerű iparági területek az IoT eszközök számára.
 
-Ismerd meg a csapatot!  
+![A tanfolyam útvonala, amely 24 leckét tartalmaz, beleértve a bevezetést, mezőgazdaságot, szállítást, feldolgozást, kiskereskedelmet és főzést](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.hu.jpg)
 
-[![Promóciós videó](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
+> Sketchnote készítette: [Nitya Narasimhan](https://github.com/nitya). Kattints a képre a nagyobb verzióért.
 
-**Gif készítette** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
+**Szívből köszönjük szerzőinknek [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), és sketchnote művészünknek [Nitya Narasimhan](https://github.com/nitya).**
 
-> 🎥 Kattints a fenti képre a projektről szóló videóért!  
+**Köszönet illeti továbbá a [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) csapatát, akik átnézték és lefordították ezt a tananyagot - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), és [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
-> **Tanárok**, [néhány javaslatot is mellékeltünk](for-teachers.md) arra vonatkozóan, hogyan használhatják ezt a tananyagot. Ha saját leckéket szeretnél készíteni, egy [lecke sablont](lesson-template/README.md) is mellékeltünk.  
+Ismerd meg a csapatot!
 
-> **[Diákok](https://aka.ms/student-page)**, ha önállóan szeretnéd használni ezt a tananyagot, forkold az egész repót, és végezd el a gyakorlatokat önállóan, kezdve az előadást megelőző kvízzel, majd olvasd el az előadást, és végezd el a többi tevékenységet. Próbáld meg létrehozni a projekteket úgy, hogy megérted a leckéket, ahelyett hogy lemásolnád a megoldás kódját; azonban az a kód elérhető a /solutions mappákban minden projektalapú leckében. Egy másik ötlet lehet, hogy tanulócsoportot alakítasz barátaiddal, és együtt haladtok végig a tartalmon. További tanulmányokhoz ajánljuk a [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) platformot.  
+[![Promóciós videó](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
-A tanfolyam videós áttekintéséhez nézd meg ezt a videót:  
+**Gif készítette:** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
 
-[![Promóciós videó](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promóciós videó")  
+> 🎥 Kattints a fenti képre a projektről szóló videóért!
 
-> 🎥 Kattints a fenti képre a projektről szóló videóért!  
+> **Tanárok**, [néhány javaslatot](for-teachers.md) is mellékeltünk, hogyan használhatjátok ezt a tananyagot. Ha saját leckéket szeretnétek készíteni, egy [lecke sablont](lesson-template/README.md) is mellékeltünk.
 
-## Pedagógia  
+> **[Diákok](https://aka.ms/student-page)**, ha önállóan szeretnétek használni ezt a tananyagot, forkoljátok az egész repót, és végezzétek el a gyakorlatokat önállóan, kezdve egy előzetes kvízzel, majd olvassátok el az előadást, és végezzétek el a többi tevékenységet. Próbáljátok meg a projekteket úgy létrehozni, hogy megértitek a leckéket, ahelyett hogy lemásolnátok a megoldás kódját; azonban az a kód elérhető a /solutions mappákban minden projektalapú leckében. Egy másik ötlet lehet, hogy tanulócsoportot alakítotok barátokkal, és együtt haladtok a tartalommal. További tanulmányokhoz ajánljuk a [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) platformot.
 
-Két pedagógiai elvet választottunk a tananyag összeállításakor: biztosítani, hogy projektalapú legyen, és hogy gyakori kvízeket tartalmazzon. A sorozat végére a diákok építeni fognak egy növényfigyelő és öntözőrendszert, egy járműkövetőt, egy okos gyárat az élelmiszerek nyomon követésére és ellenőrzésére, valamint egy hangvezérelt főzési időzítőt, és megtanulják az IoT alapjait, beleértve az eszközkód írását, a felhőhöz való csatlakozást, a telemetria elemzését és az AI futtatását az edge-en.  
+A tanfolyam videós áttekintéséhez nézd meg ezt a videót:
 
-Azáltal, hogy a tartalom projektekhez igazodik, a folyamat érdekesebbé válik a diákok számára, és a fogalmak megértése is fokozódik.  
+[![Promóciós videó](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promóciós videó")
 
-Ezenkívül egy alacsony tétű kvíz az óra előtt a diákot a téma tanulására irányítja, míg egy második kvíz az óra után tovább erősíti a megértést. Ez a tananyag rugalmas és szórakoztató, és teljes egészében vagy részleteiben is elvégezhető. A projektek kicsiben kezdődnek, és a 12 hetes ciklus végére egyre összetettebbé válnak.  
+> 🎥 Kattints a fenti képre a projektről szóló videóért!
 
-Minden projekt valós hardverre épül, amely elérhető a diákok és hobbisták számára. Minden projekt a konkrét projekt domainjét vizsgálja, releváns háttérismereteket nyújtva. Ahhoz, hogy sikeres fejlesztővé válj, fontos megérteni azt a területet, amelyen problémákat oldasz meg; ezek a háttérismeretek lehetővé teszik a diákok számára, hogy IoT megoldásaikat és tanulmányaikat a valós problémák kontextusában gondolják át, amelyeket IoT fejlesztőként megoldhatnak. A diákok megértik az általuk épített megoldások "miértjét", és értékelik a végfelhasználó szempontjait.  
+## Pedagógia
 
-## Hardver  
+Két pedagógiai alapelvet választottunk a tananyag összeállításakor: biztosítani, hogy projektalapú legyen, és hogy gyakori kvízeket tartalmazzon. A sorozat végére a diákok építenek egy növényfigyelő és öntözőrendszert, egy járműkövetőt, egy okos gyárat az élelmiszerek nyomon követésére és ellenőrzésére, valamint egy hangvezérelt főzési időzítőt, és megtanulják az IoT alapjait, beleértve az eszközkód írását, a felhőhöz való csatlakozást, a telemetria elemzését és az AI futtatását az edge-en.
 
-Kétféle IoT hardver közül választhatsz a projektekhez, attól függően, hogy milyen személyes preferenciáid, programozási nyelvi ismereteid vagy céljaid vannak, illetve milyen eszközök állnak rendelkezésedre. Emellett biztosítottunk egy "virtuális hardver" verziót azok számára, akik nem férnek hozzá hardverhez, vagy többet szeretnének tanulni, mielőtt vásárolnának. További információkat és egy "bevásárlólistát" találsz a [hardver oldalon](./hardware.md), beleértve a teljes készletek vásárlási linkjeit barátainktól, a Seeed Studio-tól.  
+A projektekhez igazított tartalom biztosításával a folyamat érdekesebbé válik a diákok számára, és a fogalmak megértése is fokozódik.
 
-> 💁 Találd meg a [Magatartási kódexünket](CODE_OF_CONDUCT.md), [Hozzájárulási](CONTRIBUTING.md) és [Fordítási](TRANSLATIONS.md) irányelveinket. Örömmel fogadjuk az építő jellegű visszajelzéseidet!  
+Ezenkívül egy alacsony tétű kvíz az óra előtt a diákot a téma tanulására irányítja, míg egy második kvíz az óra után tovább erősíti a megértést. Ez a tananyag rugalmas és szórakoztató, és egészében vagy részben is elvégezhető. A projektek kicsiben kezdődnek, és a 12 hetes ciklus végére egyre összetettebbé válnak.
 
-## Minden lecke tartalmaz:  
+Minden projekt valós hardverre épül, amely elérhető a diákok és hobbi fejlesztők számára. Minden projekt a konkrét projekt domainjét vizsgálja, releváns háttérismereteket nyújtva. Ahhoz, hogy sikeres fejlesztővé válj, segít megérteni azt a területet, amelyben problémákat oldasz meg. Ez a háttérismeret lehetővé teszi a diákok számára, hogy IoT megoldásaikat és tanulmányaikat a valós problémák kontextusában gondolják át, amelyeket IoT fejlesztőként megoldhatnak. A diákok megtanulják a megoldások "miértjét", és értékelik a végfelhasználót.
 
-- sketchnote  
-- opcionális kiegészítő videó  
-- előzetes bemelegítő kvíz  
-- írásos lecke  
-- projektalapú leckék esetén lépésről lépésre útmutatók a projekt elkészítéséhez  
-- tudásellenőrzések  
-- kihívás  
-- kiegészítő olvasmányok  
-- feladat  
-- [utólagos kvíz](https://ff-quizzes.netlify.app/en/)  
+## Hardver
 
-> **Megjegyzés a kvízekről**: Minden kvíz a quiz-app mappában található, összesen 48 kvíz, három kérdéssel mindegyikben. A leckékből hivatkozva érhetők el, de a kvíz alkalmazás helyben is futtatható, vagy telepíthető az Azure-ra; kövesd az utasításokat a `quiz-app` mappában. Fokozatosan lokalizálják őket.  
+Két IoT hardver választási lehetőségünk van a projektekhez, személyes preferenciák, programozási nyelv ismeretek vagy preferenciák, tanulási célok és elérhetőség alapján. Virtuális hardver verziót is biztosítottunk azok számára, akik nem férnek hozzá hardverhez, vagy többet szeretnének tanulni, mielőtt vásárlás mellett döntenének. További információt és "bevásárlólistát" a [hardver oldalon](./hardware.md) találhatsz, beleértve a teljes készletek vásárlására vonatkozó linkeket barátainktól a Seeed Studio-nál.
 
-## Leckék  
+> 💁 Találd meg a [Magatartási kódexünket](CODE_OF_CONDUCT.md), [Hozzájárulási](CONTRIBUTING.md), és [Fordítási](TRANSLATIONS.md) irányelveinket. Szívesen fogadjuk az építő jellegű visszajelzéseidet!
 
-|       |              Projekt neve              |                       Tanított fogalmak                       | Tanulási célok                                                                                                                                                 |                                                        Kapcsolódó lecke                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
+## Minden lecke tartalmaz:
+
+- sketchnote
+- opcionális kiegészítő videó
+- előzetes bemelegítő kvíz
+- írásos lecke
+- projektalapú leckék esetén lépésről lépésre útmutató a projekt elkészítéséhez
+- tudásellenőrzések
+- kihívás
+- kiegészítő olvasmány
+- feladat
+- [utólagos kvíz](https://ff-quizzes.netlify.app/en/)
+> **Megjegyzés a kvízekről**: Minden kvíz a quiz-app mappában található, összesen 48 darab, mindegyik három kérdésből áll. A leckékből elérhetők, de a kvíz alkalmazás helyileg futtatható vagy Azure-ra telepíthető; kövesd az `quiz-app` mappában található utasításokat. Folyamatosan lokalizáljuk őket.
+
+## Leckék
+
+|       |              Projekt neve              |                       Tanított fogalmak                       | Tanulási célok                                                                                                                                                 |                                                        Kapcsolódó lecke                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Első lépések](./1-getting-started/README.md) |                     Bevezetés az IoT világába                     | Ismerd meg az IoT alapelveit és az IoT megoldások alapvető építőelemeit, mint például az érzékelők és felhőszolgáltatások, miközben beállítod az első IoT eszközödet |                      [Bevezetés az IoT világába](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Első lépések](./1-getting-started/README.md) |                   Mélyebb betekintés az IoT világába                    | Tudj meg többet az IoT rendszerek összetevőiről, valamint a mikrokontrollerekről és az egykártyás számítógépekről                                                            |                        [Mélyebb betekintés az IoT világába](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Első lépések](./1-getting-started/README.md) | Érzékelők és működtetők segítségével lépj kapcsolatba a fizikai világgal | Ismerd meg, hogyan gyűjthetsz adatokat a fizikai világból érzékelők segítségével, és hogyan adhatsz visszajelzést működtetők révén, miközben egy éjszakai fényt építesz                                           | [Érzékelők és működtetők segítségével lépj kapcsolatba a fizikai világgal](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Első lépések](./1-getting-started/README.md) |             Kapcsold az eszközödet az internetre             | Ismerd meg, hogyan csatlakoztathatsz egy IoT eszközt az internetre, hogy üzeneteket küldj és fogadj, miközben az éjszakai fényedet egy MQTT brokerhez csatlakoztatod                               |               [Kapcsold az eszközödet az internetre](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    Növekedés előrejelzése                     | Ismerd meg, hogyan lehet előre jelezni a növények növekedését egy IoT eszköz által gyűjtött hőmérsékleti adatok segítségével                                                                                  |                          [Növekedés előrejelzése](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farm](./2-farm/README.md)            |                    Talajnedvesség érzékelése                     | Ismerd meg, hogyan érzékelheted a talaj nedvességét, és hogyan kalibrálhatod a talajnedvesség érzékelőt                                                                                              |                          [Talajnedvesség érzékelése](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  Automatikus növényöntözés                   | Ismerd meg, hogyan automatizálhatod és időzítheted az öntözést egy relé és MQTT segítségével                                                                                                      |                      [Automatikus növényöntözés](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  02   | [Első lépések](./1-getting-started/README.md) |                   Mélyebb betekintés az IoT világába                    | Tudj meg többet az IoT rendszer összetevőiről, valamint a mikrokontrollerekről és az egykártyás számítógépekről                                                            |                        [Mélyebb betekintés az IoT világába](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Első lépések](./1-getting-started/README.md) | Érzékelők és aktuátorok segítségével lépj kapcsolatba a fizikai világgal | Ismerd meg, hogyan gyűjthetsz adatokat a fizikai világból érzékelők segítségével, és hogyan küldhetsz visszajelzést aktuátorokkal, miközben egy éjjeli fényt építesz                                           | [Érzékelők és aktuátorok segítségével lépj kapcsolatba a fizikai világgal](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Első lépések](./1-getting-started/README.md) |             Kapcsold az eszközödet az internetre             | Ismerd meg, hogyan csatlakoztathatsz egy IoT eszközt az internetre, hogy üzeneteket küldj és fogadj, miközben az éjjeli fényedet egy MQTT brokerhez csatlakoztatod                               |               [Kapcsold az eszközödet az internetre](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farm](./2-farm/README.md)            |                    Növekedés előrejelzése                     | Ismerd meg, hogyan lehet előre jelezni a növények növekedését az IoT eszköz által gyűjtött hőmérsékleti adatok segítségével                                                                                  |                          [Növekedés előrejelzése](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farm](./2-farm/README.md)            |                    Talajnedvesség érzékelése                     | Ismerd meg, hogyan lehet érzékelni a talajnedvességet és kalibrálni egy talajnedvesség-érzékelőt                                                                                              |                          [Talajnedvesség érzékelése](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farm](./2-farm/README.md)            |                  Automatikus növényöntözés                   | Ismerd meg, hogyan lehet automatizálni és időzíteni az öntözést egy relé és MQTT segítségével                                                                                                      |                      [Automatikus növényöntözés](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
 |  08   |            [Farm](./2-farm/README.md)            |               Növényed áthelyezése a felhőbe               | Ismerd meg a felhőt és a felhőben hosztolt IoT szolgáltatásokat, valamint azt, hogyan csatlakoztathatod növényedet ezekhez egy nyilvános MQTT broker helyett                                   |               [Növényed áthelyezése a felhőbe](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
 |  09   |            [Farm](./2-farm/README.md)            |         Alkalmazás logikájának áthelyezése a felhőbe         | Ismerd meg, hogyan írhatod meg az alkalmazás logikáját a felhőben, amely IoT üzenetekre reagál                                                                          |         [Alkalmazás logikájának áthelyezése a felhőbe](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Farm](./2-farm/README.md)            |                   Növényed biztonságának megőrzése                    | Ismerd meg az IoT biztonságot, és hogyan őrizheted meg növényed biztonságát kulcsok és tanúsítványok segítségével                                                                          |                        [Növényed biztonságának megőrzése](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Szállítás](./3-transport/README.md)       |                      Helymeghatározás                      | Ismerd meg az IoT eszközök GPS helymeghatározását                                                                                                                   |                           [Helymeghatározás](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [Szállítás](./3-transport/README.md)       |                     Helyadatok tárolása                     | Ismerd meg, hogyan tárolhatod az IoT adatokat későbbi vizualizáció vagy elemzés céljából                                                                                                      |                         [Helyadatok tárolása](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Szállítás](./3-transport/README.md)       |                   Helyadatok vizualizálása                   | Ismerd meg, hogyan vizualizálhatod a helyadatokat térképen, és hogyan ábrázolják a térképek a valós 3D világot 2 dimenzióban                                                            |                     [Helyadatok vizualizálása](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Szállítás](./3-transport/README.md)       |                          Geokerítések                          | Ismerd meg a geokerítéseket, és hogyan használhatók arra, hogy értesítést küldjenek, amikor a szállítmányozási láncban lévő járművek közel vannak a célállomásukhoz                                           |                                   [Geokerítések](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Gyártás](./4-manufacturing/README.md)   |               Gyümölcsminőség-ellenőrző betanítása                | Ismerd meg, hogyan lehet egy képosztályozót betanítani a felhőben a gyümölcsminőség ellenőrzésére                                                                                       |                 [Gyümölcsminőség-ellenőrző betanítása](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Gyártás](./4-manufacturing/README.md)   |           Gyümölcsminőség ellenőrzése IoT eszközről            | Ismerd meg, hogyan használhatod a gyümölcsminőség-ellenőrződet egy IoT eszközről                                                                                                    |           [Gyümölcsminőség ellenőrzése IoT eszközről](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Gyártás](./4-manufacturing/README.md)   |             Gyümölcsminőség-ellenőrző futtatása az edge-en             | Ismerd meg, hogyan futtathatod a gyümölcsminőség-ellenőrződet egy IoT eszközön az edge-en                                                                                                |             [Gyümölcsminőség-ellenőrző futtatása az edge-en](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Gyártás](./4-manufacturing/README.md)   |        Gyümölcsminőség-ellenőrzés indítása érzékelőről        | Ismerd meg, hogyan indíthatod el a gyümölcsminőség-ellenőrzést egy érzékelőről                                                                                                        |        [Gyümölcsminőség-ellenőrzés indítása érzékelőről](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Kiskereskedelem](./5-retail/README.md)          |                   Készletérzékelő betanítása                    | Ismerd meg, hogyan használhatod az objektumérzékelést egy készletérzékelő betanításához, hogy megszámold a készletet egy boltban                                                                                |                        [Készletérzékelő betanítása](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Kiskereskedelem](./5-retail/README.md)          |               Készlet ellenőrzése IoT eszközről                | Ismerd meg, hogyan ellenőrizheted a készletet egy IoT eszközről egy objektumérzékelő modell segítségével                                                                                         |                     [Készlet ellenőrzése IoT eszközről](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Fogyasztó](./6-consumer/README.md)        |             Beszédfelismerés IoT eszközzel             | Ismerd meg, hogyan ismerheted fel a beszédet egy IoT eszközről, hogy egy okos időzítőt készíts                                                                                             |                  [Beszédfelismerés IoT eszközzel](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Fogyasztó](./6-consumer/README.md)        |                     Nyelv megértése                     | Ismerd meg, hogyan értheted meg az IoT eszköznek mondott mondatokat                                                                                                           |                        [Nyelv megértése](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Fogyasztó](./6-consumer/README.md)        |           Időzítő beállítása és szóbeli visszajelzés           | Ismerd meg, hogyan állíthatsz be egy időzítőt egy IoT eszközön, és hogyan adhatsz szóbeli visszajelzést arról, mikor van beállítva az időzítő és mikor jár le                                                    |                 [Időzítő beállítása és szóbeli visszajelzés](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Fogyasztó](./6-consumer/README.md)        |                 Több nyelv támogatása                  | Ismerd meg, hogyan támogathatsz több nyelvet, mind a beszédben, mind az okos időzítő válaszaiban                                                               |                   [Több nyelv támogatása](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  13   |       [Szállítás](./3-transport/README.md)       |                   Helyadatok vizualizálása                   | Ismerd meg, hogyan lehet helyadatokat térképen megjeleníteni, és hogyan ábrázolják a térképek a valós 3D világot 2D-ben                                                            |                     [Helyadatok vizualizálása](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Szállítás](./3-transport/README.md)       |                          Geokerítések                          | Ismerd meg a geokerítéseket, és hogyan használhatók arra, hogy értesítést küldjenek, amikor az ellátási láncban lévő járművek közel vannak a célállomásukhoz                                           |                                   [Geokerítések](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Gyártás](./4-manufacturing/README.md)   |               Gyümölcsminőség-érzékelő betanítása                | Ismerd meg, hogyan lehet a felhőben képosztályozót betanítani a gyümölcsminőség érzékelésére                                                                                       |                 [Gyümölcsminőség-érzékelő betanítása](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Gyártás](./4-manufacturing/README.md)   |           Gyümölcsminőség ellenőrzése IoT eszközről            | Ismerd meg, hogyan használhatod a gyümölcsminőség-érzékelőt IoT eszközről                                                                                                    |           [Gyümölcsminőség ellenőrzése IoT eszközről](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Gyártás](./4-manufacturing/README.md)   |             Gyümölcsérzékelő futtatása az edge-en             | Ismerd meg, hogyan futtathatod a gyümölcsérzékelőt egy IoT eszközön az edge-en                                                                                                |             [Gyümölcsérzékelő futtatása az edge-en](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Gyártás](./4-manufacturing/README.md)   |        Gyümölcsminőség-érzékelés indítása érzékelőről        | Ismerd meg, hogyan indíthatod el a gyümölcsminőség-érzékelést egy érzékelőről                                                                                                        |        [Gyümölcsminőség-érzékelés indítása érzékelőről](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Kiskereskedelem](./5-retail/README.md)          |                   Készletérzékelő betanítása                    | Ismerd meg, hogyan használhatod az objektumérzékelést készletérzékelő betanítására, hogy megszámold a készletet egy boltban                                                                                |                        [Készletérzékelő betanítása](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Kiskereskedelem](./5-retail/README.md)          |               Készlet ellenőrzése IoT eszközről                | Ismerd meg, hogyan ellenőrizheted a készletet IoT eszközről egy objektumérzékelő modell segítségével                                                                                         |                     [Készlet ellenőrzése IoT eszközről](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Fogyasztó](./6-consumer/README.md)        |             Beszédfelismerés IoT eszközzel             | Ismerd meg, hogyan lehet beszédet felismerni IoT eszközről egy okos időzítő építéséhez                                                                                             |                  [Beszédfelismerés IoT eszközzel](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Fogyasztó](./6-consumer/README.md)        |                     Nyelv megértése                     | Ismerd meg, hogyan lehet megérteni az IoT eszköznek mondott mondatokat                                                                                                           |                        [Nyelv megértése](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Fogyasztó](./6-consumer/README.md)        |           Időzítő beállítása és beszédes visszajelzés           | Ismerd meg, hogyan állíthatsz be időzítőt IoT eszközön, és hogyan adhatsz beszédes visszajelzést arról, mikor van beállítva az időzítő és mikor ér véget                                                    |                 [Időzítő beállítása és beszédes visszajelzés](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Fogyasztó](./6-consumer/README.md)        |                 Több nyelv támogatása                  | Ismerd meg, hogyan támogathatsz több nyelvet, mind az IoT eszköznek mondott szövegek, mind az okos időzítő válaszai esetében                                                               |                   [Több nyelv támogatása](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline hozzáférés
 
-Ezt a dokumentációt offline is futtathatod a [Docsify](https://docsify.js.org/#/) segítségével. Forkold ezt a repót, [telepítsd a Docsify-t](https://docsify.js.org/#/quickstart) a helyi gépedre, majd a repó gyökérmappájában írd be a `docsify serve` parancsot. A weboldal a localhost 3000-es portján lesz elérhető: `localhost:3000`.
+Ezt a dokumentációt offline is futtathatod a [Docsify](https://docsify.js.org/#/) segítségével. Forkold ezt a repót, [telepítsd a Docsify-t](https://docsify.js.org/#/quickstart) a helyi gépedre, majd a repó gyökérmappájában írd be: `docsify serve`. A weboldal a localhost 3000-es portján lesz elérhető: `localhost:3000`.
 
 ## Kvíz
 
-Köszönet a közösségnek az interaktív kvízért, amely teszteli a fejezetekkel kapcsolatos tudásodat. Itt tesztelheted a tudásodat: [itt](https://ff-quizzes.netlify.app/en/) 
+Köszönjük a közösségnek, hogy hosztolja az interaktív kvízt, amely teszteli a tudásodat az egyes fejezetekről. Tudásodat [itt tesztelheted](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Ha szükséges, generálhatsz egy PDF-et erről a tartalomról offline hozzáféréshez. Ehhez győződj meg róla, hogy [npm telepítve van](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm), majd futtasd az alábbi parancsokat a repó gyökérmappájában:
+PDF-et is generálhatsz erről a tartalomról offline hozzáféréshez, ha szükséges. Ehhez győződj meg róla, hogy [npm telepítve van](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm), majd futtasd az alábbi parancsokat a repó gyökérmappájában:
 
 ```sh
 npm i
@@ -153,42 +159,45 @@ Csapatunk más tananyagokat is készít! Nézd meg:
 
 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Ügynökök
-[![AZD kezdőknek](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI kezdőknek](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP kezdőknek](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI ügynökök kezdőknek](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD kezdőknek](https://img.shields.io/badge/AZD%20kezdőknek-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI kezdőknek](https://img.shields.io/badge/Edge%20AI%20kezdőknek-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP kezdőknek](https://img.shields.io/badge/MCP%20kezdőknek-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI ügynökök kezdőknek](https://img.shields.io/badge/AI%20ügynökök%20kezdőknek-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
  
 ### Generatív AI sorozat
-[![Generatív AI kezdőknek](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generatív AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generatív AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generatív AI kezdőknek](https://img.shields.io/badge/Generatív%20AI%20kezdőknek-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generatív AI (.NET)](https://img.shields.io/badge/Generatív%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generatív AI (Java)](https://img.shields.io/badge/Generatív%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![Generatív AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Alapvető tanulás
-[![ML kezdőknek](https://img.shields.io/badge/ML%20kezdőknek-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Adattudomány kezdőknek](https://img.shields.io/badge/Adattudomány%20kezdőknek-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![MI kezdőknek](https://img.shields.io/badge/MI%20kezdőknek-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kiberbiztonság kezdőknek](https://img.shields.io/badge/Kiberbiztonság%20kezdőknek-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Webfejlesztés kezdőknek](https://img.shields.io/badge/Webfejlesztés%20kezdőknek-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT kezdőknek](https://img.shields.io/badge/IoT%20kezdőknek-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR fejlesztés kezdőknek](https://img.shields.io/badge/XR%20fejlesztés%20kezdőknek-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Alapvető tananyagok
+[![ML kezdőknek](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Adattudomány kezdőknek](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI kezdőknek](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Kiberbiztonság kezdőknek](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webfejlesztés kezdőknek](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT kezdőknek](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR fejlesztés kezdőknek](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot sorozat  
-[![Copilot az MI páros programozáshoz](https://img.shields.io/badge/Copilot%20az%20MI%20páros%20programozáshoz-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET-hez](https://img.shields.io/badge/Copilot%20C%23/.NET-hez-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot kaland](https://img.shields.io/badge/Copilot%20kaland-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot sorozat
+[![Copilot az AI páros programozáshoz](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot C#/.NET-hez](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot kaland](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Képek forrásmegjelölései  
+## Képek forrásmegjelölése
 
-A tananyagban használt képek forrásmegjelöléseit, ahol szükséges, megtalálhatod az [Attributions](./attributions.md) fájlban.  
+A tananyagban használt képek forrásmegjelöléseit, ahol szükséges, megtalálhatod az [Attributions](./attributions.md) fájlban.
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Felelősség kizárása**:  
-Ez a dokumentum az AI fordítási szolgáltatás [Co-op Translator](https://github.com/Azure/co-op-translator) segítségével lett lefordítva. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum az eredeti nyelvén tekintendő hiteles forrásnak. Kritikus információk esetén javasolt professzionális emberi fordítást igénybe venni. Nem vállalunk felelősséget az ebből a fordításból eredő félreértésekért vagy téves értelmezésekért.
\ No newline at end of file
+Ezt a dokumentumot az [Co-op Translator](https://github.com/Azure/co-op-translator) AI fordítási szolgáltatás segítségével fordították le. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum az eredeti nyelvén tekintendő hiteles forrásnak. Kritikus információk esetén javasolt professzionális emberi fordítást igénybe venni. Nem vállalunk felelősséget a fordítás használatából eredő félreértésekért vagy téves értelmezésekért.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/id/README.md b/translations/id/README.md
index ade20cc66..39a485f65 100644
--- a/translations/id/README.md
+++ b/translations/id/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:17:58+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:55:09+00:00",
   "source_file": "README.md",
   "language_code": "id"
 }
@@ -17,23 +17,30 @@ CO_OP_TRANSLATOR_METADATA:
 [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
 [![Bintang GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Bergabung dengan Komunitas Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Bergabung dengan Komunitas Azure AI Foundry 
+
+Jika Anda mengalami kesulitan atau memiliki pertanyaan tentang membangun aplikasi AI, bergabunglah dengan pelajar lain dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang mendukung di mana pertanyaan diterima dan pengetahuan dibagikan secara bebas.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Jika Anda memiliki masukan produk atau menemukan kesalahan saat membangun, kunjungi:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 Ikuti langkah-langkah ini untuk mulai menggunakan sumber daya ini:
-1. **Fork Repositori**: Klik [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone Repositori**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Bergabunglah dengan Azure AI Foundry Discord dan temui para ahli serta pengembang lainnya**](https://discord.com/invite/ByRwuEEgH4)
+1. **Fork Repository**: Klik [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **Clone Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Bergabung dengan Microsoft Foundry Discord dan temui para ahli serta pengembang lainnya**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Dukungan Multi-Bahasa
 
 #### Didukung melalui GitHub Action (Otomatis & Selalu Terbaru)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Makau)](../mo/README.md) | [Cina (Tradisional, Taiwan)](../tw/README.md) | [Kroasia](../hr/README.md) | [Ceko](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finlandia](../fi/README.md) | [Prancis](../fr/README.md) | [Jerman](../de/README.md) | [Yunani](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hungaria](../hu/README.md) | [Indonesia](./README.md) | [Italia](../it/README.md) | [Jepang](../ja/README.md) | [Korea](../ko/README.md) | [Lituania](../lt/README.md) | [Melayu](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegia](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Polandia](../pl/README.md) | [Portugis (Brasil)](../br/README.md) | [Portugis (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Kiril)](../sr/README.md) | [Slovakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipina)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailand](../th/README.md) | [Turki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md)
+[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Makau)](../mo/README.md) | [Cina (Tradisional, Taiwan)](../tw/README.md) | [Kroasia](../hr/README.md) | [Ceko](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finlandia](../fi/README.md) | [Prancis](../fr/README.md) | [Jerman](../de/README.md) | [Yunani](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hungaria](../hu/README.md) | [Indonesia](./README.md) | [Italia](../it/README.md) | [Jepang](../ja/README.md) | [Korea](../ko/README.md) | [Lituania](../lt/README.md) | [Melayu](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeria](../pcm/README.md) | [Norwegia](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Polandia](../pl/README.md) | [Portugis (Brasil)](../br/README.md) | [Portugis (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Kiril)](../sr/README.md) | [Slovakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipina)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailand](../th/README.md) | [Turki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT untuk Pemula - Kurikulum
+# IoT untuk Pemula - Sebuah Kurikulum
 
 Azure Cloud Advocates di Microsoft dengan senang hati menawarkan kurikulum 12 minggu, 24 pelajaran tentang dasar-dasar IoT. Setiap pelajaran mencakup kuis sebelum dan sesudah pelajaran, instruksi tertulis untuk menyelesaikan pelajaran, solusi, tugas, dan lainnya. Pendekatan berbasis proyek kami memungkinkan Anda belajar sambil membangun, cara yang terbukti untuk membuat keterampilan baru lebih mudah diingat.
 
@@ -47,7 +54,7 @@ Proyek-proyek ini mencakup perjalanan makanan dari ladang ke meja. Ini mencakup
 
 **Terima kasih juga kepada tim kami dari [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) yang telah meninjau dan menerjemahkan kurikulum ini - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), dan [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
-Kenali tim kami!
+Temui tim kami!
 
 [![Video promo](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
@@ -57,9 +64,9 @@ Kenali tim kami!
 
 > **Guru**, kami telah [menyertakan beberapa saran](for-teachers.md) tentang cara menggunakan kurikulum ini. Jika Anda ingin membuat pelajaran sendiri, kami juga telah menyertakan [template pelajaran](lesson-template/README.md).
 
-> **[Siswa](https://aka.ms/student-page)**, untuk menggunakan kurikulum ini secara mandiri, fork seluruh repo dan selesaikan latihan sendiri, dimulai dengan kuis sebelum pelajaran, kemudian membaca materi pelajaran dan menyelesaikan aktivitas lainnya. Cobalah untuk membuat proyek dengan memahami pelajaran daripada menyalin kode solusi; namun kode tersebut tersedia di folder /solutions di setiap pelajaran berbasis proyek. Ide lainnya adalah membentuk kelompok belajar dengan teman-teman dan mempelajari konten bersama-sama. Untuk studi lebih lanjut, kami merekomendasikan [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Siswa](https://aka.ms/student-page)**, untuk menggunakan kurikulum ini secara mandiri, fork seluruh repo dan selesaikan latihan secara mandiri, dimulai dengan kuis pra-pelajaran, kemudian membaca pelajaran dan menyelesaikan aktivitas lainnya. Cobalah untuk membuat proyek dengan memahami pelajaran daripada menyalin kode solusi; namun kode tersebut tersedia di folder /solutions di setiap pelajaran berbasis proyek. Ide lainnya adalah membentuk kelompok belajar dengan teman-teman dan mempelajari konten bersama-sama. Untuk studi lebih lanjut, kami merekomendasikan [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
-Untuk video pengantar tentang kursus ini, lihat video berikut:
+Untuk video ringkasan tentang kursus ini, lihat video berikut:
 
 [![Video promo](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video promo")
 
@@ -71,15 +78,15 @@ Kami memilih dua prinsip pedagogi saat membangun kurikulum ini: memastikan bahwa
 
 Dengan memastikan bahwa konten selaras dengan proyek, proses pembelajaran menjadi lebih menarik bagi siswa dan retensi konsep akan meningkat.
 
-Selain itu, kuis dengan risiko rendah sebelum kelas menetapkan niat siswa untuk mempelajari topik tertentu, sementara kuis kedua setelah kelas memastikan retensi lebih lanjut. Kurikulum ini dirancang agar fleksibel dan menyenangkan serta dapat diikuti secara keseluruhan atau sebagian. Proyek dimulai dari yang kecil dan menjadi semakin kompleks pada akhir siklus 12 minggu.
+Selain itu, kuis dengan risiko rendah sebelum kelas menetapkan niat siswa untuk mempelajari topik tertentu, sementara kuis kedua setelah kelas memastikan retensi lebih lanjut. Kurikulum ini dirancang agar fleksibel dan menyenangkan serta dapat diambil secara keseluruhan atau sebagian. Proyek dimulai dari yang kecil dan menjadi semakin kompleks pada akhir siklus 12 minggu.
 
-Setiap proyek didasarkan pada perangkat keras dunia nyata yang tersedia untuk siswa dan penggemar. Setiap proyek mengeksplorasi domain proyek tertentu, memberikan pengetahuan latar belakang yang relevan. Untuk menjadi pengembang yang sukses, penting untuk memahami domain di mana Anda memecahkan masalah. Memberikan pengetahuan latar belakang ini memungkinkan siswa untuk memikirkan solusi IoT dan pembelajaran mereka dalam konteks jenis masalah dunia nyata yang mungkin diminta untuk mereka selesaikan sebagai pengembang IoT. Siswa belajar 'mengapa' dari solusi yang mereka bangun, dan mendapatkan apresiasi terhadap pengguna akhir.
+Setiap proyek didasarkan pada perangkat keras dunia nyata yang tersedia untuk siswa dan penggemar. Setiap proyek mengeksplorasi domain proyek tertentu, memberikan pengetahuan latar belakang yang relevan. Untuk menjadi pengembang yang sukses, penting untuk memahami domain di mana Anda memecahkan masalah. Memberikan pengetahuan latar belakang ini memungkinkan siswa untuk memikirkan solusi IoT mereka dan pembelajaran dalam konteks jenis masalah dunia nyata yang mungkin diminta untuk mereka selesaikan sebagai pengembang IoT. Siswa belajar 'mengapa' dari solusi yang mereka bangun dan mendapatkan apresiasi terhadap pengguna akhir.
 
 ## Perangkat Keras
 
-Kami memiliki dua pilihan perangkat keras IoT untuk digunakan dalam proyek tergantung pada preferensi pribadi, pengetahuan atau preferensi bahasa pemrograman, tujuan pembelajaran, dan ketersediaan. Kami juga menyediakan versi 'perangkat keras virtual' bagi mereka yang tidak memiliki akses ke perangkat keras, atau ingin belajar lebih banyak sebelum memutuskan untuk membeli. Anda dapat membaca lebih lanjut dan menemukan 'daftar belanja' di [halaman perangkat keras](./hardware.md), termasuk tautan untuk membeli kit lengkap dari teman-teman kami di Seeed Studio.
+Kami memiliki dua pilihan perangkat keras IoT untuk digunakan dalam proyek tergantung pada preferensi pribadi, pengetahuan bahasa pemrograman atau preferensi, tujuan pembelajaran, dan ketersediaan. Kami juga menyediakan versi 'perangkat keras virtual' bagi mereka yang tidak memiliki akses ke perangkat keras, atau ingin belajar lebih banyak sebelum memutuskan untuk membeli. Anda dapat membaca lebih lanjut dan menemukan 'daftar belanja' di [halaman perangkat keras](./hardware.md), termasuk tautan untuk membeli kit lengkap dari mitra kami di Seeed Studio.
 
-> 💁 Temukan [Kode Etik](CODE_OF_CONDUCT.md), [Kontribusi](CONTRIBUTING.md), dan panduan [Terjemahan](TRANSLATIONS.md) kami. Kami menyambut umpan balik konstruktif Anda!
+> 💁 Temukan [Kode Etik](CODE_OF_CONDUCT.md), [Kontribusi](CONTRIBUTING.md), dan panduan [Terjemahan](TRANSLATIONS.md) kami. Kami menyambut masukan konstruktif Anda!
 
 ## Setiap pelajaran mencakup:
 
@@ -93,41 +100,40 @@ Kami memiliki dua pilihan perangkat keras IoT untuk digunakan dalam proyek terga
 - bacaan tambahan
 - tugas
 - [kuis setelah pelajaran](https://ff-quizzes.netlify.app/en/)
-
-> **Catatan tentang kuis**: Semua kuis terdapat di folder quiz-app, dengan total 48 kuis masing-masing terdiri dari tiga pertanyaan. Kuis tersebut terhubung dari dalam pelajaran tetapi aplikasi kuis dapat dijalankan secara lokal atau diterapkan ke Azure; ikuti instruksi di folder `quiz-app`. Kuis ini secara bertahap sedang dilokalkan.
+> **Catatan tentang kuis**: Semua kuis terdapat di folder quiz-app, dengan total 48 kuis yang masing-masing terdiri dari tiga pertanyaan. Kuis ini terhubung dari dalam pelajaran, tetapi aplikasi kuis dapat dijalankan secara lokal atau dideploy ke Azure; ikuti instruksi di folder `quiz-app`. Kuis ini secara bertahap sedang dilokalkan.
 
 ## Pelajaran
 
 |       |              Nama Proyek              |                       Konsep yang Diajarkan                       | Tujuan Pembelajaran                                                                                                                                                 |                                                        Pelajaran Terkait                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+| :---: | :-----------------------------------: | :---------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-----------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Memulai](./1-getting-started/README.md) |                     Pengantar IoT                     | Pelajari prinsip dasar IoT dan komponen dasar solusi IoT seperti sensor dan layanan cloud sambil Anda menyiapkan perangkat IoT pertama Anda |                      [Pengantar IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Memulai](./1-getting-started/README.md) |                   Pendalaman tentang IoT                    | Pelajari lebih lanjut tentang komponen sistem IoT, serta mikrokontroler dan komputer papan tunggal                                                            |                        [Pendalaman tentang IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  02   | [Memulai](./1-getting-started/README.md) |                   Penjelajahan lebih dalam tentang IoT                    | Pelajari lebih lanjut tentang komponen sistem IoT, serta mikrokontroler dan komputer papan tunggal                                                            |                        [Penjelajahan lebih dalam tentang IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [Memulai](./1-getting-started/README.md) | Berinteraksi dengan dunia fisik menggunakan sensor dan aktuator | Pelajari tentang sensor untuk mengumpulkan data dari dunia fisik, dan aktuator untuk memberikan umpan balik, sambil Anda membuat lampu malam                                           | [Berinteraksi dengan dunia fisik menggunakan sensor dan aktuator](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Memulai](./1-getting-started/README.md) |             Hubungkan perangkat Anda ke Internet             | Pelajari cara menghubungkan perangkat IoT ke Internet untuk mengirim dan menerima pesan dengan menghubungkan lampu malam Anda ke broker MQTT                               |               [Hubungkan perangkat Anda ke Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Pertanian](./2-farm/README.md)            |                    Prediksi pertumbuhan tanaman                     | Pelajari cara memprediksi pertumbuhan tanaman menggunakan data suhu yang ditangkap oleh perangkat IoT                                                                                  |                          [Prediksi pertumbuhan tanaman](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Pertanian](./2-farm/README.md)            |                    Deteksi kelembapan tanah                     | Pelajari cara mendeteksi kelembapan tanah dan mengkalibrasi sensor kelembapan tanah                                                                                              |                          [Deteksi kelembapan tanah](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  04   | [Memulai](./1-getting-started/README.md) |             Menghubungkan perangkat Anda ke Internet             | Pelajari cara menghubungkan perangkat IoT ke Internet untuk mengirim dan menerima pesan dengan menghubungkan lampu malam Anda ke broker MQTT                               |               [Menghubungkan perangkat Anda ke Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Pertanian](./2-farm/README.md)            |                    Memprediksi pertumbuhan tanaman                     | Pelajari cara memprediksi pertumbuhan tanaman menggunakan data suhu yang ditangkap oleh perangkat IoT                                                                                  |                          [Memprediksi pertumbuhan tanaman](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Pertanian](./2-farm/README.md)            |                    Mendeteksi kelembapan tanah                     | Pelajari cara mendeteksi kelembapan tanah dan mengkalibrasi sensor kelembapan tanah                                                                                              |                          [Mendeteksi kelembapan tanah](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
 |  07   |            [Pertanian](./2-farm/README.md)            |                  Penyiraman tanaman otomatis                   | Pelajari cara mengotomatisasi dan mengatur waktu penyiraman menggunakan relay dan MQTT                                                                                                      |                      [Penyiraman tanaman otomatis](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Pertanian](./2-farm/README.md)            |               Migrasikan tanaman Anda ke cloud               | Pelajari tentang cloud dan layanan IoT yang di-host di cloud serta cara menghubungkan tanaman Anda ke salah satu layanan tersebut alih-alih menggunakan broker MQTT publik                                   |               [Migrasikan tanaman Anda ke cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  08   |            [Pertanian](./2-farm/README.md)            |               Migrasikan tanaman Anda ke cloud               | Pelajari tentang cloud dan layanan IoT yang di-host di cloud serta cara menghubungkan tanaman Anda ke salah satu layanan ini alih-alih menggunakan broker MQTT publik                                   |               [Migrasikan tanaman Anda ke cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
 |  09   |            [Pertanian](./2-farm/README.md)            |         Migrasikan logika aplikasi Anda ke cloud         | Pelajari cara menulis logika aplikasi di cloud yang merespons pesan IoT                                                                          |         [Migrasikan logika aplikasi Anda ke cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Pertanian](./2-farm/README.md)            |                   Amankan tanaman Anda                    | Pelajari tentang keamanan dengan IoT dan cara menjaga keamanan tanaman Anda menggunakan kunci dan sertifikat                                                                          |                        [Amankan tanaman Anda](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  10   |            [Pertanian](./2-farm/README.md)            |                   Amankan tanaman Anda                    | Pelajari tentang keamanan dengan IoT dan cara menjaga keamanan tanaman Anda dengan kunci dan sertifikat                                                                          |                        [Amankan tanaman Anda](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Transportasi](./3-transport/README.md)       |                      Pelacakan lokasi                      | Pelajari tentang pelacakan lokasi GPS untuk perangkat IoT                                                                                                                   |                           [Pelacakan lokasi](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transportasi](./3-transport/README.md)       |                     Simpan data lokasi                     | Pelajari cara menyimpan data IoT untuk divisualisasikan atau dianalisis nanti                                                                                                      |                         [Simpan data lokasi](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transportasi](./3-transport/README.md)       |                   Visualisasikan data lokasi                   | Pelajari tentang memvisualisasikan data lokasi pada peta, dan bagaimana peta merepresentasikan dunia 3D nyata dalam 2 dimensi                                                            |                     [Visualisasikan data lokasi](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  12   |       [Transportasi](./3-transport/README.md)       |                     Menyimpan data lokasi                     | Pelajari cara menyimpan data IoT untuk divisualisasikan atau dianalisis nanti                                                                                                      |                         [Menyimpan data lokasi](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transportasi](./3-transport/README.md)       |                   Visualisasi data lokasi                   | Pelajari tentang memvisualisasikan data lokasi pada peta, dan bagaimana peta merepresentasikan dunia 3D nyata dalam 2 dimensi                                                            |                     [Visualisasi data lokasi](./3-transport/lessons/3-visualize-location-data/README.md)                     |
 |  14   |       [Transportasi](./3-transport/README.md)       |                          Geofence                          | Pelajari tentang geofence, dan bagaimana mereka dapat digunakan untuk memberikan peringatan ketika kendaraan dalam rantai pasokan mendekati tujuan mereka                                           |                                   [Geofence](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufaktur](./4-manufacturing/README.md)   |               Latih detektor kualitas buah                | Pelajari tentang melatih pengklasifikasi gambar di cloud untuk mendeteksi kualitas buah                                                                                       |                 [Latih detektor kualitas buah](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufaktur](./4-manufacturing/README.md)   |           Periksa kualitas buah dari perangkat IoT            | Pelajari tentang menggunakan detektor kualitas buah Anda dari perangkat IoT                                                                                                    |           [Periksa kualitas buah dari perangkat IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Manufaktur](./4-manufacturing/README.md)   |             Jalankan detektor buah Anda di edge             | Pelajari tentang menjalankan detektor buah Anda di perangkat IoT di edge                                                                                                |             [Jalankan detektor buah Anda di edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufaktur](./4-manufacturing/README.md)   |        Aktifkan deteksi kualitas buah dari sensor        | Pelajari tentang mengaktifkan deteksi kualitas buah dari sensor                                                                                                        |        [Aktifkan deteksi kualitas buah dari sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Ritel](./5-retail/README.md)          |                   Latih detektor stok                    | Pelajari cara menggunakan deteksi objek untuk melatih detektor stok agar dapat menghitung stok di toko                                                                                |                        [Latih detektor stok](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Ritel](./5-retail/README.md)          |               Periksa stok dari perangkat IoT                | Pelajari cara memeriksa stok dari perangkat IoT menggunakan model deteksi objek                                                                                         |                     [Periksa stok dari perangkat IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Konsumen](./6-consumer/README.md)        |             Kenali ucapan dengan perangkat IoT             | Pelajari cara mengenali ucapan dari perangkat IoT untuk membuat timer pintar                                                                                             |                  [Kenali ucapan dengan perangkat IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Konsumen](./6-consumer/README.md)        |                     Pahami bahasa                     | Pelajari cara memahami kalimat yang diucapkan ke perangkat IoT                                                                                                           |                        [Pahami bahasa](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Konsumen](./6-consumer/README.md)        |           Atur timer dan berikan umpan balik suara           | Pelajari cara mengatur timer pada perangkat IoT dan memberikan umpan balik suara tentang kapan timer diatur dan kapan selesai                                                    |                 [Atur timer dan berikan umpan balik suara](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Konsumen](./6-consumer/README.md)        |                 Dukung banyak bahasa                  | Pelajari cara mendukung banyak bahasa, baik yang diucapkan maupun respons dari timer pintar Anda                                                               |                   [Dukung banyak bahasa](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  15   |   [Manufaktur](./4-manufacturing/README.md)   |               Melatih detektor kualitas buah                | Pelajari tentang melatih pengklasifikasi gambar di cloud untuk mendeteksi kualitas buah                                                                                       |                 [Melatih detektor kualitas buah](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Manufaktur](./4-manufacturing/README.md)   |           Memeriksa kualitas buah dari perangkat IoT            | Pelajari tentang menggunakan detektor kualitas buah Anda dari perangkat IoT                                                                                                    |           [Memeriksa kualitas buah dari perangkat IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Manufaktur](./4-manufacturing/README.md)   |             Menjalankan detektor buah Anda di edge             | Pelajari tentang menjalankan detektor buah Anda pada perangkat IoT di edge                                                                                                |             [Menjalankan detektor buah Anda di edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Manufaktur](./4-manufacturing/README.md)   |        Memicu deteksi kualitas buah dari sensor        | Pelajari tentang memicu deteksi kualitas buah dari sensor                                                                                                        |        [Memicu deteksi kualitas buah dari sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Ritel](./5-retail/README.md)          |                   Melatih detektor stok                    | Pelajari cara menggunakan deteksi objek untuk melatih detektor stok guna menghitung stok di toko                                                                                |                        [Melatih detektor stok](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Ritel](./5-retail/README.md)          |               Memeriksa stok dari perangkat IoT                | Pelajari cara memeriksa stok dari perangkat IoT menggunakan model deteksi objek                                                                                         |                     [Memeriksa stok dari perangkat IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Konsumen](./6-consumer/README.md)        |             Mengenali ucapan dengan perangkat IoT             | Pelajari cara mengenali ucapan dari perangkat IoT untuk membangun pengatur waktu pintar                                                                                             |                  [Mengenali ucapan dengan perangkat IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Konsumen](./6-consumer/README.md)        |                     Memahami bahasa                     | Pelajari cara memahami kalimat yang diucapkan ke perangkat IoT                                                                                                           |                        [Memahami bahasa](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Konsumen](./6-consumer/README.md)        |           Mengatur pengatur waktu dan memberikan umpan balik suara           | Pelajari cara mengatur pengatur waktu pada perangkat IoT dan memberikan umpan balik suara tentang kapan pengatur waktu diatur dan kapan selesai                                                    |                 [Mengatur pengatur waktu dan memberikan umpan balik suara](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Konsumen](./6-consumer/README.md)        |                 Mendukung banyak bahasa                  | Pelajari cara mendukung banyak bahasa, baik yang diucapkan maupun tanggapan dari pengatur waktu pintar Anda                                                               |                   [Mendukung banyak bahasa](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Akses Offline
 
-Anda dapat menjalankan dokumentasi ini secara offline dengan menggunakan [Docsify](https://docsify.js.org/#/). Fork repositori ini, [instal Docsify](https://docsify.js.org/#/quickstart) di mesin lokal Anda, lalu di folder root repositori ini, ketik `docsify serve`. Situs web akan disajikan di port 3000 di localhost Anda: `localhost:3000`.
+Anda dapat menjalankan dokumentasi ini secara offline menggunakan [Docsify](https://docsify.js.org/#/). Fork repositori ini, [instal Docsify](https://docsify.js.org/#/quickstart) di mesin lokal Anda, lalu di folder root repositori ini, ketik `docsify serve`. Situs web akan disajikan di port 3000 di localhost Anda: `localhost:3000`.
 
 ## Kuis
 
@@ -135,7 +141,7 @@ Terima kasih kepada komunitas yang telah menyediakan kuis interaktif untuk mengu
 
 ### PDF
 
-Anda dapat membuat PDF dari konten ini untuk akses offline jika diperlukan. Untuk melakukan ini, pastikan Anda memiliki [npm terinstal](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) dan jalankan perintah berikut di folder root repositori ini:
+Anda dapat membuat PDF dari konten ini untuk akses offline jika diperlukan. Untuk melakukannya, pastikan Anda telah [menginstal npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) dan jalankan perintah berikut di folder root repositori ini:
 
 ```sh
 npm i
@@ -144,14 +150,12 @@ npm run convert
 
 ### Slide
 
-Terdapat deck slide untuk beberapa pelajaran di folder [slides](../../slides).
-
+Terdapat dek slide untuk beberapa pelajaran di folder [slides](../../slides).
 
-## Kurikulum Lain
+## Kurikulum Lainnya
 
 Tim kami juga membuat kurikulum lainnya! Lihat:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agen
 [![AZD untuk Pemula](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI untuk Pemula](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,15 +163,15 @@ Tim kami juga membuat kurikulum lainnya! Lihat:
 [![Agen AI untuk Pemula](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Seri AI Generatif
 [![AI Generatif untuk Pemula](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI Generatif (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![AI Generatif (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![AI Generatif (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Pembelajaran Inti
 [![ML untuk Pemula](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![Data Science untuk Pemula](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
@@ -187,9 +191,11 @@ Tim kami juga membuat kurikulum lainnya! Lihat:
 
 ## Atribusi Gambar
 
-Anda dapat menemukan semua atribusi untuk gambar yang digunakan dalam kurikulum ini jika diperlukan di [Atribusi](./attributions.md).
+Anda dapat menemukan semua atribusi untuk gambar yang digunakan dalam kurikulum ini di [Atribusi](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Penafian**:  
-Dokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk memberikan hasil yang akurat, harap diketahui bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemahan manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang timbul dari penggunaan terjemahan ini.
\ No newline at end of file
+Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk memberikan terjemahan yang akurat, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang berwenang. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemah manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau interpretasi yang salah yang timbul dari penggunaan terjemahan ini.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/it/README.md b/translations/it/README.md
index 8f2a8f55d..4ea10f82c 100644
--- a/translations/it/README.md
+++ b/translations/it/README.md
@@ -1,141 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:08:27+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:37:03+00:00",
   "source_file": "README.md",
   "language_code": "it"
 }
 -->
-[![Licenza GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![Contributori GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![Problemi GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![Richieste di pull GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![Licenza GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![Contributori GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![Problemi GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![Richieste di pull GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Osservatori GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Stelle GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![Osservatori GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Stelle GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Unisciti alla Community Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Unisciti alla Community Azure AI Foundry  
 
-Segui questi passaggi per iniziare a utilizzare queste risorse:
-1. **Fai un Fork del Repository**: Clicca [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clona il Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Unisciti al Discord di Azure AI Foundry e incontra esperti e altri sviluppatori**](https://discord.com/invite/ByRwuEEgH4)
+Se ti trovi in difficoltà o hai domande sulla creazione di app AI, unisciti ad altri studenti e sviluppatori esperti nelle discussioni su MCP. È una comunità di supporto dove le domande sono benvenute e la conoscenza viene condivisa liberamente.  
 
-### 🌐 Supporto Multilingue
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Supportato tramite GitHub Action (Automatizzato e Sempre Aggiornato)
+Se hai feedback sui prodotti o riscontri errori durante la creazione, visita:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabo](../ar/README.md) | [Bengalese](../bn/README.md) | [Bulgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Cinese (Semplificato)](../zh/README.md) | [Cinese (Tradizionale, Hong Kong)](../hk/README.md) | [Cinese (Tradizionale, Macao)](../mo/README.md) | [Cinese (Tradizionale, Taiwan)](../tw/README.md) | [Croato](../hr/README.md) | [Ceco](../cs/README.md) | [Danese](../da/README.md) | [Olandese](../nl/README.md) | [Estone](../et/README.md) | [Finlandese](../fi/README.md) | [Francese](../fr/README.md) | [Tedesco](../de/README.md) | [Greco](../el/README.md) | [Ebraico](../he/README.md) | [Hindi](../hi/README.md) | [Ungherese](../hu/README.md) | [Indonesiano](../id/README.md) | [Italiano](./README.md) | [Giapponese](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malese](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalese](../ne/README.md) | [Norvegese](../no/README.md) | [Persiano (Farsi)](../fa/README.md) | [Polacco](../pl/README.md) | [Portoghese (Brasile)](../br/README.md) | [Portoghese (Portogallo)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeno](../ro/README.md) | [Russo](../ru/README.md) | [Serbo (Cirillico)](../sr/README.md) | [Slovacco](../sk/README.md) | [Sloveno](../sl/README.md) | [Spagnolo](../es/README.md) | [Swahili](../sw/README.md) | [Svedese](../sv/README.md) | [Tagalog (Filippino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailandese](../th/README.md) | [Turco](../tr/README.md) | [Ucraino](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT per Principianti - Un Curriculum
+Segui questi passaggi per iniziare a utilizzare queste risorse:  
+1. **Fai il fork del repository**: Clicca [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clona il repository**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Unisciti al Discord di Microsoft Foundry e incontra esperti e altri sviluppatori**](https://discord.com/invite/ByRwuEEgH4)  
 
-Gli Azure Cloud Advocates di Microsoft sono lieti di offrire un curriculum di 12 settimane e 24 lezioni dedicato ai fondamenti dell'IoT. Ogni lezione include quiz pre e post lezione, istruzioni scritte per completare la lezione, una soluzione, un compito e altro ancora. La nostra pedagogia basata sui progetti ti permette di imparare mentre costruisci, un metodo comprovato per far sì che le nuove competenze rimangano impresse.
+### 🌐 Supporto Multilingue  
 
-I progetti coprono il percorso del cibo dalla fattoria alla tavola. Questo include agricoltura, logistica, produzione, vendita al dettaglio e consumatori - tutti settori popolari per i dispositivi IoT.
+#### Supportato tramite GitHub Action (Automatizzato e Sempre Aggiornato)  
 
-![Una mappa del corso che mostra 24 lezioni che coprono introduzione, agricoltura, trasporto, lavorazione, vendita al dettaglio e cucina](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.it.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabo](../ar/README.md) | [Bengalese](../bn/README.md) | [Bulgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Cinese (Semplificato)](../zh/README.md) | [Cinese (Tradizionale, Hong Kong)](../hk/README.md) | [Cinese (Tradizionale, Macao)](../mo/README.md) | [Cinese (Tradizionale, Taiwan)](../tw/README.md) | [Croato](../hr/README.md) | [Ceco](../cs/README.md) | [Danese](../da/README.md) | [Olandese](../nl/README.md) | [Estone](../et/README.md) | [Finlandese](../fi/README.md) | [Francese](../fr/README.md) | [Tedesco](../de/README.md) | [Greco](../el/README.md) | [Ebraico](../he/README.md) | [Hindi](../hi/README.md) | [Ungherese](../hu/README.md) | [Indonesiano](../id/README.md) | [Italiano](./README.md) | [Giapponese](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malese](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalese](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norvegese](../no/README.md) | [Persiano (Farsi)](../fa/README.md) | [Polacco](../pl/README.md) | [Portoghese (Brasile)](../br/README.md) | [Portoghese (Portogallo)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeno](../ro/README.md) | [Russo](../ru/README.md) | [Serbo (Cirillico)](../sr/README.md) | [Slovacco](../sk/README.md) | [Sloveno](../sl/README.md) | [Spagnolo](../es/README.md) | [Swahili](../sw/README.md) | [Svedese](../sv/README.md) | [Tagalog (Filippino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailandese](../th/README.md) | [Turco](../tr/README.md) | [Ucraino](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> Sketchnote di [Nitya Narasimhan](https://github.com/nitya). Clicca sull'immagine per una versione più grande.
+# IoT per Principianti - Un Curriculum  
 
-**Un sentito ringraziamento ai nostri autori [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), e alla nostra artista di sketchnote [Nitya Narasimhan](https://github.com/nitya).**
+Gli Azure Cloud Advocates di Microsoft sono lieti di offrire un curriculum di 12 settimane e 24 lezioni dedicato alle basi dell'IoT. Ogni lezione include quiz pre- e post-lezione, istruzioni scritte per completare la lezione, una soluzione, un compito e altro ancora. La nostra pedagogia basata sui progetti ti permette di imparare costruendo, un metodo comprovato per far sì che le nuove competenze rimangano impresse.  
 
-**Grazie anche al nostro team di [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) che hanno revisionato e tradotto questo curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), e [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+I progetti coprono il percorso del cibo dalla fattoria alla tavola. Questo include agricoltura, logistica, produzione, vendita al dettaglio e consumatori - tutti settori popolari per i dispositivi IoT.  
 
-Incontra il team!
+![Una mappa del corso che mostra 24 lezioni che coprono introduzione, agricoltura, trasporto, lavorazione, vendita al dettaglio e cucina](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.it.jpg)  
 
-[![Video promozionale](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote di [Nitya Narasimhan](https://github.com/nitya). Clicca sull'immagine per una versione più grande.  
 
-**Gif di** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Un sentito ringraziamento ai nostri autori [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), e alla nostra artista di sketchnote [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Clicca sull'immagine sopra per un video sul progetto!
+**Grazie anche al nostro team di [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) che hanno revisionato e tradotto questo curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), e [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Insegnanti**, abbiamo [incluso alcune indicazioni](for-teachers.md) su come utilizzare questo curriculum. Se desiderate creare le vostre lezioni, abbiamo anche incluso un [modello di lezione](lesson-template/README.md).
+Incontra il team!  
 
-> **[Studenti](https://aka.ms/student-page)**, per utilizzare questo curriculum autonomamente, fate un fork dell'intero repository e completate gli esercizi da soli, iniziando con un quiz pre-lezione, poi leggendo la lezione e completando il resto delle attività. Provate a creare i progetti comprendendo le lezioni piuttosto che copiando il codice della soluzione; tuttavia quel codice è disponibile nelle cartelle /solutions in ogni lezione orientata al progetto. Un'altra idea potrebbe essere formare un gruppo di studio con amici e affrontare insieme i contenuti. Per ulteriori studi, consigliamo [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Video promozionale](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Per una panoramica video di questo corso, guarda questo video:
+**Gif di** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Video promozionale](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video promozionale")
+> 🎥 Clicca sull'immagine sopra per un video sul progetto!  
 
-> 🎥 Clicca sull'immagine sopra per un video sul progetto!
+> **Insegnanti**, abbiamo [incluso alcune indicazioni](for-teachers.md) su come utilizzare questo curriculum. Se desiderate creare le vostre lezioni, abbiamo anche incluso un [modello di lezione](lesson-template/README.md).  
 
-## Pedagogia
+> **[Studenti](https://aka.ms/student-page)**, per utilizzare questo curriculum autonomamente, fate il fork dell'intero repository e completate gli esercizi da soli, iniziando con un quiz pre-lezione, poi leggendo la lezione e completando il resto delle attività. Provate a creare i progetti comprendendo le lezioni piuttosto che copiando il codice della soluzione; tuttavia quel codice è disponibile nelle cartelle /solutions in ogni lezione orientata al progetto. Un'altra idea potrebbe essere formare un gruppo di studio con amici e affrontare insieme il contenuto. Per ulteriori studi, consigliamo [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Abbiamo scelto due principi pedagogici durante la creazione di questo curriculum: garantire che sia basato su progetti e che includa quiz frequenti. Alla fine di questa serie, gli studenti avranno costruito un sistema di monitoraggio e irrigazione delle piante, un tracker per veicoli, un setup di fabbrica intelligente per tracciare e controllare il cibo, e un timer per la cucina controllato dalla voce, e avranno appreso le basi dell'Internet delle Cose, inclusa la scrittura di codice per dispositivi, la connessione al cloud, l'analisi della telemetria e l'esecuzione di AI al limite.
+Per una panoramica video di questo corso, guarda questo video:  
 
-Garantendo che i contenuti siano allineati ai progetti, il processo diventa più coinvolgente per gli studenti e la ritenzione dei concetti viene aumentata.
+[![Video promozionale](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video promozionale")  
 
-Inoltre, un quiz a basso rischio prima di una lezione orienta l'intenzione dello studente verso l'apprendimento di un argomento, mentre un secondo quiz dopo la lezione garantisce una maggiore ritenzione. Questo curriculum è stato progettato per essere flessibile e divertente e può essere seguito interamente o in parte. I progetti iniziano in modo semplice e diventano sempre più complessi verso la fine del ciclo di 12 settimane.
+> 🎥 Clicca sull'immagine sopra per un video sul progetto!  
 
-Ogni progetto si basa su hardware reale disponibile per studenti e appassionati. Ogni progetto esplora il dominio specifico del progetto, fornendo conoscenze di base pertinenti. Per essere uno sviluppatore di successo è utile comprendere il dominio in cui si stanno risolvendo i problemi; fornire queste conoscenze di base permette agli studenti di pensare alle loro soluzioni IoT e agli apprendimenti nel contesto del tipo di problema reale che potrebbero essere chiamati a risolvere come sviluppatori IoT. Gli studenti apprendono il 'perché' delle soluzioni che stanno costruendo e ottengono un apprezzamento per l'utente finale.
+## Pedagogia  
 
-## Hardware
+Abbiamo scelto due principi pedagogici durante la creazione di questo curriculum: garantire che sia basato sui progetti e che includa quiz frequenti. Alla fine di questa serie, gli studenti avranno costruito un sistema di monitoraggio e irrigazione delle piante, un tracker per veicoli, un setup di fabbrica intelligente per tracciare e controllare il cibo, e un timer per la cucina controllato dalla voce, e avranno appreso le basi dell'Internet delle Cose, inclusi come scrivere codice per dispositivi, connettersi al cloud, analizzare la telemetria e eseguire AI al margine.  
 
-Abbiamo due opzioni di hardware IoT da utilizzare per i progetti a seconda delle preferenze personali, della conoscenza o delle preferenze del linguaggio di programmazione, degli obiettivi di apprendimento e della disponibilità. Abbiamo anche fornito una versione di 'hardware virtuale' per coloro che non hanno accesso all'hardware o vogliono imparare di più prima di impegnarsi in un acquisto. Puoi leggere di più e trovare una 'lista della spesa' sulla [pagina dell'hardware](./hardware.md), inclusi link per acquistare kit completi dai nostri amici di Seeed Studio.
+Garantendo che il contenuto sia allineato ai progetti, il processo diventa più coinvolgente per gli studenti e la ritenzione dei concetti viene aumentata.  
 
-> 💁 Trova il nostro [Codice di Condotta](CODE_OF_CONDUCT.md), [Linee guida per il Contributo](CONTRIBUTING.md), e [Linee guida per la Traduzione](TRANSLATIONS.md). Accogliamo con favore i tuoi feedback costruttivi!
+Inoltre, un quiz a basso rischio prima di una lezione orienta l'intenzione dello studente verso l'apprendimento di un argomento, mentre un secondo quiz dopo la lezione garantisce una maggiore ritenzione. Questo curriculum è stato progettato per essere flessibile e divertente e può essere seguito interamente o in parte. I progetti iniziano piccoli e diventano sempre più complessi entro la fine del ciclo di 12 settimane.  
 
-## Ogni lezione include:
+Ogni progetto si basa su hardware reale disponibile per studenti e hobbisti. Ogni progetto esplora il dominio specifico del progetto, fornendo conoscenze di base pertinenti. Per essere uno sviluppatore di successo è utile comprendere il dominio in cui si stanno risolvendo problemi; fornire queste conoscenze di base permette agli studenti di pensare alle loro soluzioni IoT e agli apprendimenti nel contesto del tipo di problema reale che potrebbero essere chiamati a risolvere come sviluppatori IoT. Gli studenti apprendono il 'perché' delle soluzioni che stanno costruendo e ottengono un apprezzamento per l'utente finale.  
 
-- sketchnote
-- video supplementare opzionale
-- quiz di riscaldamento pre-lezione
-- lezione scritta
-- per le lezioni basate su progetti, guide passo-passo su come costruire il progetto
-- verifiche delle conoscenze
-- una sfida
-- letture supplementari
-- compito
-- [quiz post-lezione](https://ff-quizzes.netlify.app/en/)
+## Hardware  
 
-> **Una nota sui quiz**: Tutti i quiz sono contenuti nella cartella quiz-app, per un totale di 48 quiz di tre domande ciascuno. Sono collegati all'interno delle lezioni ma l'app quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. Sono gradualmente in fase di localizzazione.
+Abbiamo due opzioni di hardware IoT da utilizzare per i progetti a seconda delle preferenze personali, della conoscenza del linguaggio di programmazione o delle preferenze, degli obiettivi di apprendimento e della disponibilità. Abbiamo anche fornito una versione 'hardware virtuale' per coloro che non hanno accesso all'hardware o vogliono imparare di più prima di impegnarsi in un acquisto. Puoi leggere di più e trovare una 'lista della spesa' sulla [pagina hardware](./hardware.md), inclusi link per acquistare kit completi dai nostri amici di Seeed Studio.  
+
+> 💁 Trova il nostro [Codice di Condotta](CODE_OF_CONDUCT.md), [Contributi](CONTRIBUTING.md), e [Linee guida per la Traduzione](TRANSLATIONS.md). Accogliamo con favore i tuoi feedback costruttivi!  
+
+## Ogni lezione include:  
+
+- sketchnote  
+- video supplementare opzionale  
+- quiz di riscaldamento pre-lezione  
+- lezione scritta  
+- per le lezioni basate sui progetti, guide passo-passo su come costruire il progetto  
+- verifiche delle conoscenze  
+- una sfida  
+- letture supplementari  
+- compito  
+- [quiz post-lezione](https://ff-quizzes.netlify.app/en/)  
+> **Una nota sui quiz**: Tutti i quiz sono contenuti nella cartella quiz-app, per un totale di 48 quiz, ciascuno composto da tre domande. Sono collegati all'interno delle lezioni, ma l'app dei quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. La localizzazione è in corso.
 
 ## Lezioni
 
 |       |              Nome del Progetto              |                       Concetti Insegnati                       | Obiettivi di Apprendimento                                                                                                                                         |                                                        Lezione Collegata                                                         |
-| :---: | :-----------------------------------------: | :------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :-------------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Introduzione](./1-getting-started/README.md) |                     Introduzione all'IoT                     | Scopri i principi fondamentali dell'IoT e i componenti di base delle soluzioni IoT come sensori e servizi cloud mentre configuri il tuo primo dispositivo IoT |                      [Introduzione all'IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Introduzione](./1-getting-started/README.md) |                   Approfondimento sull'IoT                   | Scopri di più sui componenti di un sistema IoT, così come sui microcontrollori e computer a scheda singola                                                            |                        [Approfondimento sull'IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Introduzione](./1-getting-started/README.md) | Interagire con il mondo fisico tramite sensori e attuatori   | Scopri i sensori per raccogliere dati dal mondo fisico e gli attuatori per inviare feedback, mentre costruisci una luce notturna                                    | [Interagire con il mondo fisico tramite sensori e attuatori](./1-getting-started/lessons/3-sensors-and-actuators/README.md)   |
-|  04   | [Introduzione](./1-getting-started/README.md) |             Connetti il tuo dispositivo a Internet           | Scopri come connettere un dispositivo IoT a Internet per inviare e ricevere messaggi collegando la tua luce notturna a un broker MQTT                              |               [Connetti il tuo dispositivo a Internet](./1-getting-started/lessons/4-connect-internet/README.md)              |
-|  05   |            [Agricoltura](./2-farm/README.md)            |                    Prevedere la crescita delle piante         | Scopri come prevedere la crescita delle piante utilizzando i dati sulla temperatura raccolti da un dispositivo IoT                                                  |                          [Prevedere la crescita delle piante](./2-farm/lessons/1-predict-plant-growth/README.md)              |
-|  06   |            [Agricoltura](./2-farm/README.md)            |                    Rilevare l'umidità del suolo              | Scopri come rilevare l'umidità del suolo e calibrare un sensore di umidità del suolo                                                                                |                          [Rilevare l'umidità del suolo](./2-farm/lessons/2-detect-soil-moisture/README.md)                    |
-|  07   |            [Agricoltura](./2-farm/README.md)            |                  Irrigazione automatizzata delle piante       | Scopri come automatizzare e programmare l'irrigazione utilizzando un relè e MQTT                                                                                    |                      [Irrigazione automatizzata delle piante](./2-farm/lessons/3-automated-plant-watering/README.md)          |
-|  08   |            [Agricoltura](./2-farm/README.md)            |               Migrare la tua pianta al cloud                  | Scopri il cloud e i servizi IoT ospitati nel cloud e come connettere la tua pianta a uno di questi invece di un broker MQTT pubblico                                |               [Migrare la tua pianta al cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                 |
-|  09   |            [Agricoltura](./2-farm/README.md)            |         Migrare la logica della tua applicazione al cloud     | Scopri come scrivere logica applicativa nel cloud che risponde ai messaggi IoT                                                                                      |         [Migrare la logica della tua applicazione al cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)    |
-|  10   |            [Agricoltura](./2-farm/README.md)            |                   Proteggere la tua pianta                   | Scopri la sicurezza con l'IoT e come proteggere la tua pianta con chiavi e certificati                                                                              |                        [Proteggere la tua pianta](./2-farm/lessons/6-keep-your-plant-secure/README.md)                        |
-|  11   |       [Trasporti](./3-transport/README.md)       |                      Tracciamento della posizione            | Scopri il tracciamento della posizione GPS per dispositivi IoT                                                                                                      |                           [Tracciamento della posizione](./3-transport/lessons/1-location-tracking/README.md)                 |
-|  12   |       [Trasporti](./3-transport/README.md)       |                     Archiviare i dati di posizione            | Scopri come archiviare i dati IoT per visualizzarli o analizzarli in seguito                                                                                        |                         [Archiviare i dati di posizione](./3-transport/lessons/2-store-location-data/README.md)               |
-|  13   |       [Trasporti](./3-transport/README.md)       |                   Visualizzare i dati di posizione            | Scopri come visualizzare i dati di posizione su una mappa e come le mappe rappresentano il mondo reale tridimensionale in due dimensioni                            |                     [Visualizzare i dati di posizione](./3-transport/lessons/3-visualize-location-data/README.md)             |
-|  14   |       [Trasporti](./3-transport/README.md)       |                          Georecinzioni                        | Scopri le georecinzioni e come possono essere utilizzate per avvisare quando i veicoli nella catena di approvvigionamento sono vicini alla loro destinazione        |                                   [Georecinzioni](./3-transport/lessons/4-geofences/README.md)                                |
-|  15   |   [Produzione](./4-manufacturing/README.md)   |               Addestrare un rilevatore di qualità della frutta | Scopri come addestrare un classificatore di immagini nel cloud per rilevare la qualità della frutta                                                                 |                 [Addestrare un rilevatore di qualità della frutta](./4-manufacturing/lessons/1-train-fruit-detector/README.md) |
-|  16   |   [Produzione](./4-manufacturing/README.md)   |           Controllare la qualità della frutta da un dispositivo IoT | Scopri come utilizzare il rilevatore di qualità della frutta da un dispositivo IoT                                                                                 |           [Controllare la qualità della frutta da un dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
-|  17   |   [Produzione](./4-manufacturing/README.md)   |             Eseguire il rilevatore di frutta al margine       | Scopri come eseguire il rilevatore di frutta su un dispositivo IoT al margine                                                                                       |             [Eseguire il rilevatore di frutta al margine](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)      |
-|  18   |   [Produzione](./4-manufacturing/README.md)   |        Attivare il rilevamento della qualità della frutta da un sensore | Scopri come attivare il rilevamento della qualità della frutta da un sensore                                                                                        |        [Attivare il rilevamento della qualità della frutta da un sensore](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
-|  19   |          [Vendita al dettaglio](./5-retail/README.md)          |                   Addestrare un rilevatore di scorte          | Scopri come utilizzare il rilevamento degli oggetti per addestrare un rilevatore di scorte per contare le scorte in un negozio                                      |                        [Addestrare un rilevatore di scorte](./5-retail/lessons/1-train-stock-detector/README.md)              |
-|  20   |          [Vendita al dettaglio](./5-retail/README.md)          |               Controllare le scorte da un dispositivo IoT     | Scopri come controllare le scorte da un dispositivo IoT utilizzando un modello di rilevamento degli oggetti                                                        |                     [Controllare le scorte da un dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)          |
-|  21   |        [Consumatore](./6-consumer/README.md)        |             Riconoscere il parlato con un dispositivo IoT     | Scopri come riconoscere il parlato da un dispositivo IoT per costruire un timer intelligente                                                                        |                  [Riconoscere il parlato con un dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)         |
-|  22   |        [Consumatore](./6-consumer/README.md)        |                     Comprendere il linguaggio                 | Scopri come comprendere le frasi pronunciate a un dispositivo IoT                                                                                                   |                        [Comprendere il linguaggio](./6-consumer/lessons/2-language-understanding/README.md)                   |
-|  23   |        [Consumatore](./6-consumer/README.md)        |           Impostare un timer e fornire feedback vocale        | Scopri come impostare un timer su un dispositivo IoT e fornire feedback vocale su quando il timer è impostato e quando termina                                      |                 [Impostare un timer e fornire feedback vocale](./6-consumer/lessons/3-spoken-feedback/README.md)              |
-|  24   |        [Consumatore](./6-consumer/README.md)        |                 Supportare più lingue                        | Scopri come supportare più lingue, sia per essere ascoltate che per le risposte del tuo timer intelligente                                                          |                   [Supportare più lingue](./6-consumer/lessons/4-multiple-language-support/README.md)                         |
+| :---: | :-----------------------------------------: | :-----------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :-------------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Introduzione](./1-getting-started/README.md) |                     Introduzione all'IoT                     | Impara i principi di base dell'IoT e i componenti fondamentali delle soluzioni IoT come sensori e servizi cloud mentre configuri il tuo primo dispositivo IoT       |                      [Introduzione all'IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                       |
+|  02   | [Introduzione](./1-getting-started/README.md) |                   Un approfondimento sull'IoT                | Approfondisci i componenti di un sistema IoT, così come i microcontrollori e i computer a scheda singola                                                           |                        [Un approfondimento sull'IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                        |
+|  03   | [Introduzione](./1-getting-started/README.md) | Interagire con il mondo fisico con sensori e attuatori       | Scopri i sensori per raccogliere dati dal mondo fisico e gli attuatori per inviare feedback, mentre costruisci una luce notturna                                   | [Interagire con il mondo fisico con sensori e attuatori](./1-getting-started/lessons/3-sensors-and-actuators/README.md)         |
+|  04   | [Introduzione](./1-getting-started/README.md) |             Connetti il tuo dispositivo a Internet           | Scopri come connettere un dispositivo IoT a Internet per inviare e ricevere messaggi collegando la tua luce notturna a un broker MQTT                              |               [Connetti il tuo dispositivo a Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Fattoria](./2-farm/README.md)            |                    Prevedere la crescita delle piante         | Scopri come prevedere la crescita delle piante utilizzando i dati sulla temperatura raccolti da un dispositivo IoT                                                |                          [Prevedere la crescita delle piante](./2-farm/lessons/1-predict-plant-growth/README.md)                |
+|  06   |            [Fattoria](./2-farm/README.md)            |                    Rilevare l'umidità del suolo              | Scopri come rilevare l'umidità del suolo e calibrare un sensore di umidità del suolo                                                                               |                          [Rilevare l'umidità del suolo](./2-farm/lessons/2-detect-soil-moisture/README.md)                      |
+|  07   |            [Fattoria](./2-farm/README.md)            |                  Irrigazione automatizzata delle piante       | Scopri come automatizzare e temporizzare l'irrigazione utilizzando un relè e MQTT                                                                                  |                      [Irrigazione automatizzata delle piante](./2-farm/lessons/3-automated-plant-watering/README.md)            |
+|  08   |            [Fattoria](./2-farm/README.md)            |               Migrare la tua pianta al cloud                  | Scopri il cloud e i servizi IoT ospitati nel cloud e come collegare la tua pianta a uno di questi invece di un broker MQTT pubblico                                |               [Migrare la tua pianta al cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                   |
+|  09   |            [Fattoria](./2-farm/README.md)            |         Migrare la logica della tua applicazione al cloud     | Scopri come scrivere logiche applicative nel cloud che rispondono ai messaggi IoT                                                                                  |         [Migrare la logica della tua applicazione al cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)      |
+|  10   |            [Fattoria](./2-farm/README.md)            |                   Proteggere la tua pianta                   | Scopri la sicurezza con l'IoT e come proteggere la tua pianta con chiavi e certificati                                                                             |                        [Proteggere la tua pianta](./2-farm/lessons/6-keep-your-plant-secure/README.md)                          |
+|  11   |       [Trasporti](./3-transport/README.md)       |                      Tracciamento della posizione            | Scopri il tracciamento della posizione GPS per i dispositivi IoT                                                                                                   |                           [Tracciamento della posizione](./3-transport/lessons/1-location-tracking/README.md)                   |
+|  12   |       [Trasporti](./3-transport/README.md)       |                     Memorizzare i dati di posizione          | Scopri come memorizzare i dati IoT per visualizzarli o analizzarli in seguito                                                                                      |                         [Memorizzare i dati di posizione](./3-transport/lessons/2-store-location-data/README.md)                |
+|  13   |       [Trasporti](./3-transport/README.md)       |                   Visualizzare i dati di posizione           | Scopri come visualizzare i dati di posizione su una mappa e come le mappe rappresentano il mondo reale 3D in due dimensioni                                        |                     [Visualizzare i dati di posizione](./3-transport/lessons/3-visualize-location-data/README.md)               |
+|  14   |       [Trasporti](./3-transport/README.md)       |                          Georecinzioni                       | Scopri le georecinzioni e come possono essere utilizzate per avvisare quando i veicoli nella catena di approvvigionamento sono vicini alla loro destinazione       |                                   [Georecinzioni](./3-transport/lessons/4-geofences/README.md)                                  |
+|  15   |   [Produzione](./4-manufacturing/README.md)   |               Addestrare un rilevatore di qualità della frutta | Scopri come addestrare un classificatore di immagini nel cloud per rilevare la qualità della frutta                                                               |                 [Addestrare un rilevatore di qualità della frutta](./4-manufacturing/lessons/1-train-fruit-detector/README.md)  |
+|  16   |   [Produzione](./4-manufacturing/README.md)   |           Controllare la qualità della frutta da un dispositivo IoT | Scopri come utilizzare il tuo rilevatore di qualità della frutta da un dispositivo IoT                                                                            |           [Controllare la qualità della frutta da un dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
+|  17   |   [Produzione](./4-manufacturing/README.md)   |             Eseguire il rilevatore di frutta al margine      | Scopri come eseguire il tuo rilevatore di frutta su un dispositivo IoT al margine                                                                                  |             [Eseguire il rilevatore di frutta al margine](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)        |
+|  18   |   [Produzione](./4-manufacturing/README.md)   |        Attivare il rilevamento della qualità della frutta da un sensore | Scopri come attivare il rilevamento della qualità della frutta da un sensore                                                                                      |        [Attivare il rilevamento della qualità della frutta da un sensore](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
+|  19   |          [Vendita al dettaglio](./5-retail/README.md)          |                   Addestrare un rilevatore di scorte         | Scopri come utilizzare il rilevamento degli oggetti per addestrare un rilevatore di scorte per contare le scorte in un negozio                                     |                        [Addestrare un rilevatore di scorte](./5-retail/lessons/1-train-stock-detector/README.md)                |
+|  20   |          [Vendita al dettaglio](./5-retail/README.md)          |               Controllare le scorte da un dispositivo IoT    | Scopri come controllare le scorte da un dispositivo IoT utilizzando un modello di rilevamento degli oggetti                                                       |                     [Controllare le scorte da un dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)            |
+|  21   |        [Consumatore](./6-consumer/README.md)        |             Riconoscere il parlato con un dispositivo IoT    | Scopri come riconoscere il parlato da un dispositivo IoT per costruire un timer intelligente                                                                       |                  [Riconoscere il parlato con un dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)           |
+|  22   |        [Consumatore](./6-consumer/README.md)        |                     Comprendere il linguaggio                | Scopri come comprendere le frasi pronunciate a un dispositivo IoT                                                                                                  |                        [Comprendere il linguaggio](./6-consumer/lessons/2-language-understanding/README.md)                     |
+|  23   |        [Consumatore](./6-consumer/README.md)        |           Impostare un timer e fornire feedback vocale       | Scopri come impostare un timer su un dispositivo IoT e fornire feedback vocale su quando il timer è impostato e quando termina                                     |                 [Impostare un timer e fornire feedback vocale](./6-consumer/lessons/3-spoken-feedback/README.md)                |
+|  24   |        [Consumatore](./6-consumer/README.md)        |                 Supportare più lingue                       | Scopri come supportare più lingue, sia per essere ascoltate che per le risposte del tuo timer intelligente                                                         |                   [Supportare più lingue](./6-consumer/lessons/4-multiple-language-support/README.md)                           |
 
 ## Accesso offline
 
-Puoi eseguire questa documentazione offline utilizzando [Docsify](https://docsify.js.org/#/). Fai un fork di questo repository, [installa Docsify](https://docsify.js.org/#/quickstart) sulla tua macchina locale e poi nella cartella principale di questo repository, digita `docsify serve`. Il sito web sarà servito sulla porta 3000 del tuo localhost: `localhost:3000`.
+Puoi eseguire questa documentazione offline utilizzando [Docsify](https://docsify.js.org/#/). Fai un fork di questo repository, [installa Docsify](https://docsify.js.org/#/quickstart) sul tuo computer locale, e poi nella cartella principale di questo repository, digita `docsify serve`. Il sito web sarà servito sulla porta 3000 del tuo localhost: `localhost:3000`.
 
 ## Quiz
 
-Grazie alla community per aver ospitato il quiz interattivo che testa la tua conoscenza su ciascun capitolo. Puoi testare la tua conoscenza [qui](https://ff-quizzes.netlify.app/en/) 
+Grazie alla community per aver ospitato il quiz interattivo che testa le tue conoscenze su ciascuno dei capitoli. Puoi testare le tue conoscenze [qui](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Puoi generare un PDF di questo contenuto per l'accesso offline, se necessario. Per farlo, assicurati di avere [npm installato](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) e esegui i seguenti comandi nella cartella principale di questo repository:
+Puoi generare un PDF di questo contenuto per l'accesso offline, se necessario. Per farlo, assicurati di avere [npm installato](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ed esegui i seguenti comandi nella cartella principale di questo repository:
 
 ```sh
 npm i
@@ -146,49 +152,50 @@ npm run convert
 
 Ci sono presentazioni per alcune delle lezioni nella cartella [slides](../../slides).
 
+## Altri Corsi
 
-## Altri curricula
+Il nostro team produce altri corsi! Dai un'occhiata:
 
-Il nostro team produce altri curricula! Dai un'occhiata:
-
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
-### Azure / Edge / MCP / Agents
+### Azure / Edge / MCP / Agenti
 [![AZD per Principianti](https://img.shields.io/badge/AZD%20per%20Principianti-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI per Principianti](https://img.shields.io/badge/Edge%20AI%20per%20Principianti-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP per Principianti](https://img.shields.io/badge/MCP%20per%20Principianti-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Agenti AI per Principianti](https://img.shields.io/badge/Agenti%20AI%20per%20Principianti-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Serie AI Generativa
 [![AI Generativa per Principianti](https://img.shields.io/badge/AI%20Generativa%20per%20Principianti-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI Generativa (.NET)](https://img.shields.io/badge/AI%20Generativa%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![AI Generativa (Java)](https://img.shields.io/badge/AI%20Generativa%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![AI Generativa (JavaScript)](https://img.shields.io/badge/AI%20Generativa%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![AI Generativa (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Apprendimento Core
-[![ML per Principianti](https://img.shields.io/badge/ML%20per%20Principianti-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science per Principianti](https://img.shields.io/badge/Data%20Science%20per%20Principianti-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI per Principianti](https://img.shields.io/badge/AI%20per%20Principianti-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cybersecurity per Principianti](https://img.shields.io/badge/Cybersecurity%20per%20Principianti-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Sviluppo Web per Principianti](https://img.shields.io/badge/Sviluppo%20Web%20per%20Principianti-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT per Principianti](https://img.shields.io/badge/IoT%20per%20Principianti-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Sviluppo XR per Principianti](https://img.shields.io/badge/Sviluppo%20XR%20per%20Principianti-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Apprendimento Principale
+[![ML per Principianti](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science per Principianti](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI per Principianti](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersecurity per Principianti](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Sviluppo Web per Principianti](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT per Principianti](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Sviluppo XR per Principianti](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Serie Copilot  
-[![Copilot per Programmazione Assistita da AI](https://img.shields.io/badge/Copilot%20per%20Programmazione%20Assistita%20da%20AI-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot per C#/.NET](https://img.shields.io/badge/Copilot%20per%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Avventura Copilot](https://img.shields.io/badge/Avventura%20Copilot-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Serie Copilot
+[![Copilot per Programmazione AI in Coppia](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot per C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Avventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Attribuzioni immagini  
+## Attribuzioni delle immagini
 
-Puoi trovare tutte le attribuzioni per le immagini utilizzate in questo curriculum, dove richiesto, nella pagina [Attribuzioni](./attributions.md).  
+Puoi trovare tutte le attribuzioni per le immagini utilizzate in questo curriculum, dove richiesto, nella pagina [Attribuzioni](./attributions.md).
 
 ---
 
-**Disclaimer**:  
-Questo documento è stato tradotto utilizzando il servizio di traduzione AI [Co-op Translator](https://github.com/Azure/co-op-translator). Sebbene ci impegniamo per garantire l'accuratezza, si prega di notare che le traduzioni automatiche possono contenere errori o imprecisioni. Il documento originale nella sua lingua nativa dovrebbe essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale umana. Non siamo responsabili per eventuali incomprensioni o interpretazioni errate derivanti dall'uso di questa traduzione.
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer (Avvertenza)**:  
+Questo documento è stato tradotto utilizzando il servizio di traduzione automatica [Co-op Translator](https://github.com/Azure/co-op-translator). Sebbene ci impegniamo per garantire l'accuratezza, si prega di notare che le traduzioni automatiche possono contenere errori o imprecisioni. Il documento originale nella sua lingua nativa dovrebbe essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale umana. Non siamo responsabili per eventuali incomprensioni o interpretazioni errate derivanti dall'uso di questa traduzione.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ja/README.md b/translations/ja/README.md
index 6ca8b9f92..86dc621ef 100644
--- a/translations/ja/README.md
+++ b/translations/ja/README.md
@@ -1,51 +1,58 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:00:50+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:22:43+00:00",
   "source_file": "README.md",
   "language_code": "ja"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### Azure AI Foundryコミュニティに参加しよう
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-以下の手順でこれらのリソースを使い始めましょう：
-1. **リポジトリをフォークする**: [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)をクリック
-2. **リポジトリをクローンする**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discordに参加して、専門家や開発者仲間と交流しよう**](https://discord.com/invite/ByRwuEEgH4)
+AIアプリの構築で行き詰まったり、質問がある場合は、MCPに関するディスカッションに参加してください。同じ学習者や経験豊富な開発者と交流できる、質問が歓迎され、知識が自由に共有されるサポートコミュニティです。
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+製品に関するフィードバックや構築中のエラーについては以下を訪問してください：
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+以下の手順でこれらのリソースを利用し始めましょう：
+1. **リポジトリをフォークする**: [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork) をクリック
+2. **リポジトリをクローンする**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Microsoft Foundry Discordに参加して、専門家や他の開発者と交流する**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 多言語対応
 
 #### GitHub Actionによるサポート (自動化＆常に最新)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[アラビア語](../ar/README.md) | [ベンガル語](../bn/README.md) | [ブルガリア語](../bg/README.md) | [ビルマ語 (ミャンマー)](../my/README.md) | [中国語 (簡体字)](../zh/README.md) | [中国語 (繁体字、香港)](../hk/README.md) | [中国語 (繁体字、マカオ)](../mo/README.md) | [中国語 (繁体字、台湾)](../tw/README.md) | [クロアチア語](../hr/README.md) | [チェコ語](../cs/README.md) | [デンマーク語](../da/README.md) | [オランダ語](../nl/README.md) | [エストニア語](../et/README.md) | [フィンランド語](../fi/README.md) | [フランス語](../fr/README.md) | [ドイツ語](../de/README.md) | [ギリシャ語](../el/README.md) | [ヘブライ語](../he/README.md) | [ヒンディー語](../hi/README.md) | [ハンガリー語](../hu/README.md) | [インドネシア語](../id/README.md) | [イタリア語](../it/README.md) | [日本語](./README.md) | [韓国語](../ko/README.md) | [リトアニア語](../lt/README.md) | [マレー語](../ms/README.md) | [マラーティー語](../mr/README.md) | [ネパール語](../ne/README.md) | [ノルウェー語](../no/README.md) | [ペルシャ語 (ファルシー)](../fa/README.md) | [ポーランド語](../pl/README.md) | [ポルトガル語 (ブラジル)](../br/README.md) | [ポルトガル語 (ポルトガル)](../pt/README.md) | [パンジャブ語 (グルムキー)](../pa/README.md) | [ルーマニア語](../ro/README.md) | [ロシア語](../ru/README.md) | [セルビア語 (キリル文字)](../sr/README.md) | [スロバキア語](../sk/README.md) | [スロベニア語](../sl/README.md) | [スペイン語](../es/README.md) | [スワヒリ語](../sw/README.md) | [スウェーデン語](../sv/README.md) | [タガログ語 (フィリピン)](../tl/README.md) | [タミル語](../ta/README.md) | [タイ語](../th/README.md) | [トルコ語](../tr/README.md) | [ウクライナ語](../uk/README.md) | [ウルドゥー語](../ur/README.md) | [ベトナム語](../vi/README.md)
+[アラビア語](../ar/README.md) | [ベンガル語](../bn/README.md) | [ブルガリア語](../bg/README.md) | [ビルマ語 (ミャンマー)](../my/README.md) | [中国語 (簡体字)](../zh/README.md) | [中国語 (繁体字、香港)](../hk/README.md) | [中国語 (繁体字、マカオ)](../mo/README.md) | [中国語 (繁体字、台湾)](../tw/README.md) | [クロアチア語](../hr/README.md) | [チェコ語](../cs/README.md) | [デンマーク語](../da/README.md) | [オランダ語](../nl/README.md) | [エストニア語](../et/README.md) | [フィンランド語](../fi/README.md) | [フランス語](../fr/README.md) | [ドイツ語](../de/README.md) | [ギリシャ語](../el/README.md) | [ヘブライ語](../he/README.md) | [ヒンディー語](../hi/README.md) | [ハンガリー語](../hu/README.md) | [インドネシア語](../id/README.md) | [イタリア語](../it/README.md) | [日本語](./README.md) | [韓国語](../ko/README.md) | [リトアニア語](../lt/README.md) | [マレー語](../ms/README.md) | [マラーティー語](../mr/README.md) | [ネパール語](../ne/README.md) | [ナイジェリア・ピジン語](../pcm/README.md) | [ノルウェー語](../no/README.md) | [ペルシャ語 (ファルシ)](../fa/README.md) | [ポーランド語](../pl/README.md) | [ポルトガル語 (ブラジル)](../br/README.md) | [ポルトガル語 (ポルトガル)](../pt/README.md) | [パンジャブ語 (グルムキー)](../pa/README.md) | [ルーマニア語](../ro/README.md) | [ロシア語](../ru/README.md) | [セルビア語 (キリル文字)](../sr/README.md) | [スロバキア語](../sk/README.md) | [スロベニア語](../sl/README.md) | [スペイン語](../es/README.md) | [スワヒリ語](../sw/README.md) | [スウェーデン語](../sv/README.md) | [タガログ語 (フィリピン)](../tl/README.md) | [タミル語](../ta/README.md) | [タイ語](../th/README.md) | [トルコ語](../tr/README.md) | [ウクライナ語](../uk/README.md) | [ウルドゥー語](../ur/README.md) | [ベトナム語](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT for Beginners - カリキュラム
 
-MicrosoftのAzure Cloud Advocatesは、IoTの基礎について学べる12週間、24レッスンのカリキュラムを提供しています。各レッスンには、事前・事後のクイズ、レッスンを完了するための書面による指示、解答例、課題などが含まれています。プロジェクトベースの教育法により、実際に作りながら学ぶことで、新しいスキルを定着させることができます。
+MicrosoftのAzure Cloud Advocatesは、IoTの基本について学べる12週間、24レッスンのカリキュラムを提供しています。各レッスンには、事前・事後のクイズ、レッスンを完了するための書面による指示、解答、課題などが含まれています。プロジェクトベースの学習法により、構築しながら学ぶことができ、新しいスキルを定着させる効果的な方法です。
 
-プロジェクトでは、農場から食卓までの食品の旅をカバーします。これには、農業、物流、製造、小売、消費者といったIoTデバイスが活用される人気の業界分野が含まれます。
+プロジェクトは、農場から食卓までの食品の旅をテーマにしています。これには農業、物流、製造、小売、消費者が含まれ、IoTデバイスが活用される人気のある業界分野です。
 
-![コースのロードマップ。イントロ、農業、輸送、加工、小売、料理をカバーする24のレッスン](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ja.jpg)
+![コースのロードマップ。イントロ、農業、輸送、加工、小売、料理を含む24のレッスン](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ja.jpg)
 
 > スケッチノート作成者：[Nitya Narasimhan](https://github.com/nitya)。画像をクリックすると拡大版が表示されます。
 
-**著者の[Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett)、そしてスケッチノートアーティストの[Nitya Narasimhan](https://github.com/nitya)に心から感謝します。**
+**著者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett)、スケッチノートアーティスト [Nitya Narasimhan](https://github.com/nitya) に心から感謝します。**
 
-**また、このカリキュラムをレビューし翻訳してくれた[Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)のチームにも感謝します - [Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、そして[Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
+**また、このカリキュラムをレビューし翻訳してくれた [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) のチームにも感謝します - [Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、[Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
 
 チームを紹介します！
 
@@ -53,89 +60,88 @@ MicrosoftのAzure Cloud Advocatesは、IoTの基礎について学べる12週間
 
 **Gif作成者** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
 
-> 🎥 上の画像をクリックしてプロジェクトの動画をご覧ください！
+> 🎥 上の画像をクリックするとプロジェクトの動画が表示されます！
 
-> **教師の皆様**、このカリキュラムの使用方法について[いくつかの提案](for-teachers.md)を含めています。独自のレッスンを作成したい場合は、[レッスンテンプレート](lesson-template/README.md)も含めています。
+> **教師の皆さん**、このカリキュラムの使用方法について[いくつかの提案](for-teachers.md)を含めています。独自のレッスンを作成したい場合は、[レッスンテンプレート](lesson-template/README.md)も含めています。
 
-> **[学生の皆様](https://aka.ms/student-page)**、このカリキュラムを個人で使用するには、リポジトリ全体をフォークし、事前クイズから始めて講義を読み、その他の活動を完了してください。解答コードをコピーするのではなく、レッスンを理解しながらプロジェクトを作成することを目指してください。ただし、解答コードは各プロジェクト指向のレッスンの/solutionsフォルダーにあります。また、友達と勉強グループを作り、一緒に内容を進めるのも良いアイデアです。さらに学びたい場合は、[Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)をお勧めします。
+> **[学生の皆さん](https://aka.ms/student-page)**、このカリキュラムを個人で使用するには、リポジトリ全体をフォークし、事前クイズから始めてレクチャーを読み、その他の活動を完了してください。解答コードをコピーするのではなく、レッスンを理解しながらプロジェクトを作成することを目指してください。ただし、解答コードは各プロジェクト指向のレッスンの/solutionsフォルダーにあります。別のアイデアとしては、友達と勉強グループを作り、一緒にコンテンツを進めることもできます。さらに学習を進めるには、[Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)をお勧めします。
 
 このコースの概要動画はこちらをご覧ください：
 
 [![プロモーション動画](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "プロモーション動画")
 
-> 🎥 上の画像をクリックしてプロジェクトの動画をご覧ください！
+> 🎥 上の画像をクリックするとプロジェクトの動画が表示されます！
 
 ## 教育法
 
-このカリキュラムを構築する際に、プロジェクトベースであることと頻繁なクイズを含むことの2つの教育的原則を選びました。このシリーズの終わりまでに、学生は植物の監視と灌水システム、車両追跡装置、食品を追跡・検査するスマート工場セットアップ、音声制御の料理タイマーを構築し、IoTの基本を学びます。これには、デバイスコードの記述、クラウドへの接続、テレメトリの分析、エッジでのAIの実行が含まれます。
+このカリキュラムを構築する際に、プロジェクトベースであることと頻繁なクイズを含むことの2つの教育的原則を選びました。このシリーズの終わりまでに、学生は植物の監視と水やりシステム、車両追跡装置、食品を追跡・検査するスマート工場セットアップ、音声制御の料理タイマーを構築し、IoTの基本を学びます。これにはデバイスコードの記述、クラウドへの接続、テレメトリの分析、エッジでのAI実行が含まれます。
 
-プロジェクトに合わせてコンテンツを調整することで、学生にとってより魅力的なプロセスとなり、概念の定着が促進されます。
+プロジェクトに合わせてコンテンツを整えることで、学生にとってより魅力的なプロセスとなり、概念の定着が促進されます。
 
-さらに、授業前の低リスクなクイズは、学生がトピックを学ぶ意図を設定し、授業後のクイズはさらに定着を促します。このカリキュラムは柔軟で楽しいものとして設計されており、全体または部分的に受講することができます。プロジェクトは小さなものから始まり、12週間のサイクルの終わりには徐々に複雑になります。
+さらに、授業前の低リスクなクイズは、学生がトピックを学ぶ意図を設定し、授業後のクイズはさらに定着を促します。このカリキュラムは柔軟で楽しいものとして設計されており、全体または部分的に受講することができます。プロジェクトは小さなものから始まり、12週間のサイクルの終わりまでに徐々に複雑になります。
 
-各プロジェクトは、学生やホビイストが利用できる実際のハードウェアを基にしています。各プロジェクトは特定のプロジェクトドメインを調査し、関連する背景知識を提供します。成功する開発者になるためには、問題を解決するドメインを理解することが役立ちます。この背景知識を提供することで、学生はIoTソリューションや学びを、IoT開発者として求められる可能性のある実際の問題の文脈で考えることができます。学生は構築しているソリューションの「なぜ」を学び、エンドユーザーへの理解を深めます。
+各プロジェクトは、学生やホビイストが利用できる実際のハードウェアを基にしています。各プロジェクトは特定のプロジェクト領域を掘り下げ、関連する背景知識を提供します。成功する開発者になるためには、問題を解決する領域を理解することが役立ちます。この背景知識を提供することで、学生はIoTソリューションや学習内容を、IoT開発者として解決する可能性のある現実世界の問題の文脈で考えることができます。学生は構築しているソリューションの「なぜ」を学び、エンドユーザーへの理解を深めます。
 
 ## ハードウェア
 
-プロジェクトで使用するIoTハードウェアには、個人の好み、プログラミング言語の知識や好み、学習目標、利用可能性に応じて2つの選択肢があります。また、ハードウェアにアクセスできない場合や購入を決定する前にもっと学びたい場合のために、「仮想ハードウェア」バージョンも提供しています。[ハードウェアページ](./hardware.md)で詳細を確認し、Seeed Studioの友人たちが提供する完全なキットを購入するリンクを見つけてください。
+プロジェクトで使用するIoTハードウェアには、個人の好み、プログラミング言語の知識や好み、学習目標、利用可能性に応じて2つの選択肢があります。また、ハードウェアにアクセスできない場合や購入を決定する前にもっと学びたい場合のために、「仮想ハードウェア」バージョンも提供しています。[ハードウェアページ](./hardware.md)で詳細を確認し、Seeed Studioの友人たちから完全なキットを購入するリンクを見つけてください。
 
-> 💁 [行動規範](CODE_OF_CONDUCT.md)、[貢献](CONTRIBUTING.md)、および[翻訳](TRANSLATIONS.md)ガイドラインをご覧ください。建設的なフィードバックを歓迎します！
+> 💁 [行動規範](CODE_OF_CONDUCT.md)、[貢献](CONTRIBUTING.md)、[翻訳](TRANSLATIONS.md)ガイドラインをご覧ください。建設的なフィードバックを歓迎します！
 
 ## 各レッスンには以下が含まれます：
 
-- スケッチノート
-- オプションの補足動画
-- レッスン前のウォームアップクイズ
-- 書面によるレッスン
-- プロジェクトベースのレッスンの場合、プロジェクトの構築方法に関するステップバイステップガイド
-- 知識チェック
-- チャレンジ
-- 補足読書
-- 課題
-- [レッスン後のクイズ](https://ff-quizzes.netlify.app/en/)
-
-> **クイズについての注意**: すべてのクイズはquiz-appフォルダーに含まれており、合計48のクイズが各3問ずつあります。レッスン内からリンクされていますが、クイズアプリはローカルで実行するかAzureにデプロイすることができます。`quiz-app`フォルダーの指示に従ってください。クイズは徐々にローカライズされています。
+- スケッチノート  
+- オプションの補足動画  
+- レッスン前のウォームアップクイズ  
+- 書面によるレッスン  
+- プロジェクトベースのレッスンの場合、プロジェクトの構築方法に関するステップバイステップガイド  
+- 知識チェック  
+- チャレンジ  
+- 補足読書  
+- 課題  
+- [レッスン後のクイズ](https://ff-quizzes.netlify.app/en/)  
+> **クイズについての注意**: すべてのクイズはquiz-appフォルダーに含まれており、合計48個のクイズがあり、それぞれ3つの質問で構成されています。これらはレッスン内からリンクされていますが、クイズアプリはローカルで実行することもAzureにデプロイすることも可能です。詳細は`quiz-app`フォルダーの指示に従ってください。クイズは徐々にローカライズされています。
 
 ## レッスン
 
 |       |              プロジェクト名              |                       教えられる概念                       | 学習目標                                                                                                                                                 |                                                        リンクされたレッスン                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [はじめに](./1-getting-started/README.md) |                     IoTの概要                     | IoTの基本原則やセンサー、クラウドサービスなどのIoTソリューションの基本構成要素を学びながら、最初のIoTデバイスをセットアップします |                      [IoTの概要](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [はじめに](./1-getting-started/README.md) |                   IoTの詳細な理解                    | IoTシステムの構成要素、マイクロコントローラー、シングルボードコンピューターについてさらに学びます                                                            |                        [IoTの詳細な理解](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [はじめに](./1-getting-started/README.md) | センサーとアクチュエーターで物理世界と対話する | 物理世界からデータを収集するセンサーやフィードバックを送るアクチュエーターについて学びながら、ナイトライトを作ります                                           | [センサーとアクチュエーターで物理世界と対話する](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  02   | [はじめに](./1-getting-started/README.md) |                   IoTの深掘り                    | IoTシステムの構成要素、マイクロコントローラー、シングルボードコンピューターについてさらに学びます                                                            |                        [IoTの深掘り](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [はじめに](./1-getting-started/README.md) | センサーとアクチュエーターで物理世界と対話する | 物理世界からデータを収集するセンサーやフィードバックを送るアクチュエーターについて学び、ナイトライトを作成します                                           | [センサーとアクチュエーターで物理世界と対話する](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
 |  04   | [はじめに](./1-getting-started/README.md) |             デバイスをインターネットに接続する             | IoTデバイスをインターネットに接続してメッセージを送受信する方法を学び、ナイトライトをMQTTブローカーに接続します                               |               [デバイスをインターネットに接続する](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [農業](./2-farm/README.md)            |                    植物の成長を予測する                     | IoTデバイスで取得した温度データを使って植物の成長を予測する方法を学びます                                                                                  |                          [植物の成長を予測する](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [農業](./2-farm/README.md)            |                    土壌の湿度を検知する                     | 土壌湿度を検知し、土壌湿度センサーをキャリブレーションする方法を学びます                                                                                              |                          [土壌の湿度を検知する](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [農業](./2-farm/README.md)            |                  自動植物灌水                   | リレーとMQTTを使用して灌水を自動化し、タイミングを設定する方法を学びます                                                                                                      |                      [自動植物灌水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  05   |            [農業](./2-farm/README.md)            |                    植物の成長を予測する                     | IoTデバイスで取得した温度データを使用して植物の成長を予測する方法を学びます                                                                                  |                          [植物の成長を予測する](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [農業](./2-farm/README.md)            |                    土壌水分を検出する                     | 土壌水分を検出し、土壌水分センサーをキャリブレーションする方法を学びます                                                                                              |                          [土壌水分を検出する](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [農業](./2-farm/README.md)            |                  植物の自動給水                   | リレーとMQTTを使用して給水を自動化し、タイミングを設定する方法を学びます                                                                                                      |                      [植物の自動給水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
 |  08   |            [農業](./2-farm/README.md)            |               植物をクラウドに移行する               | クラウドやクラウドホスト型IoTサービスについて学び、植物をパブリックMQTTブローカーではなくこれらに接続する方法を学びます                                   |               [植物をクラウドに移行する](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [農業](./2-farm/README.md)            |         アプリケーションロジックをクラウドに移行する         | IoTメッセージに応答するクラウド内のアプリケーションロジックを記述する方法を学びます                                                                          |         [アプリケーションロジックをクラウドに移行する](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [農業](./2-farm/README.md)            |                   植物を安全に保つ                    | IoTのセキュリティについて学び、鍵や証明書を使って植物を安全に保つ方法を学びます                                                                          |                        [植物を安全に保つ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  09   |            [農業](./2-farm/README.md)            |         アプリケーションロジックをクラウドに移行する         | IoTメッセージに応答するクラウド上のアプリケーションロジックを記述する方法を学びます                                                                          |         [アプリケーションロジックをクラウドに移行する](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [農業](./2-farm/README.md)            |                   植物を安全に保つ                    | IoTのセキュリティと、鍵や証明書を使用して植物を安全に保つ方法を学びます                                                                          |                        [植物を安全に保つ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [輸送](./3-transport/README.md)       |                      位置追跡                      | IoTデバイスのGPS位置追跡について学びます                                                                                                                   |                           [位置追跡](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [輸送](./3-transport/README.md)       |                     位置データを保存する                     | IoTデータを保存して後で可視化や分析する方法を学びます                                                                                                      |                         [位置データを保存する](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [輸送](./3-transport/README.md)       |                   位置データを可視化する                   | 地図上で位置データを可視化する方法や、地図が3Dの現実世界を2次元で表現する仕組みについて学びます                                                            |                     [位置データを可視化する](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [輸送](./3-transport/README.md)       |                          ジオフェンス                          | ジオフェンスについて学び、サプライチェーンの車両が目的地に近づいた際にアラートを出す方法を学びます                                           |                                   [ジオフェンス](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [製造](./4-manufacturing/README.md)   |               果物品質検出器をトレーニングする                | クラウドで画像分類器をトレーニングして果物の品質を検出する方法を学びます                                                                                       |                 [果物品質検出器をトレーニングする](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [製造](./4-manufacturing/README.md)   |           IoTデバイスで果物の品質を確認する            | IoTデバイスで果物品質検出器を使用する方法を学びます                                                                                                    |           [IoTデバイスで果物の品質を確認する](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [製造](./4-manufacturing/README.md)   |             果物検出器をエッジで実行する             | IoTデバイスで果物検出器をエッジで実行する方法を学びます                                                                                                |             [果物検出器をエッジで実行する](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  12   |       [輸送](./3-transport/README.md)       |                     位置データを保存する                     | IoTデータを保存し、後で可視化や分析を行う方法を学びます                                                                                                      |                         [位置データを保存する](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [輸送](./3-transport/README.md)       |                   位置データを可視化する                   | 地図上で位置データを可視化する方法や、地図が3次元の現実世界を2次元で表現する仕組みを学びます                                                            |                     [位置データを可視化する](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [輸送](./3-transport/README.md)       |                          ジオフェンス                          | ジオフェンスについて学び、サプライチェーン内の車両が目的地に近づいた際にアラートを出す方法を学びます                                           |                                   [ジオフェンス](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [製造](./4-manufacturing/README.md)   |               果物の品質検出器をトレーニングする                | クラウドで画像分類器をトレーニングして果物の品質を検出する方法を学びます                                                                                       |                 [果物の品質検出器をトレーニングする](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [製造](./4-manufacturing/README.md)   |           IoTデバイスから果物の品質を確認する            | IoTデバイスから果物の品質検出器を使用する方法を学びます                                                                                                    |           [IoTデバイスから果物の品質を確認する](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [製造](./4-manufacturing/README.md)   |             エッジで果物検出器を実行する             | エッジ上のIoTデバイスで果物検出器を実行する方法を学びます                                                                                                |             [エッジで果物検出器を実行する](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [製造](./4-manufacturing/README.md)   |        センサーから果物品質検出をトリガーする        | センサーから果物品質検出をトリガーする方法を学びます                                                                                                        |        [センサーから果物品質検出をトリガーする](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [小売](./5-retail/README.md)          |                   在庫検出器をトレーニングする                    | オブジェクト検出を使用して在庫をカウントする在庫検出器をトレーニングする方法を学びます                                                                                |                        [在庫検出器をトレーニングする](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [小売](./5-retail/README.md)          |               IoTデバイスで在庫を確認する                | オブジェクト検出モデルを使用してIoTデバイスで在庫を確認する方法を学びます                                                                                         |                     [IoTデバイスで在庫を確認する](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [消費者](./6-consumer/README.md)        |             IoTデバイスで音声を認識する             | IoTデバイスで音声を認識してスマートタイマーを構築する方法を学びます                                                                                             |                  [IoTデバイスで音声を認識する](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  19   |          [小売](./5-retail/README.md)          |                   在庫検出器をトレーニングする                    | オブジェクト検出を使用して在庫検出器をトレーニングし、店舗内の在庫をカウントする方法を学びます                                                                                |                        [在庫検出器をトレーニングする](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [小売](./5-retail/README.md)          |               IoTデバイスから在庫を確認する                | オブジェクト検出モデルを使用してIoTデバイスから在庫を確認する方法を学びます                                                                                         |                     [IoTデバイスから在庫を確認する](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [消費者](./6-consumer/README.md)        |             IoTデバイスで音声を認識する             | IoTデバイスで音声を認識し、スマートタイマーを構築する方法を学びます                                                                                             |                  [IoTデバイスで音声を認識する](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [消費者](./6-consumer/README.md)        |                     言語を理解する                     | IoTデバイスに話しかけられた文章を理解する方法を学びます                                                                                                           |                        [言語を理解する](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [消費者](./6-consumer/README.md)        |           タイマーを設定し音声フィードバックを提供する           | IoTデバイスでタイマーを設定し、タイマーが設定された時や終了した時に音声フィードバックを提供する方法を学びます                                                    |                 [タイマーを設定し音声フィードバックを提供する](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [消費者](./6-consumer/README.md)        |                 複数言語をサポートする                  | スマートタイマーに話しかける言語や応答する言語を複数サポートする方法を学びます                                                               |                   [複数言語をサポートする](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  24   |        [消費者](./6-consumer/README.md)        |                 複数言語をサポートする                  | 話しかけられる言語やスマートタイマーの応答を複数言語でサポートする方法を学びます                                                               |                   [複数言語をサポートする](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## オフラインアクセス
 
-[Docsify](https://docsify.js.org/#/)を使用して、このドキュメントをオフラインで実行することができます。このリポジトリをフォークし、[Docsifyをインストール](https://docsify.js.org/#/quickstart)してローカルマシンにインストールした後、このリポジトリのルートフォルダで`docsify serve`と入力してください。ウェブサイトはローカルホストのポート3000で提供されます: `localhost:3000`。
+このドキュメントは[Docsify](https://docsify.js.org/#/)を使用してオフラインで実行できます。このリポジトリをフォークし、[Docsifyをインストール](https://docsify.js.org/#/quickstart)してから、このリポジトリのルートフォルダーで`docsify serve`と入力してください。ウェブサイトはローカルホストのポート3000で提供されます: `localhost:3000`。
 
 ## クイズ
 
-各章の知識をテストするインタラクティブなクイズをコミュニティがホストしてくれています。あなたの知識を[こちら](https://ff-quizzes.netlify.app/en/)でテストしてください。
+各章の知識をテストするインタラクティブなクイズをコミュニティがホストしてくれています。知識を[こちら](https://ff-quizzes.netlify.app/en/)でテストできます。
 
 ### PDF
 
-必要に応じて、このコンテンツのPDFを生成してオフラインでアクセスすることができます。そのためには、[npmをインストール](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)し、このリポジトリのルートフォルダで以下のコマンドを実行してください:
+必要に応じて、このコンテンツのPDFを生成してオフラインでアクセスできます。これを行うには、[npmをインストール](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)し、このリポジトリのルートフォルダーで以下のコマンドを実行してください:
 
 ```sh
 npm i
@@ -144,30 +150,29 @@ npm run convert
 
 ### スライド
 
-いくつかのレッスンには[slides](../../slides)フォルダにスライドデッキがあります。
+いくつかのレッスンには[slides](../../slides)フォルダーにスライドデッキがあります。
 
 ## その他のカリキュラム
 
 私たちのチームは他のカリキュラムも制作しています！ぜひチェックしてください:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
-### Azure / Edge / MCP / Agents
+### Azure / Edge / MCP / エージェント
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generative AI Series
+
+### 生成AIシリーズ
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![生成AI（JavaScript）](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Core Learning
+
+### 基本学習
 [![初心者向け機械学習](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
 [![初心者向けデータサイエンス](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
 [![初心者向けAI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
@@ -178,16 +183,19 @@ npm run convert
 
 ---
 
-### Copilotシリーズ  
-[![AIペアプログラミング向けCopilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![C#/.NET向けCopilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+### Copilotシリーズ
+[![AIペアプログラミングのためのCopilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![C#/.NETのためのCopilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
 [![Copilotアドベンチャー](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## 画像の著作権表示  
+## 画像の帰属
 
-このカリキュラムで使用されている画像の著作権表示は、必要に応じて[Attributions](./attributions.md)で確認できます。
+このカリキュラムで使用されている画像の帰属情報は、必要に応じて[帰属情報](./attributions.md)で確認できます。
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **免責事項**:  
-この文書はAI翻訳サービス[Co-op Translator](https://github.com/Azure/co-op-translator)を使用して翻訳されています。正確性を追求しておりますが、自動翻訳には誤りや不正確な部分が含まれる可能性があります。元の言語で記載された文書を正式な情報源としてご参照ください。重要な情報については、専門の人間による翻訳を推奨します。この翻訳の使用に起因する誤解や誤認について、当社は責任を負いません。
\ No newline at end of file
+この文書は、AI翻訳サービス[Co-op Translator](https://github.com/Azure/co-op-translator)を使用して翻訳されています。正確性を期すよう努めておりますが、自動翻訳には誤りや不正確な部分が含まれる可能性があります。原文（元の言語で記載された文書）を公式な情報源としてご参照ください。重要な情報については、専門の人間による翻訳をお勧めします。本翻訳の使用に起因する誤解や誤認について、当方は一切の責任を負いかねます。
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ko/README.md b/translations/ko/README.md
index f1c5b1b76..d3f55ac1b 100644
--- a/translations/ko/README.md
+++ b/translations/ko/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:01:40+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:24:13+00:00",
   "source_file": "README.md",
   "language_code": "ko"
 }
@@ -18,30 +18,37 @@ CO_OP_TRANSLATOR_METADATA:
 [![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### Azure AI Foundry 커뮤니티에 참여하세요
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-이 리소스를 사용하기 위해 다음 단계를 따라 시작하세요:
+AI 앱을 개발하다가 막히거나 질문이 있다면, MCP에 대해 논의하는 학습자와 경험 많은 개발자들과 함께하세요. 질문을 환영하고 지식을 자유롭게 공유하는 지원적인 커뮤니티입니다.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+제품 피드백이나 개발 중 오류가 있다면 다음을 방문하세요:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+이 리소스를 사용하려면 다음 단계를 따르세요:
 1. **저장소 포크하기**: 클릭 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **저장소 클론하기**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord에 참여하여 전문가 및 다른 개발자들과 만나보세요**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Microsoft Foundry Discord에 참여하여 전문가와 다른 개발자들을 만나보세요**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 다국어 지원
 
-#### GitHub Action을 통해 지원 (자동화 및 항상 최신 상태 유지)
+#### GitHub Action을 통해 지원 (자동화 및 항상 최신 상태)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[아랍어](../ar/README.md) | [벵골어](../bn/README.md) | [불가리아어](../bg/README.md) | [버마어 (미얀마)](../my/README.md) | [중국어 (간체)](../zh/README.md) | [중국어 (번체, 홍콩)](../hk/README.md) | [중국어 (번체, 마카오)](../mo/README.md) | [중국어 (번체, 대만)](../tw/README.md) | [크로아티아어](../hr/README.md) | [체코어](../cs/README.md) | [덴마크어](../da/README.md) | [네덜란드어](../nl/README.md) | [에스토니아어](../et/README.md) | [핀란드어](../fi/README.md) | [프랑스어](../fr/README.md) | [독일어](../de/README.md) | [그리스어](../el/README.md) | [히브리어](../he/README.md) | [힌디어](../hi/README.md) | [헝가리어](../hu/README.md) | [인도네시아어](../id/README.md) | [이탈리아어](../it/README.md) | [일본어](../ja/README.md) | [한국어](./README.md) | [리투아니아어](../lt/README.md) | [말레이어](../ms/README.md) | [마라티어](../mr/README.md) | [네팔어](../ne/README.md) | [노르웨이어](../no/README.md) | [페르시아어 (파르시)](../fa/README.md) | [폴란드어](../pl/README.md) | [포르투갈어 (브라질)](../br/README.md) | [포르투갈어 (포르투갈)](../pt/README.md) | [펀자브어 (구르무키)](../pa/README.md) | [루마니아어](../ro/README.md) | [러시아어](../ru/README.md) | [세르비아어 (키릴)](../sr/README.md) | [슬로바키아어](../sk/README.md) | [슬로베니아어](../sl/README.md) | [스페인어](../es/README.md) | [스와힐리어](../sw/README.md) | [스웨덴어](../sv/README.md) | [타갈로그어 (필리핀)](../tl/README.md) | [타밀어](../ta/README.md) | [태국어](../th/README.md) | [터키어](../tr/README.md) | [우크라이나어](../uk/README.md) | [우르두어](../ur/README.md) | [베트남어](../vi/README.md)
+[아랍어](../ar/README.md) | [벵골어](../bn/README.md) | [불가리아어](../bg/README.md) | [버마어 (미얀마)](../my/README.md) | [중국어 (간체)](../zh/README.md) | [중국어 (번체, 홍콩)](../hk/README.md) | [중국어 (번체, 마카오)](../mo/README.md) | [중국어 (번체, 대만)](../tw/README.md) | [크로아티아어](../hr/README.md) | [체코어](../cs/README.md) | [덴마크어](../da/README.md) | [네덜란드어](../nl/README.md) | [에스토니아어](../et/README.md) | [핀란드어](../fi/README.md) | [프랑스어](../fr/README.md) | [독일어](../de/README.md) | [그리스어](../el/README.md) | [히브리어](../he/README.md) | [힌디어](../hi/README.md) | [헝가리어](../hu/README.md) | [인도네시아어](../id/README.md) | [이탈리아어](../it/README.md) | [일본어](../ja/README.md) | [한국어](./README.md) | [리투아니아어](../lt/README.md) | [말레이어](../ms/README.md) | [마라티어](../mr/README.md) | [네팔어](../ne/README.md) | [나이지리아 피진어](../pcm/README.md) | [노르웨이어](../no/README.md) | [페르시아어 (파르시)](../fa/README.md) | [폴란드어](../pl/README.md) | [포르투갈어 (브라질)](../br/README.md) | [포르투갈어 (포르투갈)](../pt/README.md) | [펀자브어 (구르무키)](../pa/README.md) | [루마니아어](../ro/README.md) | [러시아어](../ru/README.md) | [세르비아어 (키릴)](../sr/README.md) | [슬로바키아어](../sk/README.md) | [슬로베니아어](../sl/README.md) | [스페인어](../es/README.md) | [스와힐리어](../sw/README.md) | [스웨덴어](../sv/README.md) | [타갈로그어 (필리핀어)](../tl/README.md) | [타밀어](../ta/README.md) | [태국어](../th/README.md) | [터키어](../tr/README.md) | [우크라이나어](../uk/README.md) | [우르두어](../ur/README.md) | [베트남어](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT for Beginners - 커리큘럼
 
-Microsoft의 Azure Cloud Advocates는 IoT 기초에 관한 12주, 24강의 커리큘럼을 제공합니다. 각 강의는 강의 전후 퀴즈, 강의 완료를 위한 작성 지침, 솔루션, 과제 등을 포함합니다. 프로젝트 기반 학습 방법을 통해 새로운 기술을 배우는 효과적인 방법을 제공합니다.
+Microsoft의 Azure Cloud Advocates는 IoT 기본 사항에 대한 12주, 24강의 커리큘럼을 제공합니다. 각 강의에는 강의 전후 퀴즈, 강의를 완료하기 위한 작성 지침, 솔루션, 과제 등이 포함되어 있습니다. 프로젝트 기반 학습 방법을 통해 새로운 기술을 효과적으로 익힐 수 있습니다.
 
-이 프로젝트는 농장에서 식탁까지의 식품 여정을 다룹니다. 여기에는 농업, 물류, 제조, 소매 및 소비자가 포함되며, 이는 IoT 기기가 널리 사용되는 산업 분야입니다.
+프로젝트는 농장에서 식탁까지의 음식 여정을 다룹니다. 여기에는 농업, 물류, 제조, 소매 및 소비자가 포함되며, 이는 IoT 기기가 널리 사용되는 산업 분야입니다.
 
-![코스 로드맵: 소개, 농업, 운송, 가공, 소매 및 요리를 다루는 24개의 강의](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ko.jpg)
+![24개의 강의로 구성된 코스 로드맵: 소개, 농업, 운송, 가공, 소매 및 요리](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ko.jpg)
 
-> [Nitya Narasimhan](https://github.com/nitya)의 스케치노트입니다. 이미지를 클릭하면 더 큰 버전을 볼 수 있습니다.
+> 스케치노트: [Nitya Narasimhan](https://github.com/nitya). 이미지를 클릭하면 더 큰 버전을 볼 수 있습니다.
 
 **저자 [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), 그리고 스케치노트 아티스트 [Nitya Narasimhan](https://github.com/nitya)에게 깊은 감사를 드립니다.**
 
@@ -55,11 +62,11 @@ Microsoft의 Azure Cloud Advocates는 IoT 기초에 관한 12주, 24강의 커
 
 > 🎥 위 이미지를 클릭하면 프로젝트에 대한 영상을 볼 수 있습니다!
 
-> **교사 여러분**, 이 커리큘럼을 사용하는 방법에 대한 [제안](for-teachers.md)을 포함했습니다. 자신만의 강의를 만들고 싶다면 [강의 템플릿](lesson-template/README.md)도 포함되어 있습니다.
+> **교사분들**, 이 커리큘럼을 활용하는 방법에 대한 [제안](for-teachers.md)을 포함했습니다. 직접 강의를 만들고 싶다면 [강의 템플릿](lesson-template/README.md)도 포함되어 있습니다.
 
-> **[학생 여러분](https://aka.ms/student-page)**, 이 커리큘럼을 혼자 사용하려면 전체 저장소를 포크하고 강의를 시작하기 전에 퀴즈를 풀고 강의를 읽은 후 나머지 활동을 완료하세요. 강의를 이해하며 프로젝트를 만들어보세요. 솔루션 코드는 각 프로젝트 기반 강의의 /solutions 폴더에 제공됩니다. 또 다른 아이디어로는 친구들과 스터디 그룹을 만들어 함께 콘텐츠를 학습하는 것입니다. 추가 학습을 위해 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)을 추천합니다.
+> **[학생들](https://aka.ms/student-page)**, 이 커리큘럼을 독학으로 사용하려면 저장소를 포크하고 강의를 시작하세요. 강의 전 퀴즈를 풀고 강의를 읽은 후 나머지 활동을 완료하세요. 솔루션 코드를 복사하기보다는 강의를 이해하며 프로젝트를 만들어보세요. 하지만 솔루션 코드는 각 프로젝트 기반 강의의 /solutions 폴더에 있습니다. 또 다른 아이디어로는 친구들과 스터디 그룹을 만들어 함께 콘텐츠를 학습하는 것입니다. 추가 학습을 위해 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)을 추천합니다.
 
-이 코스에 대한 비디오 개요는 아래 비디오를 확인하세요:
+이 코스에 대한 비디오 개요는 아래 영상을 확인하세요:
 
 [![홍보 영상](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "홍보 영상")
 
@@ -67,75 +74,74 @@ Microsoft의 Azure Cloud Advocates는 IoT 기초에 관한 12주, 24강의 커
 
 ## 교육 방법론
 
-이 커리큘럼을 제작하면서 두 가지 교육 방법론을 선택했습니다: 프로젝트 기반 학습과 빈번한 퀴즈 포함. 이 시리즈가 끝날 때 학생들은 식물 모니터링 및 물주기 시스템, 차량 추적기, 스마트 공장 설정, 음성 제어 요리 타이머를 구축하며 IoT의 기본을 배우게 됩니다. 여기에는 디바이스 코드 작성, 클라우드 연결, 원격 측정 분석 및 엣지에서 AI 실행이 포함됩니다.
+이 커리큘럼을 개발하면서 두 가지 교육 방법론을 선택했습니다: 프로젝트 기반 학습과 빈번한 퀴즈 포함. 이 시리즈가 끝날 때 학생들은 식물 모니터링 및 물주기 시스템, 차량 추적기, 스마트 공장 설정, 음성 제어 요리 타이머를 구축하며 IoT의 기본 사항을 배우게 됩니다. 여기에는 디바이스 코드 작성, 클라우드 연결, 텔레메트리 분석 및 엣지에서 AI 실행이 포함됩니다.
 
-프로젝트와 연계된 콘텐츠를 보장함으로써 학생들에게 더 흥미로운 학습 경험을 제공하며 개념의 유지력을 높일 수 있습니다.
+프로젝트와 연계된 콘텐츠를 통해 학생들에게 더 흥미로운 학습 경험을 제공하며 개념의 유지력을 높일 수 있습니다.
 
-또한, 수업 전 저위험 퀴즈는 학생이 주제를 학습할 의도를 설정하며, 수업 후 두 번째 퀴즈는 개념의 추가적인 유지력을 보장합니다. 이 커리큘럼은 유연하고 재미있게 설계되었으며 전체적으로 또는 부분적으로 학습할 수 있습니다. 프로젝트는 작게 시작하여 12주 과정이 끝날 때 점점 복잡해집니다.
+또한, 수업 전 저위험 퀴즈는 학생들이 주제 학습에 집중하도록 하고, 수업 후 퀴즈는 개념의 추가적인 유지력을 보장합니다. 이 커리큘럼은 유연하고 재미있게 설계되었으며 전체 또는 일부를 학습할 수 있습니다. 프로젝트는 작게 시작하여 12주 과정이 끝날 때 점점 복잡해집니다.
 
-각 프로젝트는 학생과 취미 활동가들이 사용할 수 있는 실제 하드웨어를 기반으로 합니다. 각 프로젝트는 특정 프로젝트 도메인을 조사하며 관련 배경 지식을 제공합니다. 성공적인 개발자가 되기 위해서는 문제를 해결하는 도메인을 이해하는 것이 도움이 되며, 이러한 배경 지식은 학생들이 IoT 솔루션과 학습을 실제 IoT 개발자가 해결해야 할 문제의 맥락에서 생각할 수 있도록 합니다. 학생들은 자신이 구축하는 솔루션의 '이유'를 배우고 최종 사용자에 대한 이해를 얻습니다.
+각 프로젝트는 학생들과 취미 활동가들이 사용할 수 있는 실제 하드웨어를 기반으로 합니다. 각 프로젝트는 특정 프로젝트 도메인을 탐구하며 관련 배경 지식을 제공합니다. 성공적인 개발자가 되기 위해서는 문제를 해결하는 도메인을 이해하는 것이 도움이 됩니다. 이러한 배경 지식을 제공함으로써 학생들이 IoT 솔루션과 학습을 실제 IoT 개발자가 해결해야 할 문제의 맥락에서 생각할 수 있도록 합니다. 학생들은 자신이 구축하는 솔루션의 '이유'를 배우고 최종 사용자에 대한 이해를 얻습니다.
 
 ## 하드웨어
 
-개인 선호도, 프로그래밍 언어 지식 또는 선호도, 학습 목표 및 가용성에 따라 프로젝트에 사용할 두 가지 IoT 하드웨어 옵션을 제공합니다. 하드웨어에 접근할 수 없거나 구매 전에 더 배우고 싶은 경우를 위해 '가상 하드웨어' 버전도 제공했습니다. [하드웨어 페이지](./hardware.md)에서 더 많은 정보를 읽고 Seeed Studio의 친구들로부터 완전한 키트를 구매할 수 있는 링크를 찾을 수 있습니다.
+개인 선호도, 프로그래밍 언어 지식 또는 선호도, 학습 목표 및 가용성에 따라 프로젝트에 사용할 두 가지 IoT 하드웨어 옵션이 있습니다. 하드웨어에 접근할 수 없거나 구매 전에 더 배우고 싶다면 '가상 하드웨어' 버전도 제공합니다. 자세한 내용과 '쇼핑 리스트'는 [하드웨어 페이지](./hardware.md)에서 확인할 수 있으며, Seeed Studio의 친구들로부터 완전한 키트를 구매할 수 있는 링크도 포함되어 있습니다.
 
-> 💁 [행동 강령](CODE_OF_CONDUCT.md), [기여](CONTRIBUTING.md), 및 [번역](TRANSLATIONS.md) 지침을 확인하세요. 건설적인 피드백을 환영합니다!
+> 💁 [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), 및 [Translation](TRANSLATIONS.md) 가이드를 확인하세요. 건설적인 피드백을 환영합니다!
 
-## 각 강의는 다음을 포함합니다:
+## 각 강의에는 다음이 포함됩니다:
 
 - 스케치노트
 - 선택적 보충 영상
-- 강의 전 준비 퀴즈
-- 작성된 강의 내용
+- 강의 전 워밍업 퀴즈
+- 작성된 강의
 - 프로젝트 기반 강의의 경우, 프로젝트를 구축하는 단계별 가이드
 - 지식 점검
 - 도전 과제
-- 보충 자료
+- 보충 읽기 자료
 - 과제
 - [강의 후 퀴즈](https://ff-quizzes.netlify.app/en/)
+> **퀴즈에 대한 참고 사항**: 모든 퀴즈는 quiz-app 폴더에 포함되어 있으며, 총 48개의 퀴즈가 각 3개의 질문으로 구성되어 있습니다. 이들은 강의 내에서 링크로 연결되어 있지만, 퀴즈 앱은 로컬에서 실행하거나 Azure에 배포할 수 있습니다. `quiz-app` 폴더의 지침을 따르세요. 퀴즈는 점진적으로 현지화되고 있습니다.
 
-> **퀴즈에 대한 참고 사항**: 모든 퀴즈는 quiz-app 폴더에 포함되어 있으며, 각 3문제씩 총 48개의 퀴즈가 있습니다. 강의 내에서 링크되어 있지만 quiz 앱은 로컬에서 실행하거나 Azure에 배포할 수 있습니다. `quiz-app` 폴더의 지침을 따르세요. 퀴즈는 점차적으로 현지화되고 있습니다.
-
-## 강의 목록
+## 강의
 
 |       |              프로젝트 이름              |                       학습 개념                       | 학습 목표                                                                                                                                                 |                                                        연결된 강의                                                         |
-| :---: | :------------------------------------: | :--------------------------------------------------: | --------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [시작하기](./1-getting-started/README.md) |                     IoT 소개                     | IoT의 기본 원칙과 센서 및 클라우드 서비스와 같은 IoT 솔루션의 기본 구성 요소를 배우며 첫 번째 IoT 장치를 설정합니다 |                      [IoT 소개](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [시작하기](./1-getting-started/README.md) |                   IoT 심화 학습                    | IoT 시스템의 구성 요소, 마이크로컨트롤러 및 싱글보드 컴퓨터에 대해 더 깊이 배웁니다                                                            |                        [IoT 심화 학습](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [시작하기](./1-getting-started/README.md) | 센서와 액추에이터로 물리적 세계와 상호작용하기 | 물리적 세계에서 데이터를 수집하는 센서와 피드백을 보내는 액추에이터에 대해 배우며 야간 조명을 만듭니다                                           | [센서와 액추에이터로 물리적 세계와 상호작용하기](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [시작하기](./1-getting-started/README.md) |             장치를 인터넷에 연결하기             | IoT 장치를 인터넷에 연결하여 메시지를 보내고 받는 방법을 배우며 야간 조명을 MQTT 브로커에 연결합니다                               |               [장치를 인터넷에 연결하기](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [농장](./2-farm/README.md)            |                    식물 성장 예측                     | IoT 장치로 수집한 온도 데이터를 사용하여 식물 성장을 예측하는 방법을 배웁니다                                                                                  |                          [식물 성장 예측](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [농장](./2-farm/README.md)            |                    토양 수분 감지                     | 토양 수분을 감지하고 토양 수분 센서를 보정하는 방법을 배웁니다                                                                                              |                          [토양 수분 감지](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [농장](./2-farm/README.md)            |                  자동 식물 물주기                   | 릴레이와 MQTT를 사용하여 물주기를 자동화하고 타이밍을 설정하는 방법을 배웁니다                                                                                                      |                      [자동 식물 물주기](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [농장](./2-farm/README.md)            |               식물을 클라우드로 이동               | 클라우드 및 클라우드 호스팅 IoT 서비스에 대해 배우고 공용 MQTT 브로커 대신 식물을 클라우드에 연결하는 방법을 배웁니다                                   |               [식물을 클라우드로 이동](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [농장](./2-farm/README.md)            |         애플리케이션 로직을 클라우드로 이동         | IoT 메시지에 응답하는 클라우드에서 애플리케이션 로직을 작성하는 방법을 배웁니다                                                                          |         [애플리케이션 로직을 클라우드로 이동](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [농장](./2-farm/README.md)            |                   식물 보안 유지                    | IoT 보안 및 키와 인증서를 사용하여 식물을 안전하게 유지하는 방법을 배웁니다                                                                          |                        [식물 보안 유지](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [운송](./3-transport/README.md)       |                      위치 추적                      | IoT 장치의 GPS 위치 추적에 대해 배웁니다                                                                                                                   |                           [위치 추적](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [운송](./3-transport/README.md)       |                     위치 데이터 저장                     | 나중에 시각화하거나 분석할 수 있도록 IoT 데이터를 저장하는 방법을 배웁니다                                                                                                      |                         [위치 데이터 저장](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [운송](./3-transport/README.md)       |                   위치 데이터 시각화                   | 지도에서 위치 데이터를 시각화하는 방법과 지도가 실제 3D 세계를 2차원으로 표현하는 방법에 대해 배웁니다                                                            |                     [위치 데이터 시각화](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [운송](./3-transport/README.md)       |                          지오펜스                          | 지오펜스에 대해 배우고 공급망의 차량이 목적지에 가까워질 때 알림을 보내는 방법을 배웁니다                                           |                                   [지오펜스](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [제조](./4-manufacturing/README.md)   |               과일 품질 감지기 학습                | 클라우드에서 이미지 분류기를 학습하여 과일 품질을 감지하는 방법을 배웁니다                                                                                       |                 [과일 품질 감지기 학습](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [제조](./4-manufacturing/README.md)   |           IoT 장치에서 과일 품질 확인            | IoT 장치에서 과일 품질 감지기를 사용하는 방법을 배웁니다                                                                                                    |           [IoT 장치에서 과일 품질 확인](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [제조](./4-manufacturing/README.md)   |             엣지에서 과일 감지기 실행             | 엣지에서 IoT 장치로 과일 감지기를 실행하는 방법을 배웁니다                                                                                                |             [엣지에서 과일 감지기 실행](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [제조](./4-manufacturing/README.md)   |        센서에서 과일 품질 감지 트리거        | 센서에서 과일 품질 감지를 트리거하는 방법을 배웁니다                                                                                                        |        [센서에서 과일 품질 감지 트리거](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [소매](./5-retail/README.md)          |                   재고 감지기 학습                    | 객체 감지를 사용하여 상점에서 재고를 계산하는 재고 감지기를 학습하는 방법을 배웁니다                                                                                |                        [재고 감지기 학습](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [소매](./5-retail/README.md)          |               IoT 장치에서 재고 확인                | 객체 감지 모델을 사용하여 IoT 장치에서 재고를 확인하는 방법을 배웁니다                                                                                         |                     [IoT 장치에서 재고 확인](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [소비자](./6-consumer/README.md)        |             IoT 장치로 음성 인식하기             | IoT 장치에서 음성을 인식하여 스마트 타이머를 만드는 방법을 배웁니다                                                                                             |                  [IoT 장치로 음성 인식하기](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [소비자](./6-consumer/README.md)        |                     언어 이해하기                     | IoT 장치에 말한 문장을 이해하는 방법을 배웁니다                                                                                                           |                        [언어 이해하기](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [소비자](./6-consumer/README.md)        |           타이머 설정 및 음성 피드백 제공           | IoT 장치에서 타이머를 설정하고 타이머가 설정되었을 때와 종료되었을 때 음성 피드백을 제공하는 방법을 배웁니다                                                    |                 [타이머 설정 및 음성 피드백 제공](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [소비자](./6-consumer/README.md)        |                 다국어 지원                  | 스마트 타이머에서 말하는 언어와 응답을 모두 지원하는 방법을 배웁니다                                                               |                   [다국어 지원](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
-
-## 오프라인 액세스
-
-[Docsify](https://docsify.js.org/#/)를 사용하여 이 문서를 오프라인으로 실행할 수 있습니다. 이 저장소를 포크하고, [Docsify 설치](https://docsify.js.org/#/quickstart)를 로컬 컴퓨터에 설치한 후, 이 저장소의 루트 폴더에서 `docsify serve`를 입력하세요. 웹사이트는 로컬호스트의 포트 3000에서 제공됩니다: `localhost:3000`.
+| :---: | :------------------------------------: | :-------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [시작하기](./1-getting-started/README.md) |                     IoT 소개                     | IoT의 기본 원리와 센서 및 클라우드 서비스와 같은 IoT 솔루션의 기본 구성 요소를 배우며 첫 번째 IoT 장치를 설정합니다. |                      [IoT 소개](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [시작하기](./1-getting-started/README.md) |                   IoT 심화 학습                    | IoT 시스템의 구성 요소, 마이크로컨트롤러 및 싱글보드 컴퓨터에 대해 더 깊이 배웁니다.                                                            |                        [IoT 심화 학습](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [시작하기](./1-getting-started/README.md) | 센서와 액추에이터로 물리적 세계와 상호작용 | 물리적 세계에서 데이터를 수집하는 센서와 피드백을 보내는 액추에이터에 대해 배우며 야간 조명을 만듭니다.                                           | [센서와 액추에이터로 물리적 세계와 상호작용](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [시작하기](./1-getting-started/README.md) |             장치를 인터넷에 연결             | IoT 장치를 인터넷에 연결하여 메시지를 보내고 받는 방법을 배우며, 야간 조명을 MQTT 브로커에 연결합니다.                               |               [장치를 인터넷에 연결](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [농장](./2-farm/README.md)            |                    식물 성장 예측                     | IoT 장치로 수집한 온도 데이터를 사용하여 식물 성장을 예측하는 방법을 배웁니다.                                                                                  |                          [식물 성장 예측](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [농장](./2-farm/README.md)            |                    토양 수분 감지                     | 토양 수분을 감지하고 토양 수분 센서를 보정하는 방법을 배웁니다.                                                                                              |                          [토양 수분 감지](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [농장](./2-farm/README.md)            |                  자동 식물 물주기                   | 릴레이와 MQTT를 사용하여 물주기를 자동화하고 타이밍을 조정하는 방법을 배웁니다.                                                                                                      |                      [자동 식물 물주기](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [농장](./2-farm/README.md)            |               클라우드로 식물 이동               | 클라우드와 클라우드 호스팅 IoT 서비스에 대해 배우고, 공용 MQTT 브로커 대신 이러한 서비스 중 하나에 식물을 연결하는 방법을 배웁니다.                                   |               [클라우드로 식물 이동](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [농장](./2-farm/README.md)            |         애플리케이션 로직을 클라우드로 이동         | IoT 메시지에 응답하는 애플리케이션 로직을 클라우드에서 작성하는 방법을 배웁니다.                                                                          |         [애플리케이션 로직을 클라우드로 이동](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [농장](./2-farm/README.md)            |                   식물 보안 유지                    | IoT 보안과 키 및 인증서를 사용하여 식물을 안전하게 유지하는 방법을 배웁니다.                                                                          |                        [식물 보안 유지](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [운송](./3-transport/README.md)       |                      위치 추적                      | IoT 장치의 GPS 위치 추적에 대해 배웁니다.                                                                                                                   |                           [위치 추적](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [운송](./3-transport/README.md)       |                     위치 데이터 저장                     | IoT 데이터를 저장하여 나중에 시각화하거나 분석하는 방법을 배웁니다.                                                                                                      |                         [위치 데이터 저장](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [운송](./3-transport/README.md)       |                   위치 데이터 시각화                   | 지도에서 위치 데이터를 시각화하는 방법과 지도가 3차원 세계를 2차원으로 표현하는 방법에 대해 배웁니다.                                                            |                     [위치 데이터 시각화](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [운송](./3-transport/README.md)       |                          지오펜스                          | 지오펜스에 대해 배우고, 공급망의 차량이 목적지에 가까워질 때 알림을 보내는 데 사용하는 방법을 배웁니다.                                           |                                   [지오펜스](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [제조](./4-manufacturing/README.md)   |               과일 품질 감지기 학습                | 클라우드에서 이미지 분류기를 학습시켜 과일 품질을 감지하는 방법을 배웁니다.                                                                                       |                 [과일 품질 감지기 학습](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [제조](./4-manufacturing/README.md)   |           IoT 장치에서 과일 품질 확인            | IoT 장치에서 과일 품질 감지기를 사용하는 방법을 배웁니다.                                                                                                    |           [IoT 장치에서 과일 품질 확인](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [제조](./4-manufacturing/README.md)   |             엣지에서 과일 감지기 실행             | 엣지에서 IoT 장치로 과일 감지기를 실행하는 방법을 배웁니다.                                                                                                |             [엣지에서 과일 감지기 실행](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [제조](./4-manufacturing/README.md)   |        센서로 과일 품질 감지 트리거        | 센서로 과일 품질 감지를 트리거하는 방법을 배웁니다.                                                                                                        |        [센서로 과일 품질 감지 트리거](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [소매](./5-retail/README.md)          |                   재고 감지기 학습                    | 객체 감지를 사용하여 상점의 재고를 세는 재고 감지기를 학습하는 방법을 배웁니다.                                                                                |                        [재고 감지기 학습](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [소매](./5-retail/README.md)          |               IoT 장치에서 재고 확인                | 객체 감지 모델을 사용하여 IoT 장치에서 재고를 확인하는 방법을 배웁니다.                                                                                         |                     [IoT 장치에서 재고 확인](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [소비자](./6-consumer/README.md)        |             IoT 장치로 음성 인식             | IoT 장치에서 음성을 인식하여 스마트 타이머를 만드는 방법을 배웁니다.                                                                                             |                  [IoT 장치로 음성 인식](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [소비자](./6-consumer/README.md)        |                     언어 이해                     | IoT 장치에 말한 문장을 이해하는 방법을 배웁니다.                                                                                                           |                        [언어 이해](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [소비자](./6-consumer/README.md)        |           타이머 설정 및 음성 피드백 제공           | IoT 장치에서 타이머를 설정하고 타이머가 설정되었을 때와 종료되었을 때 음성 피드백을 제공하는 방법을 배웁니다.                                                    |                 [타이머 설정 및 음성 피드백 제공](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [소비자](./6-consumer/README.md)        |                 다국어 지원                  | 스마트 타이머에서 말하는 언어와 응답 언어를 모두 지원하는 방법을 배웁니다.                                                               |                   [다국어 지원](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+
+## 오프라인 접근
+
+[Docsify](https://docsify.js.org/#/)를 사용하여 이 문서를 오프라인에서 실행할 수 있습니다. 이 저장소를 포크하고, 로컬 머신에 [Docsify 설치](https://docsify.js.org/#/quickstart)를 완료한 후, 이 저장소의 루트 폴더에서 `docsify serve`를 입력하세요. 웹사이트는 로컬호스트의 포트 3000에서 제공됩니다: `localhost:3000`.
 
 ## 퀴즈
 
-각 챕터에 대한 지식을 테스트할 수 있는 인터랙티브 퀴즈를 커뮤니티에서 제공해 주셨습니다. [여기에서](https://ff-quizzes.netlify.app/en/) 지식을 테스트해보세요.
+각 장에 대한 지식을 테스트할 수 있는 인터랙티브 퀴즈를 커뮤니티에서 호스팅해 주셨습니다. [여기](https://ff-quizzes.netlify.app/en/)에서 지식을 테스트해 보세요.
 
 ### PDF
 
-필요한 경우 오프라인 액세스를 위해 이 콘텐츠의 PDF를 생성할 수 있습니다. 이를 위해 [npm 설치](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)를 확인하고 이 저장소의 루트 폴더에서 다음 명령을 실행하세요:
+필요한 경우 오프라인 접근을 위해 이 콘텐츠의 PDF를 생성할 수 있습니다. 이를 위해 [npm 설치](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)를 완료한 후, 이 저장소의 루트 폴더에서 다음 명령어를 실행하세요:
 
 ```sh
 npm i
@@ -144,13 +150,12 @@ npm run convert
 
 ### 슬라이드
 
-일부 레슨에 대한 슬라이드 데크는 [slides](../../slides) 폴더에 있습니다.
+일부 강의에 대한 슬라이드 데크는 [slides](../../slides) 폴더에 있습니다.
 
 ## 기타 커리큘럼
 
-우리 팀은 다른 커리큘럼도 제작합니다! 확인해보세요:
+우리 팀은 다른 커리큘럼도 제작합니다! 확인해 보세요:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -158,7 +163,7 @@ npm run convert
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### 생성형 AI 시리즈
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
@@ -166,28 +171,31 @@ npm run convert
 [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### 핵심 학습
-[![초보자를 위한 머신러닝](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
-[![초보자를 위한 데이터 과학](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![초보자를 위한 인공지능](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
-[![초보자를 위한 사이버 보안](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
-[![초보자를 위한 웹 개발](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
-[![초보자를 위한 IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
-[![초보자를 위한 XR 개발](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### Copilot 시리즈
-[![AI 페어 프로그래밍을 위한 Copilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
-[![C#/.NET을 위한 Copilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
-[![Copilot 어드벤처](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
 ## 이미지 출처
 
-이 커리큘럼에서 사용된 이미지의 출처는 필요할 경우 [출처](./attributions.md)에서 확인할 수 있습니다.
+이 커리큘럼에서 사용된 이미지의 출처는 필요한 경우 [Attributions](./attributions.md)에서 확인할 수 있습니다.
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **면책 조항**:  
-이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 최선을 다하지만, 자동 번역에는 오류나 부정확성이 포함될 수 있습니다. 원본 문서의 원어 버전을 권위 있는 출처로 간주해야 합니다. 중요한 정보의 경우, 전문적인 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 책임지지 않습니다.
\ No newline at end of file
+이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 최선을 다하고 있지만, 자동 번역에는 오류나 부정확성이 포함될 수 있습니다. 원본 문서의 원어 버전이 권위 있는 출처로 간주되어야 합니다. 중요한 정보의 경우, 전문적인 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 책임지지 않습니다.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/lt/README.md b/translations/lt/README.md
index 8ea5a9081..8806e21cb 100644
--- a/translations/lt/README.md
+++ b/translations/lt/README.md
@@ -1,141 +1,145 @@
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+  "translation_date": "2025-11-18T18:15:00+00:00",
   "source_file": "README.md",
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-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub licencija](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub bendradarbiai](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub problemos](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub užklausos](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub stebėtojai](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub šakės](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub žvaigždės](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Prisijunkite prie Azure AI Foundry bendruomenės
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Prisijunkite prie Azure AI Foundry bendruomenės  
 
-Sekite šiuos žingsnius, kad pradėtumėte naudotis šiais ištekliais:
-1. **Fork'uokite saugyklą**: Spustelėkite [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klonuokite saugyklą**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Prisijunkite prie Azure AI Foundry Discord ir susipažinkite su ekspertais bei kitais kūrėjais**](https://discord.com/invite/ByRwuEEgH4)
+Jei susiduriate su sunkumais ar turite klausimų apie AI programų kūrimą, prisijunkite prie kitų mokinių ir patyrusių kūrėjų diskusijose apie MCP. Tai palaikanti bendruomenė, kurioje klausimai yra laukiami, o žinios dalijamos laisvai.  
 
-### 🌐 Daugiakalbė parama
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Palaikoma per GitHub Action (Automatizuota ir visada atnaujinta)
+Jei turite atsiliepimų apie produktą ar susiduriate su klaidomis, apsilankykite:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](./README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT pradedantiesiems - mokymo programa
+Norėdami pradėti naudotis šiais ištekliais, atlikite šiuos veiksmus:  
+1. **Šakokite saugyklą**: Spustelėkite [![GitHub šakės](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klonuokite saugyklą**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Prisijunkite prie Microsoft Foundry Discord ir susipažinkite su ekspertais bei kitais kūrėjais**](https://discord.com/invite/ByRwuEEgH4)  
 
-„Microsoft“ Azure Cloud Advocates džiaugiasi galėdami pasiūlyti 12 savaičių, 24 pamokų mokymo programą apie IoT pagrindus. Kiekviena pamoka apima prieš pamoką ir po pamokos testus, rašytines instrukcijas, kaip atlikti pamoką, sprendimus, užduotis ir dar daugiau. Mūsų projektinis mokymo metodas leidžia mokytis kuriant, o tai yra patikrintas būdas įsisavinti naujus įgūdžius.
+### 🌐 Daugiakalbė parama  
 
-Projektai apima maisto kelionę nuo ūkio iki stalo. Tai apima ūkininkavimą, logistiką, gamybą, mažmeninę prekybą ir vartotoją – visos populiarios pramonės sritys, kuriose naudojami IoT įrenginiai.
+#### Palaikoma per GitHub Action (automatizuota ir visada atnaujinta)  
 
-![Kurso kelio žemėlapis, rodantis 24 pamokas, apimančias įvadą, ūkininkavimą, transportą, apdorojimą, mažmeninę prekybą ir gaminimą](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.lt.jpg)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](./README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
 
-> Sketchnote sukūrė [Nitya Narasimhan](https://github.com/nitya). Spustelėkite paveikslėlį, kad pamatytumėte didesnę versiją.
+# IoT pradedantiesiems - mokymo programa  
 
-**Nuoširdžiai dėkojame mūsų autoriams [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ir mūsų sketchnote menininkei [Nitya Narasimhan](https://github.com/nitya).**
+Microsoft Azure Cloud Advocates džiaugiasi galėdami pasiūlyti 12 savaičių, 24 pamokų mokymo programą apie IoT pagrindus. Kiekviena pamoka apima prieš ir po pamokos testus, rašytines instrukcijas, kaip atlikti pamoką, sprendimą, užduotį ir dar daugiau. Mūsų projektų pagrindu sukurta pedagogika leidžia mokytis kuriant, o tai yra įrodytas būdas įtvirtinti naujus įgūdžius.  
 
-**Taip pat dėkojame mūsų komandai [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), kurie peržiūrėjo ir išvertė šią mokymo programą - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), ir [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Projektai apima maisto kelionę nuo ūkio iki stalo. Tai apima ūkininkavimą, logistiką, gamybą, mažmeninę prekybą ir vartotoją – visas populiarias IoT įrenginių pramonės sritis.  
 
-Susipažinkite su komanda!
+![Kurso kelio žemėlapis, rodantis 24 pamokas, apimančias įvadą, ūkininkavimą, transportą, perdirbimą, mažmeninę prekybą ir gaminimą](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.lt.jpg)  
 
-[![Reklaminis vaizdo įrašas](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote sukūrė [Nitya Narasimhan](https://github.com/nitya). Spustelėkite paveikslėlį, kad pamatytumėte didesnę versiją.  
 
-**Gif sukūrė** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Nuoširdžiai dėkojame mūsų autoriams [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ir mūsų sketchnote menininkei [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Spustelėkite aukščiau esantį paveikslėlį, kad pamatytumėte vaizdo įrašą apie projektą!
+**Taip pat dėkojame mūsų komandai [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), kurie peržiūrėjo ir vertė šią mokymo programą – [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) ir [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Mokytojai**, mes [įtraukėme keletą pasiūlymų](for-teachers.md), kaip naudoti šią mokymo programą. Jei norite sukurti savo pamokas, mes taip pat įtraukėme [pamokos šabloną](lesson-template/README.md).
+Susipažinkite su komanda!  
 
-> **[Studentai](https://aka.ms/student-page)**, norėdami savarankiškai naudotis šia mokymo programa, fork'uokite visą saugyklą ir atlikite užduotis savarankiškai, pradėdami nuo prieš paskaitą testo, tada perskaitykite paskaitą ir atlikite likusias veiklas. Stenkitės kurti projektus suprasdami pamokas, o ne kopijuodami sprendimo kodą; tačiau tas kodas yra prieinamas /solutions aplankuose kiekvienoje projektui skirtoje pamokoje. Kita idėja būtų suformuoti studijų grupę su draugais ir kartu peržiūrėti turinį. Tolimesniam mokymuisi rekomenduojame [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Reklaminis vaizdo įrašas](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Norėdami pamatyti šio kurso vaizdo įrašo apžvalgą, peržiūrėkite šį vaizdo įrašą:
+**Gif sukūrė** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Reklaminis vaizdo įrašas](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Reklaminis vaizdo įrašas")
+> 🎥 Spustelėkite aukščiau esantį paveikslėlį, kad pamatytumėte vaizdo įrašą apie projektą!  
 
-> 🎥 Spustelėkite aukščiau esantį paveikslėlį, kad pamatytumėte vaizdo įrašą apie projektą!
+> **Mokytojai**, mes [įtraukėme keletą pasiūlymų](for-teachers.md), kaip naudoti šią mokymo programą. Jei norite sukurti savo pamokas, mes taip pat įtraukėme [pamokos šabloną](lesson-template/README.md).  
 
-## Pedagogika
+> **[Studentai](https://aka.ms/student-page)**, norėdami naudoti šią mokymo programą savarankiškai, šakokite visą saugyklą ir atlikite pratimus savarankiškai, pradėdami nuo prieš paskaitą esančio testo, tada skaitykite paskaitą ir atlikite likusias veiklas. Stenkitės kurti projektus suprasdami pamokas, o ne kopijuodami sprendimo kodą; tačiau tas kodas yra prieinamas /solutions aplankuose kiekvienoje projektų pagrindu sukurtoje pamokoje. Kita idėja būtų suformuoti studijų grupę su draugais ir kartu peržiūrėti turinį. Norėdami toliau mokytis, rekomenduojame [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Kuriant šią mokymo programą pasirinkome du pedagoginius principus: užtikrinti, kad ji būtų projektinė, ir įtraukti dažnus testus. Iki šios serijos pabaigos studentai sukurs augalų stebėjimo ir laistymo sistemą, transporto priemonės sekimo įrenginį, išmaniąją gamyklos sistemą maisto stebėjimui ir tikrinimui bei balso valdomą gaminimo laikmatį, taip pat išmoks daiktų interneto pagrindus, įskaitant įrenginių kodavimą, prisijungimą prie debesies, telemetrijos analizę ir AI naudojimą krašte.
+Norėdami pamatyti šio kurso vaizdo įrašo apžvalgą, peržiūrėkite šį vaizdo įrašą:  
 
-Užtikrinant, kad turinys atitiktų projektus, procesas tampa įdomesnis studentams, o koncepcijų išlaikymas sustiprėja.
+[![Reklaminis vaizdo įrašas](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Reklaminis vaizdo įrašas")  
 
-Be to, mažo streso testas prieš pamoką nustato studento ketinimą mokytis temos, o antrasis testas po pamokos užtikrina tolesnį išlaikymą. Ši mokymo programa buvo sukurta taip, kad būtų lanksti ir įdomi, ją galima naudoti visą arba dalimis. Projektai prasideda nuo paprastų ir tampa vis sudėtingesni iki 12 savaičių ciklo pabaigos.
+> 🎥 Spustelėkite aukščiau esantį paveikslėlį, kad pamatytumėte vaizdo įrašą apie projektą!  
 
-Kiekvienas projektas yra pagrįstas realiu aparatine įranga, prieinama studentams ir entuziastams. Kiekvienas projektas nagrinėja konkretų projekto domeną, suteikdamas atitinkamas pagrindines žinias. Norint tapti sėkmingu kūrėju, svarbu suprasti domeną, kuriame sprendžiamos problemos, o šios pagrindinės žinios leidžia studentams galvoti apie savo IoT sprendimus ir mokymus realių problemų, kurias jie gali būti paprašyti spręsti kaip IoT kūrėjai, kontekste. Studentai sužino „kodėl“ sprendimų, kuriuos jie kuria, ir įgyja galutinio vartotojo supratimą.
+## Pedagogika  
 
-## Aparatinė įranga
+Kurdami šią mokymo programą pasirinkome du pedagoginius principus: užtikrinti, kad ji būtų pagrįsta projektais, ir įtraukti dažnus testus. Iki šios serijos pabaigos studentai sukurs augalų stebėjimo ir laistymo sistemą, transporto priemonės sekimo įrenginį, išmaniąją gamyklą maisto stebėjimui ir tikrinimui bei balso valdomą gaminimo laikmatį, taip pat išmoks IoT pagrindus, įskaitant įrenginių kodo rašymą, prisijungimą prie debesies, telemetrijos analizę ir AI vykdymą krašte.  
 
-Mes turime du IoT aparatinės įrangos pasirinkimus, kuriuos galima naudoti projektuose, priklausomai nuo asmeninių pageidavimų, programavimo kalbos žinių ar pageidavimų, mokymosi tikslų ir prieinamumo. Taip pat pateikėme „virtualios aparatinės įrangos“ versiją tiems, kurie neturi prieigos prie aparatinės įrangos arba nori sužinoti daugiau prieš įsigydami. Daugiau informacijos ir „pirkinių sąrašą“ galite rasti [aparatinės įrangos puslapyje](./hardware.md), įskaitant nuorodas į pilnus rinkinius iš mūsų draugų Seeed Studio.
+Užtikrinant, kad turinys atitiktų projektus, procesas tampa įdomesnis studentams, o koncepcijų įsisavinimas sustiprėja.  
 
-> 💁 Raskite mūsų [Elgesio kodeksą](CODE_OF_CONDUCT.md), [Prisidėjimo](CONTRIBUTING.md) ir [Vertimo](TRANSLATIONS.md) gaires. Laukiame jūsų konstruktyvios nuomonės!
+Be to, mažos rizikos testas prieš pamoką nustato studento ketinimą mokytis temos, o antrasis testas po pamokos užtikrina tolesnį įsisavinimą. Ši mokymo programa buvo sukurta taip, kad būtų lanksti ir įdomi, ir ją galima naudoti visą arba dalimis. Projektai prasideda nuo paprastų ir tampa vis sudėtingesni iki 12 savaičių ciklo pabaigos.  
 
-## Kiekviena pamoka apima:
+Kiekvienas projektas yra pagrįstas realia įranga, prieinama studentams ir mėgėjams. Kiekvienas projektas nagrinėja specifinę projekto sritį, suteikdamas atitinkamų pagrindinių žinių. Norint būti sėkmingu kūrėju, svarbu suprasti sritį, kurioje sprendžiate problemas, o šios pagrindinės žinios leidžia studentams galvoti apie savo IoT sprendimus ir mokymus realaus pasaulio problemų, kurias jie gali būti paprašyti spręsti kaip IoT kūrėjai, kontekste. Studentai sužino „kodėl“ apie kuriamus sprendimus ir įgyja galutinio vartotojo supratimą.  
 
-- sketchnote
-- pasirenkamą papildomą vaizdo įrašą
-- prieš pamoką apšilimo testą
-- rašytinę pamoką
-- projektinėms pamokoms – žingsnis po žingsnio vadovus, kaip sukurti projektą
-- žinių patikrinimus
-- iššūkį
-- papildomą skaitymą
-- užduotį
-- [po pamokos testą](https://ff-quizzes.netlify.app/en/)
+## Aparatūra  
 
-> **Pastaba apie testus**: Visi testai yra patalpinti quiz-app aplanke, iš viso 48 testai po tris klausimus kiekviename. Jie yra susieti iš pamokų, tačiau quiz-app galima paleisti lokaliai arba įdiegti Azure; sekite instrukcijas `quiz-app` aplanke. Jie palaipsniui lokalizuojami.
+Mes turime du IoT aparatūros pasirinkimus, kuriuos galima naudoti projektuose, priklausomai nuo asmeninių pageidavimų, programavimo kalbos žinių ar pageidavimų, mokymosi tikslų ir prieinamumo. Taip pat pateikėme „virtualios aparatūros“ versiją tiems, kurie neturi prieigos prie aparatūros arba nori daugiau sužinoti prieš įsigydami. Daugiau informacijos ir „pirkinių sąrašą“ galite rasti [aparatinės įrangos puslapyje](./hardware.md), įskaitant nuorodas įsigyti pilnus rinkinius iš mūsų draugų Seeed Studio.  
+
+> 💁 Raskite mūsų [Elgesio kodeksą](CODE_OF_CONDUCT.md), [Prisidėjimo](CONTRIBUTING.md) ir [Vertimo](TRANSLATIONS.md) gaires. Laukiame jūsų konstruktyvių atsiliepimų!  
+
+## Kiekviena pamoka apima:  
+
+- sketchnote  
+- pasirenkamą papildomą vaizdo įrašą  
+- prieš pamoką skirtą apšilimo testą  
+- rašytinę pamoką  
+- projektų pagrindu sukurtoms pamokoms – žingsnis po žingsnio vadovus, kaip sukurti projektą  
+- žinių patikrinimus  
+- iššūkį  
+- papildomą skaitymą  
+- užduotį  
+- [po pamokos testą](https://ff-quizzes.netlify.app/en/)  
+> **Pastaba apie viktorinas**: Visos viktorinos yra saugomos aplanke „quiz-app“, iš viso yra 48 viktorinos, kiekviena su trimis klausimais. Jos yra susietos su pamokomis, tačiau viktorinų programėlę galima paleisti lokaliai arba įdiegti Azure platformoje; sekite instrukcijas aplanke `quiz-app`. Jos palaipsniui lokalizuojamos.
 
 ## Pamokos
 
 |       |              Projekto pavadinimas              |                       Mokomosios sąvokos                       | Mokymosi tikslai                                                                                                                                                 |                                                        Susieta pamoka                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Pradžia](./1-getting-started/README.md) |                     Įvadas į IoT                     | Sužinokite pagrindinius IoT principus ir pagrindinius IoT sprendimų komponentus, tokius kaip jutikliai ir debesų paslaugos, kol nustatote savo pirmąjį IoT įrenginį |                      [Įvadas į IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Pradžia](./1-getting-started/README.md) |                   Gilesnis IoT supratimas                    | Sužinokite daugiau apie IoT sistemos komponentus, taip pat apie mikrovaldiklius ir vieno plokštės kompiuterius                                                            |                        [Gilesnis IoT supratimas](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Pradžia](./1-getting-started/README.md) | Sąveika su fiziniu pasauliu naudojant jutiklius ir aktuatorius | Sužinokite apie jutiklius, kurie renka duomenis iš fizinio pasaulio, ir aktuatorius, kurie siunčia atsiliepimus, kol kuriate naktinę lemputę                                           | [Sąveika su fiziniu pasauliu naudojant jutiklius ir aktuatorius](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Pradžia](./1-getting-started/README.md) |             Prijunkite savo įrenginį prie interneto             | Sužinokite, kaip prijungti IoT įrenginį prie interneto, kad galėtumėte siųsti ir gauti pranešimus, prijungdami savo naktinę lemputę prie MQTT brokerio                               |               [Prijunkite savo įrenginį prie interneto](./1-getting-started/lessons/4-connect-internet/README.md)                |
+| :---: | :--------------------------------------------: | :-----------------------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Pradžia](./1-getting-started/README.md)       |                     Įvadas į IoT                     | Sužinokite pagrindinius IoT principus ir pagrindinius IoT sprendimų elementus, tokius kaip jutikliai ir debesų paslaugos, kol nustatote savo pirmąjį IoT įrenginį |                      [Įvadas į IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Pradžia](./1-getting-started/README.md)       |                   Gilesnis IoT pažinimas                    | Sužinokite daugiau apie IoT sistemos komponentus, taip pat mikrovaldiklius ir vienos plokštės kompiuterius                                                            |                        [Gilesnis IoT pažinimas](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Pradžia](./1-getting-started/README.md)       | Sąveika su fiziniu pasauliu naudojant jutiklius ir aktuatorius | Sužinokite apie jutiklius, skirtus duomenims rinkti iš fizinio pasaulio, ir aktuatorius, skirtus grįžtamajam ryšiui, kol kuriate naktinę lempelę                                           | [Sąveika su fiziniu pasauliu naudojant jutiklius ir aktuatorius](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Pradžia](./1-getting-started/README.md)       |             Prijunkite savo įrenginį prie interneto             | Sužinokite, kaip prijungti IoT įrenginį prie interneto, kad galėtumėte siųsti ir gauti pranešimus, prijungdami savo naktinę lempelę prie MQTT brokerio                               |               [Prijunkite savo įrenginį prie interneto](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [Ūkis](./2-farm/README.md)            |                    Augalų augimo prognozavimas                     | Sužinokite, kaip prognozuoti augalų augimą naudojant temperatūros duomenis, surinktus IoT įrenginiu                                                                                  |                          [Augalų augimo prognozavimas](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [Ūkis](./2-farm/README.md)            |                    Dirvožemio drėgmės aptikimas                     | Sužinokite, kaip aptikti dirvožemio drėgmę ir kalibruoti dirvožemio drėgmės jutiklį                                                                                              |                          [Dirvožemio drėgmės aptikimas](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Ūkis](./2-farm/README.md)            |                  Automatinis augalų laistymas                   | Sužinokite, kaip automatizuoti ir laiku laistyti naudojant relę ir MQTT                                                                                                      |                      [Automatinis augalų laistymas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Ūkis](./2-farm/README.md)            |               Perkelkite savo augalą į debesį               | Sužinokite apie debesį ir debesyje talpinamas IoT paslaugas bei kaip prijungti savo augalą prie vienos iš jų, o ne prie viešo MQTT brokerio                                   |               [Perkelkite savo augalą į debesį](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Ūkis](./2-farm/README.md)            |         Perkelkite savo programos logiką į debesį         | Sužinokite, kaip galite rašyti programos logiką debesyje, kuri reaguoja į IoT pranešimus                                                                          |         [Perkelkite savo programos logiką į debesį](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  07   |            [Ūkis](./2-farm/README.md)            |                  Automatinis augalų laistymas                   | Sužinokite, kaip automatizuoti ir laiku atlikti laistymą naudojant relę ir MQTT                                                                                                      |                      [Automatinis augalų laistymas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Ūkis](./2-farm/README.md)            |               Perkelkite savo augalą į debesį               | Sužinokite apie debesų paslaugas ir debesų talpinamas IoT paslaugas bei kaip prijungti savo augalą prie vienos iš jų vietoj viešojo MQTT brokerio                                   |               [Perkelkite savo augalą į debesį](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ūkis](./2-farm/README.md)            |         Perkelkite savo programos logiką į debesį         | Sužinokite, kaip rašyti programos logiką debesyje, kuri reaguoja į IoT pranešimus                                                                          |         [Perkelkite savo programos logiką į debesį](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Ūkis](./2-farm/README.md)            |                   Užtikrinkite savo augalo saugumą                    | Sužinokite apie IoT saugumą ir kaip užtikrinti savo augalo saugumą naudojant raktus ir sertifikatus                                                                          |                        [Užtikrinkite savo augalo saugumą](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Transportas](./3-transport/README.md)       |                      Vietos sekimas                      | Sužinokite apie GPS vietos sekimą IoT įrenginiams                                                                                                                   |                           [Vietos sekimas](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transportas](./3-transport/README.md)       |                     Vietos duomenų saugojimas                     | Sužinokite, kaip saugoti IoT duomenis, kad vėliau juos būtų galima vizualizuoti ar analizuoti                                                                                                      |                         [Vietos duomenų saugojimas](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  12   |       [Transportas](./3-transport/README.md)       |                     Vietos duomenų saugojimas                     | Sužinokite, kaip saugoti IoT duomenis, kad juos būtų galima vizualizuoti ar analizuoti vėliau                                                                                                      |                         [Vietos duomenų saugojimas](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [Transportas](./3-transport/README.md)       |                   Vietos duomenų vizualizavimas                   | Sužinokite apie vietos duomenų vizualizavimą žemėlapyje ir kaip žemėlapiai atspindi realų 3D pasaulį 2D formatu                                                            |                     [Vietos duomenų vizualizavimas](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transportas](./3-transport/README.md)       |                          Geotvoros                          | Sužinokite apie geotvoras ir kaip jos gali būti naudojamos pranešti, kai transporto priemonės tiekimo grandinėje yra arti savo paskirties vietos                                           |                                   [Geotvoros](./3-transport/lessons/4-geofences/README.md)                                   |
+|  14   |       [Transportas](./3-transport/README.md)       |                          Geotvoros                          | Sužinokite apie geotvoras ir kaip jos gali būti naudojamos įspėti, kai tiekimo grandinės transporto priemonės artėja prie savo paskirties vietos                                           |                                   [Geotvoros](./3-transport/lessons/4-geofences/README.md)                                   |
 |  15   |   [Gamyba](./4-manufacturing/README.md)   |               Vaisių kokybės detektoriaus mokymas                | Sužinokite, kaip debesyje apmokyti vaizdų klasifikatorių vaisių kokybei nustatyti                                                                                       |                 [Vaisių kokybės detektoriaus mokymas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Gamyba](./4-manufacturing/README.md)   |           Vaisių kokybės tikrinimas iš IoT įrenginio            | Sužinokite, kaip naudoti vaisių kokybės detektorių iš IoT įrenginio                                                                                                    |           [Vaisių kokybės tikrinimas iš IoT įrenginio](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Gamyba](./4-manufacturing/README.md)   |             Paleiskite vaisių detektorių krašte             | Sužinokite, kaip paleisti vaisių detektorių IoT įrenginyje krašte                                                                                                |             [Paleiskite vaisių detektorių krašte](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  16   |   [Gamyba](./4-manufacturing/README.md)   |           Vaisių kokybės tikrinimas iš IoT įrenginio            | Sužinokite, kaip naudoti savo vaisių kokybės detektorių iš IoT įrenginio                                                                                                    |           [Vaisių kokybės tikrinimas iš IoT įrenginio](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Gamyba](./4-manufacturing/README.md)   |             Paleiskite vaisių detektorių krašte             | Sužinokite, kaip paleisti savo vaisių detektorių IoT įrenginyje krašte                                                                                                |             [Paleiskite vaisių detektorių krašte](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [Gamyba](./4-manufacturing/README.md)   |        Vaisių kokybės aptikimo paleidimas iš jutiklio        | Sužinokite, kaip paleisti vaisių kokybės aptikimą iš jutiklio                                                                                                        |        [Vaisių kokybės aptikimo paleidimas iš jutiklio](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Mažmeninė prekyba](./5-retail/README.md)          |                   Atsargų detektoriaus mokymas                    | Sužinokite, kaip naudoti objektų aptikimą, kad apmokytumėte atsargų detektorių skaičiuoti atsargas parduotuvėje                                                                                |                        [Atsargų detektoriaus mokymas](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Mažmeninė prekyba](./5-retail/README.md)          |               Atsargų tikrinimas iš IoT įrenginio                | Sužinokite, kaip tikrinti atsargas iš IoT įrenginio naudojant objektų aptikimo modelį                                                                                         |                     [Atsargų tikrinimas iš IoT įrenginio](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Vartotojas](./6-consumer/README.md)        |             Kalbos atpažinimas su IoT įrenginiu             | Sužinokite, kaip atpažinti kalbą iš IoT įrenginio, kad sukurtumėte išmanų laikmatį                                                                                             |                  [Kalbos atpažinimas su IoT įrenginiu](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Vartotojas](./6-consumer/README.md)        |                     Kalbos supratimas                     | Sužinokite, kaip suprasti sakinius, pasakytus IoT įrenginiui                                                                                                           |                        [Kalbos supratimas](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Vartotojas](./6-consumer/README.md)        |           Laikmačio nustatymas ir žodinis atsiliepimas           | Sužinokite, kaip nustatyti laikmatį IoT įrenginyje ir pateikti žodinį atsiliepimą, kada laikmatis nustatytas ir kada jis baigiasi                                                    |                 [Laikmačio nustatymas ir žodinis atsiliepimas](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Vartotojas](./6-consumer/README.md)        |                 Daugiakalbės palaikymas                  | Sužinokite, kaip palaikyti daugiakalbį bendravimą, tiek kalbant su įrenginiu, tiek atsakymuose iš jūsų išmanaus laikmačio                                                               |                   [Daugiakalbės palaikymas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  19   |          [Mažmeninė prekyba](./5-retail/README.md)          |                   Atsargų detektoriaus mokymas                    | Sužinokite, kaip naudoti objektų atpažinimą, kad apmokytumėte atsargų detektorių skaičiuoti atsargas parduotuvėje                                                                                |                        [Atsargų detektoriaus mokymas](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Mažmeninė prekyba](./5-retail/README.md)          |               Atsargų tikrinimas iš IoT įrenginio                | Sužinokite, kaip tikrinti atsargas iš IoT įrenginio naudojant objektų atpažinimo modelį                                                                                         |                     [Atsargų tikrinimas iš IoT įrenginio](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Vartotojai](./6-consumer/README.md)        |             Kalbos atpažinimas su IoT įrenginiu             | Sužinokite, kaip atpažinti kalbą iš IoT įrenginio, kad sukurtumėte išmanųjį laikmatį                                                                                             |                  [Kalbos atpažinimas su IoT įrenginiu](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Vartotojai](./6-consumer/README.md)        |                     Kalbos supratimas                     | Sužinokite, kaip suprasti sakinius, pasakytus IoT įrenginiui                                                                                                           |                        [Kalbos supratimas](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Vartotojai](./6-consumer/README.md)        |           Laikmačio nustatymas ir kalbinis grįžtamasis ryšys           | Sužinokite, kaip nustatyti laikmatį IoT įrenginyje ir pateikti kalbinį grįžtamąjį ryšį apie laikmačio nustatymą ir pabaigą                                                    |                 [Laikmačio nustatymas ir kalbinis grįžtamasis ryšys](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Vartotojai](./6-consumer/README.md)        |                 Daugiakalbės kalbos palaikymas                  | Sužinokite, kaip palaikyti daugiakalbį bendravimą, tiek kalbant su įrenginiu, tiek atsakymuose iš jūsų išmaniojo laikmačio                                                               |                   [Daugiakalbės kalbos palaikymas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Prieiga neprisijungus
 
-Šią dokumentaciją galite naudoti neprisijungę naudodami [Docsify](https://docsify.js.org/#/). Nukopijuokite šį repozitoriją, [įdiekite Docsify](https://docsify.js.org/#/quickstart) savo vietiniame kompiuteryje, o tada pagrindiniame šio repozitorijos aplanke įveskite `docsify serve`. Svetainė bus pasiekiama 3000 prievade jūsų vietiniame kompiuteryje: `localhost:3000`.
+Šią dokumentaciją galite naudoti neprisijungę naudodami [Docsify](https://docsify.js.org/#/). Fork'inkite šį repozitoriją, [įdiekite Docsify](https://docsify.js.org/#/quickstart) savo kompiuteryje ir tada pagrindiniame šio repozitorijos aplanke įveskite `docsify serve`. Svetainė bus pasiekiama 3000 prievade jūsų localhost'e: `localhost:3000`.
 
-## Testas
+## Viktorina
 
-Dėkojame bendruomenei už interaktyvų testą, kuris patikrina jūsų žinias apie kiekvieną skyrių. Savo žinias galite patikrinti [čia](https://ff-quizzes.netlify.app/en/) 
+Dėkojame bendruomenei už interaktyvios viktorinos, kuri tikrina jūsų žinias apie kiekvieną skyrių, talpinimą. Savo žinias galite patikrinti [čia](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Jei reikia, galite sugeneruoti šio turinio PDF versiją, kad galėtumėte naudotis neprisijungus. Norėdami tai padaryti, įsitikinkite, kad turite [įdiegtą npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ir vykdykite šias komandas pagrindiniame šio repozitorijos aplanke:
+Jei reikia, galite sugeneruoti šio turinio PDF versiją, kad galėtumėte naudoti neprisijungę. Tam įsitikinkite, kad turite [įdiegtą npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ir paleiskite šias komandas pagrindiniame šio repozitorijos aplanke:
 
 ```sh
 npm i
@@ -144,51 +148,53 @@ npm run convert
 
 ### Skaidrės
 
-Kai kurioms pamokoms yra paruoštos skaidrės [skaidrių](../../slides) aplanke.
+Kai kurioms pamokoms yra paruoštos skaidrės aplanke [slides](../../slides).
 
 
-## Kiti mokymo kursai
+## Kitos mokymo programos
 
-Mūsų komanda kuria ir kitus mokymo kursus! Peržiūrėkite:
+Mūsų komanda kuria ir kitas mokymo programas! Peržiūrėkite:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agentai
 [![AZD pradedantiesiems](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI pradedantiesiems](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP pradedantiesiems](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI agentai pradedantiesiems](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Dirbtinio intelekto agentai pradedantiesiems](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generatyvios AI serijos
-[![Generatyvi AI pradedantiesiems](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generatyvi AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generatyvi AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generatyvi AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### Generatyvaus DI serija
+[![Generatyvus DI pradedantiesiems](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generatyvus DI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generatyvus DI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generatyvinis AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Pagrindinis mokymasis
-[![ML pradedantiesiems](https://img.shields.io/badge/ML%20pradedantiesiems-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Duomenų mokslas pradedantiesiems](https://img.shields.io/badge/Duomenų%20mokslas%20pradedantiesiems-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Dirbtinis intelektas pradedantiesiems](https://img.shields.io/badge/Dirbtinis%20intelektas%20pradedantiesiems-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kibernetinis saugumas pradedantiesiems](https://img.shields.io/badge/Kibernetinis%20saugumas%20pradedantiesiems-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Tinklalapių kūrimas pradedantiesiems](https://img.shields.io/badge/Tinklalapių%20kūrimas%20pradedantiesiems-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT pradedantiesiems](https://img.shields.io/badge/IoT%20pradedantiesiems-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR kūrimas pradedantiesiems](https://img.shields.io/badge/XR%20kūrimas%20pradedantiesiems-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML pradedantiesiems](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Duomenų mokslas pradedantiesiems](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI pradedantiesiems](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Kibernetinis saugumas pradedantiesiems](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Tinklalapių kūrimas pradedantiesiems](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT pradedantiesiems](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR kūrimas pradedantiesiems](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot serija  
-[![Copilot dirbtinio intelekto poriniam programavimui](https://img.shields.io/badge/Copilot%20dirbtinio%20intelekto%20poriniam%20programavimui-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET](https://img.shields.io/badge/Copilot%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot nuotykiai](https://img.shields.io/badge/Copilot%20nuotykiai-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot serija
+[![Copilot AI poriniam programavimui](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot nuotykiai](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Vaizdų priskyrimai  
+## Vaizdų priskyrimai
 
-Visus vaizdų, naudojamų šiame kurse, priskyrimus galite rasti, jei reikia, [Priskyrimai](./attributions.md).  
+Visus vaizdų, naudojamų šiame kurse, priskyrimus galite rasti, kur reikia, [Priskyrimai](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Atsakomybės apribojimas**:  
-Šis dokumentas buvo išverstas naudojant AI vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors stengiamės užtikrinti tikslumą, prašome atkreipti dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Kritinei informacijai rekomenduojama naudoti profesionalų žmogaus vertimą. Mes neprisiimame atsakomybės už nesusipratimus ar klaidingus aiškinimus, atsiradusius dėl šio vertimo naudojimo.
\ No newline at end of file
+Šis dokumentas buvo išverstas naudojant dirbtinio intelekto vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors siekiame tikslumo, atkreipkite dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Dėl svarbios informacijos rekomenduojama profesionali žmogaus vertimo paslauga. Mes neprisiimame atsakomybės už nesusipratimus ar klaidingus aiškinimus, kylančius dėl šio vertimo naudojimo.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/mo/README.md b/translations/mo/README.md
index 5ea00168b..cf1680775 100644
--- a/translations/mo/README.md
+++ b/translations/mo/README.md
@@ -1,53 +1,58 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:58:37+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:18:29+00:00",
   "source_file": "README.md",
   "language_code": "mo"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub 授權](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub 貢獻者](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub 問題](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub 拉取請求](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![歡迎 PR](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub 觀察者](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub 分叉](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub 星標](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### 加入 Azure AI Foundry 社群
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-按照以下步驟開始使用這些資源：
-1. **分叉此儲存庫**：點擊 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+如果你在建立 AI 應用程式時遇到困難或有任何疑問，歡迎加入其他學習者和有經驗的開發者，一起討論 MCP。這是一個支持性的社群，歡迎提問並自由分享知識。
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+如果你有產品反饋或在建置過程中遇到錯誤，請造訪：
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+開始使用這些資源的步驟如下：
+1. **分叉此儲存庫**：點擊 [![GitHub 分叉](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **複製此儲存庫**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**加入 Azure AI Foundry Discord，與專家及其他開發者交流**](https://discord.com/invite/ByRwuEEgH4)
+3. [**加入 Microsoft Foundry Discord，與專家和其他開發者交流**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 多語言支援
 
-#### 透過 GitHub Action 支援（自動化且始終保持最新）
+#### 透過 GitHub Action 支援（自動化且隨時更新）
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [中文（簡體）](../zh/README.md) | [中文（繁體，香港）](../hk/README.md) | [中文（繁體，澳門）](./README.md) | [中文（繁體，台灣）](../tw/README.md) | [克羅埃西亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [義大利文](../it/README.md) | [日文](../ja/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [挪威文](../no/README.md) | [波斯文](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文（巴西）](../br/README.md) | [葡萄牙文（葡萄牙）](../pt/README.md) | [旁遮普文](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文（西里爾字母）](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [他加祿文（菲律賓）](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[阿拉伯語](../ar/README.md) | [孟加拉語](../bn/README.md) | [保加利亞語](../bg/README.md) | [緬甸語](../my/README.md) | [中文（簡體）](../zh/README.md) | [中文（繁體，香港）](../hk/README.md) | [中文（繁體，澳門）](./README.md) | [中文（繁體，台灣）](../tw/README.md) | [克羅埃西亞語](../hr/README.md) | [捷克語](../cs/README.md) | [丹麥語](../da/README.md) | [荷蘭語](../nl/README.md) | [愛沙尼亞語](../et/README.md) | [芬蘭語](../fi/README.md) | [法語](../fr/README.md) | [德語](../de/README.md) | [希臘語](../el/README.md) | [希伯來語](../he/README.md) | [印地語](../hi/README.md) | [匈牙利語](../hu/README.md) | [印尼語](../id/README.md) | [義大利語](../it/README.md) | [日語](../ja/README.md) | [韓語](../ko/README.md) | [立陶宛語](../lt/README.md) | [馬來語](../ms/README.md) | [馬拉地語](../mr/README.md) | [尼泊爾語](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威語](../no/README.md) | [波斯語（法爾西語）](../fa/README.md) | [波蘭語](../pl/README.md) | [葡萄牙語（巴西）](../br/README.md) | [葡萄牙語（葡萄牙）](../pt/README.md) | [旁遮普語（古木基文）](../pa/README.md) | [羅馬尼亞語](../ro/README.md) | [俄語](../ru/README.md) | [塞爾維亞語（西里爾文）](../sr/README.md) | [斯洛伐克語](../sk/README.md) | [斯洛文尼亞語](../sl/README.md) | [西班牙語](../es/README.md) | [斯瓦希里語](../sw/README.md) | [瑞典語](../sv/README.md) | [他加祿語（菲律賓語）](../tl/README.md) | [泰米爾語](../ta/README.md) | [泰語](../th/README.md) | [土耳其語](../tr/README.md) | [烏克蘭語](../uk/README.md) | [烏爾都語](../ur/README.md) | [越南語](../vi/README.md)
 
-# IoT 初學者課程
+# 初學者的物聯網課程
 
-Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24 節課的課程，內容涵蓋 IoT 基礎知識。每節課都包含課前和課後測驗、完成課程的書面指導、解決方案、作業等。我們的專案式教學法讓您在建構中學習，這是一種能讓新技能更牢固的有效方法。
+Microsoft 的 Azure Cloud Advocates 團隊很高興提供一個為期 12 週、共 24 節課的課程，專注於物聯網的基礎知識。每節課都包含課前和課後測驗、完成課程的書面指導、解決方案、作業等。我們的專案式教學法讓你在實作中學習，這是一種能讓新技能更容易掌握的有效方法。
 
-這些專案涵蓋了食物從農場到餐桌的旅程，包括農業、物流、製造、零售和消費者——這些都是 IoT 設備的熱門行業領域。
+這些專案涵蓋了從農場到餐桌的食物旅程，包括農業、物流、製造、零售和消費者——這些都是物聯網設備的熱門應用領域。
 
 ![課程路線圖，顯示 24 節課涵蓋介紹、農業、運輸、加工、零售和烹飪](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.mo.jpg)
 
 > 由 [Nitya Narasimhan](https://github.com/nitya) 繪製的手繪筆記。點擊圖片查看更大版本。
 
-**衷心感謝我們的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett) 和我們的手繪筆記藝術家 [Nitya Narasimhan](https://github.com/nitya)。**
+**特別感謝我們的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett)，以及我們的手繪筆記藝術家 [Nitya Narasimhan](https://github.com/nitya)。**
 
-**同時感謝我們的 [Microsoft Learn 學生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他們已經審核並翻譯了這份課程——[Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、以及 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
+**同時感謝我們的 [Microsoft Learn 學生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他們審核並翻譯了這份課程 - [Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、以及 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
 
-認識團隊！
+來認識一下我們的團隊吧！
 
 [![宣傳影片](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
@@ -55,11 +60,11 @@ Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24
 
 > 🎥 點擊上方圖片觀看專案介紹影片！
 
-> **教師們**，我們提供了一些[建議](for-teachers.md)來幫助您使用這份課程。如果您想創建自己的課程，我們也提供了[課程模板](lesson-template/README.md)。
+> **教師們**，我們提供了一些[建議](for-teachers.md)來幫助你使用這份課程。如果你想創建自己的課程，我們也提供了一個[課程模板](lesson-template/README.md)。
 
-> **[學生們](https://aka.ms/student-page)**，如果您想自行使用這份課程，請分叉整個儲存庫並自行完成練習，從課前測驗開始，然後閱讀課程並完成其他活動。嘗試透過理解課程內容來創建專案，而不是直接複製解決方案程式碼；不過，該程式碼可在每個專案導向課程的 /solutions 資料夾中找到。另一個想法是與朋友組成學習小組，一起學習內容。若需進一步學習，我們推薦 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
+> **[學生們](https://aka.ms/student-page)**，如果你想自行使用這份課程，請分叉整個儲存庫並自行完成練習，從課前測驗開始，然後閱讀課程內容並完成其他活動。嘗試通過理解課程內容來創建專案，而不是直接複製解決方案代碼；不過，解決方案代碼可以在每個專案課程的 /solutions 資料夾中找到。另一個建議是與朋友組成學習小組，一起學習內容。進一步學習的話，我們推薦 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
 
-觀看課程概述影片，請查看以下影片：
+想了解這門課程的概況，請觀看以下影片：
 
 [![宣傳影片](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "宣傳影片")
 
@@ -67,75 +72,74 @@ Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24
 
 ## 教學法
 
-我們在設計這份課程時選擇了兩個教學原則：確保它是專案導向的，並且包含頻繁的測驗。在這系列課程結束時，學生將建構一個植物監測和灌溉系統、一個車輛追蹤器、一個智慧工廠設置來追蹤和檢查食物，以及一個語音控制的烹飪計時器，並學習 IoT 的基礎知識，包括如何撰寫設備程式碼、連接雲端、分析遙測數據以及在邊緣執行 AI。
+在設計這份課程時，我們選擇了兩個教學原則：確保它是專案導向的，並且包含頻繁的測驗。到本系列結束時，學生將完成一個植物監測和澆水系統、一個車輛追蹤器、一個智慧工廠系統來追蹤和檢查食品，以及一個語音控制的烹飪計時器，並學習物聯網的基礎知識，包括如何編寫設備代碼、連接雲端、分析遙測數據以及在邊緣運行 AI。
 
-透過確保內容與專案相符，學習過程對學生來說更具吸引力，概念的記憶也會得到增強。
+通過確保內容與專案相符，學習過程對學生來說更具吸引力，並能增強概念的記憶。
 
-此外，課前的低壓測驗能讓學生專注於學習主題，而課後的第二次測驗則能進一步加強記憶。這份課程設計靈活有趣，可以完整學習或部分學習。專案從簡單開始，並在 12 週的課程結束時逐漸變得複雜。
+此外，課前的低壓力測驗可以讓學生專注於學習主題，而課後的測驗則進一步鞏固記憶。這份課程設計靈活有趣，可以整體學習，也可以部分學習。專案從簡單開始，到 12 週結束時逐漸變得複雜。
 
-每個專案都基於學生和愛好者可用的真實硬體。每個專案都深入探討特定的專案領域，提供相關背景知識。要成為成功的開發者，了解您正在解決問題的領域是很有幫助的，提供這些背景知識能讓學生在解決 IoT 問題時，將所學內容應用於可能面臨的真實世界問題。學生能學到他們所建構解決方案的「原因」，並對最終使用者有更深的理解。
+每個專案都基於學生和愛好者可獲得的真實硬體。每個專案都深入探討特定的專案領域，提供相關的背景知識。成為一名成功的開發者需要了解你正在解決問題的領域，提供這些背景知識可以讓學生在解決物聯網問題時，將學到的知識應用於真實世界的問題中。學生學習他們正在構建的解決方案的“原因”，並對最終用戶有更深的理解。
 
 ## 硬體
 
-我們提供了兩種 IoT 硬體選擇，供專案使用，取決於個人偏好、程式語言知識或偏好、學習目標和可用性。我們還提供了「虛擬硬體」版本，供那些無法獲得硬體或想在購買前進一步學習的人使用。您可以在[硬體頁面](./hardware.md)上找到更多資訊和「購物清單」，其中包括我們合作夥伴 Seeed Studio 提供的完整套件購買連結。
+我們為專案提供了兩種物聯網硬體選擇，取決於個人偏好、程式語言知識或偏好、學習目標和可用性。我們還提供了“虛擬硬體”版本，適合那些無法獲得硬體或想在購買前學習更多內容的人。你可以在[硬體頁面](./hardware.md)上找到更多資訊和“購物清單”，包括我們的合作夥伴 Seeed Studio 提供的完整套件購買連結。
 
-> 💁 查看我們的 [行為準則](CODE_OF_CONDUCT.md)、[貢獻指南](CONTRIBUTING.md) 和 [翻譯指南](TRANSLATIONS.md)。我們歡迎您的建設性意見！
+> 💁 查看我們的 [行為準則](CODE_OF_CONDUCT.md)、[貢獻指南](CONTRIBUTING.md) 和 [翻譯指南](TRANSLATIONS.md)。我們歡迎你的建設性反饋！
 
 ## 每節課包含：
 
-- 手繪筆記
-- 可選的補充影片
-- 課前暖身測驗
-- 書面課程
-- 專案導向課程的逐步建構指南
-- 知識檢查
-- 挑戰
-- 補充閱讀
-- 作業
-- [課後測驗](https://ff-quizzes.netlify.app/en/)
-
-> **關於測驗的說明**：所有測驗都包含在 quiz-app 資料夾中，共有 48 個測驗，每個測驗包含三個問題。它們在課程中有連結，但測驗應用程式可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示進行操作。這些測驗正在逐步本地化。
+- 手繪筆記  
+- 可選的補充影片  
+- 課前熱身測驗  
+- 書面課程  
+- 專案課程的逐步建置指南  
+- 知識檢查  
+- 挑戰  
+- 補充閱讀  
+- 作業  
+- [課後測驗](https://ff-quizzes.netlify.app/en/)  
+> **關於測驗的提示**：所有測驗都包含在 quiz-app 資料夾中，共有 48 個測驗，每個測驗包含三個問題。這些測驗已在課程中連結，但測驗應用程式可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示進行操作。測驗內容正在逐步本地化。
 
 ## 課程
 
-|       |              專案名稱              |                       教學概念                       | 學習目標                                                                                                                                                 |                                                        課程連結                                                         |
+|       |              專案名稱              |                       教授概念                       | 學習目標                                                                                                                                                 |                                                        相關課程                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [開始使用](./1-getting-started/README.md) |                     物聯網簡介                     | 學習物聯網的基本原則以及物聯網解決方案的基本構建模塊，例如感測器和雲端服務，同時設置您的第一個物聯網設備 |                      [物聯網簡介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [開始使用](./1-getting-started/README.md) |                   深入了解物聯網                    | 更深入了解物聯網系統的組成部分，以及微控制器和單板電腦                                                            |                        [深入了解物聯網](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [開始使用](./1-getting-started/README.md) | 使用感測器和執行器與物理世界互動 | 學習如何使用感測器收集物理世界的數據，以及使用執行器提供反饋，同時製作一個夜燈                                           | [使用感測器和執行器與物理世界互動](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [開始使用](./1-getting-started/README.md) |             將您的設備連接到互聯網             | 學習如何將物聯網設備連接到互聯網以發送和接收消息，通過將您的夜燈連接到MQTT代理                               |               [將您的設備連接到互聯網](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  01   | [入門](./1-getting-started/README.md) |                     物聯網簡介                     | 學習物聯網的基本原則以及物聯網解決方案的基本組成部分，例如感應器和雲端服務，同時設置您的第一個物聯網設備 |                      [物聯網簡介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [入門](./1-getting-started/README.md) |                   深入了解物聯網                    | 更深入了解物聯網系統的組成部分，以及微控制器和單板電腦                                                            |                        [深入了解物聯網](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [入門](./1-getting-started/README.md) | 使用感應器和執行器與物理世界互動 | 學習如何使用感應器從物理世界收集數據，以及使用執行器發送反饋，同時製作一個夜燈                                           | [使用感應器和執行器與物理世界互動](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [入門](./1-getting-started/README.md) |             將您的設備連接到互聯網             | 學習如何將物聯網設備連接到互聯網以發送和接收訊息，通過將您的夜燈連接到 MQTT broker                               |               [將您的設備連接到互聯網](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [農場](./2-farm/README.md)            |                    預測植物生長                     | 學習如何使用物聯網設備捕獲的溫度數據來預測植物生長                                                                                  |                          [預測植物生長](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [農場](./2-farm/README.md)            |                    檢測土壤濕度                     | 學習如何檢測土壤濕度並校準土壤濕度感測器                                                                                              |                          [檢測土壤濕度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [農場](./2-farm/README.md)            |                  自動植物澆水                   | 學習如何使用繼電器和MQTT自動化和定時澆水                                                                                                      |                      [自動植物澆水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [農場](./2-farm/README.md)            |               將您的植物遷移到雲端               | 學習雲端和雲端托管的物聯網服務，以及如何將您的植物連接到其中之一，而不是公共MQTT代理                                   |               [將您的植物遷移到雲端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [農場](./2-farm/README.md)            |         將您的應用邏輯遷移到雲端         | 學習如何在雲端編寫應用邏輯以響應物聯網消息                                                                          |         [將您的應用邏輯遷移到雲端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [農場](./2-farm/README.md)            |                   保護您的植物安全                    | 學習物聯網安全性以及如何使用密鑰和證書保護您的植物                                                                          |                        [保護您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [運輸](./3-transport/README.md)       |                      位置追蹤                      | 學習物聯網設備的GPS位置追蹤                                                                                                                   |                           [位置追蹤](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [運輸](./3-transport/README.md)       |                     存儲位置數據                     | 學習如何存儲物聯網數據以供日後可視化或分析                                                                                                      |                         [存儲位置數據](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  06   |            [農場](./2-farm/README.md)            |                    檢測土壤濕度                     | 學習如何檢測土壤濕度並校準土壤濕度感應器                                                                                              |                          [檢測土壤濕度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [農場](./2-farm/README.md)            |                  自動化植物澆水                   | 學習如何使用繼電器和 MQTT 自動化和定時澆水                                                                                                      |                      [自動化植物澆水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [農場](./2-farm/README.md)            |               將您的植物遷移到雲端               | 學習雲端和雲端託管的物聯網服務，以及如何將您的植物連接到這些服務，而不是公共 MQTT broker                                   |               [將您的植物遷移到雲端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [農場](./2-farm/README.md)            |         將您的應用程式邏輯遷移到雲端         | 學習如何在雲端撰寫應用程式邏輯以回應物聯網訊息                                                                          |         [將您的應用程式邏輯遷移到雲端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [農場](./2-farm/README.md)            |                   保護您的植物安全                    | 學習物聯網的安全性以及如何使用密鑰和證書保護您的植物                                                                          |                        [保護您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [運輸](./3-transport/README.md)       |                      位置追蹤                      | 學習物聯網設備的 GPS 位置追蹤                                                                                                                   |                           [位置追蹤](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [運輸](./3-transport/README.md)       |                     儲存位置數據                     | 學習如何儲存物聯網數據以便稍後進行可視化或分析                                                                                                      |                         [儲存位置數據](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [運輸](./3-transport/README.md)       |                   可視化位置數據                   | 學習如何在地圖上可視化位置數據，以及地圖如何將真實的三維世界表示為二維                                                            |                     [可視化位置數據](./3-transport/lessons/3-visualize-location-data/README.md)                     |
 |  14   |       [運輸](./3-transport/README.md)       |                          地理圍欄                          | 學習地理圍欄，以及如何使用它們在供應鏈中的車輛接近目的地時發出警報                                           |                                   [地理圍欄](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [製造業](./4-manufacturing/README.md)   |               訓練水果品質檢測器                | 學習如何在雲端訓練圖像分類器以檢測水果品質                                                                                       |                 [訓練水果品質檢測器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [製造業](./4-manufacturing/README.md)   |           從物聯網設備檢查水果品質            | 學習如何從物聯網設備使用您的水果品質檢測器                                                                                                    |           [從物聯網設備檢查水果品質](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [製造業](./4-manufacturing/README.md)   |             在邊緣運行您的水果檢測器             | 學習如何在邊緣的物聯網設備上運行您的水果檢測器                                                                                                |             [在邊緣運行您的水果檢測器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [製造業](./4-manufacturing/README.md)   |        從感測器觸發水果品質檢測        | 學習如何從感測器觸發水果品質檢測                                                                                                        |        [從感測器觸發水果品質檢測](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  15   |   [製造](./4-manufacturing/README.md)   |               訓練水果品質檢測器                | 學習如何在雲端訓練圖像分類器以檢測水果品質                                                                                       |                 [訓練水果品質檢測器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [製造](./4-manufacturing/README.md)   |           從物聯網設備檢查水果品質            | 學習如何從物聯網設備使用您的水果品質檢測器                                                                                                    |           [從物聯網設備檢查水果品質](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [製造](./4-manufacturing/README.md)   |             在邊緣運行您的水果檢測器             | 學習如何在邊緣的物聯網設備上運行您的水果檢測器                                                                                                |             [在邊緣運行您的水果檢測器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [製造](./4-manufacturing/README.md)   |        從感應器觸發水果品質檢測        | 學習如何從感應器觸發水果品質檢測                                                                                                        |        [從感應器觸發水果品質檢測](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [零售](./5-retail/README.md)          |                   訓練庫存檢測器                    | 學習如何使用物件檢測訓練庫存檢測器以計算商店中的庫存                                                                                |                        [訓練庫存檢測器](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [零售](./5-retail/README.md)          |               從物聯網設備檢查庫存                | 學習如何使用物件檢測模型從物聯網設備檢查庫存                                                                                         |                     [從物聯網設備檢查庫存](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [消費者](./6-consumer/README.md)        |             使用物聯網設備進行語音識別             | 學習如何從物聯網設備進行語音識別以製作智能計時器                                                                                             |                  [使用物聯網設備進行語音識別](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  21   |        [消費者](./6-consumer/README.md)        |             使用物聯網設備識別語音             | 學習如何從物聯網設備識別語音以構建智能計時器                                                                                             |                  [使用物聯網設備識別語音](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [消費者](./6-consumer/README.md)        |                     理解語言                     | 學習如何理解對物聯網設備說出的句子                                                                                                           |                        [理解語言](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [消費者](./6-consumer/README.md)        |           設置計時器並提供語音反饋           | 學習如何在物聯網設備上設置計時器，並在計時器設置和完成時提供語音反饋                                                    |                 [設置計時器並提供語音反饋](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
 |  24   |        [消費者](./6-consumer/README.md)        |                 支援多種語言                  | 學習如何支援多種語言，包括對智能計時器的語音輸入和回應                                                               |                   [支援多種語言](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
-## 離線存取
+## 離線訪問
 
-您可以使用 [Docsify](https://docsify.js.org/#/) 離線運行此文件。請分叉此倉庫，在您的本地機器上[安裝 Docsify](https://docsify.js.org/#/quickstart)，然後在此倉庫的根目錄中輸入 `docsify serve`。網站將在您的本地主機的3000端口上提供服務：`localhost:3000`。
+您可以使用 [Docsify](https://docsify.js.org/#/) 離線運行此文檔。Fork 此 repo，然後在本地機器上[安裝 Docsify](https://docsify.js.org/#/quickstart)，接著在此 repo 的根目錄中輸入 `docsify serve`。網站將在本地端的 3000 埠上提供服務：`localhost:3000`。
 
 ## 測驗
 
-感謝社群提供互動測驗，測試您對每章內容的了解。您可以在[這裡](https://ff-quizzes.netlify.app/en/)測試您的知識。
+感謝社群提供的互動測驗，測試您對每章內容的理解。您可以在[這裡](https://ff-quizzes.netlify.app/en/)測試您的知識。
 
 ### PDF
 
-如果需要，您可以生成此內容的PDF以供離線存取。為此，請確保您已[安裝 npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)，並在此倉庫的根目錄中運行以下命令：
+如果需要，您可以生成此內容的 PDF 以供離線訪問。為此，請確保您已[安裝 npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)，然後在此 repo 的根目錄中運行以下命令：
 
 ```sh
 npm i
@@ -144,48 +148,52 @@ npm run convert
 
 ### 投影片
 
-部分課程的投影片位於[slides](../../slides)文件夾中。
+部分課程的投影片可在 [slides](../../slides) 資料夾中找到。
 
 ## 其他課程
 
-我們的團隊還製作了其他課程！查看以下內容：
+我們的團隊還製作了其他課程！請查看：
 
 ### Azure / Edge / MCP / Agents
-[![AZD 初學者指南](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI 初學者指南](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP 初學者指南](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents 初學者指南](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### 生成式 AI 系列
-[![生成式 AI 初學者指南](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![生成式 AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![生成式 AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![生成式 AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### 核心學習
-[![ML 初學者](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![資料科學初學者](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI 初學者](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![網絡安全初學者](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web 開發初學者](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT 初學者](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR 開發初學者](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的機器學習](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的數據科學](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的人工智能](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的網絡安全](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![初學者的網頁開發](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的物聯網](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![初學者的XR開發](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot 系列  
-[![Copilot AI 配對編程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot 冒險](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot 系列
+[![Copilot 用於AI配對編程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot 用於C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot 冒險](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
+
+## 圖片來源
 
-## 圖片來源  
-您可以在 [Attributions](./attributions.md) 中找到本課程中使用的所有圖片的來源（如有需要）。  
+您可以在[來源](./attributions.md)中找到本課程中使用的所有圖片的來源。
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **免責聲明**：  
-此文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們努力確保準確性，但請注意，自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵信息，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
\ No newline at end of file
+此文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原文文件作為權威來源。對於關鍵資訊，建議尋求專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/mr/README.md b/translations/mr/README.md
index 3d6868170..ad3841d38 100644
--- a/translations/mr/README.md
+++ b/translations/mr/README.md
@@ -1,142 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:04:14+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:29:23+00:00",
   "source_file": "README.md",
   "language_code": "mr"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Azure AI Foundry समुदायामध्ये सामील व्हा 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Azure AI Foundry समुदायामध्ये सामील व्हा  
 
-या संसाधनांचा वापर सुरू करण्यासाठी खालील चरणांचे अनुसरण करा:
-1. **रेपॉजिटरी फोर्क करा**: क्लिक करा [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **रेपॉजिटरी क्लोन करा**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord मध्ये सामील व्हा आणि तज्ञ व इतर विकसकांशी भेटा**](https://discord.com/invite/ByRwuEEgH4)
+जर तुम्हाला अडचण आली किंवा AI अॅप्स तयार करण्याबद्दल काही प्रश्न असतील, तर MCP बद्दल चर्चा करण्यासाठी शिकणारे आणि अनुभवी डेव्हलपर्स यांच्यासोबत सामील व्हा. हा एक सहायक समुदाय आहे जिथे प्रश्न विचारले जातात आणि ज्ञान मुक्तपणे सामायिक केले जाते.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 बहुभाषिक समर्थन
+जर तुम्हाला उत्पादनाबद्दल अभिप्राय द्यायचा असेल किंवा तयार करताना काही त्रुटी आढळल्या तर येथे भेट द्या:  
 
-#### GitHub Action द्वारे समर्थित (स्वयंचलित आणि नेहमी अद्ययावत)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](./README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+या संसाधनांचा वापर सुरू करण्यासाठी खालील चरणांचे अनुसरण करा:  
+1. **रेपॉजिटरी फोर्क करा**: क्लिक करा [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **रेपॉजिटरी क्लोन करा**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Microsoft Foundry Discord मध्ये सामील व्हा आणि तज्ञ व इतर डेव्हलपर्सना भेटा**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT for Beginners - एक अभ्यासक्रम
+### 🌐 बहुभाषिक समर्थन  
 
-Microsoft मधील Azure Cloud Advocates तुम्हाला IoT मूलभूत गोष्टींबद्दल 12 आठवड्यांचा, 24 धड्यांचा अभ्यासक्रम सादर करत आहेत. प्रत्येक धड्यात प्री- आणि पोस्ट-लेसन क्विझ, धडा पूर्ण करण्यासाठी लेखी सूचना, एक उपाय, एक असाइनमेंट आणि बरेच काही समाविष्ट आहे. आमच्या प्रकल्प-आधारित शिक्षण पद्धतीमुळे तुम्हाला शिकताना तयार करण्याची संधी मिळते, जी नवीन कौशल्ये आत्मसात करण्याचा सिद्ध मार्ग आहे.
+#### GitHub Action द्वारे समर्थित (स्वयंचलित आणि नेहमी अद्ययावत)  
 
-प्रकल्प अन्नाचा प्रवास शेतातून टेबलपर्यंत कव्हर करतात. यामध्ये शेती, लॉजिस्टिक्स, उत्पादन, किरकोळ विक्री आणि ग्राहक - IoT उपकरणांसाठी सर्व लोकप्रिय उद्योग क्षेत्रांचा समावेश आहे.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](./README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![कोर्ससाठी रोड मॅप दाखवणारा 24 धड्यांचा आढावा ज्यामध्ये परिचय, शेती, वाहतूक, प्रक्रिया, किरकोळ विक्री आणि स्वयंपाक यांचा समावेश आहे](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.mr.jpg)
+# IoT for Beginners - अभ्यासक्रम  
 
-> [नित्य नरसिंहन](https://github.com/nitya) यांचे स्केच नोट. मोठ्या आवृत्तीसाठी प्रतिमेवर क्लिक करा.
+Microsoft मधील Azure Cloud Advocates तुम्हाला IoT मूलभूत गोष्टींबद्दल 12 आठवड्यांचा, 24 धड्यांचा अभ्यासक्रम सादर करताना आनंदित आहेत. प्रत्येक धड्यात धड्यापूर्वी आणि नंतरचे क्विझ, धडा पूर्ण करण्यासाठी लेखी सूचना, एक उपाय, एक असाइनमेंट आणि बरेच काही समाविष्ट आहे. आमच्या प्रकल्प-आधारित पद्धतीमुळे तुम्हाला शिकता शिकता तयार करता येते, ही नवीन कौशल्ये आत्मसात करण्याचा सिद्ध मार्ग आहे.  
 
-**आमच्या लेखकांचे मनःपूर्वक आभार [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), आणि आमचे स्केच नोट कलाकार [नित्य नरसिंहन](https://github.com/nitya).**
+प्रकल्प अन्नाच्या शेतातून टेबलपर्यंतच्या प्रवासाचे वर्णन करतात. यामध्ये शेती, लॉजिस्टिक्स, उत्पादन, किरकोळ विक्री आणि ग्राहक यांचा समावेश आहे - IoT उपकरणांसाठी लोकप्रिय उद्योग क्षेत्रे.  
 
-**तसेच आमच्या [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) टीमचे आभार ज्यांनी या अभ्यासक्रमाचे पुनरावलोकन आणि भाषांतर केले आहे - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), आणि [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![कोर्ससाठी रोड मॅप दाखवणारा 24 धड्यांचा नकाशा ज्यामध्ये परिचय, शेती, वाहतूक, प्रक्रिया, किरकोळ विक्री आणि स्वयंपाक यांचा समावेश आहे](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.mr.jpg)  
 
-टीमला भेटा!
+> स्केच नोट [नित्या नरसिंहन](https://github.com/nitya) यांच्याकडून. मोठ्या आवृत्तीसाठी प्रतिमेवर क्लिक करा.  
 
-[![प्रोमो व्हिडिओ](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**आमच्या लेखकांचे मनःपूर्वक आभार [जेन फॉक्स](https://github.com/jenfoxbot), [जेन लूपर](https://github.com/jlooper), [जिम बेनेट](https://github.com/jimbobbennett), आणि आमच्या स्केच नोट कलाकार [नित्या नरसिंहन](https://github.com/nitya).**  
 
-**Gif द्वारे** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**तसेच आमच्या [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) टीमचे आभार ज्यांनी हा अभ्यासक्रम पुनरावलोकन केला आणि भाषांतरित केला - [आदित्य गर्ग](https://github.com/AdityaGarg00), [अनुराग शर्मा](https://github.com/Anurag-0-1-A), [अर्पिता दास](https://github.com/Arpiiitaaa), [आर्यन जैन](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [भावेश सुनेजा](https://github.com/EliteWarrior315), [फेथ हुंजा](https://faithhunja.github.io/), [लतीफा बेलो](https://www.linkedin.com/in/lateefah-bello/), [मानवी झा](https://github.com/Severus-Matthew), [मिरेइल टॅन](https://www.linkedin.com/in/mireille-tan-a4834819a/), [मोहम्मद इफ्तेखेर (इफ्तू) एब्ने जलाल](https://github.com/Iftu119), [मोहम्मद झुल्फिकार](https://github.com/mohzulfikar), [प्रियांशु श्रीवास्तव](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [थनमाई गौडुचेरुवू](https://github.com/innovation-platform), आणि [झिना कामेल](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 वरच्या प्रतिमेवर क्लिक करा प्रकल्पाबद्दल व्हिडिओसाठी!
+टीमला भेटा!  
 
-> **शिक्षक**, आम्ही [काही सूचना समाविष्ट केल्या आहेत](for-teachers.md) या अभ्यासक्रमाचा वापर कसा करायचा. तुम्हाला स्वतःचे धडे तयार करायचे असल्यास, आम्ही [धडा टेम्पलेट](lesson-template/README.md) देखील समाविष्ट केले आहे.
+[![प्रोमो व्हिडिओ](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[विद्यार्थी](https://aka.ms/student-page)**, स्वतः हा अभ्यासक्रम वापरण्यासाठी, संपूर्ण रेपॉजिटरी फोर्क करा आणि स्वतःच व्यायाम पूर्ण करा, प्री-लेक्चर क्विझने सुरुवात करा, नंतर लेक्चर वाचा आणि उर्वरित क्रियाकलाप पूर्ण करा. धड्यांमधील संकल्पना समजून प्रकल्प तयार करण्याचा प्रयत्न करा, समाधान कोड कॉपी करण्याऐवजी; तथापि तो कोड प्रत्येक प्रकल्प-आधारित धड्याच्या /solutions फोल्डरमध्ये उपलब्ध आहे. आणखी एक कल्पना म्हणजे मित्रांसोबत अभ्यास गट तयार करणे आणि एकत्र सामग्रीचा अभ्यास करणे. पुढील अभ्यासासाठी, आम्ही [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) ची शिफारस करतो.
+**Gif द्वारे** [मोहित जैसल](https://linkedin.com/in/mohitjaisal)  
 
-या कोर्सचा व्हिडिओ आढावा पाहण्यासाठी, हा व्हिडिओ पहा:
+> 🎥 वरील प्रतिमेवर क्लिक करा आणि प्रकल्पाबद्दल व्हिडिओ पहा!  
 
-[![प्रोमो व्हिडिओ](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "प्रोमो व्हिडिओ")
+> **शिक्षकांनो**, आम्ही या अभ्यासक्रमाचा वापर कसा करायचा याबद्दल [काही सूचना समाविष्ट केल्या आहेत](for-teachers.md). जर तुम्हाला स्वतःचे धडे तयार करायचे असतील, तर आम्ही [धडा टेम्पलेट](lesson-template/README.md) देखील समाविष्ट केले आहे.  
 
-> 🎥 वरच्या प्रतिमेवर क्लिक करा प्रकल्पाबद्दल व्हिडिओसाठी!
+> **[विद्यार्थ्यांनो](https://aka.ms/student-page)**, हा अभ्यासक्रम स्वतः वापरण्यासाठी, संपूर्ण रेपॉजिटरी फोर्क करा आणि स्वतःच सराव करा. प्री-लेक्चर क्विझपासून सुरुवात करा, नंतर लेक्चर वाचा आणि उर्वरित क्रियाकलाप पूर्ण करा. धड्यांमधून समजून प्रकल्प तयार करण्याचा प्रयत्न करा, फक्त सोल्यूशन कोड कॉपी करू नका; तथापि, तो कोड प्रत्येक प्रकल्प-आधारित धड्याच्या /solutions फोल्डरमध्ये उपलब्ध आहे. आणखी एक कल्पना म्हणजे मित्रांसोबत अभ्यास गट तयार करणे आणि एकत्रितपणे सामग्री शिकणे. पुढील अभ्यासासाठी, आम्ही [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) ची शिफारस करतो.  
 
-## शिक्षण पद्धती
+या कोर्सचा व्हिडिओ आढावा पाहण्यासाठी, हा व्हिडिओ पहा:  
 
-आम्ही हा अभ्यासक्रम तयार करताना दोन शिक्षण पद्धती निवडल्या आहेत: प्रकल्प-आधारित सुनिश्चित करणे आणि वारंवार क्विझ समाविष्ट करणे. या मालिकेच्या शेवटी, विद्यार्थ्यांनी वनस्पती निरीक्षण आणि पाणी देण्याची प्रणाली, वाहन ट्रॅकर, अन्न ट्रॅक आणि तपासण्यासाठी स्मार्ट फॅक्टरी सेटअप आणि व्हॉइस-कंट्रोल स्वयंपाक टाइमर तयार केला असेल आणि इंटरनेट ऑफ थिंग्सच्या मूलभूत गोष्टी शिकल्या असतील ज्यामध्ये डिव्हाइस कोड लिहिणे, क्लाउडशी कनेक्ट करणे, टेलिमेट्रीचे विश्लेषण करणे आणि एआय ऑन द एज चालवणे यांचा समावेश आहे.
+[![प्रोमो व्हिडिओ](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "प्रोमो व्हिडिओ")  
 
-सामग्री प्रकल्पांशी संरेखित असल्याचे सुनिश्चित करून, विद्यार्थ्यांसाठी प्रक्रिया अधिक आकर्षक बनते आणि संकल्पनांचे टिकाव वाढतो.
+> 🎥 वरील प्रतिमेवर क्लिक करा आणि प्रकल्पाबद्दल व्हिडिओ पहा!  
 
-याशिवाय, वर्गाच्या आधी कमी दबावाचा क्विझ विद्यार्थ्याला विषय शिकण्याच्या उद्देशाने सेट करतो, तर वर्गानंतरचा दुसरा क्विझ आणखी टिकाव सुनिश्चित करतो. हा अभ्यासक्रम लवचिक आणि मजेदार बनवण्यासाठी डिझाइन केला गेला आहे आणि संपूर्ण किंवा अंशतः घेतला जाऊ शकतो. प्रकल्प लहान सुरू होतात आणि 12 आठवड्यांच्या चक्राच्या शेवटी अधिकाधिक जटिल बनतात.
+## शिक्षण पद्धती  
 
-प्रत्येक प्रकल्प विद्यार्थ्यांना आणि हौशी लोकांना उपलब्ध असलेल्या वास्तविक हार्डवेअरवर आधारित आहे. प्रत्येक प्रकल्प विशिष्ट प्रकल्प डोमेनमध्ये पाहतो, संबंधित पार्श्वभूमी ज्ञान प्रदान करतो. यशस्वी विकसक होण्यासाठी तुम्ही ज्या डोमेनमध्ये समस्या सोडवत आहात ते समजून घेणे उपयुक्त ठरते, हे पार्श्वभूमी ज्ञान विद्यार्थ्यांना त्यांच्या IoT सोल्यूशन्स आणि शिकवणींना IoT विकसक म्हणून त्यांना सोडवायच्या असलेल्या प्रकारच्या वास्तविक समस्यांच्या संदर्भात विचार करण्यास अनुमती देते. विद्यार्थ्यांना ते तयार करत असलेल्या सोल्यूशन्सचे 'का' समजते आणि अंतिम वापरकर्त्याचे कौतुक मिळते.
+हा अभ्यासक्रम तयार करताना आम्ही दोन शिक्षण पद्धती निवडल्या आहेत: प्रकल्प-आधारित शिक्षण सुनिश्चित करणे आणि वारंवार क्विझ समाविष्ट करणे. या मालिकेच्या शेवटी, विद्यार्थ्यांनी एक वनस्पती निरीक्षण आणि पाणी देणारी प्रणाली, वाहन ट्रॅकर, अन्न तपासण्यासाठी आणि ट्रॅक करण्यासाठी स्मार्ट फॅक्टरी सेटअप, आणि व्हॉइस-कंट्रोल्ड कुकिंग टाइमर तयार केले असेल. तसेच, त्यांनी IoT च्या मूलभूत गोष्टी शिकल्या असतील जसे की डिव्हाइस कोड लिहिणे, क्लाउडशी कनेक्ट करणे, टेलिमेट्रीचे विश्लेषण करणे आणि एआय ऑन द एज चालवणे.  
 
-## हार्डवेअर
+प्रकल्पांशी संरेखित सामग्री सुनिश्चित करून, प्रक्रिया विद्यार्थ्यांसाठी अधिक आकर्षक बनते आणि संकल्पनांची आठवण वाढते.  
 
-प्रकल्पांसाठी IoT हार्डवेअरच्या दोन निवडी आहेत, वैयक्तिक प्राधान्य, प्रोग्रामिंग भाषा ज्ञान किंवा प्राधान्ये, शिकण्याचे उद्दिष्ट आणि उपलब्धता यावर अवलंबून. ज्यांना हार्डवेअर उपलब्ध नाही किंवा खरेदी करण्यापूर्वी अधिक शिकायचे आहे त्यांच्यासाठी आम्ही 'व्हर्च्युअल हार्डवेअर' आवृत्ती देखील प्रदान केली आहे. तुम्ही [हार्डवेअर पृष्ठावर](./hardware.md) अधिक वाचू शकता आणि आमच्या मित्रांकडून संपूर्ण किट खरेदी करण्यासाठी दुवे शोधू शकता Seeed Studio.
+याशिवाय, वर्गापूर्वीचा कमी-जोखमीचा क्विझ विद्यार्थ्याला विषय शिकण्याच्या उद्देशाने तयार करतो, तर वर्गानंतरचा दुसरा क्विझ अधिक आठवण सुनिश्चित करतो. हा अभ्यासक्रम लवचिक आणि मजेदार बनवण्यासाठी डिझाइन केला गेला आहे आणि तो पूर्ण किंवा अंशतः घेतला जाऊ शकतो. प्रकल्प लहान सुरू होतात आणि 12 आठवड्यांच्या चक्राच्या शेवटी अधिकाधिक जटिल होतात.  
 
-> 💁 आमचा [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), आणि [Translation](TRANSLATIONS.md) मार्गदर्शक शोधा. आम्ही तुमच्या रचनात्मक अभिप्रायाचे स्वागत करतो!
+प्रत्येक प्रकल्प वास्तविक हार्डवेअरवर आधारित आहे जे विद्यार्थ्यांना आणि हौशी लोकांना उपलब्ध आहे. प्रत्येक प्रकल्प विशिष्ट प्रकल्प डोमेनमध्ये डोकावतो, संबंधित पार्श्वभूमी ज्ञान प्रदान करतो. यशस्वी डेव्हलपर होण्यासाठी, तुम्ही ज्या डोमेनमध्ये समस्या सोडवत आहात ते समजून घेणे उपयुक्त ठरते. हे पार्श्वभूमी ज्ञान विद्यार्थ्यांना त्यांच्या IoT सोल्यूशन्स आणि शिकवणींना IoT डेव्हलपर म्हणून त्यांना सोडवायच्या असलेल्या वास्तविक समस्यांच्या संदर्भात विचार करण्यास अनुमती देते. विद्यार्थ्यांना ते तयार करत असलेल्या सोल्यूशन्सचे 'का' समजते आणि अंतिम वापरकर्त्याचे कौतुक मिळते.  
 
-## प्रत्येक धड्यात समाविष्ट आहे:
+## हार्डवेअर  
 
-- स्केच नोट
-- पर्यायी पूरक व्हिडिओ
-- प्री-लेसन वॉर्मअप क्विझ
-- लेखी धडा
-- प्रकल्प-आधारित धड्यांसाठी, प्रकल्प कसा तयार करायचा याबद्दल चरण-दर-चरण मार्गदर्शक
-- ज्ञान तपासणी
-- एक आव्हान
-- पूरक वाचन
-- असाइनमेंट
-- [पोस्ट-लेसन क्विझ](https://ff-quizzes.netlify.app/en/)
+प्रकल्पांसाठी IoT हार्डवेअरच्या दोन निवडी आहेत, वैयक्तिक प्राधान्य, प्रोग्रामिंग भाषा ज्ञान किंवा प्राधान्ये, शिकण्याचे उद्दिष्ट आणि उपलब्धता यावर अवलंबून. ज्यांना हार्डवेअर उपलब्ध नाही किंवा खरेदी करण्यापूर्वी अधिक शिकायचे आहे त्यांच्यासाठी आम्ही 'व्हर्च्युअल हार्डवेअर' आवृत्ती देखील प्रदान केली आहे. तुम्ही [हार्डवेअर पृष्ठावर](./hardware.md) अधिक वाचू शकता आणि 'शॉपिंग लिस्ट' शोधू शकता, ज्यामध्ये आमच्या मित्रांकडून संपूर्ण किट खरेदी करण्यासाठी दुवे समाविष्ट आहेत.  
 
-> **क्विझबद्दल एक टीप**: सर्व क्विझ quiz-app फोल्डरमध्ये समाविष्ट आहेत, प्रत्येक तीन प्रश्नांसाठी 48 एकूण क्विझ. ते धड्यांमधून लिंक केलेले आहेत परंतु quiz app स्थानिकरित्या चालवले जाऊ शकते किंवा Azure वर तैनात केले जाऊ शकते; `quiz-app` फोल्डरमधील सूचनांचे अनुसरण करा. ते हळूहळू स्थानिकीकृत केले जात आहेत.
+> 💁 आमचा [आचारसंहिता](CODE_OF_CONDUCT.md), [योगदान](CONTRIBUTING.md), आणि [भाषांतर](TRANSLATIONS.md) मार्गदर्शक शोधा. आम्ही तुमच्या रचनात्मक अभिप्रायाचे स्वागत करतो!  
+
+## प्रत्येक धड्यात समाविष्ट आहे:  
+
+- स्केच नोट  
+- ऐच्छिक पूरक व्हिडिओ  
+- धड्यापूर्वीचा वॉर्मअप क्विझ  
+- लेखी धडा  
+- प्रकल्प-आधारित धड्यांसाठी, प्रकल्प कसा तयार करायचा याबद्दल चरण-दर-चरण मार्गदर्शक  
+- ज्ञान तपासणी  
+- एक आव्हान  
+- पूरक वाचन  
+- असाइनमेंट  
+- [धड्यानंतरचा क्विझ](https://ff-quizzes.netlify.app/en/)  
+> **क्विझेसबद्दल एक टीप**: सर्व क्विझेस `quiz-app` फोल्डरमध्ये आहेत, ज्यामध्ये प्रत्येकी तीन प्रश्न असलेल्या एकूण 48 क्विझेस आहेत. त्या धड्यांमधून लिंक केल्या आहेत, परंतु क्विझ अॅप स्थानिक पातळीवर चालवता येतो किंवा Azure वर डिप्लॉय करता येतो; `quiz-app` फोल्डरमधील सूचनांचे अनुसरण करा. त्या हळूहळू स्थानिक भाषांमध्ये अनुवादित केल्या जात आहेत.
 
 ## धडे
 
-|       |              प्रकल्पाचे नाव              |                       शिकवलेले संकल्पना                       | शिकण्याचे उद्दिष्ट                                                                                                                                                 |                                                        लिंक केलेला धडा                                                         |
+|       |              प्रकल्पाचे नाव              |                       शिकवले जाणारे संकल्पना                       | शिकण्याचे उद्दिष्टे                                                                                                                                                 |                                                        संबंधित धडा                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [सुरुवात करा](./1-getting-started/README.md) |                     IoT ची ओळख                     | IoT च्या मूलभूत तत्त्वांबद्दल आणि IoT सोल्यूशन्सचे मूलभूत घटक जसे की सेन्सर्स आणि क्लाउड सेवा शिकत असताना तुमचे पहिले IoT डिव्हाइस सेट अप करा |                      [IoT ची ओळख](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [सुरुवात करा](./1-getting-started/README.md) |                   IoT मध्ये सखोल अभ्यास                    | IoT प्रणालीचे घटक तसेच मायक्रोकंट्रोलर्स आणि सिंगल-बोर्ड संगणकांबद्दल अधिक जाणून घ्या                                                            |                        [IoT मध्ये सखोल अभ्यास](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [सुरुवात करा](./1-getting-started/README.md) | सेन्सर्स आणि अ‍ॅक्च्युएटर्ससह भौतिक जगाशी संवाद साधा | भौतिक जगातून डेटा गोळा करण्यासाठी सेन्सर्स आणि फीडबॅक पाठवण्यासाठी अ‍ॅक्च्युएटर्सबद्दल जाणून घ्या, यासोबतच तुम्ही नाईटलाइट तयार करा                                           | [सेन्सर्स आणि अ‍ॅक्च्युएटर्ससह भौतिक जगाशी संवाद साधा](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [सुरुवात करा](./1-getting-started/README.md) |             तुमचे डिव्हाइस इंटरनेटला कनेक्ट करा             | IoT डिव्हाइसला इंटरनेटशी कसे कनेक्ट करायचे याबद्दल जाणून घ्या, संदेश पाठवण्यासाठी आणि प्राप्त करण्यासाठी तुमचे नाईटलाइट MQTT ब्रोकरशी कनेक्ट करा                               |               [तुमचे डिव्हाइस इंटरनेटला कनेक्ट करा](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [शेती](./2-farm/README.md)            |                    वनस्पतींच्या वाढीचा अंदाज लावा                     | IoT डिव्हाइसद्वारे कॅप्चर केलेल्या तापमान डेटा वापरून वनस्पतींच्या वाढीचा अंदाज कसा लावायचा ते शिका                                                                                  |                          [वनस्पतींच्या वाढीचा अंदाज लावा](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [शेती](./2-farm/README.md)            |                    मातीतील आर्द्रता शोधा                     | मातीतील आर्द्रता कशी शोधायची आणि मातीतील आर्द्रता सेन्सर कॅलिब्रेट कसा करायचा ते शिका                                                                                              |                          [मातीतील आर्द्रता शोधा](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [शेती](./2-farm/README.md)            |                  वनस्पतींचे पाणी देणे स्वयंचलित करा                   | रिले आणि MQTT वापरून पाणी देणे स्वयंचलित आणि वेळेवर कसे करायचे ते शिका                                                                                                      |                      [वनस्पतींचे पाणी देणे स्वयंचलित करा](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [शेती](./2-farm/README.md)            |               तुमची वनस्पती क्लाउडवर हलवा               | क्लाउड आणि क्लाउड-होस्ट केलेल्या IoT सेवांबद्दल जाणून घ्या आणि तुमची वनस्पती सार्वजनिक MQTT ब्रोकरऐवजी यापैकी एका सेवेशी कशी जोडायची ते शिका                                   |               [तुमची वनस्पती क्लाउडवर हलवा](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [शेती](./2-farm/README.md)            |         तुमचे अ‍ॅप्लिकेशन लॉजिक क्लाउडवर हलवा         | IoT संदेशांना प्रतिसाद देणारे अ‍ॅप्लिकेशन लॉजिक क्लाउडमध्ये कसे लिहायचे ते शिका                                                                          |         [तुमचे अ‍ॅप्लिकेशन लॉजिक क्लाउडवर हलवा](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [शेती](./2-farm/README.md)            |                   तुमची वनस्पती सुरक्षित ठेवा                    | IoT सह सुरक्षा आणि तुमची वनस्पती कीज आणि प्रमाणपत्रांसह सुरक्षित कशी ठेवायची ते शिका                                                                          |                        [तुमची वनस्पती सुरक्षित ठेवा](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [वाहतूक](./3-transport/README.md)       |                      स्थान ट्रॅकिंग                      | IoT डिव्हाइससाठी GPS स्थान ट्रॅकिंगबद्दल शिका                                                                                                                   |                           [स्थान ट्रॅकिंग](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [वाहतूक](./3-transport/README.md)       |                     स्थान डेटा संग्रहित करा                     | IoT डेटा कसा संग्रहित करायचा जेणेकरून नंतर व्हिज्युअलाइज किंवा विश्लेषण करता येईल                                                                                                      |                         [स्थान डेटा संग्रहित करा](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [वाहतूक](./3-transport/README.md)       |                   स्थान डेटा व्हिज्युअलाइज करा                   | नकाशावर स्थान डेटा व्हिज्युअलाइज कसा करायचा आणि नकाशे 3D जगाला 2D मध्ये कसे दर्शवतात ते शिका                                                            |                     [स्थान डेटा व्हिज्युअलाइज करा](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [वाहतूक](./3-transport/README.md)       |                          जिओफेन्सेस                          | जिओफेन्सेसबद्दल शिका आणि पुरवठा साखळीतील वाहने त्यांच्या गंतव्यस्थानाजवळ असल्यावर सतर्कतेसाठी त्यांचा कसा उपयोग करता येईल                                           |                                   [जिओफेन्सेस](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [उत्पादन](./4-manufacturing/README.md)   |               फळांच्या गुणवत्तेचा डिटेक्टर तयार करा                | क्लाउडमध्ये इमेज क्लासिफायर प्रशिक्षण देऊन फळांची गुणवत्ता कशी शोधायची ते शिका                                                                                       |                 [फळांच्या गुणवत्तेचा डिटेक्टर तयार करा](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [उत्पादन](./4-manufacturing/README.md)   |           IoT डिव्हाइसवरून फळांची गुणवत्ता तपासा            | IoT डिव्हाइसवरून तुमच्या फळांच्या गुणवत्तेचा डिटेक्टर कसा वापरायचा ते शिका                                                                                                    |           [IoT डिव्हाइसवरून फळांची गुणवत्ता तपासा](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [उत्पादन](./4-manufacturing/README.md)   |             तुमचा फळांचा डिटेक्टर एजवर चालवा             | एजवरील IoT डिव्हाइसवर तुमचा फळांचा डिटेक्टर कसा चालवायचा ते शिका                                                                                                |             [तुमचा फळांचा डिटेक्टर एजवर चालवा](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [उत्पादन](./4-manufacturing/README.md)   |        सेन्सरवरून फळांची गुणवत्ता शोधण्याची प्रक्रिया सुरू करा        | सेन्सरवरून फळांची गुणवत्ता शोधण्याची प्रक्रिया कशी सुरू करायची ते शिका                                                                                                        |        [सेन्सरवरून फळांची गुणवत्ता शोधण्याची प्रक्रिया सुरू करा](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [खरेदी](./5-retail/README.md)          |                   स्टॉक डिटेक्टर तयार करा                    | दुकानातील स्टॉक मोजण्यासाठी ऑब्जेक्ट डिटेक्शन वापरून स्टॉक डिटेक्टर कसा प्रशिक्षण द्यायचा ते शिका                                                                                |                        [स्टॉक डिटेक्टर तयार करा](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [खरेदी](./5-retail/README.md)          |               IoT डिव्हाइसवरून स्टॉक तपासा                | ऑब्जेक्ट डिटेक्शन मॉडेल वापरून IoT डिव्हाइसवरून स्टॉक कसा तपासायचा ते शिका                                                                                         |                     [IoT डिव्हाइसवरून स्टॉक तपासा](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [ग्राहक](./6-consumer/README.md)        |             IoT डिव्हाइससह भाषण ओळखा             | स्मार्ट टाइमर तयार करण्यासाठी IoT डिव्हाइसवरून भाषण कसे ओळखायचे ते शिका                                                                                             |                  [IoT डिव्हाइससह भाषण ओळखा](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [ग्राहक](./6-consumer/README.md)        |                     भाषा समजून घ्या                     | IoT डिव्हाइसला बोललेल्या वाक्यांचा अर्थ कसा समजायचा ते शिका                                                                                                           |                        [भाषा समजून घ्या](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [ग्राहक](./6-consumer/README.md)        |           टाइमर सेट करा आणि बोलून फीडबॅक द्या           | IoT डिव्हाइसवर टाइमर कसा सेट करायचा आणि टाइमर सेट केव्हा झाला आणि संपल्यावर बोलून फीडबॅक कसा द्यायचा ते शिका                                                    |                 [टाइमर सेट करा आणि बोलून फीडबॅक द्या](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [ग्राहक](./6-consumer/README.md)        |                 अनेक भाषांचे समर्थन करा                  | तुमच्या स्मार्ट टाइमरला बोलल्या जाणाऱ्या आणि प्रतिसाद देणाऱ्या अनेक भाषांचे समर्थन कसे करायचे ते शिका                                                               |                   [अनेक भाषांचे समर्थन करा](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  01   | [सुरुवात करणे](./1-getting-started/README.md) |                     IoT ची ओळख                     | IoT चे मूलभूत तत्त्वे आणि IoT सोल्यूशन्सचे मूलभूत घटक जसे की सेन्सर्स आणि क्लाउड सेवा शिकणे, तसेच तुमचे पहिले IoT डिव्हाइस सेट करताना शिकणे |                      [IoT ची ओळख](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [सुरुवात करणे](./1-getting-started/README.md) |                   IoT मध्ये सखोल अभ्यास                    | IoT प्रणालीचे घटक, तसेच मायक्रोकंट्रोलर्स आणि सिंगल-बोर्ड संगणकांबद्दल अधिक जाणून घ्या                                                            |                        [IoT मध्ये सखोल अभ्यास](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [सुरुवात करणे](./1-getting-started/README.md) | सेन्सर्स आणि अॅक्च्युएटर्ससह भौतिक जगाशी संवाद साधा | भौतिक जगातून डेटा गोळा करण्यासाठी सेन्सर्सबद्दल आणि फीडबॅक पाठवण्यासाठी अॅक्च्युएटर्सबद्दल जाणून घ्या, तसेच तुम्ही नाईटलाइट तयार करताना शिकणे                                           | [सेन्सर्स आणि अॅक्च्युएटर्ससह भौतिक जगाशी संवाद साधा](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [सुरुवात करणे](./1-getting-started/README.md) |             तुमचे डिव्हाइस इंटरनेटशी जोडा             | IoT डिव्हाइसला इंटरनेटशी जोडून संदेश पाठवणे आणि प्राप्त करणे कसे शिकावे, MQTT ब्रोकरशी तुमचे नाईटलाइट कनेक्ट करताना शिकणे                               |               [तुमचे डिव्हाइस इंटरनेटशी जोडा](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [शेती](./2-farm/README.md)            |                    वनस्पतींची वाढ भाकीत करा                     | IoT डिव्हाइसद्वारे कॅप्चर केलेल्या तापमान डेटा वापरून वनस्पतींची वाढ कशी भाकीत करावी ते शिकणे                                                                                  |                          [वनस्पतींची वाढ भाकीत करा](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [शेती](./2-farm/README.md)            |                    मातीतील ओलावा शोधा                     | मातीतील ओलावा कसा शोधायचा आणि मातीतील ओलावा सेन्सर कसा कॅलिब्रेट करायचा ते शिकणे                                                                                              |                          [मातीतील ओलावा शोधा](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [शेती](./2-farm/README.md)            |                  वनस्पतींचे पाणी देणे स्वयंचलित करा                   | रिले आणि MQTT वापरून पाणी देणे स्वयंचलित आणि वेळेवर कसे करावे ते शिकणे                                                                                                      |                      [वनस्पतींचे पाणी देणे स्वयंचलित करा](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [शेती](./2-farm/README.md)            |               तुमची वनस्पती क्लाउडवर हलवा               | क्लाउड आणि क्लाउड-होस्टेड IoT सेवा याबद्दल जाणून घ्या आणि सार्वजनिक MQTT ब्रोकरऐवजी तुमची वनस्पती यापैकी एका सेवेशी कशी जोडायची ते शिकणे                                   |               [तुमची वनस्पती क्लाउडवर हलवा](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [शेती](./2-farm/README.md)            |         तुमचे अॅप्लिकेशन लॉजिक क्लाउडवर हलवा         | IoT संदेशांना प्रतिसाद देणारे अॅप्लिकेशन लॉजिक क्लाउडमध्ये कसे लिहायचे ते शिकणे                                                                          |         [तुमचे अॅप्लिकेशन लॉजिक क्लाउडवर हलवा](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [शेती](./2-farm/README.md)            |                   तुमची वनस्पती सुरक्षित ठेवा                    | IoT सह सुरक्षा आणि तुमची वनस्पती कीज आणि प्रमाणपत्रांसह सुरक्षित कशी ठेवायची ते शिकणे                                                                          |                        [तुमची वनस्पती सुरक्षित ठेवा](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [वाहतूक](./3-transport/README.md)       |                      स्थान ट्रॅकिंग                      | IoT डिव्हाइससाठी GPS स्थान ट्रॅकिंगबद्दल जाणून घ्या                                                                                                                   |                           [स्थान ट्रॅकिंग](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [वाहतूक](./3-transport/README.md)       |                     स्थान डेटा साठवा                     | IoT डेटा कसा साठवायचा जेणेकरून नंतर त्याचे व्हिज्युअलायझेशन किंवा विश्लेषण करता येईल                                                                                                      |                         [स्थान डेटा साठवा](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [वाहतूक](./3-transport/README.md)       |                   स्थान डेटा व्हिज्युअलायझ करा                   | नकाशावर स्थान डेटा व्हिज्युअलायझ कसे करायचे, आणि नकाशे 3D जगाला 2D मध्ये कसे दर्शवतात ते शिकणे                                                            |                     [स्थान डेटा व्हिज्युअलायझ करा](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [वाहतूक](./3-transport/README.md)       |                          जिओफेन्सेस                          | जिओफेन्सेसबद्दल जाणून घ्या, आणि पुरवठा साखळीतील वाहने त्यांच्या गंतव्यस्थानाजवळ असताना अलर्ट कसे करायचे ते शिकणे                                           |                                   [जिओफेन्सेस](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [उत्पादन](./4-manufacturing/README.md)   |               फळांची गुणवत्ता शोधक तयार करा                | फळांची गुणवत्ता शोधण्यासाठी क्लाउडमध्ये इमेज क्लासिफायर कसा प्रशिक्षण द्यायचा ते शिकणे                                                                                       |                 [फळांची गुणवत्ता शोधक तयार करा](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [उत्पादन](./4-manufacturing/README.md)   |           IoT डिव्हाइसवरून फळांची गुणवत्ता तपासा            | IoT डिव्हाइसवरून तुमच्या फळांची गुणवत्ता शोधक कसा वापरायचा ते शिकणे                                                                                                    |           [IoT डिव्हाइसवरून फळांची गुणवत्ता तपासा](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [उत्पादन](./4-manufacturing/README.md)   |             तुमचा फळ शोधक एजवर चालवा             | एजवरील IoT डिव्हाइसवर तुमचा फळ शोधक कसा चालवायचा ते शिकणे                                                                                                |             [तुमचा फळ शोधक एजवर चालवा](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [उत्पादन](./4-manufacturing/README.md)   |        सेन्सरद्वारे फळांची गुणवत्ता शोध ट्रिगर करा        | सेन्सरद्वारे फळांची गुणवत्ता शोध कसा ट्रिगर करायचा ते शिकणे                                                                                                        |        [सेन्सरद्वारे फळांची गुणवत्ता शोध ट्रिगर करा](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [रिटेल](./5-retail/README.md)          |                   स्टॉक शोधक तयार करा                    | दुकानातील स्टॉक मोजण्यासाठी ऑब्जेक्ट डिटेक्शन वापरून स्टॉक शोधक कसा प्रशिक्षण द्यायचा ते शिकणे                                                                                |                        [स्टॉक शोधक तयार करा](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [रिटेल](./5-retail/README.md)          |               IoT डिव्हाइसवरून स्टॉक तपासा                | ऑब्जेक्ट डिटेक्शन मॉडेल वापरून IoT डिव्हाइसवरून स्टॉक कसा तपासायचा ते शिकणे                                                                                         |                     [IoT डिव्हाइसवरून स्टॉक तपासा](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [ग्राहक](./6-consumer/README.md)        |             IoT डिव्हाइससह भाषण ओळखा             | स्मार्ट टाइमर तयार करण्यासाठी IoT डिव्हाइसवरून भाषण कसे ओळखायचे ते शिकणे                                                                                             |                  [IoT डिव्हाइससह भाषण ओळखा](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [ग्राहक](./6-consumer/README.md)        |                     भाषा समजून घ्या                     | IoT डिव्हाइसला बोललेल्या वाक्यांचा अर्थ कसा समजायचा ते शिकणे                                                                                                           |                        [भाषा समजून घ्या](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [ग्राहक](./6-consumer/README.md)        |           टाइमर सेट करा आणि बोलून फीडबॅक द्या           | IoT डिव्हाइसवर टाइमर कसा सेट करायचा आणि टाइमर सेट केव्हा झाला आणि संपला तेव्हा बोलून फीडबॅक कसा द्यायचा ते शिकणे                                                    |                 [टाइमर सेट करा आणि बोलून फीडबॅक द्या](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [ग्राहक](./6-consumer/README.md)        |                 अनेक भाषा समर्थित करा                  | तुमच्या स्मार्ट टाइमरला बोलल्या जाणाऱ्या आणि प्रतिसाद देणाऱ्या अनेक भाषा कशा समर्थित करायच्या ते शिकणे                                                               |                   [अनेक भाषा समर्थित करा](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## ऑफलाइन प्रवेश
 
-तुम्ही [Docsify](https://docsify.js.org/#/) वापरून ही दस्तऐवज ऑफलाइन चालवू शकता. या रेपोला फोर्क करा, तुमच्या स्थानिक मशीनवर [Docsify इंस्टॉल करा](https://docsify.js.org/#/quickstart), आणि मग या रेपोच्या रूट फोल्डरमध्ये `docsify serve` टाइप करा. वेबसाइट तुमच्या लोकलहोस्टवर पोर्ट 3000 वर चालवली जाईल: `localhost:3000`.
+तुम्ही [Docsify](https://docsify.js.org/#/) वापरून हे दस्तऐवजीकरण ऑफलाइन चालवू शकता. हे रेपो फोर्क करा, तुमच्या स्थानिक मशीनवर [Docsify इंस्टॉल करा](https://docsify.js.org/#/quickstart), आणि नंतर या रेपोच्या रूट फोल्डरमध्ये `docsify serve` टाइप करा. वेबसाइट तुमच्या लोकलहोस्टवर पोर्ट 3000 वर चालवली जाईल: `localhost:3000`.
 
 ## क्विझ
 
-प्रत्येक अध्यायावर तुमचे ज्ञान तपासण्यासाठी समुदायाने होस्ट केलेल्या इंटरॅक्टिव क्विझसाठी धन्यवाद. तुम्ही तुमचे ज्ञान [इथे](https://ff-quizzes.netlify.app/en/) तपासू शकता.
+प्रत्येक अध्यायावरील तुमचे ज्ञान तपासण्यासाठी इंटरॅक्टिव्ह क्विझ होस्ट केल्याबद्दल समुदायाचे आभार. तुम्ही तुमचे ज्ञान [इथे तपासा](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-तुम्हाला ऑफलाइन प्रवेशासाठी या सामग्रीचा PDF तयार करायचा असल्यास, [npm इंस्टॉल केले आहे](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) याची खात्री करा आणि या रेपोच्या रूट फोल्डरमध्ये खालील कमांड्स चालवा:
+जर गरज असेल तर तुम्ही या सामग्रीचा PDF ऑफलाइन प्रवेशासाठी तयार करू शकता. हे करण्यासाठी, खात्री करा की तुमच्याकडे [npm इंस्टॉल केलेले आहे](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) आणि या रेपोच्या रूट फोल्डरमध्ये खालील कमांड्स चालवा:
 
 ```sh
 npm i
@@ -145,12 +150,12 @@ npm run convert
 
 ### स्लाइड्स
 
-काही धड्यांसाठी [slides](../../slides) फोल्डरमध्ये स्लाइड डेक्स आहेत.
+काही धड्यांसाठी [slides](../../slides) फोल्डरमध्ये स्लाइड डेक्स उपलब्ध आहेत.
 
 
 ## इतर अभ्यासक्रम
 
-आमची टीम इतर अभ्यासक्रम तयार करते! पहा:
+आमची टीम इतर अभ्यासक्रम तयार करते! तपासा:
 
 ### Azure / Edge / MCP / Agents
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -160,14 +165,14 @@ npm run convert
 
 ---
  
-### जनरेटिव AI मालिका
+### जनरेटिव्ह AI मालिका
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![जनरेटिव AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### मुख्य शिक्षण
 [![सुरुवातीसाठी मशीन लर्निंग](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![सुरुवातीसाठी डेटा सायन्स](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
@@ -183,6 +188,7 @@ npm run convert
 [![AI सह जोडप्याने प्रोग्रामिंगसाठी कोपायलट](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
 [![C#/.NET साठी कोपायलट](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
 [![कोपायलट साहस](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
 ## प्रतिमांचे श्रेय
 
@@ -190,5 +196,7 @@ npm run convert
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **अस्वीकरण**:  
-हा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून भाषांतरित करण्यात आला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपयास लक्षात ठेवा की स्वयंचलित भाषांतरे त्रुटी किंवा अचूकतेच्या अभावासह असू शकतात. मूळ भाषेतील दस्तऐवज हा अधिकृत स्रोत मानला जावा. महत्त्वाच्या माहितीसाठी, व्यावसायिक मानवी भाषांतराची शिफारस केली जाते. या भाषांतराचा वापर करून उद्भवलेल्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थासाठी आम्ही जबाबदार नाही.
\ No newline at end of file
+हा दस्तऐवज AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून अनुवादित केला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपयाआहे की स्वयंचलित अनुवादांमध्ये चुका किंवा अचूकतेचा अभाव असू शकतो. मूळ भाषेतील मूळ दस्तऐवज हा अधिकृत स्रोत मानला जावा. महत्त्वाच्या माहितीसाठी व्यावसायिक मानवी अनुवादाची शिफारस केली जाते. या अनुवादाचा वापर करून उद्भवलेल्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थासाठी आम्ही जबाबदार राहणार नाही.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ms/README.md b/translations/ms/README.md
index 78f493d16..c8835f057 100644
--- a/translations/ms/README.md
+++ b/translations/ms/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:18:38+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:56:21+00:00",
   "source_file": "README.md",
   "language_code": "ms"
 }
@@ -17,33 +17,38 @@ CO_OP_TRANSLATOR_METADATA:
 [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
 [![Bintang GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Sertai Komuniti Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Sertai Komuniti Azure AI Foundry
+
+Jika anda menghadapi kesukaran atau mempunyai soalan tentang membina aplikasi AI, sertai pelajar lain dan pembangun berpengalaman dalam perbincangan tentang MCP. Ia adalah komuniti yang menyokong di mana soalan dialu-alukan dan pengetahuan dikongsi secara bebas.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Jika anda mempunyai maklum balas produk atau menghadapi ralat semasa membina, lawati:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 Ikuti langkah-langkah ini untuk mula menggunakan sumber ini:
 1. **Fork Repositori**: Klik [![Fork GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone Repositori**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Sertai Discord Azure AI Foundry dan berhubung dengan pakar serta pembangun lain**](https://discord.com/invite/ByRwuEEgH4)
+2. **Klon Repositori**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Sertai Microsoft Foundry Discord dan temui pakar serta pembangun lain**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Sokongan Pelbagai Bahasa
 
 #### Disokong melalui GitHub Action (Automatik & Sentiasa Terkini)
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Cina (Ringkas)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Macau)](../mo/README.md) | [Cina (Tradisional, Taiwan)](../tw/README.md) | [Croatia](../hr/README.md) | [Czech](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finland](../fi/README.md) | [Perancis](../fr/README.md) | [Jerman](../de/README.md) | [Greek](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hungary](../hu/README.md) | [Indonesia](../id/README.md) | [Itali](../it/README.md) | [Jepun](../ja/README.md) | [Korea](../ko/README.md) | [Lithuania](../lt/README.md) | [Melayu](./README.md) | [Marathi](../mr/README.md) | [Nepal](../ne/README.md) | [Norway](../no/README.md) | [Parsi (Farsi)](../fa/README.md) | [Poland](../pl/README.md) | [Portugis (Brazil)](../br/README.md) | [Portugis (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenia](../sl/README.md) | [Sepanyol](../es/README.md) | [Swahili](../sw/README.md) | [Sweden](../sv/README.md) | [Tagalog (Filipina)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turki](../tr/README.md) | [Ukraine](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](./README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
 
 # IoT untuk Pemula - Kurikulum
 
-Azure Cloud Advocates di Microsoft dengan bangga menawarkan kurikulum 12 minggu, 24 pelajaran tentang asas IoT. Setiap pelajaran termasuk kuiz sebelum dan selepas pelajaran, arahan bertulis untuk melengkapkan pelajaran, penyelesaian, tugasan dan banyak lagi. Pedagogi berasaskan projek kami membolehkan anda belajar sambil membina, cara yang terbukti untuk menguasai kemahiran baru.
+Azure Cloud Advocates di Microsoft dengan sukacitanya menawarkan kurikulum 12 minggu, 24 pelajaran tentang asas IoT. Setiap pelajaran termasuk kuiz sebelum dan selepas pelajaran, arahan bertulis untuk melengkapkan pelajaran, penyelesaian, tugasan dan banyak lagi. Pedagogi berasaskan projek kami membolehkan anda belajar sambil membina, cara yang terbukti untuk kemahiran baharu 'melekat'.
 
-Projek-projek ini merangkumi perjalanan makanan dari ladang ke meja. Ini termasuk pertanian, logistik, pembuatan, runcit dan pengguna - semua bidang industri yang popular untuk peranti IoT.
+Projek-projek ini merangkumi perjalanan makanan dari ladang ke meja. Ini termasuk pertanian, logistik, pembuatan, runcit dan pengguna - semua bidang industri popular untuk peranti IoT.
 
-![Peta jalan untuk kursus menunjukkan 24 pelajaran yang merangkumi pengenalan, pertanian, pengangkutan, pemprosesan, runcit dan memasak](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ms.jpg)
+![Peta jalan untuk kursus menunjukkan 24 pelajaran meliputi pengenalan, pertanian, pengangkutan, pemprosesan, runcit dan memasak](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ms.jpg)
 
 > Sketchnote oleh [Nitya Narasimhan](https://github.com/nitya). Klik imej untuk versi yang lebih besar.
 
-**Terima kasih yang tulus kepada penulis kami [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), dan artis sketchnote kami [Nitya Narasimhan](https://github.com/nitya).**
+**Terima kasih yang tidak terhingga kepada penulis kami [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), dan artis sketchnote kami [Nitya Narasimhan](https://github.com/nitya).**
 
 **Terima kasih juga kepada pasukan [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) yang telah menyemak dan menterjemah kurikulum ini - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), dan [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
@@ -55,9 +60,9 @@ Kenali pasukan!
 
 > 🎥 Klik imej di atas untuk video tentang projek ini!
 
-> **Guru**, kami telah [menyertakan beberapa cadangan](for-teachers.md) tentang cara menggunakan kurikulum ini. Jika anda ingin mencipta pelajaran anda sendiri, kami juga telah menyertakan [templat pelajaran](lesson-template/README.md).
+> **Guru**, kami telah [menyediakan beberapa cadangan](for-teachers.md) tentang cara menggunakan kurikulum ini. Jika anda ingin mencipta pelajaran anda sendiri, kami juga telah menyediakan [templat pelajaran](lesson-template/README.md).
 
-> **[Pelajar](https://aka.ms/student-page)**, untuk menggunakan kurikulum ini secara individu, fork keseluruhan repo dan lengkapkan latihan secara sendiri, bermula dengan kuiz pra-kuliah, kemudian membaca kuliah dan melengkapkan aktiviti lain. Cuba bina projek dengan memahami pelajaran daripada menyalin kod penyelesaian; walau bagaimanapun kod tersebut tersedia dalam folder /solutions dalam setiap pelajaran berorientasikan projek. Idea lain adalah membentuk kumpulan belajar dengan rakan-rakan dan melalui kandungan bersama-sama. Untuk kajian lanjut, kami mengesyorkan [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Pelajar](https://aka.ms/student-page)**, untuk menggunakan kurikulum ini secara individu, fork keseluruhan repo dan lengkapkan latihan secara sendiri, bermula dengan kuiz pra-kuliah, kemudian membaca kuliah dan melengkapkan aktiviti lain. Cuba bina projek dengan memahami pelajaran daripada menyalin kod penyelesaian; walau bagaimanapun, kod tersebut tersedia dalam folder /solutions dalam setiap pelajaran berorientasikan projek. Idea lain adalah untuk membentuk kumpulan belajar dengan rakan-rakan dan melalui kandungan bersama-sama. Untuk kajian lanjut, kami mengesyorkan [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
 Untuk gambaran keseluruhan video tentang kursus ini, lihat video ini:
 
@@ -67,19 +72,19 @@ Untuk gambaran keseluruhan video tentang kursus ini, lihat video ini:
 
 ## Pedagogi
 
-Kami telah memilih dua prinsip pedagogi semasa membina kurikulum ini: memastikan ia berasaskan projek dan termasuk kuiz yang kerap. Menjelang akhir siri ini, pelajar akan membina sistem pemantauan dan penyiraman tumbuhan, penjejak kenderaan, persediaan kilang pintar untuk menjejak dan memeriksa makanan, serta pemasa memasak yang dikawal suara, dan akan mempelajari asas-asas Internet of Things termasuk cara menulis kod peranti, menyambung ke awan, menganalisis telemetri dan menjalankan AI di hujung.
+Kami telah memilih dua prinsip pedagogi semasa membina kurikulum ini: memastikan ia berasaskan projek dan termasuk kuiz yang kerap. Menjelang akhir siri ini, pelajar akan membina sistem pemantauan dan penyiraman tumbuhan, penjejak kenderaan, tetapan kilang pintar untuk menjejak dan memeriksa makanan, dan pemasa memasak yang dikawal suara, serta mempelajari asas-asas Internet of Things termasuk cara menulis kod peranti, menyambung ke awan, menganalisis telemetri dan menjalankan AI di tepi.
 
-Dengan memastikan kandungan selaras dengan projek, proses pembelajaran menjadi lebih menarik bagi pelajar dan pengekalan konsep akan dipertingkatkan.
+Dengan memastikan kandungan sejajar dengan projek, proses ini menjadi lebih menarik untuk pelajar dan pengekalan konsep akan ditingkatkan.
 
 Selain itu, kuiz berisiko rendah sebelum kelas menetapkan niat pelajar untuk mempelajari topik, manakala kuiz kedua selepas kelas memastikan pengekalan lebih lanjut. Kurikulum ini direka untuk fleksibel dan menyeronokkan dan boleh diambil secara keseluruhan atau sebahagian. Projek bermula kecil dan menjadi semakin kompleks menjelang akhir kitaran 12 minggu.
 
-Setiap projek berdasarkan perkakasan dunia nyata yang tersedia untuk pelajar dan penggemar. Setiap projek melihat ke dalam domain projek tertentu, menyediakan pengetahuan latar belakang yang relevan. Untuk menjadi pembangun yang berjaya, adalah berguna untuk memahami domain di mana anda menyelesaikan masalah, menyediakan pengetahuan latar belakang ini membolehkan pelajar memikirkan penyelesaian IoT mereka dan pembelajaran dalam konteks jenis masalah dunia nyata yang mungkin diminta untuk diselesaikan sebagai pembangun IoT. Pelajar mempelajari 'mengapa' penyelesaian yang mereka bina, dan mendapat penghargaan terhadap pengguna akhir.
+Setiap projek berdasarkan perkakasan dunia sebenar yang tersedia untuk pelajar dan penggemar. Setiap projek melihat ke dalam domain projek tertentu, menyediakan pengetahuan latar belakang yang relevan. Untuk menjadi pembangun yang berjaya, adalah berguna untuk memahami domain di mana anda menyelesaikan masalah, menyediakan pengetahuan latar belakang ini membolehkan pelajar memikirkan penyelesaian IoT mereka dan pembelajaran dalam konteks jenis masalah dunia sebenar yang mungkin diminta untuk diselesaikan sebagai pembangun IoT. Pelajar mempelajari 'mengapa' penyelesaian yang mereka bina, dan mendapat penghargaan terhadap pengguna akhir.
 
 ## Perkakasan
 
-Kami mempunyai dua pilihan perkakasan IoT untuk digunakan dalam projek bergantung pada pilihan peribadi, pengetahuan atau keutamaan bahasa pengaturcaraan, matlamat pembelajaran dan ketersediaan. Kami juga telah menyediakan versi 'perkakasan maya' untuk mereka yang tidak mempunyai akses kepada perkakasan, atau ingin belajar lebih banyak sebelum membuat pembelian. Anda boleh membaca lebih lanjut dan mencari 'senarai belanja' di [halaman perkakasan](./hardware.md), termasuk pautan untuk membeli kit lengkap daripada rakan kami di Seeed Studio.
+Kami mempunyai dua pilihan perkakasan IoT untuk digunakan dalam projek bergantung pada pilihan peribadi, pengetahuan bahasa pengaturcaraan atau keutamaan, matlamat pembelajaran dan ketersediaan. Kami juga telah menyediakan versi 'perkakasan maya' untuk mereka yang tidak mempunyai akses kepada perkakasan, atau ingin belajar lebih banyak sebelum membuat pembelian. Anda boleh membaca lebih lanjut dan mencari 'senarai belian' di [halaman perkakasan](./hardware.md), termasuk pautan untuk membeli kit lengkap daripada rakan kami di Seeed Studio.
 
-> 💁 Cari [Kod Etika](CODE_OF_CONDUCT.md), [Menyumbang](CONTRIBUTING.md), dan garis panduan [Terjemahan](TRANSLATIONS.md). Kami mengalu-alukan maklum balas membina anda!
+> 💁 Temui [Kod Etika](CODE_OF_CONDUCT.md), [Penyumbangan](CONTRIBUTING.md), dan panduan [Terjemahan](TRANSLATIONS.md) kami. Kami mengalu-alukan maklum balas membina anda!
 
 ## Setiap pelajaran termasuk:
 
@@ -88,46 +93,45 @@ Kami mempunyai dua pilihan perkakasan IoT untuk digunakan dalam projek bergantun
 - kuiz pemanasan sebelum pelajaran
 - pelajaran bertulis
 - untuk pelajaran berasaskan projek, panduan langkah demi langkah tentang cara membina projek
-- pemeriksaan pengetahuan
+- semakan pengetahuan
 - cabaran
 - bacaan tambahan
 - tugasan
 - [kuiz selepas pelajaran](https://ff-quizzes.netlify.app/en/)
-
-> **Nota tentang kuiz**: Semua kuiz terkandung dalam folder quiz-app, untuk sejumlah 48 kuiz dengan tiga soalan setiap satu. Ia dihubungkan dari dalam pelajaran tetapi aplikasi kuiz boleh dijalankan secara tempatan atau dikerahkan ke Azure; ikuti arahan dalam folder `quiz-app`. Ia secara beransur-ansur sedang dilokalkan.
+> **Nota tentang kuiz**: Semua kuiz terdapat dalam folder quiz-app, dengan jumlah keseluruhan 48 kuiz yang masing-masing mempunyai tiga soalan. Kuiz ini dihubungkan dari dalam pelajaran tetapi aplikasi kuiz boleh dijalankan secara tempatan atau diterapkan ke Azure; ikuti arahan dalam folder `quiz-app`. Kuiz ini sedang dilokalkan secara beransur-ansur.
 
 ## Pelajaran
 
-|       |              Nama Projek              |                       Konsep yang Diajarkan                       | Objektif Pembelajaran                                                                                                                                                 |                                                        Pautan Pelajaran                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Memulakan](./1-getting-started/README.md) |                     Pengenalan kepada IoT                     | Pelajari prinsip asas IoT dan komponen asas penyelesaian IoT seperti sensor dan perkhidmatan awan sambil anda menyediakan peranti IoT pertama anda |                      [Pengenalan kepada IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Memulakan](./1-getting-started/README.md) |                   Penyelidikan mendalam tentang IoT                    | Ketahui lebih lanjut tentang komponen sistem IoT, serta mikropengawal dan komputer papan tunggal                                                            |                        [Penyelidikan mendalam tentang IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Memulakan](./1-getting-started/README.md) | Berinteraksi dengan dunia fizikal menggunakan sensor dan penggerak | Ketahui tentang sensor untuk mengumpul data dari dunia fizikal, dan penggerak untuk memberikan maklum balas, sambil anda membina lampu malam                                           | [Berinteraksi dengan dunia fizikal menggunakan sensor dan penggerak](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Memulakan](./1-getting-started/README.md) |             Sambungkan peranti anda ke Internet             | Ketahui cara menyambungkan peranti IoT ke Internet untuk menghantar dan menerima mesej dengan menyambungkan lampu malam anda ke broker MQTT                               |               [Sambungkan peranti anda ke Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Pertanian](./2-farm/README.md)            |                    Ramalkan pertumbuhan tanaman                     | Ketahui cara meramalkan pertumbuhan tanaman menggunakan data suhu yang ditangkap oleh peranti IoT                                                                                  |                          [Ramalkan pertumbuhan tanaman](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Pertanian](./2-farm/README.md)            |                    Kesan kelembapan tanah                     | Ketahui cara mengesan kelembapan tanah dan menentukur sensor kelembapan tanah                                                                                              |                          [Kesan kelembapan tanah](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Pertanian](./2-farm/README.md)            |                  Penyiraman tanaman automatik                   | Ketahui cara mengautomasi dan menjadualkan penyiraman menggunakan relay dan MQTT                                                                                                      |                      [Penyiraman tanaman automatik](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Pertanian](./2-farm/README.md)            |               Migrasikan tanaman anda ke awan               | Ketahui tentang awan dan perkhidmatan IoT yang dihoskan di awan serta cara menyambungkan tanaman anda ke salah satu daripadanya dan bukannya broker MQTT awam                                   |               [Migrasikan tanaman anda ke awan](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Pertanian](./2-farm/README.md)            |         Migrasikan logik aplikasi anda ke awan         | Ketahui cara anda boleh menulis logik aplikasi di awan yang bertindak balas kepada mesej IoT                                                                          |         [Migrasikan logik aplikasi anda ke awan](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Pertanian](./2-farm/README.md)            |                   Pastikan tanaman anda selamat                    | Ketahui tentang keselamatan dengan IoT dan cara memastikan tanaman anda selamat dengan kunci dan sijil                                                                          |                        [Pastikan tanaman anda selamat](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Pengangkutan](./3-transport/README.md)       |                      Penjejakan lokasi                      | Ketahui tentang penjejakan lokasi GPS untuk peranti IoT                                                                                                                   |                           [Penjejakan lokasi](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Pengangkutan](./3-transport/README.md)       |                     Simpan data lokasi                     | Ketahui cara menyimpan data IoT untuk divisualkan atau dianalisis kemudian                                                                                                      |                         [Simpan data lokasi](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Pengangkutan](./3-transport/README.md)       |                   Visualkan data lokasi                   | Ketahui tentang memvisualkan data lokasi pada peta, dan bagaimana peta mewakili dunia 3D sebenar dalam 2 dimensi                                                            |                     [Visualkan data lokasi](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Pengangkutan](./3-transport/README.md)       |                          Geofences                          | Ketahui tentang geofences, dan bagaimana ia boleh digunakan untuk memberi amaran apabila kenderaan dalam rantaian bekalan hampir ke destinasi mereka                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Pembuatan](./4-manufacturing/README.md)   |               Latih pengesan kualiti buah                | Ketahui tentang melatih pengklasifikasi imej di awan untuk mengesan kualiti buah                                                                                       |                 [Latih pengesan kualiti buah](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Pembuatan](./4-manufacturing/README.md)   |           Periksa kualiti buah dari peranti IoT            | Ketahui tentang menggunakan pengesan kualiti buah anda dari peranti IoT                                                                                                    |           [Periksa kualiti buah dari peranti IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Pembuatan](./4-manufacturing/README.md)   |             Jalankan pengesan buah anda di tepi             | Ketahui tentang menjalankan pengesan buah anda pada peranti IoT di tepi                                                                                                |             [Jalankan pengesan buah anda di tepi](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Pembuatan](./4-manufacturing/README.md)   |        Pencetus pengesanan kualiti buah dari sensor        | Ketahui tentang mencetuskan pengesanan kualiti buah dari sensor                                                                                                        |        [Pencetus pengesanan kualiti buah dari sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Runcit](./5-retail/README.md)          |                   Latih pengesan stok                    | Ketahui cara menggunakan pengesanan objek untuk melatih pengesan stok untuk mengira stok di kedai                                                                                |                        [Latih pengesan stok](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Runcit](./5-retail/README.md)          |               Periksa stok dari peranti IoT                | Ketahui cara memeriksa stok dari peranti IoT menggunakan model pengesanan objek                                                                                         |                     [Periksa stok dari peranti IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Pengguna](./6-consumer/README.md)        |             Kenali ucapan dengan peranti IoT             | Ketahui cara mengenali ucapan dari peranti IoT untuk membina pemasa pintar                                                                                             |                  [Kenali ucapan dengan peranti IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Pengguna](./6-consumer/README.md)        |                     Fahami bahasa                     | Ketahui cara memahami ayat yang diucapkan kepada peranti IoT                                                                                                           |                        [Fahami bahasa](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Pengguna](./6-consumer/README.md)        |           Tetapkan pemasa dan berikan maklum balas ucapan           | Ketahui cara menetapkan pemasa pada peranti IoT dan memberikan maklum balas ucapan tentang bila pemasa ditetapkan dan bila ia selesai                                                    |                 [Tetapkan pemasa dan berikan maklum balas ucapan](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Pengguna](./6-consumer/README.md)        |                 Sokong pelbagai bahasa                  | Ketahui cara menyokong pelbagai bahasa, baik yang diucapkan kepada dan respons daripada pemasa pintar anda                                                               |                   [Sokong pelbagai bahasa](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Nama Projek              |                       Konsep yang Diajarkan                       | Objektif Pembelajaran                                                                                                                                                 |                                                        Pelajaran Terhubung                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Memulakan](./1-getting-started/README.md) |                     Pengenalan kepada IoT                     | Pelajari prinsip asas IoT dan komponen asas penyelesaian IoT seperti sensor dan perkhidmatan awan semasa anda menyediakan peranti IoT pertama anda |                      [Pengenalan kepada IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Memulakan](./1-getting-started/README.md) |                   Penyelaman mendalam ke dalam IoT                    | Pelajari lebih lanjut tentang komponen sistem IoT, serta mikrokontroler dan komputer papan tunggal                                                            |                        [Penyelaman mendalam ke dalam IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Memulakan](./1-getting-started/README.md) | Berinteraksi dengan dunia fizikal menggunakan sensor dan aktuator | Pelajari tentang sensor untuk mengumpul data dari dunia fizikal, dan aktuator untuk memberikan maklum balas, semasa anda membina lampu malam                                           | [Berinteraksi dengan dunia fizikal menggunakan sensor dan aktuator](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Memulakan](./1-getting-started/README.md) |             Sambungkan peranti anda ke Internet             | Pelajari cara menyambungkan peranti IoT ke Internet untuk menghantar dan menerima mesej dengan menyambungkan lampu malam anda ke broker MQTT                               |               [Sambungkan peranti anda ke Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Ladang](./2-farm/README.md)            |                    Meramal pertumbuhan tanaman                     | Pelajari cara meramal pertumbuhan tanaman menggunakan data suhu yang ditangkap oleh peranti IoT                                                                                  |                          [Meramal pertumbuhan tanaman](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Ladang](./2-farm/README.md)            |                    Mengesan kelembapan tanah                     | Pelajari cara mengesan kelembapan tanah dan menentukur sensor kelembapan tanah                                                                                              |                          [Mengesan kelembapan tanah](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Ladang](./2-farm/README.md)            |                  Penyiraman tanaman automatik                   | Pelajari cara mengautomasi dan menjadualkan penyiraman menggunakan relay dan MQTT                                                                                                      |                      [Penyiraman tanaman automatik](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Ladang](./2-farm/README.md)            |               Migrasikan tanaman anda ke awan               | Pelajari tentang awan dan perkhidmatan IoT yang dihoskan di awan serta cara menyambungkan tanaman anda ke salah satu daripadanya dan bukannya broker MQTT awam                                   |               [Migrasikan tanaman anda ke awan](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ladang](./2-farm/README.md)            |         Migrasikan logik aplikasi anda ke awan         | Pelajari cara anda boleh menulis logik aplikasi di awan yang bertindak balas terhadap mesej IoT                                                                          |         [Migrasikan logik aplikasi anda ke awan](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Ladang](./2-farm/README.md)            |                   Pastikan tanaman anda selamat                    | Pelajari tentang keselamatan dengan IoT dan cara memastikan tanaman anda selamat dengan kunci dan sijil                                                                          |                        [Pastikan tanaman anda selamat](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Pengangkutan](./3-transport/README.md)       |                      Penjejakan lokasi                      | Pelajari tentang penjejakan lokasi GPS untuk peranti IoT                                                                                                                   |                           [Penjejakan lokasi](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Pengangkutan](./3-transport/README.md)       |                     Simpan data lokasi                     | Pelajari cara menyimpan data IoT untuk divisualisasikan atau dianalisis kemudian                                                                                                      |                         [Simpan data lokasi](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Pengangkutan](./3-transport/README.md)       |                   Visualisasikan data lokasi                   | Pelajari tentang visualisasi data lokasi pada peta, dan cara peta mewakili dunia 3D sebenar dalam 2 dimensi                                                            |                     [Visualisasikan data lokasi](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Pengangkutan](./3-transport/README.md)       |                          Geofences                          | Pelajari tentang geofences, dan cara ia boleh digunakan untuk memberi amaran apabila kenderaan dalam rantaian bekalan hampir ke destinasi mereka                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Pembuatan](./4-manufacturing/README.md)   |               Latih pengesan kualiti buah                | Pelajari tentang melatih pengklasifikasi imej di awan untuk mengesan kualiti buah                                                                                       |                 [Latih pengesan kualiti buah](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Pembuatan](./4-manufacturing/README.md)   |           Periksa kualiti buah dari peranti IoT            | Pelajari tentang menggunakan pengesan kualiti buah anda dari peranti IoT                                                                                                    |           [Periksa kualiti buah dari peranti IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Pembuatan](./4-manufacturing/README.md)   |             Jalankan pengesan buah anda di tepi             | Pelajari tentang menjalankan pengesan buah anda pada peranti IoT di tepi                                                                                                |             [Jalankan pengesan buah anda di tepi](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Pembuatan](./4-manufacturing/README.md)   |        Pencetus pengesanan kualiti buah dari sensor        | Pelajari tentang mencetuskan pengesanan kualiti buah dari sensor                                                                                                        |        [Pencetus pengesanan kualiti buah dari sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Runcit](./5-retail/README.md)          |                   Latih pengesan stok                    | Pelajari cara menggunakan pengesanan objek untuk melatih pengesan stok untuk mengira stok di kedai                                                                                |                        [Latih pengesan stok](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Runcit](./5-retail/README.md)          |               Periksa stok dari peranti IoT                | Pelajari cara memeriksa stok dari peranti IoT menggunakan model pengesanan objek                                                                                         |                     [Periksa stok dari peranti IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Pengguna](./6-consumer/README.md)        |             Kenali ucapan dengan peranti IoT             | Pelajari cara mengenali ucapan dari peranti IoT untuk membina pemasa pintar                                                                                             |                  [Kenali ucapan dengan peranti IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Pengguna](./6-consumer/README.md)        |                     Fahami bahasa                     | Pelajari cara memahami ayat yang diucapkan kepada peranti IoT                                                                                                           |                        [Fahami bahasa](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Pengguna](./6-consumer/README.md)        |           Tetapkan pemasa dan berikan maklum balas ucapan           | Pelajari cara menetapkan pemasa pada peranti IoT dan memberikan maklum balas ucapan tentang bila pemasa ditetapkan dan bila ia selesai                                                    |                 [Tetapkan pemasa dan berikan maklum balas ucapan](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Pengguna](./6-consumer/README.md)        |                 Sokong pelbagai bahasa                  | Pelajari cara menyokong pelbagai bahasa, baik yang diucapkan kepada dan respons daripada pemasa pintar anda                                                               |                   [Sokong pelbagai bahasa](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Akses Luar Talian
 
-Anda boleh menjalankan dokumentasi ini secara luar talian dengan menggunakan [Docsify](https://docsify.js.org/#/). Fork repo ini, [pasang Docsify](https://docsify.js.org/#/quickstart) pada mesin tempatan anda, dan kemudian di folder root repo ini, taip `docsify serve`. Laman web akan disediakan pada port 3000 di localhost anda: `localhost:3000`.
+Anda boleh menjalankan dokumentasi ini secara luar talian dengan menggunakan [Docsify](https://docsify.js.org/#/). Fork repositori ini, [pasang Docsify](https://docsify.js.org/#/quickstart) pada mesin tempatan anda, dan kemudian di folder root repositori ini, taipkan `docsify serve`. Laman web akan disajikan pada port 3000 di localhost anda: `localhost:3000`.
 
 ## Kuiz
 
@@ -135,7 +139,7 @@ Terima kasih kepada komuniti kerana menganjurkan kuiz interaktif yang menguji pe
 
 ### PDF
 
-Anda boleh menghasilkan PDF kandungan ini untuk akses luar talian jika diperlukan. Untuk melakukan ini, pastikan anda mempunyai [npm installed](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) dan jalankan arahan berikut di folder root repo ini:
+Anda boleh menjana PDF kandungan ini untuk akses luar talian jika diperlukan. Untuk melakukannya, pastikan anda mempunyai [npm dipasang](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) dan jalankan arahan berikut di folder root repositori ini:
 
 ```sh
 npm i
@@ -151,45 +155,46 @@ Terdapat dek slaid untuk beberapa pelajaran dalam folder [slides](../../slides).
 
 Pasukan kami menghasilkan kurikulum lain! Lihat:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
-### Azure / Edge / MCP / Agen
+### Azure / Edge / MCP / Ejen
 [![AZD untuk Pemula](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI untuk Pemula](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP untuk Pemula](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Agen AI untuk Pemula](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Ejen AI untuk Pemula](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Siri AI Generatif
 [![AI Generatif untuk Pemula](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI Generatif (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![AI Generatif (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![AI Generatif (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Pembelajaran Teras
-[![ML untuk Pemula](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Sains Data untuk Pemula](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI untuk Pemula](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Keselamatan Siber untuk Pemula](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Pembangunan Web untuk Pemula](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT untuk Pemula](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Pembangunan XR untuk Pemula](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML untuk Pemula](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Sains Data untuk Pemula](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI untuk Pemula](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Keselamatan Siber untuk Pemula](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Pembangunan Web untuk Pemula](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT untuk Pemula](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Pembangunan XR untuk Pemula](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Siri Copilot  
-[![Copilot untuk Pengaturcaraan Berpasangan AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot untuk C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Pengembaraan Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Siri Copilot
+[![Copilot untuk Pengaturcaraan Berpasangan AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot untuk C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Pengembaraan Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Pengiktirafan Imej  
+## Pengiktirafan Imej
 
-Anda boleh menemui semua pengiktirafan untuk imej yang digunakan dalam kurikulum ini di mana diperlukan dalam [Pengiktirafan](./attributions.md).  
+Anda boleh menemui semua pengiktirafan untuk imej yang digunakan dalam kurikulum ini di mana diperlukan dalam [Pengiktirafan](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Penafian**:  
-Dokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk ketepatan, sila ambil perhatian bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang berwibawa. Untuk maklumat penting, terjemahan manusia profesional adalah disyorkan. Kami tidak bertanggungjawab atas sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.
\ No newline at end of file
+Dokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk ketepatan, sila ambil perhatian bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang berwibawa. Untuk maklumat kritikal, terjemahan manusia profesional adalah disyorkan. Kami tidak bertanggungjawab atas sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/my/README.md b/translations/my/README.md
index 4d1dc3ac2..f9c45d7fa 100644
--- a/translations/my/README.md
+++ b/translations/my/README.md
@@ -1,134 +1,128 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:27:51+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:11:14+00:00",
   "source_file": "README.md",
   "language_code": "my"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Azure AI Foundry Community ကိုပါဝင်ပါ
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Azure AI Foundry အသိုင်းအဝိုင်းကို ဝင်ရောက်ပါ  
 
-ဒီအရင်းအမြစ်တွေကိုအသုံးပြုဖို့အဆင်သင့်ဖြစ်ဖို့အဆင့်တွေကိုလိုက်နာပါ။
-1. **Repository ကို Fork လုပ်ပါ**: [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork) ကိုနှိပ်ပါ။
-2. **Repository ကို Clone လုပ်ပါ**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord ကို Join လုပ်ပြီး ကျွမ်းကျင်သူများနှင့် Developer မိတ်ဆွေများနှင့်တွေ့ဆုံပါ**](https://discord.com/invite/ByRwuEEgH4)
+AI အက်ပ်များ တည်ဆောက်ရာတွင် အခက်အခဲရှိပါက သို့မဟုတ် မေးခွန်းများရှိပါက MCP အကြောင်းကို ဆွေးနွေးရန် သင်တန်းသားများနှင့် အတွေ့အကြုံရှိသော Developer များနှင့် တွေ့ဆုံပါ။ မေးခွန်းများကို ကြိုဆိုပြီး အသိပညာများကို လွတ်လပ်စွာ မျှဝေသော အထောက်အပံ့ပေးသော အသိုင်းအဝိုင်းတစ်ခုဖြစ်သည်။  
 
-### 🌐 ဘာသာစကားများအမျိုးမျိုးကို ပံ့ပိုးမှု
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### GitHub Action မှတဆင့် ပံ့ပိုးထားသည် (အလိုအလျောက် & အမြဲတမ်း Update ဖြစ်နေသည်)
+ထုတ်ကုန်အကြံပြုချက်များ သို့မဟုတ် တည်ဆောက်ရာတွင် အမှားများရှိပါက အောက်ပါလင့်ခ်သို့ သွားပါ-  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT for Beginners - သင်ခန်းစာများ
+ဤအရင်းအမြစ်များကို အသုံးပြုရန် အောက်ပါအဆင့်များကို လိုက်နာပါ-  
+1. **Repository ကို Fork လုပ်ပါ**: [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork) ကိုနှိပ်ပါ  
+2. **Repository ကို Clone လုပ်ပါ**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Microsoft Foundry Discord ကို Join လုပ်ပြီး ကျွမ်းကျင်သူများနှင့် Developer များနှင့် တွေ့ဆုံပါ**](https://discord.com/invite/ByRwuEEgH4)  
 
-Microsoft မှ Azure Cloud Advocates များသည် IoT အခြေခံများအကြောင်း 12 ပတ်၊ 24 သင်ခန်းစာများပါဝင်သော သင်ခန်းစာများကို ပေးဆောင်ရန် ဝမ်းမြောက်ဝမ်းသာဖြစ်နေပါသည်။ သင်ခန်းစာတစ်ခုစီတွင် သင်ခန်းစာမတိုင်မီနှင့်ပြီးနောက် စစ်တမ်းများ၊ သင်ခန်းစာကိုပြီးစီးရန် ရေးသားထားသောညွှန်ကြားချက်များ၊ ဖြေရှင်းချက်၊ လုပ်ငန်းတာဝန်များနှင့် အခြားအရာများပါဝင်သည်။ ပရောဂျက်အခြေခံ သင်ကြားမှုနည်းလမ်းများသည် သင်ယူနေစဉ်တွင် တည်ဆောက်ခြင်းဖြင့် သင်ယူရန် ခွင့်ပြုသည်။ အခြေခံကျသော နည်းလမ်းတစ်ခုဖြစ်သည်။
+### 🌐 ဘာသာစကားများ အထောက်အပံ့  
 
-ပရောဂျက်များသည် စိုက်ပျိုးရေးမှ စားပွဲထိ အစားအစာ၏ ခရီးကို ဖုံးလွှမ်းထားသည်။ ဤတွင် စိုက်ပျိုးရေး၊ သယ်ယူပို့ဆောင်ရေး၊ ထုတ်လုပ်မှု၊ လက်လီရောင်းချမှုနှင့် စားသုံးသူများ - IoT စက်ပစ္စည်းများအတွက် လူကြိုက်များသော စက်မှုလုပ်ငန်းများပါဝင်သည်။
+#### GitHub Action မှတဆင့် ထောက်ပံ့ထားသည် (အလိုအလျောက် & အမြဲနောက်ဆုံးပေါ်)  
 
-![သင်ခန်းစာ 24 ခုကို ဖုံးလွှမ်းထားသော သင်ခန်းစာများအတွက် လမ်းကြောင်းပြမြေပုံ](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.my.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> Sketchnote ကို [Nitya Narasimhan](https://github.com/nitya) မှရေးသားသည်။ ပုံကိုကြီးမားသောဗားရှင်းအတွက်နှိပ်ပါ။
+# IoT for Beginners - သင်တန်း  
 
-**ကျွန်ုပ်တို့၏စာရေးသူများ [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), နှင့် ကျွန်ုပ်တို့၏ Sketchnote အနုပညာရှင် [Nitya Narasimhan](https://github.com/nitya) ကို အထူးကျေးဇူးတင်ရှိပါသည်။**
+Microsoft ၏ Azure Cloud Advocates မှ IoT အခြေခံများအကြောင်း 12 ပတ်၊ 24 သင်ခန်းစာ သင်တန်းအစီအစဉ်ကို ပေးဆောင်ရန် ဝမ်းမြောက်ဝမ်းသာဖြင့် တင်ပြပါသည်။ သင်ခန်းစာတိုင်းတွင် သင်ခန်းစာမတိုင်မီနှင့် သင်ခန်းစာပြီးနောက် မေးခွန်းများ၊ သင်ခန်းစာကို ပြီးစီးရန် ရေးသားထားသော လမ်းညွှန်ချက်များ၊ ဖြေရှင်းချက်၊ လုပ်ငန်းတာဝန်များနှင့် အခြားအရာများ ပါဝင်သည်။ ကျွန်ုပ်တို့၏ စီမံကိန်းအခြေပြု သင်ကြားမှုနည်းလမ်းသည် တည်ဆောက်ရင်း သင်ယူရန် ခွင့်ပြုသည်။ ဤနည်းလမ်းသည် ကျွမ်းကျင်မှုအသစ်များကို သင်ယူရန် အကောင်းဆုံးနည်းလမ်းတစ်ခုဖြစ်သည်။  
 
-**Microsoft Learn Student Ambassadors [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), နှင့် [Zina Kamel](https://www.linkedin.com/in/zina-kamel/) တို့မှ သင်ခန်းစာများကို ပြန်လည်သုံးသပ်ခြင်းနှင့် ဘာသာပြန်ခြင်းများတွင် ပါဝင်ခဲ့ကြသည်။**
+ဤစီမံကိန်းများတွင် စားနပ်ရိက္ခာများကို လယ်ယာမှ စားပွဲထိ ခရီးသွားမှုကို ဖော်ပြထားသည်။ ဤအရာတွင် လယ်ယာလုပ်ငန်း၊ သယ်ယူပို့ဆောင်ရေး၊ ထုတ်လုပ်မှု၊ လက်လီရောင်းချမှုနှင့် စားသုံးသူများ ပါဝင်သည် - IoT စက်ပစ္စည်းများအတွက် လူကြိုက်များသော စက်မှုလုပ်ငန်းဧရိယာများဖြစ်သည်။  
 
-အဖွဲ့ကိုတွေ့ဆုံပါ!
+![သင်တန်းအတွက် လမ်းကြောင်းပြမြေပုံတွင် 24 သင်ခန်းစာများကို အကျဉ်းချုပ်၊ လယ်ယာလုပ်ငန်း၊ သယ်ယူပို့ဆောင်ရေး၊ ထုတ်လုပ်မှု၊ လက်လီရောင်းချမှုနှင့် ချက်ပြုတ်ခြင်းတို့ကို ဖော်ပြထားသည်](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.my.jpg)  
 
-[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya)။ ပုံကို နှိပ်ပြီး ပိုကြီးသော ဗားရှင်းကို ကြည့်ပါ။  
 
-**Gif ကို** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) မှ ပြုလုပ်သည်။
+**ကျွန်ုပ်တို့၏ စာရေးသူများ [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) နှင့် Sketchnote အနုပညာရှင် [Nitya Narasimhan](https://github.com/nitya) တို့အား အထူးကျေးဇူးတင်ပါသည်။**  
 
-> 🎥 အထက်ပါပုံကိုနှိပ်ပြီး ပရောဂျက်အကြောင်း ဗီဒီယိုကိုကြည့်ပါ။
+**ထို့အပြင် ဤသင်တန်းအစီအစဉ်ကို ပြန်လည်သုံးသပ်ခြင်းနှင့် ဘာသာပြန်ခြင်းများကို ပြုလုပ်နေသော [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) အဖွဲ့ဝင်များ [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), နှင့် [Zina Kamel](https://www.linkedin.com/in/zina-kamel/) တို့အားလည်း ကျေးဇူးတင်ပါသည်။**  
 
-> **ဆရာများ**၊ ဤသင်ခန်းစာများကို ဘယ်လိုအသုံးပြုရမည်ဆိုသည်ကို [အကြံပြုချက်များ](for-teachers.md) ထည့်သွင်းထားပါသည်။ သင်၏ကိုယ်ပိုင်သင်ခန်းစာများကို ဖန်တီးလိုပါက [သင်ခန်းစာအတန်းပုံစံ](lesson-template/README.md) ကိုလည်း ထည့်သွင်းထားပါသည်။
+အဖွဲ့ကို တွေ့ဆုံပါ!  
 
-> **[ကျောင်းသားများ](https://aka.ms/student-page)**၊ ဤသင်ခန်းစာများကို ကိုယ်တိုင်အသုံးပြုရန် repo အားလုံးကို fork လုပ်ပြီး ကိုယ်တိုင်လေ့ကျင့်မှုများကို ပြီးစီးပါ။ သင်ခန်းစာမတိုင်မီ စစ်တမ်းဖြေပြီး သင်ခန်းစာကိုဖတ်ပြီး အခြားလုပ်ငန်းများကို ပြီးစီးပါ။ သင်ခန်းစာများကို နားလည်ခြင်းဖြင့် ပရောဂျက်များကို ဖန်တီးရန်ကြိုးစားပါ။ ဖြေရှင်းချက်ကုဒ်ကို ကူးယူခြင်းမဟုတ်ပါ။ သို့သော် အဆိုပါကုဒ်ကို project-oriented သင်ခန်းစာတစ်ခုစီ၏ /solutions folder တွင် ရရှိနိုင်ပါသည်။ အခြားအကြံတစ်ခုမှာ မိတ်ဆွေများနှင့် သင်ကြားမှုအဖွဲ့တစ်ခုဖွဲ့ပြီး အကြောင်းအရာကိုအတူတူလေ့လာပါ။ ထပ်မံလေ့လာရန်အတွက် [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) ကို အကြံပြုပါသည်။
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-ဤသင်ခန်းစာအကြောင်း ဗီဒီယိုအကျဉ်းချုပ်ကို ကြည့်ရန် ဤဗီဒီယိုကိုကြည့်ပါ:
+**Gif by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> 🎥 အထက်ပါပုံကို နှိပ်ပြီး စီမံကိန်းအကြောင်း ဗီဒီယိုကို ကြည့်ပါ!  
 
-> 🎥 အထက်ပါပုံကိုနှိပ်ပြီး ပရောဂျက်အကြောင်း ဗီဒီယိုကိုကြည့်ပါ။
+> **ဆရာများ**၊ ဤသင်တန်းအစီအစဉ်ကို မည်သို့ အသုံးပြုရမည်ဆိုသည်ကို [အကြံပြုချက်များ](for-teachers.md) ပါဝင်ထားပါသည်။ သင်၏ကိုယ်ပိုင် သင်ခန်းစာများကို ဖန်တီးလိုပါက [သင်ခန်းစာအခြေခံပုံစံ](lesson-template/README.md) ကိုလည်း ထည့်သွင်းထားပါသည်။  
 
-## သင်ကြားမှုနည်းလမ်း
+> **[ကျောင်းသားများ](https://aka.ms/student-page)**၊ ဤသင်တန်းအစီအစဉ်ကို ကိုယ်တိုင်အသုံးပြုရန် repo အားလုံးကို fork လုပ်ပြီး မိမိကိုယ်တိုင် လေ့ကျင့်မှုများကို ပြီးစီးပါ။ သင်ခန်းစာမတိုင်မီ မေးခွန်းဖြင့် စတင်ပြီး သင်ခန်းစာကို ဖတ်ရှုပြီး အခြားလုပ်ဆောင်ရမည့် အရာများကို ပြီးစီးပါ။ သင်ခန်းစာများကို နားလည်ခြင်းဖြင့် စီမံကိန်းများကို ဖန်တီးရန် ကြိုးစားပါ၊ သို့မဟုတ် ဖြေရှင်းချက်ကုဒ်ကို ကူးယူခြင်းမပြုပါ။ သို့သော် အဆိုပါကုဒ်ကို စီမံကိန်းအခြေပြု သင်ခန်းစာတစ်ခုစီ၏ /solutions ဖိုလ်ဒါများတွင် ရရှိနိုင်ပါသည်။ အခြားတစ်ခုမှာ မိတ်ဆွေများနှင့် သင်ယူအဖွဲ့တစ်ခု ဖွဲ့ပြီး အကြောင်းအရာကို အတူတူ လေ့လာသင်ယူပါ။ နောက်ထပ်လေ့လာရန်အတွက် [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) ကို အကြံပြုပါသည်။  
 
-ဤသင်ခန်းစာကို တည်ဆောက်နေစဉ်တွင် ကျွန်ုပ်တို့သည် သင်ကြားမှုနည်းလမ်းနှစ်ခုကို ရွေးချယ်ခဲ့သည်။ ပရောဂျက်အခြေခံဖြစ်စေရန်နှင့် မကြာခဏ စစ်တမ်းများပါဝင်စေရန် သေချာစေရန်ဖြစ်သည်။ ဤစီးရီး၏အဆုံးတွင် ကျောင်းသားများသည် အပင်စောင့်ရှောက်မှုနှင့် ရေချခြင်းစနစ်၊ ယာဉ်ကြောနည်းလမ်း၊ စက်ရုံအဆင့်မြင့်စနစ်၊ အစားအစာကိုစစ်ဆေးခြင်းနှင့် စစ်ဆေးခြင်း၊ အသံထိန်းချုပ်မှုအချိန်တိုင်းစနစ်ကို တည်ဆောက်ပြီး IoT အခြေခံများကို သင်ယူပြီး စက်ပစ္စည်းကုဒ်ရေးသားခြင်း၊ cloud နှင့်ချိတ်ဆက်ခြင်း၊ telemetry ကိုခွဲခြမ်းစိတ်ဖြာခြင်းနှင့် AI ကို edge တွင်အလုပ်လုပ်စေခြင်းတို့ကို သင်ယူထားမည်ဖြစ်သည်။
+ဤသင်တန်းအကြောင်း ဗီဒီယိုအကျဉ်းချုပ်ကို ကြည့်ရန် ဤဗီဒီယိုကို ကြည့်ပါ-  
 
-အကြောင်းအရာများကို ပရောဂျက်များနှင့်အညီထားရှိခြင်းဖြင့် ကျောင်းသားများအတွက် လေ့လာမှုလုပ်ငန်းစဉ်ကို ပိုမိုစိတ်ဝင်စားစရာကောင်းစေပြီး အယူအဆများကို ပိုမိုမှတ်မိစေမည်ဖြစ်သည်။
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-ထို့အပြင် သင်ခန်းစာမတိုင်မီ စစ်တမ်းသည် ကျောင်းသား၏ အာရုံစိုက်မှုကို အကြောင်းအရာတစ်ခုကို သင်ယူရန် ရည်ရွယ်ချက်ထားရှိစေပြီး သင်ခန်းစာပြီးနောက် စစ်တမ်းသည် ထပ်မံမှတ်မိမှုကို သေချာစေသည်။ ဤသင်ခန်းစာကို အပြည့်အစုံ သို့မဟုတ် အစိတ်အပိုင်းအဖြစ်ယူနိုင်ပြီး အလွယ်တကူနှင့် ပျော်ရွှင်စွာ လေ့လာနိုင်ရန် ရည်ရွယ်ထားသည်။ ပရောဂျက်များသည် သေးငယ်ပြီး 12 ပတ်အတွင်း အဆုံးသတ်မည့်အချိန်တွင် ပိုမိုရှုပ်ထွေးလာသည်။
+> 🎥 အထက်ပါပုံကို နှိပ်ပြီး စီမံကိန်းအကြောင်း ဗီဒီယိုကို ကြည့်ပါ!  
 
-ပရောဂျက်တစ်ခုစီသည် ကျောင်းသားများနှင့် hobbyist များအတွက် ရရှိနိုင်သော အမှန်တကယ်ရှိသော hardware ကို အခြေခံထားသည်။ ပရောဂျက်တစ်ခုစီသည် သက်ဆိုင်ရာ ပရောဂျက်နယ်ပယ်ကို လေ့လာပြီး သက်ဆိုင်ရာ နောက်ခံအသိပညာကို ပေးသည်။ အောင်မြင်သော developer ဖြစ်ရန် သင်သည် ပြဿနာများကို ဖြေရှင်းနေသော နယ်ပယ်ကို နားလည်ရန် အထောက်အကူဖြစ်စေသည်။ ဤနောက်ခံအသိပညာကို ပေးခြင်းဖြင့် ကျောင်းသားများသည် သူတို့၏ IoT ဖြေရှင်းချက်များနှင့် သင်ယူမှုများကို အမှန်တကယ်ရှိသော ပြဿနာတစ်ခု၏ အခြေခံအနေအထားတွင် စဉ်းစားနိုင်စေသည်။ ကျောင်းသားများသည် သူတို့တည်ဆောက်နေသော ဖြေရှင်းချက်များ၏ 'အကြောင်းရင်း' ကို သင်ယူပြီး အဆုံးသုံးစွဲသူ၏ အမြင်ကို နားလည်နိုင်သည်။
+## သင်ကြားမှုနည်းလမ်း  
 
-## Hardware
+ဤသင်တန်းအစီအစဉ်ကို တည်ဆောက်စဉ်တွင် ကျွန်ုပ်တို့သည် သင်ကြားမှုနည်းလမ်းနှစ်ခုကို ရွေးချယ်ခဲ့ပါသည် - စီမံကိန်းအခြေပြုဖြစ်စေရန်နှင့် မေးခွန်းများကို မကြာခဏ ထည့်သွင်းထားခြင်းဖြစ်သည်။ ဤစီးရီး၏ အဆုံးတွင် ကျောင်းသားများသည် အပင်စောင့်ကြည့်ခြင်းနှင့် ရေဖြည့်စနစ်၊ ယာဉ်ခြေရာခံစနစ်၊ စားနပ်ရိက္ခာကို စစ်ဆေးခြင်းနှင့် စက်ရုံစနစ်၊ အသံထိန်းချိန်စနစ်ကို တည်ဆောက်ပြီး IoT ၏ အခြေခံအချက်များကို သင်ယူပြီး စက်ပစ္စည်းကုဒ်ရေးခြင်း၊ cloud သို့ ချိတ်ဆက်ခြင်း၊ telemetry ကို ခွဲခြမ်းစိတ်ဖြာခြင်းနှင့် အစွန်းတွင် AI ကို လည်ပတ်စေခြင်းတို့ကို သင်ယူမည်ဖြစ်သည်။  
 
-ပရောဂျက်များအတွက် IoT hardware ကို သင်၏ကိုယ်ပိုင်နှစ်သက်မှု၊ programming language အသိပညာ သို့မဟုတ် နှစ်သက်မှုများ၊ သင်ယူမှုရည်မှန်းချက်များနှင့် ရရှိနိုင်မှုအပေါ် မူတည်၍ ရွေးချယ်နိုင်သော hardware နှစ်မျိုးရှိသည်။ hardware မရရှိနိုင်သူများ သို့မဟုတ် ဝယ်ယူမှုမလုပ်မီ ပိုမိုလေ့လာလိုသူများအတွက် 'virtual hardware' ဗားရှင်းကိုလည်း ပေးထားသည်။ [hardware page](./hardware.md) တွင် 'shopping list' နှင့် Seeed Studio မှ အပြည့်အစုံ kit များကို ဝယ်ယူရန် link များကို ရှာဖွေပါ။
+အကြောင်းအရာများကို စီမံကိန်းများနှင့် ကိုက်ညီစေရန် သေချာစေခြင်းဖြင့် ကျောင်းသားများအတွက် ပိုမိုစိတ်ဝင်စားစေပြီး အကြောင်းအရာများကို မှတ်မိစေခြင်းကို တိုးတက်စေပါသည်။  
 
-> 💁 ကျွန်ုပ်တို့၏ [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), နှင့် [Translation](TRANSLATIONS.md) လမ်းညွှန်ချက်များကို ရှာဖွေပါ။ သင့်ရဲ့ အဆောက်အအုံဆိုင်ရာ အကြံပြုချက်များကို ကြိုဆိုပါသည်!
+ထို့အပြင် သင်ခန်းစာမတိုင်မီ မေးခွန်းတစ်ခုသည် ကျောင်းသား၏ အာရုံစိုက်မှုကို သင်ခန်းစာအကြောင်းသို့ ဦးတည်စေပြီး သင်ခန်းစာပြီးနောက် မေးခွန်းတစ်ခုသည် အကြောင်းအရာများကို ပိုမိုမှတ်မိစေပါသည်။ ဤသင်တန်းအစီအစဉ်ကို အပြည့်အစုံ သို့မဟုတ် အစိတ်အပိုင်းအလိုက် လိုက်နာနိုင်ရန် ရည်ရွယ်ထားပြီး ပျော်ရွှင်စေဖို့ ရည်ရွယ်ထားပါသည်။ စီမံကိန်းများသည် သေးငယ်သောအရာများမှ စတင်ပြီး 12 ပတ်အတွင်း အဆင့်မြင့်ဖြစ်လာမည်ဖြစ်သည်။  
 
-## သင်ခန်းစာတစ်ခုစီတွင်ပါဝင်သည်။
+စီမံကိန်းတစ်ခုစီသည် ကျောင်းသားများနှင့် ဝါသနာရှင်များအတွက် ရရှိနိုင်သော အမှန်တကယ်ရှိသော hardware များကို အခြေခံထားသည်။ စီမံကိန်းတစ်ခုစီသည် သက်ဆိုင်ရာ စီမံကိန်းဒိုမိန်းကို လေ့လာပြီး သက်ဆိုင်ရာ နောက်ခံအသိပညာကို ပေးသည်။ အောင်မြင်သော Developer ဖြစ်ရန် သင်သည် ပြဿနာများကို ဖြေရှင်းနေသော ဒိုမိန်းကို နားလည်ရန် အထောက်အကူဖြစ်သည်။ ဤနောက်ခံအသိပညာကို ပေးခြင်းဖြင့် ကျောင်းသားများသည် IoT ဖြေရှင်းချက်များနှင့် သင်ယူမှုများကို IoT Developer အဖြစ် ဖြေရှင်းရန် တိုက်ရိုက်ကြုံတွေ့ရမည့် အမှန်တကယ်ရှိသော ပြဿနာအနေဖြင့် တွေးခေါ်နိုင်စေသည်။ ကျောင်းသားများသည် မိမိတို့ တည်ဆောက်နေသော ဖြေရှင်းချက်များ၏ 'အကြောင်းရင်း
+> **မေးခွန်းများအကြောင်းမှတ်ချက်**: မေးခွန်းများအားလုံးကို quiz-app ဖိုလ်ဒါတွင်ထားရှိထားပြီး၊ မေးခွန်း ၃ ခုပါဝင်သော စုစုပေါင်း ၄၈ ခုရှိသည်။ မေးခွန်းများကို သင်ခန်းစာများတွင် ချိတ်ဆက်ထားပြီး၊ quiz app ကို ဒေသတွင်းတွင် အလုပ်လုပ်စေခြင်း သို့မဟုတ် Azure တွင် တင်နိုင်သည်။ `quiz-app` ဖိုလ်ဒါရှိ လမ်းညွှန်ချက်များကို လိုက်နာပါ။ မေးခွန်းများကို တဖြည်းဖြည်း ဒေသခံအဖြစ် ပြုလုပ်နေပါသည်။
 
-- sketchnote
-- ရွေးချယ်နိုင်သော အပိုဗီဒီယို
-- သင်ခန်းစာမတိုင်မီ စစ်တမ်း
-- ရေးသားထားသော သင်ခန်းစာ
-- ပရောဂျက်အခြေခံ သင်ခန်းစာများအတွက် ပရောဂျက်ကို တည်ဆောက်ရန် အဆင့်ဆင့်လမ်းညွှန်ချက်များ
-- အသိပညာစစ်ဆေးမှုများ
-- စိန်ခေါ်မှု
-- အပိုဖတ်ရှုရန်
-- လုပ်ငန်းတာဝန်
-- [သင်ခန်းစာပြီးနောက် စစ်တမ်း
-|  01   | [စတင်အသုံးပြုခြင်း](./1-getting-started/README.md) |                     IoT ကိုမိတ်ဆက်ခြင်း                     | IoT ရဲ့အခြေခံအချက်များနှင့် IoT ဖြေရှင်းချက်များအတွက် အခြေခံအဆောက်အအုံများကို သင်ယူပါ၊ ဥပမာအားဖြင့် sensor များနှင့် cloud services များ၊ သင်၏ပထမဆုံး IoT device ကို စတင်တပ်ဆင်နေစဉ် |                      [IoT ကိုမိတ်ဆက်ခြင်း](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [စတင်အသုံးပြုခြင်း](./1-getting-started/README.md) |                   IoT ကိုနက်နက်ရှိုင်းရှိုင်းလေ့လာခြင်း                    | IoT စနစ်၏အစိတ်အပိုင်းများနှင့် microcontrollers နှင့် single-board computers များကို ပိုမိုနက်နက်ရှိုင်းရှိုင်းလေ့လာပါ                                                            |                        [IoT ကိုနက်နက်ရှိုင်းရှိုင်းလေ့လာခြင်း](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [စတင်အသုံးပြုခြင်း](./1-getting-started/README.md) | Sensor များနှင့် actuator များဖြင့် ရုပ်ပိုင်းဆိုင်ရာကမ္ဘာနှင့် အပြန်အလှန်ဆက်သွယ်ခြင်း | ရုပ်ပိုင်းဆိုင်ရာကမ္ဘာမှ ဒေတာများကိုစုဆောင်းရန် sensor များနှင့် feedback ပေးရန် actuator များကို သင်ယူပါ၊ သင်၏ညဉ့်မီးကို တည်ဆောက်နေစဉ်                                           | [Sensor များနှင့် actuator များဖြင့် ရုပ်ပိုင်းဆိုင်ရာကမ္ဘာနှင့် အပြန်အလှန်ဆက်သွယ်ခြင်း](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [စတင်အသုံးပြုခြင်း](./1-getting-started/README.md) |             သင့် device ကို အင်တာနက်နှင့် ချိတ်ဆက်ပါ             | MQTT broker ကိုချိတ်ဆက်ခြင်းဖြင့် သင့်ညဉ့်မီးကို အင်တာနက်နှင့် ချိတ်ဆက်ပြီး message များပို့ခြင်းနှင့် လက်ခံခြင်းအကြောင်းကို သင်ယူပါ                               |               [သင့် device ကို အင်တာနက်နှင့် ချိတ်ဆက်ပါ](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    အပင်ကြီးထွားမှုကို ခန့်မှန်းပါ                     | IoT device မှ temperature data ကို အသုံးပြု၍ အပင်ကြီးထွားမှုကို ခန့်မှန်းပုံကို သင်ယူပါ                                                                                  |                          [အပင်ကြီးထွားမှုကို ခန့်မှန်းပါ](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farm](./2-farm/README.md)            |                    မြေစိုထိုင်းမှုကို ရှာဖွေပါ                     | မြေစိုထိုင်းမှု sensor ကို စစ်ဆေးပြီး ချိန်ညှိပုံကို သင်ယူပါ                                                                                              |                          [မြေစိုထိုင်းမှုကို ရှာဖွေပါ](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  အပင်ရေဖြန်းမှုကို အလိုအလျောက်လုပ်ဆောင်ပါ                   | relay နှင့် MQTT ကို အသုံးပြု၍ အပင်ရေဖြန်းမှုကို အလိုအလျောက်လုပ်ဆောင်ခြင်းနှင့် အချိန်ညှိခြင်းကို သင်ယူပါ                                                                                                      |                      [အပင်ရေဖြန်းမှုကို အလိုအလျောက်လုပ်ဆောင်ပါ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farm](./2-farm/README.md)            |               သင့်အပင်ကို cloud သို့ ပြောင်းရွှေ့ပါ               | cloud-hosted IoT services နှင့် cloud အကြောင်းကို သင်ယူပြီး public MQTT broker အစား သင့်အပင်ကို cloud တစ်ခုနှင့် ချိတ်ဆက်ပုံကို သင်ယူပါ                                   |               [သင့်အပင်ကို cloud သို့ ပြောင်းရွှေ့ပါ](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farm](./2-farm/README.md)            |         သင့် application logic ကို cloud သို့ ပြောင်းရွှေ့ပါ         | IoT message များကို တုံ့ပြန်သော application logic ကို cloud တွင်ရေးသားပုံကို သင်ယူပါ                                                                          |         [သင့် application logic ကို cloud သို့ ပြောင်းရွှေ့ပါ](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Farm](./2-farm/README.md)            |                   သင့်အပင်ကို လုံခြုံစေပါ                    | IoT နှင့် security အကြောင်းကို သင်ယူပြီး key များနှင့် certificate များဖြင့် သင့်အပင်ကို လုံခြုံစေပါ                                                                          |                        [သင့်အပင်ကို လုံခြုံစေပါ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      တည်နေရာ tracking                      | IoT device များအတွက် GPS တည်နေရာ tracking အကြောင်းကို သင်ယူပါ                                                                                                                   |                           [တည်နေရာ tracking](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     တည်နေရာ data ကို သိမ်းဆည်းပါ                     | IoT data ကို သိမ်းဆည်းပြီး နောက်ပိုင်းတွင် visualization သို့မဟုတ် analysis ပြုလုပ်နိုင်ရန် သင်ယူပါ                                                                                                      |                         [တည်နေရာ data ကို သိမ်းဆည်းပါ](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   တည်နေရာ data ကို မြင်သာအောင် ပြပါ                   | မြေပုံပေါ်တွင် တည်နေရာ data ကို မြင်သာအောင် ပြပုံနှင့် မြေပုံများသည် 3D ကမ္ဘာကို 2D အဖြစ် ဘယ်လိုဖော်ပြသည်ကို သင်ယူပါ                                                            |                     [တည်နေရာ data ကို မြင်သာအောင် ပြပါ](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Geofences အကြောင်းနှင့် supply chain တွင် ရှိသောယာဉ်များသည် သွားရောက်ရမည့် destination အနီးတွင် ရောက်ရှိသောအခါ alert ပေးပုံကို သင်ယူပါ                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufacturing](./4-manufacturing/README.md)   |               အသီးအရည်အသွေးကို စမ်းသပ်ရန် သင်ကြားပါ                | cloud တွင် image classifier ကို training ပြုလုပ်ပြီး အသီးအရည်အသွေးကို စမ်းသပ်ပုံကို သင်ယူပါ                                                                                       |                 [အသီးအရည်အသွေးကို စမ်းသပ်ရန် သင်ကြားပါ](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufacturing](./4-manufacturing/README.md)   |           IoT device မှ အသီးအရည်အသွေးကို စစ်ဆေးပါ            | IoT device မှ အသီးအရည်အသွေးကို စစ်ဆေးရန် သင့်အသီးအရည်အသွေးစစ်ဆေးသူကို အသုံးပြုပုံကို သင်ယူပါ                                                                                                    |           [IoT device မှ အသီးအရည်အသွေးကို စစ်ဆေးပါ](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Manufacturing](./4-manufacturing/README.md)   |             သင့်အသီးစစ်ဆေးသူကို edge တွင် အသုံးပြုပါ             | IoT device တွင် edge တွင် သင့်အသီးစစ်ဆေးသူကို အသုံးပြုပုံကို သင်ယူပါ                                                                                                |             [သင့်အသီးစစ်ဆေးသူကို edge တွင် အသုံးပြုပါ](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufacturing](./4-manufacturing/README.md)   |        Sensor မှ အသီးအရည်အသွေးစစ်ဆေးမှုကို စတင်ပါ        | Sensor မှ အသီးအရည်အသွေးစစ်ဆေးမှုကို စတင်ပုံကို သင်ယူပါ                                                                                                        |        [Sensor မှ အသီးအရည်အသွေးစစ်ဆေးမှုကို စတင်ပါ](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Retail](./5-retail/README.md)          |                   စတော့ရှယ်ယာ detector ကို သင်ကြားပါ                    | ဆိုင်တစ်ခုတွင် စတော့ရှယ်ယာကို ရေတွက်ရန် object detection ကို အသုံးပြု၍ စတော့ရှယ်ယာ detector ကို training ပြုလုပ်ပုံကို သင်ယူပါ                                                                                |                        [စတော့ရှယ်ယာ detector ကို သင်ကြားပါ](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Retail](./5-retail/README.md)          |               IoT device မှ စတော့ရှယ်ယာကို စစ်ဆေးပါ                | object detection model ကို အသုံးပြု၍ IoT device မှ စတော့ရှယ်ယာကို စစ်ဆေးပုံကို သင်ယူပါ                                                                                         |                     [IoT device မှ စတော့ရှယ်ယာကို စစ်ဆေးပါ](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumer](./6-consumer/README.md)        |             IoT device မှ စကားသံကို မှတ်မိပါ             | smart timer တစ်ခုကို တည်ဆောက်ရန် IoT device မှ စကားသံကို မှတ်မိပုံကို သင်ယူပါ                                                                                             |                  [IoT device မှ စကားသံကို မှတ်မိပါ](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consumer](./6-consumer/README.md)        |                     ဘာသာစကားကို နားလည်ပါ                     | IoT device သို့ ပြောသော စကားများကို နားလည်ပုံကို သင်ယူပါ                                                                                                           |                        [ဘာသာစကားကို နားလည်ပါ](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumer](./6-consumer/README.md)        |           Timer တစ်ခုကို သတ်မှတ်ပြီး စကားပြန် feedback ပေးပါ           | IoT device တွင် timer တစ်ခုကို သတ်မှတ်ပြီး timer သတ်မှတ်ချိန်နှင့် ပြီးဆုံးချိန်တွင် စကားပြန် feedback ပေးပုံကို သင်ယူပါ                                                    |                 [Timer တစ်ခုကို သတ်မှတ်ပြီး စကားပြန် feedback ပေးပါ](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumer](./6-consumer/README.md)        |                 ဘာသာစကားများစွာကို ပံ့ပိုးပါ                  | သင့် smart timer မှ ပြောသော response များနှင့် ပြန်ပြောသော ဘာသာစကားများစွာကို ပံ့ပိုးပုံကို သင်ယူပါ                                                               |                   [ဘာသာစကားများစွာကို ပံ့ပိုးပါ](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+## သင်ခန်းစာများ
 
-## အွန်လိုင်းမရှိသောအခါတွင် အသုံးပြုခြင်း
+|       |              Project Name              |                       Concepts Taught                       | Learning Objectives                                                                                                                                                 |                                                        Linked Lesson                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [စတင်ခြင်း](./1-getting-started/README.md) |                     IoT အကြောင်းမိတ်ဆက်                     | IoT အခြေခံအယူအဆများနှင့် IoT ဖြေရှင်းချက်များ၏ အခြေခံအဆောက်အအုံများကို သင်ယူပါ၊ ဥပမာ-အာရုံခံကိရိယာများနှင့် cloud services များ၊ သင်၏ ပထမဆုံး IoT စက်ကို စတင်တပ်ဆင်ပါ။ |                      [IoT အကြောင်းမိတ်ဆက်](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [စတင်ခြင်း](./1-getting-started/README.md) |                   IoT အကြောင်းပိုမိုနက်နက်ရှိုင်းရှင်း                    | IoT စနစ်၏ အစိတ်အပိုင်းများနှင့် microcontrollers နှင့် single-board computers အကြောင်းပိုမိုသိရှိပါ။                                                            |                        [IoT အကြောင်းပိုမိုနက်နက်ရှိုင်းရှင်း](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [စတင်ခြင်း](./1-getting-started/README.md) | အာရုံခံကိရိယာများနှင့် actuator များဖြင့် ရုပ်ပိုင်းဆိုင်ရာကမ္ဘာနှင့် အပြန်အလှန်ဆက်သွယ်ပါ | ရုပ်ပိုင်းဆိုင်ရာကမ္ဘာမှ ဒေတာများကို စုဆောင်းရန်အတွက် အာရုံခံကိရိယာများနှင့် အပြန်အလှန်တုံ့ပြန်မှုများပေးရန် actuator များအကြောင်းကို သင်ယူပါ၊ ညဉ့်အလင်းတစ်ခုကို တည်ဆောက်ပါ။                                           | [အာရုံခံကိရိယာများနှင့် actuator များဖြင့် ရုပ်ပိုင်းဆိုင်ရာကမ္ဘာနှင့် အပြန်အလှန်ဆက်သွယ်ပါ](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [စတင်ခြင်း](./1-getting-started/README.md) |             သင့်စက်ကို အင်တာနက်နှင့် ချိတ်ဆက်ပါ             | IoT စက်ကို အင်တာနက်နှင့် ချိတ်ဆက်ပြီး သတင်းစကားများပို့ခြင်းနှင့် လက်ခံခြင်းအကြောင်းကို သင်ယူပါ၊ MQTT broker သို့ သင့်ညဉ့်အလင်းကို ချိတ်ဆက်ပါ။                               |               [သင့်စက်ကို အင်တာနက်နှင့် ချိတ်ဆက်ပါ](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [ခြံ](./2-farm/README.md)            |                    အပင်ကြီးထွားမှုကို ခန့်မှန်းပါ                     | IoT စက်မှ စုဆောင်းထားသော အပူချိန်ဒေတာကို အသုံးပြု၍ အပင်ကြီးထွားမှုကို ခန့်မှန်းနိုင်ရန် သင်ယူပါ။                                                                                  |                          [အပင်ကြီးထွားမှုကို ခန့်မှန်းပါ](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [ခြံ](./2-farm/README.md)            |                    မြေစိုထိုင်းဆကို ရှာဖွေပါ                     | မြေစိုထိုင်းဆကို ရှာဖွေခြင်းနှင့် မြေစိုထိုင်းဆအာရုံခံကိရိယာကို ချိန်ညှိခြင်းအကြောင်းကို သင်ယူပါ။                                                                                              |                          [မြေစိုထိုင်းဆကို ရှာဖွေပါ](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [ခြံ](./2-farm/README.md)            |                  အပင်ရေချိုးခြင်းကို အလိုအလျောက်လုပ်ဆောင်ပါ                   | relay နှင့် MQTT ကို အသုံးပြု၍ အပင်ရေချိုးခြင်းကို အလိုအလျောက်လုပ်ဆောင်ခြင်းနှင့် အချိန်ညှိခြင်းအကြောင်းကို သင်ယူပါ။                                                                                                      |                      [အပင်ရေချိုးခြင်းကို အလိုအလျောက်လုပ်ဆောင်ပါ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [ခြံ](./2-farm/README.md)            |               သင့်အပင်ကို cloud သို့ ပြောင်းရွှေ့ပါ               | cloud နှင့် cloud-hosted IoT services အကြောင်းနှင့် public MQTT broker တစ်ခုအစား သင့်အပင်ကို cloud-hosted IoT service တစ်ခုနှင့် ချိတ်ဆက်ခြင်းအကြောင်းကို သင်ယူပါ။                                   |               [သင့်အပင်ကို cloud သို့ ပြောင်းရွှေ့ပါ](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [ခြံ](./2-farm/README.md)            |         သင့် application logic ကို cloud သို့ ပြောင်းရွှေ့ပါ         | IoT messages များကို တုံ့ပြန်သော application logic ကို cloud တွင် ရေးသားနိုင်ပုံအကြောင်းကို သင်ယူပါ။                                                                          |         [သင့် application logic ကို cloud သို့ ပြောင်းရွှေ့ပါ](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [ခြံ](./2-farm/README.md)            |                   သင့်အပင်ကို လုံခြုံစေပါ                    | IoT နှင့် လုံခြုံရေးအကြောင်းနှင့် သင့်အပင်ကို key များနှင့် certificates များဖြင့် လုံခြုံစေခြင်းအကြောင်းကို သင်ယူပါ။                                                                          |                        [သင့်အပင်ကို လုံခြုံစေပါ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [သယ်ယူပို့ဆောင်ရေး](./3-transport/README.md)       |                      တည်နေရာကို ခြေရာခံပါ                      | IoT စက်များအတွက် GPS တည်နေရာခြေရာခံခြင်းအကြောင်းကို သင်ယူပါ။                                                                                                                   |                           [တည်နေရာကို ခြေရာခံပါ](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [သယ်ယူပို့ဆောင်ရေး](./3-transport/README.md)       |                     တည်နေရာဒေတာကို သိမ်းဆည်းပါ                     | IoT ဒေတာကို သိမ်းဆည်းပြီး နောက်ပိုင်းတွင် မြင်ကွင်းချင်းဆိုင်ရာ သို့မဟုတ် ခွဲခြမ်းစိတ်ဖြာနိုင်ရန် သင်ယူပါ။                                                                                                      |                         [တည်နေရာဒေတာကို သိမ်းဆည်းပါ](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [သယ်ယူပို့ဆောင်ရေး](./3-transport/README.md)       |                   တည်နေရာဒေတာကို မြင်ကွင်းချင်းဆိုင်ပါ                   | မြေပုံတွင် တည်နေရာဒေတာကို မြင်ကွင်းချင်းဆိုင်ခြင်းနှင့် မြေပုံများသည် 3D ကမ္ဘာကို 2D အဖြစ် ကိုယ်စားပြုပုံအကြောင်းကို သင်ယူပါ။                                                            |                     [တည်နေရာဒေတာကို မြင်ကွင်းချင်းဆိုင်ပါ](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [သယ်ယူပို့ဆောင်ရေး](./3-transport/README.md)       |                          Geofences                          | Geofences အကြောင်းနှင့် supply chain တွင်ရှိသော ယာဉ်များသည် သွားရောက်ရမည့် destination အနီးတွင်ရှိသောအခါ သတိပေးနိုင်ပုံအကြောင်းကို သင်ယူပါ။                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [ထုတ်လုပ်မှု](./4-manufacturing/README.md)   |               အသီးအရည်အသွေးကို စစ်ဆေးရန် detector တစ်ခုကို လေ့ကျင့်ပါ                | cloud တွင် image classifier တစ်ခုကို အသီးအရည်အသွေးကို စစ်ဆေးရန် လေ့ကျင့်ခြင်းအကြောင်းကို သင်ယူပါ။                                                                                       |                 [အသီးအရည်အသွေးကို စစ်ဆေးရန် detector တစ်ခုကို လေ့ကျင့်ပါ](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [ထုတ်လုပ်မှု](./4-manufacturing/README.md)   |           IoT စက်မှ အသီးအရည်အသွေးကို စစ်ဆေးပါ            | IoT စက်မှ အသီးအရည်အသွေးကို စစ်ဆေးရန် သင့် detector ကို အသုံးပြုခြင်းအကြောင်းကို သင်ယူပါ။                                                                                                    |           [IoT စက်မှ အသီးအရည်အသွေးကို စစ်ဆေးပါ](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [ထုတ်လုပ်မှု](./4-manufacturing/README.md)   |             သင့် detector ကို edge တွင် အလုပ်လုပ်စေပါ             | edge တွင် IoT စက်မှ သင့် detector ကို အလုပ်လုပ်စေခြင်းအကြောင်းကို သင်ယူပါ။                                                                                                |             [သင့် detector ကို edge တွင် အလုပ်လုပ်စေပါ](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [ထုတ်လုပ်မှု](./4-manufacturing/README.md)   |        အာရုံခံကိရိယာမှ အသီးအရည်အသွေးစစ်ဆေးမှုကို trigger လုပ်ပါ        | အာရုံခံကိရိယာမှ အသီးအရည်အသွေးစစ်ဆေးမှုကို trigger လုပ်ခြင်းအကြောင်းကို သင်ယူပါ။                                                                                                        |        [အာရုံခံကိရိယာမှ အသီးအရည်အသွေးစစ်ဆေးမှုကို trigger လုပ်ပါ](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [လက်လီ](./5-retail/README.md)          |                   စတော့ရှယ်ယာ detector ကို လေ့ကျင့်ပါ                    | object detection ကို အသုံးပြု၍ စတော့ရှယ်ယာ detector ကို လေ့ကျင့်ပြီး ဆိုင်တွင် စတော့ရှယ်ယာကို ရေတွက်နိုင်ရန် သင်ယူပါ။                                                                                |                        [စတော့ရှယ်ယာ detector ကို လေ့ကျင့်ပါ](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [လက်လီ](./5-retail/README.md)          |               IoT စက်မှ စတော့ရှယ်ယာကို စစ်ဆေးပါ                | object detection model ကို အသုံးပြု၍ IoT စက်မှ စတော့ရှယ်ယာကို စစ်ဆေးခြင်းအကြောင်းကို သင်ယူပါ။                                                                                         |                     [IoT စက်မှ စတော့ရှယ်ယာကို စစ်ဆေးပါ](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [စားသုံးသူ](./6-consumer/README.md)        |             IoT စက်မှ စကားသံကို အသိအမှတ်ပြုပါ             | IoT စက်မှ စကားသံကို အသိအမှတ်ပြု၍ smart timer တစ်ခုကို တည်ဆောက်ခြင်းအကြောင်းကို သင်ယူပါ။                                                                                             |                  [IoT စက်မှ စကားသံကို အသိအမှတ်ပြုပါ](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [စားသုံးသူ](./6-consumer/README.md)        |                     ဘာသာစကားကို နားလည်ပါ                     | IoT စက်ကို ပြောသော စာကြောင်းများကို နားလည်နိုင်ရန် သင်ယူပါ။                                                                                                           |                        [ဘာသာစကားကို နားလည်ပါ](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [စားသုံးသူ](./6-consumer/README.md)        |           timer တစ်ခုကို သတ်မှတ်ပြီး စကားပြော feedback ပေးပါ           | IoT စက်တွင် timer တစ်ခုကို သတ်မှတ်ပြီး timer သတ်မှတ်ချိန်နှင့် ပြီးဆုံးချိန်တွင် စကားပြော feedback ပေးခြင်းအကြောင်းကို သင်ယူပါ။                                                    |                 [timer တစ်ခုကို သတ်မှတ်ပြီး စကားပြော feedback ပေးပါ](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [စားသုံးသူ](./6-consumer/README.md)        |                 ဘာသာစကားများစွာကို ပံ့ပိုးပါ                  | သင့် smart timer သို့ ပြောသော ဘာသာစကားများနှင့် timer ၏ တုံ့ပြန်မှုများကို ဘာသာစကားများစွာပံ့ပိုးနိုင်ရန် သင်ယူပါ။                                                               |                   [ဘာသာစကားများစွာကို ပံ့ပိုးပါ](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
-ဤစာတမ်းများကို [Docsify](https://docsify.js.org/#/) ကို အသုံးပြု၍ အွန်လိုင်းမရှိသောအခါတွင် အသုံးပြုနိုင်ပါသည်။ ဤ repo ကို Fork လုပ်ပြီး [Docsify ကို install လုပ်ပါ](https://docsify.js.org/#/quickstart) သင့် local machine တွင် ထည့်သွင်းပါ၊ ထို့နောက် repo ၏ root folder တွင် `docsify serve` ဟု ရိုက်ထည့်ပါ။ website ကို localhost: `localhost:3000` တွင် port 3000 တွင် ဖွင့်လို့ရပါမည်။
+## အွန်လိုင်းမဟုတ်သော အသုံးပြုမှု
 
-## Quiz
+ဤစာရွက်စာတမ်းကို [Docsify](https://docsify.js.org/#/) ကို အသုံးပြု၍ အွန်လိုင်းမဟုတ်သောအနေအထားတွင် အလုပ်လုပ်စေနိုင်သည်။ ဤ repo ကို fork လုပ်ပြီး [Docsify ကို install လုပ်ပါ](https://docsify.js.org/#/quickstart) သင့်ဒေသတွင်းစက်တွင် ထည့်သွင်းပါ၊ ထို့နောက် repo ၏ root ဖိုလ်ဒါတွင် `docsify serve` ကို ရိုက်ထည့်ပါ။ website ကို သင့် localhost ၏ port 3000 တွင် အလုပ်လုပ်စေပါမည်: `localhost:3000`။
 
-ဤစာတမ်းများ၏ အခန်းတစ်ခုချင်းစီအပေါ် သင့်အသိပညာကို စမ်းသပ်ရန် interactive quiz ကို community မှ host လုပ်ပေးထားပါသည်။ [ဒီမှာ](https://ff-quizzes.netlify.app/en/) သင့်အသိပညာကို စမ်းသပ်ပါ 
+## မေးခွန်း
+
+ဤ chapter များ၏ knowledge ကို စမ်းသပ်ရန် interactive quiz ကို community မှ hosting လုပ်ပေးထားသည်။ သင့် knowledge ကို [ဒီမှာ](https://ff-quizzes.netlify.app/en/) စမ်းသပ်ပါ။
 
 ### PDF
 
-ဤအကြောင်းအရာ၏ PDF ကို အွန်လိုင်းမရှိသောအခါတွင် အသုံးပြုရန် လိုအပ်ပါက ဖန်တီးနိုင်ပါသည်။ ဤအရာကို ပြုလုပ်ရန် [npm ကို install လုပ်ထားပါ](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) နှင့် repo ၏ root folder တွင် အောက်ပါ command များကို run လုပ်ပါ။
+လိုအပ်ပါက ဤ content ၏ PDF ကို offline access အတွက် ထုတ်လုပ်နိုင်သည်။ ဤအလုပ်ကိုလုပ်ရန် [npm install လုပ်ထား](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ရန် သေချာစေပြီး၊ repo ၏ root ဖိုလ်ဒါတွင် အောက်ပါ command များကို run လုပ်ပါ:
 
 ```sh
 npm i
@@ -137,30 +131,23 @@ npm run convert
 
 ### Slides
 
-အခန်းတစ်ချို့တွင် [slides](../../slides) folder တွင် slide deck များရှိပါသည်။
+သင်ခန်းစာအချို့အတွက် slide decks များကို [slides](../../slides) ဖိုလ်ဒါတွင် ရှိသည်။
 
-## အခြားသော သင်ခန်းစာများ
+## အခြားသင်ကြားမှုများ
 
-ကျွန်ုပ်တို့၏အဖွဲ့သည် အခြားသော သင်ခန်းစာများကို ထုတ်လုပ်ပါသည်! ကြည့်ရှုပါ:
+ကျွန်ုပ်တို့၏အဖွဲ့သည် အခြားသင်ကြားမှုများကို ထုတ်လုပ်ပါသည်! ကြည့်ရှုပါ:
 
 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
-
----
- 
-### Generative AI Series
-[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[
 [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Core Learning
+
+### အဓိက သင်ကြားမှုများ
 [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
@@ -177,11 +164,13 @@ npm run convert
 [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## ပုံများ၏ အကျိုးခံစားခွင့်
+## ပုံများအတွက် အကျိုးဆောင်မှုများ
 
-ဤသင်ခန်းစာတွင် အသုံးပြုထားသော ပုံများ၏ အကျိုးခံစားခွင့်များကို [Attributions](./attributions.md) တွင် ရှာဖွေနိုင်ပါသည်။
+ဤသင်ရိုးညွှန်းတန်းတွင် အသုံးပြုထားသော ပုံများအတွက် အကျိုးဆောင်မှုများကို [Attributions](./attributions.md) တွင် ရှာဖွေနိုင်ပါသည်။
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **အကြောင်းကြားချက်**:  
-ဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) ကို အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှုအတွက် ကြိုးစားနေသော်လည်း အလိုအလျောက် ဘာသာပြန်မှုများတွင် အမှားများ သို့မဟုတ် မမှန်ကန်မှုများ ပါဝင်နိုင်သည်ကို သတိပြုပါ။ မူရင်းဘာသာစကားဖြင့် ရေးသားထားသော စာရွက်စာတမ်းကို အာဏာတရားရှိသော အရင်းအမြစ်အဖြစ် သတ်မှတ်သင့်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် လူက ဘာသာပြန်မှုကို အကြံပြုပါသည်။ ဤဘာသာပြန်မှုကို အသုံးပြုခြင်းမှ ဖြစ်ပေါ်လာသော အလွဲအမှားများ သို့မဟုတ် အနားလွဲမှုများအတွက် ကျွန်ုပ်တို့သည် တာဝန်မယူပါ။
\ No newline at end of file
+ဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) ကို အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှုအတွက် ကြိုးစားနေသော်လည်း အလိုအလျောက် ဘာသာပြန်မှုများတွင် အမှားများ သို့မဟုတ် မမှန်ကန်မှုများ ပါဝင်နိုင်သည်ကို သတိပြုပါ။ မူရင်းဘာသာစကားဖြင့် ရေးသားထားသော စာရွက်စာတမ်းကို အာဏာတရားရှိသော အရင်းအမြစ်အဖြစ် သတ်မှတ်သင့်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် လူက ဘာသာပြန်မှုကို အကြံပြုပါသည်။ ဤဘာသာပြန်မှုကို အသုံးပြုခြင်းမှ ဖြစ်ပေါ်လာသော အလွဲအမှားများ သို့မဟုတ် အနားယူမှုများအတွက် ကျွန်ုပ်တို့သည် တာဝန်မယူပါ။
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ne/README.md b/translations/ne/README.md
index 05d8506de..6977d2a5c 100644
--- a/translations/ne/README.md
+++ b/translations/ne/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:05:08+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:31:17+00:00",
   "source_file": "README.md",
   "language_code": "ne"
 }
@@ -17,118 +17,123 @@ CO_OP_TRANSLATOR_METADATA:
 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
 [![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Azure AI Foundry समुदायमा सामेल हुनुहोस् 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Azure AI Foundry समुदायमा सामेल हुनुहोस्
 
-यी स्रोतहरू प्रयोग गर्न सुरु गर्नका लागि तलका चरणहरू अनुसरण गर्नुहोस्:
-1. **रेपोजिटरी फोर्क गर्नुहोस्**: क्लिक गर्नुहोस् [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **रेपोजिटरी क्लोन गर्नुहोस्**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord मा सामेल हुनुहोस् र विशेषज्ञहरू तथा अन्य डेभलपरहरूसँग भेट्नुहोस्**](https://discord.com/invite/ByRwuEEgH4)
+यदि तपाईं समस्यामा पर्नुहुन्छ वा AI एप्स निर्माणको बारेमा कुनै प्रश्न छ भने। MCP सम्बन्धी छलफलमा अन्य सिक्नेहरू र अनुभवी विकासकर्ताहरूमा सामेल हुनुहोस्। यो सहयोगी समुदाय हो जहाँ प्रश्नहरू स्वागत गरिन्छ र ज्ञान स्वतन्त्र रूपमा साझा गरिन्छ।
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+यदि तपाईंलाई उत्पादन सम्बन्धी प्रतिक्रिया दिनु छ वा निर्माणको क्रममा त्रुटिहरू छन् भने:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+यी स्रोतहरू प्रयोग गर्न सुरु गर्नका लागि निम्न चरणहरू अनुसरण गर्नुहोस्:
+1. **रिपोजिटरीलाई Fork गर्नुहोस्**: क्लिक गर्नुहोस् [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **रिपोजिटरीलाई Clone गर्नुहोस्**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Microsoft Foundry Discord मा सामेल हुनुहोस् र विशेषज्ञहरू तथा अन्य विकासकर्ताहरूलाई भेट्नुहोस्**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 बहुभाषी समर्थन
 
 #### GitHub Action मार्फत समर्थित (स्वचालित र सधैं अद्यावधिक)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](./README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT for Beginners - पाठ्यक्रम
 
-Microsoft का Azure Cloud Advocates ले IoT को आधारभूत कुराहरू समेट्ने १२ हप्ताको, २४ पाठहरूको पाठ्यक्रम प्रस्तुत गर्न पाउँदा खुसी छन्। प्रत्येक पाठमा पाठ अघि र पछि क्विजहरू, पाठ पूरा गर्नका लागि लेखिएका निर्देशनहरू, समाधान, असाइनमेन्ट र अन्य सामग्री समावेश छन्। हाम्रो परियोजना-आधारित शिक्षण विधिले निर्माण गर्दै सिक्न मद्दत गर्दछ, नयाँ सीपहरू 'टिक्न' को लागि प्रमाणित तरिका।
+Microsoft का Azure Cloud Advocates ले IoT को आधारभूत कुराहरूको बारेमा १२ हप्ताको, २४ पाठको पाठ्यक्रम प्रदान गर्न पाउँदा खुशी छन्। प्रत्येक पाठमा पाठ अघि र पछि क्विजहरू, पाठ पूरा गर्नका लागि लिखित निर्देशनहरू, समाधान, असाइनमेन्ट र अन्य धेरै समावेश छन्। हाम्रो परियोजना-आधारित शिक्षणले तपाईंलाई निर्माण गर्दा सिक्न अनुमति दिन्छ, नयाँ सीपहरू 'टिक्न' को लागि प्रमाणित तरिका।
 
-परियोजनाहरूले खेतबाट टेबलसम्मको खाना यात्रा समेट्छ। यसमा खेती, ढुवानी, निर्माण, खुद्रा बिक्री र उपभोक्ता - IoT उपकरणहरूको लागि लोकप्रिय उद्योग क्षेत्रहरू समावेश छन्।
+परियोजनाहरूले खेतबाट टेबलसम्मको खाना यात्रा समेट्छ। यसमा खेती, ढुवानी, निर्माण, खुद्रा र उपभोक्ता - IoT उपकरणहरूको लागि लोकप्रिय उद्योग क्षेत्रहरू समावेश छन्।
 
-![पाठ्यक्रमको रोडम्याप जसमा परिचय, खेती, ढुवानी, प्रशोधन, खुद्रा बिक्री र खाना पकाउने २४ पाठहरू समेटिएको छ](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ne.jpg)
+![पाठ्यक्रमको लागि रोडम्याप जसले परिचय, खेती, यातायात, प्रशोधन, खुद्रा र खाना पकाउने समेट्ने २४ पाठहरू देखाउँछ](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ne.jpg)
 
-> स्केच नोट [नित्या नरसिम्हन](https://github.com/nitya) द्वारा। ठूलो संस्करणको लागि तस्बिरमा क्लिक गर्नुहोस्।
+> [नित्य नरसिम्हन](https://github.com/nitya) द्वारा स्केच नोट। ठूलो संस्करणको लागि छवि क्लिक गर्नुहोस्।
 
-**हाम्रा लेखकहरू [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), र स्केच नोट कलाकार [नित्या नरसिम्हन](https://github.com/nitya) लाई हार्दिक धन्यवाद।**
+**हाम्रो लेखकहरू [जेन फक्स](https://github.com/jenfoxbot), [जेन लूपर](https://github.com/jlooper), [जिम बेनेट](https://github.com/jimbobbennett), र हाम्रो स्केच नोट कलाकार [नित्य नरसिम्हन](https://github.com/nitya) लाई हार्दिक धन्यवाद।**
 
-**Microsoft Learn Student Ambassadors को हाम्रो टोलीलाई पनि धन्यवाद जसले यो पाठ्यक्रम समीक्षा र अनुवाद गरिरहेका छन् - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), र [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)।**
+**साथै हाम्रो [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) को टोलीलाई धन्यवाद जसले यो पाठ्यक्रम समीक्षा र अनुवाद गरिरहेका छन् - [आदित्य गर्ग](https://github.com/AdityaGarg00), [अनुराग शर्मा](https://github.com/Anurag-0-1-A), [अर्पिता दास](https://github.com/Arpiiitaaa), [आर्यन जैन](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [भावेश सुनेजा](https://github.com/EliteWarrior315), [फेथ हुञ्जा](https://faithhunja.github.io/), [लतीफा बेलो](https://www.linkedin.com/in/lateefah-bello/), [मानवी झा](https://github.com/Severus-Matthew), [मिरेइल तान](https://www.linkedin.com/in/mireille-tan-a4834819a/), [मोहम्मद इफ्तेखेर (इफ्तु) इब्ने जलाल](https://github.com/Iftu119), [मोहम्मद जुल्फिकार](https://github.com/mohzulfikar), [प्रियांशु श्रीवास्तव](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [थनमाई गौडुचेरुवु](https://github.com/innovation-platform), र [जिना कामेल](https://www.linkedin.com/in/zina-kamel/)।**
 
 टोलीलाई भेट्नुहोस्!
 
 [![प्रोमो भिडियो](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
-**Gif द्वारा** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Gif द्वारा** [मोहित जैसल](https://linkedin.com/in/mohitjaisal)
 
-> 🎥 माथिको तस्बिरमा क्लिक गरेर परियोजनाको बारेमा भिडियो हेर्नुहोस्!
+> 🎥 माथिको छवि क्लिक गर्नुहोस् परियोजनाको बारेमा भिडियो हेर्न!
 
-> **शिक्षकहरू**, हामीले यो पाठ्यक्रम कसरी प्रयोग गर्ने भन्ने सुझावहरू [यहाँ समावेश गरेका छौं](for-teachers.md)। यदि तपाईं आफ्नै पाठहरू सिर्जना गर्न चाहनुहुन्छ भने, हामीले [पाठ टेम्प्लेट](lesson-template/README.md) पनि समावेश गरेका छौं।
+> **शिक्षकहरू**, हामीले [केही सुझावहरू समावेश गरेका छौं](for-teachers.md) यो पाठ्यक्रम कसरी प्रयोग गर्ने। यदि तपाईं आफ्नै पाठहरू सिर्जना गर्न चाहनुहुन्छ भने, हामीले [पाठ टेम्पलेट](lesson-template/README.md) पनि समावेश गरेका छौं।
 
-> **[विद्यार्थीहरू](https://aka.ms/student-page)**, यो पाठ्यक्रमलाई आफैं प्रयोग गर्न, सम्पूर्ण रेपोजिटरी फोर्क गर्नुहोस् र अभ्यासहरू आफैं पूरा गर्नुहोस्, पाठ अघि क्विजबाट सुरु गर्दै, त्यसपछि पाठ पढ्दै र अन्य गतिविधिहरू पूरा गर्दै। समाधान कोड नक्कल नगरी पाठहरू बुझेर परियोजनाहरू सिर्जना गर्ने प्रयास गर्नुहोस्; तर त्यो कोड प्रत्येक परियोजना-उन्मुख पाठको /solutions फोल्डरमा उपलब्ध छ। अर्को विचार भनेको साथीहरूसँग अध्ययन समूह बनाउनु र सामग्री सँगै अध्ययन गर्नु हो। थप अध्ययनको लागि, हामी [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) सिफारिस गर्छौं।
+> **[विद्यार्थीहरू](https://aka.ms/student-page)**, यो पाठ्यक्रमलाई आफैं प्रयोग गर्नका लागि, सम्पूर्ण रिपोजिटरीलाई fork गर्नुहोस् र आफैं अभ्यासहरू पूरा गर्नुहोस्, प्रि-लेक्चर क्विजबाट सुरु गर्दै, त्यसपछि लेक्चर पढ्दै र अन्य गतिविधिहरू पूरा गर्दै। समाधान कोडलाई नक्कल नगरी पाठहरू बुझेर परियोजनाहरू सिर्जना गर्ने प्रयास गर्नुहोस्; यद्यपि त्यो कोड प्रत्येक परियोजना-उन्मुख पाठको /solutions फोल्डरहरूमा उपलब्ध छ। अर्को विचार भनेको साथीहरूसँग अध्ययन समूह बनाउनु र सामग्री सँगै जानु हो। थप अध्ययनको लागि, हामी [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) सिफारिस गर्छौं।
 
 यस पाठ्यक्रमको भिडियो अवलोकनको लागि, यो भिडियो हेर्नुहोस्:
 
-[![प्रोमो भिडियो](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+[![प्रोमो भिडियो](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "प्रोमो भिडियो")
 
-> 🎥 माथिको तस्बिरमा क्लिक गरेर परियोजनाको बारेमा भिडियो हेर्नुहोस्!
+> 🎥 माथिको छवि क्लिक गर्नुहोस् परियोजनाको बारेमा भिडियो हेर्न!
 
 ## शिक्षण विधि
 
-हामीले यो पाठ्यक्रम निर्माण गर्दा दुई शिक्षण विधिहरू रोजेका छौं: सुनिश्चित गर्नु कि यो परियोजना-आधारित हो र यसमा बारम्बार क्विजहरू समावेश छन्। यो श्रृंखलाको अन्त्यसम्ममा, विद्यार्थीहरूले बिरुवा अनुगमन र पानी दिने प्रणाली, सवारी साधन ट्र्याकर, स्मार्ट कारखाना सेटअप खाना ट्र्याक र जाँच गर्न, र आवाज-नियन्त्रित खाना पकाउने टाइमर निर्माण गरेका हुनेछन्, र IoT को आधारभूत कुराहरू सिकेका हुनेछन् जस्तै उपकरण कोड लेख्ने, क्लाउडसँग जडान गर्ने, टेलिमेट्री विश्लेषण गर्ने र किनारमा AI चलाउने।
+हामीले यो पाठ्यक्रम निर्माण गर्दा दुई शिक्षण विधिहरू रोजेका छौं: सुनिश्चित गर्नु कि यो परियोजना-आधारित छ र यसमा बारम्बार क्विजहरू समावेश छन्। यो श्रृंखलाको अन्त्यसम्ममा, विद्यार्थीहरूले बिरुवा अनुगमन र पानी दिने प्रणाली, सवारी साधन ट्र्याकर, स्मार्ट कारखाना सेटअप खाना ट्र्याक र जाँच गर्न, र आवाज-नियन्त्रित खाना पकाउने टाइमर निर्माण गरेका हुनेछन्, र इन्टरनेट अफ थिंग्सको आधारभूत कुराहरू सिकेका हुनेछन् जसमा उपकरण कोड लेख्ने, क्लाउडमा जडान गर्ने, टेलिमेट्री विश्लेषण गर्ने र किनारमा AI चलाउने समावेश छ।
 
-सुनिश्चित गरेर कि सामग्री परियोजनासँग मेल खान्छ, प्रक्रिया विद्यार्थीहरूको लागि थप आकर्षक बनाइन्छ र अवधारणाहरूको सम्झना बढाइन्छ।
+सामग्री परियोजनासँग मेल खाने सुनिश्चित गरेर, प्रक्रिया विद्यार्थीहरूको लागि थप आकर्षक बनाइन्छ र अवधारणाहरूको सम्झना बढाइन्छ।
 
-त्यसैगरी, कक्षाको अघि कम दबाबको क्विजले विद्यार्थीलाई विषय सिक्नको लागि ध्यान केन्द्रित गर्न मद्दत गर्दछ, जबकि कक्षापछि अर्को क्विजले थप सम्झना सुनिश्चित गर्दछ। यो पाठ्यक्रम लचिलो र रमाइलो बनाउन डिजाइन गरिएको हो र पूर्ण वा आंशिक रूपमा लिन सकिन्छ। परियोजनाहरू साना बाट सुरु हुन्छन् र १२ हप्ताको चक्रको अन्त्यसम्ममा क्रमशः जटिल बन्छन्।
+साथै, कक्षा अघि कम-जोखिमको क्विजले विद्यार्थीलाई विषय सिक्नको लागि उद्देश्य सेट गर्दछ, जबकि कक्षा पछि दोस्रो क्विजले थप सम्झना सुनिश्चित गर्दछ। यो पाठ्यक्रम लचिलो र रमाइलो बनाउन डिजाइन गरिएको हो र पूर्ण वा आंशिक रूपमा लिन सकिन्छ। परियोजनाहरू साना सुरु हुन्छन् र १२ हप्ताको चक्रको अन्त्यसम्ममा क्रमशः जटिल बन्छन्।
 
-प्रत्येक परियोजना वास्तविक हार्डवेयरमा आधारित छ जुन विद्यार्थीहरू र शौखिनहरूलाई उपलब्ध छ। प्रत्येक परियोजनाले विशिष्ट परियोजना डोमेनमा हेर्छ, सम्बन्धित पृष्ठभूमि ज्ञान प्रदान गर्दै। सफल डेभलपर बन्नको लागि तपाईं समस्याहरू समाधान गरिरहेको डोमेन बुझ्न मद्दत गर्दछ, यो पृष्ठभूमि ज्ञानले विद्यार्थीहरूलाई उनीहरूको IoT समाधानहरू र सिकाइहरू वास्तविक संसारको समस्याको सन्दर्भमा सोच्न अनुमति दिन्छ जुन उनीहरूलाई IoT डेभलपरको रूपमा समाधान गर्न भनिएको हुन सक्छ। विद्यार्थीहरूले निर्माण गरिरहेका समाधानहरूको 'किन' सिक्छन्, र अन्तिम प्रयोगकर्ताको प्रशंसा प्राप्त गर्छन्।
+प्रत्येक परियोजना विद्यार्थीहरू र शौखिनहरूलाई उपलब्ध वास्तविक-विश्व हार्डवेयरको वरिपरि आधारित छ। प्रत्येक परियोजनाले विशिष्ट परियोजना डोमेनमा हेर्छ, सम्बन्धित पृष्ठभूमि ज्ञान प्रदान गर्दै। सफल विकासकर्ता बन्नका लागि तपाईं समस्याहरू समाधान गरिरहेको डोमेनलाई बुझ्न मद्दत गर्दछ, यो पृष्ठभूमि ज्ञानले विद्यार्थीहरूलाई उनीहरूको IoT समाधानहरू र सिकाइहरू वास्तविक-विश्व समस्याको सन्दर्भमा सोच्न अनुमति दिन्छ जुन उनीहरूलाई IoT विकासकर्ता रूपमा समाधान गर्न भनिएको हुन सक्छ। विद्यार्थीहरूले निर्माण गरिरहेका समाधानहरूको 'किन' सिक्छन्, र अन्तिम प्रयोगकर्ताको प्रशंसा प्राप्त गर्छन्।
 
 ## हार्डवेयर
 
-हामीसँग परियोजनाहरूको लागि IoT हार्डवेयरको दुई विकल्पहरू छन् जुन व्यक्तिगत प्राथमिकता, प्रोग्रामिङ भाषा ज्ञान वा प्राथमिकता, सिकाइ लक्ष्यहरू र उपलब्धतामा निर्भर गर्दछ। हामीले 'भर्चुअल हार्डवेयर' संस्करण पनि प्रदान गरेका छौं जसले हार्डवेयरको पहुँच नभएका वा खरिद गर्न प्रतिबद्ध हुनु अघि थप सिक्न चाहनेहरूलाई मद्दत गर्दछ। तपाईं [हार्डवेयर पृष्ठ](./hardware.md) मा थप पढ्न सक्नुहुन्छ र 'किनमेल सूची' पाउन सक्नुहुन्छ, जसमा Seeed Studio का साथीहरूबाट पूर्ण किटहरू किन्ने लिंकहरू समावेश छन्।
+परियोजनाहरूको लागि IoT हार्डवेयरको दुई विकल्पहरू छन् व्यक्तिगत प्राथमिकता, प्रोग्रामिङ भाषा ज्ञान वा प्राथमिकता, सिकाइ लक्ष्यहरू र उपलब्धतामा निर्भर गर्दै। हामीले 'भर्चुअल हार्डवेयर' संस्करण पनि प्रदान गरेका छौं जसले हार्डवेयरको पहुँच नभएका वा खरिद गर्न प्रतिबद्ध हुनु अघि थप सिक्न चाहनेहरूलाई मद्दत गर्दछ। तपाईं [हार्डवेयर पृष्ठ](./hardware.md) मा थप पढ्न सक्नुहुन्छ र हाम्रो साथीहरू Seeed Studio बाट पूर्ण किटहरू किन्नका लागि लिंकहरू फेला पार्न सक्नुहुन्छ।
 
-> 💁 हाम्रो [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), र [Translation](TRANSLATIONS.md) दिशानिर्देशहरू पत्ता लगाउनुहोस्। हामी तपाईंको रचनात्मक प्रतिक्रिया स्वागत गर्दछौं!
+> 💁 हाम्रो [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), र [Translation](TRANSLATIONS.md) दिशानिर्देशहरू फेला पार्नुहोस्। हामी तपाईंको रचनात्मक प्रतिक्रिया स्वागत गर्दछौं!
 
-## प्रत्येक पाठमा समावेश छन्:
+## प्रत्येक पाठमा समावेश छ:
 
 - स्केच नोट
 - वैकल्पिक पूरक भिडियो
 - पाठ अघि वार्मअप क्विज
-- लेखिएको पाठ
+- लिखित पाठ
 - परियोजना-आधारित पाठहरूको लागि, परियोजना निर्माण गर्ने चरण-दर-चरण मार्गदर्शन
 - ज्ञान जाँच
 - चुनौती
 - पूरक पढाइ
 - असाइनमेन्ट
 - [पाठ पछि क्विज](https://ff-quizzes.netlify.app/en/)
-
-> **क्विजहरूको बारेमा नोट**: सबै क्विजहरू quiz-app फोल्डरमा समावेश छन्, प्रत्येकमा तीन प्रश्नका ४८ कुल क्विजहरू। तिनीहरू पाठहरू भित्र लिंक गरिएका छन् तर quiz-app स्थानीय रूपमा चलाउन वा Azure मा तैनात गर्न सकिन्छ; `quiz-app` फोल्डरमा निर्देशनहरू अनुसरण गर्नुहोस्। तिनीहरू क्रमशः स्थानीयकरण हुँदैछन्।
+> **क्विजहरूको बारेमा नोट**: सबै क्विजहरू `quiz-app` फोल्डरमा समावेश छन्, जसमा प्रत्येकमा तीन प्रश्नसहित ४८ वटा क्विजहरू छन्। यी पाठहरूभित्र लिंक गरिएका छन्, तर क्विज एपलाई स्थानीय रूपमा चलाउन वा Azure मा डिप्लोय गर्न सकिन्छ; `quiz-app` फोल्डरमा रहेको निर्देशनहरू पालना गर्नुहोस्। यी क्रमशः स्थानीयकरण हुँदैछन्।
 
 ## पाठहरू
 
-|       |              परियोजनाको नाम              |                       सिकाइ अवधारणाहरू                       | सिकाइ उद्देश्यहरू                                                                                                                                                 |                                                        लिंक गरिएको पाठ                                                         |
+|       |              परियोजनाको नाम              |                       सिकाइने अवधारणाहरू                       | सिकाइका उद्देश्यहरू                                                                                                                                                 |                                                        सम्बन्धित पाठ                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [सुरु गर्दै](./1-getting-started/README.md) |                     IoT को परिचय                     | IoT का आधारभूत सिद्धान्तहरू र IoT समाधानका आधारभूत निर्माण ब्लकहरू जस्तै सेन्सर र क्लाउड सेवाहरू सिक्नुहोस्, जब तपाईं आफ्नो पहिलो IoT उपकरण सेटअप गर्दै हुनुहुन्छ |                      [IoT को परिचय](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [सुरु गर्दै](./1-getting-started/README.md) |                   IoT मा गहिरो अध्ययन                    | IoT प्रणालीका घटकहरू, साथै माइक्रोकन्ट्रोलरहरू र सिंगल-बोर्ड कम्प्युटरहरूको बारेमा थप जान्नुहोस्                                                            |                        [IoT मा गहिरो अध्ययन](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [सुरु गर्दै](./1-getting-started/README.md) | सेन्सर र एक्टुएटरहरूको साथ भौतिक संसारसँग अन्तरक्रिया गर्नुहोस् | भौतिक संसारबाट डेटा सङ्कलन गर्न सेन्सरहरूको बारेमा जान्नुहोस्, र प्रतिक्रिया पठाउन एक्टुएटरहरूको बारेमा जान्नुहोस्, जब तपाईं रातको बत्ती निर्माण गर्दै हुनुहुन्छ                                           | [सेन्सर र एक्टुएटरहरूको साथ भौतिक संसारसँग अन्तरक्रिया गर्नुहोस्](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [सुरु गर्दै](./1-getting-started/README.md) |             आफ्नो उपकरणलाई इन्टरनेटमा जडान गर्नुहोस्             | IoT उपकरणलाई इन्टरनेटमा जडान गरेर सन्देशहरू पठाउन र प्राप्त गर्न सिक्नुहोस्, आफ्नो रातको बत्तीलाई MQTT ब्रोकरसँग जडान गरेर                               |               [आफ्नो उपकरणलाई इन्टरनेटमा जडान गर्नुहोस्](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [फार्म](./2-farm/README.md)            |                    बिरुवा वृद्धि भविष्यवाणी गर्नुहोस्                     | IoT उपकरणद्वारा सङ्कलित तापक्रम डेटा प्रयोग गरेर बिरुवा वृद्धि भविष्यवाणी गर्न सिक्नुहोस्                                                                                  |                          [बिरुवा वृद्धि भविष्यवाणी गर्नुहोस्](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [फार्म](./2-farm/README.md)            |                    माटोको चिस्यान पत्ता लगाउनुहोस्                     | माटोको चिस्यान पत्ता लगाउन र माटोको चिस्यान सेन्सरलाई क्यालिब्रेट गर्न सिक्नुहोस्                                                                                              |                          [माटोको चिस्यान पत्ता लगाउनुहोस्](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [फार्म](./2-farm/README.md)            |                  बिरुवा पानी दिने प्रक्रिया स्वचालित गर्नुहोस्                   | रिले र MQTT प्रयोग गरेर पानी दिने प्रक्रिया स्वचालित र समय निर्धारण गर्न सिक्नुहोस्                                                                                                      |                      [बिरुवा पानी दिने प्रक्रिया स्वचालित गर्नुहोस्](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [फार्म](./2-farm/README.md)            |               आफ्नो बिरुवालाई क्लाउडमा स्थानान्तरण गर्नुहोस्               | क्लाउड र क्लाउड-होस्टेड IoT सेवाहरूको बारेमा जान्नुहोस् र आफ्नो बिरुवालाई सार्वजनिक MQTT ब्रोकरको सट्टा ती मध्ये एकमा जडान गर्ने तरिका सिक्नुहोस्                                   |               [आफ्नो बिरुवालाई क्लाउडमा स्थानान्तरण गर्नुहोस्](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [फार्म](./2-farm/README.md)            |         आफ्नो एप्लिकेशन तर्कलाई क्लाउडमा स्थानान्तरण गर्नुहोस्         | IoT सन्देशहरूमा प्रतिक्रिया दिने क्लाउडमा एप्लिकेशन तर्क लेख्न सकिने तरिका सिक्नुहोस्                                                                          |         [आफ्नो एप्लिकेशन तर्कलाई क्लाउडमा स्थानान्तरण गर्नुहोस्](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [फार्म](./2-farm/README.md)            |                   आफ्नो बिरुवालाई सुरक्षित राख्नुहोस्                    | IoT संग सुरक्षा र आफ्नो बिरुवालाई कुञ्जीहरू र प्रमाणपत्रहरूको साथ सुरक्षित राख्ने तरिका सिक्नुहोस्                                                                          |                        [आफ्नो बिरुवालाई सुरक्षित राख्नुहोस्](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [परिवहन](./3-transport/README.md)       |                      स्थान ट्र्याकिङ                      | IoT उपकरणहरूको लागि GPS स्थान ट्र्याकिङको बारेमा जान्नुहोस्                                                                                                                   |                           [स्थान ट्र्याकिङ](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [परिवहन](./3-transport/README.md)       |                     स्थान डेटा भण्डारण गर्नुहोस्                     | IoT डेटा भण्डारण गर्ने तरिका सिक्नुहोस् जसलाई पछि दृश्यावलोकन वा विश्लेषण गर्न सकिन्छ                                                                                                      |                         [स्थान डेटा भण्डारण गर्नुहोस्](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [परिवहन](./3-transport/README.md)       |                   स्थान डेटा दृश्यावलोकन गर्नुहोस्                   | नक्सामा स्थान डेटा दृश्यावलोकन गर्ने तरिका, र नक्साले वास्तविक 3D संसारलाई 2 आयाममा कसरी प्रतिनिधित्व गर्छ भन्ने कुरा जान्नुहोस्                                                            |                     [स्थान डेटा दृश्यावलोकन गर्नुहोस्](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [परिवहन](./3-transport/README.md)       |                          जियोफेन्स                          | जियोफेन्सको बारेमा जान्नुहोस्, र आपूर्ति श्रृंखलामा सवारी साधनहरू आफ्नो गन्तव्यको नजिक हुँदा सतर्कता दिन तिनीहरूलाई कसरी प्रयोग गर्न सकिन्छ                                           |                                   [जियोफेन्स](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [निर्माण](./4-manufacturing/README.md)   |               फलको गुणस्तर डिटेक्टरलाई प्रशिक्षण दिनुहोस्                | क्लाउडमा छवि वर्गीकरणकर्ता प्रशिक्षण दिएर फलको गुणस्तर पत्ता लगाउने तरिका सिक्नुहोस्                                                                                       |                 [फलको गुणस्तर डिटेक्टरलाई प्रशिक्षण दिनुहोस्](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [निर्माण](./4-manufacturing/README.md)   |           IoT उपकरणबाट फलको गुणस्तर जाँच गर्नुहोस्            | IoT उपकरणबाट आफ्नो फलको गुणस्तर डिटेक्टर प्रयोग गर्ने तरिका सिक्नुहोस्                                                                                                    |           [IoT उपकरणबाट फलको गुणस्तर जाँच गर्नुहोस्](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [निर्माण](./4-manufacturing/README.md)   |             आफ्नो फल डिटेक्टरलाई एजमा चलाउनुहोस्             | एजमा IoT उपकरणमा आफ्नो फल डिटेक्टर चलाउने तरिका सिक्नुहोस्                                                                                                |             [आफ्नो फल डिटेक्टरलाई एजमा चलाउनुहोस्](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [निर्माण](./4-manufacturing/README.md)   |        सेन्सरबाट फलको गुणस्तर डिटेक्शन ट्रिगर गर्नुहोस्        | सेन्सरबाट फलको गुणस्तर डिटेक्शन ट्रिगर गर्ने तरिका सिक्नुहोस्                                                                                                        |        [सेन्सरबाट फलको गुणस्तर डिटेक्शन ट्रिगर गर्नुहोस्](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [खुद्रा](./5-retail/README.md)          |                   स्टक डिटेक्टरलाई प्रशिक्षण दिनुहोस्                    | वस्तु डिटेक्शन प्रयोग गरेर स्टक डिटेक्टरलाई प्रशिक्षण दिएर पसलमा स्टक गणना गर्ने तरिका सिक्नुहोस्                                                                                |                        [स्टक डिटेक्टरलाई प्रशिक्षण दिनुहोस्](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [खुद्रा](./5-retail/README.md)          |               IoT उपकरणबाट स्टक जाँच गर्नुहोस्                | वस्तु डिटेक्शन मोडेल प्रयोग गरेर IoT उपकरणबाट स्टक जाँच गर्ने तरिका सिक्नुहोस्                                                                                         |                     [IoT उपकरणबाट स्टक जाँच गर्नुहोस्](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [उपभोक्ता](./6-consumer/README.md)        |             IoT उपकरणबाट आवाज चिन्नुहोस्             | स्मार्ट टाइमर निर्माण गर्न IoT उपकरणबाट आवाज चिन्न सिक्नुहोस्                                                                                             |                  [IoT उपकरणबाट आवाज चिन्नुहोस्](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [उपभोक्ता](./6-consumer/README.md)        |                     भाषा बुझ्नुहोस्                     | IoT उपकरणमा बोलेका वाक्यहरू बुझ्ने तरिका सिक्नुहोस्                                                                                                           |                        [भाषा बुझ्नुहोस्](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [उपभोक्ता](./6-consumer/README.md)        |           टाइमर सेट गर्नुहोस् र बोलेको प्रतिक्रिया प्रदान गर्नुहोस्           | IoT उपकरणमा टाइमर सेट गर्ने तरिका सिक्नुहोस् र टाइमर सेट गर्दा र समाप्त हुँदा बोलेको प्रतिक्रिया प्रदान गर्नुहोस्                                                    |                 [टाइमर सेट गर्नुहोस् र बोलेको प्रतिक्रिया प्रदान गर्नुहोस्](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [उपभोक्ता](./6-consumer/README.md)        |                 बहु भाषाहरू समर्थन गर्नुहोस्                  | तपाईंको स्मार्ट टाइमरमा बोलेको र प्रतिक्रियाहरू दुवैमा बहु भाषाहरू समर्थन गर्ने तरिका सिक्नुहोस्                                                               |                   [बहु भाषाहरू समर्थन गर्नुहोस्](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  ०१   | [सुरुवात गरौं](./1-getting-started/README.md) |                     IoT को परिचय                     | IoT का आधारभूत सिद्धान्तहरू र IoT समाधानहरूको आधारभूत निर्माण ब्लकहरू जस्तै सेन्सर र क्लाउड सेवाहरू सिक्नुहोस्, तपाईंको पहिलो IoT उपकरण सेटअप गर्दा |                      [IoT को परिचय](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  ०२   | [सुरुवात गरौं](./1-getting-started/README.md) |                   IoT को गहिरो अध्ययन                    | IoT प्रणालीका कम्पोनेन्टहरू, साथै माइक्रोकन्ट्रोलर र सिंगल-बोर्ड कम्प्युटरहरूको बारेमा थप जान्नुहोस्                                                            |                        [IoT को गहिरो अध्ययन](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  ०३   | [सुरुवात गरौं](./1-getting-started/README.md) | सेन्सर र एक्ट्युएटरहरूसँग भौतिक संसारसँग अन्तरक्रिया गर्नुहोस् | भौतिक संसारबाट डाटा सङ्कलन गर्न सेन्सरहरूको बारेमा जान्नुहोस्, र प्रतिक्रिया पठाउन एक्ट्युएटरहरूको बारेमा, जब तपाईं रातको बत्ती बनाउनुहुन्छ                                           | [सेन्सर र एक्ट्युएटरहरूसँग भौतिक संसारसँग अन्तरक्रिया गर्नुहोस्](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  ०४   | [सुरुवात गरौं](./1-getting-started/README.md) |             तपाईंको उपकरणलाई इन्टरनेटमा जडान गर्नुहोस्             | IoT उपकरणलाई इन्टरनेटमा जडान गरेर सन्देशहरू पठाउन र प्राप्त गर्न सिक्नुहोस्, तपाईंको रातको बत्तीलाई MQTT ब्रोकरमा जडान गरेर                               |               [तपाईंको उपकरणलाई इन्टरनेटमा जडान गर्नुहोस्](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  ०५   |            [फार्म](./2-farm/README.md)            |                    बिरुवाको वृद्धि भविष्यवाणी गर्नुहोस्                     | IoT उपकरणद्वारा सङ्कलित तापक्रम डाटाको प्रयोग गरेर बिरुवाको वृद्धि भविष्यवाणी गर्न सिक्नुहोस्                                                                                  |                          [बिरुवाको वृद्धि भविष्यवाणी गर्नुहोस्](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  ०६   |            [फार्म](./2-farm/README.md)            |                    माटोको चिस्यान पत्ता लगाउनुहोस्                     | माटोको चिस्यान पत्ता लगाउन र माटोको चिस्यान सेन्सरलाई क्यालिब्रेट गर्न सिक्नुहोस्                                                                                              |                          [माटोको चिस्यान पत्ता लगाउनुहोस्](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  ०७   |            [फार्म](./2-farm/README.md)            |                  बिरुवाको पानी आपूर्ति स्वचालित गर्नुहोस्                   | रिले र MQTT को प्रयोग गरेर पानी आपूर्ति स्वचालित र समय निर्धारण गर्न सिक्नुहोस्                                                                                                      |                      [बिरुवाको पानी आपूर्ति स्वचालित गर्नुहोस्](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  ०८   |            [फार्म](./2-farm/README.md)            |               तपाईंको बिरुवालाई क्लाउडमा स्थानान्तरण गर्नुहोस्               | क्लाउड र क्लाउड-होस्टेड IoT सेवाहरूको बारेमा जान्नुहोस् र सार्वजनिक MQTT ब्रोकरको सट्टा तपाईंको बिरुवालाई तीमध्ये एकमा कसरी जडान गर्ने भनेर सिक्नुहोस्                                   |               [तपाईंको बिरुवालाई क्लाउडमा स्थानान्तरण गर्नुहोस्](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  ०९   |            [फार्म](./2-farm/README.md)            |         तपाईंको एप्लिकेसन तर्कलाई क्लाउडमा स्थानान्तरण गर्नुहोस्         | IoT सन्देशहरूमा प्रतिक्रिया दिने क्लाउडमा एप्लिकेसन तर्क लेख्न कसरी सकिन्छ भनेर जान्नुहोस्                                                                          |         [तपाईंको एप्लिकेसन तर्कलाई क्लाउडमा स्थानान्तरण गर्नुहोस्](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  १०   |            [फार्म](./2-farm/README.md)            |                   तपाईंको बिरुवालाई सुरक्षित राख्नुहोस्                    | IoT को साथ सुरक्षा र तपाईंको बिरुवालाई कुञ्जीहरू र प्रमाणपत्रहरूको साथ सुरक्षित राख्ने बारेमा जान्नुहोस्                                                                          |                        [तपाईंको बिरुवालाई सुरक्षित राख्नुहोस्](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  ११   |       [परिवहन](./3-transport/README.md)       |                      स्थान ट्र्याकिङ                      | IoT उपकरणहरूको लागि GPS स्थान ट्र्याकिङको बारेमा जान्नुहोस्                                                                                                                   |                           [स्थान ट्र्याकिङ](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  १२   |       [परिवहन](./3-transport/README.md)       |                     स्थान डाटा भण्डारण गर्नुहोस्                     | IoT डाटालाई भण्डारण गर्न सिक्नुहोस् ताकि पछि दृश्यावलोकन वा विश्लेषण गर्न सकियोस्                                                                                                      |                         [स्थान डाटा भण्डारण गर्नुहोस्](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  १३   |       [परिवहन](./3-transport/README.md)       |                   स्थान डाटा दृश्यावलोकन गर्नुहोस्                   | नक्सामा स्थान डाटा दृश्यावलोकन गर्ने बारेमा जान्नुहोस्, र नक्साहरूले कसरी वास्तविक ३D संसारलाई २ आयाममा प्रतिनिधित्व गर्छन्                                                            |                     [स्थान डाटा दृश्यावलोकन गर्नुहोस्](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  १४   |       [परिवहन](./3-transport/README.md)       |                          जियोफेन्स                          | जियोफेन्सहरूको बारेमा जान्नुहोस्, र आपूर्ति श्रृंखलामा रहेका सवारी साधनहरू गन्तव्य नजिक हुँदा कसरी सचेत गराउन सकिन्छ भनेर सिक्नुहोस्                                           |                                   [जियोफेन्स](./3-transport/lessons/4-geofences/README.md)                                   |
+|  १५   |   [उत्पादन](./4-manufacturing/README.md)   |               फलको गुणस्तर डिटेक्टर तालिम दिनुहोस्                | क्लाउडमा छवि वर्गीकरणकर्ता तालिम दिएर फलको गुणस्तर पत्ता लगाउन सिक्नुहोस्                                                                                       |                 [फलको गुणस्तर डिटेक्टर तालिम दिनुहोस्](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  १६   |   [उत्पादन](./4-manufacturing/README.md)   |           IoT उपकरणबाट फलको गुणस्तर जाँच गर्नुहोस्            | IoT उपकरणबाट तपाईंको फलको गुणस्तर डिटेक्टर प्रयोग गर्न सिक्नुहोस्                                                                                                    |           [IoT उपकरणबाट फलको गुणस्तर जाँच गर्नुहोस्](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  १७   |   [उत्पादन](./4-manufacturing/README.md)   |             तपाईंको फल डिटेक्टरलाई एजमा चलाउनुहोस्             | एजमा IoT उपकरणमा तपाईंको फल डिटेक्टर चलाउन सिक्नुहोस्                                                                                                |             [तपाईंको फल डिटेक्टरलाई एजमा चलाउनुहोस्](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  १८   |   [उत्पादन](./4-manufacturing/README.md)   |        सेन्सरबाट फलको गुणस्तर डिटेक्शन ट्रिगर गर्नुहोस्        | सेन्सरबाट फलको गुणस्तर डिटेक्शन ट्रिगर गर्न सिक्नुहोस्                                                                                                        |        [सेन्सरबाट फलको गुणस्तर डिटेक्शन ट्रिगर गर्नुहोस्](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  १९   |          [खुद्रा](./5-retail/README.md)          |                   स्टक डिटेक्टर तालिम दिनुहोस्                    | वस्तु डिटेक्शन प्रयोग गरेर स्टक डिटेक्टरलाई तालिम दिएर पसलमा स्टक गन्न सिक्नुहोस्                                                                                |                        [स्टक डिटेक्टर तालिम दिनुहोस्](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  २०   |          [खुद्रा](./5-retail/README.md)          |               IoT उपकरणबाट स्टक जाँच गर्नुहोस्                | वस्तु डिटेक्शन मोडेल प्रयोग गरेर IoT उपकरणबाट स्टक जाँच गर्न सिक्नुहोस्                                                                                         |                     [IoT उपकरणबाट स्टक जाँच गर्नुहोस्](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  २१   |        [उपभोक्ता](./6-consumer/README.md)        |             IoT उपकरणबाट भाषण पहिचान गर्नुहोस्             | स्मार्ट टाइमर बनाउन IoT उपकरणबाट भाषण पहिचान गर्न सिक्नुहोस्                                                                                             |                  [IoT उपकरणबाट भाषण पहिचान गर्नुहोस्](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  २२   |        [उपभोक्ता](./6-consumer/README.md)        |                     भाषा बुझ्नुहोस्                     | IoT उपकरणमा बोलेका वाक्यहरू बुझ्न सिक्नुहोस्                                                                                                           |                        [भाषा बुझ्नुहोस्](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  २३   |        [उपभोक्ता](./6-consumer/README.md)        |           टाइमर सेट गर्नुहोस् र बोलेर प्रतिक्रिया दिनुहोस्           | IoT उपकरणमा टाइमर सेट गर्न र टाइमर सेट गर्दा र समाप्त हुँदा बोलेर प्रतिक्रिया दिन सिक्नुहोस्                                                    |                 [टाइमर सेट गर्नुहोस् र बोलेर प्रतिक्रिया दिनुहोस्](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  २४   |        [उपभोक्ता](./6-consumer/README.md)        |                 बहुभाषा समर्थन गर्नुहोस्                  | तपाईंको स्मार्ट टाइमरलाई बोलेका भाषाहरू र प्रतिक्रियाहरू दुवैमा बहुभाषा समर्थन गर्न सिक्नुहोस्                                                               |                   [बहुभाषा समर्थन गर्नुहोस्](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## अफलाइन पहुँच
 
-तपाईं [Docsify](https://docsify.js.org/#/) प्रयोग गरेर यो दस्तावेज अफलाइन चलाउन सक्नुहुन्छ। यो रिपोजिटरीलाई फोर्क गर्नुहोस्, आफ्नो स्थानीय मेसिनमा [Docsify स्थापना गर्नुहोस्](https://docsify.js.org/#/quickstart), र त्यसपछि यो रिपोजिटरीको मूल फोल्डरमा `docsify serve` टाइप गर्नुहोस्। वेबसाइट तपाईंको localhost मा पोर्ट 3000 मा सेवा गरिनेछ: `localhost:3000`।
+तपाईं [Docsify](https://docsify.js.org/#/) प्रयोग गरेर यो डकुमेन्टेसनलाई अफलाइन चलाउन सक्नुहुन्छ। यो रिपोजिटरीलाई फोर्क गर्नुहोस्, [Docsify इन्स्टल गर्नुहोस्](https://docsify.js.org/#/quickstart) तपाईंको स्थानीय मेसिनमा, र त्यसपछि यो रिपोजिटरीको रुट फोल्डरमा `docsify serve` टाइप गर्नुहोस्। वेबसाइट तपाईंको localhost मा पोर्ट 3000 मा चल्नेछ: `localhost:3000`।
 
 ## क्विज
 
@@ -136,7 +141,7 @@ Microsoft का Azure Cloud Advocates ले IoT को आधारभूत 
 
 ### PDF
 
-यदि आवश्यक भएमा अफलाइन पहुँचको लागि तपाईं यस सामग्रीको PDF उत्पन्न गर्न सक्नुहुन्छ। यसका लागि, सुनिश्चित गर्नुहोस् कि तपाईंले [npm स्थापना गर्नुभएको छ](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) र यस रिपोजिटरीको मूल फोल्डरमा निम्न आदेशहरू चलाउनुहोस्:
+आवश्यक परेमा अफलाइन पहुँचको लागि तपाईं यस सामग्रीको PDF उत्पन्न गर्न सक्नुहुन्छ। यसका लागि, सुनिश्चित गर्नुहोस् कि तपाईंले [npm इन्स्टल गर्नुभएको छ](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) र यस रिपोजिटरीको रुट फोल्डरमा निम्न आदेशहरू चलाउनुहोस्:
 
 ```sh
 npm i
@@ -145,13 +150,14 @@ npm run convert
 
 ### स्लाइडहरू
 
-[slides](../../slides) फोल्डरमा केही पाठहरूको लागि स्लाइड डेकहरू छन्।
+केही पाठहरूको लागि [slides](../../slides) फोल्डरमा स्लाइड डेकहरू छन्।
+
 
 ## अन्य पाठ्यक्रमहरू
 
-हाम्रो टोलीले अन्य पाठ्यक्रमहरू उत्पादन गर्दछ! हेर्नुहोस्:
+हाम्रो टोलीले अन्य पाठ्यक्रमहरू पनि उत्पादन गर्दछ! हेर्नुहोस्:
 
-### Azure / Edge / MCP / Agents
+### Azure / Edge / MCP / एजेन्टहरू
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,18 +165,18 @@ npm run convert
 
 ---
 
-### Generative AI Series
+### जेनेरेटिभ AI श्रृंखला
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![जनरेटिभ एआई (जाभास्क्रिप्ट)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### मुख्य सिकाइ
-[![सुरुवातीका लागि मेसिन लर्निङ](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![सुरुवातीका लागि एमएल](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![सुरुवातीका लागि डेटा विज्ञान](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![सुरुवातीका लागि कृत्रिम बुद्धिमत्ता](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![सुरुवातीका लागि एआई](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
 [![सुरुवातीका लागि साइबर सुरक्षा](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
 [![सुरुवातीका लागि वेब विकास](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
 [![सुरुवातीका लागि IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
@@ -178,16 +184,19 @@ npm run convert
 
 ---
 
-### Copilot श्रृंखला
-[![AI जोडी प्रोग्रामिङका लागि Copilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
-[![C#/.NET का लागि Copilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
-[![Copilot साहसिक यात्रा](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+### कोपाइलट शृंखला
+[![एआई जोडी प्रोग्रामिङका लागि कोपाइलट](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![C#/.NET का लागि कोपाइलट](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![कोपाइलट एडभेन्चर](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## चित्रको श्रेय
+## छविको श्रेय
 
-यस पाठ्यक्रममा प्रयोग गरिएका चित्रहरूको श्रेय आवश्यक परेमा [श्रेय](./attributions.md) मा पाउन सकिन्छ।
+यस पाठ्यक्रममा प्रयोग गरिएका छविहरूको श्रेय आवश्यक परेमा [श्रेय](./attributions.md) मा पाउन सकिन्छ।
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **अस्वीकरण**:  
-यो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको छ। हामी शुद्धताको लागि प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छ। यसको मूल भाषामा रहेको दस्तावेज़लाई आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीको लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा गलत व्याख्याको लागि हामी जिम्मेवार हुने छैनौं।
\ No newline at end of file
+यो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको छ। हामी शुद्धताको लागि प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादहरूमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छ। यसको मूल भाषा मा रहेको मूल दस्तावेज़लाई आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीको लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा गलत व्याख्याको लागि हामी जिम्मेवार हुने छैनौं।
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/nl/README.md b/translations/nl/README.md
index c26d7f9eb..00ba285cb 100644
--- a/translations/nl/README.md
+++ b/translations/nl/README.md
@@ -1,142 +1,147 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:15:37+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:50:28+00:00",
   "source_file": "README.md",
   "language_code": "nl"
 }
 -->
-[![GitHub licentie](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub bijdragers](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welkom](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub licentie](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub bijdragers](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub volgers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub sterren](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Word lid van de Azure AI Foundry Community 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Word lid van de Azure AI Foundry Community  
 
-Volg deze stappen om aan de slag te gaan met deze bronnen:
-1. **Fork de Repository**: Klik [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone de Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Word lid van de Azure AI Foundry Discord en ontmoet experts en mede-ontwikkelaars**](https://discord.com/invite/ByRwuEEgH4)
+Als je vastloopt of vragen hebt over het bouwen van AI-apps, sluit je dan aan bij medeleerlingen en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende community waar vragen welkom zijn en kennis vrij wordt gedeeld.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Ondersteuning voor meerdere talen
+Als je productfeedback hebt of fouten tegenkomt tijdens het bouwen, bezoek dan:  
 
-#### Ondersteund via GitHub Action (Automatisch & Altijd Actueel)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmaans (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh/README.md) | [Chinees (Traditioneel, Hong Kong)](../hk/README.md) | [Chinees (Traditioneel, Macau)](../mo/README.md) | [Chinees (Traditioneel, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../br/README.md) | [Portugees (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Volg deze stappen om aan de slag te gaan met deze bronnen:  
+1. **Fork de repository**: Klik [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone de repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Word lid van de Microsoft Foundry Discord en ontmoet experts en medeontwikkelaars**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT voor Beginners - Een Curriculum
+### 🌐 Meertalige ondersteuning  
 
-Azure Cloud Advocates bij Microsoft bieden met trots een 12-weekse, 24-lessen curriculum aan over de basis van IoT. Elke les bevat quizzen voor en na de les, geschreven instructies om de les te voltooien, een oplossing, een opdracht en meer. Onze projectgerichte aanpak stelt je in staat om te leren terwijl je bouwt, een bewezen manier om nieuwe vaardigheden te laten beklijven.
+#### Ondersteund via GitHub Action (Automatisch & Altijd up-to-date)  
 
-De projecten volgen de reis van voedsel van boerderij tot bord. Dit omvat landbouw, logistiek, productie, detailhandel en consument - allemaal populaire industriegebieden voor IoT-apparaten.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmaans (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh/README.md) | [Chinees (Traditioneel, Hong Kong)](../hk/README.md) | [Chinees (Traditioneel, Macau)](../mo/README.md) | [Chinees (Traditioneel, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigeriaans Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../br/README.md) | [Portugees (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![Een roadmap voor de cursus met 24 lessen over introductie, landbouw, transport, verwerking, detailhandel en koken](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.nl.jpg)
+# IoT voor Beginners - Een Curriculum  
 
-> Sketchnote door [Nitya Narasimhan](https://github.com/nitya). Klik op de afbeelding voor een grotere versie.
+Azure Cloud Advocates bij Microsoft bieden met trots een 12-weekse, 24-lessen curriculum aan over de basis van IoT. Elke les bevat quizzen voor en na de les, geschreven instructies om de les te voltooien, een oplossing, een opdracht en meer. Onze projectgerichte aanpak stelt je in staat om te leren door te bouwen, een bewezen manier om nieuwe vaardigheden te laten beklijven.  
 
-**Hartelijk dank aan onze auteurs [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), en onze sketchnote-artiest [Nitya Narasimhan](https://github.com/nitya).**
+De projecten behandelen de reis van voedsel van boerderij tot bord. Dit omvat landbouw, logistiek, productie, detailhandel en consument - allemaal populaire industriegebieden voor IoT-apparaten.  
 
-**Ook dank aan ons team van [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) die dit curriculum hebben beoordeeld en vertaald - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), en [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![Een routekaart voor de cursus met 24 lessen over introductie, landbouw, transport, verwerking, detailhandel en koken](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.nl.jpg)  
 
-Ontmoet het team!
+> Sketchnote door [Nitya Narasimhan](https://github.com/nitya). Klik op de afbeelding voor een grotere versie.  
 
-[![Promovideo](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Veel dank aan onze auteurs [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), en onze sketchnote-artiest [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif door** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Ook dank aan ons team van [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) die dit curriculum hebben beoordeeld en vertaald - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), en [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Klik op de afbeelding hierboven voor een video over het project!
+Maak kennis met het team!  
 
-> **Docenten**, we hebben [enkele suggesties opgenomen](for-teachers.md) over hoe u dit curriculum kunt gebruiken. Als u uw eigen lessen wilt maken, hebben we ook een [lestemplate](lesson-template/README.md) toegevoegd.
+[![Promovideo](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Studenten](https://aka.ms/student-page)**, om dit curriculum zelfstandig te gebruiken, fork de hele repository en voltooi de oefeningen zelf, te beginnen met een quiz voorafgaand aan de les, vervolgens het lezen van de les en het voltooien van de rest van de activiteiten. Probeer de projecten te maken door de lessen te begrijpen in plaats van de oplossingscode te kopiëren; die code is echter beschikbaar in de /solutions-mappen in elke projectgerichte les. Een ander idee is om een studiegroep te vormen met vrienden en samen door de inhoud te gaan. Voor verdere studie raden we [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) aan.
+**Gif door** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-Voor een video-overzicht van deze cursus, bekijk deze video:
+> 🎥 Klik op de afbeelding hierboven voor een video over het project!  
 
-[![Promovideo](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promovideo")
+> **Docenten**, we hebben [enkele suggesties opgenomen](for-teachers.md) over hoe je dit curriculum kunt gebruiken. Als je je eigen lessen wilt maken, hebben we ook een [les-sjabloon](lesson-template/README.md) toegevoegd.  
 
-> 🎥 Klik op de afbeelding hierboven voor een video over het project!
+> **[Studenten](https://aka.ms/student-page)**, om dit curriculum zelfstandig te gebruiken, fork de hele repo en voltooi de oefeningen zelfstandig, te beginnen met een quiz voorafgaand aan de les, daarna het lezen van de les en het voltooien van de overige activiteiten. Probeer de projecten te maken door de lessen te begrijpen in plaats van de oplossingscode te kopiëren; die code is echter beschikbaar in de /solutions-mappen in elke projectgerichte les. Een ander idee is om een studiegroep te vormen met vrienden en samen door de inhoud te gaan. Voor verdere studie raden we [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) aan.  
 
-## Pedagogiek
+Voor een video-overzicht van deze cursus, bekijk deze video:  
 
-We hebben twee pedagogische principes gekozen bij het ontwikkelen van dit curriculum: ervoor zorgen dat het projectgericht is en dat het frequente quizzen bevat. Aan het einde van deze serie hebben studenten een systeem gebouwd voor het monitoren en bewateren van planten, een voertuigtracker, een slimme fabriek om voedsel te volgen en te controleren, en een spraakgestuurde kookwekker. Ze hebben de basis van het Internet of Things geleerd, waaronder het schrijven van apparaatcode, verbinding maken met de cloud, het analyseren van telemetrie en het uitvoeren van AI aan de rand.
+[![Promovideo](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promovideo")  
 
-Door ervoor te zorgen dat de inhoud aansluit bij projecten, wordt het leerproces boeiender voor studenten en wordt het begrip van concepten versterkt.
+> 🎥 Klik op de afbeelding hierboven voor een video over het project!  
 
-Daarnaast zorgt een quiz met lage inzet voorafgaand aan een les ervoor dat de student zich richt op het leren van een onderwerp, terwijl een tweede quiz na de les verdere retentie garandeert. Dit curriculum is ontworpen om flexibel en leuk te zijn en kan in zijn geheel of gedeeltelijk worden gevolgd. De projecten beginnen klein en worden steeds complexer tegen het einde van de 12-weekse cyclus.
+## Pedagogiek  
 
-Elk project is gebaseerd op hardware die beschikbaar is voor studenten en hobbyisten. Elk project onderzoekt het specifieke projectdomein en biedt relevante achtergrondkennis. Om een succesvolle ontwikkelaar te zijn, is het belangrijk om het domein te begrijpen waarin je problemen oplost. Door deze achtergrondkennis kunnen studenten nadenken over hun IoT-oplossingen en lessen in de context van het soort echte problemen dat ze als IoT-ontwikkelaar zouden kunnen tegenkomen. Studenten leren het 'waarom' van de oplossingen die ze bouwen en krijgen waardering voor de eindgebruiker.
+We hebben twee pedagogische principes gekozen bij het opstellen van dit curriculum: ervoor zorgen dat het projectgericht is en dat het frequente quizzen bevat. Aan het einde van deze serie hebben studenten een plantenbewakings- en bewateringssysteem gebouwd, een voertuigtracker, een slimme fabriek om voedsel te volgen en te controleren, en een spraakgestuurde kookwekker. Ze hebben de basis van het Internet of Things geleerd, waaronder het schrijven van apparaatcode, verbinding maken met de cloud, telemetrie analyseren en AI aan de rand uitvoeren.  
 
-## Hardware
+Door ervoor te zorgen dat de inhoud aansluit bij projecten, wordt het proces boeiender voor studenten en wordt het begrip van concepten vergroot.  
 
-We hebben twee keuzes van IoT-hardware om te gebruiken voor de projecten, afhankelijk van persoonlijke voorkeur, programmeerkennis of voorkeuren, leerdoelen en beschikbaarheid. We hebben ook een 'virtuele hardware'-versie voorzien voor degenen die geen toegang hebben tot hardware, of meer willen leren voordat ze tot aankoop overgaan. Je kunt meer lezen en een 'boodschappenlijst' vinden op de [hardwarepagina](./hardware.md), inclusief links om complete kits te kopen van onze vrienden bij Seeed Studio.
+Daarnaast zet een laagdrempelige quiz voorafgaand aan een les de intentie van de student om een onderwerp te leren, terwijl een tweede quiz na de les zorgt voor verdere retentie. Dit curriculum is ontworpen om flexibel en leuk te zijn en kan in zijn geheel of gedeeltelijk worden gevolgd. De projecten beginnen klein en worden steeds complexer tegen het einde van de 12-weekse cyclus.  
 
-> 💁 Vind onze [Gedragscode](CODE_OF_CONDUCT.md), [Bijdragen](CONTRIBUTING.md), en [Vertaalrichtlijnen](TRANSLATIONS.md). We verwelkomen je constructieve feedback!
+Elk project is gebaseerd op echte hardware die beschikbaar is voor studenten en hobbyisten. Elk project onderzoekt het specifieke projectdomein en biedt relevante achtergrondkennis. Om een succesvolle ontwikkelaar te zijn, helpt het om het domein te begrijpen waarin je problemen oplost. Het bieden van deze achtergrondkennis stelt studenten in staat om na te denken over hun IoT-oplossingen en lessen in de context van het soort echte problemen dat ze als IoT-ontwikkelaar zouden kunnen oplossen. Studenten leren het 'waarom' van de oplossingen die ze bouwen en krijgen waardering voor de eindgebruiker.  
 
-## Elke les bevat:
+## Hardware  
 
-- sketchnote
-- optionele aanvullende video
-- quiz voorafgaand aan de les
-- geschreven les
-- voor projectgerichte lessen, stapsgewijze handleidingen over hoe het project te bouwen
-- kennischecks
-- een uitdaging
-- aanvullende literatuur
-- opdracht
-- [quiz na de les](https://ff-quizzes.netlify.app/en/)
+We hebben twee keuzes van IoT-hardware om te gebruiken voor de projecten, afhankelijk van persoonlijke voorkeur, programmeerkennis of voorkeuren, leerdoelen en beschikbaarheid. We hebben ook een 'virtuele hardware'-versie voorzien voor degenen die geen toegang hebben tot hardware of meer willen leren voordat ze een aankoop doen. Je kunt meer lezen en een 'boodschappenlijst' vinden op de [hardwarepagina](./hardware.md), inclusief links om complete kits te kopen van onze vrienden bij Seeed Studio.  
 
-> **Een opmerking over quizzen**: Alle quizzen zijn opgenomen in de quiz-app map, voor in totaal 48 quizzen van drie vragen elk. Ze zijn gekoppeld vanuit de lessen, maar de quiz-app kan lokaal worden uitgevoerd of worden ingezet op Azure; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd.
+> 💁 Bekijk onze [Gedragscode](CODE_OF_CONDUCT.md), [Bijdragen](CONTRIBUTING.md), en [Vertaalrichtlijnen](TRANSLATIONS.md). We verwelkomen je constructieve feedback!  
+
+## Elke les bevat:  
+
+- sketchnote  
+- optionele aanvullende video  
+- quiz voorafgaand aan de les  
+- geschreven les  
+- voor projectgerichte lessen, stapsgewijze handleidingen over hoe je het project bouwt  
+- kenniscontroles  
+- een uitdaging  
+- aanvullende lectuur  
+- opdracht  
+- [quiz na de les](https://ff-quizzes.netlify.app/en/)  
+> **Een opmerking over quizzen**: Alle quizzen bevinden zich in de map quiz-app, in totaal 48 quizzen met elk drie vragen. Ze zijn gekoppeld vanuit de lessen, maar de quiz-app kan lokaal worden uitgevoerd of worden gedeployed naar Azure; volg de instructies in de map `quiz-app`. Ze worden geleidelijk gelokaliseerd.
 
 ## Lessen
 
-|       |              Projectnaam              |                       Geleerde Concepten                       | Leerdoelen                                                                                                                                                 |                                                        Gelinkte Les                                                         |
-| :---: | :------------------------------------: | :-------------------------------------------------------------: | ----------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|       |              Projectnaam              |                       Behandelde concepten                       | Leerdoelen                                                                                                                                                 |                                                        Gelinkte les                                                         |
+| :---: | :-----------------------------------: | :-------------------------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Aan de slag](./1-getting-started/README.md) |                     Introductie tot IoT                     | Leer de basisprincipes van IoT en de fundamentele bouwstenen van IoT-oplossingen zoals sensoren en clouddiensten terwijl je je eerste IoT-apparaat instelt |                      [Introductie tot IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Aan de slag](./1-getting-started/README.md) |                   Een diepere duik in IoT                   | Leer meer over de componenten van een IoT-systeem, evenals microcontrollers en single-board computers                                                            |                        [Een diepere duik in IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Aan de slag](./1-getting-started/README.md) | Interactie met de fysieke wereld met sensoren en actuatoren | Leer over sensoren om gegevens uit de fysieke wereld te verzamelen en actuatoren om feedback te geven, terwijl je een nachtlampje bouwt                        | [Interactie met de fysieke wereld met sensoren en actuatoren](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Aan de slag](./1-getting-started/README.md) |             Verbind je apparaat met het internet            | Leer hoe je een IoT-apparaat met het internet verbindt om berichten te verzenden en ontvangen door je nachtlampje te verbinden met een MQTT-broker             |               [Verbind je apparaat met het internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Boerderij](./2-farm/README.md)            |                    Voorspel plantengroei                    | Leer hoe je plantengroei kunt voorspellen met behulp van temperatuurgegevens die door een IoT-apparaat worden vastgelegd                                         |                          [Voorspel plantengroei](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Boerderij](./2-farm/README.md)            |                    Detecteer bodemvocht                     | Leer hoe je bodemvocht kunt detecteren en een bodemvochtsensor kunt kalibreren                                                                                   |                          [Detecteer bodemvocht](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Boerderij](./2-farm/README.md)            |                  Geautomatiseerde plantenbewatering          | Leer hoe je bewatering kunt automatiseren en timen met behulp van een relais en MQTT                                                                             |                      [Geautomatiseerde plantenbewatering](./2-farm/lessons/3-automated-plant-watering/README.md)              |
-|  08   |            [Boerderij](./2-farm/README.md)            |               Migreer je plant naar de cloud                | Leer over de cloud en cloud-gehoste IoT-diensten en hoe je je plant kunt verbinden met een van deze in plaats van een openbare MQTT-broker                      |               [Migreer je plant naar de cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                 |
-|  09   |            [Boerderij](./2-farm/README.md)            |         Migreer je applicatielogica naar de cloud           | Leer hoe je applicatielogica in de cloud kunt schrijven die reageert op IoT-berichten                                                                            |         [Migreer je applicatielogica naar de cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)           |
-|  10   |            [Boerderij](./2-farm/README.md)            |                   Houd je plant veilig                      | Leer over beveiliging met IoT en hoe je je plant veilig kunt houden met sleutels en certificaten                                                                |                        [Houd je plant veilig](./2-farm/lessons/6-keep-your-plant-secure/README.md)                           |
-|  11   |       [Transport](./3-transport/README.md)       |                      Locatie volgen                         | Leer over GPS-locatievolging voor IoT-apparaten                                                                                                                  |                           [Locatie volgen](./3-transport/lessons/1-location-tracking/README.md)                              |
-|  12   |       [Transport](./3-transport/README.md)       |                     Locatiegegevens opslaan                 | Leer hoe je IoT-gegevens kunt opslaan om later te visualiseren of analyseren                                                                                     |                         [Locatiegegevens opslaan](./3-transport/lessons/2-store-location-data/README.md)                     |
-|  13   |       [Transport](./3-transport/README.md)       |                   Locatiegegevens visualiseren              | Leer hoe je locatiegegevens op een kaart kunt visualiseren en hoe kaarten de echte 3D-wereld in 2 dimensies weergeven                                           |                     [Locatiegegevens visualiseren](./3-transport/lessons/3-visualize-location-data/README.md)                |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Leer over geofences en hoe ze kunnen worden gebruikt om te waarschuwen wanneer voertuigen in de toeleveringsketen dicht bij hun bestemming zijn                 |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Productie](./4-manufacturing/README.md)   |               Train een fruitkwaliteitsdetector             | Leer hoe je een beeldclassifier in de cloud kunt trainen om fruitkwaliteit te detecteren                                                                         |                 [Train een fruitkwaliteitsdetector](./4-manufacturing/lessons/1-train-fruit-detector/README.md)              |
-|  16   |   [Productie](./4-manufacturing/README.md)   |           Controleer fruitkwaliteit vanaf een IoT-apparaat  | Leer hoe je je fruitkwaliteitsdetector kunt gebruiken vanaf een IoT-apparaat                                                                                     |           [Controleer fruitkwaliteit vanaf een IoT-apparaat](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)  |
-|  17   |   [Productie](./4-manufacturing/README.md)   |             Voer je fruitdetector uit aan de edge           | Leer hoe je je fruitdetector kunt uitvoeren op een IoT-apparaat aan de edge                                                                                      |             [Voer je fruitdetector uit aan de edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)           |
-|  18   |   [Productie](./4-manufacturing/README.md)   |        Trigger fruitkwaliteitsdetectie vanaf een sensor     | Leer hoe je fruitkwaliteitsdetectie kunt triggeren vanaf een sensor                                                                                              |        [Trigger fruitkwaliteitsdetectie vanaf een sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)      |
-|  19   |          [Retail](./5-retail/README.md)          |                   Train een voorraad detector               | Leer hoe je objectdetectie kunt gebruiken om een voorraad detector te trainen om voorraad in een winkel te tellen                                                |                        [Train een voorraad detector](./5-retail/lessons/1-train-stock-detector/README.md)                    |
-|  20   |          [Retail](./5-retail/README.md)          |               Controleer voorraad vanaf een IoT-apparaat    | Leer hoe je voorraad kunt controleren vanaf een IoT-apparaat met behulp van een objectdetectiemodel                                                              |                     [Controleer voorraad vanaf een IoT-apparaat](./5-retail/lessons/2-check-stock-device/README.md)          |
-|  21   |        [Consument](./6-consumer/README.md)        |             Herken spraak met een IoT-apparaat              | Leer hoe je spraak kunt herkennen vanaf een IoT-apparaat om een slimme timer te bouwen                                                                           |                  [Herken spraak met een IoT-apparaat](./6-consumer/lessons/1-speech-recognition/README.md)                   |
-|  22   |        [Consument](./6-consumer/README.md)        |                     Begrijp taal                            | Leer hoe je zinnen kunt begrijpen die tegen een IoT-apparaat worden gesproken                                                                                    |                        [Begrijp taal](./6-consumer/lessons/2-language-understanding/README.md)                               |
-|  23   |        [Consument](./6-consumer/README.md)        |           Stel een timer in en geef gesproken feedback      | Leer hoe je een timer kunt instellen op een IoT-apparaat en gesproken feedback kunt geven over wanneer de timer is ingesteld en wanneer deze afloopt             |                 [Stel een timer in en geef gesproken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)             |
-|  24   |        [Consument](./6-consumer/README.md)        |                 Ondersteun meerdere talen                   | Leer hoe je meerdere talen kunt ondersteunen, zowel in gesproken input als in de reacties van je slimme timer                                                    |                   [Ondersteun meerdere talen](./6-consumer/lessons/4-multiple-language-support/README.md)                    |
+|  02   | [Aan de slag](./1-getting-started/README.md) |                   Een diepere duik in IoT                    | Leer meer over de componenten van een IoT-systeem, evenals microcontrollers en single-board computers                                                      |                        [Een diepere duik in IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                        |
+|  03   | [Aan de slag](./1-getting-started/README.md) | Interactie met de fysieke wereld met sensoren en actuatoren | Leer over sensoren om gegevens uit de fysieke wereld te verzamelen en actuatoren om feedback te geven, terwijl je een nachtlampje bouwt                   | [Interactie met de fysieke wereld met sensoren en actuatoren](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Aan de slag](./1-getting-started/README.md) |             Verbind je apparaat met het internet             | Leer hoe je een IoT-apparaat met het internet verbindt om berichten te verzenden en te ontvangen door je nachtlampje te verbinden met een MQTT-broker      |               [Verbind je apparaat met het internet](./1-getting-started/lessons/4-connect-internet/README.md)               |
+|  05   |            [Boerderij](./2-farm/README.md)            |                    Voorspel plantengroei                     | Leer hoe je plantengroei kunt voorspellen met behulp van temperatuurgegevens die door een IoT-apparaat worden vastgelegd                                   |                          [Voorspel plantengroei](./2-farm/lessons/1-predict-plant-growth/README.md)                          |
+|  06   |            [Boerderij](./2-farm/README.md)            |                    Detecteer bodemvocht                     | Leer hoe je bodemvocht kunt detecteren en een bodemvochtsensor kunt kalibreren                                                                             |                          [Detecteer bodemvocht](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Boerderij](./2-farm/README.md)            |                  Geautomatiseerde plantenbewatering          | Leer hoe je bewatering kunt automatiseren en timen met behulp van een relais en MQTT                                                                        |                      [Geautomatiseerde plantenbewatering](./2-farm/lessons/3-automated-plant-watering/README.md)              |
+|  08   |            [Boerderij](./2-farm/README.md)            |               Migreer je plant naar de cloud                | Leer over de cloud en cloud-gehoste IoT-diensten en hoe je je plant kunt verbinden met een van deze in plaats van een openbare MQTT-broker                 |               [Migreer je plant naar de cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                 |
+|  09   |            [Boerderij](./2-farm/README.md)            |         Migreer je applicatielogica naar de cloud           | Leer hoe je applicatielogica in de cloud kunt schrijven die reageert op IoT-berichten                                                                       |         [Migreer je applicatielogica naar de cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)           |
+|  10   |            [Boerderij](./2-farm/README.md)            |                   Houd je plant veilig                      | Leer over beveiliging met IoT en hoe je je plant veilig kunt houden met sleutels en certificaten                                                           |                        [Houd je plant veilig](./2-farm/lessons/6-keep-your-plant-secure/README.md)                          |
+|  11   |       [Transport](./3-transport/README.md)       |                      Locatie volgen                        | Leer over GPS-locatievolging voor IoT-apparaten                                                                                                            |                           [Locatie volgen](./3-transport/lessons/1-location-tracking/README.md)                             |
+|  12   |       [Transport](./3-transport/README.md)       |                     Locatiegegevens opslaan                | Leer hoe je IoT-gegevens kunt opslaan om later te visualiseren of te analyseren                                                                            |                         [Locatiegegevens opslaan](./3-transport/lessons/2-store-location-data/README.md)                     |
+|  13   |       [Transport](./3-transport/README.md)       |                   Locatiegegevens visualiseren             | Leer over het visualiseren van locatiegegevens op een kaart en hoe kaarten de echte 3D-wereld in 2 dimensies weergeven                                     |                     [Locatiegegevens visualiseren](./3-transport/lessons/3-visualize-location-data/README.md)                |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                         | Leer over geofences en hoe ze kunnen worden gebruikt om te waarschuwen wanneer voertuigen in de toeleveringsketen dicht bij hun bestemming zijn            |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Productie](./4-manufacturing/README.md)   |               Train een fruitkwaliteitsdetector            | Leer hoe je een beeldclassificator in de cloud kunt trainen om fruitkwaliteit te detecteren                                                                |                 [Train een fruitkwaliteitsdetector](./4-manufacturing/lessons/1-train-fruit-detector/README.md)              |
+|  16   |   [Productie](./4-manufacturing/README.md)   |           Controleer fruitkwaliteit vanaf een IoT-apparaat | Leer hoe je je fruitkwaliteitsdetector kunt gebruiken vanaf een IoT-apparaat                                                                               |           [Controleer fruitkwaliteit vanaf een IoT-apparaat](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)  |
+|  17   |   [Productie](./4-manufacturing/README.md)   |             Voer je fruitdetector uit aan de rand          | Leer hoe je je fruitdetector kunt uitvoeren op een IoT-apparaat aan de rand                                                                                |             [Voer je fruitdetector uit aan de rand](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)           |
+|  18   |   [Productie](./4-manufacturing/README.md)   |        Activeer fruitkwaliteitsdetectie met een sensor     | Leer hoe je fruitkwaliteitsdetectie kunt activeren met een sensor                                                                                          |        [Activeer fruitkwaliteitsdetectie met een sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)       |
+|  19   |          [Detailhandel](./5-retail/README.md)          |                   Train een voorraaddetector               | Leer hoe je objectdetectie kunt gebruiken om een voorraaddetector te trainen om voorraad in een winkel te tellen                                           |                        [Train een voorraaddetector](./5-retail/lessons/1-train-stock-detector/README.md)                    |
+|  20   |          [Detailhandel](./5-retail/README.md)          |               Controleer voorraad vanaf een IoT-apparaat   | Leer hoe je voorraad kunt controleren vanaf een IoT-apparaat met behulp van een objectdetectiemodel                                                        |                     [Controleer voorraad vanaf een IoT-apparaat](./5-retail/lessons/2-check-stock-device/README.md)          |
+|  21   |        [Consument](./6-consumer/README.md)        |             Spraakherkenning met een IoT-apparaat          | Leer hoe je spraak kunt herkennen vanaf een IoT-apparaat om een slimme timer te bouwen                                                                     |                  [Spraakherkenning met een IoT-apparaat](./6-consumer/lessons/1-speech-recognition/README.md)                |
+|  22   |        [Consument](./6-consumer/README.md)        |                     Taal begrijpen                         | Leer hoe je zinnen kunt begrijpen die tegen een IoT-apparaat worden gesproken                                                                              |                        [Taal begrijpen](./6-consumer/lessons/2-language-understanding/README.md)                            |
+|  23   |        [Consument](./6-consumer/README.md)        |           Stel een timer in en geef gesproken feedback     | Leer hoe je een timer kunt instellen op een IoT-apparaat en gesproken feedback kunt geven over wanneer de timer is ingesteld en wanneer deze afloopt        |                 [Stel een timer in en geef gesproken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)            |
+|  24   |        [Consument](./6-consumer/README.md)        |                 Ondersteun meerdere talen                  | Leer hoe je meerdere talen kunt ondersteunen, zowel in gesproken input als in de reacties van je slimme timer                                              |                   [Ondersteun meerdere talen](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline toegang
 
-Je kunt deze documentatie offline gebruiken met [Docsify](https://docsify.js.org/#/). Fork deze repo, [installeer Docsify](https://docsify.js.org/#/quickstart) op je lokale machine, en typ vervolgens in de hoofdmap van deze repo `docsify serve`. De website wordt geserveerd op poort 3000 op je localhost: `localhost:3000`.
+Je kunt deze documentatie offline gebruiken met [Docsify](https://docsify.js.org/#/). Fork deze repository, [installeer Docsify](https://docsify.js.org/#/quickstart) op je lokale machine, en typ vervolgens in de hoofdmap van deze repository `docsify serve`. De website wordt geserveerd op poort 3000 op je localhost: `localhost:3000`.
 
 ## Quiz
 
-Dank aan de community voor het hosten van de interactieve quiz waarmee je je kennis over elk hoofdstuk kunt testen. Test je kennis [hier](https://ff-quizzes.netlify.app/en/) 
+Dank aan de community voor het hosten van de interactieve quiz die je kennis over elk van de hoofdstukken test. Je kunt je kennis [hier testen](https://ff-quizzes.netlify.app/en/).
 
 ### PDF
 
-Je kunt een PDF van deze inhoud genereren voor offline toegang indien nodig. Zorg ervoor dat je [npm geïnstalleerd hebt](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) en voer de volgende commando's uit in de hoofdmap van deze repo:
+Je kunt een PDF van deze inhoud genereren voor offline toegang indien nodig. Zorg ervoor dat je [npm geïnstalleerd hebt](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) en voer de volgende opdrachten uit in de hoofdmap van deze repository:
 
 ```sh
 npm i
@@ -145,8 +150,7 @@ npm run convert
 
 ### Presentaties
 
-Er zijn presentaties beschikbaar voor sommige lessen in de [slides](../../slides) map.
-
+Er zijn presentatiedia's voor sommige lessen in de map [slides](../../slides).
 
 ## Andere curricula
 
@@ -160,36 +164,39 @@ Ons team produceert ook andere curricula! Bekijk:
 [![AI Agents voor Beginners](https://img.shields.io/badge/AI%20Agents%20voor%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generatieve AI Serie
-[![Generatieve AI voor Beginners](https://img.shields.io/badge/Generatieve%20AI%20voor%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generatieve AI (.NET)](https://img.shields.io/badge/Generatieve%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generatieve AI (Java)](https://img.shields.io/badge/Generatieve%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generatieve AI (JavaScript)](https://img.shields.io/badge/Generatieve%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### Generatieve AI-serie
+[![Generatieve AI voor Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generatieve AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generatieve AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generatieve AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Kern Leren
-[![ML voor Beginners](https://img.shields.io/badge/ML%20voor%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science voor Beginners](https://img.shields.io/badge/Data%20Science%20voor%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI voor Beginners](https://img.shields.io/badge/AI%20voor%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cybersecurity voor Beginners](https://img.shields.io/badge/Cybersecurity%20voor%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Webontwikkeling voor Beginners](https://img.shields.io/badge/Web%20Dev%20voor%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT voor Beginners](https://img.shields.io/badge/IoT%20voor%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR Ontwikkeling voor Beginners](https://img.shields.io/badge/XR%20Ontwikkeling%20voor%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML voor Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science voor Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI voor Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersecurity voor Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webontwikkeling voor Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT voor Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR Ontwikkeling voor Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot Serie  
-[![Copilot voor AI Samen Programmeren](https://img.shields.io/badge/Copilot%20voor%20AI%20Samen%20Programmeren-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot voor C#/.NET](https://img.shields.io/badge/Copilot%20voor%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot Avontuur](https://img.shields.io/badge/Copilot%20Avontuur-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot Serie
+[![Copilot voor AI Samen Programmeren](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot voor C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot Avontuur](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Afbeeldingstoeschrijvingen  
+## Afbeelding attributies
 
-Je kunt alle toeschrijvingen voor de gebruikte afbeeldingen in dit curriculum vinden waar nodig in de [Toeschrijvingen](./attributions.md).  
+Je kunt alle attributies voor de gebruikte afbeeldingen in dit curriculum vinden waar nodig in de [Attributies](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Disclaimer**:  
-Dit document is vertaald met behulp van de AI-vertalingsservice [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u zich ervan bewust te zijn dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor kritieke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.
\ No newline at end of file
+Dit document is vertaald met behulp van de AI-vertalingsservice [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u zich ervan bewust te zijn dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor kritieke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/no/README.md b/translations/no/README.md
index 1512656bb..a6cf11561 100644
--- a/translations/no/README.md
+++ b/translations/no/README.md
@@ -1,134 +1,139 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:14:02+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:47:10+00:00",
   "source_file": "README.md",
   "language_code": "no"
 }
 -->
-[![GitHub-lisens](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub-bidragsytere](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub-problemer](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Velkommen](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub-lisens](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub-bidragsytere](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub-problemer](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-forespørsler](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Velkommen](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub-observatører](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub-forker](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub-stjerner](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub-observatører](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub-forker](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub-stjerner](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Bli med i Azure AI Foundry Community 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Bli med i Azure AI Foundry-fellesskapet  
 
-Følg disse stegene for å komme i gang med ressursene:
-1. **Fork repositoryen**: Klikk [![GitHub-forker](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klon repositoryen**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Bli med i Azure AI Foundry Discord og møt eksperter og andre utviklere**](https://discord.com/invite/ByRwuEEgH4)
+Hvis du står fast eller har spørsmål om å bygge AI-applikasjoner, kan du bli med andre lærere og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap hvor spørsmål er velkomne og kunnskap deles fritt.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Støtte for flere språk
+Hvis du har produktfeedback eller opplever feil under bygging, besøk:  
 
-#### Støttet via GitHub Action (Automatisk og alltid oppdatert)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (forenklet)](../zh/README.md) | [Kinesisk (tradisjonell, Hong Kong)](../hk/README.md) | [Kinesisk (tradisjonell, Macau)](../mo/README.md) | [Kinesisk (tradisjonell, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tsjekkisk](../cs/README.md) | [Dansk](../da/README.md) | [Nederlandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Gresk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norsk](./README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasil)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumensk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Følg disse trinnene for å komme i gang med å bruke disse ressursene:  
+1. **Fork repoet**: Klikk [![GitHub-forker](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klon repoet**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Bli med i Microsoft Foundry Discord og møt eksperter og andre utviklere**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT for nybegynnere - Et pensum
+### 🌐 Støtte for flere språk  
 
-Azure Cloud Advocates hos Microsoft er glade for å tilby et 12-ukers, 24-leksjons pensum som handler om IoT-grunnleggende. Hver leksjon inkluderer quiz før og etter leksjonen, skriftlige instruksjoner for å fullføre leksjonen, en løsning, en oppgave og mer. Vår prosjektbaserte pedagogikk lar deg lære mens du bygger, en bevist måte å få nye ferdigheter til å sitte.
+#### Støttet via GitHub Action (Automatisert og alltid oppdatert)  
 
-Prosjektene dekker reisen til mat fra gård til bord. Dette inkluderer jordbruk, logistikk, produksjon, detaljhandel og forbruker - alle populære bransjeområder for IoT-enheter.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (Forenklet)](../zh/README.md) | [Kinesisk (Tradisjonell, Hong Kong)](../hk/README.md) | [Kinesisk (Tradisjonell, Macau)](../mo/README.md) | [Kinesisk (Tradisjonell, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tsjekkisk](../cs/README.md) | [Dansk](../da/README.md) | [Nederlandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Gresk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeriansk Pidgin](../pcm/README.md) | [Norsk](./README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasil)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumensk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (Kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![Et veikart for kurset som viser 24 leksjoner som dekker introduksjon, jordbruk, transport, prosessering, detaljhandel og matlaging](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.no.jpg)
+# IoT for nybegynnere - En læreplan  
 
-> Sketchnote av [Nitya Narasimhan](https://github.com/nitya). Klikk på bildet for en større versjon.
+Azure Cloud Advocates hos Microsoft er glade for å tilby en 12-ukers, 24-leksjons læreplan om IoT-grunnleggende. Hver leksjon inkluderer quiz før og etter leksjonen, skriftlige instruksjoner for å fullføre leksjonen, en løsning, en oppgave og mer. Vår prosjektbaserte pedagogikk lar deg lære mens du bygger, en bevist måte å få nye ferdigheter til å "sitte fast".  
 
-**Stor takk til våre forfattere [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), og vår sketchnote-artist [Nitya Narasimhan](https://github.com/nitya).**
+Prosjektene dekker reisen til mat fra gård til bord. Dette inkluderer jordbruk, logistikk, produksjon, detaljhandel og forbruker - alle populære bransjeområder for IoT-enheter.  
 
-**Takk også til vårt team av [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) som har gjennomgått og oversatt dette pensumet - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), og [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![En veikart for kurset som viser 24 leksjoner som dekker intro, jordbruk, transport, prosessering, detaljhandel og matlaging](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.no.jpg)  
 
-Møt teamet!
+> Sketchnote av [Nitya Narasimhan](https://github.com/nitya). Klikk på bildet for en større versjon.  
 
-[![Promo-video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Stor takk til våre forfattere [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), og vår sketchnote-kunstner [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif av** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Takk også til vårt team av [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) som har gjennomgått og oversatt denne læreplanen - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), og [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Klikk på bildet over for en video om prosjektet!
+Møt teamet!  
 
-> **Lærere**, vi har [inkludert noen forslag](for-teachers.md) om hvordan du kan bruke dette pensumet. Hvis du ønsker å lage dine egne leksjoner, har vi også inkludert en [leksjonsmal](lesson-template/README.md).
+[![Promo-video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Studenter](https://aka.ms/student-page)**, for å bruke dette pensumet på egen hånd, fork hele repoet og fullfør oppgavene selv, start med en quiz før leksjonen, les deretter leksjonen og fullfør resten av aktivitetene. Prøv å lage prosjektene ved å forstå leksjonene i stedet for å kopiere løsningskoden; men den koden er tilgjengelig i /solutions-mappene i hver prosjektorienterte leksjon. En annen idé kan være å danne en studiegruppe med venner og gå gjennom innholdet sammen. For videre studier anbefaler vi [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+**Gif av** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-For en videooversikt over dette kurset, sjekk ut denne videoen:
+> 🎥 Klikk på bildet over for en video om prosjektet!  
 
-[![Promo-video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo-video")
+> **Lærere**, vi har [inkludert noen forslag](for-teachers.md) om hvordan du kan bruke denne læreplanen. Hvis du ønsker å lage dine egne leksjoner, har vi også inkludert en [leksjonsmal](lesson-template/README.md).  
 
-> 🎥 Klikk på bildet over for en video om prosjektet!
+> **[Studenter](https://aka.ms/student-page)**, for å bruke denne læreplanen på egen hånd, fork hele repoet og fullfør øvelsene selv, start med en quiz før forelesningen, les deretter forelesningen og fullfør resten av aktivitetene. Prøv å lage prosjektene ved å forstå leksjonene i stedet for å kopiere løsningskoden; denne koden er imidlertid tilgjengelig i /solutions-mappene i hver prosjektorienterte leksjon. En annen idé kan være å danne en studiegruppe med venner og gå gjennom innholdet sammen. For videre studier anbefaler vi [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-## Pedagogikk
+For en videooversikt over dette kurset, sjekk ut denne videoen:  
 
-Vi har valgt to pedagogiske prinsipper mens vi bygde dette pensumet: å sikre at det er prosjektbasert og at det inkluderer hyppige quizer. Ved slutten av denne serien vil studentene ha bygget et system for overvåking og vanning av planter, en kjøretøysporer, et smart fabrikkanlegg for å spore og kontrollere mat, og en stemmestyrt matlagingsklokke, og vil ha lært det grunnleggende om Internet of Things, inkludert hvordan man skriver enhetskode, kobler til skyen, analyserer telemetri og kjører AI på kanten.
+[![Promo-video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo-video")  
 
-Ved å sikre at innholdet er knyttet til prosjekter, blir prosessen mer engasjerende for studentene, og begrepsforståelsen vil bli styrket.
+> 🎥 Klikk på bildet over for en video om prosjektet!  
 
-I tillegg setter en lavterskel quiz før en klasse studentens intensjon mot å lære et emne, mens en andre quiz etter klassen sikrer ytterligere forståelse. Dette pensumet ble designet for å være fleksibelt og morsomt og kan tas i sin helhet eller delvis. Prosjektene starter små og blir stadig mer komplekse mot slutten av den 12-ukers syklusen.
+## Pedagogikk  
 
-Hvert prosjekt er basert på ekte maskinvare tilgjengelig for studenter og hobbyister. Hvert prosjekt ser på det spesifikke prosjektområdet og gir relevant bakgrunnskunnskap. For å være en vellykket utvikler hjelper det å forstå området der du løser problemer, og å gi denne bakgrunnskunnskapen lar studentene tenke på IoT-løsningene og læringene sine i konteksten av den typen reelle problemer de kan bli bedt om å løse som IoT-utviklere. Studentene lærer 'hvorfor' bak løsningene de bygger, og får en forståelse for sluttbrukeren.
+Vi har valgt to pedagogiske prinsipper mens vi bygde denne læreplanen: å sikre at den er prosjektbasert og at den inkluderer hyppige quizer. Ved slutten av denne serien vil studentene ha bygget et system for overvåking og vanning av planter, en kjøretøysporer, et smart fabrikkanlegg for å spore og sjekke mat, og en stemmestyrt matlagingsklokke, og vil ha lært det grunnleggende om tingenes internett, inkludert hvordan man skriver enhetskode, kobler til skyen, analyserer telemetri og kjører AI på kanten.  
 
-## Maskinvare
+Ved å sikre at innholdet er knyttet til prosjekter, blir prosessen mer engasjerende for studentene, og forståelsen av konseptene vil bli styrket.  
 
-Vi har to valg av IoT-maskinvare som kan brukes til prosjektene, avhengig av personlig preferanse, programmeringsspråkkunnskap eller preferanser, læringsmål og tilgjengelighet. Vi har også gitt en 'virtuell maskinvare'-versjon for de som ikke har tilgang til maskinvare, eller ønsker å lære mer før de forplikter seg til et kjøp. Du kan lese mer og finne en 'handleliste' på [maskinvare-siden](./hardware.md), inkludert lenker for å kjøpe komplette sett fra våre venner hos Seeed Studio.
+I tillegg setter en lavterskelquiz før en klasse studentens intensjon mot å lære et emne, mens en andre quiz etter klassen sikrer ytterligere forståelse. Denne læreplanen er designet for å være fleksibel og morsom og kan tas i sin helhet eller delvis. Prosjektene starter små og blir stadig mer komplekse mot slutten av den 12-ukers syklusen.  
 
-> 💁 Finn vår [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), og [Translation](TRANSLATIONS.md) retningslinjer. Vi ønsker din konstruktive tilbakemelding velkommen!
+Hvert prosjekt er basert på ekte maskinvare tilgjengelig for studenter og hobbyister. Hvert prosjekt ser på det spesifikke prosjektområdet og gir relevant bakgrunnskunnskap. For å bli en vellykket utvikler hjelper det å forstå domenet der du løser problemer. Å gi denne bakgrunnskunnskapen lar studentene tenke på IoT-løsningene og læringene sine i sammenheng med den typen reelle problemer de kan bli bedt om å løse som IoT-utviklere. Studentene lærer "hvorfor" bak løsningene de bygger, og får en forståelse for sluttbrukeren.  
 
-## Hver leksjon inkluderer:
+## Maskinvare  
 
-- sketchnote
-- valgfri tilleggsvideo
-- quiz før leksjonen
-- skriftlig leksjon
-- for prosjektbaserte leksjoner, trinnvise guider om hvordan man bygger prosjektet
-- kunnskapssjekker
-- en utfordring
-- tilleggslesing
-- oppgave
-- [quiz etter leksjonen](https://ff-quizzes.netlify.app/en/)
+Vi har to valg av IoT-maskinvare som kan brukes til prosjektene, avhengig av personlige preferanser, programmeringsspråkkunnskaper eller preferanser, læringsmål og tilgjengelighet. Vi har også gitt en "virtuell maskinvare"-versjon for de som ikke har tilgang til maskinvare, eller som ønsker å lære mer før de kjøper. Du kan lese mer og finne en "handleliste" på [maskinvare-siden](./hardware.md), inkludert lenker for å kjøpe komplette sett fra våre venner hos Seeed Studio.  
 
-> **En merknad om quizer**: Alle quizer er inneholdt i quiz-app-mappen, for totalt 48 quizer med tre spørsmål hver. De er lenket fra leksjonene, men quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app`-mappen. De blir gradvis lokalisert.
+> 💁 Finn vår [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), og [Translation](TRANSLATIONS.md) retningslinjer. Vi ønsker din konstruktive tilbakemelding velkommen!  
+
+## Hver leksjon inkluderer:  
+
+- sketchnote  
+- valgfri tilleggsvideo  
+- oppvarmingsquiz før leksjonen  
+- skriftlig leksjon  
+- for prosjektbaserte leksjoner, trinnvise guider om hvordan man bygger prosjektet  
+- kunnskapssjekker  
+- en utfordring  
+- tilleggslesing  
+- oppgave  
+- [quiz etter leksjonen](https://ff-quizzes.netlify.app/en/)  
+> **En merknad om quizer**: Alle quizer er plassert i quiz-app-mappen, totalt 48 quizer med tre spørsmål hver. De er lenket fra leksjonene, men quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app`-mappen. De blir gradvis lokalisert.
 
 ## Leksjoner
 
 |       |              Prosjektnavn              |                       Konsepter som læres                       | Læringsmål                                                                                                                                                 |                                                        Lenket leksjon                                                         |
-| :---: | :------------------------------------: | :-------------------------------------------------------------: | ----------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Kom i gang](./1-getting-started/README.md) |                     Introduksjon til IoT                     | Lær de grunnleggende prinsippene for IoT og de grunnleggende byggesteinene i IoT-løsninger som sensorer og skytjenester mens du setter opp din første IoT-enhet |                      [Introduksjon til IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Kom i gang](./1-getting-started/README.md) |                   Et dypere dykk i IoT                    | Lær mer om komponentene i et IoT-system, samt mikrokontrollere og enkeltkortdatamaskiner                                                            |                        [Et dypere dykk i IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Kom i gang](./1-getting-started/README.md) | Interagere med den fysiske verden med sensorer og aktuatorer | Lær om sensorer for å samle data fra den fysiske verden, og aktuatorer for å sende tilbakemeldinger, mens du bygger en nattlampe                                           | [Interagere med den fysiske verden med sensorer og aktuatorer](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Kom i gang](./1-getting-started/README.md) |             Koble enheten din til Internett             | Lær hvordan du kobler en IoT-enhet til Internett for å sende og motta meldinger ved å koble nattlampen din til en MQTT-broker                               |               [Koble enheten din til Internett](./1-getting-started/lessons/4-connect-internet/README.md)                |
+| :---: | :------------------------------------: | :-------------------------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Kom i gang](./1-getting-started/README.md) |                     Introduksjon til IoT                     | Lær de grunnleggende prinsippene for IoT og de grunnleggende byggeklossene i IoT-løsninger som sensorer og skytjenester mens du setter opp din første IoT-enhet |                      [Introduksjon til IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Kom i gang](./1-getting-started/README.md) |                   Et dypdykk i IoT                    | Lær mer om komponentene i et IoT-system, samt mikrokontrollere og enkeltkortdatamaskiner                                                            |                        [Et dypdykk i IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Kom i gang](./1-getting-started/README.md) | Samhandle med den fysiske verden med sensorer og aktuatorer | Lær om sensorer for å samle data fra den fysiske verden, og aktuatorer for å sende tilbakemeldinger, mens du bygger en nattlampe                                           | [Samhandle med den fysiske verden med sensorer og aktuatorer](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Kom i gang](./1-getting-started/README.md) |             Koble enheten din til Internett             | Lær hvordan du kobler en IoT-enhet til Internett for å sende og motta meldinger ved å koble nattlampen din til en MQTT-megler                               |               [Koble enheten din til Internett](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [Gård](./2-farm/README.md)            |                    Forutsi plantevekst                     | Lær hvordan du kan forutsi plantevekst ved hjelp av temperaturdata samlet inn av en IoT-enhet                                                                                  |                          [Forutsi plantevekst](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [Gård](./2-farm/README.md)            |                    Oppdage jordfuktighet                     | Lær hvordan du kan oppdage jordfuktighet og kalibrere en jordfuktighetssensor                                                                                              |                          [Oppdage jordfuktighet](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
 |  07   |            [Gård](./2-farm/README.md)            |                  Automatisert plantevanning                   | Lær hvordan du kan automatisere og tidsstyre vanning ved hjelp av et relé og MQTT                                                                                                      |                      [Automatisert plantevanning](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Gård](./2-farm/README.md)            |               Flytt planten din til skyen               | Lær om skyen og skybaserte IoT-tjenester og hvordan du kan koble planten din til en av disse i stedet for en offentlig MQTT-broker                                   |               [Flytt planten din til skyen](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Gård](./2-farm/README.md)            |         Flytt applikasjonslogikken din til skyen         | Lær hvordan du kan skrive applikasjonslogikk i skyen som reagerer på IoT-meldinger                                                                          |         [Flytt applikasjonslogikken din til skyen](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  08   |            [Gård](./2-farm/README.md)            |               Migrer planten din til skyen               | Lær om skyen og skybaserte IoT-tjenester og hvordan du kan koble planten din til en av disse i stedet for en offentlig MQTT-megler                                   |               [Migrer planten din til skyen](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Gård](./2-farm/README.md)            |         Migrer applikasjonslogikken din til skyen         | Lær hvordan du kan skrive applikasjonslogikk i skyen som reagerer på IoT-meldinger                                                                          |         [Migrer applikasjonslogikken din til skyen](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Gård](./2-farm/README.md)            |                   Hold planten din sikker                    | Lær om sikkerhet med IoT og hvordan du kan holde planten din sikker med nøkler og sertifikater                                                                          |                        [Hold planten din sikker](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Transport](./3-transport/README.md)       |                      Lokasjonssporing                      | Lær om GPS-lokasjonssporing for IoT-enheter                                                                                                                   |                           [Lokasjonssporing](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Lagre lokasjonsdata                     | Lær hvordan du kan lagre IoT-data for å visualisere eller analysere senere                                                                                                      |                         [Lagre lokasjonsdata](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Visualisere lokasjonsdata                   | Lær om visualisering av lokasjonsdata på et kart, og hvordan kart representerer den virkelige 3D-verdenen i 2 dimensjoner                                                            |                     [Visualisere lokasjonsdata](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  12   |       [Transport](./3-transport/README.md)       |                     Lagre lokasjonsdata                     | Lær hvordan du kan lagre IoT-data for å visualisere eller analysere dem senere                                                                                                      |                         [Lagre lokasjonsdata](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Visualisere lokasjonsdata                   | Lær om å visualisere lokasjonsdata på et kart, og hvordan kart representerer den virkelige 3D-verdenen i 2 dimensjoner                                                            |                     [Visualisere lokasjonsdata](./3-transport/lessons/3-visualize-location-data/README.md)                     |
 |  14   |       [Transport](./3-transport/README.md)       |                          Geogjerder                          | Lær om geogjerder, og hvordan de kan brukes til å varsle når kjøretøy i forsyningskjeden er nær sin destinasjon                                           |                                   [Geogjerder](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Produksjon](./4-manufacturing/README.md)   |               Tren en fruktkvalitetsdetektor                | Lær om å trene en bildekategoriserer i skyen for å oppdage fruktkvalitet                                                                                       |                 [Tren en fruktkvalitetsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  15   |   [Produksjon](./4-manufacturing/README.md)   |               Tren en fruktkvalitetsdetektor                | Lær om å trene en bildeklassifiserer i skyen for å oppdage fruktkvalitet                                                                                       |                 [Tren en fruktkvalitetsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
 |  16   |   [Produksjon](./4-manufacturing/README.md)   |           Sjekk fruktkvalitet fra en IoT-enhet            | Lær om å bruke fruktkvalitetsdetektoren din fra en IoT-enhet                                                                                                    |           [Sjekk fruktkvalitet fra en IoT-enhet](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [Produksjon](./4-manufacturing/README.md)   |             Kjør fruktdetektoren din på kanten             | Lær om å kjøre fruktdetektoren din på en IoT-enhet på kanten                                                                                                |             [Kjør fruktdetektoren din på kanten](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Produksjon](./4-manufacturing/README.md)   |        Utløse fruktkvalitetsdeteksjon fra en sensor        | Lær om å utløse fruktkvalitetsdeteksjon fra en sensor                                                                                                        |        [Utløse fruktkvalitetsdeteksjon fra en sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Detaljhandel](./5-retail/README.md)          |                   Tren en lagerdetektor                    | Lær hvordan du kan bruke objektdeteksjon til å trene en lagerdetektor for å telle lager i en butikk                                                                                |                        [Tren en lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  18   |   [Produksjon](./4-manufacturing/README.md)   |        Utløs fruktkvalitetsdeteksjon fra en sensor        | Lær om å utløse fruktkvalitetsdeteksjon fra en sensor                                                                                                        |        [Utløs fruktkvalitetsdeteksjon fra en sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Detaljhandel](./5-retail/README.md)          |                   Tren en lagerdetektor                    | Lær hvordan du kan bruke objektdeteksjon for å trene en lagerdetektor til å telle varer i en butikk                                                                                |                        [Tren en lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [Detaljhandel](./5-retail/README.md)          |               Sjekk lager fra en IoT-enhet                | Lær hvordan du kan sjekke lager fra en IoT-enhet ved hjelp av en objektdeteksjonsmodell                                                                                         |                     [Sjekk lager fra en IoT-enhet](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [Forbruker](./6-consumer/README.md)        |             Gjenkjenne tale med en IoT-enhet             | Lær hvordan du kan gjenkjenne tale fra en IoT-enhet for å bygge en smart timer                                                                                             |                  [Gjenkjenne tale med en IoT-enhet](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [Forbruker](./6-consumer/README.md)        |                     Forstå språk                     | Lær hvordan du kan forstå setninger som blir sagt til en IoT-enhet                                                                                                           |                        [Forstå språk](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Forbruker](./6-consumer/README.md)        |           Sett en timer og gi muntlig tilbakemelding           | Lær hvordan du kan sette en timer på en IoT-enhet og gi muntlig tilbakemelding om når timeren er satt og når den avsluttes                                                    |                 [Sett en timer og gi muntlig tilbakemelding](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Forbruker](./6-consumer/README.md)        |                 Støtte flere språk                  | Lær hvordan du kan støtte flere språk, både når det blir snakket til og svarene fra din smarte timer                                                               |                   [Støtte flere språk](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  23   |        [Forbruker](./6-consumer/README.md)        |           Sett en timer og gi muntlig tilbakemelding           | Lær hvordan du kan sette en timer på en IoT-enhet og gi muntlig tilbakemelding om når timeren er satt og når den er ferdig                                                    |                 [Sett en timer og gi muntlig tilbakemelding](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Forbruker](./6-consumer/README.md)        |                 Støtte flere språk                  | Lær hvordan du kan støtte flere språk, både når det gjelder å bli snakket til og svarene fra din smarte timer                                                               |                   [Støtte flere språk](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline tilgang
 
-Du kan kjøre denne dokumentasjonen offline ved å bruke [Docsify](https://docsify.js.org/#/). Fork dette repoet, [installer Docsify](https://docsify.js.org/#/quickstart) på din lokale maskin, og deretter i rotmappen til dette repoet, skriv `docsify serve`. Nettstedet vil bli servert på port 3000 på din localhost: `localhost:3000`.
+Du kan kjøre denne dokumentasjonen offline ved å bruke [Docsify](https://docsify.js.org/#/). Fork dette repoet, [installer Docsify](https://docsify.js.org/#/quickstart) på din lokale maskin, og skriv deretter `docsify serve` i rotmappen til dette repoet. Nettstedet vil bli servert på port 3000 på din localhost: `localhost:3000`.
 
 ## Quiz
 
@@ -150,7 +155,7 @@ Det finnes lysbildesett for noen av leksjonene i [slides](../../slides)-mappen.
 
 ## Andre læreplaner
 
-Vårt team produserer andre læreplaner! Sjekk ut:
+Teamet vårt produserer andre læreplaner! Sjekk ut:
 
 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agenter
@@ -168,29 +173,31 @@ Vårt team produserer andre læreplaner! Sjekk ut:
 [![Generativ AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Grunnleggende læring
-[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
-[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
-[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
-[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
-[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
-[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ML for nybegynnere](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science for nybegynnere](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI for nybegynnere](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersikkerhet for nybegynnere](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webutvikling for nybegynnere](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT for nybegynnere](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR-utvikling for nybegynnere](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### Copilot-serien
-[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot for AI-parprogrammering](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
 [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
-[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+[![Copilot-eventyr](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
 ## Bildekrediteringer
 
-Du finner alle krediteringer for bildene som er brukt i dette kurset der det er nødvendig i [Krediteringer](./attributions.md).
+Du finner alle krediteringer for bildene som er brukt i dette pensumet der det er nødvendig i [Krediteringer](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Ansvarsfraskrivelse**:  
-Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi tilstreber nøyaktighet, vær oppmerksom på at automatiserte oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk bør anses som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.
\ No newline at end of file
+Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi tilstreber nøyaktighet, vennligst vær oppmerksom på at automatiserte oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk bør betraktes som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pa/README.md b/translations/pa/README.md
index 9ed96f762..6947b1a8e 100644
--- a/translations/pa/README.md
+++ b/translations/pa/README.md
@@ -1,183 +1,187 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:05:59+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:32:54+00:00",
   "source_file": "README.md",
   "language_code": "pa"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Azure AI Foundry ਕਮਿਊਨਿਟੀ ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
+### Azure AI Foundry ਕਮਿਊਨਿਟੀ ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ
 
-ਇਹ ਸਰੋਤਾਂ ਦੀ ਵਰਤੋਂ ਸ਼ੁਰੂ ਕਰਨ ਲਈ ਹੇਠਾਂ ਦਿੱਤੇ ਕਦਮਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ:  
-1. **ਰੇਪੋ ਫੋਰਕ ਕਰੋ**: ਕਲਿਕ ਕਰੋ [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
-2. **ਰੇਪੋ ਕਲੋਨ ਕਰੋ**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Azure AI Foundry Discord ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ ਅਤੇ ਮਾਹਰਾਂ ਅਤੇ ਹੋਰ ਡਿਵੈਲਪਰਾਂ ਨਾਲ ਮਿਲੋ**](https://discord.com/invite/ByRwuEEgH4)  
+ਜੇ ਤੁਸੀਂ ਫਸ ਜਾਓ ਜਾਂ AI ਐਪਸ ਬਣਾਉਣ ਬਾਰੇ ਕੋਈ ਸਵਾਲ ਹੋਵੇ। MCP ਬਾਰੇ ਚਰਚਾ ਕਰਨ ਲਈ ਸਿੱਖਣ ਵਾਲਿਆਂ ਅਤੇ ਅਨੁਭਵੀ ਡਿਵੈਲਪਰਾਂ ਨਾਲ ਜੁੜੋ। ਇਹ ਇੱਕ ਸਹਾਇਕ ਕਮਿਊਨਿਟੀ ਹੈ ਜਿੱਥੇ ਸਵਾਲਾਂ ਦਾ ਸਵਾਗਤ ਕੀਤਾ ਜਾਂਦਾ ਹੈ ਅਤੇ ਗਿਆਨ ਮੁਫ਼ਤ ਸਾਂਝਾ ਕੀਤਾ ਜਾਂਦਾ ਹੈ।
 
-### 🌐 ਬਹੁ-ਭਾਸ਼ਾ ਸਹਾਇਤਾ  
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
 
-#### GitHub Action ਰਾਹੀਂ ਸਹਾਇਕ (ਆਟੋਮੈਟਿਕ ਅਤੇ ਹਮੇਸ਼ਾ ਅਪਡੇਟ)  
+ਜੇ ਤੁਹਾਨੂੰ ਉਤਪਾਦ ਫੀਡਬੈਕ ਜਾਂ ਬਣਾਉਣ ਦੌਰਾਨ ਗਲਤੀਆਂ ਮਿਲਦੀਆਂ ਹਨ ਤਾਂ ਜਾਓ:
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](./README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
-# ਸ਼ੁਰੂਆਤੀ ਲਈ IoT - ਇੱਕ ਪਾਠਕ੍ਰਮ  
+ਇਹ ਸਰੋਤਾਂ ਦੀ ਵਰਤੋਂ ਸ਼ੁਰੂ ਕਰਨ ਲਈ ਹੇਠਾਂ ਦਿੱਤੇ ਕਦਮਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ:
+1. **ਰੇਪੋ ਫੋਰਕ ਕਰੋ**: ਕਲਿੱਕ ਕਰੋ [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **ਰੇਪੋ ਕਲੋਨ ਕਰੋ**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Microsoft Foundry Discord ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ ਅਤੇ ਮਾਹਰਾਂ ਅਤੇ ਹੋਰ ਡਿਵੈਲਪਰਾਂ ਨਾਲ ਮਿਲੋ**](https://discord.com/invite/ByRwuEEgH4)
 
-Microsoft ਦੇ Azure Cloud Advocates ਨੇ IoT ਬੁਨਿਆਦੀਆਂ ਬਾਰੇ 12 ਹਫ਼ਤਿਆਂ, 24 ਪਾਠਾਂ ਦਾ ਪਾਠਕ੍ਰਮ ਪੇਸ਼ ਕਰਨ ਵਿੱਚ ਖੁਸ਼ੀ ਮਹਿਸੂਸ ਕੀਤੀ ਹੈ। ਹਰ ਪਾਠ ਵਿੱਚ ਪਾਠ ਤੋਂ ਪਹਿਲਾਂ ਅਤੇ ਬਾਅਦ ਦੇ ਕਵਿਜ਼, ਪਾਠ ਪੂਰਾ ਕਰਨ ਲਈ ਲਿਖਤ ਹਦਾਇਤਾਂ, ਇੱਕ ਹੱਲ, ਇੱਕ ਅਸਾਈਨਮੈਂਟ ਅਤੇ ਹੋਰ ਬਹੁਤ ਕੁਝ ਸ਼ਾਮਲ ਹੈ। ਸਾਡੇ ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਪੈਡਾਗੌਜੀ ਤੁਹਾਨੂੰ ਸਿਖਾਉਣ ਦੇ ਦੌਰਾਨ ਬਣਾਉਣ ਦੀ ਆਗਿਆ ਦਿੰਦੀ ਹੈ, ਨਵੀਆਂ ਹੁਨਰਾਂ ਨੂੰ 'ਚਿਪਕਾਉਣ' ਦਾ ਸਾਬਤ ਤਰੀਕਾ।  
+### 🌐 ਬਹੁ-ਭਾਸ਼ਾ ਸਹਾਇਤਾ
 
-ਇਹ ਪ੍ਰੋਜੈਕਟ ਖੇਤੀ ਤੋਂ ਮੀਜ਼ ਤੱਕ ਭੋਜਨ ਦੇ ਯਾਤਰਾ ਨੂੰ ਕਵਰ ਕਰਦੇ ਹਨ। ਇਸ ਵਿੱਚ ਖੇਤੀਬਾੜੀ, ਲਾਜਿਸਟਿਕਸ, ਨਿਰਮਾਣ, ਰਿਟੇਲ ਅਤੇ ਉਪਭੋਗਤਾ ਸ਼ਾਮਲ ਹਨ - IoT ਡਿਵਾਈਸਾਂ ਲਈ ਸਾਰੇ ਲੋਕਪ੍ਰਿਯ ਉਦਯੋਗ ਖੇਤਰ।  
+#### GitHub Action ਰਾਹੀਂ ਸਹਾਇਤ (ਆਟੋਮੈਟਿਕ ਅਤੇ ਹਮੇਸ਼ਾ ਅਪ-ਟੂ-ਡੇਟ)
 
-![ਕੋਰਸ ਲਈ ਇੱਕ ਰੋਡ ਮੈਪ ਜੋ 24 ਪਾਠਾਂ ਨੂੰ ਕਵਰ ਕਰਦਾ ਹੈ ਜਿਨ੍ਹਾਂ ਵਿੱਚ ਜਾਣ ਪਛਾਣ, ਖੇਤੀਬਾੜੀ, ਆਵਾਜਾਈ, ਪ੍ਰੋਸੈਸਿੰਗ, ਰਿਟੇਲ ਅਤੇ ਪਕਾਉਣਾ ਸ਼ਾਮਲ ਹੈ](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pa.jpg)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](./README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-> [ਨਿਤਿਆ ਨਰਸਿੰਮਨ](https://github.com/nitya) ਦੁਆਰਾ ਬਣਾਈ ਗਈ ਸਕੈਚਨੋਟ। ਵੱਡੇ ਵਰਜਨ ਲਈ ਚਿੱਤਰ 'ਤੇ ਕਲਿਕ ਕਰੋ।  
+# ਸ਼ੁਰੂਆਤੀ ਲਈ IoT - ਇੱਕ ਪਾਠਕ੍ਰਮ
 
-**ਸਾਡੇ ਲੇਖਕਾਂ [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), ਅਤੇ ਸਾਡੇ ਸਕੈਚਨੋਟ ਕਲਾਕਾਰ [Nitya Narasimhan](https://github.com/nitya) ਨੂੰ ਦਿਲੋਂ ਧੰਨਵਾਦ।**  
+Microsoft ਦੇ Azure Cloud Advocates ਨੇ IoT ਦੀਆਂ ਬੁਨਿਆਦੀਆਂ ਬਾਰੇ 12 ਹਫ਼ਤਿਆਂ, 24 ਪਾਠਾਂ ਦਾ ਪਾਠਕ੍ਰਮ ਪੇਸ਼ ਕਰਨ ਲਈ ਖੁਸ਼ੀ ਪ੍ਰਗਟਾਈ ਹੈ। ਹਰ ਪਾਠ ਵਿੱਚ ਪਾਠ ਤੋਂ ਪਹਿਲਾਂ ਅਤੇ ਬਾਅਦ ਦੇ ਕਵਿਜ਼, ਪਾਠ ਪੂਰਾ ਕਰਨ ਲਈ ਲਿਖਤ ਹਦਾਇਤਾਂ, ਇੱਕ ਹੱਲ, ਇੱਕ ਅਸਾਈਨਮੈਂਟ ਅਤੇ ਹੋਰ ਬਹੁਤ ਕੁਝ ਸ਼ਾਮਲ ਹੈ। ਸਾਡੇ ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਪੈਡਾਗੌਜੀ ਤੁਹਾਨੂੰ ਬਣਾਉਣ ਦੇ ਦੌਰਾਨ ਸਿੱਖਣ ਦੀ ਆਗਿਆ ਦਿੰਦਾ ਹੈ, ਨਵੀਆਂ ਹੁਨਰਾਂ ਨੂੰ 'ਚਿਪਕਾਉਣ' ਦਾ ਇੱਕ ਸਾਬਤ ਤਰੀਕਾ।
 
-**ਸਾਡੇ [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ਦੀ ਟੀਮ ਨੂੰ ਵੀ ਧੰਨਵਾਦ ਜਿਨ੍ਹਾਂ ਨੇ ਇਸ ਪਾਠਕ੍ਰਮ ਦੀ ਸਮੀਖਾ ਕੀਤੀ ਅਤੇ ਅਨੁਵਾਦ ਕੀਤਾ - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), ਅਤੇ [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)।**  
+ਪ੍ਰੋਜੈਕਟਾਂ ਵਿੱਚ ਖੇਤੀ ਤੋਂ ਲੈ ਕੇ ਖਾਣੇ ਦੀ ਯਾਤਰਾ ਨੂੰ ਕਵਰ ਕੀਤਾ ਗਿਆ ਹੈ। ਇਸ ਵਿੱਚ ਖੇਤੀਬਾੜੀ, ਲਾਜਿਸਟਿਕਸ, ਮੈਨੂਫੈਕਚਰਿੰਗ, ਰਿਟੇਲ ਅਤੇ ਉਪਭੋਗਤਾ ਸ਼ਾਮਲ ਹਨ - IoT ਡਿਵਾਈਸਾਂ ਲਈ ਸਾਰੇ ਲੋਕਪ੍ਰਿਯ ਉਦਯੋਗ ਖੇਤਰ।
 
-ਟੀਮ ਨਾਲ ਮਿਲੋ!  
+![ਕੋਰਸ ਲਈ ਇੱਕ ਰੋਡ ਮੈਪ ਜੋ 24 ਪਾਠਾਂ ਨੂੰ ਕਵਰ ਕਰਦਾ ਹੈ ਜਿਨ੍ਹਾਂ ਵਿੱਚ ਜਾਣ-ਪਛਾਣ, ਖੇਤੀਬਾੜੀ, ਆਵਾਜਾਈ, ਪ੍ਰੋਸੈਸਿੰਗ, ਰਿਟੇਲ ਅਤੇ ਪਕਾਉਣਾ ਸ਼ਾਮਲ ਹੈ](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pa.jpg)
 
-[![ਪ੍ਰੋਮੋ ਵੀਡੀਓ](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
+> [ਨਿਤਿਆ ਨਰਸਿੰਮਨ](https://github.com/nitya) ਦੁਆਰਾ ਸਕੈਚਨੋਟ। ਵੱਡੇ ਵਰਜਨ ਲਈ ਚਿੱਤਰ 'ਤੇ ਕਲਿੱਕ ਕਰੋ।
 
-**Gif ਦੁਆਰਾ** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
+**ਸਾਡੇ ਲੇਖਕਾਂ [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), ਅਤੇ ਸਾਡੇ ਸਕੈਚਨੋਟ ਕਲਾਕਾਰ [Nitya Narasimhan](https://github.com/nitya) ਨੂੰ ਦਿਲੋਂ ਧੰਨਵਾਦ।**
 
-> 🎥 ਉਪਰੋਕਤ ਚਿੱਤਰ 'ਤੇ ਕਲਿਕ ਕਰੋ ਪ੍ਰੋਜੈਕਟ ਬਾਰੇ ਇੱਕ ਵੀਡੀਓ ਲਈ!  
+**ਸਾਡੇ [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ਦੀ ਟੀਮ ਨੂੰ ਵੀ ਧੰਨਵਾਦ ਜਿਨ੍ਹਾਂ ਨੇ ਇਸ ਪਾਠਕ੍ਰਮ ਦੀ ਸਮੀਖਾ ਕੀਤੀ ਅਤੇ ਅਨੁਵਾਦ ਕੀਤਾ - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), ਅਤੇ [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)।**
 
-> **ਅਧਿਆਪਕ**, ਅਸੀਂ ਇਸ ਪਾਠਕ੍ਰਮ ਨੂੰ ਵਰਤਣ ਲਈ ਕੁਝ ਸੁਝਾਅ [ਸ਼ਾਮਲ ਕੀਤੇ ਹਨ](for-teachers.md)। ਜੇ ਤੁਸੀਂ ਆਪਣੇ ਪਾਠ ਬਣਾਉਣਾ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਅਸੀਂ ਇੱਕ [ਪਾਠ ਟੈਂਪਲੇਟ](lesson-template/README.md) ਵੀ ਸ਼ਾਮਲ ਕੀਤਾ ਹੈ।  
+ਟੀਮ ਨਾਲ ਮਿਲੋ!
 
-> **[ਵਿਦਿਆਰਥੀ](https://aka.ms/student-page)**, ਇਸ ਪਾਠਕ੍ਰਮ ਨੂੰ ਆਪਣੇ ਆਪ ਵਰਤਣ ਲਈ, ਪੂਰੇ ਰੇਪੋ ਨੂੰ ਫੋਰਕ ਕਰੋ ਅਤੇ ਆਪਣੇ ਆਪ ਅਭਿਆਸ ਪੂਰੇ ਕਰੋ, ਪਾਠ ਤੋਂ ਪਹਿਲਾਂ ਕਵਿਜ਼ ਨਾਲ ਸ਼ੁਰੂ ਕਰਦੇ ਹੋਏ, ਫਿਰ ਪਾਠ ਪੜ੍ਹਦੇ ਹੋਏ ਅਤੇ ਬਾਕੀ ਗਤੀਵਿਧੀਆਂ ਪੂਰੀਆਂ ਕਰਦੇ ਹੋਏ। ਪਾਠਾਂ ਨੂੰ ਸਮਝ ਕੇ ਪ੍ਰੋਜੈਕਟ ਬਣਾਉਣ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰੋ ਨਾ ਕਿ ਹੱਲ ਕੋਡ ਨੂੰ ਕਾਪੀ ਕਰਨ ਦੀ; ਹਾਲਾਂਕਿ ਉਹ ਕੋਡ ਹਰ ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਪਾਠ ਵਿੱਚ /solutions ਫੋਲਡਰ ਵਿੱਚ ਉਪਲਬਧ ਹੈ। ਇੱਕ ਹੋਰ ਵਿਚਾਰ ਇਹ ਹੋਵੇਗਾ ਕਿ ਦੋਸਤਾਂ ਨਾਲ ਇੱਕ ਅਧਿਐਨ ਸਮੂਹ ਬਣਾਓ ਅਤੇ ਸਮੱਗਰੀ ਨੂੰ ਇਕੱਠੇ ਪੜ੍ਹੋ। ਹੋਰ ਅਧਿਐਨ ਲਈ, ਅਸੀਂ [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) ਦੀ ਸਿਫਾਰਸ਼ ਕਰਦੇ ਹਾਂ।  
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
-ਇਸ ਕੋਰਸ ਦੀ ਵੀਡੀਓ ਝਲਕ ਲਈ, ਇਹ ਵੀਡੀਓ ਦੇਖੋ:  
+**Gif by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
 
-[![ਪ੍ਰੋਮੋ ਵੀਡੀਓ](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "ਪ੍ਰੋਮੋ ਵੀਡੀਓ")  
+> 🎥 ਉਪਰੋਕਤ ਚਿੱਤਰ 'ਤੇ ਕਲਿੱਕ ਕਰੋ ਪ੍ਰੋਜੈਕਟ ਬਾਰੇ ਇੱਕ ਵੀਡੀਓ ਲਈ!
 
-> 🎥 ਉਪਰੋਕਤ ਚਿੱਤਰ 'ਤੇ ਕਲਿਕ ਕਰੋ ਪ੍ਰੋਜੈਕਟ ਬਾਰੇ ਇੱਕ ਵੀਡੀਓ ਲਈ!  
+> **ਅਧਿਆਪਕ**, ਅਸੀਂ ਇਸ ਪਾਠਕ੍ਰਮ ਨੂੰ ਵਰਤਣ ਬਾਰੇ ਕੁਝ ਸੁਝਾਅ [ਸ਼ਾਮਲ ਕੀਤੇ ਹਨ](for-teachers.md)। ਜੇ ਤੁਸੀਂ ਆਪਣੇ ਪਾਠ ਬਣਾਉਣਾ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਅਸੀਂ ਇੱਕ [ਪਾਠ ਟੈਂਪਲੇਟ](lesson-template/README.md) ਵੀ ਸ਼ਾਮਲ ਕੀਤਾ ਹੈ।
 
-## ਪੈਡਾਗੌਜੀ  
+> **[ਵਿਦਿਆਰਥੀ](https://aka.ms/student-page)**, ਇਸ ਪਾਠਕ੍ਰਮ ਨੂੰ ਆਪਣੇ ਆਪ ਵਰਤਣ ਲਈ, ਪੂਰੇ ਰੇਪੋ ਨੂੰ ਫੋਰਕ ਕਰੋ ਅਤੇ ਆਪਣੇ ਆਪ ਅਭਿਆਸ ਪੂਰੇ ਕਰੋ, ਪਾਠ ਤੋਂ ਪਹਿਲਾਂ ਕਵਿਜ਼ ਨਾਲ ਸ਼ੁਰੂ ਕਰਦੇ ਹੋਏ, ਫਿਰ ਪਾਠ ਪੜ੍ਹੋ ਅਤੇ ਬਾਕੀ ਗਤੀਵਿਧੀਆਂ ਪੂਰੀਆਂ ਕਰੋ। ਪਾਠਾਂ ਨੂੰ ਸਮਝ ਕੇ ਪ੍ਰੋਜੈਕਟ ਬਣਾਉਣ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰੋ ਨਾ ਕਿ ਹੱਲ ਕੋਡ ਨੂੰ ਕਾਪੀ ਕਰੋ; ਹਾਲਾਂਕਿ ਉਹ ਕੋਡ ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਪਾਠਾਂ ਵਿੱਚ /solutions ਫੋਲਡਰਾਂ ਵਿੱਚ ਉਪਲਬਧ ਹੈ। ਇੱਕ ਹੋਰ ਵਿਚਾਰ ਇਹ ਹੋਵੇਗਾ ਕਿ ਦੋਸਤਾਂ ਨਾਲ ਇੱਕ ਅਧਿਐਨ ਸਮੂਹ ਬਣਾਓ ਅਤੇ ਸਮੱਗਰੀ ਨੂੰ ਇਕੱਠੇ ਪੜ੍ਹੋ। ਹੋਰ ਅਧਿਐਨ ਲਈ, ਅਸੀਂ [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) ਦੀ ਸਿਫਾਰਸ਼ ਕਰਦੇ ਹਾਂ।
 
-ਅਸੀਂ ਇਸ ਪਾਠਕ੍ਰਮ ਨੂੰ ਬਣਾਉਣ ਦੌਰਾਨ ਦੋ ਪੈਡਾਗੌਜੀਕਲ ਸਿਧਾਂਤਾਂ ਦੀ ਚੋਣ ਕੀਤੀ ਹੈ: ਇਹ ਯਕੀਨੀ ਬਣਾਉਣਾ ਕਿ ਇਹ ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਹੈ ਅਤੇ ਇਹ ਵਿੱਚ ਵਾਰੰ-ਵਾਰ ਕਵਿਜ਼ ਸ਼ਾਮਲ ਹਨ। ਇਸ ਸਿਰੀਜ਼ ਦੇ ਅੰਤ ਤੱਕ, ਵਿਦਿਆਰਥੀ ਇੱਕ ਪੌਦੇ ਦੀ ਨਿਗਰਾਨੀ ਅਤੇ ਪਾਣੀ ਦੇਣ ਦੀ ਪ੍ਰਣਾਲੀ, ਇੱਕ ਵਾਹਨ ਟ੍ਰੈਕਰ, ਇੱਕ ਸਮਾਰਟ ਫੈਕਟਰੀ ਸੈਟਅਪ ਜੋ ਭੋਜਨ ਨੂੰ ਟ੍ਰੈਕ ਅਤੇ ਚੈੱਕ ਕਰਦਾ ਹੈ, ਅਤੇ ਇੱਕ ਵਾਇਸ-ਕੰਟਰੋਲਡ ਕੂਕਿੰਗ ਟਾਈਮਰ ਬਣਾਉਣਗੇ, ਅਤੇ Internet of Things ਦੇ ਬੁਨਿਆਦੀਆਂ ਬਾਰੇ ਸਿੱਖਣਗੇ ਜਿਸ ਵਿੱਚ ਡਿਵਾਈਸ ਕੋਡ ਲਿਖਣਾ, ਕਲਾਉਡ ਨਾਲ ਜੁੜਨਾ, ਟੈਲੀਮੇਟਰੀ ਦਾ ਵਿਸ਼ਲੇਸ਼ਣ ਕਰਨਾ ਅਤੇ ਐਜ 'ਤੇ AI ਚਲਾਉਣਾ ਸ਼ਾਮਲ ਹੈ।  
+ਇਸ ਕੋਰਸ ਦੀ ਵੀਡੀਓ ਝਲਕ ਲਈ, ਇਹ ਵੀਡੀਓ ਦੇਖੋ:
 
-ਸਮੱਗਰੀ ਨੂੰ ਪ੍ਰੋਜੈਕਟਾਂ ਨਾਲ ਅਨੁਕੂਲ ਬਣਾਉਣ ਨਾਲ, ਵਿਦਿਆਰਥੀਆਂ ਲਈ ਪ੍ਰਕਿਰਿਆ ਨੂੰ ਹੋਰ ਰੁਚਿਕਰ ਬਣਾਇਆ ਜਾਂਦਾ ਹੈ ਅਤੇ ਧਾਰਨਾਵਾਂ ਦੀ ਰਿਟੇਨਸ਼ਨ ਵਧਾਈ ਜਾਂਦੀ ਹੈ।  
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
 
-ਇਸ ਤੋਂ ਇਲਾਵਾ, ਕਲਾਸ ਤੋਂ ਪਹਿਲਾਂ ਇੱਕ ਘੱਟ-ਦਬਾਅ ਵਾਲਾ ਕਵਿਜ਼ ਵਿਦਿਆਰਥੀ ਨੂੰ ਇੱਕ ਵਿਸ਼ੇ ਨੂੰ ਸਿੱਖਣ ਵੱਲ ਧਿਆਨ ਕੇਂਦਰਿਤ ਕਰਨ ਲਈ ਸੈਟ ਕਰਦਾ ਹੈ, ਜਦਕਿ ਕਲਾਸ ਤੋਂ ਬਾਅਦ ਦੂਜਾ ਕਵਿਜ਼ ਹੋਰ ਰਿਟੇਨਸ਼ਨ ਯਕੀਨੀ ਬਣਾਉਂਦਾ ਹੈ। ਇਹ ਪਾਠਕ੍ਰਮ ਲਚਕੀਲਾ ਅਤੇ ਮਜ਼ੇਦਾਰ ਬਣਾਇਆ ਗਿਆ ਸੀ ਅਤੇ ਪੂਰੇ ਜਾਂ ਅੰਸ਼ਿਕ ਤੌਰ 'ਤੇ ਲਿਆ ਜਾ ਸਕਦਾ ਹੈ। ਪ੍ਰੋਜੈਕਟ ਛੋਟੇ ਤੋਂ ਸ਼ੁਰੂ ਹੁੰਦੇ ਹਨ ਅਤੇ 12 ਹਫ਼ਤਿਆਂ ਦੇ ਚੱਕਰ ਦੇ ਅੰਤ ਤੱਕ ਵਧਦੇ ਹੀ ਜਟਿਲ ਹੋ ਜਾਂਦੇ ਹਨ।  
+> 🎥 ਉਪਰੋਕਤ ਚਿੱਤਰ 'ਤੇ ਕਲਿੱਕ ਕਰੋ ਪ੍ਰੋਜੈਕਟ ਬਾਰੇ ਇੱਕ ਵੀਡੀਓ ਲਈ!
 
-ਹਰ ਪ੍ਰੋਜੈਕਟ ਵਿਦਿਆਰਥੀਆਂ ਅਤੇ ਸ਼ੌਕੀਨ ਲੋਕਾਂ ਲਈ ਉਪਲਬਧ ਹਕੀਕਤੀ ਹਾਰਡਵੇਅਰ ਦੇ ਆਧਾਰ 'ਤੇ ਹੈ। ਹਰ ਪ੍ਰੋਜੈਕਟ ਵਿਸ਼ੇਸ਼ ਪ੍ਰੋਜੈਕਟ ਡੋਮੇਨ ਵਿੱਚ ਦਾਖਲ ਹੁੰਦਾ ਹੈ, ਸਬੰਧਤ ਪਿਛੋਕੜ ਗਿਆਨ ਪ੍ਰਦਾਨ ਕਰਦਾ ਹੈ। ਇੱਕ ਸਫਲ ਡਿਵੈਲਪਰ ਬਣਨ ਲਈ ਇਹ ਮਦਦ ਕਰਦਾ ਹੈ ਕਿ ਤੁਸੀਂ ਉਸ ਖੇਤਰ ਨੂੰ ਸਮਝੋ ਜਿਸ ਵਿੱਚ ਤੁਸੀਂ ਸਮੱਸਿਆਵਾਂ ਦਾ ਹੱਲ ਕਰ ਰਹੇ ਹੋ, ਇਹ ਪਿਛੋਕੜ ਗਿਆਨ ਵਿਦਿਆਰਥੀਆਂ ਨੂੰ ਆਪਣੇ IoT ਹੱਲਾਂ ਅਤੇ ਸਿੱਖਣ ਨੂੰ ਉਸ ਕਿਸਮ ਦੀ ਹਕੀਕਤੀ ਸਮੱਸਿਆ ਦੇ ਸੰਦਰਭ ਵਿੱਚ ਸੋਚਣ ਦੀ ਆਗਿਆ ਦਿੰਦਾ ਹੈ ਜਿਸ ਨੂੰ IoT ਡਿਵੈਲਪਰ ਵਜੋਂ ਹੱਲ ਕਰਨ ਲਈ ਕਿਹਾ ਜਾ ਸਕਦਾ ਹੈ। ਵਿਦਿਆਰਥੀ ਉਹ ਹੱਲ ਜੋ ਉਹ ਬਣਾਉਣਗੇ ਉਸਦਾ 'ਕਿਉਂ' ਸਿੱਖਦੇ ਹਨ, ਅਤੇ ਅੰਤਮ ਉਪਭੋਗਤਾ ਦੀ ਪ੍ਰਸ਼ੰਸਾ ਪ੍ਰਾਪਤ ਕਰਦੇ ਹਨ।  
+## ਪੈਡਾਗੌਜੀ
 
-## ਹਾਰਡਵੇਅਰ  
+ਅਸੀਂ ਇਸ ਪਾਠਕ੍ਰਮ ਨੂੰ ਬਣਾਉਣ ਦੌਰਾਨ ਦੋ ਪੈਡਾਗੌਜੀਕਲ ਸਿਧਾਂਤਾਂ ਨੂੰ ਚੁਣਿਆ ਹੈ: ਇਹ ਯਕੀਨੀ ਬਣਾਉਣਾ ਕਿ ਇਹ ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਹੈ ਅਤੇ ਇਹ ਵਾਰੰ-ਵਾਰ ਕਵਿਜ਼ ਸ਼ਾਮਲ ਕਰਦਾ ਹੈ। ਇਸ ਸਿਰੀਜ਼ ਦੇ ਅੰਤ ਤੱਕ, ਵਿਦਿਆਰਥੀ ਇੱਕ ਪੌਦੇ ਦੀ ਨਿਗਰਾਨੀ ਅਤੇ ਪਾਣੀ ਦੇਣ ਦੀ ਪ੍ਰਣਾਲੀ, ਇੱਕ ਵਾਹਨ ਟ੍ਰੈਕਰ, ਇੱਕ ਸਮਾਰਟ ਫੈਕਟਰੀ ਸੈਟਅਪ ਜੋ ਖਾਣੇ ਨੂੰ ਟ੍ਰੈਕ ਅਤੇ ਚੈੱਕ ਕਰਦਾ ਹੈ, ਅਤੇ ਇੱਕ ਵਾਇਸ-ਕੰਟਰੋਲਡ ਕੂਕਿੰਗ ਟਾਈਮਰ ਬਣਾਉਣਗੇ, ਅਤੇ Internet of Things ਦੀਆਂ ਬੁਨਿਆਦੀਆਂ ਸਿੱਖਣਗੇ ਜਿਸ ਵਿੱਚ ਡਿਵਾਈਸ ਕੋਡ ਲਿਖਣਾ, ਕਲਾਉਡ ਨਾਲ ਜੁੜਨਾ, ਟੈਲੀਮੇਟਰੀ ਦਾ ਵਿਸ਼ਲੇਸ਼ਣ ਕਰਨਾ ਅਤੇ ਐਜ 'ਤੇ AI ਚਲਾਉਣਾ ਸ਼ਾਮਲ ਹੈ।
 
-ਸਾਡੇ ਕੋਲ ਪ੍ਰੋਜੈਕਟਾਂ ਲਈ ਵਰਤਣ ਲਈ IoT ਹਾਰਡਵੇਅਰ ਦੇ ਦੋ ਚੋਣ ਹਨ ਜੋ ਨਿੱਜੀ ਪਸੰਦ, ਪ੍ਰੋਗਰਾਮਿੰਗ ਭਾਸ਼ਾ ਦੇ ਗਿਆਨ ਜਾਂ ਪਸੰਦਾਂ, ਸਿੱਖਣ ਦੇ ਲਕਸ਼ਾਂ ਅਤੇ ਉਪਲਬਧਤਾ 'ਤੇ ਨਿਰਭਰ ਕਰਦੇ ਹਨ। ਅਸੀਂ ਉਹਨਾਂ ਲਈ 'ਵਰਚੁਅਲ ਹਾਰਡਵੇਅਰ' ਵਰਜਨ ਵੀ ਪ੍ਰਦਾਨ ਕੀਤਾ ਹੈ ਜਿਨ੍ਹਾਂ ਕੋਲ ਹਾਰਡਵੇਅਰ ਤੱਕ ਪਹੁੰਚ ਨਹੀਂ ਹੈ, ਜਾਂ ਖਰੀਦਣ ਤੋਂ ਪਹਿਲਾਂ ਹੋਰ ਸਿੱਖਣਾ ਚਾਹੁੰਦੇ ਹਨ। ਤੁਸੀਂ [ਹਾਰਡਵੇਅਰ ਪੇਜ](./hardware.md) 'ਤੇ ਹੋਰ ਪੜ੍ਹ ਸਕਦੇ ਹੋ ਅਤੇ ਸਾਡੇ ਦੋਸਤਾਂ Seeed Studio ਤੋਂ ਪੂਰੇ ਕਿੱਟ ਖਰੀਦਣ ਲਈ ਲਿੰਕ ਲੱਭ ਸਕਦੇ ਹੋ।  
+ਸਮੱਗਰੀ ਨੂੰ ਪ੍ਰੋਜੈਕਟਾਂ ਨਾਲ ਅਨੁਕੂਲ ਬਣਾਉਣ ਨਾਲ, ਵਿਦਿਆਰਥੀਆਂ ਲਈ ਪ੍ਰਕਿਰਿਆ ਨੂੰ ਹੋਰ ਰੁਚਿਕਰ ਬਣਾਇਆ ਜਾਂਦਾ ਹੈ ਅਤੇ ਧਾਰਨਾਵਾਂ ਦੀ ਰਿਟੇਨਸ਼ਨ ਵਧੇਗੀ।
 
-> 💁 ਸਾਡਾ [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), ਅਤੇ [Translation](TRANSLATIONS.md) ਦਿਸ਼ਾ-ਨਿਰਦੇਸ਼ ਲੱਭੋ। ਅਸੀਂ ਤੁਹਾਡੇ ਰਚਨਾਤਮਕ ਫੀਡਬੈਕ ਦਾ ਸਵਾਗਤ ਕਰਦੇ ਹਾਂ!  
+ਇਸ ਤੋਂ ਇਲਾਵਾ, ਕਲਾਸ ਤੋਂ ਪਹਿਲਾਂ ਇੱਕ ਘੱਟ-ਦਬਾਅ ਵਾਲਾ ਕਵਿਜ਼ ਵਿਦਿਆਰਥੀ ਦੇ ਧਿਆਨ ਨੂੰ ਇੱਕ ਵਿਸ਼ੇ ਨੂੰ ਸਿੱਖਣ ਵੱਲ ਲਗਾਉਂਦਾ ਹੈ, ਜਦੋਂ ਕਿ ਕਲਾਸ ਤੋਂ ਬਾਅਦ ਦੂਜਾ ਕਵਿਜ਼ ਹੋਰ ਰਿਟੇਨਸ਼ਨ ਯਕੀਨੀ ਬਣਾਉਂਦਾ ਹੈ। ਇਹ ਪਾਠਕ੍ਰਮ ਲਚਕੀਲਾ ਅਤੇ ਮਜ਼ੇਦਾਰ ਬਣਾਇਆ ਗਿਆ ਸੀ ਅਤੇ ਇਸਨੂੰ ਪੂਰੇ ਜਾਂ ਅੰਸ਼ਿਕ ਤੌਰ 'ਤੇ ਲਿਆ ਜਾ ਸਕਦਾ ਹੈ। ਪ੍ਰੋਜੈਕਟ ਛੋਟੇ ਤੋਂ ਸ਼ੁਰੂ ਹੁੰਦੇ ਹਨ ਅਤੇ 12 ਹਫ਼ਤਿਆਂ ਦੇ ਚੱਕਰ ਦੇ ਅੰਤ ਤੱਕ ਵਧਦੇ ਹਨ।
 
-## ਹਰ ਪਾਠ ਵਿੱਚ ਸ਼ਾਮਲ ਹੈ:  
+ਹਰ ਪ੍ਰੋਜੈਕਟ ਵਿਦਿਆਰਥੀਆਂ ਅਤੇ ਸ਼ੌਕੀਨ ਲੋਕਾਂ ਲਈ ਉਪਲਬਧ ਹਕੀਕਤੀ ਹਾਰਡਵੇਅਰ ਦੇ ਆਧਾਰ 'ਤੇ ਹੈ। ਹਰ ਪ੍ਰੋਜੈਕਟ ਵਿਸ਼ੇਸ਼ ਪ੍ਰੋਜੈਕਟ ਡੋਮੇਨ ਵਿੱਚ ਦਾਖਲ ਹੁੰਦਾ ਹੈ, ਸਬੰਧਤ ਪਿਛੋਕੜ ਗਿਆਨ ਪ੍ਰਦਾਨ ਕਰਦਾ ਹੈ। ਇੱਕ ਸਫਲ ਡਿਵੈਲਪਰ ਬਣਨ ਲਈ ਇਹ ਸਮਝਣਾ ਮਦਦਗਾਰ ਹੁੰਦਾ ਹੈ ਕਿ ਤੁਸੀਂ ਜਿਸ ਡੋਮੇਨ ਵਿੱਚ ਸਮੱਸਿਆਵਾਂ ਦਾ ਹੱਲ ਕਰ ਰਹੇ ਹੋ, ਉਹ ਪਿਛੋਕੜ ਗਿਆਨ ਪ੍ਰਦਾਨ ਕਰਦਾ ਹੈ ਜੋ ਵਿਦਿਆਰਥੀਆਂ ਨੂੰ ਆਪਣੇ IoT ਹੱਲਾਂ ਅਤੇ ਸਿੱਖਣ ਨੂੰ ਉਸ ਤਰ੍ਹਾਂ ਦੇ ਹਕੀਕਤੀ ਸਮੱਸਿਆ ਦੇ ਸੰਦਰਭ ਵਿੱਚ ਸੋਚਣ ਦੀ ਆਗਿਆ ਦਿੰਦਾ ਹੈ ਜੋ ਉਹ IoT ਡਿਵੈਲਪਰ ਵਜੋਂ ਹੱਲ ਕਰਨ ਲਈ ਕਿਹਾ ਜਾ ਸਕਦਾ ਹੈ। ਵਿਦਿਆਰਥੀ ਉਹ ਹੱਲ ਜੋ ਉਹ ਬਣਾਉਣਗੇ, ਅਤੇ ਅੰਤਮ ਉਪਭੋਗਤਾ ਦੀ ਕਦਰ ਪ੍ਰਾਪਤ ਕਰਦੇ ਹਨ।
 
-- ਸਕੈਚਨੋਟ  
-- ਵਿਕਲਪਿਕ ਸਹਾਇਕ ਵੀਡੀਓ  
-- ਪਾਠ ਤੋਂ ਪਹਿਲਾਂ ਵਾਰਮਅਪ ਕਵਿਜ਼  
-- ਲਿਖਤ ਪਾਠ  
-- ਪ੍ਰੋਜੈਕਟ-ਅਧਾਰਤ ਪਾਠਾਂ ਲਈ, ਪ੍ਰੋਜੈਕਟ ਬਣਾਉਣ ਲਈ ਕਦਮ-ਦਰ-ਕਦਮ ਗਾਈਡ  
-- ਗਿਆਨ ਜਾਂਚ  
-- ਇੱਕ ਚੁਣੌਤੀ  
-- ਸਹਾਇਕ ਪੜ੍ਹਾਈ  
-- ਅਸਾਈਨਮੈਂਟ  
-- [ਪਾਠ ਤੋਂ ਬਾਅਦ ਕਵਿਜ਼](https://ff-quizzes.netlify.app/en/)  
+## ਹਾਰਡਵੇਅਰ
 
-> **ਕਵਿਜ਼ਾਂ ਬਾਰੇ ਇੱਕ ਨੋਟ**: ਸਾਰੇ ਕਵਿਜ਼ quiz-app ਫੋਲਡਰ
-|  01   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) |                     IoT ਦਾ ਪਰਚੇਅ                     | IoT ਦੇ ਮੁੱਢਲੇ ਸਿਧਾਂਤਾਂ ਅਤੇ IoT ਹੱਲਾਂ ਦੇ ਮੁੱਖ ਹਿੱਸਿਆਂ ਬਾਰੇ ਸਿੱਖੋ ਜਿਵੇਂ ਕਿ ਸੈਂਸਰ ਅਤੇ ਕਲਾਉਡ ਸੇਵਾਵਾਂ, ਜਦੋਂ ਤੁਸੀਂ ਆਪਣਾ ਪਹਿਲਾ IoT ਡਿਵਾਈਸ ਸੈਟ ਕਰ ਰਹੇ ਹੋ |                      [IoT ਦਾ ਪਰਚੇਅ](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) |                   IoT ਵਿੱਚ ਡੂੰਘੀ ਜਾਣਕਾਰੀ                    | IoT ਸਿਸਟਮ ਦੇ ਹਿੱਸਿਆਂ, ਮਾਈਕਰੋਕੰਟਰੋਲਰ ਅਤੇ ਸਿੰਗਲ-ਬੋਰਡ ਕੰਪਿਊਟਰਾਂ ਬਾਰੇ ਹੋਰ ਜਾਣਕਾਰੀ ਪ੍ਰਾਪਤ ਕਰੋ                                                            |                        [IoT ਵਿੱਚ ਡੂੰਘੀ ਜਾਣਕਾਰੀ](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) | ਸੈਂਸਰ ਅਤੇ ਐਕਚੁਏਟਰਾਂ ਨਾਲ ਭੌਤਿਕ ਦੁਨੀਆ ਨਾਲ ਸੰਚਾਰ ਕਰੋ | ਭੌਤਿਕ ਦੁਨੀਆ ਤੋਂ ਡਾਟਾ ਇਕੱਠਾ ਕਰਨ ਲਈ ਸੈਂਸਰਾਂ ਅਤੇ ਫੀਡਬੈਕ ਭੇਜਣ ਲਈ ਐਕਚੁਏਟਰਾਂ ਬਾਰੇ ਸਿੱਖੋ, ਜਦੋਂ ਤੁਸੀਂ ਇੱਕ ਨਾਈਟਲਾਈਟ ਬਣਾਉਂਦੇ ਹੋ                                           | [ਸੈਂਸਰ ਅਤੇ ਐਕਚੁਏਟਰਾਂ ਨਾਲ ਭੌਤਿਕ ਦੁਨੀਆ ਨਾਲ ਸੰਚਾਰ ਕਰੋ](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) |             ਆਪਣਾ ਡਿਵਾਈਸ ਇੰਟਰਨੈਟ ਨਾਲ ਜੋੜੋ             | IoT ਡਿਵਾਈਸ ਨੂੰ ਇੰਟਰਨੈਟ ਨਾਲ ਜੋੜਨ ਬਾਰੇ ਸਿੱਖੋ ਤਾਂ ਜੋ ਸੁਨੇਹੇ ਭੇਜੇ ਅਤੇ ਪ੍ਰਾਪਤ ਕੀਤੇ ਜਾ ਸਕਣ, ਆਪਣੀ ਨਾਈਟਲਾਈਟ ਨੂੰ MQTT ਬ੍ਰੋਕਰ ਨਾਲ ਜੋੜ ਕੇ                               |               [ਆਪਣਾ ਡਿਵਾਈਸ ਇੰਟਰਨੈਟ ਨਾਲ ਜੋੜੋ](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [ਖੇਤੀਬਾੜੀ](./2-farm/README.md)            |                    ਪੌਦੇ ਦੀ ਵਾਧੇ ਦੀ ਪੇਸ਼ਗੋਈ ਕਰੋ                     | IoT ਡਿਵਾਈਸ ਦੁਆਰਾ ਕੈਪਚਰ ਕੀਤੇ ਤਾਪਮਾਨ ਡਾਟਾ ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਪੌਦੇ ਦੀ ਵਾਧੇ ਦੀ ਪੇਸ਼ਗੋਈ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                  |                          [ਪੌਦੇ ਦੀ ਵਾਧੇ ਦੀ ਪੇਸ਼ਗੋਈ ਕਰੋ](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [ਖੇਤੀਬਾੜੀ](./2-farm/README.md)            |                    ਮਿੱਟੀ ਦੀ ਨਮੀ ਦਾ ਪਤਾ ਲਗਾਓ                     | ਮਿੱਟੀ ਦੀ ਨਮੀ ਦਾ ਪਤਾ ਲਗਾਉਣ ਅਤੇ ਮਿੱਟੀ ਦੀ ਨਮੀ ਸੈਂਸਰ ਨੂੰ ਕੈਲੀਬਰੇਟ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                              |                          [ਮਿੱਟੀ ਦੀ ਨਮੀ ਦਾ ਪਤਾ ਲਗਾਓ](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [ਖੇਤੀਬਾੜੀ](./2-farm/README.md)            |                  ਪੌਦੇ ਨੂੰ ਪਾਣੀ ਦੇਣ ਦੀ ਆਟੋਮੈਟਿਕ ਪ੍ਰਣਾਲੀ                   | ਰੀਲੇ ਅਤੇ MQTT ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਪਾਣੀ ਦੇਣ ਦੀ ਆਟੋਮੈਟਿਕ ਪ੍ਰਣਾਲੀ ਅਤੇ ਸਮਾਂ ਸੈਟ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                                      |                      [ਪੌਦੇ ਨੂੰ ਪਾਣੀ ਦੇਣ ਦੀ ਆਟੋਮੈਟਿਕ ਪ੍ਰਣਾਲੀ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [ਖੇਤੀਬਾੜੀ](./2-farm/README.md)            |               ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ               | ਕਲਾਉਡ ਅਤੇ ਕਲਾਉਡ-ਹੋਸਟ ਕੀਤੀਆਂ IoT ਸੇਵਾਵਾਂ ਬਾਰੇ ਸਿੱਖੋ ਅਤੇ ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਇੱਕ ਜਨਤਕ MQTT ਬ੍ਰੋਕਰ ਦੀ ਬਜਾਏ ਇਨ੍ਹਾਂ ਵਿੱਚੋਂ ਇੱਕ ਨਾਲ ਕਿਵੇਂ ਜੋੜਨਾ ਹੈ                                   |               [ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [ਖੇਤੀਬਾੜੀ](./2-farm/README.md)            |         ਆਪਣੀ ਐਪਲੀਕੇਸ਼ਨ ਲਾਜਿਕ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ         | ਇਸ ਬਾਰੇ ਸਿੱਖੋ ਕਿ ਤੁਸੀਂ IoT ਸੁਨੇਹਿਆਂ ਦਾ ਜਵਾਬ ਦੇਣ ਵਾਲੀ ਕਲਾਉਡ ਵਿੱਚ ਐਪਲੀਕੇਸ਼ਨ ਲਾਜਿਕ ਕਿਵੇਂ ਲਿਖ ਸਕਦੇ ਹੋ                                                                          |         [ਆਪਣੀ ਐਪਲੀਕੇਸ਼ਨ ਲਾਜਿਕ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [ਖੇਤੀਬਾੜੀ](./2-farm/README.md)            |                   ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਸੁਰੱਖਿਅਤ ਰੱਖੋ                    | IoT ਨਾਲ ਸੁਰੱਖਿਆ ਬਾਰੇ ਸਿੱਖੋ ਅਤੇ ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਕੁੰਜੀਆਂ ਅਤੇ ਸਰਟੀਫਿਕੇਟਾਂ ਨਾਲ ਸੁਰੱਖਿਅਤ ਕਿਵੇਂ ਰੱਖਣਾ                                                                          |                        [ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਸੁਰੱਖਿਅਤ ਰੱਖੋ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+ਪ੍ਰੋਜੈਕਟਾਂ ਲਈ IoT ਹਾਰਡਵੇਅਰ ਦੀਆਂ ਦੋ ਚੋਣਾਂ ਹਨ ਜੋ ਨਿੱਜੀ ਪਸੰਦ, ਪ੍ਰੋਗਰਾਮਿੰਗ ਭਾਸ਼ਾ ਦੇ ਗਿਆਨ ਜਾਂ ਪਸੰਦਾਂ, ਸਿੱਖਣ ਦੇ ਲਕਸ਼ਾਂ ਅਤੇ ਉਪਲਬਧਤਾ 'ਤੇ ਨਿਰਭਰ ਕਰਦੀਆਂ ਹਨ। ਅਸੀਂ ਉਹਨਾਂ ਲਈ 'ਵਰਚੁਅਲ ਹਾਰਡਵੇਅਰ' ਵਰਜਨ ਵੀ ਪ੍ਰਦਾਨ ਕੀਤਾ ਹੈ ਜਿਨ੍ਹਾਂ ਕੋਲ ਹਾਰਡਵੇਅਰ ਤੱਕ ਪਹੁੰਚ ਨਹੀਂ ਹੈ, ਜਾਂ ਖਰੀਦਣ ਤੋਂ ਪਹਿਲਾਂ ਹੋਰ ਸਿੱਖਣਾ ਚਾਹੁੰਦੇ ਹਨ। ਤੁਸੀਂ [ਹਾਰਡਵੇਅਰ ਪੇਜ](./hardware.md) 'ਤੇ ਹੋਰ ਪੜ੍ਹ ਸਕਦੇ ਹੋ ਅਤੇ 'ਸ਼ਾਪਿੰਗ ਲਿਸਟ' ਪ੍ਰਾਪਤ ਕਰ ਸਕਦੇ ਹੋ, ਜਿਸ ਵਿੱਚ ਸਾਡੇ ਦੋਸਤ Seeed Studio ਤੋਂ ਪੂਰੇ ਕਿੱਟ ਖਰੀਦਣ ਲਈ ਲਿੰਕ ਸ਼ਾਮਲ ਹਨ।
+
+> 💁 ਸਾਡਾ [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), ਅਤੇ [Translation](TRANSLATIONS.md) ਦਿਸ਼ਾ-ਨਿਰਦੇਸ਼ ਲੱਭੋ। ਅਸੀਂ ਤੁਹਾਡੇ ਰਚਨਾਤਮਕ ਫੀਡਬੈਕ ਦਾ ਸਵਾਗਤ ਕਰਦੇ ਹਾਂ!
+
+## ਹਰ ਪਾਠ ਵਿੱਚ ਸ਼ਾਮਲ ਹੈ:
+
+- ਸਕੈਚਨੋਟ
+- ਵਿਕਲਪਿਕ ਸਹਾਇਕ ਵੀਡੀਓ
+- ਪਾਠ ਤੋਂ ਪਹਿਲਾਂ ਵ
+> **ਕੁਇਜ਼ ਬਾਰੇ ਇੱਕ ਨੋਟ**: ਸਾਰੇ ਕੁਇਜ਼ quiz-app ਫੋਲਡਰ ਵਿੱਚ ਸ਼ਾਮਲ ਹਨ, ਕੁੱਲ 48 ਕੁਇਜ਼ ਹਨ, ਹਰ ਇੱਕ ਵਿੱਚ ਤਿੰਨ ਪ੍ਰਸ਼ਨ ਹਨ। ਇਹ ਪਾਠਾਂ ਵਿੱਚੋਂ ਲਿੰਕ ਕੀਤੇ ਗਏ ਹਨ ਪਰ quiz app ਨੂੰ ਸਥਾਨਕ ਤੌਰ 'ਤੇ ਚਲਾਇਆ ਜਾ ਸਕਦਾ ਹੈ ਜਾਂ Azure 'ਤੇ ਡਿਪਲੌਇ ਕੀਤਾ ਜਾ ਸਕਦਾ ਹੈ; `quiz-app` ਫੋਲਡਰ ਵਿੱਚ ਦਿੱਤੇ ਨਿਰਦੇਸ਼ਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ। ਇਹ ਹੌਲੀ-ਹੌਲੀ ਸਥਾਨਕ ਭਾਸ਼ਾਵਾਂ ਵਿੱਚ ਤਰਜਮਾ ਕੀਤੇ ਜਾ ਰਹੇ ਹਨ।
+
+## ਪਾਠ
+
+|       |              ਪ੍ਰੋਜੈਕਟ ਦਾ ਨਾਮ              |                       ਸਿੱਖਣ ਵਾਲੇ ਸੰਕਲਪ                       | ਸਿੱਖਣ ਦੇ ਉਦੇਸ਼                                                                                                                                                 |                                                        ਲਿੰਕ ਕੀਤਾ ਪਾਠ                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) |                     IoT ਦਾ ਪਰਚੇਅ                     | IoT ਦੇ ਮੁੱਢਲੇ ਸਿਧਾਂਤਾਂ ਅਤੇ IoT ਹੱਲਾਂ ਦੇ ਮੁੱਢਲੇ ਹਿੱਸਿਆਂ ਜਿਵੇਂ ਕਿ ਸੈਂਸਰ ਅਤੇ ਕਲਾਉਡ ਸੇਵਾਵਾਂ ਬਾਰੇ ਸਿੱਖੋ ਜਦੋਂ ਤੁਸੀਂ ਆਪਣਾ ਪਹਿਲਾ IoT ਡਿਵਾਈਸ ਸੈਟ ਕਰ ਰਹੇ ਹੋ |                      [IoT ਦਾ ਪਰਚੇਅ](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) |                   IoT ਵਿੱਚ ਡੂੰਘੀ ਝਾਤ                    | IoT ਸਿਸਟਮ ਦੇ ਹਿੱਸਿਆਂ, ਮਾਈਕਰੋਕੰਟਰੋਲਰ ਅਤੇ ਸਿੰਗਲ-ਬੋਰਡ ਕੰਪਿਊਟਰਾਂ ਬਾਰੇ ਹੋਰ ਜਾਣਕਾਰੀ ਪ੍ਰਾਪਤ ਕਰੋ                                                            |                        [IoT ਵਿੱਚ ਡੂੰਘੀ ਝਾਤ](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) | ਸੈਂਸਰ ਅਤੇ ਐਕਚੁਏਟਰਾਂ ਨਾਲ ਭੌਤਿਕ ਜਗਤ ਨਾਲ ਸੰਚਾਰ ਕਰੋ | ਭੌਤਿਕ ਜਗਤ ਤੋਂ ਡਾਟਾ ਇਕੱਠਾ ਕਰਨ ਲਈ ਸੈਂਸਰਾਂ ਅਤੇ ਫੀਡਬੈਕ ਭੇਜਣ ਲਈ ਐਕਚੁਏਟਰਾਂ ਬਾਰੇ ਸਿੱਖੋ, ਜਦੋਂ ਤੁਸੀਂ ਇੱਕ ਨਾਈਟਲਾਈਟ ਬਣਾਉਂਦੇ ਹੋ                                           | [ਸੈਂਸਰ ਅਤੇ ਐਕਚੁਏਟਰਾਂ ਨਾਲ ਭੌਤਿਕ ਜਗਤ ਨਾਲ ਸੰਚਾਰ ਕਰੋ](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [ਸ਼ੁਰੂਆਤ](./1-getting-started/README.md) |             ਆਪਣਾ ਡਿਵਾਈਸ ਇੰਟਰਨੈਟ ਨਾਲ ਜੋੜੋ             | IoT ਡਿਵਾਈਸ ਨੂੰ ਇੰਟਰਨੈਟ ਨਾਲ ਜੋੜਨ ਬਾਰੇ ਸਿੱਖੋ ਤਾਂ ਜੋ ਸੁਨੇਹੇ ਭੇਜੇ ਅਤੇ ਪ੍ਰਾਪਤ ਕੀਤੇ ਜਾ ਸਕਣ, ਜਦੋਂ ਤੁਸੀਂ ਆਪਣੀ ਨਾਈਟਲਾਈਟ ਨੂੰ MQTT ਬ੍ਰੋਕਰ ਨਾਲ ਜੋੜਦੇ ਹੋ                               |               [ਆਪਣਾ ਡਿਵਾਈਸ ਇੰਟਰਨੈਟ ਨਾਲ ਜੋੜੋ](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [ਫਾਰਮ](./2-farm/README.md)            |                    ਪੌਦੇ ਦੀ ਵਾਧੂ ਦੀ ਪੇਸ਼ਗੂਈ ਕਰੋ                     | IoT ਡਿਵਾਈਸ ਦੁਆਰਾ ਕੈਪਚਰ ਕੀਤੇ ਤਾਪਮਾਨ ਡਾਟਾ ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਪੌਦੇ ਦੀ ਵਾਧੂ ਦੀ ਪੇਸ਼ਗੂਈ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                  |                          [ਪੌਦੇ ਦੀ ਵਾਧੂ ਦੀ ਪੇਸ਼ਗੂਈ ਕਰੋ](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [ਫਾਰਮ](./2-farm/README.md)            |                    ਮਿੱਟੀ ਦੀ ਨਮੀ ਦਾ ਪਤਾ ਲਗਾਓ                     | ਮਿੱਟੀ ਦੀ ਨਮੀ ਦਾ ਪਤਾ ਲਗਾਉਣ ਅਤੇ ਮਿੱਟੀ ਦੀ ਨਮੀ ਸੈਂਸਰ ਨੂੰ ਕੈਲੀਬਰੇਟ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                              |                          [ਮਿੱਟੀ ਦੀ ਨਮੀ ਦਾ ਪਤਾ ਲਗਾਓ](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [ਫਾਰਮ](./2-farm/README.md)            |                  ਪੌਦੇ ਨੂੰ ਪਾਣੀ ਦੇਣ ਦੀ ਆਟੋਮੈਟਿਕ ਪ੍ਰਕਿਰਿਆ                   | ਰੀਲੇ ਅਤੇ MQTT ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਪਾਣੀ ਦੇਣ ਦੀ ਆਟੋਮੈਟਿਕ ਪ੍ਰਕਿਰਿਆ ਅਤੇ ਸਮਾਂ ਸੈਟ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                                      |                      [ਪੌਦੇ ਨੂੰ ਪਾਣੀ ਦੇਣ ਦੀ ਆਟੋਮੈਟਿਕ ਪ੍ਰਕਿਰਿਆ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [ਫਾਰਮ](./2-farm/README.md)            |               ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ               | ਕਲਾਉਡ ਅਤੇ ਕਲਾਉਡ-ਹੋਸਟ ਕੀਤੀਆਂ IoT ਸੇਵਾਵਾਂ ਬਾਰੇ ਸਿੱਖੋ ਅਤੇ ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਇੱਕ ਪਬਲਿਕ MQTT ਬ੍ਰੋਕਰ ਦੀ ਬਜਾਏ ਇਨ੍ਹਾਂ ਵਿੱਚੋਂ ਇੱਕ ਨਾਲ ਕਿਵੇਂ ਜੋੜਨਾ ਹੈ                                   |               [ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [ਫਾਰਮ](./2-farm/README.md)            |         ਆਪਣੀ ਐਪਲੀਕੇਸ਼ਨ ਲਾਜਿਕ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ         | ਇਹ ਸਿੱਖੋ ਕਿ ਤੁਸੀਂ IoT ਸੁਨੇਹਿਆਂ ਦਾ ਜਵਾਬ ਦੇਣ ਵਾਲੀ ਐਪਲੀਕੇਸ਼ਨ ਲਾਜਿਕ ਕਲਾਉਡ ਵਿੱਚ ਕਿਵੇਂ ਲਿਖ ਸਕਦੇ ਹੋ                                                                          |         [ਆਪਣੀ ਐਪਲੀਕੇਸ਼ਨ ਲਾਜਿਕ ਨੂੰ ਕਲਾਉਡ ਵਿੱਚ ਮਾਈਗਰੇਟ ਕਰੋ](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [ਫਾਰਮ](./2-farm/README.md)            |                   ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਸੁਰੱਖਿਅਤ ਰੱਖੋ                    | IoT ਨਾਲ ਸੁਰੱਖਿਆ ਬਾਰੇ ਸਿੱਖੋ ਅਤੇ ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਕੁੰਜੀਆਂ ਅਤੇ ਸਰਟੀਫਿਕੇਟਾਂ ਨਾਲ ਸੁਰੱਖਿਅਤ ਕਿਵੇਂ ਰੱਖਣਾ                                                                          |                        [ਆਪਣੇ ਪੌਦੇ ਨੂੰ ਸੁਰੱਖਿਅਤ ਰੱਖੋ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [ਟ੍ਰਾਂਸਪੋਰਟ](./3-transport/README.md)       |                      ਸਥਾਨ ਟ੍ਰੈਕਿੰਗ                      | IoT ਡਿਵਾਈਸਾਂ ਲਈ GPS ਸਥਾਨ ਟ੍ਰੈਕਿੰਗ ਬਾਰੇ ਸਿੱਖੋ                                                                                                                   |                           [ਸਥਾਨ ਟ੍ਰੈਕਿੰਗ](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [ਟ੍ਰਾਂਸਪੋਰਟ](./3-transport/README.md)       |                     ਸਥਾਨ ਡਾਟਾ ਸਟੋਰ ਕਰੋ                     | IoT ਡਾਟਾ ਨੂੰ ਸਟੋਰ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ ਤਾਂ ਜੋ ਇਸਨੂੰ ਬਾਅਦ ਵਿੱਚ ਵਿਜੁਅਲਾਈਜ਼ ਜਾਂ ਵਿਸ਼ਲੇਸ਼ਣ ਕੀਤਾ ਜਾ ਸਕੇ                                                                                                      |                         [ਸਥਾਨ ਡਾਟਾ ਸਟੋਰ ਕਰੋ](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [ਟ੍ਰਾਂਸਪੋਰਟ](./3-transport/README.md)       |                   ਸਥਾਨ ਡਾਟਾ ਨੂੰ ਵਿਜੁਅਲਾਈਜ਼ ਕਰੋ                   | ਨਕਸ਼ੇ 'ਤੇ ਸਥਾਨ ਡਾਟਾ ਨੂੰ ਵਿਜੁਅਲਾਈਜ਼ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ, ਅਤੇ ਕਿਵੇਂ ਨਕਸ਼ੇ ਅਸਲ 3D ਦੁਨੀਆ ਨੂੰ 2 ਡਾਈਮੈਂਸ਼ਨ ਵਿੱਚ ਦਰਸਾਉਂਦੇ ਹਨ                                                            |                     [ਸਥਾਨ ਡਾਟਾ ਨੂੰ ਵਿਜੁਅਲਾਈਜ਼ ਕਰੋ](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  13   |       [ਟ੍ਰਾਂਸਪੋਰਟ](./3-transport/README.md)       |                   ਸਥਾਨ ਡਾਟਾ ਨੂੰ ਵਿਜੁਅਲਾਈਜ਼ ਕਰੋ                   | ਨਕਸ਼ੇ 'ਤੇ ਸਥਾਨ ਡਾਟਾ ਨੂੰ ਵਿਜੁਅਲਾਈਜ਼ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ, ਅਤੇ ਕਿਵੇਂ ਨਕਸ਼ੇ ਅਸਲ 3D ਜਗਤ ਨੂੰ 2 ਡਾਈਮੈਂਸ਼ਨ ਵਿੱਚ ਦਰਸਾਉਂਦੇ ਹਨ                                                            |                     [ਸਥਾਨ ਡਾਟਾ ਨੂੰ ਵਿਜੁਅਲਾਈਜ਼ ਕਰੋ](./3-transport/lessons/3-visualize-location-data/README.md)                     |
 |  14   |       [ਟ੍ਰਾਂਸਪੋਰਟ](./3-transport/README.md)       |                          ਜਿਓਫੈਂਸ                          | ਜਿਓਫੈਂਸ ਬਾਰੇ ਸਿੱਖੋ, ਅਤੇ ਇਹ ਕਿਵੇਂ ਵਰਤੇ ਜਾ ਸਕਦੇ ਹਨ ਜਦੋਂ ਸਪਲਾਈ ਚੇਨ ਵਿੱਚ ਵਾਹਨ ਆਪਣੇ ਮੰਜ਼ਿਲ ਦੇ ਨੇੜੇ ਹੁੰਦੇ ਹਨ                                           |                                   [ਜਿਓਫੈਂਸ](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [ਮੈਨੂਫੈਕਚਰਿੰਗ](./4-manufacturing/README.md)   |               ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ                | ਕਲਾਉਡ ਵਿੱਚ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਦਾ ਪਤਾ ਲਗਾਉਣ ਲਈ ਇੱਕ ਚਿੱਤਰ ਵਰਗੀਕਰਤਾ ਨੂੰ ਟ੍ਰੇਨ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                       |                 [ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  15   |   [ਮੈਨੂਫੈਕਚਰਿੰਗ](./4-manufacturing/README.md)   |               ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ                | ਕਲਾਉਡ ਵਿੱਚ ਇੱਕ ਇਮੇਜ ਕਲਾਸੀਫਾਇਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ ਤਾਂ ਜੋ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਦਾ ਪਤਾ ਲਗਾਇਆ ਜਾ ਸਕੇ                                                                                       |                 [ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
 |  16   |   [ਮੈਨੂਫੈਕਚਰਿੰਗ](./4-manufacturing/README.md)   |           IoT ਡਿਵਾਈਸ ਤੋਂ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਚੈੱਕ ਕਰੋ            | IoT ਡਿਵਾਈਸ ਤੋਂ ਆਪਣੇ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਟਰ ਦੀ ਵਰਤੋਂ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                                    |           [IoT ਡਿਵਾਈਸ ਤੋਂ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਚੈੱਕ ਕਰੋ](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [ਮੈਨੂਫੈਕਚਰਿੰਗ](./4-manufacturing/README.md)   |             ਆਪਣੇ ਫਲ ਡਿਟੈਕਟਰ ਨੂੰ ਐਜ 'ਤੇ ਚਲਾਓ             | IoT ਡਿਵਾਈਸ 'ਤੇ ਆਪਣੇ ਫਲ ਡਿਟੈਕਟਰ ਨੂੰ ਐਜ 'ਤੇ ਚਲਾਉਣ ਬਾਰੇ ਸਿੱਖੋ                                                                                                |             [ਆਪਣੇ ਫਲ ਡਿਟੈਕਟਰ ਨੂੰ ਐਜ 'ਤੇ ਚਲਾਓ](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [ਮੈਨੂਫੈਕਚਰਿੰਗ](./4-manufacturing/README.md)   |        ਸੈਂਸਰ ਤੋਂ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਸ਼ਨ ਨੂੰ ਟ੍ਰਿਗਰ ਕਰੋ        | ਸੈਂਸਰ ਤੋਂ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਸ਼ਨ ਨੂੰ ਟ੍ਰਿਗਰ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                                        |        [ਸੈਂਸਰ ਤੋਂ ਫਲ ਦੀ ਗੁਣਵੱਤਾ ਡਿਟੈਕਸ਼ਨ ਨੂੰ ਟ੍ਰਿਗਰ ਕਰੋ](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [ਰਿਟੇਲ](./5-retail/README.md)          |                   ਸਟਾਕ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ                    | ਇੱਕ ਦੁਕਾਨ ਵਿੱਚ ਸਟਾਕ ਦੀ ਗਿਣਤੀ ਕਰਨ ਲਈ ਸਟਾਕ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰਨ ਲਈ ਵਸਤੂ ਡਿਟੈਕਸ਼ਨ ਦੀ ਵਰਤੋਂ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                |                        [ਸਟਾਕ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [ਰਿਟੇਲ](./5-retail/README.md)          |               IoT ਡਿਵਾਈਸ ਤੋਂ ਸਟਾਕ ਚੈੱਕ ਕਰੋ                | ਵਸਤੂ ਡਿਟੈਕਸ਼ਨ ਮਾਡਲ ਦੀ ਵਰਤੋਂ ਕਰਕੇ IoT ਡਿਵਾਈਸ ਤੋਂ ਸਟਾਕ ਚੈੱਕ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                         |                     [IoT ਡਿਵਾਈਸ ਤੋਂ ਸਟਾਕ ਚੈੱਕ ਕਰੋ](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  19   |          [ਰਿਟੇਲ](./5-retail/README.md)          |                   ਸਟਾਕ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ                    | ਇੱਕ ਦੁਕਾਨ ਵਿੱਚ ਸਟਾਕ ਦੀ ਗਿਣਤੀ ਕਰਨ ਲਈ ਸਟਾਕ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰਨ ਲਈ ਆਬਜੈਕਟ ਡਿਟੈਕਸ਼ਨ ਦੀ ਵਰਤੋਂ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                |                        [ਸਟਾਕ ਡਿਟੈਕਟਰ ਨੂੰ ਟ੍ਰੇਨ ਕਰੋ](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [ਰਿਟੇਲ](./5-retail/README.md)          |               IoT ਡਿਵਾਈਸ ਤੋਂ ਸਟਾਕ ਚੈੱਕ ਕਰੋ                | ਇੱਕ ਆਬਜੈਕਟ ਡਿਟੈਕਸ਼ਨ ਮਾਡਲ ਦੀ ਵਰਤੋਂ ਕਰਕੇ IoT ਡਿਵਾਈਸ ਤੋਂ ਸਟਾਕ ਚੈੱਕ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                         |                     [IoT ਡਿਵਾਈਸ ਤੋਂ ਸਟਾਕ ਚੈੱਕ ਕਰੋ](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [ਕੰਜ਼ਿਊਮਰ](./6-consumer/README.md)        |             IoT ਡਿਵਾਈਸ ਨਾਲ ਬੋਲਣ ਦੀ ਪਹਿਚਾਣ ਕਰੋ             | ਇੱਕ ਸਮਾਰਟ ਟਾਈਮਰ ਬਣਾਉਣ ਲਈ IoT ਡਿਵਾਈਸ ਤੋਂ ਬੋਲਣ ਦੀ ਪਹਿਚਾਣ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ                                                                                             |                  [IoT ਡਿਵਾਈਸ ਨਾਲ ਬੋਲਣ ਦੀ ਪਹਿਚਾਣ ਕਰੋ](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [ਕੰਜ਼ਿਊਮਰ](./6-consumer/README.md)        |                     ਭਾਸ਼ਾ ਨੂੰ ਸਮਝੋ                     | IoT ਡਿਵਾਈਸ ਨੂੰ ਬੋਲੀ ਗਈ ਵਾਕਾਂਸ਼ਾਂ ਨੂੰ ਸਮਝਣ ਬਾਰੇ ਸਿੱਖੋ                                                                                                           |                        [ਭਾਸ਼ਾ ਨੂੰ ਸਮਝੋ](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [ਕੰਜ਼ਿਊਮਰ](./6-consumer/README.md)        |           ਇੱਕ ਟਾਈਮਰ ਸੈਟ ਕਰੋ ਅਤੇ ਬੋਲੀ ਫੀਡਬੈਕ ਦਿਓ           | IoT ਡਿਵਾਈਸ 'ਤੇ ਇੱਕ ਟਾਈਮਰ ਸੈਟ ਕਰਨ ਅਤੇ ਟਾਈਮਰ ਸੈਟ ਹੋਣ ਅਤੇ ਖਤਮ ਹੋਣ 'ਤੇ ਬੋਲੀ ਫੀਡਬੈਕ ਦੇਣ ਬਾਰੇ ਸਿੱਖੋ                                                    |                 [ਇੱਕ ਟਾਈਮਰ ਸੈਟ ਕਰੋ ਅਤੇ ਬੋਲੀ ਫੀਡਬੈਕ ਦਿਓ](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [ਕੰਜ਼ਿਊਮਰ](./6-consumer/README.md)        |                 ਕਈ ਭਾਸ਼ਾਵਾਂ ਦਾ ਸਮਰਥਨ                  | ਕਈ ਭਾਸ਼ਾਵਾਂ ਦਾ ਸਮਰਥਨ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ, ਦੋਵੇਂ ਬੋਲੀ ਗਈਆਂ ਅਤੇ ਤੁਹਾਡੇ ਸਮਾਰਟ ਟਾਈਮਰ ਤੋਂ ਜਵਾਬ                                                               |                   [ਕਈ ਭਾਸ਼ਾਵਾਂ ਦਾ ਸਮਰਥਨ](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  24   |        [ਕੰਜ਼ਿਊਮਰ](./6-consumer/README.md)        |                 ਕਈ ਭਾਸ਼ਾਵਾਂ ਦਾ ਸਮਰਥਨ ਕਰੋ                  | ਕਈ ਭਾਸ਼ਾਵਾਂ ਦਾ ਸਮਰਥਨ ਕਰਨ ਬਾਰੇ ਸਿੱਖੋ, ਦੋਵੇਂ ਬੋਲੀ ਗਈਆਂ ਅਤੇ ਤੁਹਾਡੇ ਸਮਾਰਟ ਟਾਈਮਰ ਤੋਂ ਜਵਾਬ                                                               |                   [ਕਈ ਭਾਸ਼ਾਵਾਂ ਦਾ ਸਮਰਥਨ ਕਰੋ](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## ਆਫਲਾਈਨ ਪਹੁੰਚ
 
-ਤੁਸੀਂ ਇਸ ਦਸਤਾਵੇਜ਼ ਨੂੰ [Docsify](https://docsify.js.org/#/) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਆਫਲਾਈਨ ਚਲਾ ਸਕਦੇ ਹੋ। ਇਸ ਰਿਪੋ ਨੂੰ ਫੋਰਕ ਕਰੋ, [Docsify ਇੰਸਟਾਲ ਕਰੋ](https://docsify.js.org/#/quickstart) ਆਪਣੇ ਸਥਾਨਕ ਮਸ਼ੀਨ 'ਤੇ, ਅਤੇ ਫਿਰ ਇਸ ਰਿਪੋ ਦੇ ਰੂਟ ਫੋਲਡਰ ਵਿੱਚ `docsify serve` ਟਾਈਪ ਕਰੋ। ਵੈਬਸਾਈਟ ਤੁਹਾਡੇ ਲੋਕਲਹੋਸਟ `localhost:3000` 'ਤੇ ਪੋਰਟ 3000 'ਤੇ ਸਰਵ ਕੀਤੀ ਜਾਵੇਗੀ।
+ਤੁਸੀਂ ਇਸ ਡੌਕੂਮੈਂਟੇਸ਼ਨ ਨੂੰ [Docsify](https://docsify.js.org/#/) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਆਫਲਾਈਨ ਚਲਾ ਸਕਦੇ ਹੋ। ਇਸ ਰਿਪੋ ਨੂੰ ਫੋਰਕ ਕਰੋ, [Docsify ਇੰਸਟਾਲ ਕਰੋ](https://docsify.js.org/#/quickstart) ਆਪਣੇ ਸਥਾਨਕ ਕੰਪਿਊਟਰ 'ਤੇ, ਅਤੇ ਫਿਰ ਇਸ ਰਿਪੋ ਦੇ ਰੂਟ ਫੋਲਡਰ ਵਿੱਚ `docsify serve` ਟਾਈਪ ਕਰੋ। ਵੈਬਸਾਈਟ ਤੁਹਾਡੇ localhost 'ਤੇ ਪੋਰਟ 3000 'ਤੇ ਸਰਵ ਕੀਤੀ ਜਾਵੇਗੀ: `localhost:3000`।
 
-## ਕਵਿਜ਼
+## ਕੁਇਜ਼
 
-ਕਮਿਊਨਿਟੀ ਦਾ ਧੰਨਵਾਦ ਹੈ ਜੋ ਇੰਟਰਐਕਟਿਵ ਕਵਿਜ਼ ਦੀ ਮਿਜ਼ਬਾਨੀ ਕਰਦੀ ਹੈ ਜੋ ਹਰ ਚੈਪਟਰ 'ਤੇ ਤੁਹਾਡੇ ਗਿਆਨ ਦੀ ਜਾਂਚ ਕਰਦੀ ਹੈ। ਤੁਸੀਂ ਆਪਣਾ ਗਿਆਨ [ਇੱਥੇ](https://ff-quizzes.netlify.app/en/) ਜਾਂਚ ਸਕਦੇ ਹੋ 
+ਕਮਿਊਨਿਟੀ ਦਾ ਧੰਨਵਾਦ ਹੈ ਜੋ ਇੰਟਰਐਕਟਿਵ ਕੁਇਜ਼ ਦੀ ਮਿਜ਼ਬਾਨੀ ਕਰਦੀ ਹੈ ਜੋ ਹਰ ਚੈਪਟਰ 'ਤੇ ਤੁਹਾਡੇ ਗਿਆਨ ਦੀ ਜਾਂਚ ਕਰਦੀ ਹੈ। ਤੁਸੀਂ ਆਪਣਾ ਗਿਆਨ [ਇੱਥੇ](https://ff-quizzes.netlify.app/en/) ਜਾਂਚ ਸਕਦੇ ਹੋ।
 
 ### PDF
 
-ਤੁਸੀਂ ਜ਼ਰੂਰਤ ਪੈਣ 'ਤੇ ਆਫਲਾਈਨ ਪਹੁੰਚ ਲਈ ਇਸ ਸਮੱਗਰੀ ਦਾ PDF ਜਨਰੇਟ ਕਰ ਸਕਦੇ ਹੋ। ਇਹ ਕਰਨ ਲਈ, ਯਕੀਨੀ ਬਣਾਓ ਕਿ ਤੁਹਾਡੇ ਕੋਲ [npm ਇੰਸਟਾਲ ਕੀਤਾ ਹੋਇਆ ਹੈ](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ਅਤੇ ਇਸ ਰਿਪੋ ਦੇ ਰੂਟ ਫੋਲਡਰ ਵਿੱਚ ਹੇਠਾਂ ਦਿੱਤੇ ਕਮਾਂਡ ਚਲਾਓ:
+ਤੁਸੀਂ ਇਸ ਸਮੱਗਰੀ ਦਾ PDF ਜਨਰੇਟ ਕਰ ਸਕਦੇ ਹੋ ਜੇਕਰ ਤੁਹਾਨੂੰ ਆਫਲਾਈਨ ਪਹੁੰਚ ਦੀ ਲੋੜ ਹੋਵੇ। ਇਸ ਲਈ, ਯਕੀਨੀ ਬਣਾਓ ਕਿ ਤੁਹਾਡੇ ਕੋਲ [npm ਇੰਸਟਾਲ ਹੈ](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ਅਤੇ ਇਸ ਰਿਪੋ ਦੇ ਰੂਟ ਫੋਲਡਰ ਵਿੱਚ ਹੇਠਾਂ ਦਿੱਤੇ ਕਮਾਂਡ ਚਲਾਓ:
 
 ```sh
 npm i
 npm run convert
 ```
 
-### ਸਲਾਈਡਸ
-
-ਕੁਝ ਪਾਠਾਂ ਲਈ [ਸਲਾਈਡਸ](../../slides) ਫੋਲਡਰ ਵਿੱਚ ਸਲਾਈਡ ਡੈਕਸ ਉਪਲਬਧ ਹਨ।
+### ਸਲਾਈਡ
 
+ਕੁਝ ਪਾਠਾਂ ਲਈ ਸਲਾਈਡ ਡੈਕ [slides](../../slides) ਫੋਲਡਰ ਵਿੱਚ ਉਪਲਬਧ ਹਨ।
 
-## ਹੋਰ ਕੋਰਸ
+## ਹੋਰ ਪਾਠਕ੍ਰਮ
 
-ਸਾਡੀ ਟੀਮ ਹੋਰ ਕੋਰਸ ਵੀ ਤਿਆਰ ਕਰਦੀ ਹੈ! ਚੈੱਕ ਕਰੋ:
+ਸਾਡੀ ਟੀਮ ਹੋਰ ਪਾਠਕ੍ਰਮ ਤਿਆਰ ਕਰਦੀ ਹੈ! ਵੇਖੋ:
 
-### Azure / Edge / MCP / ਏਜੰਟਸ
+### Azure / Edge / MCP / Agents
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### ਜਨਰੇਟਿਵ AI ਸੀਰੀਜ਼
-[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github
-[![ਬੁਨਿਆਦੀ ਮਸ਼ੀਨ ਲਰਨਿੰਗ](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ਬੁਨਿਆਦੀ ਡਾਟਾ ਸਾਇੰਸ](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ਬੁਨਿਆਦੀ AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ਬੁਨਿਆਦੀ ਸਾਈਬਰਸੁਰੱਖਿਆ](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![ਬੁਨਿਆਦੀ ਵੈੱਬ ਵਿਕਾਸ](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ਬੁਨਿਆਦੀ IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ਬੁਨਿਆਦੀ XR ਵਿਕਾਸ](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### ਮੁੱਖ ਸਿੱਖਿਆ
+[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### Copilot ਸੀਰੀਜ਼  
-[![Copilot ਲਈ AI ਜੋੜੇ ਪ੍ਰੋਗਰਾਮਿੰਗ](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot ਲਈ C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot ਐਡਵੈਂਚਰ](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot ਸਿਰੀਜ਼
+[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## ਚਿੱਤਰਾਂ ਦੇ ਸ਼੍ਰੇਯਸ
+## ਚਿੱਤਰਾਂ ਦੇ ਹੱਕ
 
-ਇਸ ਪਾਠਕ੍ਰਮ ਵਿੱਚ ਵਰਤੇ ਗਏ ਚਿੱਤਰਾਂ ਦੇ ਸਾਰੇ ਸ਼੍ਰੇਯਸ [ਸ਼੍ਰੇਯਸ](./attributions.md) ਵਿੱਚ ਮਿਲ ਸਕਦੇ ਹਨ।
+ਇਸ ਪਾਠਕ੍ਰਮ ਵਿੱਚ ਵਰਤੇ ਗਏ ਚਿੱਤਰਾਂ ਦੇ ਹੱਕ ਜਿੱਥੇ ਲੋੜੀਂਦੇ ਹਨ, ਤੁਸੀਂ ਉਹਨਾਂ ਨੂੰ [Attributions](./attributions.md) ਵਿੱਚ ਲੱਭ ਸਕਦੇ ਹੋ।
 
 ---
 
-**ਅਸਵੀਕਰਤਾ**:  
-ਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀ ਹੋਣ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁੱਤੀਆਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਇਸਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਅਧਿਕਾਰਤ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਲਈ ਅਸੀਂ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**ਅਸਵੀਕਰਤੀ**:  
+ਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀ ਹੋਣ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁਚੱਜੇਪਣ ਹੋ ਸਕਦੇ ਹਨ। ਇਸ ਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਮੌਜੂਦ ਮੂਲ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਅਧਿਕਾਰਕ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਅਸੀਂ ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਲਈ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/README.md b/translations/pcm/1-getting-started/README.md
new file mode 100644
index 000000000..4e11a282d
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e2b1b891b08ef7633d285547fbe73290",
+  "translation_date": "2025-11-18T18:26:03+00:00",
+  "source_file": "1-getting-started/README.md",
+  "language_code": "pcm"
+}
+-->
+# How to Start with IoT
+
+For dis part of di curriculum, dem go show you wetin Internet of Things (IoT) mean, and you go sabi di basic things wey dey inside, including how to do your first 'Hello World' IoT project wey go connect to di cloud. Dis project na nightlight wey dey shine when di light wey sensor dey measure don reduce.
+
+![Di LED wey connect to di WIO dey on and off as di light level dey change](../../../images/wio-running-assignment-1-1.gif)
+
+## Topics
+
+1. [Introduction to IoT](lessons/1-introduction-to-iot/README.md)
+1. [Make we look IoT well well](lessons/2-deeper-dive/README.md)
+1. [How to use sensors and actuators to interact with di physical world](lessons/3-sensors-and-actuators/README.md)
+1. [Connect your device to di Internet](lessons/4-connect-internet/README.md)
+
+## Credits
+
+All di lessons na [Jim Bennett](https://GitHub.com/JimBobBennett) write am with ♥️
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg no forget say automatic translation fit get mistake or no dey accurate well. Di original document for di language wey dem write am first na di main correct one. For important information, e good make una use professional human translation. We no go fit take responsibility for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/README.md b/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9bae08314d8487cb76ddf3d8797e1544",
+  "translation_date": "2025-11-18T18:33:20+00:00",
+  "source_file": "1-getting-started/lessons/1-introduction-to-iot/README.md",
+  "language_code": "pcm"
+}
+-->
+# Introduction to IoT
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-1.2606670fa61ee904687da5d6fa4e726639d524d064c895117da1b95b9ff6251d.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
+Dis lesson na part of di [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) wey Microsoft Reactor teach. Di lesson get two videos - one na 1 hour lesson, di oda na 1 hour office hour wey go deep inside di lesson and answer questions.
+
+[![Lesson 1: Introduction to IoT](https://img.youtube.com/vi/bVFfcYh6UBw/0.jpg)](https://youtu.be/bVFfcYh6UBw)
+
+[![Lesson 1: Introduction to IoT - Office hours](https://img.youtube.com/vi/YI772q5v3yI/0.jpg)](https://youtu.be/YI772q5v3yI)
+
+> 🎥 Click di images above to watch di videos
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/1)
+
+## Introduction
+
+Dis lesson go talk about di basics of Internet of Things (IoT), and e go help you set up your hardware.
+
+For dis lesson, we go cover:
+
+* [Wetin be 'Internet of Things'?](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+* [IoT devices](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+* [Set up your device](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+* [Applications of IoT](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+* [Examples of IoT devices wey fit dey around you](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+
+## Wetin be 'Internet of Things'?
+
+Di name 'Internet of Things' na [Kevin Ashton](https://wikipedia.org/wiki/Kevin_Ashton) give am for 1999, to describe how Internet fit connect to di physical world through sensors. Since dat time, di name don dey use for any device wey dey interact with di physical world, either by collecting data from sensors or doing real-world actions through actuators (like turning on switch or lighting LED), wey dey connect to oda devices or Internet.
+
+> **Sensors** dey collect info from di world, like speed, temperature or location.
+>
+> **Actuators** dey change electrical signals to real-world actions like turning on light, making sound, or sending control signals to oda hardware, like to turn on power socket.
+
+IoT no be only about devices - e dey include cloud services wey fit process sensor data or send requests to actuators wey dey connect to IoT devices. E also dey include devices wey no need Internet connection, wey dem dey call edge devices. Dis devices fit process and respond to sensor data by demself, usually using AI models wey dem train for cloud.
+
+IoT na one fast-growing technology. By di end of 2020, dem estimate say 30 billion IoT devices don dey connect to Internet. By 2025, dem dey expect say IoT devices go dey collect almost 80 zettabytes of data (80 trillion gigabytes). Dat na plenty data!
+
+![A graph showing active IoT devices over time, with an upward trend from under 5 billion in 2015 to over 30 billion in 2025](../../../../../images/connected-iot-devices.svg)
+
+✅ Do small research: How much of di data wey IoT devices dey generate dem dey use, and how much dem dey waste? Why dem dey ignore plenty data?
+
+Dis data na di key to IoT success. To sabi IoT well, you need to understand di data wey you need, how to collect am, how to make decisions with am, and how to use di decisions to interact with di physical world if e dey necessary.
+
+## IoT devices
+
+Di **T** for IoT mean **Things** - devices wey dey interact with di physical world either by collecting data from sensors or doing real-world actions through actuators.
+
+Devices wey dem dey use for production or commercial purposes, like fitness trackers or industrial machine controllers, na custom-made. Dem dey use custom circuit boards, processors, and design wey fit di task, whether e small enough to wear for hand or rugged enough for factory environment.
+
+As developer wey dey learn IoT or dey create prototype, you go need developer kit. Dis na general-purpose IoT devices wey developers fit use, with features wey production devices no go get, like external pins to connect sensors or actuators, debugging hardware, or extra resources wey go add cost for large manufacturing.
+
+Developer kits dey two types - microcontrollers and single-board computers. We go introduce dem here, and talk more for di next lesson.
+
+> 💁 Your phone fit be general-purpose IoT device too, with sensors and actuators inside, wey different apps dey use in different ways with cloud services. Some IoT tutorials dey use phone app as IoT device.
+
+### Microcontrollers
+
+Microcontroller (MCU - microcontroller unit) na small computer wey get:
+
+🧠 One or more CPUs - di 'brain' wey dey run your program
+
+💾 Memory (RAM and program memory) - where your program, data and variables dey
+
+🔌 Programmable input/output (I/O) connections - to connect external devices like sensors and actuators
+
+Microcontrollers dey cheap, with average price around US$0.50, and some as low as US$0.03. Developer kits fit start from US$4, and di [Wio Terminal](https://www.seeedstudio.com/Wio-Terminal-p-4509.html) from [Seeed studios](https://www.seeedstudio.com) wey get sensors, actuators, WiFi and screen dey cost around US$30.
+
+![A Wio Terminal](../../../../../translated_images/wio-terminal.b8299ee16587db9aa9e05fabf9721bccd9eb8fb541b7c1a8267241282d81b603.pcm.png)
+
+> 💁 If you dey search for microcontrollers online, no use **MCU** because e go show plenty Marvel Cinematic Universe results instead of microcontrollers.
+
+Microcontrollers dey program to do specific tasks, no be general-purpose computers like PC or Mac. You no fit connect monitor, keyboard and mouse to use dem for general tasks.
+
+Developer kits dey come with sensors and actuators onboard. Most boards get LEDs wey you fit program, and standard plugs to add more sensors or actuators. Some microcontrollers get wireless connectivity like Bluetooth or WiFi.
+
+> 💁 Microcontrollers dey program with C/C++.
+
+### Single-board computers
+
+Single-board computer na small computer wey get all di parts of complete computer for one small board. E dey like desktop or laptop PC/Mac, but e small, dey use less power, and cheap.
+
+![A Raspberry Pi 4](../../../../../translated_images/raspberry-pi-4.fd4590d308c3d456db1327e86b395ddcd735513267aafd4879ea2785f7792eac.pcm.jpg)
+
+Raspberry Pi na one of di most popular single-board computers.
+
+Like microcontroller, single-board computers get CPU, memory and I/O pins, but e get extra features like graphics chip for monitor, audio output, USB ports for keyboard, mouse, webcam or storage. Programs dey store for SD cards or hard drives with operating system.
+
+> 🎓 You fit think of single-board computer as smaller, cheaper version of di PC/Mac wey you dey use now, with GPIO pins to connect sensors and actuators.
+
+Single-board computers na full computers, so you fit program dem with any language. IoT devices dey usually program with Python.
+
+### Hardware choices for di rest of di lessons
+
+Di next lessons go use IoT device to interact with di physical world and cloud. Each lesson go support 3 device choices - Arduino (Seeed Studios Wio Terminal), single-board computer (Raspberry Pi 4), or virtual single-board computer wey dey run for your PC/Mac.
+
+You fit read about di hardware wey you need for di assignments for [hardware guide](../../../hardware.md).
+
+> 💁 You no need buy IoT hardware to do di assignments, you fit use virtual single-board computer.
+
+Which hardware you go choose depend on wetin you get for house or school, and di programming language wey you sabi or wan learn. Both hardware go use di same sensor ecosystem, so you fit switch without replacing most of di kit. Virtual single-board computer go be like Raspberry Pi, and di code go work for Pi if you later get device and sensors.
+
+### Arduino developer kit
+
+If you wan learn microcontroller development, you fit use Arduino device for di assignments. You go need basic understanding of C/C++ programming, as di lessons go only teach code wey dey relevant to Arduino framework, sensors, actuators, and cloud libraries.
+
+Di assignments go use [Visual Studio Code](https://code.visualstudio.com/?WT.mc_id=academic-17441-jabenn) with [PlatformIO extension for microcontroller development](https://platformio.org). If you sabi Arduino IDE, you fit use am, but instructions no go dey.
+
+### Single-board computer developer kit
+
+If you wan learn IoT development with single-board computers, you fit use Raspberry Pi or virtual device for di assignments.
+
+You go need basic understanding of Python programming, as di lessons go only teach code wey dey relevant to sensors, actuators, and cloud libraries.
+
+> 💁 If you wan learn Python, check dis two video series:
+>
+> * [Python for beginners](https://channel9.msdn.com/Series/Intro-to-Python-Development?WT.mc_id=academic-17441-jabenn)
+> * [More Python for beginners](https://channel9.msdn.com/Series/More-Python-for-Beginners?WT.mc_id=academic-7372-jabenn)
+
+Di assignments go use [Visual Studio Code](https://code.visualstudio.com/?WT.mc_id=academic-17441-jabenn).
+
+If you dey use Raspberry Pi, you fit run am with full desktop Raspberry Pi OS and code directly on di Pi using [Raspberry Pi OS version of VS Code](https://code.visualstudio.com/docs/setup/raspberry-pi?WT.mc_id=academic-17441-jabenn), or run am as headless device and code from your PC/Mac using VS Code with [Remote SSH extension](https://code.visualstudio.com/docs/remote/ssh?WT.mc_id=academic-17441-jabenn).
+
+If you dey use virtual device, you go code directly on your computer. Instead of sensors and actuators, you go use tool to simulate hardware, define sensor values, and show actuator results on screen.
+
+## Set up your device
+
+Before you start programming your IoT device, you go need small setup. Follow di instructions wey match di device wey you dey use.
+
+> 💁 If you never get device, check [hardware guide](../../../hardware.md) to decide which device you go use, and wetin you need buy. You no need buy hardware, as all di projects fit run on virtual hardware.
+
+Dis instructions get links to third-party websites from di hardware or tool creators. Dis na to make sure you dey use di latest instructions for di tools and hardware.
+Make sure say you follow di guide wey go help you set up your device and finish one 'Hello World' project. Dis na di first step to create one IoT nightlight for di 4 lessons wey dey dis getting started part.
+
+* [Arduino - Wio Terminal](wio-terminal.md)
+* [Single-board computer - Raspberry Pi](pi.md)
+* [Single-board computer - Virtual device](virtual-device.md)
+
+✅ You go dey use VS Code for both Arduino and Single-board computers. If you never use am before, read more about am for di [VS Code site](https://code.visualstudio.com?WT.mc_id=academic-17441-jabenn)
+
+## Applications of IoT
+
+IoT dey cover plenty use cases, across some big groups:
+
+* Consumer IoT
+* Commercial IoT
+* Industrial IoT
+* Infrastructure IoT
+
+✅ Do small research: For each area wey dem describe below, find one example wey dem no mention for di text.
+
+### Consumer IoT
+
+Consumer IoT na di IoT devices wey people go buy use for house. Some of di devices dey very useful, like smart speakers, smart heating systems and robotic vacuum cleaners. Others dey somehow, like voice-controlled taps wey go make am hard to turn off di tap because di voice control no fit hear you over di sound of di water wey dey run.
+
+Consumer IoT devices dey help people do more for dia environment, especially di 1 billion people wey get disability. Robotic vacuum cleaners fit help people wey no fit dey clean floor by demself, voice-controlled ovens dey allow people wey get limited vision or motor control to heat dia oven with only dia voice, health monitors dey help patients monitor dia chronic conditions with more regular and detailed updates. Dis devices don dey everywhere so tey even small pikin dey use dem for dia daily life, like students wey dey do virtual schooling during di COVID pandemic dey set timer for smart home devices to track dia schoolwork or alarms to remind dem of class meetings.
+
+✅ Wetin be di consumer IoT devices wey you get for your body or house?
+
+### Commercial IoT
+
+Commercial IoT na di IoT wey dem dey use for work place. For office, dem fit get sensors wey dey check how many people dey di place and motion detectors to manage light and heating so dem go only dey on when people dey dia, e go help reduce cost and carbon emissions. For factory, IoT devices fit dey monitor safety hazards like workers wey no wear hard hats or noise wey don reach dangerous level. For retail, IoT devices fit dey measure di temperature of cold storage, alert di shop owner if fridge or freezer no dey di correct temperature range, or dem fit dey monitor items for shelf to direct workers to refill produce wey don finish. Transport industry dey use IoT more and more to monitor vehicle location, track mileage for road user charging, track driver hours and break compliance, or notify staff when vehicle dey near depot to prepare for loading or unloading.
+
+✅ Wetin be di commercial IoT devices wey dey your school or workplace?
+
+### Industrial IoT (IIoT)
+
+Industrial IoT, or IIoT, na di use of IoT devices to control and manage big machinery. Dis one dey cover plenty use cases, from factories to digital agriculture.
+
+Factories dey use IoT devices in different ways. Machines fit dey monitored with sensors to track things like temperature, vibration and rotation speed. Di data fit dey monitored to stop di machine if e no dey work well - like if e dey too hot, dem go shut am down. Di data fit also dey analyzed over time to do predictive maintenance, where AI models go look di data wey dey lead to failure, and use am predict other failures before dem happen.
+
+Digital agriculture dey important to help feed di growing population, especially di 2 billion people wey dey 500 million households wey dey do [subsistence farming](https://wikipedia.org/wiki/Subsistence_agriculture). Digital agriculture fit range from small sensors wey cheap to big commercial setups. Farmers fit start by monitoring temperature and using [growing degree days](https://wikipedia.org/wiki/Growing_degree-day) to predict when crop go ready for harvest. Dem fit connect soil moisture monitoring to automated watering systems to give plants di water wey dem need, but no waste water. Farmers dey even use drones, satellite data and AI to monitor crop growth, disease and soil quality for big farmland.
+
+✅ Wetin be di other IoT devices wey fit help farmers?
+
+### Infrastructure IoT
+
+Infrastructure IoT na di monitoring and controlling of di local and global infrastructure wey people dey use everyday.
+
+[Smart Cities](https://wikipedia.org/wiki/Smart_city) na urban areas wey dey use IoT devices to gather data about di city and use am improve how di city dey run. Dis cities dey usually run with collaboration between local government, academia and local businesses, tracking and managing things like transport, parking and pollution. For example, for Copenhagen, Denmark, air pollution dey important to di people, so dem dey measure am and use di data to provide information on di cleanest cycling and jogging routes.
+
+[Smart power grids](https://wikipedia.org/wiki/Smart_grid) dey allow better analytics of power demand by gathering usage data for individual homes. Dis data fit guide decisions for country level like where to build new power stations, and for personal level by giving users insight into how dem dey use power, when dem dey use am, and even suggestions on how to reduce cost, like charging electric cars for night.
+
+✅ If you fit add IoT devices to measure anything for where you dey live, wetin e go be?
+
+## Examples of IoT devices wey fit dey around you
+
+You go surprise how many IoT devices dey around you. As I dey write dis one for house, I get di following devices wey connect to Internet with smart features like app control, voice control, or di ability to send data to me via my phone:
+
+* Plenty smart speakers
+* Fridge, dishwasher, oven and microwave
+* Electricity monitor for solar panels
+* Smart plugs
+* Video doorbell and security cameras
+* Smart thermostat with plenty smart room sensors
+* Garage door opener
+* Home entertainment systems and voice-controlled TVs
+* Lights
+* Fitness and health trackers
+
+All dis devices get sensors and/or actuators and dey talk to Internet. I fit check from my phone if my garage door dey open, and ask my smart speaker to close am for me. I fit even set timer so if e still dey open for night, e go close automatically. When my doorbell ring, I fit see from my phone who dey dia anywhere I dey for di world, and talk to dem via speaker and microphone wey dey di doorbell. I fit monitor my blood glucose, heart rate and sleep patterns, dey look for patterns for di data to improve my health. I fit control my lights via di cloud, and sit for dark if my Internet connection go down.
+
+---
+
+## 🚀 Challenge
+
+List as many IoT devices as you fit wey dey your house, school or workplace - e fit plenty pass wetin you think!
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/2)
+
+## Review & Self Study
+
+Read about di benefits and problems of consumer IoT projects. Check news sites for articles about when e don go wrong, like privacy issues, hardware problems or problems wey dey caused by lack of connectivity.
+
+Some examples:
+
+* Check di Twitter account **[Internet of Sh*t](https://twitter.com/internetofshit)** *(profanity warning)* for some good examples of problems with consumer IoT.
+* [c|net - My Apple Watch saved my life: 5 people share their stories](https://www.cnet.com/news/apple-watch-lifesaving-health-features-read-5-peoples-stories/)
+* [c|net - ADT technician pleads guilty to spying on customer camera feeds for years](https://www.cnet.com/news/adt-home-security-technician-pleads-guilty-to-spying-on-customer-camera-feeds-for-years/) *(trigger warning - non-consensual voyeurism)*
+
+## Assignment
+
+[Investigate an IoT project](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/assignment.md b/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/assignment.md
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@@ -0,0 +1,29 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "7ef1cec2d27b086032d46ab1958f3e99",
+  "translation_date": "2025-11-18T18:34:39+00:00",
+  "source_file": "1-getting-started/lessons/1-introduction-to-iot/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Investigate IoT project
+
+## Instructions
+
+Plenty big and small IoT project dey happen for di world, from smart farm to smart city, for healthcare monitoring, transport, and how people dey use public space.
+
+Search internet for one project wey you like, e good make e dey near where you dey live. Talk about di good side and di bad side of di project, like wetin e dey benefit, any wahala wey e dey cause and how dem dey take care of privacy.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Explain di good side and bad side | Explain di good side and bad side of di project well well | Explain di good side and bad side small | No explain di good side or di bad side |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/pi.md b/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/pi.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "8ff0d0a1d29832bb896b9c103b69a452",
+  "translation_date": "2025-11-18T18:31:16+00:00",
+  "source_file": "1-getting-started/lessons/1-introduction-to-iot/pi.md",
+  "language_code": "pcm"
+}
+-->
+# Raspberry Pi
+
+[Raspberry Pi](https://raspberrypi.org) na one small computer wey dey one board. You fit add sensors and actuators join am using plenty different devices and ecosystems, and for dis lessons we go use one hardware ecosystem wey dem dey call [Grove](https://www.seeedstudio.com/category/Grove-c-1003.html). You go write code for your Pi and use Python take access the Grove sensors.
+
+![A Raspberry Pi 4](../../../../../translated_images/raspberry-pi-4.fd4590d308c3d456db1327e86b395ddcd735513267aafd4879ea2785f7792eac.pcm.jpg)
+
+## Setup
+
+If you dey use Raspberry Pi as your IoT hardware, you get two options - you fit do all dis lessons and write code directly for the Pi, or you fit connect am remotely to one 'headless' Pi and write code from your computer.
+
+Before you start, you go need connect the Grove Base Hat to your Pi.
+
+### Task - setup
+
+Install the Grove base hat for your Pi and configure the Pi
+
+1. Connect the Grove base hat to your Pi. The socket for the hat go cover all the GPIO pins for the Pi, e go slide go down the pins well well make e sit tight for the base. E go dey on top the Pi, cover am.
+
+    ![Fitting the grove hat](../../../../../images/pi-grove-hat-fitting.gif)
+
+1. Decide how you wan program your Pi, then go the section wey match your choice:
+
+    * [Work directly on your Pi](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+    * [Remote access to code the Pi](../../../../../1-getting-started/lessons/1-introduction-to-iot)
+
+### Work directly on your Pi
+
+If you wan work directly for your Pi, you fit use the desktop version of Raspberry Pi OS and install all the tools wey you need.
+
+#### Task - work directly on your Pi
+
+Set up your Pi for development.
+
+1. Follow the instructions for the [Raspberry Pi setup guide](https://projects.raspberrypi.org/en/projects/raspberry-pi-setting-up) to set up your Pi, connect am to keyboard/mouse/monitor, connect am to your WiFi or ethernet network, and update the software.
+
+To program the Pi using the Grove sensors and actuators, you go need install one editor wey go allow you write the device code, and some libraries and tools wey go work with the Grove hardware.
+
+1. After your Pi don reboot, open the Terminal by clicking the **Terminal** icon for the top menu bar, or choose *Menu -> Accessories -> Terminal*
+
+1. Run dis command to make sure say the OS and software wey dey installed dey up to date:
+
+    ```sh
+    sudo apt update && sudo apt full-upgrade --yes
+    ```
+
+1. Run dis commands to install all the libraries wey you need for the Grove hardware:
+
+    ```sh
+    sudo apt install git python3-dev python3-pip --yes
+
+    git clone https://github.com/Seeed-Studio/grove.py
+    cd grove.py
+    sudo pip3 install .
+
+    sudo raspi-config nonint do_i2c 0
+    ```
+
+    Dis one go first install Git, plus Pip wey you go use install Python packages.
+
+    One strong feature wey Python get na say you fit install [Pip packages](https://pypi.org) - dis na code wey other people don write and put for Internet. You fit install one Pip package for your computer with one command, then use am for your code.
+
+    The Seeed Grove Python packages need make you install am from source. Dis commands go clone the repo wey get the source code for dis package, then install am locally.
+
+    > 💁 Normally, when you install one package e go dey available everywhere for your computer, but dis fit cause wahala with package versions - like one application wey need one version of package wey go break if you install new version for another application. To avoid dis wahala, you fit use [Python virtual environment](https://docs.python.org/3/library/venv.html), wey be like copy of Python for one folder, and when you install Pip packages dem go dey only for dat folder. But for dis Pi setup, you no go use virtual environments. The Grove install script go install the Grove Python packages globally, so if you wan use virtual environment, you go need set am up then manually re-install the Grove packages inside dat environment. E dey easier to just use global packages, especially as plenty Pi developers dey re-flash clean SD card for each project.
+
+    Finally, dis go enable the I<sup>2</sup>C interface.
+
+1. Reboot the Pi either by using the menu or running dis command for the Terminal:
+
+    ```sh
+    sudo reboot
+    ```
+
+1. After the Pi don reboot, open the Terminal again and run dis command to install [Visual Studio Code (VS Code)](https://code.visualstudio.com?WT.mc_id=academic-17441-jabenn) - dis na the editor wey you go use write your device code for Python.
+
+    ```sh
+    sudo apt install code
+    ```
+
+    After you don install am, VS Code go dey available for the top menu.
+
+    > 💁 You fit use any Python IDE or editor for dis lessons if you get one wey you like, but the lessons go dey based on VS Code.
+
+1. Install Pylance. Dis na extension for VS Code wey dey provide Python language support. Check the [Pylance extension documentation](https://marketplace.visualstudio.com/items?WT.mc_id=academic-17441-jabenn&itemName=ms-python.vscode-pylance) for instructions on how to install dis extension for VS Code.
+
+### Remote access to code the Pi
+
+Instead of coding directly for the Pi, e fit run 'headless', wey mean say e no go connect to keyboard/mouse/monitor, and you go configure and code am from your computer, using Visual Studio Code.
+
+#### Set up the Pi OS
+
+To code remotely, the Pi OS need dey installed for one SD Card.
+
+##### Task - set up the Pi OS
+
+Set up the headless Pi OS.
+
+1. Download the **Raspberry Pi Imager** from the [Raspberry Pi OS software page](https://www.raspberrypi.org/software/) and install am
+
+1. Put one SD card inside your computer, use adapter if e dey necessary
+
+1. Open the Raspberry Pi Imager
+
+1. For the Raspberry Pi Imager, click the **CHOOSE OS** button, then select *Raspberry Pi OS (Other)*, followed by *Raspberry Pi OS Lite (32-bit)*
+
+    ![The Raspberry Pi Imager with Raspberry Pi OS Lite selected](../../../../../translated_images/raspberry-pi-imager.24aedeab9e233d841a1504ed7cfeb871b1f8e1134cfcd8370e7f60a092056be2.pcm.png)
+
+    > 💁 Raspberry Pi OS Lite na version of Raspberry Pi OS wey no get desktop UI or UI based tools. You no need dis ones for headless Pi and e go make the install small and boot up time fast.
+
+1. Click the **CHOOSE STORAGE** button, then select your SD card
+
+1. Open the **Advanced Options** by pressing `Ctrl+Shift+X`. Dis options go allow you pre-configure the Raspberry Pi OS before e go dey written to the SD card.
+
+    1. Check the **Enable SSH** check box, and set password for the `pi` user. Dis na the password wey you go use log in to the Pi later.
+
+    1. If you wan connect the Pi over WiFi, check the **Configure WiFi** check box, and enter your WiFi SSID and password, plus select your WiFi country. You no need do dis if you go use ethernet cable. Make sure say the network wey you connect to na the same one wey your computer dey.
+
+    1. Check the **Set locale settings** check box, and set your country and timezone
+
+    1. Click the **SAVE** button
+
+1. Click the **WRITE** button to write the OS to the SD card. If you dey use macOS, e go ask you to enter your password because the tool wey dey write disk images need privileged access.
+
+The OS go dey written to the SD card, and when e finish the card go eject by the OS, and e go notify you. Remove the SD card from your computer, put am inside the Pi, power up the Pi and wait like 2 mins make e boot well.
+
+#### Connect to the Pi
+
+The next step na to access the Pi remotely. You fit do dis using `ssh`, wey dey available for macOS, Linux and recent Windows versions.
+
+##### Task - connect to the Pi
+
+Access the Pi remotely.
+
+1. Open Terminal or Command Prompt, and enter dis command to connect to the Pi:
+
+    ```sh
+    ssh pi@raspberrypi.local
+    ```
+
+    If you dey use Windows wey no get `ssh` installed, you fit use OpenSSH. You fit find the installation instructions for the [OpenSSH installation documentation](https://docs.microsoft.com//windows-server/administration/openssh/openssh_install_firstuse?WT.mc_id=academic-17441-jabenn).
+
+1. Dis go connect to your Pi and ask for the password.
+
+    To find computers for your network using `<hostname>.local` na new feature for Linux and Windows. If you dey use Linux or Windows and you see error say Hostname no dey found, you go need install extra software to enable ZeroConf networking (Apple dey call am Bonjour):
+
+    1. If you dey use Linux, install Avahi using dis command:
+
+        ```sh
+        sudo apt-get install avahi-daemon
+        ```
+
+    1. If you dey use Windows, the easiest way to enable ZeroConf na to install [Bonjour Print Services for Windows](http://support.apple.com/kb/DL999). You fit also install [iTunes for Windows](https://www.apple.com/itunes/download/) to get newer version of the utility (wey no dey available standalone).
+
+    > 💁 If you no fit connect using `raspberrypi.local`, you fit use the IP address of your Pi. Check the [Raspberry Pi IP address documentation](https://www.raspberrypi.org/documentation/remote-access/ip-address.md) for instructions on different ways to get the IP address.
+
+1. Enter the password wey you set for the Raspberry Pi Imager Advanced Options
+
+#### Configure software on the Pi
+
+After you don connect to the Pi, you go need make sure say the OS dey up to date, and install some libraries and tools wey go work with the Grove hardware.
+
+##### Task - configure software on the Pi
+
+Configure the installed Pi software and install the Grove libraries.
+
+1. From your `ssh` session, run dis command to update then reboot the Pi:
+
+    ```sh
+    sudo apt update && sudo apt full-upgrade --yes && sudo reboot
+    ```
+
+    The Pi go update and reboot. The `ssh` session go end when the Pi reboot, so leave am for like 30 seconds then reconnect.
+
+1. From the reconnected `ssh` session, run dis commands to install all the libraries wey you need for the Grove hardware:
+
+    ```sh
+    sudo apt install git python3-dev python3-pip --yes
+
+    git clone https://github.com/Seeed-Studio/grove.py
+    cd grove.py
+    sudo pip3 install .
+
+    sudo raspi-config nonint do_i2c 0
+    ```
+
+    Dis one go first install Git, plus Pip wey you go use install Python packages.
+
+    One strong feature wey Python get na say you fit install [Pip packages](https://pypi.org) - dis na code wey other people don write and put for Internet. You fit install one Pip package for your computer with one command, then use am for your code.
+
+    The Seeed Grove Python packages need make you install am from source. Dis commands go clone the repo wey get the source code for dis package, then install am locally.
+
+    > 💁 Normally, when you install one package e go dey available everywhere for your computer, but dis fit cause wahala with package versions - like one application wey need one version of package wey go break if you install new version for another application. To avoid dis wahala, you fit use [Python virtual environment](https://docs.python.org/3/library/venv.html), wey be like copy of Python for one folder, and when you install Pip packages dem go dey only for dat folder. But for dis Pi setup, you no go use virtual environments. The Grove install script go install the Grove Python packages globally, so if you wan use virtual environment, you go need set am up then manually re-install the Grove packages inside dat environment. E dey easier to just use global packages, especially as plenty Pi developers dey re-flash clean SD card for each project.
+
+    Finally, dis go enable the I<sup>2</sup>C interface.
+
+1. Reboot the Pi by running dis command:
+
+    ```sh
+    sudo reboot
+    ```
+
+    The `ssh` session go end when the Pi reboot. You no need reconnect.
+
+#### Configure VS Code for remote access
+
+After the Pi don configure, you fit connect to am using Visual Studio Code (VS Code) from your computer - dis na free developer text editor wey you go use write your device code for Python.
+
+##### Task - configure VS Code for remote access
+
+Install the software wey you need and connect remotely to your Pi.
+
+1. Install VS Code for your computer by following the [VS Code documentation](https://code.visualstudio.com?WT.mc_id=academic-17441-jabenn)
+
+1. Follow the instructions for the [VS Code Remote Development using SSH documentation](https://code.visualstudio.com/docs/remote/ssh?WT.mc_id=academic-17441-jabenn) to install the components wey you need
+
+1. Follow the same instructions, connect VS Code to the Pi
+1. Once you don connect, follow di [managing extensions](https://code.visualstudio.com/docs/remote/ssh#_managing-extensions?WT.mc_id=academic-17441-jabenn) instructions to install di [Pylance extension](https://marketplace.visualstudio.com/items?WT.mc_id=academic-17441-jabenn&itemName=ms-python.vscode-pylance) for di Pi.
+
+## Hello world
+
+E dey normal wen person dey start wit new programming language or technology to create 'Hello World' app - one small app wey go show text like `"Hello World"` to confirm say all di tools dey set well.
+
+Di Hello World app for di Pi go make sure say Python and Visual Studio Code dey install well.
+
+Dis app go dey inside one folder wey dem call `nightlight`, and we go use am again wit different code for di later parts of dis assignment to build di nightlight app.
+
+### Task - hello world
+
+Make di Hello World app.
+
+1. Open VS Code, either directly for di Pi, or for your computer wey don connect to di Pi wit di Remote SSH extension.
+
+1. Open di VS Code Terminal by selecting *Terminal -> New Terminal, or pressing `` CTRL+` ``. E go open for di `pi` user home directory.
+
+1. Run di commands wey dey below to create one directory for your code, and create one Python file wey dem call `app.py` inside di directory:
+
+    ```sh
+    mkdir nightlight
+    cd nightlight
+    touch app.py
+    ```
+
+1. Open dis folder for VS Code by selecting *File -> Open...* and selecting di *nightlight* folder, then select **OK**
+
+    ![Di VS Code open dialog wey dey show di nightlight folder](../../../../../translated_images/vscode-open-nightlight-remote.d3d2a4011e30d535c4b70084f6e94bf6b5b1327fd8e77affe64465ac151ee766.pcm.png)
+
+1. Open di `app.py` file from di VS Code explorer and add di code wey dey below:
+
+    ```python
+    print('Hello World!')
+    ```
+
+    Di `print` function dey print anything wey dem pass give am for di console.
+
+1. From di VS Code Terminal, run di command wey dey below to run your Python app:
+
+    ```sh
+    python app.py
+    ```
+
+    > 💁 You fit need to call `python3` directly to run dis code if Python 2 dey your system join Python 3 (di latest version). If Python 2 dey your system, calling `python` go use Python 2 instead of Python 3. Normally, di latest Raspberry Pi OS versions dey only get Python 3.
+
+    Di output wey dey below go show for di terminal:
+
+    ```output
+    pi@raspberrypi:~/nightlight $ python3 app.py
+    Hello World!
+    ```
+
+> 💁 You fit find dis code for di [code/pi](../../../../../1-getting-started/lessons/1-introduction-to-iot/code/pi) folder.
+
+😀 Your 'Hello World' program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say machine transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transleshion dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md b/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md
new file mode 100644
index 000000000..0925a4b29
--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md
@@ -0,0 +1,247 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "52b4de6144b2efdced7797a5339d6035",
+  "translation_date": "2025-11-18T18:32:44+00:00",
+  "source_file": "1-getting-started/lessons/1-introduction-to-iot/virtual-device.md",
+  "language_code": "pcm"
+}
+-->
+# Virtual single-board computer
+
+Instead of to buy IoT device, plus sensors and actuators, you fit use your computer take do simulation for IoT hardware. The [CounterFit project](https://github.com/CounterFit-IoT/CounterFit) go allow you run app for your computer wey go simulate IoT hardware like sensors and actuators, and you fit access the sensors and actuators from Python code wey you write for your computer, same way you go write am for Raspberry Pi wey dey use physical hardware.
+
+## Setup
+
+To use CounterFit, you go need install some free software for your computer.
+
+### Task
+
+Install the software wey you need.
+
+1. Install Python. Check the [Python downloads page](https://www.python.org/downloads/) for how you go fit install the latest version of Python.
+
+1. Install Visual Studio Code (VS Code). Na this editor you go use write your virtual device code for Python. Check the [VS Code documentation](https://code.visualstudio.com?WT.mc_id=academic-17441-jabenn) for how you go fit install VS Code.
+
+    > 💁 You fit use any Python IDE or editor wey you like for these lessons if you get one wey you prefer, but the lessons go dey base on how to use VS Code.
+
+1. Install the VS Code Pylance extension. Na extension for VS Code wey dey provide Python language support. Check the [Pylance extension documentation](https://marketplace.visualstudio.com/items?WT.mc_id=academic-17441-jabenn&itemName=ms-python.vscode-pylance) for how you go fit install this extension for VS Code.
+
+The instructions to install and configure the CounterFit app go dey for the assignment instructions when e reach time to install am, as e dey installed per project.
+
+## Hello world
+
+E dey normal when you dey start new programming language or technology to create 'Hello World' application - small app wey go show text like `"Hello World"` to confirm say all the tools dey work well.
+
+The Hello World app for the virtual IoT hardware go make sure say you don install Python and Visual Studio Code well. E go also connect to CounterFit for the virtual IoT sensors and actuators. E no go use any hardware, e go just connect to show say everything dey work.
+
+This app go dey inside folder wey dem call `nightlight`, and e go dey reused with different code for later parts of this assignment to build the nightlight application.
+
+### Configure Python virtual environment
+
+One better thing wey Python get na the ability to install [Pip packages](https://pypi.org) - these na packages of code wey other people don write and put for Internet. You fit install Pip package for your computer with one command, then use the package for your code. You go use Pip install package wey go help you talk to CounterFit.
+
+Normally, when you install package, e go dey available everywhere for your computer, and this fit cause wahala with package versions - like one app wey need one version of package wey go break if you install new version for another app. To avoid this wahala, you fit use [Python virtual environment](https://docs.python.org/3/library/venv.html), wey be like copy of Python for one folder, and when you install Pip packages, dem go dey only for that folder.
+
+> 💁 If you dey use Raspberry Pi, you no go set up virtual environment for that device to manage Pip packages, instead you go dey use global packages, as the Grove packages dey installed globally by the installer script.
+
+#### Task - configure Python virtual environment
+
+Set up Python virtual environment and install the Pip packages for CounterFit.
+
+1. From your terminal or command line, run this command for any location wey you choose to create and enter new directory:
+
+    ```sh
+    mkdir nightlight
+    cd nightlight
+    ```
+
+1. Run this command to create virtual environment for `.venv` folder:
+
+    ```sh
+    python3 -m venv .venv
+    ```
+
+    > 💁 You need to call `python3` directly to create the virtual environment in case you get Python 2 installed along with Python 3 (the latest version). If you get Python 2 installed, calling `python` go use Python 2 instead of Python 3.
+
+1. Activate the virtual environment:
+
+    * For Windows:
+        * If you dey use Command Prompt, or Command Prompt through Windows Terminal, run:
+
+            ```cmd
+            .venv\Scripts\activate.bat
+            ```
+
+        * If you dey use PowerShell, run:
+
+            ```powershell
+            .\.venv\Scripts\Activate.ps1
+            ```
+
+            > If you see error wey talk say running scripts dey disabled for this system, you go need enable running scripts by setting correct execution policy. You fit do this by opening PowerShell as administrator, then run this command:
+
+            ```powershell
+            Set-ExecutionPolicy -ExecutionPolicy Unrestricted
+            ```
+
+            Enter `Y` when dem ask you to confirm. Then open PowerShell again and try am.
+
+            You fit reset this execution policy later if you need. You fit read more about this for [Execution Policies page on Microsoft Docs](https://docs.microsoft.com/powershell/module/microsoft.powershell.core/about/about_execution_policies?WT.mc_id=academic-17441-jabenn).
+
+    * For macOS or Linux, run:
+
+        ```cmd
+        source ./.venv/bin/activate
+        ```
+
+    > 💁 Make sure say you run these commands from the same location wey you run the command to create the virtual environment. You no go ever need enter the `.venv` folder, you go always run the activate command and any commands to install packages or run code from the folder wey you dey when you create the virtual environment.
+
+1. Once you don activate the virtual environment, the default `python` command go run the version of Python wey dem use create the virtual environment. Run this command to check the version:
+
+    ```sh
+    python --version
+    ```
+
+    The output go show this:
+
+    ```output
+    (.venv) ➜  nightlight python --version
+    Python 3.9.1
+    ```
+
+    > 💁 Your Python version fit dey different - as long as e be version 3.6 or higher, you dey okay. If not, delete this folder, install newer version of Python and try again.
+
+1. Run these commands to install the Pip packages for CounterFit. These packages include the main CounterFit app plus shims for Grove hardware. These shims go allow you write code as if you dey program physical sensors and actuators from the Grove ecosystem but connected to virtual IoT devices.
+
+    ```sh
+    pip install CounterFit
+    pip install counterfit-connection
+    pip install counterfit-shims-grove
+    ```
+
+    These pip packages go dey installed only for the virtual environment, and dem no go dey available outside.
+
+### Write the code
+
+Once the Python virtual environment don ready, you fit write the code for the 'Hello World' application.
+
+#### Task - write the code
+
+Create Python app wey go print `"Hello World"` for the console.
+
+1. From your terminal or command line, run this command inside the virtual environment to create Python file wey dem call `app.py`:
+
+    * For Windows run:
+
+        ```cmd
+        type nul > app.py
+        ```
+
+    * For macOS or Linux, run:
+
+        ```cmd
+        touch app.py
+        ```
+
+1. Open the current folder for VS Code:
+
+    ```sh
+    code .
+    ```
+
+    > 💁 If your terminal talk say `command not found` for macOS, e mean say VS Code never dey added to your PATH. You fit add VS Code to your PATH by following the instructions for [Launching from the command line section of the VS Code documentation](https://code.visualstudio.com/docs/setup/mac?WT.mc_id=academic-17441-jabenn#_launching-from-the-command-line) and run the command again. VS Code dey added to your PATH by default for Windows and Linux.
+
+1. When VS Code open, e go activate the Python virtual environment. The selected virtual environment go show for the bottom status bar:
+
+    ![VS Code showing the selected virtual environment](../../../../../translated_images/vscode-virtual-env.8ba42e04c3d533cf677e16cbe5ed9a3b80f62c6964472dc84b6f940800f0909f.pcm.png)
+
+1. If the VS Code Terminal dey already open when VS Code start, e no go activate the virtual environment for the terminal. The easiest way na to kill the terminal using the **Kill the active terminal instance** button:
+
+    ![VS Code Kill the active terminal instance button](../../../../../translated_images/vscode-kill-terminal.1cc4de7c6f25ee08f423f0ead714e61d069fac1eb2089e97b8a7bbcb3d45fe5e.pcm.png)
+
+    You fit know if the terminal don activate the virtual environment as the name of the virtual environment go dey as prefix for the terminal prompt. For example, e fit be:
+
+    ```sh
+    (.venv) ➜  nightlight
+    ```
+
+    If `.venv` no dey as prefix for the prompt, e mean say the virtual environment no dey active for the terminal.
+
+1. Open new VS Code Terminal by selecting *Terminal -> New Terminal*, or press `` CTRL+` ``. The new terminal go load the virtual environment, and the call to activate am go show for the terminal. The prompt go also get the name of the virtual environment (`.venv`):
+
+    ```output
+    ➜  nightlight source .venv/bin/activate
+    (.venv) ➜  nightlight 
+    ```
+
+1. Open the `app.py` file from the VS Code explorer and add this code:
+
+    ```python
+    print('Hello World!')
+    ```
+
+    The `print` function go print anything wey you pass to am for the console.
+
+1. From the VS Code terminal, run this command to run your Python app:
+
+    ```sh
+    python app.py
+    ```
+
+    The output go show this:
+
+    ```output
+    (.venv) ➜  nightlight python app.py 
+    Hello World!
+    ```
+
+😀 Your 'Hello World' program don work!
+
+### Connect the 'hardware'
+
+As second 'Hello World' step, you go run the CounterFit app and connect your code to am. This na the virtual way to plug IoT hardware to dev kit.
+
+#### Task - connect the 'hardware'
+
+1. From the VS Code terminal, start the CounterFit app with this command:
+
+    ```sh
+    counterfit
+    ```
+
+    The app go start to run and open for your web browser:
+
+    ![The Counter Fit app running in a browser](../../../../../translated_images/counterfit-first-run.433326358b669b31d0e99c3513cb01bfbb13724d162c99cdcc8f51ecf5f9c779.pcm.png)
+
+    E go show as *Disconnected*, with the LED for the top-right corner off.
+
+1. Add this code to the top of `app.py`:
+
+    ```python
+    from counterfit_connection import CounterFitConnection
+    CounterFitConnection.init('127.0.0.1', 5000)
+    ```
+
+    This code go import the `CounterFitConnection` class from the `counterfit_connection` module, wey come from the `counterfit-connection` pip package wey you don install before. E go then initialize connection to the CounterFit app wey dey run for `127.0.0.1`, wey be IP address wey you fit always use to access your computer (dem dey call am *localhost*), for port 5000.
+
+    > 💁 If you get other apps wey dey run for port 5000, you fit change am by updating the port for the code, and run CounterFit using `CounterFit --port <port_number>`, replace `<port_number>` with the port wey you wan use.
+
+1. You go need open new VS Code terminal by selecting the **Create a new integrated terminal** button. This na because the CounterFit app dey run for the current terminal.
+
+    ![VS Code Create a new integrated terminal button](../../../../../translated_images/vscode-new-terminal.77db8fc0f9cd31824b0e49a201beafe4ae4616d6c7339992cb2819e789b3eff9.pcm.png)
+
+1. For this new terminal, run the `app.py` file like before. The status of CounterFit go change to **Connected** and the LED go light up.
+
+    ![Counter Fit showing as connected](../../../../../translated_images/counterfit-connected.ed30b46d8f79b0921f3fc70be10366e596a89dca3f80c2224a9d9fc98fccf884.pcm.png)
+
+> 💁 You fit find this code for the [code/virtual-device](../../../../../1-getting-started/lessons/1-introduction-to-iot/code/virtual-device) folder.
+
+😀 Your connection to the hardware don work!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am correct, abeg make you sabi say transleshion wey machine do fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md b/translations/pcm/1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,224 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "a4f0c166010e31fd7b6ca20bc88dec6d",
+  "translation_date": "2025-11-18T18:35:40+00:00",
+  "source_file": "1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md",
+  "language_code": "pcm"
+}
+-->
+# Wio Terminal
+
+Di [Wio Terminal wey Seeed Studios make](https://www.seeedstudio.com/Wio-Terminal-p-4509.html) na Arduino-compatible microcontroller, wey get WiFi, some sensors, and actuators wey dem don already put inside. E still get ports wey you fit use add more sensors and actuators, using one hardware ecosystem wey dem dey call [Grove](https://www.seeedstudio.com/category/Grove-c-1003.html).
+
+![A Seeed studios Wio Terminal](../../../../../translated_images/wio-terminal.b8299ee16587db9aa9e05fabf9721bccd9eb8fb541b7c1a8267241282d81b603.pcm.png)
+
+## Setup
+
+To use di Wio Terminal, you go need install some free software for your computer. You go also need update di Wio Terminal firmware before you fit connect am to WiFi.
+
+### Task - setup
+
+Install di software wey you need and update di firmware.
+
+1. Install Visual Studio Code (VS Code). Na di editor wey you go use write your device code for C/C++. Check di [VS Code documentation](https://code.visualstudio.com?WT.mc_id=academic-17441-jabenn) to see how you fit install VS Code.
+
+    > 💁 Another IDE wey people dey use for Arduino development na di [Arduino IDE](https://www.arduino.cc/en/software). If you sabi use dis tool already, you fit use am instead of VS Code and PlatformIO, but di lessons go dey based on how to use VS Code.
+
+1. Install di VS Code PlatformIO extension. Dis extension dey support programming microcontrollers for C/C++. Check di [PlatformIO extension documentation](https://marketplace.visualstudio.com/items?WT.mc_id=academic-17441-jabenn&itemName=platformio.platformio-ide) to see how you fit install dis extension for VS Code. Dis extension dey depend on di Microsoft C/C++ extension to work with C and C++ code, and di C/C++ extension go install automatically when you install PlatformIO.
+
+1. Connect your Wio Terminal to your computer. Di Wio Terminal get USB-C port for di bottom, and you go need connect am to one USB port for your computer. Di Wio Terminal dey come with USB-C to USB-A cable, but if your computer only get USB-C ports, you go need USB-C cable or USB-A to USB-C adapter.
+
+1. Follow di instructions for di [Wio Terminal Wiki WiFi Overview documentation](https://wiki.seeedstudio.com/Wio-Terminal-Network-Overview/) to setup your Wio Terminal and update di firmware.
+
+## Hello world
+
+E dey normal when you dey start with new programming language or technology to create one 'Hello World' app - one small app wey go show text like `"Hello World"` to confirm say all di tools dey work well.
+
+Di Hello World app for Wio Terminal go make sure say you don install Visual Studio Code well with PlatformIO and e dey ready for microcontroller development.
+
+### Create a PlatformIO project
+
+Di first step na to create new project using PlatformIO wey dem don configure for Wio Terminal.
+
+#### Task - create a PlatformIO project
+
+Create di PlatformIO project.
+
+1. Connect di Wio Terminal to your computer.
+
+1. Open VS Code.
+
+1. You go see di PlatformIO icon for di side menu bar:
+
+    ![The Platform IO menu option](../../../../../translated_images/vscode-platformio-menu.297be26b9733e5c4635d9d8e636e93fed2015809eafb7cc8fd409c37b3ef2ef5.pcm.png)
+
+    Select dis menu item, then select *PIO Home -> Open*
+
+    ![The Platform IO open option](../../../../../translated_images/vscode-platformio-home-open.3f9a41bfd3f4da1c866ec3e69f1675faa30b823b5b58ab58ac88e5df9a85da19.pcm.png)
+
+1. From di welcome screen, select di **+ New Project** button.
+
+    ![The new project button](../../../../../translated_images/vscode-platformio-welcome-new-button.ba6fc8a4c7b78cc822e1ce47ba29c5db96668cce7c5f4adbfd2f1196422baa26.pcm.png)
+
+1. Configure di project for di *Project Wizard*:
+
+    1. Name your project `nightlight`.
+
+    1. For di *Board* dropdown, type `WIO` to filter di boards, then select *Seeeduino Wio Terminal*.
+
+    1. Leave di *Framework* as *Arduino*.
+
+    1. Either leave di *Use default location* checkbox checked, or uncheck am and select location for your project.
+
+    1. Select di **Finish** button.
+
+    ![The completed project wizard](../../../../../translated_images/vscode-platformio-nightlight-project-wizard.5c64db4da6037420827c2597507897233457210ee23975711fa2285efdcd0dc7.pcm.png)
+
+    PlatformIO go download di components wey e need to compile code for di Wio Terminal and create your project. E fit take small time.
+
+### Investigate di PlatformIO project
+
+Di VS Code explorer go show plenty files and folders wey di PlatformIO wizard create.
+
+#### Folders
+
+* `.pio` - dis folder dey hold temporary data wey PlatformIO need like libraries or compiled code. If you delete am, e go recreate am automatically. You no need add am to source code control if you wan share your project for places like GitHub.
+* `.vscode` - dis folder dey hold di configuration wey PlatformIO and VS Code dey use. If you delete am, e go recreate am automatically. You no need add am to source code control if you wan share your project for places like GitHub.
+* `include` - dis folder na for external header files wey you go need if you wan add extra libraries to your code. You no go use dis folder for dis lessons.
+* `lib` - dis folder na for external libraries wey you wan call from your code. You no go use dis folder for dis lessons.
+* `src` - dis folder dey hold di main source code for your app. Initially, e go get only one file - `main.cpp`.
+* `test` - dis folder na where you go put any unit tests for your code.
+
+#### Files
+
+* `main.cpp` - dis file dey inside di `src` folder and e dey hold di entry point for your app. Open dis file, and you go see dis code:
+
+    ```cpp
+    #include <Arduino.h>
+    
+    void setup() {
+      // put your setup code here, to run once:
+    }
+    
+    void loop() {
+      // put your main code here, to run repeatedly:
+    }
+    ```
+
+    When di device start, di Arduino framework go run di `setup` function once, then e go dey run di `loop` function again and again until you off di device.
+
+* `.gitignore` - dis file dey list di files and directories wey git no go add when you dey upload your code to places like GitHub.
+
+* `platformio.ini` - dis file dey hold di configuration for your device and app. Open dis file, and you go see dis code:
+
+    ```ini
+    [env:seeed_wio_terminal]
+    platform = atmelsam
+    board = seeed_wio_terminal
+    framework = arduino
+    ```
+
+    Di `[env:seeed_wio_terminal]` section dey hold di configuration for di Wio Terminal. You fit get multiple `env` sections so your code fit compile for different boards.
+
+    Di other values dey match di configuration wey you set for di project wizard:
+
+  * `platform = atmelsam` dey define di hardware wey di Wio Terminal dey use (ATSAMD51-based microcontroller).
+  * `board = seeed_wio_terminal` dey define di type of microcontroller board (di Wio Terminal).
+  * `framework = arduino` dey show say dis project dey use di Arduino framework.
+
+### Write di Hello World app
+
+You don ready to write di Hello World app.
+
+#### Task - write di Hello World app
+
+Write di Hello World app.
+
+1. Open di `main.cpp` file for VS Code.
+
+1. Change di code to match dis one:
+
+    ```cpp
+    #include <Arduino.h>
+
+    void setup()
+    {
+        Serial.begin(9600);
+
+        while (!Serial)
+            ; // Wait for Serial to be ready
+    
+        delay(1000);
+    }
+    
+    void loop()
+    {
+        Serial.println("Hello World");
+        delay(5000);
+    }
+    ```
+
+    Di `setup` function dey initialize connection to di serial port - for dis case, na di USB port wey connect di Wio Terminal to your computer. Di parameter `9600` na di [baud rate](https://wikipedia.org/wiki/Symbol_rate), or di speed wey data go dey send for di serial port in bits per second. Dis setting mean say 9,600 bits (0s and 1s) of data go dey send every second. E go then wait make di serial port ready.
+
+    Di `loop` function go send di line `Hello World!` to di serial port, so di characters of `Hello World!` go show with new line character. E go then sleep for 5,000 milliseconds or 5 seconds. After di `loop` finish, e go run again, and again, and so on as long as di microcontroller dey on.
+
+1. Put your Wio Terminal for upload mode. You go need do dis every time you wan upload new code to di device:
+
+    1. Pull di power switch down two times quick-quick - e go spring back to di on position each time.
+
+    1. Check di blue status LED wey dey di right hand side of di USB port. E suppose dey pulse.
+
+    [![A video showing how to put the Wio Terminal into upload mode](https://img.youtube.com/vi/LeKU_7zLRrQ/0.jpg)](https://youtu.be/LeKU_7zLRrQ)
+    
+    Click di image above to watch video wey go show you how to do am.
+
+1. Build and upload di code to di Wio Terminal.
+
+    1. Open di VS Code command palette.
+
+    1. Type `PlatformIO Upload` to search for di upload option, then select *PlatformIO: Upload*.
+
+        ![The PlatformIO upload option in the command palette](../../../../../translated_images/vscode-platformio-upload-command-palette.9e0f49cf80d1f1c3eb5c6689b8705ad8b89f0374b21698e996fec11e4ed09347.pcm.png)
+
+        PlatformIO go automatically build di code if e need am before e upload.
+
+    1. Di code go compile and upload to di Wio Terminal.
+
+        > 💁 If you dey use macOS, you fit see notification about *DISK NOT EJECTED PROPERLY*. Na because di Wio Terminal dey mount as drive during di flashing process, and e go disconnect when di compiled code dey write to di device. You fit ignore dis notification.
+
+    ⚠️ If you see error say di upload port no dey available, first make sure say you don connect di Wio Terminal to your computer, and e dey on using di switch wey dey di left hand side of di screen, and e dey for upload mode. Di green light for di bottom suppose dey on, and di blue light suppose dey pulse. If di error still dey, pull di on/off switch down two times quick-quick again to force di Wio Terminal enter upload mode, then try upload again.
+
+PlatformIO get Serial Monitor wey fit monitor data wey dey send through di USB cable from di Wio Terminal. Dis one go allow you see di data wey di `Serial.println("Hello World");` command dey send.
+
+1. Open di VS Code command palette.
+
+1. Type `PlatformIO Serial` to search for di Serial Monitor option, then select *PlatformIO: Serial Monitor*.
+
+    ![The PlatformIO Serial Monitor option in the command palette](../../../../../translated_images/vscode-platformio-serial-monitor-command-palette.b348ec841b8a1c14af503d6fc0bf73c657c79c9acc12a6b6dd485ce3b5826f48.pcm.png)
+
+    New terminal go open, and di data wey dey send through di serial port go dey stream enter dis terminal:
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Hello World
+    Hello World
+    ```
+
+    `Hello World` go dey print for di serial monitor every 5 seconds.
+
+> 💁 You fit find dis code for di [code/wio-terminal](../../../../../1-getting-started/lessons/1-introduction-to-iot/code/wio-terminal) folder.
+
+😀 Your 'Hello World' program don work!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go trust. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/2-deeper-dive/README.md b/translations/pcm/1-getting-started/lessons/2-deeper-dive/README.md
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index 000000000..19c128cef
--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/2-deeper-dive/README.md
@@ -0,0 +1,280 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9dd7f645ad1c6f20b72fee512987f772",
+  "translation_date": "2025-11-18T18:36:25+00:00",
+  "source_file": "1-getting-started/lessons/2-deeper-dive/README.md",
+  "language_code": "pcm"
+}
+-->
+# A deeper dive into IoT
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-2.324b0580d620c25e0a24fb7fddfc0b29a846dd4b82c08e7a9466d580ee78ce51.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
+Dis lesson na part of di [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) wey dem teach for [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn). Di lesson na 2 videos - one 1 hour lesson, and one 1 hour office hour wey go deep into di lesson and answer questions.
+
+[![Lesson 2: A deeper dive into IoT](https://img.youtube.com/vi/t0SySWw3z9M/0.jpg)](https://youtu.be/t0SySWw3z9M)
+
+[![Lesson 2: A deeper dive into IoT - Office hours](https://img.youtube.com/vi/tTZYf9EST1E/0.jpg)](https://youtu.be/tTZYf9EST1E)
+
+> 🎥 Click di images above to watch di videos
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/3)
+
+## Introduction
+
+Dis lesson go explain more about some of di things wey we talk for di last lesson.
+
+For dis lesson we go talk about:
+
+* [Components of an IoT application](../../../../../1-getting-started/lessons/2-deeper-dive)
+* [Deeper dive into microcontrollers](../../../../../1-getting-started/lessons/2-deeper-dive)
+* [Deeper dive into single-board computers](../../../../../1-getting-started/lessons/2-deeper-dive)
+
+## Components of an IoT application
+
+Di two main parts of IoT application na di *Internet* and di *thing*. Make we look dem well.
+
+### The Thing
+
+![A Raspberry Pi 4](../../../../../translated_images/raspberry-pi-4.fd4590d308c3d456db1327e86b395ddcd735513267aafd4879ea2785f7792eac.pcm.jpg)
+
+Di **Thing** part of IoT na di device wey dey interact with di physical world. Dis devices dey small, cheap, and dey use low power - like microcontrollers wey get small RAM (kilobytes instead of gigabytes for PC) and dey run slow (hundreds of megahertz instead of gigahertz for PC). Dem fit use battery wey go last weeks, months or even years.
+
+Dis devices dey use sensors to collect data or actuators to make changes for di physical world. Example na smart thermostat - e get temperature sensor, touchscreen or dial to set temperature, and e dey connect to heating or cooling system. Di sensor go know say di room cold, then actuator go turn di heating on.
+
+![A diagram showing temperature and a dial as inputs to an IoT device, and control of a heater as an output](../../../../../translated_images/basic-thermostat.a923217fd1f37e5a6f3390396a65c22a387419ea2dd17e518ec24315ba6ae9a8.pcm.png)
+
+Plenty different things fit be IoT devices, from hardware wey dey sense one thing to general purpose devices like smartphone. Smartphone fit use sensors to know wetin dey happen around am, and actuators to interact with di world - like GPS to know your location and speaker to give you navigation instructions.
+
+✅ Think about other systems wey dey use sensor to read data and make decisions. Example na oven thermostat. Fit find more?
+
+### The Internet
+
+Di **Internet** part of IoT na di applications wey di IoT device dey connect to send and receive data, and other apps wey dey process di data and make decisions.
+
+One common setup na cloud service wey di IoT device dey connect to. Di cloud service dey handle security, receive messages from di device, and send messages back. Di cloud service fit connect to apps wey dey process or store sensor data, or use di data to make decisions.
+
+Sometimes, devices no dey connect directly to Internet. Dem fit use mesh networking like Bluetooth to talk to each other, then connect to Internet through hub device.
+
+For example, smart thermostat go connect to cloud service through home WiFi. E go send temperature data to di cloud, di cloud go store am for database wey di homeowner fit check with phone app. Another service go know di temperature wey di homeowner want, then send message back to di IoT device to turn heating system on or off.
+
+![A diagram showing temperature and a dial as inputs to an IoT device, the IoT device with 2 way communication to the cloud, which in turn has 2 way communication to a phone, and control of a heater as an output from the IoT device](../../../../../translated_images/mobile-controlled-thermostat.4a994010473d8d6a52ba68c67e5f02dc8928c717e93ca4b9bc55525aa75bbb60.pcm.png)
+
+Smarter version fit use AI for di cloud with data from other sensors like occupancy sensors, weather, and calendar to make better decisions. Example, e fit turn heating off if e see for your calendar say you dey vacation, or turn heating off for rooms wey you no dey use.
+
+![A diagram showing multiple temperature sensors and a dial as inputs to an IoT device, the IoT device with 2 way communication to the cloud, which in turn has 2 way communication to a phone, a calendar and a weather service, and control of a heater as an output from the IoT device](../../../../../translated_images/smarter-thermostat.a75855f15d2d9e63d5da9d7ba5847a987f6c9d98e96e770c203532275194e27d.pcm.png)
+
+✅ Wetin other data fit help make Internet connected thermostat smarter?
+
+### IoT on the Edge
+
+Even though IoT dey use Internet, di devices no always need Internet connection. Sometimes dem fit connect to 'edge' devices for local network to process data without Internet. Dis dey faster if data plenty or Internet slow, e fit work offline, and e dey keep data private. Some devices dey use cloud tools to create processing code wey go run locally.
+
+Example na smart home device like Apple HomePod, Amazon Alexa, or Google Home. Dem dey use AI models wey dem train for di cloud but dey run locally. Di device go 'wake up' when e hear certain word, then send your speech go Internet for processing. E go stop to send speech when e hear pause. Wetin you talk before di wake word and after e stop go dey private.
+
+✅ Think about other situations wey privacy dey important so e better make di processing dey happen for edge instead of cloud. Hint - think about IoT devices wey get camera or imaging devices.
+
+### IoT Security
+
+Any Internet connection need security. People dey joke say 'di S for IoT na Security' - meaning IoT no dey secure.
+
+IoT devices dey connect to cloud service, so di security na as strong as di cloud service. If di cloud service no secure, bad people fit send fake data or virus attack fit happen. Dis fit cause real world wahala as IoT devices dey control other devices. Example na [Stuxnet worm](https://wikipedia.org/wiki/Stuxnet) wey damage centrifuges. Hackers don also use [poor security to enter baby monitors](https://www.npr.org/sections/thetwo-way/2018/06/05/617196788/s-c-mom-says-baby-monitor-was-hacked-experts-say-many-devices-are-vulnerable) and other home surveillance devices.
+
+> 💁 Sometimes IoT devices and edge devices dey run for network wey no connect to Internet to keep di data private and secure. Dis na [air-gapping](https://wikipedia.org/wiki/Air_gap_(networking)).
+
+## Deeper dive into microcontrollers
+
+For di last lesson, we talk small about microcontrollers. Now make we go deep.
+
+### CPU
+
+Di CPU na di 'brain' of di microcontroller. E dey run your code and dey send and receive data from connected devices. CPUs fit get one or more cores wey dey work together to run your code.
+
+CPU dey use clock wey dey tick millions or billions of times per second. Each tick dey synchronize wetin di CPU dey do. Di CPU fit execute instruction like collect data or do calculation for each tick. Di faster di clock, di more instructions e fit process per second.
+
+Di speed of CPU dey measured in [Hertz (Hz)](https://wikipedia.org/wiki/Hertz), wey mean one cycle per second.
+
+> 🎓 CPU speed dey measured in MHz or GHz. 1MHz na 1 million Hz, 1GHz na 1 billion Hz.
+
+> 💁 CPUs dey run programs using [fetch-decode-execute cycle](https://wikipedia.org/wiki/Instruction_cycle). For each clock tick, di CPU go fetch instruction from memory, decode am, then execute am like add 2 numbers. Some instructions fit take multiple ticks.
+
+![The fetch decode execute cycles showing the fetch taking an instruction from the program stored in RAM, then decoding and executing it on a CPU](../../../../../translated_images/fetch-decode-execute.2fd6f150f6280392807f4475382319abd0cee0b90058e1735444d6baa6f2078c.pcm.png)
+
+Microcontrollers dey run slower than desktop or laptop computers or smartphones. Example, Wio Terminal CPU dey run at 120MHz or 120,000,000 cycles per second.
+
+✅ Di average PC or Mac CPU dey run at multiple GigaHertz with multiple cores. Research di clock speed of your computer and compare am with Wio Terminal.
+
+Each clock cycle dey use power and generate heat. Di faster di ticks, di more power e go use and di more heat e go generate. PCs dey use heat sinks and fans to cool down, but microcontrollers no dey need am as dem dey run cooler and slower. PCs dey use mains power or big batteries, microcontrollers fit use small batteries wey go last long. Some microcontrollers get cores wey dey run at different speeds to save power.
+
+> 💁 Some PCs and Macs don start to use di same mix of fast and slow cores to save battery. Example na M1 chip for Apple laptops wey fit switch between performance cores and efficiency cores.
+
+✅ Do small research: Read about CPUs for [Wikipedia CPU article](https://wikipedia.org/wiki/Central_processing_unit)
+
+#### Task
+
+Check di Wio Terminal.
+
+If you dey use Wio Terminal for dis lessons, try find di CPU. Look di *Hardware Overview* section for di [Wio Terminal product page](https://www.seeedstudio.com/Wio-Terminal-p-4509.html) for picture of di inside, and try find di CPU through di clear plastic window for di back.
+
+### Memory
+
+Microcontrollers dey get two types of memory - program memory and random-access memory (RAM).
+
+Program memory no dey lose wetin e store even if power no dey. Na di memory wey dey keep your program code.
+
+RAM na di memory wey di program dey use to run, e dey keep variables and data wey di program dey collect. RAM dey lose wetin e store if power no dey, e go reset di program.
+> 🎓 Program memory dey store your code and e no go disappear even if power no dey.
+
+> 🎓 RAM na wetin dem dey use run your program, but e go reset if power no dey.
+
+Just like CPU, memory wey dey inside microcontroller small well well compared to PC or Mac. Normal PC fit get like 8 Gigabytes (GB) of RAM, wey be 8,000,000,000 bytes, and each byte fit hold one letter or number from 0-255. But microcontroller go get only Kilobytes (KB) of RAM, and one kilobyte na 1,000 bytes. For example, the Wio terminal wey we talk about get 192KB of RAM, wey be 192,000 bytes - e small pass normal PC RAM by more than 40,000 times!
+
+The diagram wey dey below go show you how 192KB and 8GB take compare - that small dot for center na 192KB.
+
+![A comparison between 192KB and 8GB - more than 40,000 times larger](../../../../../translated_images/ram-comparison.6beb73541b42ac6ffde64cdf79fc925a84b932ce7ebd4d41d5fd7afc1257a696.pcm.png)
+
+Program storage for microcontroller sef small pass PC own. Normal PC fit get 500GB hard drive for program storage, but microcontroller fit get only kilobytes or maybe small megabytes (MB) of storage (1MB na 1,000KB, or 1,000,000 bytes). The Wio terminal get 4MB of program storage.
+
+✅ Do small research: How much RAM and storage your computer wey you dey use now get? How e take compare with microcontroller?
+
+### Input/Output
+
+Microcontrollers need input and output (I/O) connections to fit read data from sensors and send control signals to actuators. Dem dey usually get plenty general-purpose input/output (GPIO) pins. You fit configure these pins for software to be input (to receive signal) or output (to send signal).
+
+🧠⬅️ Input pins dey read values from sensors.
+
+🧠➡️ Output pins dey send instructions to actuators.
+
+✅ You go learn more about this one for next lesson.
+
+#### Task
+
+Check the Wio Terminal.
+
+If you dey use Wio Terminal for these lessons, find the GPIO pins. Check the *Pinout diagram* section for the [Wio Terminal product page](https://www.seeedstudio.com/Wio-Terminal-p-4509.html) to sabi which pin be which. The Wio Terminal get sticker wey you fit put for back wey get pin numbers, so if you never put am, do am now.
+
+### Physical size
+
+Microcontrollers dey usually small for size. The smallest one, [Freescale Kinetis KL03 MCU, small reach to fit inside golf ball dimple](https://www.edn.com/tiny-arm-cortex-m0-based-mcu-shrinks-package/). Just the CPU for PC fit measure 40mm x 40mm, and that one no even include the heat sinks and fans wey dem need to make sure the CPU no go overheat after some seconds. E big pass complete microcontroller well well. The Wio terminal developer kit wey get microcontroller, case, screen, and plenty connections and components no big pass bare Intel i9 CPU, and e small pass the CPU wey get heat sink and fan!
+
+| Device                          | Size                  |
+| ------------------------------- | --------------------- |
+| Freescale Kinetis KL03          | 1.6mm x 2mm x 1mm     |
+| Wio terminal                    | 72mm x 57mm x 12mm    |
+| Intel i9 CPU, Heat sink and fan | 136mm x 145mm x 103mm |
+
+### Frameworks and operating systems
+
+Because microcontrollers no fast and their memory small, dem no dey run operating system (OS) like desktop computer. The OS wey dey make your computer run (Windows, Linux or macOS) need plenty memory and processing power to run tasks wey microcontroller no need. Microcontrollers dey usually programmed to do one or two specific tasks, unlike general-purpose computer like PC or Mac wey fit do plenty things like user interface, play music or movies, write documents or code, play games, or browse Internet.
+
+To program microcontroller wey no get OS, you go need tools wey go help you build your code so the microcontroller fit run am, using APIs wey fit talk to any peripherals. Each microcontroller dey different, so manufacturers dey usually support standard frameworks wey go allow you follow standard 'recipe' to build your code and make am run for any microcontroller wey support that framework.
+
+You fit program microcontrollers with OS - dem dey call am real-time operating system (RTOS), because dem dey designed to handle sending data to and from peripherals in real time. These operating systems dey very light and dem dey provide features like:
+
+* Multi-threading, wey go allow your code run more than one block of code at the same time, either for multiple cores or by taking turns for one core.
+* Networking to allow communication over Internet securely.
+* Graphical user interface (GUI) components to build user interfaces (UI) for devices wey get screen.
+
+✅ Read about some different RTOSes: [Azure RTOS](https://azure.microsoft.com/services/rtos/?WT.mc_id=academic-17441-jabenn), [FreeRTOS](https://www.freertos.org), [Zephyr](https://www.zephyrproject.org)
+
+#### Arduino
+
+![The Arduino logo](../../../../../images/arduino-logo.svg)
+
+[Arduino](https://www.arduino.cc) na probably the most popular microcontroller framework, especially for students, hobbyists, and makers. Arduino na open source electronics platform wey combine software and hardware. You fit buy Arduino compatible boards from Arduino themselves or from other manufacturers, then code am using the Arduino framework.
+
+Arduino boards dey coded with C or C++. Using C/C++ go make your code small and fast, something wey microcontroller need because e no get plenty resources. The main part of Arduino application na sketch, and e be C/C++ code wey get 2 functions - `setup` and `loop`. When the board start, the Arduino framework go run the `setup` function once, then e go dey run the `loop` function again and again until you off the power.
+
+For `setup` function, you go write code like connecting to WiFi and cloud services or initializing pins for input and output. For `loop` function, you go write processing code like reading from sensor and sending the value to cloud. You fit add delay for each loop, for example, if you want make sensor data dey send every 10 seconds, you go add delay of 10 seconds for the end of the loop so the microcontroller go sleep, save power, then run the loop again after 10 seconds.
+
+![An arduino sketch running setup first, then running loop repeatedly](../../../../../translated_images/arduino-sketch.79590cb837ff7a7c6a68d1afda6cab83fd53d3bb1bd9a8bf2eaf8d693a4d3ea6.pcm.png)
+
+✅ This program architecture na wetin dem dey call *event loop* or *message loop*. Plenty applications dey use this method, and e be standard for most desktop applications wey dey run for OS like Windows, macOS or Linux. The `loop` dey listen for messages from user interface components like buttons, or devices like keyboard, and e dey respond to them. You fit read more for this [article on the event loop](https://wikipedia.org/wiki/Event_loop).
+
+Arduino dey provide standard libraries to interact with microcontrollers and the I/O pins, with different implementations under the hood to run for different microcontrollers. For example, the [`delay` function](https://www.arduino.cc/reference/en/language/functions/time/delay/) go pause the program for some time, the [`digitalRead` function](https://www.arduino.cc/reference/en/language/functions/digital-io/digitalread/) go read value of `HIGH` or `LOW` from the pin wey you give am, no matter the board wey the code dey run on. These standard libraries mean say Arduino code wey you write for one board fit run for another Arduino board if the pins and features dey the same.
+
+Plenty third-party Arduino libraries dey wey go allow you add extra features to your Arduino projects, like using sensors and actuators or connecting to cloud IoT services.
+
+##### Task
+
+Check the Wio Terminal.
+
+If you dey use Wio Terminal for these lessons, go back check the code wey you write for the last lesson. Find the `setup` and `loop` function. Monitor the serial output to see how the loop function dey called repeatedly. Try add code to the `setup` function to write to the serial port and observe say this code dey only run once anytime you reboot. Try reboot your device with the power switch for the side to see say e dey run each time the device reboot.
+
+## Deeper dive into single-board computers
+
+For the last lesson, we talk about single-board computers. Now, make we look am well well.
+
+### Raspberry Pi
+
+![The Raspberry Pi logo](../../../../../translated_images/raspberry-pi-logo.4efaa16605cee05489d8fa53941e991b3757aa24c20a95abdcf8cfd761953596.pcm.png)
+
+The [Raspberry Pi Foundation](https://www.raspberrypi.org) na charity from UK wey dem start for 2009 to promote computer science study, especially for school level. As part of their mission, dem develop single-board computer wey dem call Raspberry Pi. Raspberry Pi dey come in 3 types - full size version, smaller Pi Zero, and compute module wey you fit use build your final IoT device.
+
+![A Raspberry Pi 4](../../../../../translated_images/raspberry-pi-4.fd4590d308c3d456db1327e86b395ddcd735513267aafd4879ea2785f7792eac.pcm.jpg)
+
+The latest full size Raspberry Pi na Raspberry Pi 4B. E get quad-core (4 core) CPU wey dey run for 1.5GHz, 2, 4, or 8GB of RAM, gigabit ethernet, WiFi, 2 HDMI ports wey fit support 4k screens, audio and composite video output port, USB ports (2 USB 2.0, 2 USB 3.0), 40 GPIO pins, camera connector for Raspberry Pi camera module, and SD card slot. All these dey for board wey be 88mm x 58mm x 19.5mm and e dey powered by 3A USB-C power supply. E dey start from US$35, e cheap pass PC or Mac.
+
+> 💁 Dem still get Pi400 all-in-one computer wey get Pi4 inside keyboard.
+
+![A Raspberry Pi Zero](../../../../../translated_images/raspberry-pi-zero.f7a4133e1e7d54bb3dbb32319b217a53c5b94871995a54647f2894b54206b8d8.pcm.jpg)
+
+The Pi Zero small well well, and e no dey use plenty power. E get single core 1GHz CPU, 512MB of RAM, WiFi (for the Zero W model), one HDMI port, one micro-USB port, 40 GPIO pins, camera connector for Raspberry Pi camera module, and SD card slot. E measure 65mm x 30mm x 5mm, and e no dey use plenty power. The Zero na US$5, and the W version wey get WiFi na US$10.
+
+> 🎓 The CPUs for both of them na ARM processors, no be the Intel/AMD x86 or x64 processors wey dey most PCs and Macs. Dem dey similar to the CPUs wey dey some microcontrollers, and almost all mobile phones, Microsoft Surface X, and the new Apple Silicon based Apple Macs.
+
+All Raspberry Pi variants dey run version of Debian Linux wey dem call Raspberry Pi OS. E get lite version wey no get desktop, wey perfect for 'headless' projects wey no need screen, or full version wey get desktop environment, web browser, office applications, coding tools, and games. Since the OS na version of Debian Linux, you fit install any application or tool wey dey run for Debian and wey dem build for the ARM processor wey dey inside the Pi.
+
+#### Task
+
+Check the Raspberry Pi.
+
+If you dey use Raspberry Pi for these lessons, read about the different hardware components wey dey the board.
+
+* You fit find details about the processors wey dem use for the [Raspberry Pi hardware documentation page](https://www.raspberrypi.org/documentation/hardware/raspberrypi/). Read about the processor wey dey the Pi wey you dey use.
+* Locate the GPIO pins. Read more about them for the [Raspberry Pi GPIO documentation](https://www.raspberrypi.org/documentation/hardware/raspberrypi/gpio/README.md). Use the [GPIO Pin Usage guide](https://www.raspberrypi.org/documentation/usage/gpio/README.md) to identify the different pins wey dey your Pi.
+
+### Programming single-board computers
+
+Single-board computers na full computers wey dey run full OS. This one mean say you fit use plenty programming languages, frameworks, and tools to code them, unlike microcontrollers wey dey depend on frameworks like Arduino. Most programming languages get libraries wey fit access the GPIO pins to send and receive data from sensors and actuators.
+
+✅ Which programming languages you sabi? Dem dey supported for Linux?
+The most common programming language wey people dey use build IoT apps for Raspberry Pi na Python. Plenty hardware dey wey dem design for Pi, and almost all of dem get the correct code wey you need to use dem as Python libraries. Some of dis hardware dey based on 'hats' - dem call am so because e dey sit for top the Pi like hat and e dey connect with big socket to the 40 GPIO pins. Dis hats dey add extra things like screens, sensors, remote-controlled cars, or adapters wey go allow you plug sensors wey get standard cables.
+
+### How single-board computers dey work for professional IoT deployments
+
+Single-board computers no be only for developer kits, dem dey use am for professional IoT deployments too. Dem fit give strong way to control hardware and run complex tasks like machine learning models. For example, [Raspberry Pi 4 compute module](https://www.raspberrypi.org/blog/raspberry-pi-compute-module-4/) dey give all the power wey Raspberry Pi 4 get but e small and cheap pass, e no get plenty ports, and dem design am make e fit enter custom hardware.
+
+---
+
+## 🚀 Challenge
+
+The challenge for the last lesson na to list as many IoT devices wey dey your house, school or work. For each device wey you list, you fit think say dem dey use microcontrollers or single-board computers, or even mix of both?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/4)
+
+## Review & Self Study
+
+* Read the [Arduino getting started guide](https://www.arduino.cc/en/Guide/Introduction) to sabi more about the Arduino platform.
+* Read the [introduction to the Raspberry Pi 4](https://www.raspberrypi.org/products/raspberry-pi-4-model-b/) to learn more about Raspberry Pis.
+* Learn more about some of the concepts and acronyms for the [What the FAQ are CPUs, MPUs, MCUs, and GPUs article for Electrical Engineering Journal](https://www.eejournal.com/article/what-the-faq-are-cpus-mpus-mcus-and-gpus/).
+
+✅ Use these guides, plus the costs wey dey show for the links for the [hardware guide](../../../hardware.md) to decide which hardware platform you wan use, or if you go prefer use virtual device.
+
+## Assignment
+
+[Compare and contrast microcontrollers and single-board computers](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/2-deeper-dive/assignment.md b/translations/pcm/1-getting-started/lessons/2-deeper-dive/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
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+  "source_file": "1-getting-started/lessons/2-deeper-dive/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Compare and contrast microcontrollers and single-board computers
+
+## Instructions
+
+Dis lesson talk about microcontrollers and single-board computers. Make table wey go compare and contrast dem, and write at least 2 reasons why you go use microcontroller instead of single-board computer, and at least 2 reasons why you go use single-board computer instead of microcontroller.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Create table wey compare microcontrollers to single-board computers | Create list wey get plenty correct items wey compare and contrast | Create list wey get only small items | Fit only come up with one item, or no item to compare and contrast |
+| Reasons for using one over the other | Fit give 2 or more reasons for microcontrollers, and 2 or more for single-board computers | Fit only give 1-2 reasons for microcontroller, and 1-2 reasons for single-board computer | No fit give 1 or more reasons for microcontroller or for single-board computer |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di main source wey you go trust. For important mata, e better make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/README.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e9ee00eb5fc55922a73762acc542166b",
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+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/README.md",
+  "language_code": "pcm"
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+-->
+# Interact wit di physical world wit sensors and actuators
+
+![A sketchnote overview of dis lesson](../../../../../translated_images/lesson-3.cc3b7b4cd646de598698cce043c0393fd62ef42bac2eaf60e61272cd844250f4.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis lesson na part of di [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) wey di [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn) teach. Di lesson na 2 videos - one 1 hour lesson, and one 1 hour office hour wey go deep into di lesson and answer questions.
+
+[![Lesson 3: Interact wit di Physical World wit Sensors and Actuators](https://img.youtube.com/vi/Lqalu1v6aF4/0.jpg)](https://youtu.be/Lqalu1v6aF4)
+
+[![Lesson 3: Interact wit di Physical World wit Sensors and Actuators - Office hours](https://img.youtube.com/vi/qR3ekcMlLWA/0.jpg)](https://youtu.be/qR3ekcMlLWA)
+
+> 🎥 Click di images above to watch di videos
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/5)
+
+## Introduction
+
+Dis lesson go show you two important things for your IoT device - sensors and actuators. You go also do hands-on wit dem, add light sensor to your IoT project, then add LED wey light dey control, so you go fit build nightlight.
+
+For dis lesson we go talk about:
+
+* [Wetin be sensors?](../../../../../1-getting-started/lessons/3-sensors-and-actuators)
+* [How to use sensor](../../../../../1-getting-started/lessons/3-sensors-and-actuators)
+* [Di types of sensors](../../../../../1-getting-started/lessons/3-sensors-and-actuators)
+* [Wetin be actuators?](../../../../../1-getting-started/lessons/3-sensors-and-actuators)
+* [How to use actuator](../../../../../1-getting-started/lessons/3-sensors-and-actuators)
+* [Di types of actuators](../../../../../1-getting-started/lessons/3-sensors-and-actuators)
+
+## Wetin be sensors?
+
+Sensors na hardware wey dey sense di physical world - dem dey measure one or more things around dem and send di info go IoT device. Sensors plenty wella because e get many things wey person fit measure, like air temperature or movement.
+
+Some common sensors na:
+
+* Temperature sensors - dem dey sense di air temperature or di temperature of wetin dem dey inside. For hobbyists and developers, dem dey combine am wit air pressure and humidity for one sensor.
+* Buttons - dem dey sense when person press dem.
+* Light sensors - dem dey detect light levels, fit be for specific colors, UV light, IR light, or general visible light.
+* Cameras - dem dey sense di world visual by taking photo or streaming video.
+* Accelerometers - dem dey sense movement for different directions.
+* Microphones - dem dey sense sound, either general sound levels or directional sound.
+
+✅ Do small research. Wetin be di sensors wey dey your phone?
+
+All sensors get one thing wey dem dey do - dem dey change wetin dem sense into electrical signal wey IoT device fit understand. How di IoT device go understand di signal depend on di sensor and di communication protocol wey di sensor dey use.
+
+## How to use sensor
+
+Follow di guide wey dey below to add sensor to your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-sensor.md)
+* [Single-board computer - Raspberry Pi](pi-sensor.md)
+* [Single-board computer - Virtual device](virtual-device-sensor.md)
+
+## Di types of sensors
+
+Sensors fit be analog or digital.
+
+### Analog sensors
+
+Di basic sensors na analog sensors. Dem dey receive voltage from di IoT device, di sensor go adjust di voltage, and di voltage wey di sensor return go show di sensor value.
+
+> 🎓 Voltage na how dem dey measure di push wey dey move electricity from one place go another, like from di positive terminal of battery go di negative terminal. For example, AA battery na 1.5V (V na di symbol for volts) and e fit push electricity wit di force of 1.5V. Different electrical hardware need different voltages to work, like LED fit light wit 2-3V, but 100W filament bulb go need 240V. You fit read more about voltage for [Voltage page for Wikipedia](https://wikipedia.org/wiki/Voltage).
+
+One example na potentiometer. Dis na dial wey you fit turn between two positions and di sensor go measure di rotation.
+
+![A potentiometer set to mid point wey dem send 5 volts return 3.8 volts](../../../../../translated_images/potentiometer.35a348b9ce22f6ec1199ad37d68692d04185456ccbc2541a454bb6698be9f19c.pcm.png)
+
+Di IoT device go send electrical signal to di potentiometer wit voltage, like 5 volts (5V). As you dey adjust di potentiometer, e go change di voltage wey dey come out. Imagine say di potentiometer get dial wey dey go from 0 to [11](https://wikipedia.org/wiki/Up_to_eleven), like volume knob for amplifier. When di potentiometer dey full off position (0), 0V (0 volts) go come out. When e dey full on position (11), 5V (5 volts) go come out.
+
+> 🎓 Dis na oversimplification, you fit read more about potentiometers and variable resistors for [potentiometer Wikipedia page](https://wikipedia.org/wiki/Potentiometer).
+
+Di voltage wey dey come out from di sensor na wetin di IoT device go read, and di device fit respond to am. Depending on di sensor, di voltage fit be random value or fit match standard unit. For example, analog temperature sensor wey dey use [thermistor](https://wikipedia.org/wiki/Thermistor) go change e resistance based on di temperature. Di output voltage fit change to temperature in Kelvin, and fit also change to °C or °F, wit calculation for code.
+
+✅ Wetin you think go happen if di sensor return higher voltage than wetin dem send (like from external power supply)? ⛔️ NO try test am.
+
+#### Analog to digital conversion
+
+IoT devices na digital - dem no fit work wit analog values, dem dey only work wit 0s and 1s. Dis mean say analog sensor values need to change to digital signal before di device fit process am. Many IoT devices get analog-to-digital converters (ADCs) wey dey change analog inputs to digital values. Sensors fit also work wit ADCs via connector board. For example, for Seeed Grove ecosystem wit Raspberry Pi, analog sensors dey connect to specific ports for 'hat' wey dey sit on di Pi connected to di Pi GPIO pins, and dis hat get ADC wey dey change di voltage to digital signal wey di Pi GPIO pins fit send.
+
+Imagine say you get analog light sensor wey dey connect to IoT device wey dey use 3.3V and e dey return 1V. Dis 1V no mean anything for digital world, so e need to change. Di voltage go change to analog value wit scale wey depend on di device and sensor. One example na Seeed Grove light sensor wey dey output values from 0 to 1,023. For dis sensor wey dey run for 3.3V, 1V output go be value of 300. IoT device no fit handle 300 as analog value, so di value go change to `0000000100101100`, di binary representation of 300 by di Grove hat. Dis go then dey process by di IoT device.
+
+✅ If you no sabi binary, do small research to learn how numbers dey represent wit 0s and 1s. Di [BBC Bitesize introduction to binary lesson](https://www.bbc.co.uk/bitesize/guides/zwsbwmn/revision/1) na good place to start.
+
+For coding, di libraries wey dey come wit di sensors dey handle all dis conversion, so you no need worry about am. For Grove light sensor, you go use di Python library and call di `light` property, or use di Arduino library and call `analogRead` to get value of 300.
+
+### Digital sensors
+
+Digital sensors, like analog sensors, dey detect di world around dem wit changes for electrical voltage. Di difference be say dem dey output digital signal, either by measuring only two states or by using ADC wey dey inside dem. Digital sensors dey common now so dem no go need ADC for connector board or di IoT device.
+
+Di simplest digital sensor na button or switch. Dis na sensor wey get two states, on or off.
+
+![A button dey send 5 volts. When dem no press am e dey return 0 volts, when dem press am e dey return 5 volts](../../../../../translated_images/button.eadb560b77ac45e56f523d9d8876e40444f63b419e33eb820082d461fa79490b.pcm.png)
+
+Pins for IoT devices like GPIO pins fit measure dis signal directly as 0 or 1. If di voltage wey dem send dey same as di voltage wey dem return, di value wey dem read na 1, if e no dey same di value na 0. No need to change di signal, e fit only be 1 or 0.
+
+> 💁 Voltages no dey exact especially as di components for sensor go get small resistance, so dem dey usually get tolerance. For example, di GPIO pins for Raspberry Pi dey work wit 3.3V, and dem dey read return signal wey dey above 1.8V as 1, below 1.8V as 0.
+
+* 3.3V dey enter di button. Di button dey off so 0V dey come out, di value na 0
+* 3.3V dey enter di button. Di button dey on so 3.3V dey come out, di value na 1
+
+More advanced digital sensors dey read analog values, then dem dey change am wit ADC wey dey inside dem to digital signal. For example, digital temperature sensor go still use thermocouple like analog sensor, and e go still measure di change for voltage wey di thermocouple resistance dey cause for di current temperature. Instead of returning analog value and relying on di device or connector board to change am to digital signal, ADC wey dey inside di sensor go change di value and send am as 0s and 1s to di IoT device. Dis 0s and 1s dey send di same way as di digital signal for button wit 1 being full voltage and 0 being 0v.
+
+![A digital temperature sensor dey change analog reading to binary data wit 0 as 0 volts and 1 as 5 volts before e send am to IoT device](../../../../../translated_images/temperature-as-digital.85004491b977bae1129707df107c0b19fe6fc6374210e9027e04acb34a640c78.pcm.png)
+
+Sending digital data dey allow sensors to dey more complex and send more detailed data, even encrypted data for secure sensors. One example na camera. Dis na sensor wey dey capture image and send am as digital data wey get di image, usually for compressed format like JPEG, to di IoT device. E fit even stream video by capturing images and sending di complete image frame by frame or compressed video stream.
+
+## Wetin be actuators?
+
+Actuators na di opposite of sensors - dem dey change electrical signal from your IoT device into interaction wit di physical world like light, sound, or motor movement.
+
+Some common actuators na:
+
+* LED - dem dey emit light when dem turn on
+* Speaker - dem dey emit sound based on di signal wey dem send, from basic buzzer to audio speaker wey fit play music
+* Stepper motor - dem dey change signal into defined rotation, like turning dial 90°
+* Relay - dem na switches wey fit turn on or off wit electrical signal. Dem dey allow small voltage from IoT device to turn on bigger voltages.
+* Screens - dem na more complex actuators wey dey show info for multi-segment display. Screens dey range from simple LED displays to high-resolution video monitors.
+
+✅ Do small research. Wetin be di actuators wey dey your phone?
+
+## How to use actuator
+
+Follow di guide wey dey below to add actuator to your IoT device, wey di sensor go dey control, to build IoT nightlight. E go gather light levels from di light sensor, and use actuator like LED to emit light when di light level wey dem detect dey too low.
+
+![A flow chart of di assignment wey show light levels wey dem dey read and check, and di LED wey dem dey control](../../../../../translated_images/assignment-1-flow.7552a51acb1a5ec858dca6e855cdbb44206434006df8ba3799a25afcdab1665d.pcm.png)
+
+* [Arduino - Wio Terminal](wio-terminal-actuator.md)
+* [Single-board computer - Raspberry Pi](pi-actuator.md)
+* [Single-board computer - Virtual device](virtual-device-actuator.md)
+
+## Di types of actuators
+
+Like sensors, actuators fit be analog or digital.
+
+### Analog actuators
+
+Analog actuators dey take analog signal and change am into interaction, where di interaction dey change based on di voltage wey dem supply.
+One example na light wey fit dim, like the one wey you fit get for your house. How bright the light go be na the voltage wey dem supply am go determine.
+
+![A light dimmed at a low voltage and brighter at a higher voltage](../../../../../translated_images/dimmable-light.9ceffeb195dec1a849da718b2d71b32c35171ff7dfea9c07bbf82646a67acf6b.pcm.png)
+
+Just like sensors, the IoT device dey work with digital signals, no be analog. This mean say to send analog signal, the IoT device go need digital to analog converter (DAC), either directly for the IoT device or for connector board. This converter go change the 0s and 1s wey the IoT device dey send to analog voltage wey the actuator fit use.
+
+✅ Wetin you think go happen if the IoT device send voltage wey pass wetin the actuator fit handle?
+⛔️ NO TRY am o.
+
+#### Pulse-Width Modulation
+
+Another way to change digital signals from IoT device to analog signal na pulse-width modulation. This one na to send plenty short digital pulses wey go act like analog signal.
+
+For example, you fit use PWM to control motor speed.
+
+Imagine say you dey control motor wey dey use 5V supply. You send short pulse to your motor, switch the voltage to high (5V) for two hundredths of a second (0.02s). For that time, your motor fit turn one tenth of a rotation, or 36°. The signal go pause for two hundredths of a second (0.02s), send low signal (0V). Each cycle of on then off go last 0.04s. The cycle go repeat.
+
+![Pule width modulation rotation of a motor at 150 RPM](../../../../../translated_images/pwm-motor-150rpm.83347ac04ca38482bd120939b133803963c9c15ca9d8d484712a4bd92820f6a4.pcm.png)
+
+This mean say for one second, you go get 25 5V pulses of 0.02s wey go turn the motor, each one go follow 0.02s pause of 0V wey no go turn the motor. Each pulse go turn the motor one tenth of a rotation, meaning the motor go complete 2.5 rotations per second. You don use digital signal to turn the motor at 2.5 rotations per second, or 150 [revolutions per minute](https://wikipedia.org/wiki/Revolutions_per_minute) (na non-standard measure of rotational velocity).
+
+```output
+25 pulses per second x 0.1 rotations per pulse = 2.5 rotations per second
+2.5 rotations per second x 60 seconds in a minute = 150rpm
+```
+
+> 🎓 When PWM signal dey on for half the time, and off for half, dem dey call am [50% duty cycle](https://wikipedia.org/wiki/Duty_cycle). Duty cycles na percentage time wey signal dey on compared to off.
+
+![Pule width modulation rotation of a motor at 75 RPM](../../../../../translated_images/pwm-motor-75rpm.a5e4c939934b6e14fd9e98e4f2c9539d723da2b18f490eae0948dd044d18ff7e.pcm.png)
+
+You fit change motor speed by changing the size of the pulses. For example, with the same motor, you fit keep the same cycle time of 0.04s, with the on pulse cut to 0.01s, and the off pulse increase to 0.03s. You go still get the same number of pulses per second (25), but each on pulse go short. Short pulse go only turn the motor one twentieth of a rotation, and at 25 pulses per second, the motor go complete 1.25 rotations per second or 75rpm. By changing the pulse speed of digital signal, you don reduce the speed of analog motor by half.
+
+```output
+25 pulses per second x 0.05 rotations per pulse = 1.25 rotations per second
+1.25 rotations per second x 60 seconds in a minute = 75rpm
+```
+
+✅ How you go make sure say the motor rotation dey smooth, especially for low speeds? You go use small number of long pulses with long pauses or plenty short pulses with short pauses?
+
+> 💁 Some sensors dey use PWM too to change analog signals to digital signals.
+
+> 🎓 You fit read more about pulse-width modulation for [pulse-width modulation page on Wikipedia](https://wikipedia.org/wiki/Pulse-width_modulation).
+
+### Digital actuators
+
+Digital actuators, like digital sensors, dey get two states wey high or low voltage dey control or dem get DAC inside wey fit change digital signal to analog one.
+
+One simple digital actuator na LED. When device send digital signal of 1, high voltage go light the LED. When device send digital signal of 0, voltage go drop to 0V and LED go off.
+
+![A LED is off at 0 volts and on at 5V](../../../../../translated_images/led.ec6d94f66676a174ad06d9fa9ea49c2ee89beb18b312d5c6476467c66375b07f.pcm.png)
+
+✅ Which other simple 2-state actuators you fit think of? One example na solenoid, wey be electromagnet wey fit activate to do things like move door bolt to lock/unlock door.
+
+More advanced digital actuators, like screens, dey need digital data to dey send in certain formats. Dem dey usually come with libraries wey go make am easy to send correct data to control dem.
+
+---
+
+## 🚀 Challenge
+
+The challenge for the last two lessons na to list as many IoT devices as you fit see for your house, school or workplace and decide if dem dey use microcontrollers or single-board computers, or even mix of both.
+
+For every device wey you list, which sensors and actuators dem connect to? Wetin be the purpose of each sensor and actuator wey dem connect to these devices?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/6)
+
+## Review & Self Study
+
+* Read about electricity and circuits for [ThingLearn](http://thinglearn.jenlooper.com/curriculum/).
+* Read about the different types of temperature sensors for [Seeed Studios Temperature Sensors guide](https://www.seeedstudio.com/blog/2019/10/14/temperature-sensors-for-arduino-projects/)
+* Read about LEDs for [Wikipedia LED page](https://wikipedia.org/wiki/Light-emitting_diode)
+
+## Assignment
+
+[Research sensors and actuators](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say transleshion wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di main source. For important informashon, e good make professional human transleshion dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/assignment.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c5a568320b1159394108544807895337",
+  "translation_date": "2025-11-18T18:44:00+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Research sensors and actuators
+
+## Instructions
+
+Dis lesson talk about sensors and actuators. Make research and describe one sensor and one actuator wey fit work with IoT dev kit, include:
+
+* Wetin e dey do
+* Di electronics/hardware wey dey inside
+* E be analog or digital
+* Wetin be di units and range of inputs or measurements
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Describe a sensor | Describe di sensor well with details for all 4 sections wey dey above. | Describe di sensor, but fit only provide 2-3 of di sections wey dey above | Describe di sensor, but fit only provide 1 of di sections wey dey above |
+| Describe an actuator | Describe di actuator well with details for all 4 sections wey dey above. | Describe di actuator, but fit only provide 2-3 of di sections wey dey above | Describe di actuator, but fit only provide 1 of di sections wey dey above |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg make you sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/pi-actuator.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/pi-actuator.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4db8a3879a53490513571df2f6cf7641",
+  "translation_date": "2025-11-18T18:39:06+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/pi-actuator.md",
+  "language_code": "pcm"
+}
+-->
+# Build nightlight - Raspberry Pi
+
+For dis part of di lesson, you go add LED to your Raspberry Pi and use am to make nightlight.
+
+## Hardware
+
+Di nightlight need actuator now.
+
+Di actuator na **LED**, na [light-emitting diode](https://wikipedia.org/wiki/Light-emitting_diode) wey dey shine light when current pass through am. E be digital actuator wey get 2 states, on and off. If you send value of 1, e go turn di LED on, and 0 go turn am off. Di LED na external Grove actuator and e need to connect to di Grove Base hat wey dey di Raspberry Pi.
+
+Di nightlight logic for pseudo-code be:
+
+```output
+Check the light level.
+If the light is less than 300
+    Turn the LED on
+Otherwise
+    Turn the LED off
+```
+
+### Connect di LED
+
+Di Grove LED dey come as module wey get different LEDs, so you fit choose di color wey you like.
+
+#### Task - connect di LED
+
+Connect di LED.
+
+![A grove LED](../../../../../translated_images/grove-led.6c853be93f473cf2c439cfc74bb1064732b22251a83cedf66e62f783f9cc1a79.pcm.png)
+
+1. Choose di LED wey you like and put di legs inside di two holes for di LED module.
+
+    LEDs na light-emitting diodes, and diodes na electronic device wey fit carry current only one way. Dis mean say di LED need to connect di correct way, if not e no go work.
+
+    One leg of di LED na di positive pin, di other one na di negative pin. Di LED no dey perfectly round, e get one side wey flat small. Di side wey flat small na di negative pin. When you dey connect di LED to di module, make sure say di pin wey dey di round side connect to di socket wey dem mark **+** for di outside of di module, and di flat side connect to di socket wey dey close to di middle of di module.
+
+1. Di LED module get spin button wey you fit use control di brightness. Turn am reach di highest level first by rotating am anti-clockwise as e fit go using small Phillips head screwdriver.
+
+1. Put one end of Grove cable inside di socket for di LED module. E go only enter one way.
+
+1. When di Raspberry Pi dey off, connect di other end of di Grove cable to di digital socket wey dem mark **D5** for di Grove Base hat wey dey attach to di Pi. Dis socket na di second one from di left, for di row of sockets wey dey next to di GPIO pins.
+
+![Di grove LED wey connect to socket D5](../../../../../translated_images/pi-led.97f1d474981dc35d1c7996c7b17de355d3d0a6bc9606d79fa5f89df933415122.pcm.png)
+
+## Program di nightlight
+
+Now you fit program di nightlight using di Grove light sensor and di Grove LED.
+
+### Task - program di nightlight
+
+Program di nightlight.
+
+1. Power di Pi and wait make e boot.
+
+1. Open di nightlight project for VS Code wey you create for di last part of dis assignment, whether e dey run directly for di Pi or e dey connect using di Remote SSH extension.
+
+1. Add dis code to di `app.py` file to import di library wey you need. Put am for di top, under di other `import` lines.
+
+    ```python
+    from grove.grove_led import GroveLed
+    ```
+
+    Di `from grove.grove_led import GroveLed` statement dey import di `GroveLed` from di Grove Python libraries. Dis library get code wey dey interact with Grove LED.
+
+1. Add dis code after di `light_sensor` declaration to create instance of di class wey dey manage di LED:
+
+    ```python
+    led = GroveLed(5)
+    ```
+
+    Di line `led = GroveLed(5)` dey create instance of di `GroveLed` class wey dey connect to pin **D5** - di digital Grove pin wey di LED dey connect to.
+
+    > 💁 All di sockets get unique pin numbers. Pins 0, 2, 4, and 6 na analog pins, pins 5, 16, 18, 22, 24, and 26 na digital pins.
+
+1. Add check inside di `while` loop, and before di `time.sleep` to check di light levels and turn di LED on or off:
+
+    ```python
+    if light < 300:
+        led.on()
+    else:
+        led.off()
+    ```
+
+    Dis code dey check di `light` value. If e dey less than 300, e go call di `on` method of di `GroveLed` class wey dey send digital value of 1 to di LED, wey go turn am on. If di light value dey greater than or equal to 300, e go call di `off` method, wey dey send digital value of 0 to di LED, wey go turn am off.
+
+    > 💁 Dis code suppose dey indent di same level as di `print('Light level:', light)` line so e go dey inside di while loop!
+
+    > 💁 When you dey send digital values to actuators, 0 value na 0V, and 1 value na di max voltage for di device. For Raspberry Pi wey dey use Grove sensors and actuators, di 1 voltage na 3.3V.
+
+1. From di VS Code Terminal, run dis command to run your Python app:
+
+    ```sh
+    python3 app.py
+    ```
+
+    Light values go dey show for di console.
+
+    ```output
+    pi@raspberrypi:~/nightlight $ python3 app.py 
+    Light level: 634
+    Light level: 634
+    Light level: 634
+    Light level: 230
+    Light level: 104
+    Light level: 290
+    ```
+
+1. Cover and uncover di light sensor. You go notice say di LED go light up if di light level dey 300 or less, and e go off when di light level dey greater than 300.
+
+    > 💁 If di LED no dey turn on, make sure say e connect di correct way, and di spin button dey set to full on.
+
+![Di LED wey connect to di Pi dey turn on and off as di light level dey change](../../../../../images/pi-running-assignment-1-1.gif)
+
+> 💁 You fit find dis code for di [code-actuator/pi](../../../../../1-getting-started/lessons/3-sensors-and-actuators/code-actuator/pi) folder.
+
+😀 Your nightlight program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/pi-sensor.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/pi-sensor.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "ea733bd0cdf2479e082373f765a08678",
+  "translation_date": "2025-11-18T18:40:50+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/pi-sensor.md",
+  "language_code": "pcm"
+}
+-->
+# Build nightlight - Raspberry Pi
+
+For dis part of di lesson, you go add light sensor to your Raspberry Pi.
+
+## Hardware
+
+Di sensor wey we go use for dis lesson na **light sensor** wey dey use [photodiode](https://wikipedia.org/wiki/Photodiode) to change light to electric signal. Dis na analog sensor wey dey send number value from 0 to 1,000 wey show how much light dey, but e no dey follow any standard measurement like [lux](https://wikipedia.org/wiki/Lux).
+
+Di light sensor na external Grove sensor and e need make you connect am to di Grove Base hat wey dey di Raspberry Pi.
+
+### Connect di light sensor
+
+Di Grove light sensor wey we dey use to check di light level need make e connect to di Raspberry Pi.
+
+#### Task - connect di light sensor
+
+Connect di light sensor
+
+![A grove light sensor](../../../../../translated_images/grove-light-sensor.b8127b7c434e632d6bcdb57587a14e9ef69a268a22df95d08628f62b8fa5505c.pcm.png)
+
+1. Put one side of di Grove cable inside di socket wey dey di light sensor module. E go only fit enter one way.
+
+1. When di Raspberry Pi dey off, connect di other side of di Grove cable to di analog socket wey dem mark **A0** for di Grove Base hat wey dey di Pi. Dis socket na di second one from di right, for di row of sockets wey dey near di GPIO pins.
+
+![Di grove light sensor wey connect to socket A0](../../../../../translated_images/pi-light-sensor.66cc1e31fa48cd7d5f23400d4b2119aa41508275cb7c778053a7923b4e972d7e.pcm.png)
+
+## Program di light sensor
+
+Now, you fit program di device wey dey use di Grove light sensor.
+
+### Task - program di light sensor
+
+Program di device.
+
+1. Power di Pi and wait make e boot.
+
+1. Open di nightlight project for VS Code wey you don create for di last part of dis assignment, whether e dey run directly for di Pi or e dey connect using di Remote SSH extension.
+
+1. Open di `app.py` file and remove all di code wey dey inside.
+
+1. Add dis code to di `app.py` file to import some libraries wey you need:
+
+    ```python
+    import time
+    from grove.grove_light_sensor_v1_2 import GroveLightSensor
+    ```
+
+    Di `import time` statement dey bring di `time` module wey you go use later for dis assignment.
+
+    Di `from grove.grove_light_sensor_v1_2 import GroveLightSensor` statement dey bring di `GroveLightSensor` from di Grove Python libraries. Dis library get code wey fit work with Grove light sensor, and dem don install am globally during di Pi setup.
+
+1. Add dis code after di one wey dey above to create one instance of di class wey dey manage di light sensor:
+
+    ```python
+    light_sensor = GroveLightSensor(0)
+    ```
+
+    Di line `light_sensor = GroveLightSensor(0)` dey create one instance of di `GroveLightSensor` class wey dey connect to pin **A0** - di analog Grove pin wey di light sensor dey connect to.
+
+1. Add one infinite loop after di code wey dey above to dey check di light sensor value and print am for di console:
+
+    ```python
+    while True:
+        light = light_sensor.light
+        print('Light level:', light)
+    ```
+
+    Dis one go read di current light level for scale of 0-1,023 using di `light` property of di `GroveLightSensor` class. Dis property dey read di analog value from di pin. Di value go then show for di console.
+
+1. Add small sleep of one second for di end of di `loop` because you no need dey check di light level every time. Di sleep go help reduce di power wey di device dey use.
+
+    ```python
+    time.sleep(1)
+    ```
+
+1. From di VS Code Terminal, run dis command to run your Python app:
+
+    ```sh
+    python3 app.py
+    ```
+
+    Di light values go dey show for di console. Cover and uncover di light sensor, and di values go dey change:
+
+    ```output
+    pi@raspberrypi:~/nightlight $ python3 app.py 
+    Light level: 634
+    Light level: 634
+    Light level: 634
+    Light level: 230
+    Light level: 104
+    Light level: 290
+    ```
+
+> 💁 You fit find dis code for di [code-sensor/pi](../../../../../1-getting-started/lessons/3-sensors-and-actuators/code-sensor/pi) folder.
+
+😀 Adding sensor to your nightlight program na success!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translet. Even as we dey try make am correct, abeg make you sabi say machine translet fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make professional human translet am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/virtual-device-actuator.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/virtual-device-actuator.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/virtual-device-actuator.md
@@ -0,0 +1,126 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9c640f93263fd9adbfda920739e09feb",
+  "translation_date": "2025-11-18T18:43:27+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/virtual-device-actuator.md",
+  "language_code": "pcm"
+}
+-->
+# Build nightlight - Virtual IoT Hardware
+
+For dis part of di lesson, you go add LED to your virtual IoT device and use am to make nightlight.
+
+## Virtual Hardware
+
+Di nightlight need one actuator wey you go create for di CounterFit app.
+
+Di actuator na **LED**. For real IoT device, e go be [light-emitting diode](https://wikipedia.org/wiki/Light-emitting_diode) wey dey shine light when current pass through am. Dis one na digital actuator wey get 2 states, on and off. If you send value of 1, e go turn di LED on, and if you send 0, e go turn am off.
+
+Di nightlight logic for pseudo-code be:
+
+```output
+Check the light level.
+If the light is less than 300
+    Turn the LED on
+Otherwise
+    Turn the LED off
+```
+
+### Add di actuator to CounterFit
+
+To use virtual LED, you go need add am to di CounterFit app.
+
+#### Task - add di actuator to CounterFit
+
+Add di LED to di CounterFit app.
+
+1. Make sure say di CounterFit web app dey run from di last part of dis assignment. If e no dey run, start am again and re-add di light sensor.
+
+1. Create LED:
+
+    1. For di *Create actuator* box wey dey di *Actuator* pane, drop down di *Actuator type* box and choose *LED*.
+
+    1. Set di *Pin* to *5*
+
+    1. Click di **Add** button to create di LED for Pin 5.
+
+    ![Di LED settings](../../../../../translated_images/counterfit-create-led.ba9db1c9b8c622a635d6dfae5cdc4e70c2b250635bd4f0601c6cf0bd22b7ba46.pcm.png)
+
+    Di LED go dey created and e go show for di actuators list.
+
+    ![Di LED created](../../../../../translated_images/counterfit-led.c0ab02de6d256ad84d9bad4d67a7faa709f0ea83e410cfe9b5561ef0cef30b1c.pcm.png)
+
+    Once di LED don dey created, you fit change di color using di *Color* picker. Click di **Set** button to change di color after you don select am.
+
+### Program di nightlight
+
+Now you fit program di nightlight using di CounterFit light sensor and LED.
+
+#### Task - program di nightlight
+
+Program di nightlight.
+
+1. Open di nightlight project for VS Code wey you create for di last part of dis assignment. Kill and re-create di terminal to make sure say e dey run with di virtual environment if e dey necessary.
+
+1. Open di `app.py` file.
+
+1. Add dis code to di `app.py` file to import di required library. Put am for di top, under di other `import` lines.
+
+    ```python
+    from counterfit_shims_grove.grove_led import GroveLed
+    ```
+
+    Di `from counterfit_shims_grove.grove_led import GroveLed` statement dey import di `GroveLed` from di CounterFit Grove shim Python libraries. Dis library get code wey fit interact with LED wey you create for di CounterFit app.
+
+1. Add dis code after di `light_sensor` declaration to create instance of di class wey dey manage di LED:
+
+    ```python
+    led = GroveLed(5)
+    ```
+
+    Di line `led = GroveLed(5)` dey create instance of di `GroveLed` class wey dey connect to pin **5** - di CounterFit Grove pin wey di LED dey connect to.
+
+1. Add check inside di `while` loop, and before di `time.sleep` to check di light levels and turn di LED on or off:
+
+    ```python
+    if light < 300:
+        led.on()
+    else:
+        led.off()
+    ```
+
+    Dis code dey check di `light` value. If e dey less than 300, e go call di `on` method of di `GroveLed` class wey go send digital value of 1 to di LED, make e turn on. If di light value dey greater than or equal to 300, e go call di `off` method, wey go send digital value of 0 to di LED, make e turn off.
+
+    > 💁 Dis code suppose dey indented to di same level as di `print('Light level:', light)` line to dey inside di while loop!
+
+1. From di VS Code Terminal, run dis command to run your Python app:
+
+    ```sh
+    python3 app.py
+    ```
+
+    Light values go dey show for di console.
+
+    ```output
+    (.venv) ➜  GroveTest python3 app.py 
+    Light level: 143
+    Light level: 244
+    Light level: 246
+    Light level: 253
+    ```
+
+1. Change di *Value* or di *Random* settings to make di light level dey above and below 300. Di LED go dey turn on and off.
+
+![Di LED for di CounterFit app dey turn on and off as di light level dey change](../../../../../images/virtual-device-running-assignment-1-1.gif)
+
+> 💁 You fit find dis code for di [code-actuator/virtual-device](../../../../../1-getting-started/lessons/3-sensors-and-actuators/code-actuator/virtual-device) folder.
+
+😀 Your nightlight program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg no forget say automatic translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main correct source. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because una use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/virtual-device-sensor.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/virtual-device-sensor.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/virtual-device-sensor.md
@@ -0,0 +1,126 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "11f10c6760fb8202cf368422702fdf70",
+  "translation_date": "2025-11-18T18:42:12+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/virtual-device-sensor.md",
+  "language_code": "pcm"
+}
+-->
+# Build Nightlight - Virtual IoT Hardware
+
+For dis part of di lesson, you go add light sensor to your virtual IoT device.
+
+## Virtual Hardware
+
+Di nightlight need one sensor wey you go create for di CounterFit app.
+
+Di sensor na **light sensor**. For real IoT device, e go be [photodiode](https://wikipedia.org/wiki/Photodiode) wey dey change light to electrical signal. Light sensors na analog sensors wey dey send integer value wey dey show how much light dey, but e no dey match any standard unit like [lux](https://wikipedia.org/wiki/Lux).
+
+### Add di sensors to CounterFit
+
+To use virtual light sensor, you go need add am to di CounterFit app.
+
+#### Task - Add di sensors to CounterFit
+
+Add di light sensor to di CounterFit app.
+
+1. Make sure say di CounterFit web app dey run from di last part of dis assignment. If e no dey run, start am.
+
+1. Create light sensor:
+
+    1. For di *Create sensor* box wey dey di *Sensors* pane, drop di *Sensor type* box and select *Light*.
+
+    1. Leave di *Units* as *NoUnits*.
+
+    1. Make sure say di *Pin* dey set to *0*.
+
+    1. Click di **Add** button to create di light sensor for Pin 0.
+
+    ![Di light sensor settings](../../../../../translated_images/counterfit-create-light-sensor.9f36a5e0d4458d8d554d54b34d2c806d56093d6e49fddcda2d20f6fef7f5cce1.pcm.png)
+
+    Di light sensor go dey created and e go show for di sensors list.
+
+    ![Di light sensor created](../../../../../translated_images/counterfit-light-sensor.5d0f5584df56b90f6b2561910d9cb20dfbd73eeff2177c238d38f4de54aefae1.pcm.png)
+
+## Program di light sensor
+
+Now, di device fit dey programmed to use di built-in light sensor.
+
+### Task - Program di light sensor
+
+Program di device.
+
+1. Open di nightlight project for VS Code wey you create for di last part of dis assignment. If necessary, kill and re-create di terminal to make sure say e dey run with di virtual environment.
+
+1. Open di `app.py` file.
+
+1. Add dis code to di top of `app.py` file with di rest of di `import` statements to import some libraries wey you need:
+
+    ```python
+    import time
+    from counterfit_shims_grove.grove_light_sensor_v1_2 import GroveLightSensor
+    ```
+
+    Di `import time` statement dey bring in di Python `time` module wey you go use later for dis assignment.
+
+    Di `from counterfit_shims_grove.grove_light_sensor_v1_2 import GroveLightSensor` statement dey bring in di `GroveLightSensor` from di CounterFit Grove shim Python libraries. Dis library get code to work with light sensor wey you create for di CounterFit app.
+
+1. Add dis code to di bottom of di file to create instances of classes wey go manage di light sensor:
+
+    ```python
+    light_sensor = GroveLightSensor(0)
+    ```
+
+    Di line `light_sensor = GroveLightSensor(0)` dey create instance of di `GroveLightSensor` class wey dey connect to pin **0** - di CounterFit Grove pin wey di light sensor dey connect to.
+
+1. Add infinite loop after di code wey dey above to dey check di light sensor value and print am for di console:
+
+    ```python
+    while True:
+        light = light_sensor.light
+        print('Light level:', light)
+    ```
+
+    Dis one go read di current light level using di `light` property of di `GroveLightSensor` class. Dis property dey read di analog value from di pin. Di value go then dey print for di console.
+
+1. Add small sleep of one second for di end of di `while` loop because di light levels no need dey checked every time. Sleep dey help reduce di power wey di device dey use.
+
+    ```python
+    time.sleep(1)
+    ```
+
+1. From di VS Code Terminal, run dis command to run your Python app:
+
+    ```sh
+    python3 app.py
+    ```
+
+    Light values go dey show for di console. At first, di value go be 0.
+
+1. From di CounterFit app, change di value of di light sensor wey di app go dey read. You fit do am in two ways:
+
+    * Enter number for di *Value* box for di light sensor, then click di **Set** button. Di number wey you enter go be di value wey di sensor go return.
+
+    * Check di *Random* checkbox, and enter *Min* and *Max* value, then click di **Set** button. Anytime di sensor read value, e go read random number between *Min* and *Max*.
+
+    Di values wey you set go dey show for di console. Change di *Value* or di *Random* settings to make di value dey change.
+
+    ```output
+    (.venv) ➜  GroveTest python3 app.py 
+    Light level: 143
+    Light level: 244
+    Light level: 246
+    Light level: 253
+    ```
+
+> 💁 You fit find dis code for di [code-sensor/virtual-device](../../../../../1-getting-started/lessons/3-sensors-and-actuators/code-sensor/virtual-device) folder.
+
+😀 Your nightlight program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make sure say e correct, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey accurate. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transle-shon dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-actuator.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-actuator.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-actuator.md
@@ -0,0 +1,126 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "db44083b4dc6fb06eac83c4f16448940",
+  "translation_date": "2025-11-18T18:41:30+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-actuator.md",
+  "language_code": "pcm"
+}
+-->
+# Build nightlight - Wio Terminal
+
+For dis part of di lesson, you go add LED to your Wio Terminal and use am to make nightlight.
+
+## Hardware
+
+Di nightlight need actuator now.
+
+Di actuator na **LED**, na [light-emitting diode](https://wikipedia.org/wiki/Light-emitting_diode) wey dey shine light when current pass through am. E be digital actuator wey get 2 states, on and off. If you send value of 1, e go turn di LED on, and 0 go turn am off. Dis one na external Grove actuator wey need to connect to di Wio Terminal.
+
+Di nightlight logic for pseudo-code be:
+
+```output
+Check the light level.
+If the light is less than 300
+    Turn the LED on
+Otherwise
+    Turn the LED off
+```
+
+### Connect di LED
+
+Di Grove LED na module wey get different LEDs, so you fit choose di color wey you like.
+
+#### Task - connect di LED
+
+Connect di LED.
+
+![A grove LED](../../../../../translated_images/grove-led.6c853be93f473cf2c439cfc74bb1064732b22251a83cedf66e62f783f9cc1a79.pcm.png)
+
+1. Choose di LED wey you like and put di legs inside di two holes for di LED module.
+
+    LEDs na light-emitting diodes, and diodes na electronic device wey fit carry current only one way. Dis mean say di LED need to connect di correct way, if not e no go work.
+
+    One leg of di LED na di positive pin, di other one na di negative pin. Di LED no dey perfectly round, e dey small flat for one side. Di small flat side na di negative pin. When you dey connect di LED to di module, make sure say di pin wey dey di round side connect to di socket wey dem mark **+** for di outside of di module, and di flat side connect to di socket wey dey close to di middle of di module.
+
+1. Di LED module get spin button wey fit control di brightness. Turn am all di way up first by rotating am anti-clockwise as e fit go using small Phillips head screwdriver.
+
+1. Put one end of Grove cable inside di socket for di LED module. E go only enter one way.
+
+1. Make sure say di Wio Terminal no connect to your computer or any power supply, then connect di other end of di Grove cable to di right-hand side Grove socket for di Wio Terminal as you dey look di screen. Dis socket na di one wey far pass di power button.
+
+    > 💁 Di right-hand Grove socket fit work with analog or digital sensors and actuators. Di left-hand socket na for I<sup>2</sup>C and digital sensors and actuators only. I<sup>2</sup>C go dey explain for later lesson.
+
+![Di grove LED wey connect to di right hand socket](../../../../../translated_images/wio-led.265a1897e72d7f21c753257516a4b677d8e30ce2b95fee98189458b3275ba0a6.pcm.png)
+
+## Program di nightlight
+
+Now you fit program di nightlight using di built-in light sensor and di Grove LED.
+
+### Task - program di nightlight
+
+Program di nightlight.
+
+1. Open di nightlight project for VS Code wey you create for di last part of dis assignment.
+
+1. Add dis line to di bottom of di `setup` function:
+
+    ```cpp
+    pinMode(D0, OUTPUT);
+    ```
+
+    Dis line dey configure di pin wey dem dey use to communicate with di LED through di Grove port.
+
+    Di `D0` pin na di digital pin for di right-hand Grove socket. Dis pin dey set to `OUTPUT`, meaning e dey connect to actuator and data go dey write to di pin.
+
+1. Add dis code immediately before di `delay` for di loop function:
+
+    ```cpp
+    if (light < 300)
+    {
+        digitalWrite(D0, HIGH);
+    }
+    else
+    {
+        digitalWrite(D0, LOW);
+    }
+    ```
+
+    Dis code dey check di `light` value. If e dey less than 300, e go send `HIGH` value to di `D0` digital pin. Dis `HIGH` na value of 1, e go turn di LED on. If di light dey 300 or more, e go send `LOW` value of 0 to di pin, e go turn di LED off.
+
+    > 💁 When you dey send digital values to actuators, LOW value na 0v, and HIGH value na di max voltage for di device. For di Wio Terminal, di HIGH voltage na 3.3V.
+
+1. Connect di Wio Terminal back to your computer, and upload di new code like you do before.
+
+1. Connect di Serial Monitor. Di light values go dey show for di terminal.
+
+    ```output
+    > Executing task: platformio device monitor <
+
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Light value: 4
+    Light value: 5
+    Light value: 4
+    Light value: 158
+    Light value: 343
+    Light value: 348
+    Light value: 344
+    ```
+
+1. Cover and uncover di light sensor. You go notice say di LED go light up if di light level dey 300 or less, and e go off when di light level dey more than 300.
+
+![Di LED wey connect to di WIO dey turn on and off as di light level dey change](../../../../../images/wio-running-assignment-1-1.gif)
+
+> 💁 You fit find dis code for di [code-actuator/wio-terminal](../../../../../1-getting-started/lessons/3-sensors-and-actuators/code-actuator/wio-terminal) folder.
+
+😀 Your nightlight program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey im native language na di main source wey you go trust. For important mata, e better make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-sensor.md b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-sensor.md
new file mode 100644
index 000000000..72155b235
--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-sensor.md
@@ -0,0 +1,89 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "7f4ad0ef54f248b85b92187c94cf9dcb",
+  "translation_date": "2025-11-18T18:44:28+00:00",
+  "source_file": "1-getting-started/lessons/3-sensors-and-actuators/wio-terminal-sensor.md",
+  "language_code": "pcm"
+}
+-->
+# Add sensor - Wio Terminal
+
+For dis part of di lesson, you go use di light sensor wey dey your Wio Terminal.
+
+## Hardware
+
+Di sensor for dis lesson na **light sensor** wey dey use [photodiode](https://wikipedia.org/wiki/Photodiode) to change light to electric signal. Dis na analog sensor wey dey send number value from 0 to 1,023 wey show how much light dey, but e no dey match any standard measurement like [lux](https://wikipedia.org/wiki/Lux).
+
+Di light sensor dey inside di Wio Terminal and you fit see am through di clear plastic window wey dey di back.
+
+![Di light sensor wey dey di back of di Wio Terminal](../../../../../translated_images/wio-light-sensor.b1f529f3c95f51654f2e2c1d2d4b55fe547d189f588c974f5c2462c728133840.pcm.png)
+
+## Program di light sensor
+
+Di device fit now dey programmed to use di built-in light sensor.
+
+### Task
+
+Program di device.
+
+1. Open di nightlight project for VS Code wey you don create for di last part of dis assignment.
+
+1. Add dis line for di bottom of di `setup` function:
+
+    ```cpp
+    pinMode(WIO_LIGHT, INPUT);
+    ```
+
+    Dis line dey set di pins wey go work with di sensor hardware.
+
+    Di `WIO_LIGHT` pin na di number of di GPIO pin wey connect to di onboard light sensor. Dis pin dey set to `INPUT`, meaning say e dey connect to sensor and e go read data from di pin.
+
+1. Delete wetin dey inside di `loop` function.
+
+1. Add dis code for di empty `loop` function.
+
+    ```cpp
+    int light = analogRead(WIO_LIGHT);
+    Serial.print("Light value: ");
+    Serial.println(light);
+    ```
+
+    Dis code dey read analog value from di `WIO_LIGHT` pin. E dey read value from 0-1,023 from di onboard light sensor. Di value go then dey send to di serial port so you fit read am for di Serial Monitor when dis code dey run. `Serial.print` dey write di text without new line for di end, so each line go start with `Light value:` and end with di actual light value.
+
+1. Add small delay of one second (1,000ms) for di end of di `loop` because light levels no need to dey check every time. Delay dey help reduce di power wey di device dey use.
+
+    ```cpp
+    delay(1000);
+    ```
+
+1. Connect di Wio Terminal back to your computer, and upload di new code like you don do before.
+
+1. Connect di Serial Monitor. Light values go dey show for di terminal. Cover and uncover di light sensor wey dey di back of di Wio Terminal, and di values go dey change.
+
+    ```output
+    > Executing task: platformio device monitor <
+
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Light value: 4
+    Light value: 5
+    Light value: 4
+    Light value: 158
+    Light value: 343
+    Light value: 348
+    Light value: 344
+    ```
+
+> 💁 You fit find dis code for di [code-sensor/wio-terminal](../../../../../1-getting-started/lessons/3-sensors-and-actuators/code-sensor/wio-terminal) folder.
+
+😀 Adding sensor to your nightlight program na success!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/README.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "71b5040e0b3472f1c0949c9b55f224c0",
+  "translation_date": "2025-11-18T18:29:00+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/README.md",
+  "language_code": "pcm"
+}
+-->
+# Connect your device to di Internet
+
+![A sketchnote overview of dis lesson](../../../../../translated_images/lesson-4.7344e074ea68fa545fd320b12dce36d72dd62d28c3b4596cb26cf315f434b98f.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis lesson na part of di [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) wey di [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn) teach. Di lesson get two videos - one 1-hour lesson, and one 1-hour office hour wey go deep into di lesson and answer questions.
+
+[![Lesson 4: Connect your Device to di Internet](https://img.youtube.com/vi/O4dd172mZhs/0.jpg)](https://youtu.be/O4dd172mZhs)
+
+[![Lesson 4: Connect your Device to di Internet - Office hours](https://img.youtube.com/vi/j-cVCzRDE2Q/0.jpg)](https://youtu.be/j-cVCzRDE2Q)
+
+> 🎥 Click di images above to watch di videos
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/7)
+
+## Introduction
+
+Di **I** for IoT mean **Internet** - na di cloud connectivity and services wey dey make plenty IoT device features possible, like to gather measurements from sensors wey connect to di device, or to send message wey go control actuators. IoT devices dey usually connect to one cloud IoT service wey dey use standard communication protocol, and di service dey connect to di rest of your IoT application, like AI services to make smart decisions with your data, or web apps for control or reporting.
+
+> 🎓 Data wey sensors gather and send go cloud na wetin dem dey call telemetry.
+
+IoT devices fit receive message from di cloud. Di message fit carry commands - instructions to do something either inside di device (like reboot or update firmware), or with actuator (like to on light).
+
+Dis lesson go show you some communication protocols wey IoT devices fit use to connect to di cloud, and di kind data dem fit send or receive. You go also try am yourself, add internet control to your nightlight, and move di LED control logic go 'server' code wey go dey run for your local machine.
+
+For dis lesson, we go talk about:
+
+* [Communication protocols](../../../../../1-getting-started/lessons/4-connect-internet)
+* [Message Queueing Telemetry Transport (MQTT)](../../../../../1-getting-started/lessons/4-connect-internet)
+* [Telemetry](../../../../../1-getting-started/lessons/4-connect-internet)
+* [Commands](../../../../../1-getting-started/lessons/4-connect-internet)
+
+## Communication protocols
+
+Plenty popular communication protocols dey wey IoT devices dey use to talk with di Internet. Di most popular ones dey use publish/subscribe messaging through broker. Di IoT devices go connect to di broker, publish telemetry, and subscribe to commands. Di cloud services go also connect to di broker, subscribe to all di telemetry messages, and publish commands to specific devices or groups of devices.
+
+![IoT devices connect to a broker and publish telemetry and subscribe to commands. Cloud services connect to di broker and subscribe to all telemetry and send commands to specific devices.](../../../../../translated_images/pub-sub.7c7ed43fe9fd15d4e1f81a3fd95440413c457acd9bcbe9a43341e30e88db5264.pcm.png)
+
+MQTT na di most popular communication protocol for IoT devices and we go talk about am for dis lesson. Other protocols include AMQP and HTTP/HTTPS.
+
+## Message Queueing Telemetry Transport (MQTT)
+
+[MQTT](http://mqtt.org) na lightweight, open standard messaging protocol wey fit send messages between devices. Dem design am for 1999 to monitor oil pipelines, before IBM release am as open standard 15 years later.
+
+MQTT get one broker and plenty clients. All di clients go connect to di broker, and di broker go route messages to di clients wey need am. Messages dey route using named topics, instead of sending directly to one client. Client fit publish to one topic, and any client wey subscribe to dat topic go receive di message.
+
+![IoT device publishing telemetry on di /telemetry topic, and di cloud service subscribing to dat topic](../../../../../translated_images/mqtt.cbf7f21d9adc3e17548b359444cc11bb4bf2010543e32ece9a47becf54438c23.pcm.png)
+
+✅ Do small research. If you get plenty IoT devices, how you go make sure say your MQTT broker fit handle all di messages?
+
+### Connect your IoT device to MQTT
+
+Di first step to add Internet control to your nightlight na to connect am to MQTT broker.
+
+#### Task
+
+Connect your device to MQTT broker.
+
+For dis part of di lesson, you go connect your IoT nightlight to di internet so you fit control am remotely. Later for dis lesson, your IoT device go send telemetry message through MQTT to public MQTT broker with di light level, and server code wey you go write go pick am up. Di code go check di light level and send command message back to di device to tell am to on or off di LED.
+
+For real life, dis kind setup fit dey useful to gather data from plenty light sensors before deciding to on lights, like for stadium wey get plenty lights. E fit stop di lights from on if only one sensor dey under cloud or bird, but di other sensors dey detect enough light.
+
+✅ Wetin be other situations wey go need data from plenty sensors before dem send commands?
+
+Instead of setting up MQTT broker for dis assignment, you fit use public test server wey dey run [Eclipse Mosquitto](https://www.mosquitto.org), open-source MQTT broker. Dis test broker dey public for [test.mosquitto.org](https://test.mosquitto.org), and you no need account to use am, so e good for testing MQTT clients and servers.
+
+> 💁 Dis test broker dey public and e no secure. Anybody fit dey listen to wetin you publish, so no use am for private data.
+
+![A flow chart of di assignment showing light levels being read and checked, and di LED begin controlled](../../../../../translated_images/assignment-1-internet-flow.3256feab5f052fd273bf4e331157c574c2c3fa42e479836fc9c3586f41db35a5.pcm.png)
+
+Follow di step wey concern you to connect your device to di MQTT broker:
+
+* [Arduino - Wio Terminal](wio-terminal-mqtt.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-mqtt.md)
+
+### A deeper dive into MQTT
+
+Topics fit get hierarchy, and clients fit subscribe to different levels of di hierarchy using wildcards. For example, you fit send temperature telemetry messages to di `/telemetry/temperature` topic and humidity messages to di `/telemetry/humidity` topic, then for your cloud app subscribe to di `/telemetry/*` topic to receive both di temperature and humidity telemetry messages.
+
+Messages fit get quality of service (QoS), wey go determine di guarantee say di message go deliver.
+
+* At most once - di message go send only once and di client and broker no go do extra steps to confirm delivery (fire and forget).
+* At least once - di sender go retry di message many times until e get confirmation (acknowledged delivery).
+* Exactly once - di sender and receiver go do two-level handshake to make sure say only one copy of di message go deliver (assured delivery).
+
+✅ Wetin be di kind situations wey go need assured delivery message instead of fire and forget message?
+
+Even though di name na Message Queueing (MQTT), e no really support message queues. Dis mean say if client disconnect, then reconnect, e no go receive messages wey dem send during di disconnection, except di ones wey e don already start to process using di QoS process. Messages fit get retained flag. If dem set dis flag, di MQTT broker go store di last message wey dem send on di topic and send am to any client wey later subscribe to di topic. Dis way, di clients go always get di latest message.
+
+MQTT also get keep alive function wey dey check if di connection still dey alive during long gaps between messages.
+
+> 🦟 [Mosquitto from di Eclipse Foundation](https://mosquitto.org) get free MQTT broker wey you fit run by yourself to experiment with MQTT, and public MQTT broker wey you fit use to test your code, hosted for [test.mosquitto.org](https://test.mosquitto.org).
+
+MQTT connections fit dey public and open, or encrypted and secured using usernames and passwords, or certificates.
+
+> 💁 MQTT dey communicate through TCP/IP, di same network protocol wey HTTP dey use, but for different port. You fit also use MQTT over websockets to communicate with web apps wey dey run for browser, or for situations wey firewalls or other network rules dey block standard MQTT connections.
+
+## Telemetry
+
+Di word telemetry come from Greek roots wey mean to measure remotely. Telemetry na di act of gathering data from sensors and sending am go cloud.
+
+> 💁 One of di first telemetry devices dem invent am for France for 1874 and e dey send real-time weather and snow depths from Mont Blanc go Paris. E use physical wires because wireless technology no dey dat time.
+
+Make we look di example of di smart thermostat from Lesson 1.
+
+![An Internet connected thermostat using multiple room sensors](../../../../../translated_images/telemetry.21e5d8b97649d2ebeb0f68d4b9691ab2d1f7bd629338e131465aff8a614e4d4a.pcm.png)
+
+Di thermostat get temperature sensors to gather telemetry. E go most likely get one temperature sensor inside, and e fit connect to plenty external temperature sensors through wireless protocol like [Bluetooth Low Energy](https://wikipedia.org/wiki/Bluetooth_Low_Energy) (BLE).
+
+Example of di telemetry data wey e fit send be:
+
+| Name | Value | Description |
+| ---- | ----- | ----------- |
+| `thermostat_temperature` | 18°C | Di temperature wey di thermostat's built-in temperature sensor measure |
+| `livingroom_temperature` | 19°C | Di temperature wey remote temperature sensor measure, wey dem name `livingroom` to show di room wey e dey |
+| `bedroom_temperature` | 21°C | Di temperature wey remote temperature sensor measure, wey dem name `bedroom` to show di room wey e dey |
+
+Di cloud service fit use dis telemetry data to decide wetin commands to send to control di heating.
+
+### Send telemetry from your IoT device
+
+Di next step to add Internet control to your nightlight na to send di light level telemetry go MQTT broker for telemetry topic.
+
+#### Task - send telemetry from your IoT device
+
+Send light level telemetry go MQTT broker.
+
+Data dey encode as JSON - short for JavaScript Object Notation, standard way to encode data as text using key/value pairs.
+
+✅ If JSON no dey familiar to you, you fit learn more about am for [JSON.org documentation](https://www.json.org/).
+
+Follow di step wey concern you to send telemetry from your device go MQTT broker:
+
+* [Arduino - Wio Terminal](wio-terminal-telemetry.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-telemetry.md)
+
+### Receive telemetry from di MQTT broker
+
+E no make sense to dey send telemetry if nothing dey to listen to am. Di light level telemetry need something wey go dey listen to am to process di data. Dis 'server' code na di kind code wey you go deploy to cloud service as part of bigger IoT application, but for here you go run am locally for your computer (or for your Pi if na there you dey code). Di server code na Python app wey dey listen to telemetry messages through MQTT with light levels. Later for dis lesson, you go make am reply with command message wey go tell di LED to on or off.
+
+✅ Do small research: Wetin go happen to MQTT messages if no listener dey?
+
+#### Install Python and VS Code
+
+If you no get Python and VS Code for your computer, you go need install dem to code di server. If you dey use virtual IoT device, or you dey work for your Raspberry Pi, you fit skip dis step because you suppose don already get am installed and configured.
+
+##### Task - install Python and VS Code
+
+Install Python and VS Code.
+
+1. Install Python. Check di [Python downloads page](https://www.python.org/downloads/) for instructions on how to install di latest version of Python.
+
+1. Install Visual Studio Code (VS Code). Na di editor wey you go use to write your virtual device code for Python. Check di [VS Code documentation](https://code.visualstudio.com?WT.mc_id=academic-17441-jabenn) for instructions on how to install VS Code.
+
+    > 💁 You fit use any Python IDE or editor wey you like for dis lessons, but di instructions go dey based on VS Code.
+
+1. Install di VS Code Pylance extension. Dis extension dey give Python language support for VS Code. Check di [Pylance extension documentation](https://marketplace.visualstudio.com/items?WT.mc_id=academic-17441-jabenn&itemName=ms-python.vscode-pylance) for instructions on how to install dis extension for VS Code.
+
+#### Configure a Python virtual environment
+One strong thing wey Python fit do na say e fit make you install [pip packages](https://pypi.org) - dis na code wey other people don write and put for internet. You fit install pip package for your computer with one command, then use am for your code. You go use pip to install one package wey go help you talk over MQTT.
+
+Normally, when you install package, e go dey available everywhere for your computer, but dis fit cause wahala with package versions - like one app wey need one version of package go spoil if you install new version for another app. To avoid dis wahala, you fit use [Python virtual environment](https://docs.python.org/3/library/venv.html), wey be like copy of Python for one folder, and when you install pip packages, dem go dey only for dat folder.
+
+##### Task - set up Python virtual environment
+
+Set up Python virtual environment and install MQTT pip packages.
+
+1. For your terminal or command line, run dis command for any place wey you like to create and enter new directory:
+
+    ```sh
+    mkdir nightlight-server
+    cd nightlight-server
+    ```
+
+1. Run dis command to create virtual environment for `.venv` folder:
+
+    ```sh
+    python3 -m venv .venv
+    ```
+
+    > 💁 You need to use `python3` to create virtual environment because if you get Python 2 join Python 3 (wey be latest version), calling `python` go use Python 2 instead of Python 3.
+
+1. Activate the virtual environment:
+
+    * For Windows:
+        * If you dey use Command Prompt or Command Prompt through Windows Terminal, run:
+
+            ```cmd
+            .venv\Scripts\activate.bat
+            ```
+
+        * If you dey use PowerShell, run:
+
+            ```powershell
+            .\.venv\Scripts\Activate.ps1
+            ```
+
+    * For macOS or Linux, run:
+
+        ```cmd
+        source ./.venv/bin/activate
+        ```
+
+    > 💁 Make sure say you dey for same place wey you run the command to create virtual environment. You no need to enter `.venv` folder, just run the activate command and any command to install packages or run code from the folder wey you dey when you create the virtual environment.
+
+1. Once you don activate the virtual environment, the default `python` command go run the Python version wey dem use create the virtual environment. Run dis command to check the version:
+
+    ```sh
+    python --version
+    ```
+
+    The output go look like dis:
+
+    ```output
+    (.venv) ➜  nightlight-server python --version
+    Python 3.9.1
+    ```
+
+    > 💁 Your Python version fit dey different - as long as e be version 3.6 or higher, you dey okay. If not, delete dis folder, install newer Python version and try again.
+
+1. Run dis command to install pip package for [Paho-MQTT](https://pypi.org/project/paho-mqtt/), wey be popular MQTT library.
+
+    ```sh
+    pip install paho-mqtt
+    ```
+
+    Dis pip package go dey only for the virtual environment, e no go dey available outside am.
+
+#### Write server code
+
+Now you fit write server code for Python.
+
+##### Task - write server code
+
+Write server code.
+
+1. For your terminal or command line, run dis command inside the virtual environment to create Python file wey dem call `app.py`:
+
+    * For Windows, run:
+
+        ```cmd
+        type nul > app.py
+        ```
+
+    * For macOS or Linux, run:
+
+        ```cmd
+        touch app.py
+        ```
+
+1. Open the current folder for VS Code:
+
+    ```sh
+    code .
+    ```
+
+1. When VS Code open, e go activate the Python virtual environment. You go see am for the bottom status bar:
+
+    ![VS Code dey show selected virtual environment](../../../../../translated_images/vscode-virtual-env.8ba42e04c3d533cf677e16cbe5ed9a3b80f62c6964472dc84b6f940800f0909f.pcm.png)
+
+1. If VS Code Terminal dey already run when VS Code start, e no go activate the virtual environment for am. The easiest way na to kill the terminal using **Kill the active terminal instance** button:
+
+    ![VS Code Kill the active terminal instance button](../../../../../translated_images/vscode-kill-terminal.1cc4de7c6f25ee08f423f0ead714e61d069fac1eb2089e97b8a7bbcb3d45fe5e.pcm.png)
+
+1. Open new VS Code Terminal by selecting *Terminal -> New Terminal, or pressing `` CTRL+` ``. The new terminal go load the virtual environment, and you go see the activate command for the terminal. The name of the virtual environment (`.venv`) go dey for the prompt:
+
+    ```output
+    ➜  nightlight-server source .venv/bin/activate
+    (.venv) ➜  nightlight 
+    ```
+
+1. Open the `app.py` file from VS Code explorer and add dis code:
+
+    ```python
+    import json
+    import time
+    
+    import paho.mqtt.client as mqtt
+    
+    id = '<ID>'
+    
+    client_telemetry_topic = id + '/telemetry'
+    client_name = id + 'nightlight_server'
+    
+    mqtt_client = mqtt.Client(client_name)
+    mqtt_client.connect('test.mosquitto.org')
+    
+    mqtt_client.loop_start()
+    
+    def handle_telemetry(client, userdata, message):
+        payload = json.loads(message.payload.decode())
+        print("Message received:", payload)
+    
+    mqtt_client.subscribe(client_telemetry_topic)
+    mqtt_client.on_message = handle_telemetry
+    
+    while True:
+        time.sleep(2)
+    ```
+
+    Change `<ID>` for line 6 to the unique ID wey you use when you create your device code.
+
+    ⚠️ Dis **must** be the same ID wey you use for your device, or the server code no go subscribe or publish to the correct topic.
+
+    Dis code go create MQTT client with unique name, connect to *test.mosquitto.org* broker, and start processing loop wey dey run for background thread dey listen for messages for any subscribed topics.
+
+    The client go subscribe to messages for telemetry topic, and e go define function wey dem go call when message land. When telemetry message land, the `handle_telemetry` function go run, print the message wey e receive for console.
+
+    Finally, infinite loop go keep the app dey run. The MQTT client dey listen to messages for background thread and e go dey run as long as the main app dey run.
+
+1. From VS Code terminal, run dis command to run your Python app:
+
+    ```sh
+    python app.py
+    ```
+
+    The app go start dey listen to messages from the IoT device.
+
+1. Make sure say your device dey run and dey send telemetry messages. Adjust the light levels wey your physical or virtual device dey detect. Messages wey dem receive go dey print for terminal.
+
+    ```output
+    (.venv) ➜  nightlight-server python app.py
+    Message received: {'light': 0}
+    Message received: {'light': 400}
+    ```
+
+    The app.py file for nightlight virtual environment gatz dey run for the app.py file for nightlight-server virtual environment to fit receive the messages wey dem dey send.
+
+> 💁 You fit find dis code for [code-server/server](../../../../../1-getting-started/lessons/4-connect-internet/code-server/server) folder.
+
+### How often telemetry go dey send?
+
+One important thing for telemetry na how often you go measure and send the data? The answer na - e depend. If you measure often, you fit respond quick to changes, but e go use more power, more bandwidth, generate more data and need more cloud resources to process. You gatz measure often enough, but no too much.
+
+For thermostat, measuring every few minutes fit dey okay because temperature no dey change often. If you measure once a day, you fit dey heat your house for night temperature for middle of sunny day, but if you measure every second, you go get thousands of unnecessary temperature measurements wey go slow down Internet speed, use more power (problem for battery-powered devices), and increase cost for cloud computing resources.
+
+If you dey monitor machine for factory wey fit cause big damage if e spoil, measuring multiple times per second fit dey necessary. E better make you waste bandwidth than miss telemetry wey fit show say machine need repair before e spoil.
+
+> 💁 For dis kind situation, you fit use edge device to process telemetry first to reduce Internet wahala.
+
+### Loss of connectivity
+
+Internet connection fit dey unreliable, with outages dey happen. Wetin IoT device go do if dis kind thing happen - e go lose the data or e go store am till connection come back? Again, e depend.
+
+For thermostat, the data fit dey lost as soon as new temperature measurement don dey. The heating system no go care say 20 minutes ago e be 20.5°C if the temperature now na 19°C, na the temperature now go determine if heating go dey on or off.
+
+For machine, you fit wan keep the data, especially if e dey used to check trends. Machine learning models fit detect anomalies for data streams by looking over data for defined time (like last hour) and spotting strange data. Dis dey used for predictive maintenance, to check if something fit spoil soon so you fit repair or replace am before e happen. You fit wan send every telemetry for machine so e fit process for anomaly detection, so once IoT device reconnect, e go send all telemetry wey e generate during Internet outage.
+
+IoT device designers gatz think if IoT device fit dey useful during Internet outage or loss of signal because of location. Smart thermostat fit make small decisions to control heating if e no fit send telemetry to cloud because of outage.
+
+[![Dis Ferrari spoil because person try upgrade am underground wey no get cell reception](../../../../../translated_images/bricked-car.dc38f8efadc6c59d76211f981a521efb300939283dee468f79503aae3ec67615.pcm.png)](https://twitter.com/internetofshit/status/1315736960082808832)
+
+For MQTT to handle loss of connectivity, the device and server code go gatz make sure say message delivery dey happen if e dey needed, like requiring all messages wey dem send to get reply for reply topic, and if e no get reply, dem go queue am manually to send later.
+
+## Commands
+
+Commands na messages wey cloud dey send to device, dey tell am wetin to do. Most times, e dey involve giving output through actuator, but e fit be instruction for the device itself, like to reboot or gather extra telemetry and send am back.
+
+![Internet thermostat dey receive command to turn on heating](../../../../../translated_images/commands.d6c06bbbb3a02cce95f2831a1c331daf6dedd4e470c4aa2b0ae54f332016e504.pcm.png)
+
+Thermostat fit receive command from cloud to turn heating on. Based on telemetry data from sensors, if cloud service don decide say heating gatz dey on, e go send the command.
+
+### Send commands to MQTT broker
+
+The next step for our Internet-controlled nightlight na for server code to send command back to IoT device to control light based on the light levels e dey sense.
+
+1. Open the server code for VS Code
+
+1. Add dis line after the `client_telemetry_topic` declaration to define topic to send commands:
+
+    ```python
+    server_command_topic = id + '/commands'
+    ```
+
+1. Add dis code to the end of `handle_telemetry` function:
+
+    ```python
+    command = { 'led_on' : payload['light'] < 300 }
+    print("Sending message:", command)
+    
+    client.publish(server_command_topic, json.dumps(command))
+    ```
+
+    Dis go send JSON message to command topic with `led_on` value set to true or false depending on if light dey less than 300 or not. If light dey less than 300, e go send true to tell device to turn LED on.
+
+1. Run the code as before
+
+1. Adjust the light levels wey your physical or virtual device dey detect. Messages wey dem receive and commands wey dem send go dey show for terminal:
+
+    ```output
+    (.venv) ➜  nightlight-server python app.py
+    Message received: {'light': 0}
+    Sending message: {'led_on': True}
+    Message received: {'light': 400}
+    Sending message: {'led_on': False}
+    ```
+
+> 💁 The telemetry and commands dey send for single topic each. Dis mean telemetry from many devices go dey show for same telemetry topic, and commands to many devices go dey show for same commands topic. If you wan send command to one device, you fit use many topics, wey get unique device id, like `/commands/device1`, `/commands/device2`. Dis way, device fit dey listen to messages wey dem send only to am.
+
+> 💁 You fit find dis code for [code-commands/server](../../../../../1-getting-started/lessons/4-connect-internet/code-commands/server) folder.
+
+### Handle commands for IoT device
+
+Now wey commands dey sent from server, you fit add code for IoT device to handle dem and control LED.
+
+Follow the step wey match your device to listen to commands from MQTT broker:
+
+* [Arduino - Wio Terminal](wio-terminal-commands.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-commands.md)
+
+Once dis code don dey written and dey run, try change light levels. Check the output from server and device, and check the LED as you dey change light levels.
+
+### Loss of connectivity
+
+Wetin cloud service go do if e need send command to IoT device wey no dey online? Again, e depend.
+
+If latest command dey override earlier one, dem fit ignore the earlier ones. If cloud service send command to turn heating on, then send command to turn am off, dem fit ignore the on command and no resend am.
+
+If commands gatz dey processed in order, like move robot arm up, then close grabber, dem gatz send am in order once connection come back.
+
+✅ How device or server code fit make sure say commands dey always sent and handled in order over MQTT if e dey needed?
+
+---
+
+## 🚀 Challenge
+
+The challenge for the last three lessons na to list as many IoT devices wey dey your house, school or work, and decide if dem dey built around microcontrollers or single-board computers, or even mix of both, and think about the sensors and actuators wey dem dey use.
+
+For dis devices, think about the messages wey dem fit dey send or receive. Wetin telemetry dem dey send? Wetin messages or commands dem fit dey receive? You think say dem dey secure?
+
+## Post-lecture quiz
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/8)
+
+## Review & Self Study
+
+Make you read more about MQTT for [MQTT Wikipedia page](https://wikipedia.org/wiki/MQTT).
+
+Try make MQTT broker by yasef using [Mosquitto](https://www.mosquitto.org) and connect am to your IoT device and server code.
+
+> 💁 Tip - normally, Mosquitto no dey allow anonymous connections (wey mean say you no fit connect without username and password), e no dey allow connections from outside di computer wey e dey run on top.
+> You fit fix dis one with [`mosquitto.conf` config file](https://www.mosquitto.org/man/mosquitto-conf-5.html) wey get dis:
+>
+> ```sh
+> listener 1883 0.0.0.0
+> allow_anonymous true
+> ```
+
+## Assignment
+
+[Compare and contrast MQTT with other communication protocols](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original docu for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/assignment.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "0d4033cdd7b5b5475c63770102e38480",
+  "translation_date": "2025-11-18T18:31:09+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Compare and contrast MQTT wit oda communication protocols
+
+## Instructions
+
+Dis lesson talk about MQTT as one communication protocol. E get oda ones, like AMQP and HTTP/HTTPS.
+
+Make you do research on dis two and compare dem wit MQTT. Think about power usage, security, and how message go still dey if connection cut.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Compare AMQP to MQTT | Fit compare and contrast AMQP wit MQTT well and e cover power, security, and how message go still dey. | Fit partly compare and contrast AMQP wit MQTT and e cover two out of power, security, and how message go still dey. | Fit partly compare and contrast AMQP wit MQTT and e cover one out of power, security, and how message go still dey. |
+| Compare HTTP/HTTPS to MQTT | Fit compare and contrast HTTP/HTTPS wit MQTT well and e cover power, security, and how message go still dey. | Fit partly compare and contrast HTTP/HTTPS wit MQTT and e cover two out of power, security, and how message go still dey. | Fit partly compare and contrast HTTP/HTTPS wit MQTT and e cover one out of power, security, and how message go still dey. |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take responsibility for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-commands.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-commands.md
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@@ -0,0 +1,69 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c527ce85d69b1a3875366ec61cbed8aa",
+  "translation_date": "2025-11-18T18:28:46+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/single-board-computer-commands.md",
+  "language_code": "pcm"
+}
+-->
+# Control your nightlight over the Internet - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go subscribe to commands wey dem send from one MQTT broker go your Raspberry Pi or virtual IoT device.
+
+## Subscribe to commands
+
+Di next step na to subscribe to di commands wey dem send from di MQTT broker and respond to dem.
+
+### Task
+
+Subscribe to commands.
+
+1. Open di nightlight project for VS Code.
+
+1. If you dey use virtual IoT device, make sure say di terminal dey run di virtual environment. If na Raspberry Pi you dey use, you no go need virtual environment.
+
+1. Add dis code after di definitions of di `client_telemetry_topic`:
+
+    ```python
+    server_command_topic = id + '/commands'
+    ```
+
+   Di `server_command_topic` na di MQTT topic wey di device go subscribe to take receive LED commands.
+
+1. Add dis code just above di main loop, after di `mqtt_client.loop_start()` line:
+
+    ```python
+    def handle_command(client, userdata, message):
+        payload = json.loads(message.payload.decode())
+        print("Message received:", payload)
+    
+        if payload['led_on']:
+            led.on()
+        else:
+            led.off()
+    
+    mqtt_client.subscribe(server_command_topic)
+    mqtt_client.on_message = handle_command
+    ```
+
+   Dis code dey define one function, `handle_command`, wey go read message as JSON document and go find di value of di `led_on` property. If dem set am to `True`, di LED go turn on, but if no be so, e go turn off.
+
+   Di MQTT client go subscribe to di topic wey di server go dey send messages on, and e go set di `handle_command` function to run anytime message enter.
+
+   > 💁 Di `on_message` handler dey run for all di topics wey you subscribe to. If later you write code wey dey listen to plenty topics, you fit use di `message` object wey dem pass to di handler function to know di topic wey di message come from.
+
+1. Run di code di same way wey you take run di code for di previous part of di assignment. If you dey use virtual IoT device, make sure say di CounterFit app dey run and say you don create di light sensor and LED for di correct pins.
+
+1. Adjust di light levels wey your physical or virtual device dey detect. Messages wey dem dey receive and commands wey dem dey send go show for di terminal. Di LED go dey turn on and off based on di light level.
+
+> 💁 You fit find dis code for di [code-commands/virtual-device](../../../../../1-getting-started/lessons/4-connect-internet/code-commands/virtual-device) folder or di [code-commands/pi](../../../../../1-getting-started/lessons/4-connect-internet/code-commands/pi) folder.
+
+😀 You don successfully code your device to dey respond to commands from one MQTT broker.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original document for di language wey dem write am first na di main correct source. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-mqtt.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-mqtt.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "90fb93446e03c38f3c0e4009c2471906",
+  "translation_date": "2025-11-18T18:30:43+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/single-board-computer-mqtt.md",
+  "language_code": "pcm"
+}
+-->
+# Control your nightlight for Internet - Virtual IoT Hardware and Raspberry Pi
+
+Di IoT device go need code wey go fit connect wit *test.mosquitto.org* using MQTT to send telemetry values wit di light sensor reading, and receive commands to control di LED.
+
+For dis part of di lesson, you go connect your Raspberry Pi or virtual IoT device to one MQTT broker.
+
+## Install di MQTT client package
+
+To fit communicate wit di MQTT broker, you go need install one MQTT library pip package either for your Pi, or for your virtual environment if you dey use virtual device.
+
+### Task
+
+Install di pip package
+
+1. Open di nightlight project for VS Code.
+
+1. If you dey use virtual IoT device, make sure say di terminal dey run di virtual environment. If you dey use Raspberry Pi, you no go dey use virtual environment.
+
+1. Run dis command to install di MQTT pip package:
+
+    ```sh
+    pip3 install paho-mqtt
+    ```
+
+## Code di device
+
+Di device don ready to code.
+
+### Task
+
+Write di device code.
+
+1. Add dis import for di top of di `app.py` file:
+
+    ```python
+    import paho.mqtt.client as mqtt
+    ```
+
+    Di `paho.mqtt.client` library go allow your app to communicate wit MQTT.
+
+1. Add dis code after di definitions of di light sensor and LED:
+
+    ```python
+    id = '<ID>'
+
+    client_name = id + 'nightlight_client'
+    ```
+
+    Replace `<ID>` wit one unique ID wey go be di name of dis device client, and later for di topics wey dis device dey publish and subscribe to. Di *test.mosquitto.org* broker na public and e dey used by many people, including other students wey dey work on dis assignment. To get unique MQTT client name and topic names go make sure say your code no go clash wit anybody own. You go also need dis ID when you dey create di server code later for dis assignment.
+
+    > 💁 You fit use one website like [GUIDGen](https://www.guidgen.com) to generate one unique ID.
+
+    Di `client_name` na unique name for dis MQTT client for di broker.
+
+1. Add dis code below dis new code to create one MQTT client object and connect to di MQTT broker:
+
+    ```python
+    mqtt_client = mqtt.Client(client_name)
+    mqtt_client.connect('test.mosquitto.org')
+    
+    mqtt_client.loop_start()
+
+    print("MQTT connected!")
+    ```
+
+    Dis code dey create di client object, connect to di public MQTT broker, and e dey start one processing loop wey dey run for background thread dey listen for messages for any subscribed topics.
+
+1. Run di code di same way wey you run di code from di previous part of di assignment. If you dey use virtual IoT device, make sure say di CounterFit app dey run and di light sensor and LED don dey created for di correct pins.
+
+    ```output
+    (.venv) ➜  nightlight python app.py 
+    MQTT connected!
+    Light level: 0
+    Light level: 0
+    ```
+
+> 💁 You fit find dis code for di [code-mqtt/virtual-device](../../../../../1-getting-started/lessons/4-connect-internet/code-mqtt/virtual-device) folder or di [code-mqtt/pi](../../../../../1-getting-started/lessons/4-connect-internet/code-mqtt/pi) folder.
+
+😀 You don successfully connect your device to one MQTT broker.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automatic translation fit get mistake or no dey 100% correct. Di original docu for di language wey dem write am first na di main correct one. For important information, e go beta make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-telemetry.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-telemetry.md
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+++ b/translations/pcm/1-getting-started/lessons/4-connect-internet/single-board-computer-telemetry.md
@@ -0,0 +1,76 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "1226517aae5f5b6f904434670394c688",
+  "translation_date": "2025-11-18T18:26:22+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/single-board-computer-telemetry.md",
+  "language_code": "pcm"
+}
+-->
+# Control your nightlight for Internet - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go send telemetry wey get light levels from your Raspberry Pi or virtual IoT device go one MQTT broker.
+
+## Publish telemetry
+
+Di next step na to create one JSON document wey get telemetry and send am go di MQTT broker.
+
+### Task
+
+Publish telemetry go di MQTT broker.
+
+1. Open di nightlight project for VS Code.
+
+1. If you dey use virtual IoT device, make sure say di terminal dey run di virtual environment. If na Raspberry Pi you dey use, you no go need virtual environment.
+
+1. Add dis import for di top of di `app.py` file:
+
+    ```python
+    import json
+    ```
+
+   Di `json` library na im dem dey use to encode di telemetry as JSON document.
+
+1. Add dis one after di `client_name` declaration:
+
+    ```python
+    client_telemetry_topic = id + '/telemetry'
+    ```
+
+   Di `client_telemetry_topic` na di MQTT topic wey di device go dey publish di light levels put.
+
+1. Change wetin dey inside di `while True:` loop for di end of di file to dis one:
+
+    ```python
+    while True:
+        light = light_sensor.light
+        telemetry = json.dumps({'light' : light})
+
+        print("Sending telemetry ", telemetry)
+    
+        mqtt_client.publish(client_telemetry_topic, telemetry)
+    
+        time.sleep(5)
+    ```
+
+   Dis code go package di light level inside JSON document and publish am go di MQTT broker. E go then sleep small to reduce how often e dey send message.
+
+1. Run di code di same way wey you take run di code for di previous part of di assignment. If you dey use virtual IoT device, make sure say di CounterFit app dey run and di light sensor and LED don dey set for di correct pins.
+
+    ```output
+    (.venv) ➜  nightlight python app.py 
+    MQTT connected!
+    Sending telemetry  {"light": 0}
+    Sending telemetry  {"light": 0}
+    ```
+
+> 💁 You fit find dis code for di [code-telemetry/virtual-device](../../../../../1-getting-started/lessons/4-connect-internet/code-telemetry/virtual-device) folder or di [code-telemetry/pi](../../../../../1-getting-started/lessons/4-connect-internet/code-telemetry/pi) folder.
+
+😀 You don successfully send telemetry from your device.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take responsibility for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-commands.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-commands.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-commands.md
@@ -0,0 +1,95 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "6754c915dae64ba70fcd5e52c37f3adf",
+  "translation_date": "2025-11-18T18:26:50+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/wio-terminal-commands.md",
+  "language_code": "pcm"
+}
+-->
+# Control your nightlight for Internet - Wio Terminal
+
+For dis part of di lesson, you go subscribe to commands wey dem send from MQTT broker go your Wio Terminal.
+
+## Subscribe to commands
+
+Di next step na to subscribe to di commands wey dem send from di MQTT broker, and respond to dem.
+
+### Task
+
+Subscribe to commands.
+
+1. Open di nightlight project for VS Code.
+
+1. Add dis code for di bottom of di `config.h` file to define di topic name for di commands:
+
+    ```cpp
+    const string SERVER_COMMAND_TOPIC = ID + "/commands";
+    ```
+
+    Di `SERVER_COMMAND_TOPIC` na di topic wey di device go subscribe to so e fit receive LED commands.
+
+1. Add dis line for di end of di `reconnectMQTTClient` function to subscribe to di command topic when di MQTT client reconnect:
+
+    ```cpp
+    client.subscribe(SERVER_COMMAND_TOPIC.c_str());
+    ```
+
+1. Add dis code below di `reconnectMQTTClient` function.
+
+    ```cpp
+    void clientCallback(char *topic, uint8_t *payload, unsigned int length)
+    {
+        char buff[length + 1];
+        for (int i = 0; i < length; i++)
+        {
+            buff[i] = (char)payload[i];
+        }
+        buff[length] = '\0';
+    
+        Serial.print("Message received:");
+        Serial.println(buff);
+    
+        DynamicJsonDocument doc(1024);
+        deserializeJson(doc, buff);
+        JsonObject obj = doc.as<JsonObject>();
+    
+        bool led_on = obj["led_on"];
+    
+        if (led_on)
+            digitalWrite(D0, HIGH);
+        else
+            digitalWrite(D0, LOW);
+    }
+    ```
+
+    Dis function na di callback wey di MQTT client go call when e receive message from di server.
+
+    Di message dey come as array of unsigned 8-bit integers, so e need to change am to character array so e fit treat am as text.
+
+    Di message get JSON document inside, and e dey decode am using di ArduinoJson library. Di `led_on` property for di JSON document go dey read, and based on di value, di LED go turn on or off.
+
+1. Add dis code to di `createMQTTClient` function:
+
+    ```cpp
+    client.setCallback(clientCallback);
+    ```
+
+    Dis code go set di `clientCallback` as di callback wey dem go call when message dey received from di MQTT broker.
+
+    > 💁 Di `clientCallback` handler dey call for all topics wey you subscribe to. If later you write code wey dey listen to plenty topics, you fit get di topic wey dem send di message to from di `topic` parameter wey dem pass to di callback function.
+
+1. Upload di code go your Wio Terminal, and use di Serial Monitor to see di light levels wey dem dey send go di MQTT broker.
+
+1. Adjust di light levels wey your physical or virtual device dey detect. You go see messages wey dem dey receive and commands wey dem dey send for di terminal. You go also see di LED dey turn on and off based on di light level.
+
+> 💁 You fit find dis code for di [code-commands/wio-terminal](../../../../../1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal) folder.
+
+😀 You don successfully code your device to respond to commands from one MQTT broker.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg sabi say automated translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main correct source. For important information, e go beta make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md
new file mode 100644
index 000000000..d8e556e14
--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md
@@ -0,0 +1,253 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "d6faf0e8d3c2d6d20c0aef2a305dab18",
+  "translation_date": "2025-11-18T18:27:41+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md",
+  "language_code": "pcm"
+}
+-->
+# Control your nightlight for Internet - Wio Terminal
+
+Di IoT device go need code wey go make am fit connect wit *test.mosquitto.org* using MQTT to send telemetry values wit di light sensor reading, and receive commands to control di LED.
+
+For dis part of di lesson, you go connect your Wio Terminal to one MQTT broker.
+
+## Install di WiFi and MQTT Arduino libraries
+
+To fit connect wit di MQTT broker, you go need install some Arduino libraries wey go make you use di WiFi chip for di Wio Terminal, and connect wit MQTT. When you dey develop for Arduino devices, you fit use plenty libraries wey get open-source code and fit do many things. Seeed dey publish libraries for Wio Terminal wey go make am fit connect wit WiFi. Other developers don publish libraries wey go make am fit connect wit MQTT brokers, and you go use dem wit your device.
+
+Dis libraries dey as source code wey fit dey imported automatically into PlatformIO and compiled for your device. Dis way, Arduino libraries go work for any device wey support di Arduino framework, as long as di device get di hardware wey di library need. Some libraries, like di Seeed WiFi libraries, dey specific to some hardware.
+
+Libraries fit dey installed globally and compiled if e dey needed, or into one specific project. For dis assignment, di libraries go dey installed into di project.
+
+✅ You fit learn more about library management and how to find and install libraries for di [PlatformIO library documentation](https://docs.platformio.org/en/latest/librarymanager/index.html).
+
+### Task - install di WiFi and MQTT Arduino libraries
+
+Install di Arduino libraries.
+
+1. Open di nightlight project for VS Code.
+
+1. Add di following for di end of di `platformio.ini` file:
+
+    ```ini
+    lib_deps =
+        seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
+        seeed-studio/Seeed Arduino FS @ 2.1.1
+        seeed-studio/Seeed Arduino SFUD @ 2.0.2
+        seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
+        seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
+    ```
+
+    Dis one dey import di Seeed WiFi libraries. Di `@ <number>` syntax dey refer to one specific version number of di library.
+
+    > 💁 You fit remove di `@ <number>` to always use di latest version of di libraries, but e no sure say di later versions go work wit di code wey dey below. Di code wey dey here don dey tested wit dis version of di libraries.
+
+    Na all dis you need do to add di libraries. Next time wey PlatformIO go build di project, e go download di source code for dis libraries and compile am into your project.
+
+1. Add di following for di `lib_deps`:
+
+    ```ini
+    knolleary/PubSubClient @ 2.8
+    ```
+
+    Dis one dey import [PubSubClient](https://github.com/knolleary/pubsubclient), one Arduino MQTT client.
+
+## Connect to WiFi
+
+Di Wio Terminal fit now dey connected to WiFi.
+
+### Task - connect to WiFi
+
+Connect di Wio Terminal to WiFi.
+
+1. Create one new file for di `src` folder wey you go call `config.h`. You fit do dis by selecting di `src` folder, or di `main.cpp` file wey dey inside, and selecting di **New file** button for di explorer. Dis button go only show when your cursor dey over di explorer.
+
+    ![Di new file button](../../../../../translated_images/vscode-new-file-button.182702340fe6723c8cbb4cfa1a9a9fb0d0a5227643b4e46b91ff67b07a39a92f.pcm.png)
+
+1. Add di following code for dis file to define constants for your WiFi credentials:
+
+    ```cpp
+    #pragma once
+
+    #include <string>
+    
+    using namespace std;
+    
+    // WiFi credentials
+    const char *SSID = "<SSID>";
+    const char *PASSWORD = "<PASSWORD>";
+    ```
+
+    Replace `<SSID>` wit di SSID of your WiFi. Replace `<PASSWORD>` wit your WiFi password.
+
+1. Open di `main.cpp` file.
+
+1. Add di following `#include` directives for di top of di file:
+
+    ```cpp
+    #include <PubSubClient.h>
+    #include <rpcWiFi.h>
+    #include <SPI.h>
+    
+    #include "config.h"
+    ```
+
+    Dis one dey include header files for di libraries wey you don add before, plus di config header file. Dis header files dey needed to tell PlatformIO to bring di code from di libraries. If you no explicitly include dis header files, some code no go dey compiled in and you go get compiler errors.
+
+1. Add di following code above di `setup` function:
+
+    ```cpp
+    void connectWiFi()
+    {
+        while (WiFi.status() != WL_CONNECTED)
+        {
+            Serial.println("Connecting to WiFi..");
+            WiFi.begin(SSID, PASSWORD);
+            delay(500);
+        }
+    
+        Serial.println("Connected!");
+    }
+    ```
+
+    Dis code dey loop while di device no dey connected to WiFi, and e dey try connect using di SSID and password from di config header file.
+
+1. Add one call to dis function for di bottom of di `setup` function, after di pins don dey configured.
+
+    ```cpp
+    connectWiFi();
+    ```
+
+1. Upload dis code to your device to check say di WiFi connection dey work. You go see dis for di serial monitor.
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    ```
+
+## Connect to MQTT
+
+Once di Wio Terminal don connect to WiFi, e fit connect to di MQTT broker.
+
+### Task - connect to MQTT
+
+Connect to di MQTT broker.
+
+1. Add di following code for di bottom of di `config.h` file to define di connection details for di MQTT broker:
+
+    ```cpp
+    // MQTT settings
+    const string ID = "<ID>";
+    
+    const string BROKER = "test.mosquitto.org";
+    const string CLIENT_NAME = ID + "nightlight_client";
+    ```
+
+    Replace `<ID>` wit one unique ID wey go dey used as di name of dis device client, and later for di topics wey dis device dey publish and subscribe to. Di *test.mosquitto.org* broker dey public and plenty people dey use am, including other students wey dey work on dis assignment. To get unique MQTT client name and topic names go make sure say your code no go clash wit anybody own. You go also need dis ID when you dey create di server code later for dis assignment.
+
+    > 💁 You fit use one website like [GUIDGen](https://www.guidgen.com) to generate one unique ID.
+
+    Di `BROKER` na di URL of di MQTT broker.
+
+    Di `CLIENT_NAME` na one unique name for dis MQTT client for di broker.
+
+1. Open di `main.cpp` file, and add di following code below di `connectWiFi` function and above di `setup` function:
+
+    ```cpp
+    WiFiClient wioClient;
+    PubSubClient client(wioClient);
+    ```
+
+    Dis code dey create one WiFi client using di Wio Terminal WiFi libraries and e dey use am to create one MQTT client.
+
+1. Below dis code, add di following:
+
+    ```cpp
+    void reconnectMQTTClient()
+    {
+        while (!client.connected())
+        {
+            Serial.print("Attempting MQTT connection...");
+    
+            if (client.connect(CLIENT_NAME.c_str()))
+            {
+                Serial.println("connected");
+            }
+            else
+            {
+                Serial.print("Retying in 5 seconds - failed, rc=");
+                Serial.println(client.state());
+                
+                delay(5000);
+            }
+        }
+    }
+    ```
+
+    Dis function dey test di connection to di MQTT broker and e dey reconnect if e no dey connected. E dey loop all di time wey e no dey connected and e dey try connect using di unique client name wey dey defined for di config header file.
+
+    If di connection fail, e go retry after 5 seconds.
+
+1. Add di following code below di `reconnectMQTTClient` function:
+
+    ```cpp
+    void createMQTTClient()
+    {
+        client.setServer(BROKER.c_str(), 1883);
+        reconnectMQTTClient();
+    }
+    ```
+
+    Dis code dey set di MQTT broker for di client, plus e dey set up di callback when message dey received. E go then try connect to di broker.
+
+1. Call di `createMQTTClient` function for di `setup` function after di WiFi don connect.
+
+1. Replace di whole `loop` function wit di following:
+
+    ```cpp
+    void loop()
+    {
+        reconnectMQTTClient();
+        client.loop();
+    
+        delay(2000);
+    }
+    ```
+
+    Dis code dey start by reconnecting to di MQTT broker. Dis connections fit break easily, so e good to dey check regularly and reconnect if e dey necessary. E go then call di `loop` method for di MQTT client to process any messages wey dey come in for di topic wey e subscribe to. Dis app na single-threaded, so messages no fit dey received for background thread, so time for di main thread go dey allocated to process any messages wey dey wait for di network connection.
+
+    Finally, delay of 2 seconds go make sure say di light levels no dey sent too often and e go reduce di power wey di device dey use.
+
+1. Upload di code to your Wio Terminal, and use di Serial Monitor to see di device dey connect to WiFi and MQTT.
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    source /Users/jimbennett/GitHub/IoT-For-Beginners/1-getting-started/lessons/4-connect-internet/code-mqtt/wio-terminal/nightlight/.venv/bin/activate
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1201  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Attempting MQTT connection...connected
+    ```
+
+> 💁 You fit find dis code for di [code-mqtt/wio-terminal](../../../../../1-getting-started/lessons/4-connect-internet/code-mqtt/wio-terminal) folder.
+
+😀 You don successfully connect your device to one MQTT broker.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take responsibility for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md b/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md
@@ -0,0 +1,95 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4bcc29fe2b65e56eada83d2476279227",
+  "translation_date": "2025-11-18T18:28:22+00:00",
+  "source_file": "1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md",
+  "language_code": "pcm"
+}
+-->
+# Control your nightlight for Internet - Wio Terminal
+
+For dis part of di lesson, you go send telemetry wey get light levels from your Wio Terminal go di MQTT broker.
+
+## Install di JSON Arduino libraries
+
+One popular way wey people dey use send message for MQTT na JSON. Arduino get one library for JSON wey dey make am easy to read and write JSON documents.
+
+### Task
+
+Install di Arduino JSON library.
+
+1. Open di nightlight project for VS Code.
+
+1. Add dis one line join di `lib_deps` list for di `platformio.ini` file:
+
+    ```ini
+    bblanchon/ArduinoJson @ 6.17.3
+    ```
+
+    Dis one go import [ArduinoJson](https://arduinojson.org), wey be Arduino JSON library.
+
+## Publish telemetry
+
+Di next step na to create one JSON document wey get telemetry and send am go di MQTT broker.
+
+### Task - publish telemetry
+
+Publish telemetry go di MQTT broker.
+
+1. Add dis code for di bottom of di `config.h` file to define di telemetry topic name for di MQTT broker:
+
+    ```cpp
+    const string CLIENT_TELEMETRY_TOPIC = ID + "/telemetry";
+    ```
+
+    Di `CLIENT_TELEMETRY_TOPIC` na di topic wey di device go dey use publish light levels.
+
+1. Open di `main.cpp` file
+
+1. Add dis `#include` directive for di top of di file:
+
+    ```cpp
+    #include <ArduinoJSON.h>
+    ```
+
+1. Add dis code inside di `loop` function, just before di `delay`:
+
+    ```cpp
+    int light = analogRead(WIO_LIGHT);
+
+    DynamicJsonDocument doc(1024);
+    doc["light"] = light;
+
+    string telemetry;
+    serializeJson(doc, telemetry);
+
+    Serial.print("Sending telemetry ");
+    Serial.println(telemetry.c_str());
+
+    client.publish(CLIENT_TELEMETRY_TOPIC.c_str(), telemetry.c_str());
+    ```
+
+    Dis code go read di light level, create one JSON document wey get di light level using ArduinoJson. Di document go then serialize to string and publish am for di telemetry MQTT topic by di MQTT client.
+
+1. Upload di code go your Wio Terminal, and use di Serial Monitor to see di light levels wey dem dey send go di MQTT broker.
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Attempting MQTT connection...connected
+    Sending telemetry {"light":652}
+    Sending telemetry {"light":612}
+    Sending telemetry {"light":583}
+    ```
+
+> 💁 You fit find dis code for di [code-telemetry/wio-terminal](../../../../../1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal) folder.
+
+😀 You don successfully send telemetry from your device.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for di native language na di main source wey you go trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/README.md b/translations/pcm/2-farm/README.md
new file mode 100644
index 000000000..ca2037621
--- /dev/null
+++ b/translations/pcm/2-farm/README.md
@@ -0,0 +1,36 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "428bda82d9e6016ecea7c797564bf081",
+  "translation_date": "2025-11-18T19:30:07+00:00",
+  "source_file": "2-farm/README.md",
+  "language_code": "pcm"
+}
+-->
+# Farming wit IoT
+
+As people dey plenty, na so demand for agriculture dey increase. Di land wey dey available no dey change, but di climate dey change - e dey give farmers more wahala, especially di 2 billion [subsistence farmers](https://wikipedia.org/wiki/Subsistence_agriculture) wey dey depend on wetin dem grow to chop and take care of dia family. IoT fit help farmers make better decision on wetin to grow and wen to harvest, increase wetin dem fit produce, reduce di amount of hand work, and detect plus handle pests.
+
+For dis 6 lessons, you go learn how to use Internet of Things to make farming better and automate am.
+
+> 💁 Dis lessons go use some cloud resources. If you no finish all di lessons for dis project, make sure say you [Clean up your project](../clean-up.md).
+
+## Topics
+
+1. [Predict plant growth wit IoT](lessons/1-predict-plant-growth/README.md)
+1. [Detect soil moisture](lessons/2-detect-soil-moisture/README.md)
+1. [Automated plant watering](lessons/3-automated-plant-watering/README.md)
+1. [Move your plant go di cloud](lessons/4-migrate-your-plant-to-the-cloud/README.md)
+1. [Move your application logic go di cloud](lessons/5-migrate-application-to-the-cloud/README.md)
+1. [Keep your plant safe](lessons/6-keep-your-plant-secure/README.md)
+
+## Credits
+
+All di lessons na [Jim Bennett](https://GitHub.com/JimBobBennett) write am wit ♥️.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important information, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/README.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/README.md
new file mode 100644
index 000000000..82a34108f
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/1-predict-plant-growth/README.md
@@ -0,0 +1,286 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "d105b44deae539165855c976dcdeca99",
+  "translation_date": "2025-11-18T19:41:09+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/README.md",
+  "language_code": "pcm"
+}
+-->
+# Predict plant growth wit IoT
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-5.42b234299279d263143148b88ab4583861a32ddb03110c6c1120e41bb88b2592.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/9)
+
+## Introduction
+
+Plants need some kain things to grow - water, carbon dioxide, nutrients, light, and heat. For dis lesson, you go learn how to calculate di growth and maturity rate of plants by measuring di air temperature.
+
+For dis lesson we go talk about:
+
+* [Digital agriculture](../../../../../2-farm/lessons/1-predict-plant-growth)
+* [Why temperature dey important for farming?](../../../../../2-farm/lessons/1-predict-plant-growth)
+* [Measure ambient temperature](../../../../../2-farm/lessons/1-predict-plant-growth)
+* [Growing degree days (GDD)](../../../../../2-farm/lessons/1-predict-plant-growth)
+* [Calculate GDD using temperature sensor data](../../../../../2-farm/lessons/1-predict-plant-growth)
+
+## Digital agriculture
+
+Digital Agriculture dey change di way we dey farm, e dey use tools to collect, store and analyze data from farming. Right now, we dey for one period wey dem dey call 'Fourth Industrial Revolution' by di World Economic Forum, and di rise of digital agriculture don get di name 'Fourth Agricultural Revolution', or 'Agriculture 4.0'.
+
+> 🎓 Di term Digital Agriculture also include di whole 'agriculture value chain', dat na di full journey from farm to table. E include tracking di quality of food as dem dey ship am, process am, warehouse and e-commerce systems, even tractor rental apps!
+
+Dis kain change dey help farmers increase di amount of food dem dey produce, use less fertilizer and pesticide, and manage water well well. Even though e dey mostly for richer countries, sensors and other devices don dey reduce for price, so e dey more accessible for developing countries.
+
+Some techniques wey digital agriculture dey enable na:
+
+* Temperature measurement - measuring temperature dey help farmers predict plant growth and maturity.
+* Automated watering - measuring soil moisture and turning on irrigation systems when di soil don dry, instead of timed watering. Timed watering fit make crops no get enough water during hot, dry time, or too much water during rain. By watering only when di soil need am, farmers fit manage their water well.
+* Pest control - farmers fit use cameras on robots or drones to check for pests, then apply pesticide only for di place wey need am, reducing di amount of pesticide wey dem dey use and reducing pesticide wey dey enter local water.
+
+✅ Do small research. Wetin be di other techniques wey dem dey use to improve farming yields?
+
+> 🎓 Di term 'Precision Agriculture' na di way wey farmers dey observe, measure and respond to crops for each field, or even for parts of di field. E include measuring water, nutrient and pest levels and responding well, like watering only small part of di field.
+
+## Why temperature dey important for farming?
+
+When people dey learn about plants, dem dey mostly talk about di need for water, light, carbon dioxide (CO<sub>2</sub>) and nutrients. But plants also need heat to grow - na why plants dey bloom for spring as temperature dey rise, why snowdrops or daffodils fit grow early because of small warm time, and why hothouses and greenhouses dey help plants grow well.
+
+> 🎓 Hothouses and greenhouses dey do similar work, but e get one big difference. Hothouses dey use artificial heat and farmers fit control di temperature well, greenhouses dey depend on di sun for heat and di only control na windows or openings to let heat comot.
+
+Plants get base or minimum temperature, optimal temperature, and maximum temperature, all based on di daily average temperature.
+
+* Base temperature - na di minimum daily average temperature wey plant need to grow.
+* Optimum temperature - na di best daily average temperature wey go make di plant grow well.
+* Maximum temperature - Na di maximum temperature wey plant fit handle. If e pass dis one, di plant go stop to grow to save water and survive.
+
+> 💁 Dis na average temperature, wey dem dey calculate from di day and night temperature. Plants also need different temperature for day and night to help dem photosynthesize well and save energy for night.
+
+Each type of plant get different values for their base, optimal and maximum temperature. Na why some plants dey grow well for hot countries, and others for cold countries.
+
+✅ Do small research. For di plants wey dey your garden, school, or local park, try find di base temperature.
+
+![A graph showing growth rate rising as temperature rises, then dropping as the temperature goes too high](../../../../../translated_images/plant-growth-temp-graph.c6d69c9478e6ca832baa8dcb8d4adcbb67304074ce50e94ac8faae95975177f9.pcm.png)
+
+Di graph wey dey above dey show example of growth rate to temperature graph. Up to di base temperature, di plant no go grow. Di growth rate go increase until e reach di optimum temperature, then e go drop after e reach di peak. For di maximum temperature, growth go stop.
+
+Di shape of dis graph dey different for each type of plant. Some dey drop fast after di optimum, some dey rise slow from di base to di optimum.
+
+> 💁 For farmer to get di best growth, dem need to sabi di three temperature values and understand di shape of di graph for di plants wey dem dey grow.
+
+If farmer fit control di temperature, like for commercial hothouse, dem fit optimize am for their plants. For example, commercial hothouse wey dey grow tomatoes go set di temperature to around 25°C for day and 20°C for night to make di plant grow fast.
+
+> 🍅 If dem combine dis temperature with artificial light, fertilizer and controlled CO<sub>2</sub> levels, commercial farmers fit grow and harvest all year round.
+
+## Measure ambient temperature
+
+Temperature sensors fit dey use with IoT devices to measure ambient temperature.
+
+### Task - measure temperature
+
+Follow di guide wey dey relevant to monitor temperature using your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-temp.md)
+* [Single-board computer - Raspberry Pi](pi-temp.md)
+* [Single-board computer - Virtual device](virtual-device-temp.md)
+
+## Growing degree days
+
+Growing degree days (wey people dey also call growing degree units) na di way wey dem dey measure di growth of plants based on temperature. If plant get enough water, nutrients and CO<sub>2</sub>, na di temperature go determine di growth rate.
+
+Growing degree days, or GDD dey calculate per day as di average temperature for one day above di plant base temperature. Each plant need certain number of GDD to grow, flower or produce and mature di crop. Di more GDD each day, di faster di plant go grow.
+
+> 🇺🇸 For Americans, growing degree days fit also dey calculate using Fahrenheit. 5 GDD<sup>C</sup> (growing degree days for Celsius) na di same as 9 GDD<sup>F</sup> (growing degree days for Fahrenheit).
+
+Di full formula for GDD dey small complicated, but e get one simplified equation wey people dey use as good approximation:
+
+![GDD = T max + T min divided by 2, all minus T base](../../../../../translated_images/gdd-calculation.79b3660f9c5757aa92dc2dd2cdde75344e2d2c1565c4b3151640f7887edc0275.pcm.png)
+
+* **GDD** - na di number of growing degree days
+* **T<sub>max</sub>** - na di daily maximum temperature for degrees Celsius
+* **T<sub>min</sub>** - na di daily minimum temperature for degrees Celsius
+* **T<sub>base</sub>** - na di plant base temperature for degrees Celsius
+
+> 💁 E get variations wey dey deal with T<sub>max</sub> above 30°C or T<sub>min</sub> below T<sub>base</sub>, but we no go talk about dem now.
+
+### Example - Corn/Maize 🌽
+
+Depending on di variety, corn (or maize) need between 800 and 2,700 GDD to mature, with base temperature of 10°C.
+
+For di first day wey temperature pass di base temperature, di following temperatures dey measured:
+
+| Measurement | Temp °C |
+| :---------- | :-----: |
+| Maximum     | 16      |
+| Minimum     | 12      |
+
+If we put dis numbers for di calculation:
+
+* T<sub>max</sub> = 16
+* T<sub>min</sub> = 12
+* T<sub>base</sub> = 10
+
+Dis go give calculation of:
+
+![GDD = 16 + 12 divided by 2, all minus 10, giving an answer of 4](../../../../../translated_images/gdd-calculation-corn.64a58b7a7afcd0dfd46ff733996d939f17f4f3feac9f0d1c632be3523e51ebd9.pcm.png)
+
+Di corn get 4 GDD for dat day. If na corn variety wey need 800 GDD days to mature, e go need another 796 GDD to reach maturity.
+
+✅ Do small research. For di plants wey dey your garden, school, or local park, try find di number of GDD wey dem need to mature or produce crops.
+
+## Calculate GDD using temperature sensor data
+
+Plants no dey grow based on fixed dates - for example, you no fit plant seed and sabi say di plant go bear fruit exactly 100 days later. Instead, as farmer, you fit get rough idea how long plant dey take to grow, then you go dey check daily to see when di crops don ready.
+
+Dis dey cause plenty work for big farm, and e fit make farmer miss crops wey don ready early. By measuring temperature, farmer fit calculate di GDD wey plant don get, so dem go only check when di plant don near maturity.
+
+By gathering temperature data using IoT device, farmer fit get automatic notification when plants don near maturity. Di normal way na to make di IoT devices measure temperature, then send di telemetry data over Internet using something like MQTT. Server code go dey listen to dis data and save am somewhere, like database. Dis go make di data fit dey analyzed later, like nightly job to calculate di GDD for di day, total di GDD for each crop so far and alert if plant don near maturity.
+
+![Telemetry data is sent to a server and then saved to a database](../../../../../translated_images/save-telemetry-database.ddc9c6bea0c5ba39449966a463ca6748cd8e2d565dab44ff31c9f1d2f6c21d27.pcm.png)
+
+Di server code fit also add extra information. For example, di IoT device fit send identifier to show which device e be, and di server code fit use am to find di location of di device, and di crops wey e dey monitor. E fit also add basic data like di current time as some IoT devices no get di hardware to keep track of accurate time, or dem need extra code to read di current time from Internet.
+
+✅ Why you think say different fields fit get different temperature?
+
+### Task - publish temperature information
+
+Follow di guide wey dey relevant to publish temperature data over MQTT using your IoT device so e fit dey analyzed later:
+
+* [Arduino - Wio Terminal](wio-terminal-temp-publish.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-temp-publish.md)
+
+### Task - capture and store di temperature information
+
+Once di IoT device don dey publish telemetry, di server code fit dey write to subscribe to dis data and store am. Instead of saving am to database, di server code go save am to Comma Separated Values (CSV) file. CSV files dey store data as rows of values as text, with each value separated by comma, and each record for new line. Dem dey convenient, easy to read and well supported way to save data as file.
+
+Di CSV file go get two columns - *date* and *temperature*. Di *date* column go be di current date and time wey di message reach di server, di *temperature* go come from di telemetry message.
+
+1. Repeat di steps for lesson 4 to create server code to subscribe to telemetry. You no need to add code to publish commands.
+
+    Di steps for dis na:
+
+    * Configure and activate Python Virtual Environment
+
+    * Install di paho-mqtt pip package
+
+    * Write di code to listen for MQTT messages wey dem publish for di telemetry topic
+
+      > ⚠️ You fit check [di instructions for lesson 4 for how to create Python app to receive telemetry if you need am](../../../1-getting-started/lessons/4-connect-internet/README.md#receive-telemetry-from-the-mqtt-broker).
+
+    Name di folder for dis project `temperature-sensor-server`.
+
+1. Make sure say di `client_name` dey reflect dis project:
+
+    ```cpp
+    client_name = id + 'temperature_sensor_server'
+    ```
+
+1. Add di following imports to di top of di file, below di existing imports:
+
+    ```python
+    from os import path
+    import csv
+    from datetime import datetime
+    ```
+
+    Dis dey import library for reading files, library to interact with CSV files, and library to help with dates and times.
+
+1. Add di following code before di `handle_telemetry` function:
+
+    ```python
+    temperature_file_name = 'temperature.csv'
+    fieldnames = ['date', 'temperature']
+    
+    if not path.exists(temperature_file_name):
+        with open(temperature_file_name, mode='w') as csv_file:
+            writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
+            writer.writeheader()
+    ```
+
+    Dis code dey declare some constants for di name of di file to write to, and di name of di column headers for di CSV file. Di first row of CSV file dey usually get column headers wey comma dey separate.
+
+    Di code go check if di CSV file don already dey. If e no dey, e go create am with di column headers for di first row.
+
+1. Add di following code to di end of di `handle_telemetry` function:
+
+    ```python
+    with open(temperature_file_name, mode='a') as temperature_file:        
+        temperature_writer = csv.DictWriter(temperature_file, fieldnames=fieldnames)
+        temperature_writer.writerow({'date' : datetime.now().astimezone().replace(microsecond=0).isoformat(), 'temperature' : payload['temperature']})
+    ```
+
+Dis code dey open di CSV file, den e go add new row for di end. Di row get di current date and time wey dem don format make e dey easy to read, plus di temperature wey di IoT device send. Di data dey store for [ISO 8601 format](https://wikipedia.org/wiki/ISO_8601) wit di timezone, but e no get microseconds.
+
+1. Run dis code di same way as before, make sure say your IoT device dey send data. CSV file wey dem call `temperature.csv` go dey create for di same folder. If you check am, you go see date/times and temperature measurements:
+
+    ```output
+    date,temperature
+    2021-04-19T17:21:36-07:00,25
+    2021-04-19T17:31:36-07:00,24
+    2021-04-19T17:41:36-07:00,25
+    ```
+
+1. Run dis code for some time to collect data. E go better make you run am for one full day to gather enough data for GDD calculations.
+
+    > 💁 If you dey use Virtual IoT Device, select di random checkbox and set range so you no go dey get di same temperature every time di temperature value dey return.
+    ![Select di random checkbox and set range](../../../../../translated_images/select-the-random-checkbox-and-set-a-range.32cf4bc7c12e797f8c76616b10c7c23a6592321bb1a6310e0b481e72f97d23b3.pcm.png) 
+
+    > 💁 If you wan run dis code for one full day, you go need make sure say di computer wey your server code dey run on no go sleep. You fit change di power settings or run something like [dis keep system active Python script](https://github.com/jaqsparow/keep-system-active).
+    
+> 💁 You fit find dis code for di [code-server/temperature-sensor-server](../../../../../2-farm/lessons/1-predict-plant-growth/code-server/temperature-sensor-server) folder.
+
+### Task - calculate GDD wit di stored data
+
+Once di server don collect temperature data, di GDD for plant fit dey calculate.
+
+Di steps to do am manually na:
+
+1. Find di base temperature for di plant. Example, for strawberries di base temperature na 10°C.
+
+1. From di `temperature.csv`, find di highest and lowest temperatures for di day.
+
+1. Use di GDD calculation wey dem give before to calculate GDD.
+
+Example, if di highest temperature for di day na 25°C, and di lowest na 12°C:
+
+![GDD = 25 + 12 divided by 2, then subtract 10 from di result wey go give 8.5](../../../../../translated_images/gdd-calculation-strawberries.59f57db94b22adb8ff6efb951ace33af104a1c6ccca3ffb0f8169c14cb160c90.pcm.png)
+
+* 25 + 12 = 37
+* 37 / 2 = 18.5
+* 18.5 - 10 = 8.5
+
+So di strawberries don get **8.5** GDD. Strawberries need about 250 GDD to produce fruit, so e still dey far.
+
+---
+
+## 🚀 Challenge
+
+Plants need more than heat to grow. Wetin else dem need?
+
+For dis ones, find out if sensors dey wey fit measure dem. Wetin of actuators wey fit control di levels? How you go fit arrange one or more IoT devices to make plant growth better?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/10)
+
+## Review & Self Study
+
+* Read more about digital agriculture for di [Digital Agriculture Wikipedia page](https://wikipedia.org/wiki/Digital_agriculture). Also read more about precision agriculture for di [Precision Agriculture Wikipedia page](https://wikipedia.org/wiki/Precision_agriculture).
+* Di full growing degree days calculation dey more complex pass di simplified one wey dem give here. Read more about di more complex equation and how to handle temperatures wey dey below di baseline for di [Growing Degree Day Wikipedia page](https://wikipedia.org/wiki/Growing_degree-day).
+* Food fit dey scarce for future if we still dey use di same methods for farming. Learn more about hi-tech farming techniques for dis [Hi-Tech Farms of Future video for YouTube](https://www.youtube.com/watch?v=KIEOuKD9KX8).
+
+## Assignment
+
+[Visualize GDD data using a Jupyter Notebook](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu wey you dey see don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, make you sabi say translation wey machine do fit get mistake or no too accurate. Di original docu for di language wey dem first write am na im you go take as di correct one. If na important information, e go better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/assignment.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "1e21b012c6685f8bf73e0e76cdca3347",
+  "translation_date": "2025-11-18T19:42:15+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Visualize GDD data wit Jupyter Notebook
+
+## Instructions
+
+For dis lesson, you don gather GDD data wit IoT sensor. To get beta GDD data, you go need gather data for plenty days. To help you see temperature data well and calculate GDD, you fit use tools like [Jupyter Notebooks](https://jupyter.org) to analyze di data.
+
+Start by gathering data for some days. You go need make sure say your server code dey run anytime your IoT device dey run, either by adjusting your power management settings or running something like [dis keep system active Python script](https://github.com/jaqsparow/keep-system-active).
+
+Once you don get temperature data, you fit use di Jupyter Notebook wey dey dis repo to see am well and calculate GDD. Jupyter notebooks dey mix code and instructions inside blocks wey dem dey call *cells*, most times na Python code. You fit read di instructions, then run each block of code one by one. You fit also edit di code. For dis notebook example, you fit change di base temperature wey dem dey use calculate di GDD for your plant.
+
+1. Create one folder wey you go call `gdd-calculation`
+
+1. Download di [gdd.ipynb](./code-notebook/gdd.ipynb) file and put am inside di `gdd-calculation` folder.
+
+1. Copy di `temperature.csv` file wey di MQTT server create.
+
+1. Create new Python virtual environment inside di `gdd-calculation` folder.
+
+1. Install some pip packages for Jupyter notebooks, plus libraries wey you go need to manage and plot di data:
+
+    ```sh
+    pip install --upgrade pip
+    pip install pandas
+    pip install matplotlib
+    pip install jupyter
+    ```
+
+1. Run di notebook for Jupyter:
+
+    ```sh
+    jupyter notebook gdd.ipynb
+    ```
+
+    Jupyter go start and open di notebook for your browser. Follow di instructions wey dey di notebook to see di temperatures wey dem measure, and calculate di growing degree days.
+
+    ![Di jupyter notebook](../../../../../translated_images/gdd-jupyter-notebook.c5b52cf21094f158a61f47f455490fd95f1729777ff90861a4521820bf354cdc.pcm.png)
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Capture data | Capture at least 2 complete days of data | Capture at least 1 complete day of data | Capture some data |
+| Calculate GDD | Successfully run di notebook and calculate GDD | Successfully run di notebook | No fit run di notebook |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go trust. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/code-notebook/gdd.ipynb b/translations/pcm/2-farm/lessons/1-predict-plant-growth/code-notebook/gdd.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Growing Degree Days\n",
+    "\n",
+    "Dis notebook go load temperature data wey dem save for one CSV file, and e go analyze am. E go draw graph for the temperatures, show the highest and lowest value for each day, and calculate the GDD.\n",
+    "\n",
+    "How you go take use dis notebook:\n",
+    "\n",
+    "* Copy the `temperature.csv` file put for the same folder wey dis notebook dey.\n",
+    "* Run all the cells using the **▶︎ Run** button wey dey up. Dis one go run the cell wey you select, then e go move to the next one.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For di cell wey dey below, set `base_temperature` to di base temperature of di plant.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base_temperature = 10"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Di CSV file now need to load am, using pandas\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Read the temperature CSV file\n",
+    "df = pd.read_csv('temperature.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Di temperature fit now dey show for graph.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure(figsize=(20, 10))\n",
+    "plt.plot(df['date'], df['temperature'])\n",
+    "plt.xticks(rotation='vertical');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Wen dem don read di data, dem fit group am by di `date` column, and comot di minimum and maximum temperature for each date.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert datetimes to pure dates so we can group by the date\n",
+    "df['date'] = pd.to_datetime(df['date']).dt.date\n",
+    "\n",
+    "# Group the data by date so it can be analyzed by date\n",
+    "data_by_date = df.groupby('date')\n",
+    "\n",
+    "# Get the minimum and maximum temperatures for each date\n",
+    "min_by_date = data_by_date.min()\n",
+    "max_by_date = data_by_date.max()\n",
+    "\n",
+    "# Join the min and max temperatures into one dataframe and flatten it\n",
+    "min_max_by_date = min_by_date.join(max_by_date, on='date', lsuffix='_min', rsuffix='_max')\n",
+    "min_max_by_date = min_max_by_date.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Di GDD fit dey calculate wit di standard GDD equation\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_gdd(row):\n",
+    "    return ((row['temperature_max'] + row['temperature_min']) / 2) - base_temperature\n",
+    "\n",
+    "# Calculate the GDD for each row\n",
+    "min_max_by_date['gdd'] = min_max_by_date.apply (lambda row: calculate_gdd(row), axis=1)\n",
+    "\n",
+    "# Print the results\n",
+    "print(min_max_by_date[['date', 'gdd']].to_string(index=False))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**Disclaimer**:  \nDis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.1"
+  },
+  "metadata": {
+   "interpreter": {
+    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
+   }
+  },
+  "coopTranslator": {
+   "original_hash": "8fcf954f6042f0bf3601a2c836a09574",
+   "translation_date": "2025-11-18T19:55:30+00:00",
+   "source_file": "2-farm/lessons/1-predict-plant-growth/code-notebook/gdd.ipynb",
+   "language_code": "pcm"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/pi-temp.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/pi-temp.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "7678f7c67b97ee52d5727496dcd7d346",
+  "translation_date": "2025-11-18T19:38:57+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/pi-temp.md",
+  "language_code": "pcm"
+}
+-->
+# Measure temperature - Raspberry Pi
+
+For dis part of di lesson, you go add temperature sensor to your Raspberry Pi.
+
+## Hardware
+
+Di sensor wey you go use na [DHT11 humidity and temperature sensor](https://www.seeedstudio.com/Grove-Temperature-Humidity-Sensor-DHT11.html), wey combine 2 sensors for one package. E dey popular well well, and plenty sensors wey dem dey sell for market dey combine temperature, humidity, and sometimes atmospheric pressure. Di temperature sensor part na negative temperature coefficient (NTC) thermistor, wey be thermistor wey di resistance go reduce as di temperature dey increase.
+
+Dis sensor na digital sensor, e get onboard ADC wey dey create digital signal wey get di temperature and humidity data wey di microcontroller fit read.
+
+### Connect di temperature sensor
+
+Di Grove temperature sensor fit connect to di Raspberry Pi.
+
+#### Task
+
+Connect di temperature sensor
+
+![A grove temperature sensor](../../../../../translated_images/grove-dht11.07f8eafceee170043efbb53e1d15722bd4e00fbaa9ff74290b57e9f66eb82c17.pcm.png)
+
+1. Put one end of di Grove cable inside di socket for di humidity and temperature sensor. E go only enter one way.
+
+1. When di Raspberry Pi dey off, connect di other end of di Grove cable to di digital socket wey dem mark **D5** for di Grove Base hat wey dey attach to di Pi. Dis socket na di second one from di left, for di row of sockets wey dey near di GPIO pins.
+
+![Di grove temperature sensor wey dem connect to socket A0](../../../../../translated_images/pi-temperature-sensor.3ff82fff672c8e565ef25a39d26d111de006b825a7e0867227ef4e7fbff8553c.pcm.png)
+
+## Program di temperature sensor
+
+Now, di device fit program to use di temperature sensor wey dem attach.
+
+### Task
+
+Program di device.
+
+1. On di Pi and wait make e boot finish.
+
+1. Open VS Code, either directly for di Pi, or connect am through di Remote SSH extension.
+
+    > ⚠️ You fit check [di instructions for how to set up and open VS Code for lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/pi.md).
+
+1. From di terminal, create new folder for di `pi` user home directory wey dem call `temperature-sensor`. Create file for dis folder wey dem call `app.py`:
+
+    ```sh
+    mkdir temperature-sensor
+    cd temperature-sensor
+    touch app.py
+    ```
+
+1. Open dis folder for VS Code.
+
+1. To use di temperature and humidity sensor, you go need install one extra Pip package. From di Terminal for VS Code, run dis command to install di Pip package for di Pi:
+
+    ```sh
+    pip3 install seeed-python-dht
+    ```
+
+1. Add dis code to di `app.py` file to import di libraries wey you need:
+
+    ```python
+    import time
+    from seeed_dht import DHT
+    ```
+
+    Di `from seeed_dht import DHT` statement dey import di `DHT` sensor class wey go help you interact with di Grove temperature sensor from di `seeed_dht` module.
+
+1. Add dis code after di one wey dey above to create one instance of di class wey dey manage di temperature sensor:
+
+    ```python
+    sensor = DHT("11", 5)
+    ```
+
+    Dis one dey declare one instance of di `DHT` class wey dey manage di **D**igital **H**umidity and **T**emperature sensor. Di first parameter dey tell di code say di sensor wey you dey use na *DHT11* sensor - di library wey you dey use dey support other types of dis sensor. Di second parameter dey tell di code say di sensor dey connect to digital port `D5` for di Grove base hat.
+
+    > ✅ Remember say all di sockets get their own pin numbers. Pins 0, 2, 4, and 6 na analog pins, pins 5, 16, 18, 22, 24, and 26 na digital pins.
+
+1. Add one infinite loop after di code wey dey above to dey check di temperature sensor value and print am for di console:
+
+    ```python
+    while True:
+        _, temp = sensor.read()
+        print(f'Temperature {temp}°C')
+    ```
+
+    Di call to `sensor.read()` dey return one tuple wey get humidity and temperature. You only need di temperature value, so you go ignore di humidity. Di temperature value go then print for di console.
+
+1. Add small sleep of ten seconds for di end of di `loop` because di temperature levels no need dey check every time. Sleep dey help reduce di power wey di device dey use.
+
+    ```python
+    time.sleep(10)
+    ```
+
+1. From di VS Code Terminal, run dis command to run your Python app:
+
+    ```sh
+    python3 app.py
+    ```
+
+    You go see temperature values dey show for di console. Use something to warm di sensor, like pressing your thumb on top am, or use fan to see how di values go change:
+
+    ```output
+    pi@raspberrypi:~/temperature-sensor $ python3 app.py 
+    Temperature 26°C
+    Temperature 26°C
+    Temperature 28°C
+    Temperature 30°C
+    Temperature 32°C
+    ```
+
+> 💁 You fit find dis code for di [code-temperature/pi](../../../../../2-farm/lessons/1-predict-plant-growth/code-temperature/pi) folder.
+
+😀 Your temperature sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say transleshion wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transleshion dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/single-board-computer-temp-publish.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/single-board-computer-temp-publish.md
new file mode 100644
index 000000000..6639941e8
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/1-predict-plant-growth/single-board-computer-temp-publish.md
@@ -0,0 +1,73 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4efc74299e19f5d08f2f3f34451a11ba",
+  "translation_date": "2025-11-18T19:39:31+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/single-board-computer-temp-publish.md",
+  "language_code": "pcm"
+}
+-->
+# Publish temperature - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go publish di temperature wey di Raspberry Pi or Virtual IoT Device detect through MQTT so dem fit use am later calculate GDD.
+
+## Publish di temperature
+
+Once you don read di temperature, you fit publish am through MQTT go one 'server' code wey go read di values, store dem, and prepare dem to use for GDD calculation.
+
+### Task - publish di temperature
+
+Program di device make e publish di temperature data.
+
+1. Open di `temperature-sensor` app project if e no dey open already.
+
+1. Repeat di steps wey you do for lesson 4 to connect to MQTT and send telemetry. You go still use di same public Mosquitto broker.
+
+    Di steps be:
+
+    - Add di MQTT pip package
+    - Add di code to connect to di MQTT broker
+    - Add di code to publish telemetry
+
+    > ⚠️ Check di [instructions for connecting to MQTT](../../../1-getting-started/lessons/4-connect-internet/single-board-computer-mqtt.md) and di [instructions for sending telemetry](../../../1-getting-started/lessons/4-connect-internet/single-board-computer-telemetry.md) from lesson 4 if you need am.
+
+1. Make sure say di `client_name` match di name of dis project:
+
+    ```python
+    client_name = id + 'temperature_sensor_client'
+    ```
+
+1. For di telemetry, instead of sending light value, send di temperature value wey you read from di DHT sensor inside one property for di JSON document wey dem call `temperature`:
+
+    ```python
+    _, temp = sensor.read()
+    telemetry = json.dumps({'temperature' : temp})
+    ```
+
+1. Di temperature value no need to dey read too often - e no go change much for short time, so set di `time.sleep` to 10 minutes:
+
+    ```cpp
+    time.sleep(10 * 60);
+    ```
+
+    > 💁 Di `sleep` function dey take di time for seconds, so to make am easy to read, di value dey pass as di result of one calculation. 60s dey inside one minute, so 10 x (60s for one minute) go give 10 minutes delay.
+
+1. Run di code di same way wey you take run di code for di previous part of di assignment. If you dey use virtual IoT device, make sure say di CounterFit app dey run and di humidity and temperature sensors don dey create for di correct pins.
+
+    ```output
+    pi@raspberrypi:~/temperature-sensor $ python3 app.py
+    MQTT connected!
+    Sending telemetry  {"temperature": 25}
+    Sending telemetry  {"temperature": 25}
+    ```
+
+> 💁 You fit find dis code for di [code-publish-temperature/virtual-device](../../../../../2-farm/lessons/1-predict-plant-growth/code-publish-temperature/virtual-device) folder or di [code-publish-temperature/pi](../../../../../2-farm/lessons/1-predict-plant-growth/code-publish-temperature/pi) folder.
+
+😀 You don successfully publish di temperature as telemetry from your device.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/virtual-device-temp.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/virtual-device-temp.md
new file mode 100644
index 000000000..c84d2dd47
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/1-predict-plant-growth/virtual-device-temp.md
@@ -0,0 +1,156 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "70e5a428b607cd5a9a4f422c2a4df03d",
+  "translation_date": "2025-11-18T19:37:38+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/virtual-device-temp.md",
+  "language_code": "pcm"
+}
+-->
+# Measure temperature - Virtual IoT Hardware
+
+For dis part of di lesson, you go add temperature sensor to your virtual IoT device.
+
+## Virtual Hardware
+
+Di virtual IoT device go use simulated Grove Digital Humidity and Temperature sensor. Dis one go make di lab be like say you dey use Raspberry Pi wey get physical Grove DHT11 sensor.
+
+Di sensor dey combine **temperature sensor** wit **humidity sensor**, but for dis lab, na di temperature sensor part you go focus on. For physical IoT device, di temperature sensor go be [thermistor](https://wikipedia.org/wiki/Thermistor) wey dey measure temperature by sensing di change wey dey happen for resistance as temperature dey change. Temperature sensors na usually digital sensors wey dey internally convert di resistance wey dem measure into temperature for degrees Celsius (or Kelvin, or Fahrenheit).
+
+### Add di sensors to CounterFit
+
+To use virtual humidity and temperature sensor, you go need add di two sensors to di CounterFit app.
+
+#### Task - add di sensors to CounterFit
+
+Add di humidity and temperature sensors to di CounterFit app.
+
+1. Create new Python app for your computer inside folder wey you go call `temperature-sensor` wit one file wey you go call `app.py` and Python virtual environment, then add di CounterFit pip packages.
+
+    > ⚠️ You fit check [di instructions for how to create and setup CounterFit Python project for lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/virtual-device.md).
+
+1. Install extra Pip package to install CounterFit shim for di DHT11 sensor. Make sure say you dey install am from terminal wey get di virtual environment activated.
+
+    ```sh
+    pip install counterfit-shims-seeed-python-dht
+    ```
+
+1. Make sure say di CounterFit web app dey run.
+
+1. Create humidity sensor:
+
+    1. For di *Create sensor* box wey dey di *Sensors* pane, drop down di *Sensor type* box and select *Humidity*.
+
+    1. Leave di *Units* as *Percentage*.
+
+    1. Make sure say di *Pin* dey set to *5*.
+
+    1. Click di **Add** button to create di humidity sensor for Pin 5.
+
+    ![Di humidity sensor settings](../../../../../translated_images/counterfit-create-humidity-sensor.2750e27b6f30e09cf4e22101defd5252710717620816ab41ba688f91f757c49a.pcm.png)
+
+    Di humidity sensor go dey created and e go show for di sensors list.
+
+    ![Di humidity sensor created](../../../../../translated_images/counterfit-humidity-sensor.7b12f7f339e430cb26c8211d2dba4ef75261b353a01da0932698b5bebd693f27.pcm.png)
+
+1. Create temperature sensor:
+
+    1. For di *Create sensor* box wey dey di *Sensors* pane, drop down di *Sensor type* box and select *Temperature*.
+
+    1. Leave di *Units* as *Celsius*.
+
+    1. Make sure say di *Pin* dey set to *6*.
+
+    1. Click di **Add** button to create di temperature sensor for Pin 6.
+
+    ![Di temperature sensor settings](../../../../../translated_images/counterfit-create-temperature-sensor.199350ed34f7343d79dccbe95eaf6c11d2121f03d1c35ab9613b330c23f39b29.pcm.png)
+
+    Di temperature sensor go dey created and e go show for di sensors list.
+
+    ![Di temperature sensor created](../../../../../translated_images/counterfit-temperature-sensor.f0560236c96a9016bafce7f6f792476fe3367bc6941a1f7d5811d144d4bcbfff.pcm.png)
+
+## Program di temperature sensor app
+
+Now you fit program di temperature sensor app using di CounterFit sensors.
+
+### Task - program di temperature sensor app
+
+Program di temperature sensor app.
+
+1. Make sure say di `temperature-sensor` app dey open for VS Code.
+
+1. Open di `app.py` file.
+
+1. Add dis code to di top of `app.py` to connect di app to CounterFit:
+
+    ```python
+    from counterfit_connection import CounterFitConnection
+    CounterFitConnection.init('127.0.0.1', 5000)
+    ```
+
+1. Add dis code to di `app.py` file to import di libraries wey you need:
+
+    ```python
+    import time
+    from counterfit_shims_seeed_python_dht import DHT
+    ```
+
+    Di `from seeed_dht import DHT` statement dey import di `DHT` sensor class to interact wit virtual Grove temperature sensor using shim from di `counterfit_shims_seeed_python_dht` module.
+
+1. Add dis code after di code wey dey above to create instance of di class wey dey manage di virtual humidity and temperature sensor:
+
+    ```python
+    sensor = DHT("11", 5)
+    ```
+
+    Dis one dey declare instance of di `DHT` class wey dey manage di virtual **D**igital **H**umidity and **T**emperature sensor. Di first parameter dey tell di code say di sensor wey dem dey use na virtual *DHT11* sensor. Di second parameter dey tell di code say di sensor dey connect to port `5`.
+
+    > 💁 CounterFit dey simulate dis combined humidity and temperature sensor by connecting to 2 sensors, humidity sensor for di pin wey dem give when dem create di `DHT` class, and temperature sensor wey dey run for di next pin. If di humidity sensor dey pin 5, di shim go expect say di temperature sensor dey pin 6.
+
+1. Add infinite loop after di code wey dey above to dey check di temperature sensor value and print am for di console:
+
+    ```python
+    while True:
+        _, temp = sensor.read()
+        print(f'Temperature {temp}°C')
+    ```
+
+    Di call to `sensor.read()` dey return tuple of humidity and temperature. Na only di temperature value you need, so di humidity dey ignored. Di temperature value go then dey printed for di console.
+
+1. Add small sleep of ten seconds for di end of di `loop` because di temperature levels no need dey checked every time. Sleep dey help reduce di power wey di device dey use.
+
+    ```python
+    time.sleep(10)
+    ```
+
+1. From di VS Code Terminal wey get activated virtual environment, run dis one to run your Python app:
+
+    ```sh
+    python app.py
+    ```
+
+1. From di CounterFit app, change di value of di temperature sensor wey di app go read. You fit do dis one in two ways:
+
+    * Enter number for di *Value* box for di temperature sensor, then click di **Set** button. Di number wey you enter go be di value wey di sensor go return.
+
+    * Check di *Random* checkbox, then enter *Min* and *Max* value, then click di **Set** button. Every time wey di sensor dey read value, e go read random number between *Min* and *Max*.
+
+    You go see di values wey you set dey show for di console. Change di *Value* or di *Random* settings to see di value dey change.
+
+    ```output
+    (.venv) ➜  temperature-sensor python app.py
+    Temperature 28.25°C
+    Temperature 30.71°C
+    Temperature 25.17°C
+    ```
+
+> 💁 You fit find dis code for di [code-temperature/virtual-device](../../../../../2-farm/lessons/1-predict-plant-growth/code-temperature/virtual-device) folder.
+
+😀 Your temperature sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translet. Even as we dey try make am correct, abeg make you sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/wio-terminal-temp-publish.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/wio-terminal-temp-publish.md
new file mode 100644
index 000000000..f5ff2c9cb
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/1-predict-plant-growth/wio-terminal-temp-publish.md
@@ -0,0 +1,84 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "df28cd649cd892bcce034e064913b2f3",
+  "translation_date": "2025-11-18T19:38:15+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/wio-terminal-temp-publish.md",
+  "language_code": "pcm"
+}
+-->
+# Publish temperature - Wio Terminal
+
+For dis part of di lesson, you go publish di temperature wey di Wio Terminal detect through MQTT so dem fit use am later to calculate GDD.
+
+## Publish di temperature
+
+Once you don read di temperature, you fit publish am through MQTT go one 'server' code wey go read di values, and keep dem ready to use for GDD calculation. Microcontrollers no dey read time from Internet or track time with real-time clock by default, di device go need make you program am to do dis, if e get di hardware wey fit do am.
+
+To make di lesson easy, di time no go dey sent with di sensor data, instead di server code go add am later when e receive di messages.
+
+### Task
+
+Program di device to publish di temperature data.
+
+1. Open di `temperature-sensor` Wio Terminal project
+
+1. Repeat di steps wey you do for lesson 4 to connect to MQTT and send telemetry. You go use di same public Mosquitto broker.
+
+    Di steps be:
+
+    - Add di Seeed WiFi and MQTT libraries to di `.ini` file
+    - Add di config file and code to connect to WiFi
+    - Add di code to connect to di MQTT broker
+    - Add di code to publish telemetry
+
+    > ⚠️ Check di [instructions for connecting to MQTT](../../../1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md) and di [instructions for sending telemetry](../../../1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md) from lesson 4 if you need am.
+
+1. Make sure say di `CLIENT_NAME` for di `config.h` header file match dis project:
+
+    ```cpp
+    const string CLIENT_NAME = ID + "temperature_sensor_client";
+    ```
+
+1. For di telemetry, instead of sending light value, send di temperature value wey you read from di DHT sensor inside one property for di JSON document wey dem call `temperature` by changing di `loop` function for `main.cpp`:
+
+    ```cpp
+    float temp_hum_val[2] = {0};
+    dht.readTempAndHumidity(temp_hum_val);
+
+    DynamicJsonDocument doc(1024);
+    doc["temperature"] = temp_hum_val[1];
+    ```
+
+1. Di temperature value no need to dey read too often - e no go change much for short time, so set di `delay` for di `loop` function to 10 minutes:
+
+    ```cpp
+    delay(10 * 60 * 1000);
+    ```
+
+    > 💁 Di `delay` function dey take di time for milliseconds, so to make am easy to read, di value go dey passed as di result of one calculation. 1,000ms dey inside one second, 60s dey inside one minute, so 10 x (60s for one minute) x (1000ms for one second) go give 10 minute delay.
+
+1. Upload dis go your Wio Terminal, and use di serial monitor to see di temperature wey dem dey send go di MQTT broker.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1201  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Attempting MQTT connection...connected
+    Sending telemetry {"temperature":25}
+    Sending telemetry {"temperature":25}
+    ```
+
+> 💁 You fit find dis code for di [code-publish-temperature/wio-terminal](../../../../../2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal) folder.
+
+😀 You don successfully publish di temperature as telemetry from your device.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu wey you dey see don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, make you sabi say translation wey machine do fit get mistake or no too accurate. Di original docu for di language wey dem first write am na di main correct one. If na important information, e go better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/1-predict-plant-growth/wio-terminal-temp.md b/translations/pcm/2-farm/lessons/1-predict-plant-growth/wio-terminal-temp.md
new file mode 100644
index 000000000..d348f836c
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/1-predict-plant-growth/wio-terminal-temp.md
@@ -0,0 +1,145 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "59263d094f20b302053888cd236880c3",
+  "translation_date": "2025-11-18T19:40:04+00:00",
+  "source_file": "2-farm/lessons/1-predict-plant-growth/wio-terminal-temp.md",
+  "language_code": "pcm"
+}
+-->
+# Measure temperature - Wio Terminal
+
+For dis part of di lesson, you go add temperature sensor to your Wio Terminal, and read di temperature values wey e dey give.
+
+## Hardware
+
+Di Wio Terminal need temperature sensor.
+
+Di sensor wey you go use na [DHT11 humidity and temperature sensor](https://www.seeedstudio.com/Grove-Temperature-Humidity-Sensor-DHT11.html), wey combine 2 sensors inside one package. E dey popular well well, and plenty sensors wey dem dey sell for market dey combine temperature, humidity, and sometimes atmospheric pressure. Di temperature sensor na negative temperature coefficient (NTC) thermistor, wey mean say di resistance go reduce as di temperature dey increase.
+
+Dis sensor na digital sensor, so e get onboard ADC wey go create digital signal wey get di temperature and humidity data wey di microcontroller fit read.
+
+### Connect di temperature sensor
+
+Di Grove temperature sensor fit connect to di Wio Terminal digital port.
+
+#### Task - connect di temperature sensor
+
+Connect di temperature sensor.
+
+![A grove temperature sensor](../../../../../translated_images/grove-dht11.07f8eafceee170043efbb53e1d15722bd4e00fbaa9ff74290b57e9f66eb82c17.pcm.png)
+
+1. Put one end of di Grove cable inside di socket for di humidity and temperature sensor. E go only enter one way.
+
+1. Make sure say di Wio Terminal no dey connect to your computer or any power supply, then connect di other end of di Grove cable to di right-hand side Grove socket for di Wio Terminal as you dey look di screen. Dis socket na di one wey far pass di power button.
+
+![Di grove temperature sensor wey dem connect to di right hand socket](../../../../../translated_images/wio-temperature-sensor.2934928f38c7f79a68d24879d2c8986c78244696f931e2e33c293f426ecdc0ad.pcm.png)
+
+## Program di temperature sensor
+
+Di Wio Terminal fit now dey programmed to use di temperature sensor wey you don attach.
+
+### Task program di temperature sensor
+
+Program di device.
+
+1. Create new Wio Terminal project using PlatformIO. Call di project `temperature-sensor`. Add code for di `setup` function to configure di serial port.
+
+    > ⚠️ You fit check [di instructions for how to create PlatformIO project for project 1, lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md#create-a-platformio-project).
+
+1. Add library dependency for di Seeed Grove Humidity and Temperature sensor library to di project `platformio.ini` file:
+
+    ```ini
+    lib_deps =
+        seeed-studio/Grove Temperature And Humidity Sensor @ 1.0.1
+    ```
+
+    > ⚠️ You fit check [di instructions for how to add libraries to PlatformIO project for project 1, lesson 4 if you need am](../../../1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md#install-the-wifi-and-mqtt-arduino-libraries).
+
+1. Add di following `#include` directives to di top of di file, under di existing `#include <Arduino.h>`:
+
+    ```cpp
+    #include <DHT.h>
+    #include <SPI.h>
+    ```
+
+    Dis one go import di files wey you need to interact with di sensor. Di `DHT.h` header file get di code for di sensor itself, and di `SPI.h` header go make sure say di code wey you need to talk to di sensor go dey linked when di app dey compiled.
+
+1. Before di `setup` function, declare di DHT sensor:
+
+    ```cpp
+    DHT dht(D0, DHT11);
+    ```
+
+    Dis one go declare one instance of di `DHT` class wey dey manage di **D**igital **H**umidity and **T**emperature sensor. E dey connected to port `D0`, di right-hand-side Grove socket for di Wio Terminal. Di second parameter go tell di code say di sensor wey you dey use na *DHT11* sensor - di library wey you dey use dey support other types of dis sensor.
+
+1. For di `setup` function, add code to set up di serial connection:
+
+    ```cpp
+    void setup()
+    {
+        Serial.begin(9600);
+    
+        while (!Serial)
+            ; // Wait for Serial to be ready
+    
+        delay(1000);
+    }
+    ```
+
+1. For di end of di `setup` function, after di last `delay`, add one call to start di DHT sensor:
+
+    ```cpp
+    dht.begin();
+    ```
+
+1. For di `loop` function, add code to call di sensor and print di temperature to di serial port:
+
+    ```cpp
+    void loop()
+    {
+        float temp_hum_val[2] = {0};
+        dht.readTempAndHumidity(temp_hum_val);
+        Serial.print("Temperature: ");
+        Serial.print(temp_hum_val[1]);
+        Serial.println ("°C");
+    
+        delay(10000);
+    }
+    ```
+
+    Dis code go declare one empty array of 2 floats, and e go pass am to di call to `readTempAndHumidity` for di `DHT` instance. Dis call go put 2 values inside di array - di humidity go enter di 0th item for di array (remember say for C++ arrays, e dey 0-based, so di 0th item na di 'first' item for di array), and di temperature go enter di 1st item.
+
+    Di temperature go dey read from di 1st item for di array, and e go print am to di serial port.
+
+    > 🇺🇸 Di temperature dey read for Celsius. For Americans, to change am to Fahrenheit, divide di Celsius value wey you read by 5, then multiply am by 9, then add 32. For example, temperature reading of 20°C go be ((20/5)*9) + 32 = 68°F.
+
+1. Build and upload di code to di Wio Terminal.
+
+    > ⚠️ You fit check [di instructions for how to create PlatformIO project for project 1, lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md#write-the-hello-world-app).
+
+1. Once you don upload am, you fit dey monitor di temperature using di serial monitor:
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1201  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Temperature: 25.00°C
+    Temperature: 25.00°C
+    Temperature: 25.00°C
+    Temperature: 24.00°C
+    ```
+
+> 💁 You fit find dis code for di [code-temperature/wio-terminal](../../../../../2-farm/lessons/1-predict-plant-growth/code-temperature/wio-terminal) folder.
+
+😀 Your temperature sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automatic translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/2-detect-soil-moisture/README.md b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4fb20273d299dc8d07a8f06c9cd0cdd9",
+  "translation_date": "2025-11-18T19:31:33+00:00",
+  "source_file": "2-farm/lessons/2-detect-soil-moisture/README.md",
+  "language_code": "pcm"
+}
+-->
+# Detect soil moisture
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-6.3e493b60eee85adc8c74dfeaaec3a3a6cfba61fedbcb84aa0146e7e80603a5dd.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
+Dis lesson na part of di [IoT for Beginners Project 2 - Digital Agriculture series](https://youtube.com/playlist?list=PLmsFUfdnGr3yCutmcVg6eAUEfsGiFXgcx) wey Microsoft Reactor teach. 
+
+[![Soil moisture sensors and digital agriculture](https://img.youtube.com/vi/ZzpTu3x4c6M/0.jpg)](https://youtu.be/ZzpTu3x4c6M)
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/11)
+
+## Introduction
+
+For di last lesson, we talk about how to measure one environmental property wey fit help predict how plant go grow. Temperature fit dey control, but e dey cost plenty money because e need controlled environment. Di easiest environmental property wey person fit control for plant na water - somtin wey people dey control everyday, from big irrigation system to small pikin wey dey use watering can for garden.
+
+![A child watering a garden](../../../../../translated_images/child-watering-garden.9a5d3f1bfe6d0d8d488291e8189899b2c59f82abaa487f18d404217a25e671e7.pcm.jpg)
+
+For dis lesson, you go learn how to measure soil moisture, and for di next lesson, you go sabi how to control automated watering system. Dis lesson go introduce di third sensor wey you go use. You don already use light sensor and temperature sensor before, so dis time you go learn how sensors and actuators dey communicate with IoT devices, and how soil moisture sensor dey send data go IoT device.
+
+Dis lesson go cover:
+
+* [Soil moisture](../../../../../2-farm/lessons/2-detect-soil-moisture)
+* [How sensors communicate with IoT devices](../../../../../2-farm/lessons/2-detect-soil-moisture)
+* [Measure the moisture levels in soil](../../../../../2-farm/lessons/2-detect-soil-moisture)
+* [Sensor calibration](../../../../../2-farm/lessons/2-detect-soil-moisture)
+
+## Soil moisture
+
+Plants need water to grow. Dem dey absorb water through di whole plant, but na di root system dey absorb di most. Plants dey use water for three main things:
+
+* [Photosynthesis](https://wikipedia.org/wiki/Photosynthesis) - Plants dey use water, carbon dioxide, and light to create carbohydrates and oxygen through chemical reaction.
+* [Transpiration](https://wikipedia.org/wiki/Transpiration) - Plants dey use water to carry nutrients around di plant, cool di plant, and help carbon dioxide enter di plant through di leaf pores. E dey similar to how humans dey sweat.
+* Structure - Plants need water to maintain their structure. Dem be 90% water (humans na only 60%), and di water dey keep di cells strong. If plant no get enough water, e go bend (wilt) and fit die.
+
+![Water is absorbed through plant roots then carried around the plant, being used for photosynthesis and plant structure](../../../../../translated_images/transpiration.b735aa34e4372e659f76d82527e9ce683f076d56065d0d8fddf13321666f4d80.pcm.png)
+
+✅ Do some research: how much water dey lost through transpiration?
+
+Di root system dey collect water from di soil wey di plant dey grow. If water too small for di soil, di plant no go fit absorb enough to grow. If water too much, di roots no go fit absorb di oxygen wey dem need to work. Dis one fit make di roots die and di plant no go get enough nutrients to survive.
+
+For farmer to get di best plant growth, di soil no suppose dey too wet or too dry. IoT devices fit help measure soil moisture so farmer go only water di plant when e dey necessary.
+
+### Ways to measure soil moisture
+
+Plenty sensors dey wey fit measure soil moisture:
+
+* Resistive - Resistive sensor get two probes wey dem go put for soil. Electric current go pass one probe and di other probe go receive am. Di sensor go measure di resistance of di soil - how much di current drop for di second probe. Water dey conduct electricity well, so di more water dey di soil, di less resistance e go get.
+
+    ![A resistive soil moisture sensor](../../../../../translated_images/resistive-soil-moisture-sensor.728a138a3d109e0653d8e4f6744140836c67461bbd0f4d887f47ed8228dc80b5.pcm.png)
+
+    > 💁 You fit build resistive soil moisture sensor with two metal pieces, like nails, wey you go separate by small space, then measure di resistance between dem with multimeter.
+
+* Capacitive - Capacitive moisture sensor dey measure di amount of electric charge wey fit store between positive and negative electrical plate, or [capacitance](https://wikipedia.org/wiki/Capacitance). Di capacitance of soil dey change as di moisture level dey change, and e fit convert to voltage wey IoT device fit measure. Di wetter di soil, di lower di voltage wey e go produce.
+
+    ![A capacitive soil moisture sensor](../../../../../translated_images/grove-capacitive-soil-moisture-sensor.e7f0776cce30e78be5cc5a07839385fd6718857f31b5bf5ad3d0c73c83b2f0ef.pcm.png)
+
+Both sensors na analog sensors, dem dey return voltage wey show soil moisture. But how dis voltage go reach your code? Before we go further, make we look how sensors and actuators dey communicate with IoT devices.
+
+## How sensors communicate with IoT devices
+
+For di lessons wey you don do so far, you don learn about sensors and actuators wey dey communicate with IoT dev kit if you dey do di physical hardware labs. But how dis communication dey work? How resistance measurement from soil moisture sensor go turn number wey you fit use for code?
+
+To communicate with sensors and actuators, you need hardware and communication protocol - di defined way wey data dey send and receive. For example, capacitive soil moisture sensor:
+
+* How e dey connect to IoT device?
+* If e dey measure voltage wey be analog signal, e go need ADC to turn di value to digital representation, and dis value go send as alternating voltage to show 0s and 1s - but how long dem dey send each bit?
+* If di sensor dey return digital value, e go be stream of 0s and 1s, but how long dem dey send each bit?
+* If voltage high for 0.1s, e be single 1 bit, or 2 consecutive 1 bits, or 10?
+* Where di number dey start? `00001101` na 25, or di first 5 bits na di end of di previous value?
+
+Di hardware dey provide physical connection wey data dey pass, di communication protocols dey make sure di data dey send or receive well so e fit interpret am.
+
+### General Purpose Input Output (GPIO) pins
+
+GPIO na set of pins wey you fit use connect hardware to IoT device. Dem dey available for IoT developer kits like Raspberry Pi or Wio Terminal. You fit use di communication protocols wey we go talk about for dis section with GPIO pins. Some GPIO pins dey provide voltage, usually 3.3V or 5V, some na ground, and others fit program to send voltage (output) or receive voltage (input).
+
+> 💁 Electrical circuit dey need to connect voltage to ground through di circuit wey you dey use. You fit think of voltage as di positive (+ve) terminal of battery and ground as di negative (-ve) terminal.
+
+You fit use GPIO pins directly with some digital sensors and actuators if you only need on or off values - on na high, off na low. Examples:
+
+* Button. You fit connect button between 5V pin and pin wey dey set to input. When you press di button, e go complete circuit between 5V pin, through di button, to di input pin. From code, you fit read di voltage for di input pin. If e high (5V), di button dey pressed. If e low (0v), di button no dey pressed. Di actual voltage no dey read, na digital signal of 1 or 0 depending on if di voltage pass threshold.
+
+    ![A button is sent 5 volts. When not pressed it returns 0 volts, or 0, when pressed it returns 5 volts, or 1](../../../../../translated_images/button-with-digital.3749edea8eb885af0303f7ea29e2389d704661c0ca3225b08ff0cbc22f332059.pcm.png)
+
+* LED. You fit connect LED between output pin and ground pin (use resistor so LED no go burn). From code, you fit set output pin to high and e go send 3.3V, making circuit from 3.3V pin, through LED, to ground pin. Dis go light di LED.
+
+    ![An LED is sent a signal of 0 (3.3V), which lights the LED. If it is sent 0 (0v), the LED is not lit.](../../../../../translated_images/led-digital-control.13b9be14077ea49f883c2ec52e1ce1c587804f2ed653f4061661e6a8783dd8c7.pcm.png)
+
+For advanced sensors, you fit use GPIO pins to send and receive digital data directly with digital sensors and actuators, or through controller boards with ADCs and DACs to talk to analog sensors and actuators.
+
+> 💁 If you dey use Raspberry Pi for dis labs, di Grove Base Hat get hardware wey dey convert analog sensor signals to digital wey e go send through GPIO.
+
+✅ If you get IoT device wey get GPIO pins, locate di pins and find diagram wey show which pins be voltage, ground or programmable.
+
+### Analog pins
+
+Some devices, like Arduino devices, get analog pins. Dis pins dey same as GPIO pins, but dem dey support analog signal. Dem get ADC wey dey convert voltage ranges to numerical values. Di ADC usually get 10-bit resolution, meaning e dey convert voltages to value between 0-1,023.
+
+For example, for 3.3V board, if di sensor return 3.3V, di value go be 1,023. If di voltage wey e return na 1.65v, di value go be 511.
+
+![A soil moisture sensor sent 3.3V and returning 1.65v, or a reading of 511](../../../../../translated_images/analog-sensor-voltage.3b6f3153922473997cae6f71a6110d89a020a8a1838a83fba4f97e8fa6cef3ac.pcm.png)
+
+> 💁 For nightlight - lesson 3, di light sensor dey return value from 0-1,023. If you dey use Wio Terminal, di sensor dey connect to analog pin. If you dey use Raspberry Pi, di sensor dey connect to analog pin for di base hat wey get ADC to communicate through GPIO pins. Di virtual device dey send value from 0-1,023 to act like analog pin.
+
+Soil moisture sensors dey depend on voltages, so dem go use analog pins and give values from 0-1,023.
+
+### Inter Integrated Circuit  (I<sup>2</sup>C)
+
+I<sup>2</sup>C, wey people dey call *I-squared-C*, na multi-controller, multi-peripheral protocol wey any connected device fit act as controller or peripheral wey dey communicate through di I<sup>2</sup>C bus (di name for communication system wey dey transfer data). Data dey send as addressed packets, and each packet get di address of di connected device wey e dey go.
+
+> 💁 Dis model before na master/slave, but people don dey stop to use dis name because e dey remind people of slavery. Di [Open Source Hardware Association don adopt controller/peripheral](https://www.oshwa.org/a-resolution-to-redefine-spi-signal-names/), but you fit still see di old name.
+
+Devices get address wey dem dey use when dem connect to I<sup>2</sup>C bus, and e dey usually hard coded for di device. For example, each type of Grove sensor from Seeed get di same address. All di light sensors get di same address, all di buttons get di same address wey different from di light sensor address. Some devices get way to change di address, like changing jumper settings or soldering pins together.
+
+I<sup>2</sup>C get bus wey dey made of 2 main wires, plus 2 power wires:
+
+| Wire | Name | Description |
+| ---- | --------- | ----------- |
+| SDA | Serial Data | Dis wire dey send data between devices. |
+| SCL | Serial Clock | Dis wire dey send clock signal wey di controller set. |
+| VCC | Voltage common collector | Di power supply for di devices. E dey connect to SDA and SCL wires to give dem power through pull-up resistor wey dey switch di signal off when no device dey act as controller. |
+| GND | Ground | Dis dey provide common ground for di electrical circuit. |
+
+![I2C bus with 3 devices connected to the SDA and SCL wires, sharing a common ground wire](../../../../../translated_images/i2c.83da845dde02256bdd462dbe0d5145461416b74930571b89d1ae142841eeb584.pcm.png)
+
+To send data, one device go issue start condition to show say e ready to send data. E go then act as controller. Di controller go send di address of di device wey e wan communicate with, plus if e wan read or write data. After di data don transmit, di controller go send stop condition to show say e don finish. After dis, another device fit act as controller to send or receive data.
+I<sup>2</sup>C get speed limit, e get 3 different mode wey dey run for fixed speed. Di fastest na High Speed mode wey maximum speed na 3.4Mbps (megabits per second), but no plenty device dey support dat speed. Example na Raspberry Pi, e dey limit to fast mode for 400Kbps (kilobits per second). Standard mode dey run for 100Kbps.
+
+> 💁 If you dey use Raspberry Pi with Grove Base hat as your IoT hardware, you go fit see plenty I<sup>2</sup>C socket for di board wey you fit use to connect with I<sup>2</sup>C sensors. Analog Grove sensors dey use I<sup>2</sup>C with ADC to send analog value as digital data, so di light sensor wey you use dey simulate analog pin, with di value wey e send through I<sup>2</sup>C since Raspberry Pi no dey support analog pin, na only digital pin e dey support.
+
+### Universal asynchronous receiver-transmitter (UART)
+
+UART na physical circuit wey dey allow two device to communicate. Each device get 2 communication pin - transmit (Tx) and receive (Rx), di Tx pin for di first device go connect to di Rx pin for di second device, and di Tx pin for di second device go connect to di Rx pin for di first device. Dis one go allow data to dey send for both side.
+
+* Device 1 dey send data from e Tx pin, wey device 2 go receive for e Rx pin
+* Device 1 dey receive data for e Rx pin wey device 2 dey send from e Tx pin
+
+![UART with di Tx pin for one chip wey connect to di Rx pin for another, and vice versa](../../../../../translated_images/uart.d0dbd3fb9e3728c6ee1995c8206f3cdb13cdfd208f13745e8ef6854cab75e421.pcm.png)
+
+> 🎓 Di data dey send one bit at a time, and dem dey call dis one *serial* communication. Most operating system and microcontroller get *serial port*, wey be connection wey fit send and receive serial data wey your code fit use.
+
+UART device get [baud rate](https://wikipedia.org/wiki/Symbol_rate) (dem dey call am Symbol rate too), wey be di speed wey data go dey send and receive for bits per second. Common baud rate na 9,600, wey mean say 9,600 bits (0s and 1s) of data dey send every second.
+
+UART dey use start and stop bit - e dey send start bit to show say e wan send one byte (8 bits) of data, then e go send stop bit after e don send di 8 bits.
+
+UART speed dey depend on hardware, but even di fastest implementation no dey pass 6.5 Mbps (megabits per second, or millions of bits, 0 or 1, wey dem dey send per second).
+
+You fit use UART for GPIO pin - you fit set one pin as Tx and another as Rx, then connect dem to another device.
+
+> 💁 If you dey use Raspberry Pi with Grove Base hat as your IoT hardware, you go fit see UART socket for di board wey you fit use to connect with sensors wey dey use UART protocol.
+
+### Serial Peripheral Interface (SPI)
+
+SPI na design wey dem make for communication wey no far, like for microcontroller wey dey talk to storage device like flash memory. E dey base on controller/peripheral model wey get one controller (normally na di processor for di IoT device) wey dey interact with plenty peripherals. Di controller dey control everything by selecting one peripheral and sending or requesting data.
+
+> 💁 Like I<sup>2</sup>C, di terms controller and peripheral na recent change, so you fit still see di old terms.
+
+SPI controller dey use 3 wire, plus 1 extra wire for each peripheral. Peripheral dey use 4 wire. Di wire na:
+
+| Wire | Name | Description |
+| ---- | --------- | ----------- |
+| COPI | Controller Output, Peripheral Input | Dis wire na for sending data from di controller to di peripheral. |
+| CIPO | Controller Input, Peripheral Output | Dis wire na for sending data from di peripheral to di controller. |
+| SCLK | Serial Clock | Dis wire dey send clock signal for rate wey di controller set. |
+| CS   | Chip Select | Di controller get plenty wire, one for each peripheral, and each wire dey connect to di CS wire for di peripheral wey e dey correspond to. |
+
+![SPI with one controller and two peripherals](../../../../../translated_images/spi.297431d6f98b386b4ff88aea44ce9c1e7acfb1ef69c7e4e388a7aa97b6948e24.pcm.png)
+
+Di CS wire dey activate one peripheral at a time, dey communicate through di COPI and CIPO wire. When di controller wan change peripheral, e go deactivate di CS wire wey connect to di active peripheral, then e go activate di wire wey connect to di next peripheral wey e wan communicate with.
+
+SPI na *full-duplex*, e mean say di controller fit send and receive data at di same time from di same peripheral using di COPI and CIPO wire. SPI dey use clock signal for di SCLK wire to keep di device in sync, so e no need start and stop bit like UART.
+
+SPI no get defined speed limit, implementation fit transmit plenty megabytes of data per second.
+
+IoT developer kits dey support SPI for some GPIO pin. Example, for Raspberry Pi you fit use GPIO pin 19, 21, 23, 24 and 26 for SPI.
+
+### Wireless
+
+Some sensors fit communicate through standard wireless protocol, like Bluetooth (mainly Bluetooth Low Energy, or BLE), LoRaWAN (na **Lo**ng **Ra**nge low power networking protocol), or WiFi. Dis one dey allow remote sensors wey no dey physically connect to IoT device.
+
+Example na commercial soil moisture sensors. Dis one go measure soil moisture for one field, then send di data through LoRaWAN go hub device, wey go process di data or send am go Internet. Dis one dey allow di sensor to dey far from di IoT device wey dey manage di data, e dey reduce power consumption and di need for big WiFi network or long cable.
+
+BLE dey popular for advanced sensors like fitness tracker wey dey work for wrist. Dis one dey combine plenty sensors and dey send di sensor data go IoT device like your phone through BLE.
+
+✅ You get any Bluetooth sensor for your body, house or school? Dis fit include temperature sensor, occupancy sensor, device tracker and fitness device.
+
+One popular way wey commercial device dey connect na Zigbee. Zigbee dey use WiFi to form mesh network between device, where each device dey connect to plenty nearby device, dey form plenty connection like spider web. When one device wan send message go Internet, e fit send am go di nearest device, wey go forward am go other nearby device and so on, until e reach coordinator wey go send am go Internet.
+
+> 🐝 Di name Zigbee dey refer to di waggle dance wey honey bee dey do when dem return to di beehive.
+
+## Measure di moisture level for soil
+
+You fit measure di moisture level for soil using soil moisture sensor, IoT device, and house plant or nearby soil.
+
+### Task - measure soil moisture
+
+Follow di guide wey dey relevant to measure soil moisture using your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-soil-moisture.md)
+* [Single-board computer - Raspberry Pi](pi-soil-moisture.md)
+* [Single-board computer - Virtual device](virtual-device-soil-moisture.md)
+
+## Sensor calibration
+
+Sensors dey depend on measuring electrical property like resistance or capacitance.
+
+> 🎓 Resistance, wey dem dey measure for ohms (Ω), na how much opposition dey to di electric current wey dey pass through something. When voltage dey apply to material, di amount of current wey go pass through e dey depend on di resistance of di material. You fit read more for di [electrical resistance page for Wikipedia](https://wikipedia.org/wiki/Electrical_resistance_and_conductance).
+
+> 🎓 Capacitance, wey dem dey measure for farads (F), na di ability of component or circuit to collect and store electrical energy. You fit read more about capacitance for di [capacitance page for Wikipedia](https://wikipedia.org/wiki/Capacitance).
+
+Dis measurement no dey always useful - imagine temperature sensor wey give you measurement of 22.5KΩ! Instead di value wey dem measure need to convert to useful unit by calibration - dat na matching di value wey dem measure to di quantity wey dem measure so dat new measurement fit convert to di correct unit.
+
+Some sensors dey come pre-calibrated. Example na di temperature sensor wey you use for di last lesson, e don already calibrate so e fit return temperature measurement for °C. For factory, di first sensor wey dem create go dey expose to range of known temperature and di resistance go dey measure. Dis one go dey use to build calculation wey fit convert di value wey dem measure for Ω (di unit of resistance) to °C.
+
+> 💁 Di formula wey dem dey use to calculate resistance from temperature na [Steinhart–Hart equation](https://wikipedia.org/wiki/Steinhart–Hart_equation).
+
+### Soil moisture sensor calibration
+
+Soil moisture dey measure using gravimetric or volumetric water content.
+
+* Gravimetric na di weight of water for one unit weight of soil wey dem measure, as di number of kilogram of water per kilogram of dry soil
+* Volumetric na di volume of water for one unit volume of soil wey dem measure, as di number of cubic metre of water per cubic metre of dry soil
+
+> 🇺🇸 For Americans, because di unit dey consistent, dem fit measure dis one for pounds instead of kilogram or cubic feet instead of cubic metre.
+
+Soil moisture sensors dey measure electrical resistance or capacitance - dis one no dey only vary by soil moisture, but also soil type because di component for di soil fit change e electrical characteristic. Ideally sensors suppose calibrate - dat na taking reading from di sensor and comparing dem to measurement wey dem find using more scientific method. Example, lab fit calculate di gravimetric soil moisture using sample from specific field wey dem take few times for di year, and dis number go dey use to calibrate di sensor, matching di sensor reading to di gravimetric soil moisture.
+
+![A graph of voltage vs soil moisture content](../../../../../translated_images/soil-moisture-to-voltage.df86d80cda1587008f312431ed5f79eb6c50c58d4fbc25a6763c5e9127c3106b.pcm.png)
+
+Di graph wey dey up show how to calibrate sensor. Di voltage go dey capture for soil sample wey dem go measure for lab by comparing di moist weight to di dry weight (by measuring di weight wet, then drying am for oven and measuring di dry weight). Once dem don take few readings, dem fit plot am for graph and fit line to di points. Dis line fit dey use to convert soil moisture sensor reading wey IoT device dey take to actual soil moisture measurement.
+
+💁 For resistive soil moisture sensors, di voltage dey increase as soil moisture dey increase. For capacitive soil moisture sensors, di voltage dey reduce as soil moisture dey increase, so di graph for dis one go dey slope down, no be up.
+
+![A soil moisture value interpolated from di graph](../../../../../translated_images/soil-moisture-to-voltage-with-reading.681cb3e1f8b68caf5547dbf1415851c82e201edfb78face16fc98da4051ed9b2.pcm.png)
+
+Di graph wey dey up show voltage reading from soil moisture sensor, and by following dat one go di line for di graph, di actual soil moisture fit dey calculate.
+
+Dis method mean say farmer no need to dey get plenty lab measurement for field, dem fit use IoT device to measure soil moisture - e go make di time wey dem dey take measurement fast well well.
+
+---
+
+## 🚀 Challenge
+
+Resistive and capacitive soil moisture sensors get plenty difference. Wetin be di difference, and which type (if any) go better for farmer to use? Di answer go change for developing and developed country?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/12)
+
+## Review & Self Study
+
+Make you read about di hardware and protocol wey sensors and actuators dey use:
+
+* [GPIO Wikipedia page](https://wikipedia.org/wiki/General-purpose_input/output)
+* [UART Wikipedia page](https://wikipedia.org/wiki/Universal_asynchronous_receiver-transmitter)
+* [SPI Wikipedia page](https://wikipedia.org/wiki/Serial_Peripheral_Interface)
+* [I<sup>2</sup>C Wikipedia page](https://wikipedia.org/wiki/I²C)
+* [Zigbee Wikipedia page](https://wikipedia.org/wiki/Zigbee)
+
+## Assignment
+
+[Calibrate your sensor](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg sabi say transle-shon wey machine do fit get mistake or no dey accurate. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e good make professional human transle-shon dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/2-farm/lessons/2-detect-soil-moisture/assignment.md b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/assignment.md
new file mode 100644
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "506d21b544d5de47406c89ad496a21cd",
+  "translation_date": "2025-11-18T19:33:57+00:00",
+  "source_file": "2-farm/lessons/2-detect-soil-moisture/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# How to calibrate your sensor
+
+## Wetin you go do
+
+For dis lesson, you don gather soil moisture sensor readings wey dey measure as values from 0-1023. To turn dis readings to real soil moisture readings, you go need to calibrate your sensor. You fit do am by taking readings from soil samples, then calculate the gravimetric soil moisture content from dis samples.
+
+You go need repeat dis steps plenty times to get the readings wey you need, with different wetness of soil each time.
+
+1. Use the soil moisture sensor take soil moisture reading. Write down the reading.
+
+1. Take sample of the soil, weigh am. Write down the weight.
+
+1. Dry the soil - warm oven wey dey 110°C (230°F) for few hours na the best way, you fit dry am for sunlight, or put am for warm, dry place until the soil don dry well well. E go dey powdery and loose.
+
+    > 💁 For lab, to get the most correct result, you go dry am for oven for 48-72 hours. If your school get drying ovens, try use am to dry for longer. The longer e dry, the more correct the result.
+
+1. Weigh the soil again.
+
+    > 🔥 If you dry am for oven, make sure say e don cool first!
+
+To calculate gravimetric soil moisture:
+
+![soil moisture % na weight wet minus weight dry, divided by weight dry, times 100](../../../../../translated_images/gsm-calculation.6da38c6201eec14e7573bb2647aa18892883193553d23c9d77e5dc681522dfb2.pcm.png)
+
+* W<sub>wet</sub> - the weight of the wet soil
+* W<sub>dry</sub> - the weight of the dry soil
+
+For example, make we say you get soil sample wey weigh 212g wet, and 197g dry.
+
+![The calculation filled in](../../../../../translated_images/gsm-calculation-example.99f9803b4f29e97668e7c15412136c0c399ab12dbba0b89596fdae9d8aedb6fb.pcm.png)
+
+* W<sub>wet</sub> = 212g
+* W<sub>dry</sub> = 197g
+* 212 - 197 = 15
+* 15 / 197 = 0.076
+* 0.076 * 100 = 7.6%
+
+For dis example, the soil get gravimetric soil moisture of 7.6%.
+
+Once you don get readings for at least 3 samples, draw graph of soil moisture % to soil moisture sensor reading and add line wey fit the points well. You fit use dis graph calculate the gravimetric soil moisture content for any sensor reading by checking the value from the line.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Gather calibration data | Capture at least 3 calibration samples | Capture at least 2 calibration samples | Capture at least 1 calibration sample |
+| Make a calibrated reading | Successfully draw the calibration graph and use sensor reading turn am to gravimetric soil moisture content | Successfully draw the calibration graph | No fit draw the graph |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main correct source. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because una use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/2-detect-soil-moisture/pi-soil-moisture.md b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/pi-soil-moisture.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/pi-soil-moisture.md
@@ -0,0 +1,110 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9d4d00a47d5d0f3e6ce42c0d1020064a",
+  "translation_date": "2025-11-18T19:33:21+00:00",
+  "source_file": "2-farm/lessons/2-detect-soil-moisture/pi-soil-moisture.md",
+  "language_code": "pcm"
+}
+-->
+# Measure soil moisture - Raspberry Pi
+
+For dis part of di lesson, you go add one capacitive soil moisture sensor to your Raspberry Pi, and you go read di values wey e dey give.
+
+## Hardware
+
+Di Raspberry Pi go need one capacitive soil moisture sensor.
+
+Di sensor wey you go use na [Capacitive Soil Moisture Sensor](https://www.seeedstudio.com/Grove-Capacitive-Moisture-Sensor-Corrosion-Resistant.html), wey dey measure soil moisture by detecting di capacitance of di soil. Dis capacitance dey change as di soil moisture dey change. As di soil moisture dey increase, di voltage go dey reduce.
+
+Dis sensor na analog sensor, so e dey use analog pin, and di 10-bit ADC wey dey di Grove Base Hat for di Pi go convert di voltage to digital signal from 1-1,023. Di signal go then pass through I<sup>2</sup>C via di GPIO pins for di Pi.
+
+### Connect di soil moisture sensor
+
+You fit connect di Grove soil moisture sensor to di Raspberry Pi.
+
+#### Task - connect di soil moisture sensor
+
+Connect di soil moisture sensor.
+
+![A grove soil moisture sensor](../../../../../translated_images/grove-capacitive-soil-moisture-sensor.e7f0776cce30e78be5cc5a07839385fd6718857f31b5bf5ad3d0c73c83b2f0ef.pcm.png)
+
+1. Put one end of di Grove cable for di socket wey dey di soil moisture sensor. E go only enter one way.
+
+1. When di Raspberry Pi no get power, connect di other end of di Grove cable to di analog socket wey dem mark **A0** for di Grove Base hat wey dey di Pi. Dis socket na di second one from di right, for di row of sockets wey dey near di GPIO pins.
+
+![Di grove soil moisture sensor wey dem connect to di A0 socket](../../../../../translated_images/pi-soil-moisture-sensor.fdd7eb2393792cf6739cacf1985d9f55beda16d372f30d0b5a51d586f978a870.pcm.png)
+
+1. Put di soil moisture sensor inside soil. E get one 'highest position line' - na white line wey dey across di sensor. Put di sensor reach di line but no pass am.
+
+![Di grove soil moisture sensor inside soil](../../../../../translated_images/soil-moisture-sensor-in-soil.bfad91002bda5e960f8c51ee64b02ee59b32c8c717e3515a2c945f33e614e403.pcm.png)
+
+## Program di soil moisture sensor
+
+Now, you fit program di Raspberry Pi to use di soil moisture sensor wey you don attach.
+
+### Task - program di soil moisture sensor
+
+Program di device.
+
+1. On di Pi and wait make e boot finish.
+
+1. Open VS Code, either directly for di Pi, or connect am through di Remote SSH extension.
+
+    > ⚠️ You fit check [di instructions for how to set up and open VS Code for nightlight - lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/pi.md).
+
+1. From di terminal, create new folder for di `pi` user home directory wey you go call `soil-moisture-sensor`. Create one file for dis folder wey you go call `app.py`.
+
+1. Open dis folder for VS Code.
+
+1. Add di code wey dey below to di `app.py` file to import some libraries wey you go need:
+
+    ```python
+    import time
+    from grove.adc import ADC
+    ```
+
+    Di `import time` statement dey bring in di `time` module wey you go use later for dis assignment.
+
+    Di `from grove.adc import ADC` statement dey bring in di `ADC` from di Grove Python libraries. Dis library get code wey go help you interact with di analog to digital converter wey dey di Pi base hat and read voltages from analog sensors.
+
+1. Add di code wey dey below to create one instance of di `ADC` class:
+
+    ```python
+    adc = ADC()
+    ```
+
+1. Add one infinite loop wey go dey read from dis ADC for di A0 pin, and write di result go console. Dis loop go then sleep for 10 seconds between di reads.
+
+    ```python
+    while True:
+        soil_moisture = adc.read(0)
+        print("Soil moisture:", soil_moisture)
+
+        time.sleep(10)
+    ```
+
+1. Run di Python app. You go see di soil moisture measurements wey go dey show for di console. Add small water to di soil, or commot di sensor from di soil, and see as di value go change.
+
+    ```output
+    pi@raspberrypi:~/soil-moisture-sensor $ python3 app.py 
+    Soil moisture: 615
+    Soil moisture: 612
+    Soil moisture: 498
+    Soil moisture: 493
+    Soil moisture: 490
+    Soil Moisture: 388
+    ```
+
+    For di example output wey dey above, you fit see as di voltage dey drop as you add water.
+
+> 💁 You fit find dis code for di [code/pi](../../../../../2-farm/lessons/2-detect-soil-moisture/code/pi) folder.
+
+😀 Your soil moisture sensor program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg no forget say automatic translation fit get mistake or no dey 100% correct. Di original docu for di language wey dem write am first na di main correct one. For important information, e go better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/2-detect-soil-moisture/virtual-device-soil-moisture.md b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/virtual-device-soil-moisture.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/virtual-device-soil-moisture.md
@@ -0,0 +1,125 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "2bf65f162bcebd35fbcba5fd245afac4",
+  "translation_date": "2025-11-18T19:30:39+00:00",
+  "source_file": "2-farm/lessons/2-detect-soil-moisture/virtual-device-soil-moisture.md",
+  "language_code": "pcm"
+}
+-->
+# Measure soil moisture - Virtual IoT Hardware
+
+For dis part of di lesson, you go add one capacitive soil moisture sensor to your virtual IoT device, and read di values wey e dey give.
+
+## Virtual Hardware
+
+Di virtual IoT device go use one simulated Grove capacitive soil moisture sensor. Dis one go make dis lab dey same as wen you dey use Raspberry Pi wit physical Grove capacitive soil moisture sensor.
+
+For physical IoT device, di soil moisture sensor na capacitive sensor wey dey measure soil moisture by detecting di capacitance of di soil, one property wey dey change as di soil moisture dey change. As di soil moisture dey increase, di voltage go dey reduce.
+
+Dis sensor na analog sensor, so e dey use one simulated 10-bit ADC to report value from 1-1,023.
+
+### Add di soil moisture sensor to CounterFit
+
+To use virtual soil moisture sensor, you go need add am to di CounterFit app.
+
+#### Task - Add di soil moisture sensor to CounterFit
+
+Add di soil moisture sensor to di CounterFit app.
+
+1. Create one new Python app for your computer inside one folder wey you go call `soil-moisture-sensor` wit one single file wey you go call `app.py` and one Python virtual environment, then add di CounterFit pip packages.
+
+    > ⚠️ You fit check [di instructions for how to create and set up CounterFit Python project for lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/virtual-device.md).
+
+1. Make sure say di CounterFit web app dey run.
+
+1. Create di soil moisture sensor:
+
+    1. For di *Create sensor* box inside di *Sensors* pane, drop down di *Sensor type* box and select *Soil Moisture*.
+
+    1. Leave di *Units* as *NoUnits*.
+
+    1. Make sure say di *Pin* dey set to *0*.
+
+    1. Click di **Add** button to create di *Soil Moisture* sensor for Pin 0.
+
+    ![Di soil moisture sensor settings](../../../../../translated_images/counterfit-create-soil-moisture-sensor.35266135a5e0ae68b29a684d7db0d2933a8098b2307d197f7c71577b724603aa.pcm.png)
+
+    Di soil moisture sensor go dey created and e go show for di sensors list.
+
+    ![Di soil moisture sensor wey dem don create](../../../../../translated_images/counterfit-soil-moisture-sensor.81742b2de0e9de60a3b3b9a2ff8ecc686d428eb6d71820f27a693be26e5aceee.pcm.png)
+
+## Program di soil moisture sensor app
+
+Now you fit program di soil moisture sensor app using di CounterFit sensors.
+
+### Task - program di soil moisture sensor app
+
+Program di soil moisture sensor app.
+
+1. Make sure say di `soil-moisture-sensor` app dey open for VS Code.
+
+1. Open di `app.py` file.
+
+1. Add di code wey dey below to di top of `app.py` to connect di app to CounterFit:
+
+    ```python
+    from counterfit_connection import CounterFitConnection
+    CounterFitConnection.init('127.0.0.1', 5000)
+    ```
+
+1. Add di code wey dey below to di `app.py` file to import some libraries wey you go need:
+
+    ```python
+    import time
+    from counterfit_shims_grove.adc import ADC
+    ```
+
+    Di `import time` statement dey bring in di `time` module wey you go use later for dis assignment.
+
+    Di `from counterfit_shims_grove.adc import ADC` statement dey bring in di `ADC` class to interact wit one virtual analog to digital converter wey fit connect to CounterFit sensor.
+
+1. Add di code wey dey below dis one to create one instance of di `ADC` class:
+
+    ```python
+    adc = ADC()
+    ```
+
+1. Add one infinite loop wey go dey read from dis ADC for pin 0 and write di result go console. Dis loop go sleep for 10 seconds between di reads.
+
+    ```python
+    while True:
+        soil_moisture = adc.read(0)
+        print("Soil moisture:", soil_moisture)
+    
+        time.sleep(10)
+    ```
+
+1. From di CounterFit app, change di value of di soil moisture sensor wey di app go dey read. You fit do dis one in two ways:
+
+    * Enter one number for di *Value* box for di soil moisture sensor, then click di **Set** button. Di number wey you enter go be di value wey di sensor go return.
+
+    * Check di *Random* checkbox, and enter *Min* and *Max* value, then click di **Set** button. Every time wey di sensor dey read value, e go read one random number between *Min* and *Max*.
+
+1. Run di Python app. You go see di soil moisture measurements wey dem dey write for console. Change di *Value* or di *Random* settings to see di value dey change.
+
+    ```output
+    (.venv) ➜ soil-moisture-sensor $ python app.py 
+    Soil moisture: 615
+    Soil moisture: 612
+    Soil moisture: 498
+    Soil moisture: 493
+    Soil moisture: 490
+    Soil Moisture: 388
+    ```
+
+> 💁 You fit find dis code for di [code/virtual-device](../../../../../2-farm/lessons/2-detect-soil-moisture/code/virtual-device) folder.
+
+😀 Your soil moisture sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e better make professional human transleto do di work. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/2-detect-soil-moisture/wio-terminal-soil-moisture.md b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/wio-terminal-soil-moisture.md
new file mode 100644
index 000000000..25df693cb
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/2-detect-soil-moisture/wio-terminal-soil-moisture.md
@@ -0,0 +1,119 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "0d55caa8c23d73635b7559102cd17b8a",
+  "translation_date": "2025-11-18T19:31:13+00:00",
+  "source_file": "2-farm/lessons/2-detect-soil-moisture/wio-terminal-soil-moisture.md",
+  "language_code": "pcm"
+}
+-->
+# Measure soil moisture - Wio Terminal
+
+For dis part of di lesson, you go add one capacitive soil moisture sensor to your Wio Terminal, and read di values wey e dey give.
+
+## Hardware
+
+Di Wio Terminal go need one capacitive soil moisture sensor.
+
+Di sensor wey you go use na [Capacitive Soil Moisture Sensor](https://www.seeedstudio.com/Grove-Capacitive-Moisture-Sensor-Corrosion-Resistant.html), e dey measure soil moisture by detecting di capacitance of di soil, one property wey dey change as di soil moisture dey change. As di soil moisture dey increase, di voltage go dey reduce.
+
+Dis sensor na analog sensor, e go connect to di analog pins for di Wio Terminal, using di onboard ADC to create value from 0-1,023.
+
+### Connect di soil moisture sensor
+
+Di Grove soil moisture sensor fit connect to di Wio Terminal configurable analog/digital port.
+
+#### Task - connect di soil moisture sensor
+
+Connect di soil moisture sensor.
+
+![A grove soil moisture sensor](../../../../../translated_images/grove-capacitive-soil-moisture-sensor.e7f0776cce30e78be5cc5a07839385fd6718857f31b5bf5ad3d0c73c83b2f0ef.pcm.png)
+
+1. Put one end of Grove cable inside di socket for di soil moisture sensor. E go only enter one way.
+
+1. Make sure say di Wio Terminal no dey connect to your computer or any power supply, then connect di other end of di Grove cable to di right-hand side Grove socket for di Wio Terminal as you dey look di screen. Dis socket na di one wey far pass di power button.
+
+![Di grove soil moisture sensor connected to di right hand socket](../../../../../translated_images/wio-soil-moisture-sensor.46919b61c3f6cb7497662251b29038ee0e57a4c8b9d071feb996c3b0d7f65aaf.pcm.png)
+
+1. Put di soil moisture sensor inside soil. E get one 'highest position line' - one white line wey dey across di sensor. Put di sensor reach di line but no pass am.
+
+![Di grove soil moisture sensor inside soil](../../../../../translated_images/soil-moisture-sensor-in-soil.bfad91002bda5e960f8c51ee64b02ee59b32c8c717e3515a2c945f33e614e403.pcm.png)
+
+1. Now you fit connect di Wio Terminal to your computer.
+
+## Program di soil moisture sensor
+
+Di Wio Terminal don ready to program make e use di soil moisture sensor wey you don attach.
+
+### Task - program di soil moisture sensor
+
+Program di device.
+
+1. Create one new Wio Terminal project using PlatformIO. Call di project `soil-moisture-sensor`. Add code for di `setup` function to configure di serial port.
+
+    > ⚠️ You fit check [di instructions for how to create PlatformIO project for project 1, lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md#create-a-platformio-project).
+
+1. Dis sensor no get library, so you fit read from di analog pin using di Arduino [`analogRead`](https://www.arduino.cc/reference/en/language/functions/analog-io/analogread/) function wey dey built-in. Start by configuring di analog pin for input so values fit dey read from am by adding dis code to di `setup` function.
+
+    ```cpp
+    pinMode(A0, INPUT);
+    ```
+
+    Dis one go set di `A0` pin, di combined analog/digital pin, as input pin wey voltage fit dey read from.
+
+1. Add dis code to di `loop` function to read di voltage from di pin:
+
+    ```cpp
+    int soil_moisture = analogRead(A0);
+    ```
+
+1. After dis code, add dis code to print di value to di serial port:
+
+    ```cpp
+    Serial.print("Soil Moisture: ");
+    Serial.println(soil_moisture);
+    ```
+
+1. Finally, add delay for di end wey go last 10 seconds:
+
+    ```cpp
+    delay(10000);
+    ```
+
+1. Build and upload di code to di Wio Terminal.
+
+    > ⚠️ You fit check [di instructions for how to create PlatformIO project for project 1, lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/wio-terminal.md#write-the-hello-world-app).
+
+1. Once you don upload am, you fit monitor di soil moisture using di serial monitor. Add small water to di soil, or commot di sensor from di soil, and see how di value go change.
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1201  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Soil Moisture: 526
+    Soil Moisture: 529
+    Soil Moisture: 521
+    Soil Moisture: 494
+    Soil Moisture: 454
+    Soil Moisture: 456
+    Soil Moisture: 395
+    Soil Moisture: 388
+    Soil Moisture: 394
+    Soil Moisture: 391
+    ```
+
+    For di example output wey dey above, you go see how di voltage dey drop as you dey add water.
+
+> 💁 You fit find dis code for di [code/wio-terminal](../../../../../2-farm/lessons/2-detect-soil-moisture/code/wio-terminal) folder.
+
+😀 Your soil moisture sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/3-automated-plant-watering/README.md b/translations/pcm/2-farm/lessons/3-automated-plant-watering/README.md
new file mode 100644
index 000000000..98e7b798d
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/3-automated-plant-watering/README.md
@@ -0,0 +1,317 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "f7bb24ba53fb627ddb38a8b24a05e594",
+  "translation_date": "2025-11-18T19:47:01+00:00",
+  "source_file": "2-farm/lessons/3-automated-plant-watering/README.md",
+  "language_code": "pcm"
+}
+-->
+# Automated plant watering
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-7.30b5f577d3cb8e031238751475cb519c7d6dbaea261b5df4643d086ffb2a03bb.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis lesson na part of di [IoT for Beginners Project 2 - Digital Agriculture series](https://youtube.com/playlist?list=PLmsFUfdnGr3yCutmcVg6eAUEfsGiFXgcx) wey Microsoft Reactor teach. [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn).
+
+[![IoT powered automated plant watering](https://img.youtube.com/vi/g9FfZwv9R58/0.jpg)](https://youtu.be/g9FfZwv9R58)
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/13)
+
+## Introduction
+
+For di last lesson, you don learn how to dey check soil moisture. For dis lesson, you go sabi how to build di main parts of one automated watering system wey go respond to soil moisture. You go also learn about timing - how sensors fit take time to respond to changes, and how actuators fit take time to change di properties wey sensors dey measure.
+
+For dis lesson we go talk about:
+
+* [Control high power devices from a low power IoT device](../../../../../2-farm/lessons/3-automated-plant-watering)
+* [Control a relay](../../../../../2-farm/lessons/3-automated-plant-watering)
+* [Control your plant over MQTT](../../../../../2-farm/lessons/3-automated-plant-watering)
+* [Sensor and actuator timing](../../../../../2-farm/lessons/3-automated-plant-watering)
+* [Add timing to your plant control server](../../../../../2-farm/lessons/3-automated-plant-watering)
+
+## Control high power devices from a low power IoT device
+
+IoT devices dey use low voltage. Dis voltage dey okay for sensors and low-power actuators like LEDs, but e no dey enough to control bigger hardware, like water pump wey dem dey use for irrigation. Even small pumps wey you fit use for houseplants dey draw too much current for IoT dev kit and e fit burn di board.
+
+> 🎓 Current, wey dem dey measure in Amps (A), na di amount of electricity wey dey move through circuit. Voltage na di push, current na how much dem dey push. You fit read more about current for [electric current page on Wikipedia](https://wikipedia.org/wiki/Electric_current).
+
+Di solution na to connect di pump to external power supply, and use actuator to switch di pump on, like how you go switch light on. E dey take small power (energy wey dey your body) for your finger to flip switch, and dis go connect di light to mains electricity wey dey run for 110v/240v.
+
+![A light switch turns power on to a light](../../../../../translated_images/light-switch.760317ad6ab8bd6d611da5352dfe9c73a94a0822ccec7df3c8bae35da18e1658.pcm.png)
+
+> 🎓 [Mains electricity](https://wikipedia.org/wiki/Mains_electricity) na di electricity wey dem dey deliver to houses and businesses through national infrastructure for many parts of di world.
+
+✅ IoT devices fit usually provide 3.3V or 5V, at less than 1 amp (1A) of current. Compare dis to mains electricity wey dey most times at 230V (120V for North America and 100V for Japan), and fit provide power for devices wey dey draw 30A.
+
+Plenty actuators dey wey fit do dis work, including mechanical devices wey you fit attach to switches wey dey mimic finger wey dey turn dem on. Di most popular one na relay.
+
+### Relays
+
+Relay na electromechanical switch wey dey change electrical signal to mechanical movement wey dey turn switch on. Di main part of relay na electromagnet.
+
+> 🎓 [Electromagnets](https://wikipedia.org/wiki/Electromagnet) na magnets wey dem dey create by passing electricity through coil of wire. When electricity dey on, di coil go magnetize. When electricity dey off, di coil go lose di magnetism.
+
+![When on, the electromagnet creates a magnetic field, turning on the switch for the output circuit](../../../../../translated_images/relay-on.4db16a0fd6b669262fd6699aff3fbcd31b6057c06d90411b6bddc06326d1cf75.pcm.png)
+
+For relay, control circuit dey power di electromagnet. When di electromagnet dey on, e go pull lever wey go move switch, close di contacts and complete di output circuit.
+
+![When off, the electromagnet doesn't create a magnetic field, turning off the switch for the output circuit](../../../../../translated_images/relay-off.c34a178a2960fecdc3c6400d43e633ed11c6746cd653cfb4a768fa097c40394c.pcm.png)
+
+When di control circuit dey off, di electromagnet go off, release di lever and open di contacts, turn off di output circuit. Relays na digital actuators - high signal to di relay go turn am on, low signal go turn am off.
+
+Di output circuit fit power extra hardware, like irrigation system. IoT device fit turn di relay on, complete di output circuit wey dey power di irrigation system, and di plants go get water. Di IoT device fit then turn di relay off, cut di power to di irrigation system, turn di water off.
+
+![A relay turning on, turning on a pump sending water to a plant](../../../../../images/strawberry-pump.gif)
+
+For di video above, relay dey turn on. LED for di relay dey light up to show say e dey on (some relay boards get LEDs to show if relay dey on or off), and power dey go di pump, turn am on and pump water go di plant.
+
+> 💁 Relays fit also dey switch between two output circuits instead of turning one on and off. As di lever dey move, e dey move switch from completing one output circuit to completing another output circuit, usually dey share common power connection, or common ground connection.
+
+✅ Do small research: Plenty types of relays dey, with differences like if di control circuit dey turn di relay on or off when power dey apply, or multiple output circuits. Find out about dis different types.
+
+When di lever dey move, you fit usually hear am make contact with di electromagnet with one clear click sound.
+
+> 💁 Relay fit dey wire so say di connection go actually break power to di relay, turn di relay off, wey go then send power to di relay turn am back on again, and so on. Dis go make di relay dey click very fast dey make buzzing sound. Na so some of di first buzzers wey dem dey use for electric doorbells dey work.
+
+### Relay power
+
+Di electromagnet no need plenty power to activate and pull di lever, e fit dey control using di 3.3V or 5V output from IoT dev kit. Di output circuit fit carry plenty power, depending on di relay, including mains voltage or even higher power levels for industrial use. Dis way IoT dev kit fit control irrigation system, from small pump for one plant, to big industrial system for whole commercial farm.
+
+![A grove relay with the control circuit, output circuit and relay labelled](../../../../../translated_images/grove-relay-labelled.293e068f5c3c2a199bd7892f2661fdc9e10c920b535cfed317fbd6d1d4ae1168.pcm.png)
+
+Di image above dey show Grove relay. Di control circuit dey connect to IoT device and dey turn di relay on or off using 3.3V or 5V. Di output circuit get two terminals, any one fit be power or ground. Di output circuit fit handle up to 250V at 10A, enough for plenty mains-powered devices. You fit get relays wey fit handle even higher power levels.
+
+![A pump wired through a relay](../../../../../translated_images/pump-wired-to-relay.66c5cfc0d89189900cd601777f5caeb39ee35c6250f6c86bf38feaceedb21fe9.pcm.png)
+
+For di image above, power dey supply to pump through relay. Red wire dey connect di +5V terminal of USB power supply to one terminal of di output circuit of di relay, and another red wire dey connect di other terminal of di output circuit to di pump. Black wire dey connect di pump to di ground for di USB power supply. When di relay turn on, e go complete di circuit, send 5V to di pump, turn di pump on.
+
+## Control a relay
+
+You fit control relay from your IoT dev kit.
+
+### Task - control a relay
+
+Follow di guide wey dey relevant to control relay using your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-relay.md)
+* [Single-board computer - Raspberry Pi](pi-relay.md)
+* [Single-board computer - Virtual device](virtual-device-relay.md)
+
+## Control your plant over MQTT
+
+So far di relay dey control by di IoT device directly based on one soil moisture reading. For commercial irrigation system, di control logic go dey centralized, e go allow am make decisions on watering using data from plenty sensors, and e go allow any configuration to dey change for one single place. To simulate dis, you fit control di relay over MQTT.
+
+### Task - control the relay over MQTT
+
+1. Add di relevant MQTT libraries/pip packages and code to your `soil-moisture-sensor` project to connect to MQTT. Name di client ID as `soilmoisturesensor_client` wey dey prefix by your ID.
+
+    > ⚠️ You fit check [di instructions for connecting to MQTT for project 1, lesson 4 if you need am](../../../1-getting-started/lessons/4-connect-internet/README.md#connect-your-iot-device-to-mqtt).
+
+1. Add di relevant device code to send telemetry with di soil moisture settings. For di telemetry message, name di property `soil_moisture`.
+
+    > ⚠️ You fit check [di instructions for sending telemetry to MQTT for project 1, lesson 4 if you need am](../../../1-getting-started/lessons/4-connect-internet/README.md#send-telemetry-from-your-iot-device).
+
+1. Create some local server code to subscribe to telemetry and send command to control di relay for folder wey dem call `soil-moisture-sensor-server`. Name di property for di command message `relay_on`, and set di client ID as `soilmoisturesensor_server` wey dey prefix by your ID. Keep di same structure as di server code wey you write for project 1, lesson 4 as you go dey add to dis code later for dis lesson.
+
+    > ⚠️ You fit check [di instructions for sending telemetry to MQTT](../../../1-getting-started/lessons/4-connect-internet/README.md#write-the-server-code) and [sending commands over MQTT](../../../1-getting-started/lessons/4-connect-internet/README.md#send-commands-to-the-mqtt-broker) for project 1, lesson 4 if you need am.
+
+1. Add di relevant device code to control di relay from received commands, using di `relay_on` property from di message. Send true for `relay_on` if di `soil_moisture` dey greater than 450, otherwise send false, di same logic wey you add for di IoT device earlier.
+
+    > ⚠️ You fit check [di instructions for responding to commands from MQTT for project 1, lesson 4 if you need am](../../../1-getting-started/lessons/4-connect-internet/README.md#handle-commands-on-the-iot-device).
+
+> 💁 You fit find dis code for [code-mqtt](../../../../../2-farm/lessons/3-automated-plant-watering/code-mqtt) folder.
+
+Make sure say di code dey run for your device and local server, and test am by changing soil moisture levels, either by changing di values wey virtual sensor dey send, or by changing di moisture levels of di soil by adding water or removing di sensor from di soil.
+
+## Sensor and actuator timing
+
+For lesson 3 you build nightlight - LED wey dey turn on as soon as low level of light dey detect by light sensor. Di light sensor dey detect change for light levels quick, and di device fit respond fast, only dey limit by di length of delay for di `loop` function or `while True:` loop. As IoT developer, you no fit always rely on dis kind fast feedback loop.
+
+### Timing for soil moisture
+
+If you do di last lesson on soil moisture using physical sensor, you go notice say e dey take few seconds for di soil moisture reading to drop after you water your plant. Dis no be because di sensor dey slow, but because e dey take time for water to soak through di soil.
+
+> 💁 If you water too close to di sensor you fit see say di reading drop quick, then e go come back up - dis na because di water wey dey near di sensor dey spread throughout di rest of di soil, reduce di soil moisture by di sensor.
+
+![A soil moisture measurement of 658 doesn't change during watering, it only drops to 320 after watering when water has soaked through the soil](../../../../../translated_images/soil-moisture-travel.a0e31af222cf14385de5380dfc32c7b8213960965228b8e4f7b7ab7f73b310a3.pcm.png)
+
+For di diagram above, soil moisture reading dey show 658. Di plant dey water, but dis reading no dey change immediately, as di water never reach di sensor. Watering fit even finish before di water reach di sensor and di value drop to show di new moisture level.
+
+If you dey write code to control irrigation system through relay based on soil moisture levels, you go need to think about dis delay and build smarter timing into your IoT device.
+
+✅ Take small time to think how you fit do dis.
+
+### Control sensor and actuator timing
+Imagine say dem give you work to build irrigation system for farm. Base on the soil type, dem find say the correct soil moisture level wey the plant need dey match analog voltage reading of 400-450.
+
+You fit program the device like the nightlight - anytime the sensor read pass 450, make e turn on relay wey go turn on pump. But the wahala be say water dey take time to move from the pump, enter the soil reach the sensor. The sensor go stop the water when e detect level of 450, but the water level go still dey drop as the pumped water dey soak enter the soil. The end result na wasted water, and e fit spoil the root.
+
+✅ Remember - too much water fit bad for plant like say water no dey at all, and e dey waste important resource.
+
+The better way na to sabi say e get delay between when actuator dey turn on and when the sensor go show change. This mean say the sensor no suppose dey rush to measure the value again, and the actuator need to turn off for some time before the next sensor measurement.
+
+How long the relay go dey on each time? E better make you dey careful and just turn the relay on for small time, then wait make the water soak enter, then check the moisture level again. After all, you fit always turn am on again to add more water, but you no fit remove water from the soil.
+
+💁 This kind timing control na something wey depend on the IoT device wey you dey build, the property wey you dey measure and the sensors plus actuators wey you dey use.
+
+![Strawberry plant wey connect to water through pump, the pump connect to relay. The relay and soil moisture sensor for the plant dey connect to Raspberry Pi](../../../../../translated_images/strawberry-with-pump.b410fc72ac6aabad3e28de9775bf2393ead73dcfec6fd8c9bc01cf107ecd171a.pcm.png)
+
+For example, I get strawberry plant wey get soil moisture sensor and pump wey relay dey control. I don observe say when I add water, e dey take like 20 seconds before the soil moisture reading go balance. This mean say I need to turn the relay off and wait 20 seconds before I check the moisture level. I go prefer make water no too plenty than make e too much - I fit always turn the pump on again, but I no fit remove water from the plant.
+
+![Step 1, take measurement. Step 2, add water. Step 3, wait make water soak enter the soil. Step 4, take measurement again](../../../../../translated_images/soil-moisture-delay.865f3fae206db01d5f8f100f4f44040215d44a0412dd3450aef7ff7b93b6d273.pcm.png)
+
+This mean say the best process go be watering cycle wey be like this:
+
+* Turn on the pump for 5 seconds
+* Wait 20 seconds
+* Check the soil moisture
+* If the level still dey above wetin I need, repeat the steps wey dey up
+
+5 seconds fit too long for the pump, especially if the moisture level just dey small above the required level. The best way to sabi wetin timing to use na to try am, then adjust am when you get sensor data, with constant feedback loop. This fit even lead to more detailed timing, like turning the pump on for 1 second for every 100 above the required soil moisture, instead of fixed 5 seconds.
+
+✅ Do small research: E get other timing things wey you suppose consider? The plant fit dey watered anytime the soil moisture dey too low, or e get specific time of day wey good or bad to water plants?
+
+💁 Weather prediction fit also dey useful when you dey control automated watering system for outdoor farming. If rain dey come, you fit pause the watering till after the rain finish. By that time, the soil fit don moist enough wey e no need watering, e go dey more efficient than to waste water by watering just before rain.
+
+## Add timing to your plant control server
+
+You fit change the server code to add control for the timing of the watering cycle, and wait for the soil moisture level to change. The server logic for controlling the relay timing be:
+
+1. Telemetry message don land
+1. Check the soil moisture level
+1. If e dey ok, no do anything. If the reading dey too high (meaning the soil moisture dey too low) then:
+    1. Send command to turn the relay on
+    1. Wait for 5 seconds
+    1. Send command to turn the relay off
+    1. Wait for 20 seconds make the soil moisture level balance
+
+The watering cycle, the process from when telemetry message land till e ready to process soil moisture level again, dey take about 25 seconds. We dey send soil moisture level every 10 seconds, so e get overlap wey message go land while the server dey wait for soil moisture level to balance, wey fit start another watering cycle.
+
+E get two options to solve this:
+
+* Change the IoT device code make e dey send telemetry every minute, this way the watering cycle go don finish before the next message go land
+* Unsubscribe from the telemetry during the watering cycle
+
+The first option no dey always good for big farms. The farmer fit want capture the soil moisture level as the soil dey watered for later analysis, for example to sabi water flow for different areas for the farm to guide more targeted watering. The second option better - the code just dey ignore telemetry when e no fit use am, but the telemetry still dey for other services wey fit subscribe to am.
+
+💁 IoT data no dey sent from only one device to only one service, instead many devices fit send data to broker, and many services fit dey listen to the data from the broker. For example, one service fit dey listen to soil moisture data and store am for database for analysis later. Another service fit also dey listen to the same telemetry to control irrigation system.
+
+### Task - add timing to your plant control server
+
+Update your server code make e run the relay for 5 seconds, then wait 20 seconds.
+
+1. Open the `soil-moisture-sensor-server` folder for VS Code if e never open. Make sure say the virtual environment dey activated.
+
+1. Open the `app.py` file
+
+1. Add this code to the `app.py` file under the imports wey dey already:
+
+    ```python
+    import threading
+    ```
+
+    This statement dey import `threading` from Python libraries, threading dey allow python run other code while e dey wait.
+
+1. Add this code before the `handle_telemetry` function wey dey handle telemetry messages wey the server code dey receive:
+
+    ```python
+    water_time = 5
+    wait_time = 20
+    ```
+
+    This one dey define how long the relay go run (`water_time`), and how long e go wait after to check the soil moisture (`wait_time`).
+
+1. Under this code, add this one:
+
+    ```python
+    def send_relay_command(client, state):
+        command = { 'relay_on' : state }
+        print("Sending message:", command)
+        client.publish(server_command_topic, json.dumps(command))
+    ```
+
+    This code dey define function wey dem call `send_relay_command` wey dey send command through MQTT to control the relay. The telemetry dey created as dictionary, then e dey convert to JSON string. The value wey e pass enter `state` dey determine if the relay go dey on or off.
+
+1. After the `send_relay_code` function, add this code:
+
+    ```python
+    def control_relay(client):
+        print("Unsubscribing from telemetry")
+        mqtt_client.unsubscribe(client_telemetry_topic)
+    
+        send_relay_command(client, True)
+        time.sleep(water_time)
+        send_relay_command(client, False)
+    
+        time.sleep(wait_time)
+    
+        print("Subscribing to telemetry")
+        mqtt_client.subscribe(client_telemetry_topic)
+    ```
+
+    This one dey define function to control the relay based on the timing wey dem need. E dey start by unsubscribing from telemetry so that soil moisture messages no go dey processed while watering dey happen. Next e dey send command to turn the relay on. E go wait for the `water_time` before e send command to turn the relay off. Finally e go wait for the soil moisture level to balance for `wait_time` seconds. E go then re-subscribe to telemetry.
+
+1. Change the `handle_telemetry` function to this:
+
+    ```python
+    def handle_telemetry(client, userdata, message):
+        payload = json.loads(message.payload.decode())
+        print("Message received:", payload)
+    
+        if payload['soil_moisture'] > 450:
+            threading.Thread(target=control_relay, args=(client,)).start()
+    ```
+
+    This code dey check the soil moisture level. If e pass 450, the soil need watering, so e go call the `control_relay` function. This function dey run for separate thread, dey run for background.
+
+1. Make sure say your IoT device dey run, then run this code. Change the soil moisture level and observe wetin go happen to the relay - e suppose turn on for 5 seconds then remain off for at least 20 seconds, only turning on if the soil moisture level no dey enough.
+
+    ```output
+    (.venv) ➜  soil-moisture-sensor-server ✗ python app.py
+    Message received: {'soil_moisture': 457}
+    Unsubscribing from telemetry
+    Sending message: {'relay_on': True}
+    Sending message: {'relay_on': False}
+    Subscribing to telemetry
+    Message received: {'soil_moisture': 302}
+    ```
+
+    Good way to test this for simulated irrigation system na to use dry soil, then pour water manually while the relay dey on, stop to pour when the relay turn off.
+
+💁 You fit find this code for [code-timing](../../../../../2-farm/lessons/3-automated-plant-watering/code-timing) folder.
+
+💁 If you wan use pump to build real irrigation system, then you fit use [6V water pump](https://www.seeedstudio.com/6V-Mini-Water-Pump-p-1945.html) with [USB terminal power supply](https://www.adafruit.com/product/3628). Make sure say the power to or from the pump dey connect through the relay.
+
+---
+
+## 🚀 Challenge
+
+You fit think of other IoT or electrical devices wey get similar wahala where e dey take time for the actuator result to reach the sensor. You fit get some for your house or school.
+
+* Wetin dem dey measure?
+* How long e dey take for the property to change after actuator dey used?
+* E dey ok if the property change pass the required value?
+* How e fit return back to the required value if e need am?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/14)
+
+## Review & Self Study
+
+* Read more about relays including how dem dey use am before for telephone exchanges for [relay Wikipedia page](https://wikipedia.org/wiki/Relay).
+
+## Assignment
+
+[Build a more efficient watering cycle](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make sure say e correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/3-automated-plant-watering/assignment.md b/translations/pcm/2-farm/lessons/3-automated-plant-watering/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "ed0fbd6aed084bfba7d5e2f206968c50",
+  "translation_date": "2025-11-18T19:49:03+00:00",
+  "source_file": "2-farm/lessons/3-automated-plant-watering/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Make Watering System Work Better
+
+## Wetin You Go Do
+
+Dis lesson show how you fit take control relay wit sensor data, and di relay fit control pump wey go dey water farm. For one soil wey dem don measure, if pump dey run for fixed time, e go always affect di soil moisture di same way. Dis mean say you fit sabi how many seconds of water wey go match one kind drop for soil moisture reading. Wit dis data, you fit build one better irrigation system.
+
+For dis assignment, you go calculate how long di pump go run to make soil moisture rise reach di level wey you want.
+
+> ⚠️ If you dey use virtual IoT hardware, you fit follow dis process, but you go dey simulate di result by manually dey increase di soil moisture reading by fixed amount every second wey di relay dey on.
+
+1. Start wit dry soil. Measure di soil moisture.
+
+1. Add fixed amount of water, either by running di pump for 1 second or by pouring fixed amount of water.
+
+    > Di pump suppose dey run for constant rate, so every second wey di pump dey run, e go dey supply di same amount of water.
+
+1. Wait make di soil moisture level balance, then take di reading.
+
+1. Repeat dis process many times and make table for di results. Example of di table dey below.
+
+    | Total Pump time | Soil Moisture | Decrease |
+    | --- | --: | -: |
+    | Dry | 643 |  0 |
+    | 1s  | 621 | 22 |
+    | 2s  | 601 | 20 |
+    | 3s  | 579 | 22 |
+    | 4s  | 560 | 19 |
+    | 5s  | 539 | 21 |
+    | 6s  | 521 | 18 |
+
+1. Calculate di average increase for soil moisture per second of water. For di example above, every second of water dey reduce di reading by average of 20.3.
+
+1. Use dis data to make di server code work better, make di pump dey run for di time wey go make soil moisture reach di level wey you need.
+
+## How Dem Go Mark Am
+
+| Criteria | Better Work | Okay Work | E Need Better Work |
+| -------- | --------- | -------- | ----------------- |
+| Capture soil moisture data | Fit capture many readings after adding fixed amount of water | Fit capture some readings wit fixed amount of water | Fit only capture one or two readings, or no fit use fixed amount of water |
+| Adjust di server code | Fit calculate average decrease for soil moisture reading and update di server code to use am | Fit calculate average decrease, but no fit update di server code, or no fit calculate di average well, but use di value to update di server code well | No fit calculate di average, or no fit update di server code |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey correct well. Di original dokyument for di language wey dem write am first na di one wey you go take as di correct one. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/3-automated-plant-watering/pi-relay.md b/translations/pcm/2-farm/lessons/3-automated-plant-watering/pi-relay.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "66b81165e60f8f169bd52a401b6a0f8b",
+  "translation_date": "2025-11-18T19:48:26+00:00",
+  "source_file": "2-farm/lessons/3-automated-plant-watering/pi-relay.md",
+  "language_code": "pcm"
+}
+-->
+# Control Relay - Raspberry Pi
+
+For dis part of di lesson, you go add relay to your Raspberry Pi join di soil moisture sensor, and control am based on di soil moisture level.
+
+## Hardware
+
+Di Raspberry Pi need relay.
+
+Di relay wey you go use na [Grove relay](https://www.seeedstudio.com/Grove-Relay.html), e be normally-open relay (e mean say di output circuit dey open, or e no connect when signal no dey go di relay) and e fit handle output circuits up to 250V and 10A.
+
+Dis one na digital actuator, so e go connect to digital pin for di Grove Base Hat.
+
+### Connect di relay
+
+Di Grove relay fit connect to di Raspberry Pi.
+
+#### Task
+
+Connect di relay.
+
+![A grove relay](../../../../../translated_images/grove-relay.d426958ca210fbd0fb7983d7edc069d46c73a8b0a099d94797bd756f7b6bb6be.pcm.png)
+
+1. Put one end of Grove cable for di socket wey dey di relay. E go only enter one way.
+
+1. When di Raspberry Pi dey off, connect di other end of di Grove cable to di digital socket wey dem mark **D5** for di Grove Base hat wey dey attach to di Pi. Dis socket na di second one from di left, for di row of sockets wey dey near di GPIO pins. Leave di soil moisture sensor wey dey connect to di **A0** socket.
+
+![Di grove relay wey connect to di D5 socket, and di soil moisture sensor wey connect to di A0 socket](../../../../../translated_images/pi-relay-and-soil-moisture-sensor.02f3198975b8c53e69ec716cd2719ce117700bd1fc933eaf93476c103c57939b.pcm.png)
+
+1. Put di soil moisture sensor inside soil, if e no dey already from di last lesson.
+
+## Program di relay
+
+Now, di Raspberry Pi fit program to use di relay wey you don attach.
+
+### Task
+
+Program di device.
+
+1. Power di Pi and wait make e boot.
+
+1. Open di `soil-moisture-sensor` project from di last lesson for VS Code if e no dey open already. You go dey add to dis project.
+
+1. Add dis code to di `app.py` file under di imports wey dey already:
+
+    ```python
+    from grove.grove_relay import GroveRelay
+    ```
+
+    Dis statement dey import di `GroveRelay` from di Grove Python libraries to fit interact with di Grove relay.
+
+1. Add dis code under di declaration of di `ADC` class to create `GroveRelay` instance:
+
+    ```python
+    relay = GroveRelay(5)
+    ```
+
+    Dis one go create relay wey dey use pin **D5**, di digital pin wey you connect di relay to.
+
+1. To test say di relay dey work, add dis one to di `while True:` loop:
+
+    ```python
+    relay.on()
+    time.sleep(.5)
+    relay.off()
+    ```
+
+    Di code go turn di relay on, wait 0.5 seconds, then e go turn di relay off.
+
+1. Run di Python app. Di relay go dey turn on and off every 10 seconds, with half second delay between di on and off. You go hear di relay click on then click off. One LED for di Grove board go light when di relay dey on, then e go off when di relay dey off.
+
+    ![Di relay wey dey turn on and off](../../../../../images/relay-turn-on-off.gif)
+
+## Control di relay from soil moisture
+
+Now wey di relay dey work, you fit control am based on di soil moisture readings.
+
+### Task
+
+Control di relay.
+
+1. Delete di 3 lines of code wey you add to test di relay. Replace dem with dis code:
+
+    ```python
+    if soil_moisture > 450:
+        print("Soil Moisture is too low, turning relay on.")
+        relay.on()
+    else:
+        print("Soil Moisture is ok, turning relay off.")
+        relay.off()
+    ```
+
+    Dis code dey check di soil moisture level from di soil moisture sensor. If e pass 450, e go turn di relay on, and e go turn am off when e go below 450.
+
+    > 💁 Remember say di capacitive soil moisture sensor dey read say di lower di soil moisture level, di more moisture dey di soil and vice versa.
+
+1. Run di Python app. You go see di relay dey turn on or off based on di soil moisture level. Try am for dry soil, then add water.
+
+    ```output
+    Soil Moisture: 638
+    Soil Moisture is too low, turning relay on.
+    Soil Moisture: 452
+    Soil Moisture is too low, turning relay on.
+    Soil Moisture: 347
+    Soil Moisture is ok, turning relay off.
+    ```
+
+> 💁 You fit find dis code for di [code-relay/pi](../../../../../2-farm/lessons/3-automated-plant-watering/code-relay/pi) folder.
+
+😀 Your soil moisture sensor wey dey control relay program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/3-automated-plant-watering/virtual-device-relay.md b/translations/pcm/2-farm/lessons/3-automated-plant-watering/virtual-device-relay.md
new file mode 100644
index 000000000..afe0367f5
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/3-automated-plant-watering/virtual-device-relay.md
@@ -0,0 +1,129 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "f8f541ee945545017a51aaf309aa37c3",
+  "translation_date": "2025-11-18T19:49:34+00:00",
+  "source_file": "2-farm/lessons/3-automated-plant-watering/virtual-device-relay.md",
+  "language_code": "pcm"
+}
+-->
+# Control Relay - Virtual IoT Hardware
+
+For dis part of di lesson, you go add relay to your virtual IoT device join di soil moisture sensor, and control am based on di soil moisture level.
+
+## Virtual Hardware
+
+Di virtual IoT device go use one simulated Grove relay. Dis one go make dis lab dey same as if you dey use Raspberry Pi with physical Grove relay.
+
+For physical IoT device, di relay go be normally-open relay (e mean say di output circuit go dey open, or e no go connect when signal no dey go di relay). Relay like dis fit handle output circuits up to 250V and 10A.
+
+### Add di relay to CounterFit
+
+To use virtual relay, you go need add am to di CounterFit app.
+
+#### Task
+
+Add di relay to di CounterFit app.
+
+1. Open di `soil-moisture-sensor` project from di last lesson for VS Code if e no dey already open. You go dey add to dis project.
+
+1. Make sure say di CounterFit web app dey run.
+
+1. Create relay:
+
+    1. For di *Create actuator* box for di *Actuators* pane, drop down di *Actuator type* box and select *Relay*.
+
+    1. Set di *Pin* to *5*.
+
+    1. Select di **Add** button to create di relay for Pin 5.
+
+    ![Di relay settings](../../../../../translated_images/counterfit-create-relay.fa7c40fd0f2f6afc33b35ea94fcb235085be4861e14e3fe6b9b7bcfc82d1c888.pcm.png)
+
+    Di relay go dey created and e go show for di actuators list.
+
+    ![Di relay created](../../../../../translated_images/counterfit-relay.bbf74c1dbdc8b9acd983367fcbd06703a402aefef6af54ddb28e11307ba8a12c.pcm.png)
+
+## Program di relay
+
+Di soil moisture sensor app fit now dey programmed to use di virtual relay.
+
+### Task
+
+Program di virtual device.
+
+1. Open di `soil-moisture-sensor` project from di last lesson for VS Code if e no dey already open. You go dey add to dis project.
+
+1. Add di code wey dey below to di `app.py` file under di existing imports:
+
+    ```python
+    from counterfit_shims_grove.grove_relay import GroveRelay
+    ```
+
+    Dis statement dey import di `GroveRelay` from di Grove Python shim libraries to interact with di virtual Grove relay.
+
+1. Add di code wey dey below under di declaration of di `ADC` class to create one `GroveRelay` instance:
+
+    ```python
+    relay = GroveRelay(5)
+    ```
+
+    Dis one go create relay using pin **5**, di pin wey you connect di relay to.
+
+1. To test say di relay dey work, add di code wey dey below to di `while True:` loop:
+
+    ```python
+    relay.on()
+    time.sleep(.5)
+    relay.off()
+    ```
+
+    Di code go turn di relay on, wait 0.5 seconds, then e go turn di relay off.
+
+1. Run di Python app. Di relay go dey turn on and off every 10 seconds, with half second delay between di on and off. You go see di virtual relay for di CounterFit app dey close and open as di relay dey turn on and off.
+
+    ![Di virtual relay dey turn on and off](../../../../../images/virtual-relay-turn-on-off.gif)
+
+## Control di relay from soil moisture
+
+Now wey di relay dey work, you fit control am based on di soil moisture readings.
+
+### Task
+
+Control di relay.
+
+1. Delete di 3 lines of code wey you add to test di relay. Replace dem with di code wey dey below for di same place:
+
+    ```python
+    if soil_moisture > 450:
+        print("Soil Moisture is too low, turning relay on.")
+        relay.on()
+    else:
+        print("Soil Moisture is ok, turning relay off.")
+        relay.off()
+    ```
+
+    Dis code dey check di soil moisture level from di soil moisture sensor. If e dey above 450, e go turn on di relay, and e go turn am off if e go below 450.
+
+    > 💁 Remember say di capacitive soil moisture sensor dey read say di lower di soil moisture level, di more moisture dey for di soil and vice versa.
+
+1. Run di Python app. You go see di relay dey turn on or off based on di soil moisture levels. Change di *Value* or di *Random* settings for di soil moisture sensor to see di value change.
+
+    ```output
+    Soil Moisture: 638
+    Soil Moisture is too low, turning relay on.
+    Soil Moisture: 452
+    Soil Moisture is too low, turning relay on.
+    Soil Moisture: 347
+    Soil Moisture is ok, turning relay off.
+    ```
+
+> 💁 You fit find dis code for di [code-relay/virtual-device](../../../../../2-farm/lessons/3-automated-plant-watering/code-relay/virtual-device) folder.
+
+😀 Your virtual soil moisture sensor wey dey control relay program na success!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg make you sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e good make you use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/3-automated-plant-watering/wio-terminal-relay.md b/translations/pcm/2-farm/lessons/3-automated-plant-watering/wio-terminal-relay.md
new file mode 100644
index 000000000..0bcbd6935
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/3-automated-plant-watering/wio-terminal-relay.md
@@ -0,0 +1,123 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "f3c5d8afa2ef6a0b425ef8ff20615cb4",
+  "translation_date": "2025-11-18T19:46:45+00:00",
+  "source_file": "2-farm/lessons/3-automated-plant-watering/wio-terminal-relay.md",
+  "language_code": "pcm"
+}
+-->
+# Control relay - Wio Terminal
+
+For dis part of di lesson, you go add relay to your Wio Terminal join di soil moisture sensor, and use am control based on di soil moisture level.
+
+## Hardware
+
+Di Wio Terminal need relay.
+
+Di relay wey you go use na [Grove relay](https://www.seeedstudio.com/Grove-Relay.html), e be normally-open relay (e mean say di output circuit dey open or e no connect when signal no dey go di relay) wey fit handle output circuits up to 250V and 10A.
+
+Dis one na digital actuator, so e dey connect to di digital pins for di Wio Terminal. Di analog/digital port wey dem join together don already dey use for di soil moisture sensor, so dis one go plug for di other port wey be combined I<sub>2</sub>C and digital port.
+
+### Connect di relay
+
+Di Grove relay fit connect to di Wio Terminal digital port.
+
+#### Task
+
+Connect di relay.
+
+![A grove relay](../../../../../translated_images/grove-relay.d426958ca210fbd0fb7983d7edc069d46c73a8b0a099d94797bd756f7b6bb6be.pcm.png)
+
+1. Put one end of Grove cable inside di socket for di relay. E go only enter one way.
+
+1. Make sure say di Wio Terminal no connect to your computer or any power supply, then connect di other end of di Grove cable to di left-hand side Grove socket for di Wio Terminal as you dey look di screen. Leave di soil moisture sensor for di right-hand socket.
+
+![Di grove relay wey connect to di left-hand socket, and di soil moisture sensor wey connect to di right-hand socket](../../../../../translated_images/wio-relay-and-soil-moisture-sensor.ed722202d42babe0be5f4518cf13e8c2c81e8df21d37839266cbdb60cf30172d.pcm.png)
+
+1. Put di soil moisture sensor inside soil, if e never dey there from di last lesson.
+
+## Program di relay
+
+Di Wio Terminal fit now dey program to use di relay wey you don attach.
+
+### Task
+
+Program di device.
+
+1. Open di `soil-moisture-sensor` project from di last lesson for VS Code if e never open. You go dey add to dis project.
+
+2. No library dey for dis actuator - e be digital actuator wey dem dey control with high or low signal. To turn am on, you go send high signal to di pin (3.3V), to turn am off you go send low signal (0V). You fit do dis one with di built-in Arduino [`digitalWrite`](https://www.arduino.cc/reference/en/language/functions/digital-io/digitalwrite/) function. Start by adding di code below to di bottom of di `setup` function to setup di combined I<sub>2</sub>C/digital port as output pin to send voltage to di relay:
+
+    ```cpp
+    pinMode(PIN_WIRE_SCL, OUTPUT);
+    ```
+
+    `PIN_WIRE_SCL` na di port number for di combined I<sub>2</sub>C/digital port.
+
+1. To test say di relay dey work, add di code below to di `loop` function, under di final `delay`:
+
+    ```cpp
+    digitalWrite(PIN_WIRE_SCL, HIGH);
+    delay(500);
+    digitalWrite(PIN_WIRE_SCL, LOW);
+    ```
+
+    Di code dey send high signal to di pin wey di relay connect to make e turn on, e go wait 500ms (half second), then e go send low signal to turn di relay off.
+
+1. Build and upload di code to di Wio Terminal.
+
+1. Once di code don upload, di relay go dey turn on and off every 10 seconds, with half second delay between di on and off. You go hear di relay click on then click off. One LED for di Grove board go light when di relay dey on, then e go off when di relay dey off.
+
+    ![Di relay wey dey turn on and off](../../../../../images/relay-turn-on-off.gif)
+
+## Control di relay from soil moisture
+
+Now wey di relay don dey work, e fit dey control based on di soil moisture readings.
+
+### Task
+
+Control di relay.
+
+1. Delete di 3 lines of code wey you add to test di relay. Replace dem with di code below:
+
+    ```cpp
+    if (soil_moisture > 450)
+    {
+        Serial.println("Soil Moisture is too low, turning relay on.");
+        digitalWrite(PIN_WIRE_SCL, HIGH);
+    }
+    else
+    {
+        Serial.println("Soil Moisture is ok, turning relay off.");
+        digitalWrite(PIN_WIRE_SCL, LOW);
+    }
+    ```
+
+    Dis code dey check di soil moisture level from di soil moisture sensor. If e pass 450, e go turn di relay on, and e go turn am off when e go below 450.
+
+    > 💁 Remember say di capacitive soil moisture sensor dey read say di lower di soil moisture level, di more moisture dey for di soil and vice versa.
+
+1. Build and upload di code to di Wio Terminal.
+
+1. Use di serial monitor check di device. You go see di relay dey turn on or off based on di soil moisture level. Try am for dry soil, then add water.
+
+    ```output
+    Soil Moisture: 638
+    Soil Moisture is too low, turning relay on.
+    Soil Moisture: 452
+    Soil Moisture is too low, turning relay on.
+    Soil Moisture: 347
+    Soil Moisture is ok, turning relay off.
+    ```
+
+> 💁 You fit find dis code for di [code-relay/wio-terminal](../../../../../2-farm/lessons/3-automated-plant-watering/code-relay/wio-terminal) folder.
+
+😀 Your soil moisture sensor wey dey control relay program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even though we dey try make am accurate, abeg make you sabi say machine transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong meaning wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md
new file mode 100644
index 000000000..9c92ac33c
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md
@@ -0,0 +1,452 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4d8e7a066d75b625e7a979c14157041d",
+  "translation_date": "2025-11-18T19:35:03+00:00",
+  "source_file": "2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md",
+  "language_code": "pcm"
+}
+-->
+# Move Your Plant Go Di Cloud
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-8.3f21f3c11159e6a0a376351973ea5724d5de68fa23b4288853a174bed9ac48c3.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis lesson na part of di [IoT for Beginners Project 2 - Digital Agriculture series](https://youtube.com/playlist?list=PLmsFUfdnGr3yCutmcVg6eAUEfsGiFXgcx) wey di [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn) teach.
+
+[![Connect your device to di cloud wit Azure IoT Hub](https://img.youtube.com/vi/bNxjopXkhvk/0.jpg)](https://youtu.be/bNxjopXkhvk)
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/15)
+
+## Introduction
+
+For di last lesson, you don learn how to connect your plant to one MQTT broker and control relay from server code wey dey run for your local machine. Dis one na di main idea behind internet-connected automated watering system wey dem dey use for house plants reach commercial farms.
+
+Di IoT device bin dey communicate wit public MQTT broker to show di principles, but dis no be di most reliable or secure way. For dis lesson, you go learn about di cloud and di IoT features wey public cloud services dey provide. You go also sabi how to move your plant go one of dis cloud services from di public MQTT broker.
+
+For dis lesson, we go talk about:
+
+* [Wetin be di cloud?](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud)
+* [Create cloud subscription](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud)
+* [Cloud IoT services](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud)
+* [Create IoT service for di cloud](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud)
+* [Communicate wit IoT Hub](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud)
+* [Connect your device to di IoT service](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud)
+
+## Wetin be di cloud?
+
+Before di cloud, if company wan provide services to dia workers (like database or file storage), or to di public (like websites), dem go build and run data center. E fit be small room wey get few computers or big building wey get plenty computers. Di company go dey manage everything, like:
+
+* Buy computers
+* Maintain hardware
+* Power and cooling
+* Networking
+* Security, including di building and di software for di computers
+* Install and update software
+
+Dis kind setup dey cost plenty money, need plenty skilled workers, and e dey slow to change if dem need am. For example, if online store wan prepare for busy holiday season, dem go need plan months before to buy more hardware, configure am, install am, and put di software wey go run dia sales. After di holiday season, di computers wey dem buy go just dey idle till di next busy season.
+
+✅ You think say dis kind setup go allow companies move fast? If online clothing shop suddenly blow because celebrity wear dia clothes, dem fit increase dia computing power quick to handle di sudden plenty orders?
+
+### Na another person computer
+
+People dey joke say di cloud na 'another person computer'. Di idea simple - instead of you to buy computers, you go rent another person computer. Di cloud provider go dey manage big data centers. Dem go dey responsible for di hardware, power, cooling, networking, security, updates, everything. As customer, you go just rent di computers wey you need, rent more if demand increase, and reduce am if demand drop. Dis cloud data centers dey all over di world.
+
+![A Microsoft cloud data center](../../../../../translated_images/azure-region-existing.73f704604f2aa6cb9b5a49ed40e93d4fd81ae3f4e6af4a8ca504023902832f56.pcm.png)
+![A Microsoft cloud data center planned expansion](../../../../../translated_images/azure-region-planned-expansion.a5074a1e8af74f156a73552d502429e5b126ea5019274d767ecb4b9afdad442b.pcm.png)
+
+Dis data centers fit big reach many square kilometers. Di pictures above na Microsoft cloud data center wey dem take some years ago, e show di size and di planned expansion. Di area wey dem clear for di expansion big pass 5 square kilometers.
+
+> 💁 Dis data centers dey use plenty power, some even get dia own power station. Because of di size and di investment wey di cloud providers dey put, dem dey usually dey environmentally friendly. Dem dey more efficient pass plenty small data centers, dem dey use renewable energy, and dem dey try reduce waste, save water, and plant trees to replace di ones wey dem cut down. You fit read more about how one cloud provider dey work on sustainability for di [Azure sustainability site](https://azure.microsoft.com/global-infrastructure/sustainability/?WT.mc_id=academic-17441-jabenn).
+
+✅ Do small research: Check di major clouds like [Azure from Microsoft](https://azure.microsoft.com/?WT.mc_id=academic-17441-jabenn) or [GCP from Google](https://cloud.google.com). How many data centers dem get, and where dem dey for di world?
+
+Using di cloud dey help companies reduce cost, and e allow dem focus on wetin dem sabi do well, while di cloud provider go handle di rest. Companies no need to rent or buy data center space, pay different providers for power and connectivity, or employ experts. Instead, dem go just dey pay one monthly bill to di cloud provider.
+
+Di cloud provider go use economies of scale to reduce cost, buy computers in bulk, invest in tools to make maintenance easy, and even design dia own hardware to improve dia cloud services.
+
+### Microsoft Azure
+
+Azure na di developer cloud wey Microsoft get, and na di cloud wey you go use for dis lessons. Di video below go give you small overview of Azure:
+
+[![Overview of Azure video](../../../../../translated_images/what-is-azure-video-thumbnail.20174db09e03bbb87d213f928d3cb27410305d2e567e952827de8478dbda959b.pcm.png)](https://www.microsoft.com/videoplayer/embed/RE4Ibng?WT.mc_id=academic-17441-jabenn)
+
+## Create cloud subscription
+
+To use cloud services, you go need to sign up for subscription wit cloud provider. For dis lesson, you go sign up for Microsoft Azure subscription. If you already get Azure subscription, you fit skip dis task. Di subscription details wey we describe here dey correct as at di time wey we write am, but e fit change.
+
+> 💁 If na your school dey give you access to dis lessons, you fit already get Azure subscription. Check wit your teacher.
+
+Two types of free Azure subscription dey wey you fit sign up for:
+
+* **Azure for Students** - Dis one na for students wey don reach 18 years. You no need credit card to sign up, you go use your school email address to confirm say you be student. When you sign up, you go get US$100 to spend on cloud resources, plus free services like free version of IoT service. E go last for 12 months, and you fit renew am every year wey you still be student.
+
+* **Azure free subscription** - Dis one na for anybody wey no be student. You go need credit card to sign up, but dem no go charge your card, na just to confirm say you be real person, no be bot. You go get $200 credit to use for di first 30 days, plus free tiers of Azure services. After your credit finish, dem no go charge your card unless you convert to pay-as-you-go subscription.
+
+> 💁 Microsoft dey offer Azure for Students Starter subscription for students wey never reach 18, but as at di time wey we dey write dis, e no support IoT services.
+
+### Task - sign up for free cloud subscription
+
+If you be student wey don reach 18 years, you fit sign up for Azure for Students subscription. You go need confirm wit school email address. You fit do am in two ways:
+
+* Sign up for GitHub student developer pack for [education.github.com/pack](https://education.github.com/pack). Dis one go give you access to tools and offers, including GitHub and Microsoft Azure. Once you sign up for di developer pack, you fit activate di Azure for Students offer.
+
+* Sign up directly for Azure for Students account for [azure.microsoft.com/free/students](https://azure.microsoft.com/free/students/?WT.mc_id=academic-17441-jabenn).
+
+> ⚠️ If your school email no dey recognized, raise [issue for dis repo](https://github.com/Microsoft/IoT-For-Beginners/issues) and we go see if dem fit add am to di Azure for Students allow list.
+
+If you no be student, or you no get valid school email, you fit sign up for Azure Free subscription.
+
+* Sign up for Azure Free Subscription for [azure.microsoft.com/free](https://azure.microsoft.com/free/?WT.mc_id=academic-17441-jabenn)
+
+## Cloud IoT services
+
+Di public test MQTT broker wey you dey use na good tool to learn, but e get some wahala if you wan use am for commercial purpose:
+
+* Reliability - E be free service wey no get guarantee, dem fit off am anytime
+* Security - E dey public, so anybody fit dey listen to your telemetry or send command to control your hardware
+* Performance - E dey designed for small test messages, e no fit handle plenty messages
+* Discovery - E no get way to know di devices wey dey connected
+
+IoT services for di cloud dey solve dis problems. Big cloud providers dey maintain dem, dem dey invest for reliability and dey ready to fix any issue. Dem get security to stop hackers from reading your data or sending bad commands. Dem dey high performance, fit handle millions of messages every day, and dem dey scale as needed.
+
+> 💁 Even though you go dey pay monthly fee, most cloud providers dey offer free version of dia IoT service wey get limit for di number of messages per day or devices wey fit connect. Dis free version dey enough for developers to learn. For dis lesson, you go use di free version.
+
+IoT devices dey connect to cloud service either wit device SDK (library wey get code to work wit di service features) or directly wit communication protocol like MQTT or HTTP. Di device SDK dey easy because e dey handle everything for you, like wetin topics to publish or subscribe to, and how to handle security.
+
+![Devices connect to a service using a device SDK. Server code also connects to the service via an SDK](../../../../../translated_images/iot-service-connectivity.7e873847921a5d6fd60d0ba3a943210194518cee0d4e362476624316443275c3.pcm.png)
+
+Your device go dey communicate wit other parts of your application through dis service - like how you dey send telemetry and receive commands through MQTT. E dey usually use service SDK or similar library. Messages go come from your device to di service, and other parts of your application fit read dem, or send messages back to your device.
+
+![Devices without a valid secret key cannot connect to the IoT service](../../../../../translated_images/iot-service-allowed-denied-connection.818b0063ac213fb84204a7229303764d9b467ca430fb822b4ac2fca267d56726.pcm.png)
+
+Dis services dey secure by knowing di devices wey fit connect and send data, either by pre-registering di devices or giving dem secret keys or certificates to register dia self di first time dem connect. Unknown devices no fit connect, di service go reject dem and ignore dia messages.
+
+✅ Do small research: Wetin be di downside of open IoT service wey any device or code fit connect? You fit find example of hackers wey don take advantage of dis?
+
+Other parts of your application fit connect to di IoT service to know di devices wey dey connected or registered, and communicate wit dem directly or in bulk.
+
+> 💁 IoT services dey also get extra features, and di cloud providers get other services wey fit connect to di IoT service. For example, if you wan store all di telemetry messages wey di devices dey send for database, e dey easy to connect di service to database and stream di data.
+
+## Create IoT service for di cloud
+
+Now wey you don get Azure subscription, you fit sign up for IoT service. Di IoT service wey Microsoft get na Azure IoT Hub.
+
+![The Azure IoT Hub logo](../../../../../translated_images/azure-iot-hub-logo.28a19de76d0a1932464d858f7558712bcdace3e5ec69c434d482ed7ce41c3a26.pcm.png)
+
+Di video below go give you small overview of Azure IoT Hub:
+
+[![Overview of Azure IoT Hub video](https://img.youtube.com/vi/smuZaZZXKsU/0.jpg)](https://www.youtube.com/watch?v=smuZaZZXKsU)
+
+> 🎥 Click di image above to watch di video
+
+✅ Take small time to do research and read di overview of IoT Hub for di [Microsoft IoT Hub documentation](https://docs.microsoft.com/azure/iot-hub/about-iot-hub?WT.mc_id=academic-17441-jabenn).
+Di cloud services wey dey for Azure fit dey configure through web-based portal, or through command-line interface (CLI). For dis task, you go use CLI.
+
+### Task - Install di Azure CLI
+
+To use di Azure CLI, first you go need install am for your PC or Mac.
+
+1. Follow di instructions wey dey for [Azure CLI documentation](https://docs.microsoft.com/cli/azure/install-azure-cli?WT.mc_id=academic-17441-jabenn) to install di CLI.
+
+1. Di Azure CLI get plenty extensions wey dey add power to manage different Azure services. Install di IoT extension by running dis command for your command line or terminal:
+
+    ```sh
+    az extension add --name azure-iot
+    ```
+
+1. For your command line or terminal, run dis command to log in to your Azure subscription from di Azure CLI.
+
+    ```sh
+    az login
+    ```
+
+    One web page go open for your default browser. Log in with di account wey you use sign up for your Azure subscription. Once you don log in, you fit close di browser tab.
+
+1. If you get plenty Azure subscriptions, like di one wey your school provide, and your own Azure for Students subscription, you go need select di one wey you wan use. Run dis command to list all di subscriptions wey you fit access:
+
+    ```sh
+    az account list --output table
+    ```
+
+    For di output, you go see di name of each subscription plus di `SubscriptionId`.
+
+    ```output
+    ➜  ~ az account list --output table
+    Name                    CloudName    SubscriptionId                        State    IsDefault
+    ----------------------  -----------  ------------------------------------  -------  -----------
+    School-subscription     AzureCloud   cb30cde9-814a-42f0-a111-754cb788e4e1  Enabled  True
+    Azure for Students      AzureCloud   fa51c31b-162c-4599-add6-781def2e1fbf  Enabled  False
+    ```
+
+    To select di subscription wey you wan use, use dis command:
+
+    ```sh
+    az account set --subscription <SubscriptionId>
+    ```
+
+    Replace `<SubscriptionId>` with di Id of di subscription wey you wan use. After you run dis command, run di command again to list your accounts. You go see di `IsDefault` column go show `True` for di subscription wey you just set.
+
+### Task - Create resource group
+
+Azure services, like IoT Hub instances, virtual machines, databases, or AI services, na wetin dem dey call **resources**. Every resource must dey inside **Resource Group**, wey be logical grouping of one or more resources.
+
+> 💁 Resource groups dey help you manage plenty services at once. For example, when you don finish all di lessons for dis project, you fit delete di resource group, and all di resources inside go delete automatically.
+
+1. Azure get plenty data centers for di world, dem dey divide dem into regions. When you wan create Azure resource or resource group, you go need specify di place wey you wan make dem dey. Run dis command to get di list of locations:
+
+    ```sh
+    az account list-locations --output table
+    ```
+
+    You go see list of locations. Di list go long.
+
+    > 💁 As at di time wey dem write dis, na 65 locations dey wey you fit deploy to.
+
+    ```output
+        ➜  ~ az account list-locations --output table
+    DisplayName               Name                 RegionalDisplayName
+    ------------------------  -------------------  -------------------------------------
+    East US                   eastus               (US) East US
+    East US 2                 eastus2              (US) East US 2
+    South Central US          southcentralus       (US) South Central US
+    ...
+    ```
+
+    Write down di value from di `Name` column of di region wey dey near you. You fit find di regions for map for [Azure geographies page](https://azure.microsoft.com/global-infrastructure/geographies/?WT.mc_id=academic-17441-jabenn).
+
+1. Run dis command to create resource group wey dem call `soil-moisture-sensor`. Resource group names must dey unique for your subscription.
+
+    ```sh
+    az group create --name soil-moisture-sensor \
+                    --location <location>
+    ```
+
+    Replace `<location>` with di location wey you select for di previous step.
+
+### Task - Create IoT Hub
+
+You fit now create IoT Hub resource for your resource group.
+
+1. Use dis command to create your IoT hub resource:
+
+    ```sh
+    az iot hub create --resource-group soil-moisture-sensor \
+                      --sku F1 \
+                      --partition-count 2 \
+                      --name <hub_name>
+    ```
+
+    Replace `<hub_name>` with name for your hub. Dis name must dey globally unique - e mean say no other IoT Hub wey anybody don create fit get di same name. Dis name dey use for URL wey dey point to di hub, so e must dey unique. Use something like `soil-moisture-sensor-` plus add unique identifier for di end, like random words or your name.
+
+    Di `--sku F1` option dey tell am to use free tier. Di free tier dey support 8,000 messages per day plus most of di features wey di full-price tiers get.
+
+    > 🎓 Different pricing levels for Azure services na wetin dem dey call tiers. Each tier get different cost and dey provide different features or data volumes.
+
+    > 💁 If you wan learn more about pricing, you fit check di [Azure IoT Hub pricing guide](https://azure.microsoft.com/pricing/details/iot-hub/?WT.mc_id=academic-17441-jabenn).
+
+    Di `--partition-count 2` option dey define how many streams of data di IoT Hub go support, more partitions dey reduce data blocking when plenty things dey read and write from di IoT Hub. Partitions dey outside di scope of dis lessons, but dis value need dey set to create free tier IoT Hub.
+
+    > 💁 You fit only get one free tier IoT Hub per subscription.
+
+Di IoT Hub go dey create. E fit take one minute or so to complete.
+
+## Communicate with IoT Hub
+
+For di previous lesson, you use MQTT and send messages back and forth for different topics, with di different topics get different purposes. Instead of send messages for different topics, IoT Hub get defined ways wey di device fit communicate with di Hub, or di Hub fit communicate with di device.
+
+> 💁 Di communication between IoT Hub and your device fit use MQTT, HTTPS or AMQP.
+
+* Device to cloud (D2C) messages - na messages wey device dey send go IoT Hub, like telemetry. Your application code fit read dem from di IoT Hub.
+
+    > 🎓 Di IoT Hub dey use Azure service wey dem call [Event Hubs](https://docs.microsoft.com/azure/event-hubs/?WT.mc_id=academic-17441-jabenn). When you dey write code to read messages wey dem send to di hub, dem dey call dem events.
+
+* Cloud to device (C2D) messages - na messages wey application code dey send through IoT Hub go IoT device.
+
+* Direct method requests - na messages wey application code dey send through IoT Hub go IoT device to request make di device do something, like control actuator. Dis messages dey need response so your application code fit know if e process am well.
+
+* Device twins - na JSON documents wey dey synchronized between di device and IoT Hub, dem dey use am store settings or other properties wey di device report, or wey di IoT Hub suppose set for di device (dem dey call am desired).
+
+IoT Hub fit store messages and direct method requests for configurable time (default na one day), so if device or application code lose connection, e fit still collect messages wey dem send while e dey offline after e reconnect. Device twins dey permanently for IoT Hub, so anytime device fit reconnect and get di latest device twin.
+
+✅ Do some research: Read more about dis message types for [Device-to-cloud communications guidance](https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-d2c-guidance?WT.mc_id=academic-17441-jabenn), and [Cloud-to-device communications guidance](https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-c2d-guidance?WT.mc_id=academic-17441-jabenn) for di IoT Hub documentation.
+
+## Connect your device to di IoT service
+
+Once di hub don create, your IoT device fit connect to am. Only registered devices fit connect to service, so you go need register your device first. When you register, you go get connection string wey di device fit use connect. Dis connection string na device specific, e get information about di IoT Hub, di device, and secret key wey go allow di device connect.
+
+> 🎓 Connection string na general term for text wey get connection details. Dem dey use am connect to IoT Hubs, databases and plenty other services. E dey usually get identifier for di service, like URL, and security information like secret key. Dem dey pass am to SDKs to connect to di service.
+
+> ⚠️ Connection strings suppose dey secure! Security go dey explain well for future lesson.
+
+### Task - Register your IoT device
+
+Di IoT device fit dey register with your IoT Hub using Azure CLI.
+
+1. Run dis command to register device:
+
+    ```sh
+    az iot hub device-identity create --device-id soil-moisture-sensor \
+                                      --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+    Dis go create device wey get ID of `soil-moisture-sensor`.
+
+1. When your IoT device dey connect to your IoT Hub using SDK, e go need use connection string wey dey give URL of di hub, plus secret key. Run dis command to get di connection string:
+
+    ```sh
+    az iot hub device-identity connection-string show --device-id soil-moisture-sensor \
+                                                      --output table \
+                                                      --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+1. Keep di connection string wey show for di output because you go need am later.
+
+### Task - Connect your IoT device to di cloud
+
+Follow di guide wey dey relevant to connect your IoT device to di cloud:
+
+* [Arduino - Wio Terminal](wio-terminal-connect-hub.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-connect-hub.md)
+
+### Task - Monitor events
+
+For now, you no go update your server code. Instead, you fit use Azure CLI to monitor events wey dey come from your IoT device.
+
+1. Make sure say your IoT device dey run and dey send soil moisture telemetry values.
+
+1. Run dis command for your command prompt or terminal to monitor messages wey your IoT device dey send go IoT Hub:
+
+    ```sh
+    az iot hub monitor-events --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+    You go see messages dey appear for di console output as dem dey send am from your IoT device.
+
+    ```output
+    Starting event monitor, use ctrl-c to stop...
+    {
+        "event": {
+            "origin": "soil-moisture-sensor",
+            "module": "",
+            "interface": "",
+            "component": "",
+            "payload": "{\"soil_moisture\": 376}"
+        }
+    },
+    {
+        "event": {
+            "origin": "soil-moisture-sensor",
+            "module": "",
+            "interface": "",
+            "component": "",
+            "payload": "{\"soil_moisture\": 381}"
+        }
+    }
+    ```
+
+    Di contents of di `payload` go match di message wey your IoT device send.
+
+    > As at di time wey dem write dis, di `az iot` extension no dey fully work for Apple Silicon. If you dey use Apple Silicon device, you go need monitor di messages another way, like using [Azure IoT Tools for Visual Studio Code](https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-vscode-iot-toolkit-cloud-device-messaging).
+
+1. Dis messages get plenty properties wey dem dey attach automatically, like di timestamp wey dem send am. Dem dey call dem *annotations*. To see all di message annotations, use dis command:
+
+    ```sh
+    az iot hub monitor-events --properties anno --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+    You go see messages dey appear for di console output as dem dey send am from your IoT device.
+
+    ```output
+    Starting event monitor, use ctrl-c to stop...
+    {
+        "event": {
+            "origin": "soil-moisture-sensor",
+            "module": "",
+            "interface": "",
+            "component": "",
+            "properties": {},
+            "annotations": {
+                "iothub-connection-device-id": "soil-moisture-sensor",
+                "iothub-connection-auth-method": "{\"scope\":\"device\",\"type\":\"sas\",\"issuer\":\"iothub\",\"acceptingIpFilterRule\":null}",
+                "iothub-connection-auth-generation-id": "637553997165220462",
+                "iothub-enqueuedtime": 1619976150288,
+                "iothub-message-source": "Telemetry",
+                "x-opt-sequence-number": 1379,
+                "x-opt-offset": "550576",
+                "x-opt-enqueued-time": 1619976150277
+            },
+            "payload": "{\"soil_moisture\": 381}"
+        }
+    }
+    ```
+
+    Di time values for di annotations dey for [UNIX time](https://wikipedia.org/wiki/Unix_time), wey represent di number of seconds since midnight for 1<sup>st</sup> January 1970.
+
+    Exit di event monitor when you don finish.
+
+### Task - Control your IoT device
+
+You fit also use Azure CLI to call direct methods for your IoT device.
+
+1. Run dis command for your command prompt or terminal to invoke di `relay_on` method for di IoT device:
+
+    ```sh
+    az iot hub invoke-device-method --device-id soil-moisture-sensor \
+                                    --method-name relay_on \
+                                    --method-payload '{}' \
+                                    --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+    Dis go send direct method request for di method wey `method-name` specify. Direct methods fit carry payload wey get data for di method, and you fit specify am for di `method-payload` parameter as JSON.
+
+    You go see di relay turn on, and di output wey match from your IoT device:
+
+    ```output
+    Direct method received -  relay_on
+    ```
+
+1. Repeat di step wey dey above, but set di `--method-name` to `relay_off`. You go see di relay turn off and di output wey match from di IoT device.
+
+---
+
+## 🚀 Challenge
+
+Di free tier of IoT Hub dey allow 8,000 messages per day. Di code wey you write dey send telemetry messages every 10 seconds. How many messages per day na one message every 10 seconds?
+
+Think about how often soil moisture measurements suppose dey send? How you fit change your code to stay within di free tier and check as often as e need but no too much? Wetin go happen if you wan add second device?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/16)
+
+## Review & Self Study
+
+Di IoT Hub SDK na open source for both Arduino and Python. For di code repos wey dey GitHub, dem get plenty samples wey dey show how to work with different IoT Hub features.
+
+* If you dey use Wio Terminal, check di [Arduino samples for GitHub](https://github.com/Azure/azure-iot-pal-arduino/tree/master/pal/samples)
+* If you dey use Raspberry Pi or Virtual device, make you check [Python samples for GitHub](https://github.com/Azure/azure-iot-sdk-python/tree/master/azure-iot-hub/samples)
+
+## Assignment
+
+[Learn about cloud services](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/assignment.md b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/assignment.md
new file mode 100644
index 000000000..7f9cc3599
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/assignment.md
@@ -0,0 +1,35 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "bfd35499bd68d7d740242bfea784bbeb",
+  "translation_date": "2025-11-18T19:37:07+00:00",
+  "source_file": "2-farm/lessons/4-migrate-your-plant-to-the-cloud/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Learn about cloud services
+
+## Instructions
+
+Clouds, like Azure wey Microsoft get, no be only compute dem dey rent give people. Di main kain cloud services wey dem dey offer include:
+
+* Infrastructure as a service (IaaS)
+* Platform as a service (PaaS)
+* Serverless
+* Software as a service (SaaS)
+
+Make you sabi di different kain services dem, and explain wetin dem mean and how dem take different. Explain which of di services go make sense for IoT developers.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Explain di different cloud services | Give clear explanation of all di 4 kain services | Fit explain 3 kain services | Fit only explain 1 or 2 of di services |
+| Explain which service dey relevant for IoT | Talk which services dey relevant for IoT developers and why | Talk which services dey relevant for IoT developers but no talk why | No fit talk which services dey relevant for IoT developers |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen from di use of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/single-board-computer-connect-hub.md b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/single-board-computer-connect-hub.md
new file mode 100644
index 000000000..8238c2fa5
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/single-board-computer-connect-hub.md
@@ -0,0 +1,132 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "3ac42e284a7222c0e83d2d43231a364f",
+  "translation_date": "2025-11-18T19:36:41+00:00",
+  "source_file": "2-farm/lessons/4-migrate-your-plant-to-the-cloud/single-board-computer-connect-hub.md",
+  "language_code": "pcm"
+}
+-->
+# Connect your IoT device to di cloud - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go connect your virtual IoT device or Raspberry Pi to your IoT Hub, so e fit dey send telemetry and receive commands.
+
+## Connect your device to IoT Hub
+
+Di next step na to connect your device to IoT Hub.
+
+### Task - connect to IoT Hub
+
+1. Open di `soil-moisture-sensor` folder for VS Code. Make sure say di virtual environment dey run for di terminal if you dey use virtual IoT device.
+
+1. Install some extra Pip packages:
+
+    ```sh
+    pip3 install azure-iot-device
+    ```
+
+    `azure-iot-device` na library wey go help you communicate with your IoT Hub.
+
+1. Add di imports wey dey below to di top of di `app.py` file, under di imports wey dey already:
+
+    ```python
+    from azure.iot.device import IoTHubDeviceClient, Message, MethodResponse
+    ```
+
+    Dis code go import di SDK wey go help you communicate with your IoT Hub.
+
+1. Remove di `import paho.mqtt.client as mqtt` line because we no need dis library again. Remove all di MQTT code including di topic names, all di code wey dey use `mqtt_client` and di `handle_command`. Make sure say you keep di `while True:` loop, just delete di `mqtt_client.publish` line wey dey inside dis loop.
+
+1. Add di code wey dey below under di import statements:
+
+    ```python
+    connection_string = "<connection string>"
+    ```
+
+    Replace `<connection string>` with di connection string wey you collect for di device earlier for dis lesson.
+
+    > 💁 Dis no be di best way to do am. Connection strings no suppose dey inside source code because e fit enter source code control and anybody fit see am. We dey do am like dis for now to make am simple. Normally, you suppose use something like environment variable and tool like [`python-dotenv`](https://pypi.org/project/python-dotenv/). You go learn more about dis one for di next lesson.
+
+1. Under dis code, add di code wey dey below to create device client object wey fit communicate with IoT Hub, and connect am:
+
+    ```python
+    device_client = IoTHubDeviceClient.create_from_connection_string(connection_string)
+
+    print('Connecting')
+    device_client.connect()
+    print('Connected')
+    ```
+
+1. Run dis code. You go see say your device don connect.
+
+    ```output
+    pi@raspberrypi:~/soil-moisture-sensor $ python3 app.py 
+    Connecting
+    Connected
+    Soil moisture: 379
+    ```
+
+## Send telemetry
+
+Now wey your device don connect, you fit dey send telemetry go IoT Hub instead of di MQTT broker.
+
+### Task - send telemetry
+
+1. Add di code wey dey below inside di `while True` loop, just before di sleep:
+
+    ```python
+    message = Message(json.dumps({ 'soil_moisture': soil_moisture }))
+    device_client.send_message(message)
+    ```
+
+    Dis code go create IoT Hub `Message` wey get di soil moisture reading as JSON string, then e go send am go IoT Hub as device to cloud message.
+
+## Handle commands
+
+Your device need to handle command wey di server code go send to control di relay. Dis one dey sent as direct method request.
+
+## Task - handle a direct method request
+
+1. Add di code wey dey below before di `while True` loop:
+
+    ```python
+    def handle_method_request(request):
+        print("Direct method received - ", request.name)
+    
+        if request.name == "relay_on":
+            relay.on()
+        elif request.name == "relay_off":
+            relay.off()    
+    ```
+
+    Dis one dey define method, `handle_method_request`, wey go run when direct method dey called by IoT Hub. Each direct method get name, and dis code dey expect method wey dem call `relay_on` to turn di relay on, and `relay_off` to turn di relay off.
+
+    > 💁 You fit also do dis one for one direct method request, by passing di state wey you want for di relay inside payload wey fit dey passed with di method request and dey available from di `request` object.
+
+1. Direct methods need response to show di calling code say dem don handle am. Add di code wey dey below for di end of di `handle_method_request` function to create response for di request:
+
+    ```python
+    method_response = MethodResponse.create_from_method_request(request, 200)
+    device_client.send_method_response(method_response)
+    ```
+
+    Dis code dey send response to di direct method request with HTTP status code of 200, and e go send am back to IoT Hub.
+
+1. Add di code wey dey below under dis function definition:
+
+    ```python
+    device_client.on_method_request_received = handle_method_request
+    ```
+
+    Dis code dey tell di IoT Hub client to call di `handle_method_request` function when direct method dey called.
+
+> 💁 You fit find dis code for di [code/pi](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/pi) or [code/virtual-device](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/virtual-device) folder.
+
+😀 Your soil moisture sensor program don connect to your IoT Hub!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go trust. For important mata, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/wio-terminal-connect-hub.md b/translations/pcm/2-farm/lessons/4-migrate-your-plant-to-the-cloud/wio-terminal-connect-hub.md
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@@ -0,0 +1,308 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "28320305a35ea3bc59c41fe146a2e6ed",
+  "translation_date": "2025-11-18T19:34:32+00:00",
+  "source_file": "2-farm/lessons/4-migrate-your-plant-to-the-cloud/wio-terminal-connect-hub.md",
+  "language_code": "pcm"
+}
+-->
+# Connect your IoT device to di cloud - Wio Terminal
+
+For dis part of di lesson, you go connect your Wio Terminal to your IoT Hub, so e fit dey send telemetry and receive commands.
+
+## Connect your device to IoT Hub
+
+Di next step na to connect your device to IoT Hub.
+
+### Task - connect to IoT Hub
+
+1. Open di `soil-moisture-sensor` project for VS Code.
+
+1. Open di `platformio.ini` file. Comot di `knolleary/PubSubClient` library dependency. Dem bin use am to connect to di public MQTT broker, but e no dey needed to connect to IoT Hub.
+
+1. Add di following library dependencies:
+
+    ```ini
+    seeed-studio/Seeed Arduino RTC @ 2.0.0
+    arduino-libraries/AzureIoTHub @ 1.6.0
+    azure/AzureIoTUtility @ 1.6.1
+    azure/AzureIoTProtocol_MQTT @ 1.6.0
+    azure/AzureIoTProtocol_HTTP @ 1.6.0
+    azure/AzureIoTSocket_WiFi @ 1.0.2
+    ```
+
+   Di `Seeed Arduino RTC` library dey provide code to interact with di real-time clock wey dey Wio Terminal, wey dem dey use track time. Di remaining libraries go allow your IoT device connect to IoT Hub.
+
+1. Add di following to di bottom of di `platformio.ini` file:
+
+    ```ini
+    build_flags =
+        -DDONT_USE_UPLOADTOBLOB
+    ```
+
+   Dis one go set compiler flag wey dem need when dem dey compile di Arduino IoT Hub code.
+
+1. Open di `config.h` header file. Comot all di MQTT settings and add di following constant for di device connection string:
+
+    ```cpp
+    // IoT Hub settings
+    const char *CONNECTION_STRING = "<connection string>";
+    ```
+
+   Replace `<connection string>` with di connection string for your device wey you copy before.
+
+1. Di connection to IoT Hub dey use time-based token. Dis mean say di IoT device need sabi di current time. Unlike operating systems like Windows, macOS or Linux, microcontrollers no dey automatically synchronize di current time over di Internet. Dis mean say you go need add code to get di current time from one [NTP](https://wikipedia.org/wiki/Network_Time_Protocol) server. Once di time don dey retrieved, e fit dey stored for di real-time clock wey dey Wio Terminal, so di correct time fit dey requested later, as long as di device no lose power. Add new file wey you go call `ntp.h` with di following code:
+
+    ```cpp
+    #pragma once
+    
+    #include "DateTime.h"
+    #include <time.h>
+    #include "samd/NTPClientAz.h"
+    #include <sys/time.h>
+
+    static void initTime()
+    {
+        WiFiUDP _udp;
+        time_t epochTime = (time_t)-1;
+        NTPClientAz ntpClient;
+
+        ntpClient.begin();
+
+        while (true)
+        {
+            epochTime = ntpClient.getEpochTime("0.pool.ntp.org");
+
+            if (epochTime == (time_t)-1)
+            {
+                Serial.println("Fetching NTP epoch time failed! Waiting 2 seconds to retry.");
+                delay(2000);
+            }
+            else
+            {
+                Serial.print("Fetched NTP epoch time is: ");
+
+                char buff[32];
+                sprintf(buff, "%.f", difftime(epochTime, (time_t)0));
+                Serial.println(buff);
+                break;
+            }
+        }
+
+        ntpClient.end();
+
+        struct timeval tv;
+        tv.tv_sec = epochTime;
+        tv.tv_usec = 0;
+
+        settimeofday(&tv, NULL);
+    }
+    ```
+
+   Di details of dis code no dey inside di scope of dis lesson. E dey define one function wey dem call `initTime` wey go get di current time from one NTP server and use am set di clock wey dey Wio Terminal.
+
+1. Open di `main.cpp` file and comot all di MQTT code, including di `PubSubClient.h` header file, di declaration of di `PubSubClient` variable, di `reconnectMQTTClient` and `createMQTTClient` methods, and any calls to dis variables and methods. Dis file suppose only contain code to connect to WiFi, get di soil moisture and create JSON document with am.
+
+1. Add di following `#include` directives to di top of di `main.cpp` file to include header files for di IoT Hub libraries, and for setting di time:
+
+    ```cpp
+    #include <AzureIoTHub.h>
+    #include <AzureIoTProtocol_MQTT.h>
+    #include <iothubtransportmqtt.h>
+    #include "ntp.h"
+    ```
+
+1. Add di following call to di end of di `setup` function to set di current time:
+
+    ```cpp
+    initTime();
+    ```
+
+1. Add di following variable declaration to di top of di file, just below di include directives:
+
+    ```cpp
+    IOTHUB_DEVICE_CLIENT_LL_HANDLE _device_ll_handle;
+    ```
+
+   Dis one dey declare `IOTHUB_DEVICE_CLIENT_LL_HANDLE`, wey be handle to di connection to di IoT Hub.
+
+1. Below dis one, add di following code:
+
+    ```cpp
+    static void connectionStatusCallback(IOTHUB_CLIENT_CONNECTION_STATUS result, IOTHUB_CLIENT_CONNECTION_STATUS_REASON reason, void *user_context)
+    {
+        if (result == IOTHUB_CLIENT_CONNECTION_AUTHENTICATED)
+        {
+            Serial.println("The device client is connected to iothub");
+        }
+        else
+        {
+            Serial.println("The device client has been disconnected");
+        }
+    }
+    ```
+
+   Dis one dey declare callback function wey dem go call when di connection to di IoT Hub change status, like when e connect or disconnect. Di status go dey sent to di serial port.
+
+1. Below dis one, add function to connect to IoT Hub:
+
+    ```cpp
+    void connectIoTHub()
+    {
+        IoTHub_Init();
+    
+        _device_ll_handle = IoTHubDeviceClient_LL_CreateFromConnectionString(CONNECTION_STRING, MQTT_Protocol);
+        
+        if (_device_ll_handle == NULL)
+        {
+            Serial.println("Failure creating Iothub device. Hint: Check your connection string.");
+            return;
+        }
+    
+        IoTHubDeviceClient_LL_SetConnectionStatusCallback(_device_ll_handle, connectionStatusCallback, NULL);
+    }
+    ```
+
+   Dis code dey initialize di IoT Hub library code, then e go create connection using di connection string wey dey `config.h` header file. Dis connection dey based on MQTT. If di connection fail, e go send am to di serial port - if you see dis for di output, check di connection string. Finally, di connection status callback go dey set up.
+
+1. Call dis function for di `setup` function below di call to `initTime`:
+
+    ```cpp
+    connectIoTHub();
+    ```
+
+1. Just like di MQTT client, dis code dey run for one single thread so e need time to process messages wey di hub dey send, and messages wey di hub dey receive. Add di following to di top of di `loop` function to do dis:
+
+    ```cpp
+    IoTHubDeviceClient_LL_DoWork(_device_ll_handle);
+    ```
+
+1. Build and upload dis code. You go see di connection for di serial monitor:
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Fetched NTP epoch time is: 1619983687
+    Sending telemetry {"soil_moisture":391}
+    The device client is connected to iothub
+    ```
+
+   For di output, you go see di NTP time wey dem dey fetch, followed by di device client wey dey connect. E fit take few seconds to connect, so you fit see di soil moisture for di output while di device dey connect.
+
+   > 💁 You fit convert di UNIX time for di NTP to di one wey you fit read well well using website like [unixtimestamp.com](https://www.unixtimestamp.com)
+
+## Send telemetry
+
+Now wey your device don connect, you fit send telemetry to di IoT Hub instead of di MQTT broker.
+
+### Task - send telemetry
+
+1. Add di following function above di `setup` function:
+
+    ```cpp
+    void sendTelemetry(const char *telemetry)
+    {
+        IOTHUB_MESSAGE_HANDLE message_handle = IoTHubMessage_CreateFromString(telemetry);
+        IoTHubDeviceClient_LL_SendEventAsync(_device_ll_handle, message_handle, NULL, NULL);
+        IoTHubMessage_Destroy(message_handle);
+    }
+    ```
+
+   Dis code dey create IoT Hub message from string wey dem pass as parameter, send am to di hub, then e go clean di message object.
+
+1. Call dis code for di `loop` function, just after di line wey di telemetry dey sent to di serial port:
+
+    ```cpp
+    sendTelemetry(telemetry.c_str());
+    ```
+
+## Handle commands
+
+Your device need handle command from di server code to control di relay. Dis one dey sent as direct method request.
+
+## Task - handle direct method request
+
+1. Add di following code before di `connectIoTHub` function:
+
+    ```cpp
+    int directMethodCallback(const char *method_name, const unsigned char *payload, size_t size, unsigned char **response, size_t *response_size, void *userContextCallback)
+    {
+        Serial.printf("Direct method received %s\r\n", method_name);
+    
+        if (strcmp(method_name, "relay_on") == 0)
+        {
+            digitalWrite(PIN_WIRE_SCL, HIGH);
+        }
+        else if (strcmp(method_name, "relay_off") == 0)
+        {
+            digitalWrite(PIN_WIRE_SCL, LOW);
+        }
+    }
+    ```
+
+   Dis code dey define callback method wey di IoT Hub library fit call when e receive direct method request. Di method wey dem request dey sent for di `method_name` parameter. Dis function go print di method wey dem call to di serial port, then e go turn di relay on or off depending on di method name.
+
+   > 💁 You fit also implement dis one for one single direct method request, pass di desired state of di relay for payload wey dem fit pass with di method request and dey available from di `payload` parameter.
+
+1. Add di following code to di end of di `directMethodCallback` function:
+
+    ```cpp
+    char resultBuff[16];
+    sprintf(resultBuff, "{\"Result\":\"\"}");
+    *response_size = strlen(resultBuff);
+    *response = (unsigned char *)malloc(*response_size);
+    memcpy(*response, resultBuff, *response_size);
+
+    return IOTHUB_CLIENT_OK;
+    ```
+
+   Direct method requests dey need response, and di response dey two parts - response as text, and return code. Dis code go create result as di following JSON document:
+
+    ```JSON
+    {
+        "Result": ""
+    }
+    ```
+
+   Dis one go then copy am into di `response` parameter, and di size of dis response go dey set for di `response_size` parameter. Dis code go then return `IOTHUB_CLIENT_OK` to show say di method handle well.
+
+1. Wire up di callback by adding di following to di end of di `connectIoTHub` function:
+
+    ```cpp
+    IoTHubClient_LL_SetDeviceMethodCallback(_device_ll_handle, directMethodCallback, NULL);
+    ```
+
+1. Di `loop` function go call di `IoTHubDeviceClient_LL_DoWork` function to process events wey IoT Hub dey send. Dis one dey only called every 10 seconds because of di `delay`, meaning direct methods dey only process every 10 seconds. To make dis one more efficient, di 10 seconds delay fit dey implemented as many shorter delays, dey call `IoTHubDeviceClient_LL_DoWork` each time. To do dis, add di following code above di `loop` function:
+
+    ```cpp
+    void work_delay(int delay_time)
+    {
+        int current = 0;
+        do
+        {
+            IoTHubDeviceClient_LL_DoWork(_device_ll_handle);
+            delay(100);
+            current += 100;
+        } while (current < delay_time);
+    }
+    ```
+
+   Dis code go dey loop repeatedly, dey call `IoTHubDeviceClient_LL_DoWork` and dey delay for 100ms each time. E go do dis as many times as dem need to delay for di amount of time wey dem give for di `delay_time` parameter. Dis mean say di device dey wait at most 100ms to process direct method requests.
+
+1. For di `loop` function, comot di call to `IoTHubDeviceClient_LL_DoWork`, and replace di `delay(10000)` call with di following to call dis new function:
+
+    ```cpp
+    work_delay(10000);
+    ```
+
+> 💁 You fit find dis code for di [code/wio-terminal](../../../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal) folder.
+
+😀 Your soil moisture sensor program don connect to your IoT Hub!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg sabi say transle-shon wey machine do fit get mistake or no dey accurate. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transle-shon dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/5-migrate-application-to-the-cloud/README.md b/translations/pcm/2-farm/lessons/5-migrate-application-to-the-cloud/README.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/2-farm/lessons/5-migrate-application-to-the-cloud/README.md
@@ -0,0 +1,660 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "5f2d2f4a5a023c93ab34a0cc5b47c0c4",
+  "translation_date": "2025-11-18T19:42:29+00:00",
+  "source_file": "2-farm/lessons/5-migrate-application-to-the-cloud/README.md",
+  "language_code": "pcm"
+}
+-->
+# Move your app logic go cloud
+
+![Sketchnote wey show wetin dis lesson dey about](../../../../../translated_images/lesson-9.dfe99c8e891f48e179724520da9f5794392cf9a625079281ccdcbf09bd85e1b6.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image to see di bigger version.
+
+Dis lesson na part of di [IoT for Beginners Project 2 - Digital Agriculture series](https://youtube.com/playlist?list=PLmsFUfdnGr3yCutmcVg6eAUEfsGiFXgcx) wey Microsoft Reactor teach. [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn).
+
+[![Control your IoT device with serverless code](https://img.youtube.com/vi/VVZDcs5u1_I/0.jpg)](https://youtu.be/VVZDcs5u1_I)
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/17)
+
+## Introduction
+
+For di last lesson, you don learn how to connect di soil moisture monitor for your plant and relay control go cloud-based IoT service. Di next step na to move di server code wey dey control di relay timing go di cloud. For dis lesson, you go learn how to do am with serverless functions.
+
+For dis lesson we go talk about:
+
+* [Wetin be serverless?](../../../../../2-farm/lessons/5-migrate-application-to-the-cloud)
+* [How to create serverless application](../../../../../2-farm/lessons/5-migrate-application-to-the-cloud)
+* [How to create IoT Hub event trigger](../../../../../2-farm/lessons/5-migrate-application-to-the-cloud)
+* [How to send direct method requests from serverless code](../../../../../2-farm/lessons/5-migrate-application-to-the-cloud)
+* [How to deploy your serverless code go cloud](../../../../../2-farm/lessons/5-migrate-application-to-the-cloud)
+
+## Wetin be serverless?
+
+Serverless, or serverless computing, na di way wey you go fit create small code wey go run for cloud anytime event happen. When di event happen, your code go run and e go get di data wey dey about di event. Dis events fit come from different things like web requests, messages wey dem put for queue, changes wey happen for database, or messages wey IoT devices send go IoT service.
+
+![Events wey dey come from IoT service go serverless service, all dey process at di same time by plenty functions wey dey run](../../../../../translated_images/iot-messages-to-serverless.0194da1cc0732bb7d0f823aed3fce54735c6b1ad3bf36089804d8aaefc0a774f.pcm.png)
+
+> 💁 If you don use database triggers before, you fit think am like di same thing, code wey dey triggered by event like inserting row.
+
+![When plenty events dey happen at di same time, di serverless service go scale up to run all di events at di same time](../../../../../translated_images/serverless-scaling.f8c769adf0413fd17be1af4f07ff63016b347e2ff869be6c4abb211f9e93909d.pcm.png)
+
+Your code go only run when di event happen, e no dey alive for other times. Di event go happen, your code go load and run. Dis make serverless dey scalable - if plenty events happen at di same time, di cloud provider fit run your function as many times as you need am for di same time across di servers wey dem get. Di downside be say if you need to share information between events, you go need save am somewhere like database instead of memory.
+
+Your code go dey written as function wey dey take di event details as parameter. You fit use plenty programming languages write dis serverless functions.
+
+> 🎓 Serverless dey also dey call Functions as a service (FaaS) because each event trigger dey work as function for code.
+
+Even though di name na serverless, e still dey use servers. Di name dey because as developer, you no go need worry about di servers wey go run your code, all you go care about na say your code go run when event happen. Di cloud provider get serverless *runtime* wey dey manage di servers, networking, storage, CPU, memory and di rest wey your code need. Dis model mean say you no go pay per server, instead you go pay for di time wey your code dey run and di memory wey e use.
+
+> 💰 Serverless na one of di cheapest way to run code for cloud. For example, as of di time wey dem write dis, one cloud provider dey allow all your serverless functions run 1,000,000 times every month before dem go start to charge you, and after dat dem go charge US$0.20 for every 1,000,000 executions. If your code no dey run, you no go pay.
+
+As IoT developer, di serverless model dey perfect. You fit write function wey go dey called anytime message dey sent from any IoT device wey dey connected to your cloud-hosted IoT service. Your code go handle all di messages wey dem send, but e go only dey run when e need.
+
+✅ Look di code wey you write as server code wey dey listen to messages over MQTT. How e fit run for cloud using serverless? How you think say di code go change to support serverless computing?
+
+> 💁 Di serverless model dey move go other cloud services apart from running code. For example, serverless databases dey for cloud wey dey use serverless pricing model wey you go pay per request wey dem make against di database, like query or insert, usually based on di work wey dem do to service di request. For example, one select of one row against primary key go cost less than one complicated operation wey dey join plenty tables and dey return thousands of rows.
+
+## How to create serverless application
+
+Di serverless computing service wey Microsoft get na Azure Functions.
+
+![Di Azure Functions logo](../../../../../translated_images/azure-functions-logo.1cfc8e3204c9c44aaf80fcf406fc8544d80d7f00f8d3e8ed6fed764563e17564.pcm.png)
+
+Di short video wey dey below dey give overview of Azure Functions
+
+[![Azure Functions overview video](https://img.youtube.com/vi/8-jz5f_JyEQ/0.jpg)](https://www.youtube.com/watch?v=8-jz5f_JyEQ)
+
+> 🎥 Click di image above to watch di video
+
+✅ Take small time do research and read di overview of Azure Functions for di [Microsoft Azure Functions documentation](https://docs.microsoft.com/azure/azure-functions/functions-overview?WT.mc_id=academic-17441-jabenn).
+
+To write Azure Functions, you go start with Azure Functions app for di language wey you choose. Out of di box Azure Functions dey support Python, JavaScript, TypeScript, C#, F#, Java, and Powershell. For dis lesson, you go learn how to write Azure Functions app for Python.
+
+> 💁 Azure Functions dey also support custom handlers so you fit write your functions for any language wey dey support HTTP requests, including old languages like COBOL.
+
+Functions apps dey consist of one or more *triggers* - functions wey dey respond to events. You fit get plenty triggers inside one function app, all dey share di same configuration. For example, di configuration file for your Functions app fit get di connection details of your IoT Hub, and all di functions for di app fit use am connect and dey listen for events.
+
+### Task - install di Azure Functions tools
+
+> As of di time wey dem write dis, di Azure Functions code tools no dey fully work for Apple Silicon with Python projects. You go need use Intel-based Mac, Windows PC, or Linux PC instead.
+
+One better feature of Azure Functions na say you fit run am locally. Di same runtime wey dey used for cloud fit run for your computer, so you fit write code wey dey respond to IoT messages and run am locally. You fit even debug your code as events dey handled. Once you dey happy with your code, you fit deploy am go cloud.
+
+Di Azure Functions tools dey available as CLI, wey dem dey call Azure Functions Core Tools.
+
+1. Install di Azure Functions core tools by following di instructions for di [Azure Functions Core Tools documentation](https://docs.microsoft.com/azure/azure-functions/functions-run-local?WT.mc_id=academic-17441-jabenn)
+
+1. Install di Azure Functions extension for VS Code. Dis extension dey provide support for creating, debugging and deploying Azure functions. Check di [Azure Functions extension documentation](https://marketplace.visualstudio.com/items?WT.mc_id=academic-17441-jabenn&itemName=ms-azuretools.vscode-azurefunctions) for instructions on how to install dis extension for VS Code.
+
+When you deploy your Azure Functions app go cloud, e go need small cloud storage to store things like di application files and log files. When you dey run your Functions app locally, you still go need connect to cloud storage, but instead of using actual cloud storage, you fit use storage emulator wey dem dey call [Azurite](https://github.com/Azure/Azurite). Dis one dey run locally but e dey act like cloud storage.
+
+> 🎓 For Azure, di storage wey Azure Functions dey use na Azure Storage Account. Dis accounts fit store files, blobs, data for tables or data for queues. You fit share one storage account between plenty apps, like Functions app and web app.
+
+1. Azurite na Node.js app, so you go need install Node.js. You fit find di download and installation instructions for di [Node.js website](https://nodejs.org/). If you dey use Mac, you fit also install am from [Homebrew](https://formulae.brew.sh/formula/node).
+
+1. Install Azurite using dis command (`npm` na tool wey dey installed when you install Node.js):
+
+    ```sh
+    npm install -g azurite
+    ```
+
+1. Create folder wey you go call `azurite` for Azurite to use store data:
+
+    ```sh
+    mkdir azurite
+    ```
+
+1. Run Azurite, make e use dis new folder:
+
+    ```sh
+    azurite --location azurite
+    ```
+
+    Di Azurite storage emulator go launch and e go dey ready for di local Functions runtime to connect.
+
+    ```output
+    ➜  ~ azurite --location azurite  
+    Azurite Blob service is starting at http://127.0.0.1:10000
+    Azurite Blob service is successfully listening at http://127.0.0.1:10000
+    Azurite Queue service is starting at http://127.0.0.1:10001
+    Azurite Queue service is successfully listening at http://127.0.0.1:10001
+    Azurite Table service is starting at http://127.0.0.1:10002
+    Azurite Table service is successfully listening at http://127.0.0.1:10002
+    ```
+
+### Task - create Azure Functions project
+
+Di Azure Functions CLI fit dey used to create new Functions app.
+
+1. Create folder for your Functions app and enter di folder. Call am `soil-moisture-trigger`
+
+    ```sh
+    mkdir soil-moisture-trigger
+    cd soil-moisture-trigger
+    ```
+
+1. Create Python virtual environment inside dis folder:
+
+    ```sh
+    python3 -m venv .venv
+    ```
+
+1. Activate di virtual environment:
+
+    * For Windows:
+        * If you dey use Command Prompt, or Command Prompt through Windows Terminal, run:
+
+            ```cmd
+            .venv\Scripts\activate.bat
+            ```
+
+        * If you dey use PowerShell, run:
+
+            ```powershell
+            .\.venv\Scripts\Activate.ps1
+            ```
+
+    * For macOS or Linux, run:
+
+        ```cmd
+        source ./.venv/bin/activate
+        ```
+
+    > 💁 Dis commands suppose dey run from di same location wey you run di command to create di virtual environment. You no go ever need enter di `.venv` folder, you suppose always run di activate command and any commands to install packages or run code from di folder wey you dey when you create di virtual environment.
+
+1. Run dis command to create Functions app for dis folder:
+
+    ```sh
+    func init --worker-runtime python soil-moisture-trigger
+    ```
+
+    Dis go create three files inside di current folder:
+
+    * `host.json` - dis JSON document dey contain settings for your Functions app. You no go need modify di settings.
+    * `local.settings.json` - dis JSON document dey contain settings wey your app go use when e dey run locally, like connection strings for your IoT Hub. Dis settings na local only, and e no suppose dey added to source code control. When you deploy di app go cloud, dis settings no go dey deployed, instead your settings go dey loaded from application settings. Dis one go dey explained later for dis lesson.
+    * `requirements.txt` - dis na [Pip requirements file](https://pip.pypa.io/en/stable/user_guide/#requirements-files) wey dey contain di Pip packages wey di Functions app need.
+
+1. Di `local.settings.json` file get setting for di storage account wey di Functions app go use. E dey default to empty setting, so e need to dey set. To connect to di Azurite local storage emulator, set dis value to dis:
+
+    ```json
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    ```
+
+1. Install di necessary Pip packages using di requirements file:
+
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+    > 💁 Di required Pip packages suppose dey inside dis file, so dat when di Functions app dey deployed go cloud, di runtime fit make sure say e install di correct packages.
+
+1. To test say everything dey work well, you fit start di Functions runtime. Run dis command to do am:
+
+    ```sh
+    func start
+    ```
+
+    You go see di runtime start up and e go talk say e no find any job functions (triggers).
+
+    ```output
+    (.venv) ➜  soil-moisture-trigger func start
+    Found Python version 3.9.1 (python3).
+    
+    Azure Functions Core Tools
+    Core Tools Version:       3.0.3442 Commit hash: 6bfab24b2743f8421475d996402c398d2fe4a9e0  (64-bit)
+    Function Runtime Version: 3.0.15417.0
+    
+    [2021-05-05T01:24:46.795Z] No job functions found.
+    ```
+
+    > ⚠️ If you see firewall notification, allow am because di `func` application need to fit read and write for your network.
+
+    > ⚠️ If you dey use macOS, you fit see warnings for di output:
+    >
+    > ```output
+    > (.venv) ➜  soil-moisture-trigger func start
+    > Found Python version 3.9.1 (python3).
+    >
+    > Azure Functions Core Tools
+    > Core Tools Version:       3.0.3442 Commit hash: 6bfab24b2743f8421475d996402c398d2fe4a9e0  (64-bit)
+    > Function Runtime Version: 3.0.15417.0
+    >
+    > [2021-06-16T08:18:28.315Z] Cannot create directory for shared memory usage: /dev/shm/AzureFunctions
+    > [2021-06-16T08:18:28.316Z] System.IO.FileSystem: Access to the path '/dev/shm/AzureFunctions' is denied. Operation not permitted.
+    > [2021-06-16T08:18:30.361Z] No job functions found.
+    > ```
+    >
+    > You fit ignore dem as long as di Functions app start well and e list di running functions. As dem talk for [dis question for Microsoft Docs Q&A](https://docs.microsoft.com/answers/questions/396617/azure-functions-core-tools-error-osx-devshmazurefu.html?WT.mc_id=academic-17441-jabenn) e fit dey ignored.
+
+1. Stop di Functions app by pressing `ctrl+c`.
+
+1. Open di current folder for VS Code, either by opening VS Code, then opening dis folder, or by running dis:
+
+    ```sh
+    code .
+    ```
+
+VS Code go sabi your Functions project and go show one notification wey talk:
+
+    ```output
+    Detected an Azure Functions Project in folder "soil-moisture-trigger" that may have been created outside of
+    VS Code. Initialize for optimal use with VS Code?
+    ```
+
+![The notification](../../../../../translated_images/vscode-azure-functions-init-notification.bd19b49229963edb5311fb3a79445ea469424759d2917ee2f2eb6f92d65d5086.pcm.png)
+
+Choose **Yes** for dis notification.
+
+1. Make sure say Python virtual environment dey run for VS Code terminal. If e no dey run, stop am and start am again.
+
+## Create IoT Hub event trigger
+
+The Functions app na di shell for your serverless code. To fit respond to IoT hub events, you fit add IoT Hub trigger to dis app. Dis trigger go need connect to di stream of messages wey dem dey send go IoT Hub and respond to dem. To get dis stream of messages, your trigger go need connect to di IoT Hub *event hub compatible endpoint*.
+
+IoT Hub dey based on another Azure service wey dem dey call Azure Event Hubs. Event Hubs na service wey dey allow you send and receive messages, IoT Hub dey extend am to add features for IoT devices. Di way you go connect to read messages from IoT Hub na di same way wey you go use if na Event Hubs you dey use.
+
+✅ Do small research: Read di overview of Event Hubs for di [Azure Event Hubs documentation](https://docs.microsoft.com/azure/event-hubs/event-hubs-about?WT.mc_id=academic-17441-jabenn). How di basic features take compare to IoT Hub?
+
+For IoT device to connect to IoT Hub, e go need use secret key wey go make sure say na only allowed devices fit connect. Di same thing apply when you wan connect to read messages, your code go need connection string wey get secret key, plus di details of di IoT Hub.
+
+> 💁 Di default connection string wey you go get get **iothubowner** permissions, wey go give any code wey use am full permissions for di IoT Hub. Ideally, you suppose connect with di lowest level of permissions wey you need. We go talk about dis one for di next lesson.
+
+Once your trigger don connect, di code wey dey inside di function go dey called for every message wey dem send go IoT Hub, no matter di device wey send am. Di trigger go carry di message as parameter.
+
+### Task - get di Event Hub compatible endpoint connection string
+
+1. From di VS Code terminal, run dis command to get di connection string for di IoT Hub Event Hub compatible endpoint:
+
+    ```sh
+    az iot hub connection-string show --default-eventhub \
+                                      --output table \
+                                      --hub-name <hub_name>
+    ```
+
+Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+1. For VS Code, open di `local.settings.json` file. Add dis extra value inside di `Values` section:
+
+    ```json
+    "IOT_HUB_CONNECTION_STRING": "<connection string>"
+    ```
+
+Replace `<connection string>` with di value wey you get for di previous step. You go need add comma after di line above to make am valid JSON.
+
+### Task - create event trigger
+
+You don ready to create di event trigger.
+
+1. From di VS Code terminal, run dis command from inside di `soil-moisture-trigger` folder:
+
+    ```sh
+    func new --name iot-hub-trigger --template "Azure Event Hub trigger"
+    ```
+
+Dis one go create new Function wey dem dey call `iot-hub-trigger`. Di trigger go connect to di Event Hub compatible endpoint for di IoT Hub, so you fit use event hub trigger. No specific IoT Hub trigger dey.
+
+Dis one go create folder inside di `soil-moisture-trigger` folder wey dem dey call `iot-hub-trigger` wey get dis function. Di folder go get di following files inside:
+
+* `__init__.py` - dis na di Python code file wey get di trigger, using di standard Python file name convention to turn dis folder into Python module.
+
+Dis file go get di following code:
+
+    ```python
+    import logging
+
+    import azure.functions as func
+
+
+    def main(event: func.EventHubEvent):
+        logging.info('Python EventHub trigger processed an event: %s',
+                    event.get_body().decode('utf-8'))
+    ```
+
+Di main thing for di trigger na di `main` function. Na dis function dem dey call with di events from IoT Hub. Dis function get one parameter wey dem dey call `event` wey get `EventHubEvent`. Anytime message dey sent to IoT Hub, dis function go dey called carry di message as `event`, plus properties wey be di same as di annotations wey you see for di last lesson.
+
+Di main thing for dis function na to log di event.
+
+* `function.json` - dis one get configuration for di trigger. Di main configuration dey inside one section wey dem dey call `bindings`. Binding na di name for connection between Azure Functions and other Azure services. Dis function get input binding to event hub - e dey connect to event hub and dey receive data.
+
+> 💁 You fit also get output bindings so dat di output of one function go dey sent to another service. For example, you fit add output binding to database and return di IoT Hub event from di function, and e go automatically enter di database.
+
+✅ Do small research: Read about bindings for di [Azure Functions triggers and bindings concepts documentation](https://docs.microsoft.com/azure/azure-functions/functions-triggers-bindings?WT.mc_id=academic-17441-jabenn&tabs=python).
+
+Di `bindings` section get configuration for di binding. Di values wey dey important na:
+
+* `"type": "eventHubTrigger"` - dis one dey tell di function say e need listen to events from Event Hub
+* `"name": "events"` - dis na di parameter name wey dem go use for di Event Hub events. E match di parameter name for di `main` function for di Python code.
+* `"direction": "in"` - dis na input binding, di data from di event hub dey enter di function
+* `"connection": ""` - dis one dey define di name of di setting to read di connection string from. When you dey run locally, e go read dis setting from di `local.settings.json` file.
+
+> 💁 Di connection string no fit dey stored for di `function.json` file, e suppose dey read from di settings. Dis na to stop you from accidentally exposing your connection string.
+
+1. Because of [one bug for di Azure Functions template](https://github.com/Azure/azure-functions-templates/issues/1250), di `function.json` get wrong value for di `cardinality` field. Change dis field from `many` to `one`:
+
+    ```json
+    "cardinality": "one",
+    ```
+
+1. Change di value of `"connection"` for di `function.json` file to point to di new value wey you add for di `local.settings.json` file:
+
+    ```json
+    "connection": "IOT_HUB_CONNECTION_STRING",
+    ```
+
+> 💁 Remember - dis one suppose point to di setting, e no suppose contain di actual connection string.
+
+1. Di connection string get di `eventHubName` value, so di value for dis one for di `function.json` file suppose dey empty. Change dis value to empty string:
+
+    ```json
+    "eventHubName": "",
+    ```
+
+### Task - run di event trigger
+
+1. Make sure say you no dey run di IoT Hub event monitor. If e dey run di same time as di functions app, di functions app no go fit connect and consume events.
+
+> 💁 Plenty apps fit connect to di IoT Hub endpoints using different *consumer groups*. We go talk about dis one for later lesson.
+
+1. To run di Functions app, run dis command from di VS Code terminal:
+
+    ```sh
+    func start
+    ```
+
+Di Functions app go start, and e go discover di `iot-hub-trigger` function. E go then process any events wey dem don send go IoT Hub for di past day.
+
+    ```output
+    (.venv) ➜  soil-moisture-trigger func start
+    Found Python version 3.9.1 (python3).
+    
+    Azure Functions Core Tools
+    Core Tools Version:       3.0.3442 Commit hash: 6bfab24b2743f8421475d996402c398d2fe4a9e0  (64-bit)
+    Function Runtime Version: 3.0.15417.0
+    
+    Functions:
+    
+            iot-hub-trigger: eventHubTrigger
+    
+    For detailed output, run func with --verbose flag.
+    [2021-05-05T02:44:07.517Z] Worker process started and initialized.
+    [2021-05-05T02:44:09.202Z] Executing 'Functions.iot-hub-trigger' (Reason='(null)', Id=802803a5-eae9-4401-a1f4-176631456ce4)
+    [2021-05-05T02:44:09.205Z] Trigger Details: PartitionId: 0, Offset: 1011240-1011632, EnqueueTimeUtc: 2021-05-04T19:04:04.2030000Z-2021-05-04T19:04:04.3900000Z, SequenceNumber: 2546-2547, Count: 2
+    [2021-05-05T02:44:09.352Z] Python EventHub trigger processed an event: {"soil_moisture":628}
+    [2021-05-05T02:44:09.354Z] Python EventHub trigger processed an event: {"soil_moisture":624}
+    [2021-05-05T02:44:09.395Z] Executed 'Functions.iot-hub-trigger' (Succeeded, Id=802803a5-eae9-4401-a1f4-176631456ce4, Duration=245ms)
+    ```
+
+Each call to di function go dey surrounded by `Executing 'Functions.iot-hub-trigger'`/`Executed 'Functions.iot-hub-trigger'` block for di output, so you fit see how many messages dem process for each function call.
+
+1. Make sure say your IoT device dey run. You go see new soil moisture messages dey appear for di Functions app.
+
+1. Stop and restart di Functions app. You go see say e no go process old messages again, e go only process new messages.
+
+> 💁 VS Code dey support debugging your Functions. You fit set break points by clicking for di border near di start of each line of code, or put di cursor for one line of code and choose *Run -> Toggle breakpoint*, or press `F9`. You fit start di debugger by choosing *Run -> Start debugging*, press `F5`, or choose di *Run and debug* pane and choose di **Start debugging** button. By doing dis, you fit see di details of di events wey dem dey process.
+
+#### Troubleshooting
+
+* If you see dis error:
+
+    ```output
+    The listener for function 'Functions.iot-hub-trigger' was unable to start. Microsoft.WindowsAzure.Storage: Connection refused. System.Net.Http: Connection refused. System.Private.CoreLib: Connection refused.
+    ```
+
+Check say Azurite dey run and you don set di `AzureWebJobsStorage` for di `local.settings.json` file to `UseDevelopmentStorage=true`.
+
+* If you see dis error:
+
+    ```output
+    System.Private.CoreLib: Exception while executing function: Functions.iot-hub-trigger. System.Private.CoreLib: Result: Failure Exception: AttributeError: 'list' object has no attribute 'get_body'
+    ```
+
+Check say you don set di `cardinality` for di `function.json` file to `one`.
+
+* If you see dis error:
+
+    ```output
+    Azure.Messaging.EventHubs: The path to an Event Hub may be specified as part of the connection string or as a separate value, but not both.  Please verify that your connection string does not have the `EntityPath` token if you are passing an explicit Event Hub name. (Parameter 'connectionString').
+    ```
+
+Check say you don set di `eventHubName` for di `function.json` file to empty string.
+
+## Send direct method requests from serverless code
+
+So far, your Functions app dey listen to messages from IoT Hub using di Event Hub compatible endpoint. Now, you need send commands to di IoT device. Dis one dey done by using different connection to IoT Hub via di *Registry Manager*. Di Registry Manager na tool wey dey allow you see wetin devices dey registered with di IoT Hub, and communicate with dem by sending cloud to device messages, direct method requests or updating di device twin. You fit also use am to register, update or delete IoT devices from di IoT Hub.
+
+To connect to di Registry Manager, you go need connection string.
+
+### Task - get di Registry Manager connection string
+
+1. To get di connection string, run dis command:
+
+    ```sh
+    az iot hub connection-string show --policy-name service \
+                                      --output table \
+                                      --hub-name <hub_name>
+    ```
+
+Replace `<hub_name>` with di name wey you use for your IoT Hub.
+
+Di connection string dey requested for di *ServiceConnect* policy using di `--policy-name service` parameter. When you dey request connection string, you fit specify wetin permissions dat connection string go allow. Di ServiceConnect policy dey allow your code connect and send messages to IoT devices.
+
+✅ Do small research: Read about di different policies for di [IoT Hub permissions documentation](https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-security#iot-hub-permissions?WT.mc_id=academic-17441-jabenn)
+
+1. For VS Code, open di `local.settings.json` file. Add dis extra value inside di `Values` section:
+
+    ```json
+    "REGISTRY_MANAGER_CONNECTION_STRING": "<connection string>"
+    ```
+
+Replace `<connection string>` with di value wey you get for di previous step. You go need add comma after di line above to make am valid JSON.
+
+### Task - send direct method request to device
+
+1. Di SDK for di Registry Manager dey available via Pip package. Add dis line to di `requirements.txt` file to add di dependency for dis package:
+
+    ```sh
+    azure-iot-hub
+    ```
+
+1. Make sure say VS Code terminal get di virtual environment activated, and run dis command to install di Pip packages:
+
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+1. Add dis imports to di `__init__.py` file:
+
+    ```python
+    import json
+    import os
+    from azure.iot.hub import IoTHubRegistryManager
+    from azure.iot.hub.models import CloudToDeviceMethod
+    ```
+
+Dis one dey import some system libraries, plus di libraries to interact with di Registry Manager and send direct method requests.
+
+1. Remove di code wey dey inside di `main` method, but keep di method itself.
+
+1. For di `main` method, add dis code:
+
+    ```python
+    body = json.loads(event.get_body().decode('utf-8'))
+    device_id = event.iothub_metadata['connection-device-id']
+
+    logging.info(f'Received message: {body} from {device_id}')
+    ```
+
+Dis code dey extract di body of di event wey get di JSON message wey IoT device send.
+
+E then dey get di device ID from di annotations wey dem pass with di message. Di body of di event get di message wey dem send as telemetry, di `iothub_metadata` dictionary get properties wey IoT Hub set like di device ID of di sender, and di time wey dem send di message.
+
+Dis information dey logged. You go see dis logging for di terminal when you dey run di Function app locally.
+
+1. Under dis, add dis code:
+
+    ```python
+    soil_moisture = body['soil_moisture']
+
+    if soil_moisture > 450:
+        direct_method = CloudToDeviceMethod(method_name='relay_on', payload='{}')
+    else:
+        direct_method = CloudToDeviceMethod(method_name='relay_off', payload='{}')
+    ```
+
+Dis code dey get di soil moisture from di message. E then dey check di soil moisture, and depending on di value, e dey create helper class for di direct method request for di `relay_on` or `relay_off` direct method. Di method request no need payload, so empty JSON document dey sent.
+
+1. Under dis, add dis code:
+
+    ```python
+    logging.info(f'Sending direct method request for {direct_method.method_name} for device {device_id}')
+
+    registry_manager_connection_string = os.environ['REGISTRY_MANAGER_CONNECTION_STRING']
+    registry_manager = IoTHubRegistryManager(registry_manager_connection_string)
+    ```
+
+Dis code dey load di `REGISTRY_MANAGER_CONNECTION_STRING` from di `local.settings.json` file. Di values for dis file dey available as environment variables, and you fit read dem using di `os.environ` function, one function wey dey return dictionary of all di environment variables.
+
+> 💁 When dis code dey deployed to di cloud, di values for di `local.settings.json` file go dey set as *Application Settings*, and you fit read dem from environment variables.
+
+Di code then dey create instance of di Registry Manager helper class using di connection string.
+
+1. Under dis, add dis code:
+
+    ```python
+    registry_manager.invoke_device_method(device_id, direct_method)
+
+    logging.info('Direct method request sent!')
+    ```
+
+Dis code dey tell di registry manager to send di direct method request to di device wey send di telemetry.
+> 💁 For di app wey you don create for di earlier lessons wey dey use MQTT, di relay control commands dey go all di devices. Di code bin dey assume say you go only get one device. Dis version of di code dey send di method request go one device, so e go work if you get plenty setups of moisture sensors and relays, dey send di correct direct method request go di correct device.
+
+1. Run di Functions app, and make sure say your IoT device dey send data. You go see di messages wey dem dey process and di direct method requests wey dem dey send. Move di soil moisture sensor enter and comot for di soil to see how di values dey change and how di relay dey turn on and off.
+
+> 💁 You fit find dis code for di [code/functions](../../../../../2-farm/lessons/5-migrate-application-to-the-cloud/code/functions) folder.
+
+## Deploy your serverless code go di cloud
+
+Your code don dey work for your computer, so di next step na to deploy di Functions App go di cloud.
+
+### Task - create di cloud resources
+
+Your Functions app need to dey deploy go one Functions App resource for Azure, wey go dey inside di Resource Group wey you create for your IoT Hub. You go also need one Storage Account wey dem go create for Azure to replace di one wey you dey emulate for your computer.
+
+1. Run dis command to create one storage account:
+
+    ```sh
+    az storage account create --resource-group soil-moisture-sensor \
+                              --sku Standard_LRS \
+                              --name <storage_name> 
+    ```
+
+    Change `<storage_name>` to di name wey you wan give your storage account. Dis name go need to dey unique for di whole world because e go dey part of di URL wey dem go use access di storage account. You fit only use small letters and numbers for dis name, no other characters, and e no fit pass 24 characters. Use something like `sms` and add one unique identifier for di end, like random words or your name.
+
+    Di `--sku Standard_LRS` dey select di pricing tier, wey be di lowest cost general-purpose account. No free tier dey for storage, and you go pay for wetin you use. Di cost no too high, di most expensive storage na less than US$0.05 per month per gigabyte wey you store.
+
+    ✅ Check di pricing for di [Azure Storage Account pricing page](https://azure.microsoft.com/pricing/details/storage/?WT.mc_id=academic-17441-jabenn)
+
+1. Run dis command to create one Function App:
+
+    ```sh
+    az functionapp create --resource-group soil-moisture-sensor \
+                          --runtime python \
+                          --functions-version 3 \
+                          --os-type Linux \
+                          --consumption-plan-location <location> \
+                          --storage-account <storage_name> \
+                          --name <functions_app_name>
+    ```
+
+    Change `<location>` to di location wey you use when you dey create di Resource Group for di previous lesson.
+
+    Change `<storage_name>` to di name of di storage account wey you create for di previous step.
+
+    Change `<functions_app_name>` to one unique name for your Functions App. Dis name go need to dey unique for di whole world because e go dey part of di URL wey dem go use access di Functions App. Use something like `soil-moisture-sensor-` and add one unique identifier for di end, like random words or your name.
+
+    Di `--functions-version 3` dey set di version of Azure Functions wey you go use. Version 3 na di latest version.
+
+    Di `--os-type Linux` dey tell di Functions runtime to use Linux as di OS wey go host di functions. Functions fit dey host for Linux or Windows, depending on di programming language wey you dey use. Python apps na only Linux dem dey support.
+
+### Task - upload your application settings
+
+When you dey develop your Functions App, you store some settings for di `local.settings.json` file for di connection strings for your IoT Hub. Dis ones need to dey write go Application Settings for your Function App for Azure so dat your code fit use dem.
+
+> 🎓 Di `local.settings.json` file na for local development settings only, and you no suppose check am into source code control, like GitHub. When you deploy am go di cloud, na Application Settings dem dey use. Application Settings na key/value pairs wey dem dey host for di cloud and dem dey read from environment variables either for your code or by di runtime when e dey connect your code to IoT Hub.
+
+1. Run dis command to set di `IOT_HUB_CONNECTION_STRING` setting for di Functions App Application Settings:
+
+    ```sh
+    az functionapp config appsettings set --resource-group soil-moisture-sensor \
+                                          --name <functions_app_name> \
+                                          --settings "IOT_HUB_CONNECTION_STRING=<connection string>"
+    ```
+
+    Change `<functions_app_name>` to di name wey you use for your Functions App.
+
+    Change `<connection string>` to di value of `IOT_HUB_CONNECTION_STRING` from your `local.settings.json` file.
+
+1. Repeat di step wey dey up, but set di value of `REGISTRY_MANAGER_CONNECTION_STRING` to di correct value from your `local.settings.json` file.
+
+When you run dis commands, dem go also show one list of all di Application Settings for di function app. You fit use dis one check say your values dey set correct.
+
+> 💁 You go see one value wey dem don already set for `AzureWebJobsStorage`. For your `local.settings.json` file, dis one bin dey set to one value wey dey use di local storage emulator. When you create di Functions App, you dey pass di storage account as parameter, and dis one go dey set automatically for dis setting.
+
+### Task - deploy your Functions App go di cloud
+
+Now wey di Functions App don ready, your code fit dey deploy.
+
+1. Run dis command from di VS Code terminal to publish your Functions App:
+
+    ```sh
+    func azure functionapp publish <functions_app_name>
+    ```
+
+    Change `<functions_app_name>` to di name wey you use for your Functions App.
+
+Di code go dey package and dem go send am go di Functions App, where dem go deploy am and start am. Plenty console output go dey, and e go end with confirmation of di deployment and one list of di functions wey dem deploy. For dis case, di list go only get di trigger.
+
+```output
+Deployment successful.
+Remote build succeeded!
+Syncing triggers...
+Functions in soil-moisture-sensor:
+    iot-hub-trigger - [eventHubTrigger]
+```
+
+Make sure say your IoT device dey run. Change di moisture levels by adjusting di soil moisture, or move di sensor enter and comot for di soil. You go see di relay dey turn on and off as di soil moisture dey change.
+
+---
+
+## 🚀 Challenge
+
+For di previous lesson, you manage di timing for di relay by unsubscribing from MQTT messages while di relay dey on, and for small time after e don turn off. You no fit use dis method here - you no fit unsubscribe your IoT Hub trigger.
+
+Think about different ways wey you fit handle dis one for your Functions App.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/18)
+
+## Review & Self Study
+
+* Read about serverless computing for di [Serverless Computing page for Wikipedia](https://wikipedia.org/wiki/Serverless_computing)
+* Read about how to use serverless for Azure including some more examples for di [Go serverless for your IoT needs Azure blog post](https://azure.microsoft.com/blog/go-serverless-for-your-iot-needs/?WT.mc_id=academic-17441-jabenn)
+* Learn more about Azure Functions for di [Azure Functions YouTube channel](https://www.youtube.com/c/AzureFunctions)
+
+## Assignment
+
+[Add manual relay control](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/5-migrate-application-to-the-cloud/assignment.md b/translations/pcm/2-farm/lessons/5-migrate-application-to-the-cloud/assignment.md
new file mode 100644
index 000000000..02ca372f8
--- /dev/null
+++ b/translations/pcm/2-farm/lessons/5-migrate-application-to-the-cloud/assignment.md
@@ -0,0 +1,72 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c24b6e4d90501c9199f2ceb6a648a337",
+  "translation_date": "2025-11-18T19:44:14+00:00",
+  "source_file": "2-farm/lessons/5-migrate-application-to-the-cloud/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Add manual relay control
+
+## Instructions
+
+Serverless code fit trigger by many different things, like HTTP requests. You fit use HTTP triggers take add manual override to your relay control, so person fit turn the relay on or off from web request.
+
+For dis assignment, you go need add two HTTP triggers to your Functions App to turn the relay on and off, dey reuse wetin you don learn from dis lesson to send commands to the device.
+
+Some hints:
+
+* You fit add HTTP trigger to your Functions App wey dey already exist with dis command:
+
+    ```sh
+    func new --name <trigger name> --template "HTTP trigger"
+    ```
+
+    Replace `<trigger name>` with the name wey you wan give your HTTP trigger. Use something like `relay_on` and `relay_off`
+
+* HTTP triggers fit get access control. By default dem dey require function-specific API key wey go follow the URL to run. For dis assignment, you fit remove dis restriction so anybody fit run the function. To do dis, update the `authLevel` setting for the `function.json` file for the HTTP triggers to dis:
+
+    ```json
+    "authLevel": "anonymous"
+    ```
+
+    > 💁 You fit read more about dis access control for [Function access keys documentation](https://docs.microsoft.com/azure/azure-functions/functions-bindings-http-webhook-trigger?WT.mc_id=academic-17441-jabenn#authorization-keys).
+
+* HTTP triggers by default dey support GET and POST requests. Dis mean say you fit call dem using your web browser - web browsers dey make GET requests.
+
+    When you dey run your Functions App locally, you go see the URL of the trigger:
+
+    ```output
+    Functions:
+
+        relay_off: [GET,POST] http://localhost:7071/api/relay_off
+
+        relay_on: [GET,POST] http://localhost:7071/api/relay_on
+
+        iot-hub-trigger: eventHubTrigger
+    ```
+
+    Paste the URL inside your browser and press `return`, or `Ctrl+click` (`Cmd+click` for macOS) the link for the terminal window for VS Code to open am for your default browser. Dis go run the trigger.
+
+    > 💁 Notice say the URL get `/api` inside am - HTTP triggers by default dey for the `api` subdomain.
+
+* When you deploy the Functions App, the HTTP trigger URL go be:
+
+    `https://<functions app name>.azurewebsites.net/api/<trigger name>`
+
+    Where `<functions app name>` na the name of your Functions App, and `<trigger name>` na the name of your trigger.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Create HTTP triggers | Create 2 triggers to turn the relay on and off, with correct names | Create one trigger with correct name | No fit create any trigger |
+| Control the relay from the HTTP triggers | Fit connect both triggers to IoT Hub and control the relay well | Fit connect one trigger to IoT Hub and control the relay well | No fit connect the triggers to IoT Hub |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say transleshion wey machine do fit get mistake or no correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/README.md b/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/README.md
new file mode 100644
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+++ b/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/README.md
@@ -0,0 +1,248 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "81c437c568eee1b0dda1f04e88150d37",
+  "translation_date": "2025-11-18T19:44:26+00:00",
+  "source_file": "2-farm/lessons/6-keep-your-plant-secure/README.md",
+  "language_code": "pcm"
+}
+-->
+# Make sure say your plant dey safe
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-10.829c86b80b9403bb770929ee553a1d293afe50dc23121aaf9be144673ae012cc.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/19)
+
+## Introduction
+
+For di last few lessons, you don build soil monitoring IoT device wey connect to di cloud. But wetin go happen if hackers wey dey work for rival farmer fit take control of your IoT devices? Wetin if dem send fake high soil moisture readings so your plants no go get water, or dem turn on your watering system make e dey run all di time, wey go kill your plants from too much water and go cost you plenty money for water?
+
+For dis lesson, you go learn how to secure IoT devices. Since na di last lesson for dis project, you go also learn how to clean up your cloud resources, so you no go dey pay extra money.
+
+For dis lesson, we go talk about:
+
+* [Why e dey important to secure IoT devices?](../../../../../2-farm/lessons/6-keep-your-plant-secure)
+* [Cryptography](../../../../../2-farm/lessons/6-keep-your-plant-secure)
+* [How to secure your IoT devices](../../../../../2-farm/lessons/6-keep-your-plant-secure)
+* [How to generate and use X.509 certificate](../../../../../2-farm/lessons/6-keep-your-plant-secure)
+
+> 🗑 Dis na di last lesson for dis project, so after you finish dis lesson and di assignment, no forget to clean up your cloud services. You go need di services to complete di assignment, so make sure say you finish am first.
+>
+> Check [di clean up your project guide](../../../clean-up.md) if you need instructions on how to do am.
+
+## Why e dey important to secure IoT devices?
+
+IoT security na to make sure say only di devices wey you expect fit connect to your cloud IoT service and send telemetry, and only your cloud service fit send commands to your devices. IoT data fit be personal, like medical or private data, so your whole application need to think about security to stop di data from leaking.
+
+If your IoT application no secure, e get plenty risks:
+
+* Fake device fit send wrong data, wey go make your application behave anyhow. For example, dem fit send constant high soil moisture readings, wey go make your irrigation system no turn on and your plants go die because dem no get water.
+* Unauthorized people fit read data from IoT devices, including personal or business-critical data.
+* Hackers fit send commands to control di device in way wey fit spoil di device or di hardware wey dey connected.
+* If hackers connect to IoT device, dem fit use am enter other networks to access private systems.
+* Bad people fit access personal data and use am for blackmail.
+
+Dis na real-life situations, and e dey happen all di time. Some examples don dey for earlier lessons, but here be more:
+
+* For 2018, hackers use open WiFi access point for fish tank thermostat take enter casino network to steal data. [The Hacker News - Casino Gets Hacked Through Its Internet-Connected Fish Tank Thermometer](https://thehackernews.com/2018/04/iot-hacking-thermometer.html)
+* For 2016, di Mirai Botnet launch denial of service attack against Dyn, one Internet service provider, wey take down big parts of di Internet. Dis botnet use malware connect to IoT devices like DVRs and cameras wey dey use default usernames and passwords, and from there launch di attack. [The Guardian - DDoS attack that disrupted internet was largest of its kind in history, experts say](https://www.theguardian.com/technology/2016/oct/26/ddos-attack-dyn-mirai-botnet)
+* Spiral Toys get database of users of their CloudPets connected toys wey dey public for Internet. [Troy Hunt - Data from connected CloudPets teddy bears leaked and ransomed, exposing kids' voice messages](https://www.troyhunt.com/data-from-connected-cloudpets-teddy-bears-leaked-and-ransomed-exposing-kids-voice-messages/).
+* Strava dey tag runners wey you pass and show their routes, wey dey allow strangers see where you dey live. [Kim Komndo - Fitness app could lead a stranger right to your home — change this setting](https://www.komando.com/security-privacy/strava-fitness-app-privacy/755349/).
+
+✅ Do some research: Search for more examples of IoT Hacks and breaches of IoT data, especially with personal items like Internet-connected toothbrushes or scales. Think about di impact wey dis hacks fit get on di victims or customers.
+
+> 💁 Security na big topic, and dis lesson go only touch di basics about connecting your device to di cloud. Other topics wey we no go cover include monitoring for data changes in transit, hacking devices directly, or changes to device configurations. IoT hacking na big threat, tools like [Azure Defender for IoT](https://azure.microsoft.com/services/azure-defender-for-iot/?WT.mc_id=academic-17441-jabenn) don dey developed. Dis tools dey similar to di anti-virus and security tools wey you fit get for your computer, but dem dey designed for small, low-powered IoT devices.
+
+## Cryptography
+
+When device dey connect to IoT service, e dey use ID to identify itself. Di problem be say dis ID fit dey cloned - hacker fit set up bad device wey dey use di same ID as real device but dey send fake data.
+
+![Both valid and malicious devices could use the same ID to send telemetry](../../../../../translated_images/iot-device-and-hacked-device-connecting.e0671675df74d6d99eb1dedb5a670e606f698efa6202b1ad4c8ae548db299cc6.pcm.png)
+
+Di way to solve dis na to change di data wey dem dey send into scrambled format, using one kind value wey only di device and di cloud sabi. Dis process na *encryption*, and di value wey dem dey use to encrypt di data na *encryption key*.
+
+![If encryption is used, then only encrypted messages will be accepted, others will be rejected](../../../../../translated_images/iot-device-and-hacked-device-connecting-encryption.5941aff601fc978f979e46f2849b573564eeb4a4dc5b52f669f62745397492fb.pcm.png)
+
+Di cloud service go then change di data back to readable format, using process wey dem dey call *decryption*, using di same encryption key or *decryption key*. If di encrypted message no fit decrypt with di key, di device don dey hacked and di message go reject.
+
+Di technique wey dem dey use for encryption and decryption na *cryptography*.
+
+### Early cryptography
+
+Di earliest types of cryptography na substitution ciphers, wey don dey since 3,500 years ago. Substitution ciphers na to replace one letter with another. For example, di [Caesar cipher](https://wikipedia.org/wiki/Caesar_cipher) dey shift di alphabet by defined amount, wey only di sender of di encrypted message and di person wey go receive am sabi how many letters dem shift.
+
+Di [Vigenère cipher](https://wikipedia.org/wiki/Vigenère_cipher) carry am go further by using words to encrypt text, so say each letter for di original text go shift by different amount, instead of always shifting by di same number of letters.
+
+Cryptography don dey used for plenty things, like protecting potters glaze recipe for ancient Mesopotamia, writing secret love notes for India, or keeping ancient Egyptian magical spells secret.
+
+### Modern cryptography
+
+Modern cryptography don advance well, e dey harder to crack than di old methods. Modern cryptography dey use complicated mathematics to encrypt data wey get too many possible keys wey go make brute force attacks no possible.
+
+Cryptography dey used for plenty ways for secure communications. If you dey read dis page for GitHub, you fit notice say di web site address dey start with *HTTPS*, wey mean say di communication between your browser and di web servers of GitHub don dey encrypted. If person fit read di internet traffic wey dey flow between your browser and GitHub, dem no go fit read di data because e don dey encrypted. Your computer fit even encrypt all di data for your hard drive so if person thief am, dem no go fit read any of your data without your password.
+
+> 🎓 HTTPS mean HyperText Transfer Protocol **Secure**
+
+But no be everything dey secure. Some devices no get security, others dey secured with easy-to-crack keys, or sometimes all di devices of di same type dey use di same key. E get stories of very personal IoT devices wey all get di same password to connect to dem over WiFi or Bluetooth. If you fit connect to your own device, you fit connect to another person own. Once you connect, you fit access some very private data, or control di person device.
+
+> 💁 Even though modern cryptography dey complex and dem dey talk say breaking encryption fit take billions of years, di rise of quantum computing don make am possible to break all known encryption for very short time!
+
+### Symmetric and asymmetric keys
+
+Encryption get two types - symmetric and asymmetric.
+
+**Symmetric** encryption dey use di same key to encrypt and decrypt di data. Both di sender and receiver need to sabi di same key. Dis na di least secure type, because di key need to dey shared somehow. For sender to send encrypted message to recipient, di sender first fit need to send di recipient di key.
+
+![Symmetric key encryption uses the same key to encrypt and decrypt a message](../../../../../translated_images/send-message-symmetric-key.a2e8ad0d495896ffcdf15d25bb4491c695a5cb851457b359fb0f0c89d67707c9.pcm.png)
+
+If di key dey stolen for transit, or di sender or recipient dey hacked and di key dey found, di encryption fit dey cracked.
+
+![Symmetric key encryption is only secure if a hacker doesn't get the key - if so they can intercept and decrypt the message](../../../../../translated_images/send-message-symmetric-key-hacker.e7cb53db1707adfb1486a8144060cb76435fe8dbdede8cecc09e7d15b2d9a251.pcm.png)
+
+**Asymmetric** encryption dey use 2 keys - one encryption key and one decryption key, wey dem dey call public/private key pair. Di public key dey used to encrypt di message, but e no fit dey used to decrypt am, di private key dey used to decrypt di message but e no fit dey used to encrypt am.
+
+![Asymmetric encryption uses a different key to encrypt and decrypt. The encryption key is sent to any message senders so they can encrypt a message before sending it to the recipient who owns the keys](../../../../../translated_images/send-message-asymmetric.7abe327c62615b8c19805252af5d4b6c5e7aaeb8fbc455efeff866fe2d300b62.pcm.png)
+
+Di recipient go share their public key, and di sender go use am to encrypt di message. Once di message don send, di recipient go decrypt am with their private key. Asymmetric encryption dey more secure because di private key dey kept private by di recipient and e no dey shared. Anybody fit get di public key because e only fit dey used to encrypt messages.
+
+Symmetric encryption dey faster than asymmetric encryption, asymmetric dey more secure. Some systems go use both - using asymmetric encryption to encrypt and share di symmetric key, then using di symmetric key to encrypt all data. Dis go make am more secure to share di symmetric key between sender and recipient, and faster when encrypting and decrypting data.
+
+## How to secure your IoT devices
+
+IoT devices fit dey secured using symmetric or asymmetric encryption. Symmetric dey easier, but e no dey too secure.
+
+### Symmetric keys
+
+When you set up your IoT device to interact with IoT Hub, you use connection string. Example connection string na:
+
+```output
+HostName=soil-moisture-sensor.azure-devices.net;DeviceId=soil-moisture-sensor;SharedAccessKey=Bhry+ind7kKEIDxubK61RiEHHRTrPl7HUow8cEm/mU0=
+```
+
+Dis connection string get three parts wey dey separated by semi-colons, with each part na key and value:
+
+| Key | Value | Description |
+| --- | ----- | ----------- |
+| HostName | `soil-moisture-sensor.azure-devices.net` | Di URL of di IoT Hub |
+| DeviceId | `soil-moisture-sensor` | Di unique ID of di device |
+| SharedAccessKey | `Bhry+ind7kKEIDxubK61RiEHHRTrPl7HUow8cEm/mU0=` | Symmetric key wey di device and di IoT Hub sabi |
+
+Di last part of dis connection string, di `SharedAccessKey`, na di symmetric key wey di device and di IoT Hub sabi. Dis key no dey sent from di device to di cloud, or di cloud to di device. Instead, e dey used to encrypt data wey dem dey send or receive.
+
+✅ Do experiment. Wetin you think go happen if you change di `SharedAccessKey` part of di connection string when you dey connect your IoT device? Try am.
+
+When di device first try connect, e dey send shared access signature (SAS) token wey get di URL of di IoT Hub, timestamp wey di access signature go expire (usually 1 day from di current time), and signature. Dis signature get di URL and di expiry time wey don encrypt with di shared access key from di connection string.
+
+Di IoT Hub go decrypt dis signature with di shared access key, and if di decrypted value match di URL and expiry, di device go fit connect. E go also check say di current time dey before di expiry, to stop bad device wey fit capture di SAS token of real device and use am.
+
+Dis na smart way to confirm say di sender na correct device. By sending some known data for both decrypted and encrypted form, di server fit confirm di device by making sure say when e decrypt di encrypted data, di result go match di decrypted version wey dem send. If e match, then di sender and recipient get di same symmetric encryption key.
+> 💁 Because di expiry time dey, your IoT device gatz sabi di correct time, wey e go usually read from one [NTP](https://wikipedia.org/wiki/Network_Time_Protocol) server. If di time no correct, di connection no go work.
+
+Afta di connection, all di data wey di IoT Hub send go di device, or di one wey di device send go di IoT Hub, dem go encrypt am wit di shared access key.
+
+✅ Wetin you tink go happen if plenty devices dey use di same connection string?
+
+> 💁 E no good at all to store dis key for inside code. If hacker fit see your source code, dem fit collect your key. E go still hard when you wan release code because you go need recompile am wit updated key for every device. E beta make you load dis key from hardware security module - na chip wey dey di IoT device wey dey store encrypted values wey your code fit read.
+
+> When you dey learn IoT, e dey easy to put di key for inside code, like as you do for di earlier lesson, but you gatz make sure say dis key no dey public source code control.
+
+Devices get 2 keys, and 2 connection strings wey match dem. Dis one go allow you fit rotate di keys - dat na to switch from one key go anoda if di first one don spoil, and you fit re-generate di first key.
+
+### X.509 certificates
+
+If you dey use asymmetric encryption wit public/private key pair, you gatz give your public key to anybody wey wan send you data. Di wahala be say, how di person wey collect your key go sabi say na your real public key, no be another person wey dey pretend to be you? Instead of to give key, you fit give your public key inside certificate wey trusted third party don verify, dem dey call am X.509 certificate.
+
+X.509 certificates na digital document wey get di public key part of di public/private key pair. Dem dey usually issue am by trusted organizations wey dem dey call [Certification authorities](https://wikipedia.org/wiki/Certificate_authority) (CAs), and di CA go sign am digitally to show say di key dey valid and e come from you. You go trust di certificate and di public key because you trust di CA, just like how you go trust passport or driver license because you trust di country wey issue am. Certificates dey cost money, so you fit 'self-sign', dat na to create certificate by yourself wey you go sign for testing.
+
+> 💁 No ever use self-signed certificate for production release.
+
+Dis certificates get plenty fields inside dem, like who di public key dey from, di CA wey issue am, how long e go valid, and di public key itself. Before you use certificate, e good make you verify am by checking say di original CA sign am.
+
+✅ You fit read full list of di fields wey dey di certificate for [Microsoft Understanding X.509 Public Key Certificates tutorial](https://docs.microsoft.com/azure/iot-hub/tutorial-x509-certificates?WT.mc_id=academic-17441-jabenn#certificate-fields)
+
+If you dey use X.509 certificates, both di sender and di receiver go get dia own public and private keys, and dem go still get X.509 certificates wey get di public key. Dem go exchange X.509 certificates somehow, use each other public keys to encrypt di data wey dem dey send, and use dia own private key to decrypt di data wey dem receive.
+
+![Instead of sharing a public key, you can share a certificate. The user of the certificate can verify that it comes from you by checking with the certificate authority who signed it.](../../../../../translated_images/send-message-certificate.9cc576ac1e46b76eb58ebc8eedaa522566fa0700076da46f5180aad78c2435db.pcm.png)
+
+One big advantage of using X.509 certificates be say you fit share dem between devices. You fit create one certificate, upload am to IoT Hub, and use am for all your devices. Each device go just need di private key to decrypt di messages wey e receive from IoT Hub.
+
+Di certificate wey your device dey use to encrypt messages wey e dey send go IoT Hub na Microsoft publish am. Na di same certificate wey plenty Azure services dey use, and sometimes e dey already dey inside di SDKs.
+
+> 💁 Remember, public key na public. Di Azure public key fit only dey used to encrypt data wey dem dey send go Azure, no be to decrypt am, so e fit dey shared anywhere, even for source code. For example, you fit see am for [Azure IoT C SDK source code](https://github.com/Azure/azure-iot-sdk-c/blob/master/certs/certs.c).
+
+✅ Plenty grammar dey for X.509 certificates. You fit read di meaning of some of di terms wey you fit see for [The layman’s guide to X.509 certificate jargon](https://techcommunity.microsoft.com/t5/internet-of-things/the-layman-s-guide-to-x-509-certificate-jargon/ba-p/2203540?WT.mc_id=academic-17441-jabenn)
+
+## Generate and use an X.509 certificate
+
+Di steps to generate X.509 certificate be:
+
+1. Create public/private key pair. One of di most common algorithm wey dem dey use to generate public/private key pair na [Rivest–Shamir–Adleman](https://wikipedia.org/wiki/RSA_(cryptosystem))(RSA).
+
+1. Submit di public key wit di data wey follow am for signing, either by CA, or by self-signing.
+
+Azure CLI get commands to create new device identity for IoT Hub, and e go automatically generate di public/private key pair and create self-signed certificate.
+
+> 💁 If you wan see di steps in detail, instead of using Azure CLI, you fit find am for [Using OpenSSL to create self-signed certificates tutorial in di Microsoft IoT Hub documentation](https://docs.microsoft.com/azure/iot-hub/tutorial-x509-self-sign?WT.mc_id=academic-17441-jabenn)
+
+### Task - create device identity using X.509 certificate
+
+1. Run dis command to register di new device identity, e go automatically generate di keys and certificates:
+
+    ```sh
+    az iot hub device-identity create --device-id soil-moisture-sensor-x509 \
+                                      --am x509_thumbprint \
+                                      --output-dir . \
+                                      --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` wit di name wey you use for your IoT Hub.
+
+    Dis one go create device wey get ID of `soil-moisture-sensor-x509` to make am different from di device identity wey you create for di last lesson. Dis command go still create 2 files for di current directory:
+
+    * `soil-moisture-sensor-x509-key.pem` - dis file get di private key for di device.
+    * `soil-moisture-sensor-x509-cert.pem` - dis na di X.509 certificate file for di device.
+
+    Keep dis files safe! Di private key file no suppose dey public source code control.
+
+### Task - use di X.509 certificate for your device code
+
+Follow di correct guide to connect your IoT device to di cloud using di X.509 certificate:
+
+* [Arduino - Wio Terminal](wio-terminal-x509.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-x509.md)
+
+---
+
+## 🚀 Challenge
+
+Plenty ways dey to create, manage and delete Azure services like Resource Groups and IoT Hubs. One way na di [Azure Portal](https://portal.azure.com?WT.mc_id=academic-17441-jabenn) - na web-based interface wey dey give you GUI to manage your Azure services.
+
+Go [portal.azure.com](https://portal.azure.com?WT.mc_id=academic-17441-jabenn) and check di portal. Try create IoT Hub using di portal, then delete am.
+
+**Hint** - when you dey create services through di portal, you no need create Resource Group first, you fit create am when you dey create di service. Make sure say you delete am when you don finish!
+
+You fit find plenty documentation, tutorials and guides for di Azure Portal for [Azure portal documentation](https://docs.microsoft.com/azure/azure-portal/?WT.mc_id=academic-17441-jabenn).
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/20)
+
+## Review & Self Study
+
+* Read about di history of cryptography for [History of cryptography page on Wikipedia](https://wikipedia.org/wiki/History_of_cryptography).
+* Read about X.509 certificates for [X.509 page on Wikipedia](https://wikipedia.org/wiki/X.509).
+
+## Assignment
+
+[Build a new IoT device](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say automatic translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/assignment.md b/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "34010c663d96d5f419eda6ac2366a78d",
+  "translation_date": "2025-11-18T19:46:17+00:00",
+  "source_file": "2-farm/lessons/6-keep-your-plant-secure/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Build new IoT device
+
+## Instructions
+
+For di last 6 lessons, you don learn about digital agriculture and how to use IoT devices to gather data wey go help predict how plant go grow, and how to automate watering based on soil moisture readings.
+
+Use wetin you don learn to build new IoT device wey go use sensor and actuator of your choice. Send telemetry go IoT Hub, and use am to control actuator through serverless code. You fit use sensor and actuator wey you don already use for dis or di previous project, or if you get other hardware, try something new.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Code IoT device to use sensor and actuator | Code IoT device wey dey work with sensor and actuator | Code IoT device wey dey work with sensor or actuator | No fit code IoT device to use sensor or actuator |
+| Connect IoT device to IoT Hub | Fit deploy IoT Hub, send telemetry go am, and receive commands from am | Fit deploy IoT Hub and either send telemetry or receive commands | No fit deploy IoT Hub or communicate with am from IoT device |
+| Control actuator using serverless code | Fit deploy Azure Function to control di device wey telemetry events trigger | Fit deploy Azure Function wey telemetry events trigger but no fit control di actuator | No fit deploy Azure Function |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg make you sabi say AI transle-shon fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/single-board-computer-x509.md b/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/single-board-computer-x509.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9aea84bcc7520222b0e1c50469d62d6a",
+  "translation_date": "2025-11-18T19:45:55+00:00",
+  "source_file": "2-farm/lessons/6-keep-your-plant-secure/single-board-computer-x509.md",
+  "language_code": "pcm"
+}
+-->
+# Use di X.509 certificate for your device code - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go connect your virtual IoT device or Raspberry Pi to your IoT Hub wit di X.509 certificate.
+
+## Connect your device to IoT Hub
+
+Di next step na to connect your device to IoT Hub wit di X.509 certificates.
+
+### Task - connect to IoT Hub
+
+1. Copy di key and certificate files go di folder wey get your IoT device code. If you dey use Raspberry Pi through VS Code Remote SSH and you create di keys for your PC or Mac, you fit drag and drop di files enter di explorer for VS Code to copy dem.
+
+1. Open di `app.py` file
+
+1. To connect wit X.509 certificate, you go need di host name of di IoT Hub, and di X.509 certificate. Start by creating one variable wey go hold di host name by adding dis code before you create di device client:
+
+    ```python
+    host_name = "<host_name>"
+    ```
+
+    Replace `<host_name>` wit di host name of your IoT Hub. You fit find am for di `HostName` section inside di `connection_string`. E go be di name of your IoT Hub, wey go end wit `.azure-devices.net`
+
+1. Under dis one, declare one variable wey go hold di device ID:
+
+    ```python
+    device_id = "soil-moisture-sensor-x509"
+    ```
+
+1. You go need one instance of di `X509` class wey go hold di X.509 files. Add `X509` to di list of classes wey you dey import from di `azure.iot.device` module:
+
+    ```python
+    from azure.iot.device import IoTHubDeviceClient, Message, MethodResponse, X509
+    ```
+
+1. Create one `X509` class instance wey go use your certificate and key files by adding dis code under di `host_name` declaration:
+
+    ```python
+    x509 = X509("./soil-moisture-sensor-x509-cert.pem", "./soil-moisture-sensor-x509-key.pem")
+    ```
+
+    Dis one go create di `X509` class using di `soil-moisture-sensor-x509-cert.pem` and `soil-moisture-sensor-x509-key.pem` files wey you don create before.
+
+1. Replace di line of code wey dey create di `device_client` from connection string, wit dis one:
+
+    ```python
+    device_client = IoTHubDeviceClient.create_from_x509_certificate(x509, host_name, device_id)
+    ```
+
+    Dis one go connect using di X.509 certificate instead of connection string.
+    
+1. Delete di line wey get `connection_string` variable.
+
+1. Run your code. Dey monitor di messages wey di device dey send go IoT Hub, and dey send direct method requests like before. You go see say di device don connect and e dey send soil moisture readings, plus e dey receive direct method requests.
+
+> 💁 You fit find dis code for di [code/pi](../../../../../2-farm/lessons/6-keep-your-plant-secure/code/pi) or [code/virtual-device](../../../../../2-farm/lessons/6-keep-your-plant-secure/code/virtual-device) folder.
+
+😀 Your soil moisture sensor program don connect to your IoT Hub wit X.509 certificate!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey correct well. Di original dokyument for di language wey dem take write am first na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/wio-terminal-x509.md b/translations/pcm/2-farm/lessons/6-keep-your-plant-secure/wio-terminal-x509.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "8a74f789f3c1bf41a13c007190360c19",
+  "translation_date": "2025-11-18T19:45:38+00:00",
+  "source_file": "2-farm/lessons/6-keep-your-plant-secure/wio-terminal-x509.md",
+  "language_code": "pcm"
+}
+-->
+# Use X.509 certificate for your device code - Wio Terminal
+
+As at di time wey dem write dis one, Azure Arduino SDK no dey support X.509 certificates. If you wan try use X.509 certificates, you fit check di [Virtual IoT device instructions wey dey use Python SDK](single-board-computer-x509.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e good make you use professional human translator. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/3-transport/README.md b/translations/pcm/3-transport/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e978534a245b000725ed2a048f943213",
+  "translation_date": "2025-11-18T19:01:43+00:00",
+  "source_file": "3-transport/README.md",
+  "language_code": "pcm"
+}
+-->
+# Transport from farm go factory - how IoT fit track food wey dem dey deliver
+
+Plenty farmers dey grow food to sell - e fit be say dem be commercial farmers wey dey sell all di food wey dem grow, or dem be subsistence farmers wey dey sell di extra food wey dem get to take buy wetin dem need. Somehow, di food gatz move from di farm go meet di people wey go chop am, and dis one dey usually depend on bulk transport from di farms, go hubs or processing plants, then go stores. For example, tomato farmer go harvest di tomatoes, pack dem inside boxes, load di boxes for truck, then deliver am go processing plant. Di tomatoes go then dey sorted, and from there dem go deliver am to di people wey go chop am as processed food, retail sales, or for restaurants.
+
+IoT fit help for dis supply chain by tracking di food wey dey transit - e go make sure say di drivers dey go where dem suppose go, e go dey monitor di location of di vehicles, and e go dey give alerts when di vehicles don reach so dat dem fit offload di food, and make am ready for processing quick quick.
+
+> 🎓 *Supply chain* na di steps wey dem dey follow to make and deliver something. For example, for tomato farming, e go cover seed, soil, fertilizer and water supply, growing di tomatoes, delivering di tomatoes go central hub, transporting dem go supermarket local hub, transporting dem go di individual supermarket, arranging dem for display, then selling am to di consumer wey go carry am go house to chop. Each step be like di links for chain.
+
+> 🎓 Di transportation part of di supply chain na wetin dem dey call *logistics*.
+
+For dis 4 lessons, you go learn how Internet of Things fit help improve di supply chain by monitoring di food as dem dey load am for (virtual) truck, wey dem go track as e dey move go di destination. You go learn about GPS tracking, how to store and visualize GPS data, and how to get alert when di truck don reach di destination.
+
+> 💁 Dis lessons go use some cloud resources. If you no complete all di lessons for dis project, make sure say you [Clean up your project](../clean-up.md).
+
+## Topics
+
+1. [Location tracking](lessons/1-location-tracking/README.md)
+1. [Store location data](lessons/2-store-location-data/README.md)
+1. [Visualize location data](lessons/3-visualize-location-data/README.md)
+1. [Geofences](lessons/4-geofences/README.md)
+
+## Credits
+
+All di lessons na work wey [Jen Looper](https://github.com/jlooper) and [Jim Bennett](https://GitHub.com/JimBobBennett) write with ♥️.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/README.md b/translations/pcm/3-transport/lessons/1-location-tracking/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "52ed2bd997d08040f79a1a6ef2bac958",
+  "translation_date": "2025-11-18T19:04:26+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/README.md",
+  "language_code": "pcm"
+}
+-->
+# Location tracking
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-11.9fddbac4b664c6d50ab7ac9bb32f1fc3f945f03760e72f7f43938073762fb017.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/21)
+
+## Introduction
+
+Di main process wey dey carry food from farmer go consumer na to load di boxes of produce for trucks, ships, airplanes, or other transport vehicles, den deliver di food go somewhere - either directly to di customer, or to central hub or warehouse for processing. Di whole process from farm to consumer na wetin dem dey call *supply chain*. Di video wey dey below from Arizona State University's W. P. Carey School of Business go explain di idea of supply chain and how dem dey manage am well well.
+
+[![What is Supply Chain Management? A video from Arizona State University's W. P. Carey School of Business](https://img.youtube.com/vi/Mi1QBxVjZAw/0.jpg)](https://www.youtube.com/watch?v=Mi1QBxVjZAw)
+
+> 🎥 Click di image above to watch di video
+
+If you add IoT devices, e fit help your supply chain well well, make you sabi where items dey, plan transport and goods handling better, and quick quick solve problems.
+
+If you dey manage fleet of vehicles like trucks, e go good make you sabi where each vehicle dey at any time. Vehicles fit get GPS sensors wey dey send their location go IoT systems, so di owners fit know where di vehicle dey, di route wey e don pass, and when e go reach di destination. Most vehicles dey operate outside WiFi coverage, so dem dey use cellular networks to send dis kind data. Sometimes di GPS sensor dey inside more complex IoT devices like electronic log books. Dis devices dey track how long di truck don dey transit to make sure say di drivers dey follow di local laws for working hours.
+
+For dis lesson, you go learn how to track vehicle location using Global Positioning System (GPS) sensor.
+
+For dis lesson we go talk about:
+
+* [Connected vehicles](../../../../../3-transport/lessons/1-location-tracking)
+* [Geospatial coordinates](../../../../../3-transport/lessons/1-location-tracking)
+* [Global Positioning Systems (GPS)](../../../../../3-transport/lessons/1-location-tracking)
+* [Read GPS sensor data](../../../../../3-transport/lessons/1-location-tracking)
+* [NMEA GPS data](../../../../../3-transport/lessons/1-location-tracking)
+* [Decode GPS sensor data](../../../../../3-transport/lessons/1-location-tracking)
+
+## Connected vehicles
+
+IoT dey change di way wey goods dey transport by creating fleets of *connected vehicles*. Dis vehicles dey connect to central IT systems wey dey report information about their location and other sensor data. If you get fleet of connected vehicles, e get plenty benefits:
+
+* Location tracking - you fit know where vehicle dey at any time, so you fit:
+
+  * Get alerts when vehicle wan reach destination so crew go prepare to unload
+  * Locate stolen vehicles
+  * Combine location and route data with traffic problems to re-route vehicles for middle journey
+  * Follow tax law. Some countries dey charge vehicles for di mileage wey dem drive for public roads (like [New Zealand's RUC](https://www.nzta.govt.nz/vehicles/licensing-rego/road-user-charges/)), so if you sabi when vehicle dey public roads vs private roads, e go easy to calculate tax wey dem go pay.
+  * Know where to send maintenance crew if vehicle break down
+
+* Driver telemetry - make sure say drivers dey follow speed limits, corner well, brake early and drive safe. Connected vehicles fit get cameras wey dey record incidents. Dis fit link to insurance, give reduced rates for good drivers.
+
+* Driver hours compliance - make sure say drivers dey drive only di hours wey law allow based on di time dem turn engine on and off.
+
+You fit combine dis benefits - for example, combine driver hours compliance with location tracking to re-route drivers if dem no fit reach destination within di allowed driving hours. You fit also combine am with other vehicle-specific telemetry, like temperature data from temperature-controlled trucks, to re-route vehicles if di current route go make goods no dey at di right temperature.
+
+> 🎓 Logistics na di process of transporting goods from one place go another, like from farm go supermarket through one or more warehouses. Farmer go pack boxes of tomatoes, load am for truck, deliver am go central warehouse, and put am for second truck wey fit carry mixture of different types of produce wey dem go deliver go supermarket.
+
+Di main thing for vehicle tracking na GPS - sensors wey fit know their location anywhere for Earth. For dis lesson, you go learn how to use GPS sensor, starting with how to define location for Earth.
+
+## Geospatial coordinates
+
+Geospatial coordinates dey used to define points for Earth's surface, like how coordinates dey used to draw pixel for computer screen or position stitches for cross stitch. For one point, you go get pair of coordinates. For example, Microsoft Campus for Redmond, Washington, USA dey for 47.6423109, -122.1390293.
+
+### Latitude and longitude
+
+Di Earth na sphere - three-dimensional circle. Because of dis, points dey defined by dividing am into 360 degrees, di same way wey circle geometry dey. Latitude dey measure di number of degrees north to south, longitude dey measure di number of degrees east to west.
+
+> 💁 Nobody sabi di original reason why circles dey divided into 360 degrees. Di [degree (angle) page for Wikipedia](https://wikipedia.org/wiki/Degree_(angle)) dey explain some possible reasons.
+
+![Lines of latitude from 90° at the North Pole, 45° halfway between the North Pole and the equator, 0° at the equator, -45° halfway between the equator and the South Pole, and -90° at the South Pole](../../../../../translated_images/latitude-lines.11d8d91dfb2014a57437272d7db7fd6607243098e8685f06e0c5f1ec984cb7eb.pcm.png)
+
+Latitude dey measured using lines wey dey circle di Earth and run parallel to di equator, dividing di Northern and Southern Hemispheres into 90° each. Di equator dey 0°, di North Pole dey 90°, also known as 90° North, and di South Pole dey -90°, or 90° South.
+
+Longitude dey measured as di number of degrees wey dem measure east and west. Di 0° origin of longitude na di *Prime Meridian*, wey dem define for 1884 as line wey dey go from North to South Pole wey pass through di [British Royal Observatory for Greenwich, England](https://wikipedia.org/wiki/Royal_Observatory,_Greenwich).
+
+![Lines of longitude that go from -180° to the west of the Prime Meridian, to 0° on the Prime Meridian, to 180° east of the Prime Meridian](../../../../../translated_images/longitude-meridians.ab4ef1c91c064586b0185a3c8d39e585903696c6a7d28c098a93a629cddb5d20.pcm.png)
+
+> 🎓 Meridian na imaginary straight line wey dey go from North Pole to South Pole, form semicircle.
+
+To measure di longitude of one point, you go measure di number of degrees round di equator from di Prime Meridian go one meridian wey pass through di point. Longitude dey go from -180°, or 180° West, through 0° for di Prime Meridian, go 180°, or 180° East. 180° and -180° dey refer to di same point, di antimeridian or 180th meridian. Dis na meridian wey dey opposite side of di Earth from di Prime Meridian.
+
+> 💁 Di antimeridian no be di same as di International Date Line, wey dey almost di same position, but no be straight line and e dey change to fit geo-political boundaries.
+
+✅ Do some research: Try find di latitude and longitude of where you dey now.
+
+### Degrees, minutes and seconds vs decimal degrees
+
+Traditionally, dem dey measure degrees of latitude and longitude using sexagesimal numbering, or base-60, numbering system wey Ancient Babylonians use wey first measure and record time and distance. You dey use sexagesimal everyday without even knowing - dividing hours into 60 minutes and minutes into 60 seconds.
+
+Longitude and latitude dey measured in degrees, minutes and seconds, with one minute being 1/60 of a degree, and 1 second being 1/60 minute.
+
+For example, for di equator:
+
+* 1° of latitude na **111.3 kilometers**
+* 1 minute of latitude na 111.3/60 = **1.855 kilometers**
+* 1 second of latitude na 1.855/60 = **0.031 kilometers**
+
+Di symbol for minute na single quote, for second na double quote. 2 degrees, 17 minutes, and 43 seconds for example, go be 2°17'43". Parts of seconds dey given as decimals, for example half second na 0°0'0.5".
+
+Computers no dey work for base-60, so dis coordinates dey given as decimal degrees when using GPS data for most computer systems. For example, 2°17'43" na 2.295277. Di degree symbol dey usually omitted.
+
+Coordinates for one point dey always given as `latitude, longitude`, so di example wey we talk before of Microsoft Campus for 47.6423109,-122.117198 get:
+
+* Latitude of 47.6423109 (47.6423109 degrees north of di equator)
+* Longitude of -122.1390293 (122.1390293 degrees west of di Prime Meridian).
+
+![The Microsoft Campus at 47.6423109,-122.117198](../../../../../translated_images/microsoft-gps-location-world.a321d481b010f6adfcca139b2ba0adc53b79f58a540495b8e2ce7f779ea64bfe.pcm.png)
+
+## Global Positioning Systems (GPS)
+
+GPS systems dey use plenty satellites wey dey orbit di Earth to locate your position. You don probably use GPS systems without even knowing - to find your location for mapping app for your phone like Apple Maps or Google Maps, or to see where your ride dey for ride hailing app like Uber or Lyft, or when you dey use satellite navigation (sat-nav) for your car.
+
+> 🎓 Di satellites for 'satellite navigation' na GPS satellites!
+
+GPS systems dey work by having plenty satellites wey dey send signal with each satellite current position, and accurate timestamp. Dis signals dey sent over radio waves and di antenna for GPS sensor dey detect am. GPS sensor go detect di signals, and using di current time measure how long e take for di signal to reach di sensor from di satellite. Because di speed of radio waves dey constant, di GPS sensor fit use di timestamp wey dem send to calculate how far di sensor dey from di satellite. By combining di data from at least 3 satellites with di positions wey dem send, di GPS sensor fit pinpoint di location for Earth.
+
+> 💁 GPS sensors dey need antennas to detect radio waves. Di antennas wey dem build into trucks and cars wey get on-board GPS dey positioned to get better signal, usually for windshield or roof. If you dey use separate GPS system, like smartphone or IoT device, you need make sure say di antenna wey dem build into di GPS system or phone get clear view of di sky, like mounting am for windshield.
+
+![By knowing the distance from the sensor to multiple satellites, the location be calculated](../../../../../translated_images/gps-satellites.04acf1148fe25fbf1586bc2e8ba698e8d79b79a50c36824b38417dd13372b90f.pcm.png)
+
+GPS satellites dey circle di Earth, no dey fixed point above di sensor, so location data dey include altitude above sea level as well as latitude and longitude.
+
+Before, GPS get limitation for accuracy wey US military enforce, wey limit accuracy to around 5 meters. Dem remove dis limitation for 2000, so accuracy fit reach 30 centimeters. But to get dis accuracy no dey always possible because interference fit dey affect di signals.
+
+✅ If you get smart phone, open di mapping app and check how accurate your location dey. E fit take small time for your phone to detect plenty satellites to get more accurate location.
+
+> 💁 Di satellites get atomic clocks wey dey very accurate, but dem dey drift by 38 microseconds (0.0000038 seconds) per day compared to atomic clocks for Earth, because time dey slow down as speed dey increase as Einstein predict for special and general relativity - di satellites dey travel faster than di Earth's rotation. Dis drift don prove di predictions of special and general relativity, and dem dey adjust am for di design of GPS systems. Time dey literally run slower for GPS satellite.
+
+Plenty countries and political unions like US, Russia, Japan, India, EU, and China don develop and deploy GPS systems. Modern GPS sensors fit connect to most of dis systems to get faster and more accurate fixes.
+
+> 🎓 Di groups of satellites for each deployment dey called constellations.
+
+## Read GPS sensor data
+
+Most GPS sensors dey send GPS data over UART.
+
+> ⚠️ UART na wetin we cover for [project 2, lesson 2](../../../2-farm/lessons/2-detect-soil-moisture/README.md#universal-asynchronous-receiver-transmitter-uart). If you need am, check dat lesson again.
+
+You fit use GPS sensor for your IoT device to get GPS data.
+
+### Task - connect a GPS sensor and read GPS data
+Make you follow di guide wey dey show how you go fit read GPS data wit your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-gps-sensor.md)
+* [Single-board computer - Raspberry Pi](pi-gps-sensor.md)
+* [Single-board computer - Virtual device](virtual-device-gps-sensor.md)
+
+## NMEA GPS data
+
+When you run your code, you go see wetin fit look like jargons for di output. But na standard GPS data be dat, and e get meaning.
+
+GPS sensors dey send data using NMEA messages, wey dey follow di NMEA 0183 standard. NMEA na short for [National Marine Electronics Association](https://www.nmea.org), one trade organization for US wey dey set standard for communication between marine electronics.
+
+> 💁 Dis standard na proprietary and e dey sell for at least US$2,000, but enough information about am dey public domain so dat most of di standard don dey reverse engineer and e fit dey use for open source and other non-commercial code.
+
+Di messages na text-based. Each message dey consist of one *sentence* wey dey start wit `$` character, followed by 2 characters wey dey show di source of di message (like GP for di US GPS system, GN for GLONASS, di Russian GPS system), and 3 characters wey dey show di type of message. Di rest of di message na fields wey comma dey separate, and e dey end wit new line character.
+
+Some types of messages wey you fit receive na:
+
+| Type | Description |
+| ---- | ----------- |
+| GGA | GPS Fix Data, wey include latitude, longitude, and altitude of di GPS sensor, plus di number of satellites wey dey view to calculate di fix. |
+| ZDA | Di current date and time, plus di local time zone |
+| GSV | Details of di satellites wey dey view - di satellites wey GPS sensor fit detect signal from |
+
+> 💁 GPS data dey include time stamps, so your IoT device fit collect di time if e need am from GPS sensor, instead of to depend on NTP server or internal real-time clock.
+
+Di GGA message dey include di current location using `(dd)dmm.mmmm` format, plus one single character wey dey show direction. Di `d` for di format na degrees, di `m` na minutes, wit seconds as decimals of minutes. For example, 2°17'43" go be 217.716666667 - 2 degrees, 17.716666667 minutes.
+
+Di direction character fit be `N` or `S` for latitude to show north or south, and `E` or `W` for longitude to show east or west. For example, latitude of 2°17'43" go get direction character `N`, -2°17'43" go get direction character `S`.
+
+For example - di NMEA sentence `$GNGGA,020604.001,4738.538654,N,12208.341758,W,1,3,,164.7,M,-17.1,M,,*67`
+
+* Di latitude part na `4738.538654,N`, wey go convert to 47.6423109 for decimal degrees. `4738.538654` na 47.6423109, and di direction na `N` (north), so e be positive latitude.
+
+* Di longitude part na `12208.341758,W`, wey go convert to -122.1390293 for decimal degrees. `12208.341758` na 122.1390293°, and di direction na `W` (west), so e be negative longitude.
+
+## Decode GPS sensor data
+
+Instead of to use di raw NMEA data, e better make you decode am into format wey go dey more useful. Plenty open-source libraries dey wey fit help you extract useful data from di raw NMEA messages.
+
+### Task - decode GPS sensor data
+
+Follow di guide wey dey show how you go fit decode GPS sensor data wit your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-gps-decode.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-gps-decode.md)
+
+---
+
+## 🚀 Challenge
+
+Try write your own NMEA decoder! Instead of to depend on third party libraries to decode NMEA sentences, you fit write your own decoder to extract latitude and longitude from NMEA sentences?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/22)
+
+## Review & Self Study
+
+* Read more about Geospatial Coordinates for di [Geographic coordinate system page for Wikipedia](https://wikipedia.org/wiki/Geographic_coordinate_system).
+* Learn about di Prime Meridians for other celestial bodies apart from Earth for di [Prime Meridian page for Wikipedia](https://wikipedia.org/wiki/Prime_meridian#Prime_meridian_on_other_planetary_bodies)
+* Research di different GPS systems wey dey from different world governments and political unions like EU, Japan, Russia, India and US.
+
+## Assignment
+
+[Investigate other GPS data](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/assignment.md b/translations/pcm/3-transport/lessons/1-location-tracking/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "bded364fc06ce37d7a76aed3be1ba73a",
+  "translation_date": "2025-11-18T19:06:44+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Check other GPS data
+
+## Wetin you go do
+
+Di NMEA sentences wey dey come from your GPS sensor get other tori apart from location. Check di extra tori wey dey, and use am for your IoT device.
+
+Example - you fit collect di current date and time? If you dey use microcontroller, you fit set di clock using GPS data di same way wey you take set am using NTP signals for di last project? You fit collect elevation (how high you dey above sea level), or di speed wey you dey waka?
+
+If you dey use virtual IoT device, you fit collect some of dis tori by sending NMEA sentences wey tools like [nmeagen.org](https://www.nmeagen.org) generate.
+
+## Marking Guide
+
+| Criteria | Beta | Okay | E no good |
+| -------- | ----- | ----- | --------- |
+| Collect more GPS tori | Fit collect and use more GPS tori, either as telemetry or to set up di IoT device | Fit collect more GPS tori, but e no fit use am | E no fit collect more GPS tori |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/pi-gps-sensor.md b/translations/pcm/3-transport/lessons/1-location-tracking/pi-gps-sensor.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "3b2448c7ab4e9673e77e35a50c5e350d",
+  "translation_date": "2025-11-18T19:06:12+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/pi-gps-sensor.md",
+  "language_code": "pcm"
+}
+-->
+# Read GPS data - Raspberry Pi
+
+For dis part of di lesson, you go add GPS sensor to your Raspberry Pi, and read di values wey e dey give.
+
+## Hardware
+
+Di Raspberry Pi need GPS sensor.
+
+Di sensor wey you go use na [Grove GPS Air530 sensor](https://www.seeedstudio.com/Grove-GPS-Air530-p-4584.html). Dis sensor fit connect to plenty GPS systems to get fast and correct location. Di sensor get two parts - di main electronics of di sensor, and one external antenna wey connect with thin wire to collect radio waves from di satellites.
+
+Dis na UART sensor, so e dey send GPS data through UART.
+
+## Connect di GPS sensor
+
+Di Grove GPS sensor fit connect to di Raspberry Pi.
+
+### Task - connect di GPS sensor
+
+Connect di GPS sensor.
+
+![A grove GPS sensor](../../../../../translated_images/grove-gps-sensor.247943bf69b03f0d1820ef6ed10c587f9b650e8db55b936851c92412180bd3e2.pcm.png)
+
+1. Put one end of Grove cable inside di socket for di GPS sensor. E go only enter one way.
+
+1. When di Raspberry Pi dey off, connect di other end of di Grove cable to di UART socket wey dem mark **UART** for di Grove Base hat wey dey attach to di Pi. Dis socket dey middle row, for di side wey near di SD Card slot, opposite di USB ports and ethernet socket.
+
+    ![Di grove GPS sensor wey connect to di UART socket](../../../../../translated_images/pi-gps-sensor.1f99ee2b2f6528915047ec78967bd362e0e4ee0ed594368a3837b9cf9cdaca64.pcm.png)
+
+1. Arrange di GPS sensor so di antenna wey dey attach go fit see di sky - e go better if e dey near open window or outside. E go easy to get better signal if nothing dey block di antenna.
+
+## Program di GPS sensor
+
+Di Raspberry Pi fit now dey programmed to use di GPS sensor wey dey attach.
+
+### Task - program di GPS sensor
+
+Program di device.
+
+1. On di Pi and wait make e boot.
+
+1. Di GPS sensor get 2 LEDs - one blue LED wey dey flash when e dey transmit data, and one green LED wey dey flash every second when e dey receive data from satellites. Make sure say di blue LED dey flash when you power di Pi. After some minutes, di green LED go dey flash - if e no flash, you fit need to reposition di antenna.
+
+1. Open VS Code, either directly for di Pi, or connect am through di Remote SSH extension.
+
+    > ⚠️ You fit check [di instructions for how to set up and open VS Code for lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/pi.md).
+
+1. For di newer Raspberry Pi wey support Bluetooth, e get wahala between di serial port wey Bluetooth dey use and di one wey di Grove UART port dey use. To fix am, do dis:
+
+    1. From di VS Code terminal, edit di `/boot/config.txt` file using `nano`, one terminal text editor wey dey built-in, with dis command:
+
+        ```sh
+        sudo nano /boot/config.txt
+        ```
+
+        > You no fit edit dis file with VS Code because you need `sudo` permissions, wey be elevated permission. VS Code no dey run dis permission.
+
+    1. Use your cursor keys to go di end of di file, then copy di code below and paste am for di end of di file:
+
+        ```ini
+        dtoverlay=pi3-miniuart-bt
+        dtoverlay=pi3-disable-bt
+        enable_uart=1
+        ```
+
+        You fit paste am using di normal keyboard shortcuts for your device (`Ctrl+v` for Windows, Linux or Raspberry Pi OS, `Cmd+v` for macOS).
+
+    1. Save di file and comot nano by pressing `Ctrl+x`. Press `y` when dem ask if you wan save di modified buffer, then press `enter` to confirm say you wan overwrite `/boot/config.txt`.
+
+        > If you make mistake, you fit comot without saving, then repeat di steps.
+
+    1. Edit di `/boot/cmdline.txt` file for nano with dis command:
+
+        ```sh
+        sudo nano /boot/cmdline.txt
+        ```
+
+    1. Dis file get plenty key/value pairs wey space dey separate. Remove any key/value pairs wey get di key `console`. Dem go look like dis:
+
+        ```output
+        console=serial0,115200 console=tty1 
+        ```
+
+        You fit use di cursor keys go di entries, then delete am with di normal `del` or `backspace` keys.
+
+        For example, if your original file look like dis:
+
+        ```output
+        console=serial0,115200 console=tty1 root=PARTUUID=058e2867-02 rootfstype=ext4 elevator=deadline fsck.repair=yes rootwait
+        ```
+
+        Di new version go be:
+
+        ```output
+        root=PARTUUID=058e2867-02 rootfstype=ext4 elevator=deadline fsck.repair=yes rootwait
+        ```
+
+    1. Follow di steps wey dey above to save di file and comot nano.
+
+    1. Reboot your Pi, then reconnect for VS Code after di Pi don reboot.
+
+1. From di terminal, create new folder for di `pi` user home directory wey dem call `gps-sensor`. Create file for dis folder wey dem call `app.py`.
+
+1. Open dis folder for VS Code.
+
+1. Di GPS module dey send UART data through serial port. Install di `pyserial` Pip package to fit communicate with di serial port from your Python code:
+
+    ```sh
+    pip3 install pyserial
+    ```
+
+1. Add di code below to your `app.py` file:
+
+    ```python
+    import time
+    import serial
+    
+    serial = serial.Serial('/dev/ttyAMA0', 9600, timeout=1)
+    serial.reset_input_buffer()
+    serial.flush()
+    
+    def print_gps_data(line):
+        print(line.rstrip())
+    
+    while True:
+        line = serial.readline().decode('utf-8')
+    
+        while len(line) > 0:
+            print_gps_data(line)
+            line = serial.readline().decode('utf-8')
+    
+        time.sleep(1)
+    ```
+
+    Dis code dey import di `serial` module from di `pyserial` Pip package. E then connect to di `/dev/ttyAMA0` serial port - dis na di address of di serial port wey di Grove Pi Base Hat dey use for di UART port. E go clear any data wey don already dey di serial connection.
+
+    Next, e define one function wey dem call `print_gps_data` wey dey print di line wey e pass to am for di console.
+
+    After dat, di code go dey loop forever, dey read as many lines of text as e fit from di serial port for each loop. E go dey call di `print_gps_data` function for each line.
+
+    After e don read all di data, di loop go sleep for 1 second, then e go try again.
+
+1. Run dis code. You go see di raw output from di GPS sensor, something like dis:
+
+    ```output
+    $GNGGA,020604.001,4738.538654,N,12208.341758,W,1,3,,164.7,M,-17.1,M,,*67
+    $GPGSA,A,1,,,,,,,,,,,,,,,*1E
+    $BDGSA,A,1,,,,,,,,,,,,,,,*0F
+    $GPGSV,1,1,00*79
+    $BDGSV,1,1,00*68
+    ```
+
+    > If you see one of di errors below when you stop and restart your code, add `try - except` block to your while loop.
+
+      ```output
+      UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte
+      UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf1 in position 0: invalid continuation byte
+      ```
+
+    ```python
+    while True:
+        try:
+            line = serial.readline().decode('utf-8')
+              
+            while len(line) > 0:
+                print_gps_data()
+                line = serial.readline().decode('utf-8')
+      
+        # There's a random chance the first byte being read is part way through a character.
+        # Read another full line and continue.
+
+        except UnicodeDecodeError:
+            line = serial.readline().decode('utf-8')
+
+    time.sleep(1)
+    ```
+
+> 💁 You fit find dis code for di [code-gps/pi](../../../../../3-transport/lessons/1-location-tracking/code-gps/pi) folder.
+
+😀 Your GPS sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di main source. For important informashun, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/single-board-computer-gps-decode.md b/translations/pcm/3-transport/lessons/1-location-tracking/single-board-computer-gps-decode.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "cbb8c285bc64c5192fae3368fb5077d2",
+  "translation_date": "2025-11-18T19:08:11+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/single-board-computer-gps-decode.md",
+  "language_code": "pcm"
+}
+-->
+# Decode GPS data - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go decode di NMEA messages wey di GPS sensor read from di Raspberry Pi or Virtual IoT Device, and you go comot di latitude and longitude.
+
+## Decode GPS data
+
+Once you don read di raw NMEA data from di serial port, you fit decode am using one open source NMEA library.
+
+### Task - decode GPS data
+
+Program di device make e decode di GPS data.
+
+1. Open di `gps-sensor` app project if e never open before.
+
+1. Install di `pynmea2` Pip package. Dis package get code wey fit decode NMEA messages.
+
+    ```sh
+    pip3 install pynmea2
+    ```
+
+1. Add dis code to di imports for di `app.py` file to import di `pynmea2` module:
+
+    ```python
+    import pynmea2
+    ```
+
+1. Change wetin dey inside di `print_gps_data` function to dis one:
+
+    ```python
+    msg = pynmea2.parse(line)
+    if msg.sentence_type == 'GGA':
+        lat = pynmea2.dm_to_sd(msg.lat)
+        lon = pynmea2.dm_to_sd(msg.lon)
+
+        if msg.lat_dir == 'S':
+            lat = lat * -1
+
+        if msg.lon_dir == 'W':
+            lon = lon * -1
+
+        print(f'{lat},{lon} - from {msg.num_sats} satellites')
+    ```
+
+    Dis code go use di `pynmea2` library to parse di line wey e read from di UART serial port.
+
+    If di sentence type for di message na `GGA`, e mean say na position fix message, and e go process am. Di latitude and longitude values go dey read from di message and e go convert am to decimal degrees from di NMEA `(d)ddmm.mmmm` format. Di `dm_to_sd` function na im dey do dis conversion.
+
+    Di direction for di latitude go dey check, and if di latitude dey south, di value go change to negative number. Same thing for longitude, if e dey west, e go change to negative number.
+
+    At di end, di coordinates go show for di console, plus di number of satellites wey dem use to get di location.
+
+1. Run di code. If you dey use virtual IoT device, make sure say di CounterFit app dey run and di GPS data dey send.
+
+    ```output
+    pi@raspberrypi:~/gps-sensor $ python3 app.py 
+    47.6423109,-122.1390293 - from 3 satellites
+    ```
+
+> 💁 You fit find dis code for di [code-gps-decode/virtual-device](../../../../../3-transport/lessons/1-location-tracking/code-gps-decode/virtual-device) folder, or di [code-gps-decode/pi](../../../../../3-transport/lessons/1-location-tracking/code-gps-decode/pi) folder.
+
+😀 Your GPS sensor program wey decode data don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/virtual-device-gps-sensor.md b/translations/pcm/3-transport/lessons/1-location-tracking/virtual-device-gps-sensor.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "64f18a8f8aaa1fef5e7320e0992d8b3a",
+  "translation_date": "2025-11-18T19:07:13+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/virtual-device-gps-sensor.md",
+  "language_code": "pcm"
+}
+-->
+# Read GPS data - Virtual IoT Hardware
+
+For dis part of di lesson, you go add GPS sensor to your virtual IoT device, and read di values wey e dey give.
+
+## Virtual Hardware
+
+Di virtual IoT device go use one GPS sensor wey dem dey simulate, wey you fit access through UART via serial port.
+
+Real GPS sensor dey get antenna wey dey collect radio wave from GPS satellites, and e go change di GPS signals to GPS data. Di virtual version dey simulate am by allowing you to set latitude and longitude, send raw NMEA sentences, or upload GPX file wey get plenty locations wey e fit return one by one.
+
+> 🎓 NMEA sentences go dey explain later for dis lesson
+
+### Add di sensor to CounterFit
+
+To use di virtual GPS sensor, you go need add am to di CounterFit app.
+
+#### Task - add di sensor to CounterFit
+
+Add di GPS sensor to di CounterFit app.
+
+1. Create new Python app for your computer inside one folder wey you go call `gps-sensor` wey get one file wey dem call `app.py` and Python virtual environment, then add di CounterFit pip packages.
+
+    > ⚠️ You fit check [di instructions for how to create and setup CounterFit Python project for lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/virtual-device.md).
+
+1. Install one extra Pip package wey go install CounterFit shim wey fit work with UART sensors through serial connection. Make sure say you dey install am from terminal wey di virtual environment dey active.
+
+    ```sh
+    pip install counterfit-shims-serial
+    ```
+
+1. Make sure say di CounterFit web app dey run.
+
+1. Create GPS sensor:
+
+    1. For di *Create sensor* box inside di *Sensors* pane, drop di *Sensor type* box and choose *UART GPS*.
+
+    1. Leave di *Port* as */dev/ttyAMA0*
+
+    1. Click di **Add** button to create di GPS sensor for port `/dev/ttyAMA0`
+
+    ![Di GPS sensor settings](../../../../../translated_images/counterfit-create-gps-sensor.6385dc9357d85ad1d47b4abb2525e7651fd498917d25eefc5a72feab09eedc70.pcm.png)
+
+    Di GPS sensor go dey create and e go show for di sensors list.
+
+    ![Di GPS sensor wey dem don create](../../../../../translated_images/counterfit-gps-sensor.3fbb15af0a5367566f2f11324ef5a6f30861cdf2b497071a5e002b7aa473550e.pcm.png)
+
+## Program di GPS sensor
+
+Di Virtual IoT device fit now dey program to use di virtual GPS sensor.
+
+### Task - program di GPS sensor
+
+Program di GPS sensor app.
+
+1. Make sure say di `gps-sensor` app dey open for VS Code.
+
+1. Open di `app.py` file.
+
+1. Add dis code for di top of `app.py` to connect di app to CounterFit:
+
+    ```python
+    from counterfit_connection import CounterFitConnection
+    CounterFitConnection.init('127.0.0.1', 5000)
+    ```
+
+1. Add dis code under di one wey dey above to import some libraries wey you need, including di library for di CounterFit serial port:
+
+    ```python
+    import time
+    import counterfit_shims_serial
+    
+    serial = counterfit_shims_serial.Serial('/dev/ttyAMA0')
+    ```
+
+    Dis code dey import di `serial` module from di `counterfit_shims_serial` Pip package. E then connect to di `/dev/ttyAMA0` serial port - na di address of di serial port wey di virtual GPS sensor dey use for e UART port.
+
+1. Add dis code under di one wey dey above to read from di serial port and print di values for console:
+
+    ```python
+    def print_gps_data(line):
+        print(line.rstrip())
+    
+    while True:
+        line = serial.readline().decode('utf-8')
+    
+        while len(line) > 0:
+            print_gps_data(line)
+            line = serial.readline().decode('utf-8')
+    
+        time.sleep(1)
+    ```
+
+    One function wey dem call `print_gps_data` dey define wey dey print di line wey dem pass give am for console.
+
+    Next, di code go dey loop forever, dey read as many lines of text as e fit from di serial port for each loop. E go call di `print_gps_data` function for each line.
+
+    After e don read all di data, di loop go sleep for 1 second, then e go try again.
+
+1. Run dis code, make sure say you dey use different terminal from di one wey di CounterFit app dey run, so dat di CounterFit app go still dey run.
+
+1. From di CounterFit app, change di value of di GPS sensor. You fit do am like dis:
+
+    * Set di **Source** to `Lat/Lon`, then set di latitude, longitude and di number of satellites wey dem use to get di GPS fix. Dis value go send only once, so check di **Repeat** box to make di data dey repeat every second.
+
+      ![Di GPS sensor wey dem set to lat lon](../../../../../translated_images/counterfit-gps-sensor-latlon.008c867d75464fbe7f84107cc57040df565ac07cb57d2f21db37d087d470197d.pcm.png)
+
+    * Set di **Source** to `NMEA` and add some NMEA sentences inside di text box. All di values go dey send, with delay of 1 second before each new GGA (position fix) sentence fit dey read.
+
+      ![Di GPS sensor wey dem set to NMEA sentences](../../../../../translated_images/counterfit-gps-sensor-nmea.c62eea442171e17e19528b051b104cfcecdc9cd18db7bc72920f29821ae63f73.pcm.png)
+
+      You fit use tool like [nmeagen.org](https://www.nmeagen.org) to generate dis sentences by drawing for map. Dis values go send only once, so check di **Repeat** box to make di data dey repeat one second after e don send all.
+
+    * Set di **Source** to GPX file, then upload GPX file wey get track locations. You fit download GPX files from popular mapping and hiking sites like [AllTrails](https://www.alltrails.com/). Dis files dey contain plenty GPS locations as trail, and di GPS sensor go dey return each new location every 1 second.
+
+      ![Di GPS sensor wey dem set to GPX file](../../../../../translated_images/counterfit-gps-sensor-gpxfile.8310b063ce8a425ccc8ebeec8306aeac5e8e55207f007d52c6e1194432a70cd9.pcm.png)
+
+      Dis values go send only once, so check di **Repeat** box to make di data dey repeat one second after e don send all.
+
+    Once you don configure di GPS settings, click di **Set** button to save di values for di sensor.
+
+1. You go see di raw output from di GPS sensor, something like dis:
+
+    ```output
+    $GNGGA,020604.001,4738.538654,N,12208.341758,W,1,3,,164.7,M,-17.1,M,,*67
+    $GNGGA,020604.001,4738.538654,N,12208.341758,W,1,3,,164.7,M,-17.1,M,,*67
+    ```
+
+> 💁 You fit find dis code for di [code-gps/virtual-device](../../../../../3-transport/lessons/1-location-tracking/code-gps/virtual-device) folder.
+
+😀 Your GPS sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey di native language na di main source wey you go fit trust. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong meaning wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/wio-terminal-gps-decode.md b/translations/pcm/3-transport/lessons/1-location-tracking/wio-terminal-gps-decode.md
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@@ -0,0 +1,85 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "fbbcf96a9b63ccd661db98bbf854bb06",
+  "translation_date": "2025-11-18T19:07:47+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/wio-terminal-gps-decode.md",
+  "language_code": "pcm"
+}
+-->
+# Decode GPS data - Wio Terminal
+
+For dis part of di lesson, you go decode di NMEA messages wey di GPS sensor for di Wio Terminal don read, and you go fit extract di latitude and longitude.
+
+## Decode GPS data
+
+Once you don read di raw NMEA data from di serial port, you fit decode am using one open source NMEA library.
+
+### Task - decode GPS data
+
+Program di device make e decode di GPS data.
+
+1. Open di `gps-sensor` app project if e never dey open before.
+
+1. Add library dependency for di [TinyGPSPlus](https://github.com/mikalhart/TinyGPSPlus) library to di project `platformio.ini` file. Dis library get code wey fit decode NMEA data.
+
+    ```ini
+    lib_deps =
+        mikalhart/TinyGPSPlus @ 1.0.2
+    ```
+
+1. For `main.cpp`, add one include directive for di TinyGPSPlus library:
+
+    ```cpp
+    #include <TinyGPS++.h>
+    ```
+
+1. Under di declaration of `Serial3`, declare one TinyGPSPlus object wey go process di NMEA sentences:
+
+    ```cpp
+    TinyGPSPlus gps;
+    ```
+
+1. Change wetin dey inside di `printGPSData` function to dis one:
+
+    ```cpp
+    if (gps.encode(Serial3.read()))
+    {
+        if (gps.location.isValid())
+        {
+            Serial.print(gps.location.lat(), 6);
+            Serial.print(F(","));
+            Serial.print(gps.location.lng(), 6);
+            Serial.print(" - from ");
+            Serial.print(gps.satellites.value());
+            Serial.println(" satellites");
+        }
+    }
+    ```
+
+   Dis code go read di next character from di UART serial port enter di `gps` NMEA decoder. After each character, e go check whether di decoder don read valid sentence, then e go check whether e don read valid location. If di location valid, e go send am go di serial monitor, plus di number of satellites wey contribute to di fix.
+
+1. Build and upload di code go di Wio Terminal.
+
+1. Once you don upload am, you fit dey monitor di GPS location data using di serial monitor.
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1201  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    47.6423109,-122.1390293 - from 3 satellites
+    ```
+
+> 💁 You fit find dis code for di [code-gps-decode/wio-terminal](../../../../../3-transport/lessons/1-location-tracking/code-gps-decode/wio-terminal) folder.
+
+😀 Your GPS sensor program wey dey decode data don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey di native language na di main source wey you go fit trust. For important mata, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/1-location-tracking/wio-terminal-gps-sensor.md b/translations/pcm/3-transport/lessons/1-location-tracking/wio-terminal-gps-sensor.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/3-transport/lessons/1-location-tracking/wio-terminal-gps-sensor.md
@@ -0,0 +1,156 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "da6ae0a795cf06be33d23ca5b8493fc8",
+  "translation_date": "2025-11-18T19:04:07+00:00",
+  "source_file": "3-transport/lessons/1-location-tracking/wio-terminal-gps-sensor.md",
+  "language_code": "pcm"
+}
+-->
+# Read GPS data - Wio Terminal
+
+For dis part of di lesson, you go add GPS sensor to your Wio Terminal, and read di values wey e dey give.
+
+## Hardware
+
+Di Wio Terminal go need GPS sensor.
+
+Di sensor wey you go use na [Grove GPS Air530 sensor](https://www.seeedstudio.com/Grove-GPS-Air530-p-4584.html). Dis sensor fit connect to plenty GPS systems to give quick and correct location. Di sensor get two parts - di main electronics of di sensor, and one external antenna wey dem connect with thin wire to catch di radio waves from di satellites.
+
+Dis na UART sensor, so e dey send GPS data through UART.
+
+### Connect di GPS sensor
+
+You fit connect di Grove GPS sensor to di Wio Terminal.
+
+#### Task - connect di GPS sensor
+
+Connect di GPS sensor.
+
+![A grove GPS sensor](../../../../../translated_images/grove-gps-sensor.247943bf69b03f0d1820ef6ed10c587f9b650e8db55b936851c92412180bd3e2.pcm.png)
+
+1. Put one end of di Grove cable for di socket wey dey di GPS sensor. E go only enter one way.
+
+1. Make sure say di Wio Terminal no dey connect to your computer or any power source, then connect di other end of di Grove cable to di left-hand side Grove socket for di Wio Terminal as you dey look di screen. Na di socket wey near di power button.
+
+    ![The grove GPS sensor connected to the left hand socket](../../../../../translated_images/wio-gps-sensor.19fd52b81ce58095d5deb3d4e5a1fdd88818d76569b00b1f0d740c92dc986525.pcm.png)
+
+1. Arrange di GPS sensor so di antenna wey dey attach fit see di sky well - e go better if e dey near open window or outside. E go easy to get clear signal if nothing dey block di antenna.
+
+1. Now, you fit connect di Wio Terminal to your computer.
+
+1. Di GPS sensor get 2 LEDs - one blue LED wey dey blink when e dey send data, and one green LED wey dey blink every second when e dey receive data from satellites. Make sure say di blue LED dey blink when you power di Wio Terminal. After some minutes, di green LED go start to blink - if e no blink, you fit need adjust di antenna position.
+
+## Program di GPS sensor
+
+Now, you fit program di Wio Terminal to use di GPS sensor wey you don connect.
+
+### Task - program di GPS sensor
+
+Program di device.
+
+1. Create new Wio Terminal project with PlatformIO. Name di project `gps-sensor`. Add code for di `setup` function to configure di serial port.
+
+1. Add dis include directive for di top of di `main.cpp` file. E go include one header file wey get functions to configure di left-hand Grove port for UART.
+
+    ```cpp
+    #include <wiring_private.h>
+    ```
+
+1. After dis one, add dis line of code to declare one serial port connection to di UART port:
+
+    ```cpp
+    static Uart Serial3(&sercom3, PIN_WIRE_SCL, PIN_WIRE_SDA, SERCOM_RX_PAD_1, UART_TX_PAD_0);
+    ```
+
+1. You go need add some code to redirect some internal signal handlers to dis serial port. Add dis code below di `Serial3` declaration:
+
+    ```cpp
+    void SERCOM3_0_Handler()
+    {
+        Serial3.IrqHandler();
+    }
+    
+    void SERCOM3_1_Handler()
+    {
+        Serial3.IrqHandler();
+    }
+    
+    void SERCOM3_2_Handler()
+    {
+        Serial3.IrqHandler();
+    }
+    
+    void SERCOM3_3_Handler()
+    {
+        Serial3.IrqHandler();
+    }
+    ```
+
+1. For di `setup` function, after di `Serial` port configuration, configure di UART serial port with dis code:
+
+    ```cpp
+    Serial3.begin(9600);
+
+    while (!Serial3)
+        ; // Wait for Serial3 to be ready
+
+    delay(1000);
+    ```
+
+1. After dis code for di `setup` function, add dis code to connect di Grove pin to di serial port:
+
+    ```cpp
+    pinPeripheral(PIN_WIRE_SCL, PIO_SERCOM_ALT);
+    ```
+
+1. Add dis function before di `loop` function to send di GPS data go di serial monitor:
+
+    ```cpp
+    void printGPSData()
+    {
+        Serial.println(Serial3.readStringUntil('\n'));
+    }
+    ```
+
+1. For di `loop` function, add dis code to read from di UART serial port and print di output go di serial monitor:
+
+    ```cpp
+    while (Serial3.available() > 0)
+    {
+        printGPSData();
+    }
+    
+    delay(1000);
+    ```
+
+    Dis code dey read from di UART serial port. Di `readStringUntil` function dey read until e see one terminator character, for dis case na new line. E go read one whole NMEA sentence (NMEA sentences dey end with new line character). As data dey available for di UART serial port, e go dey read am and send am go di serial monitor through di `printGPSData` function. Once data no dey again, di `loop` go delay for 1 second (1,000ms).
+
+1. Build and upload di code go di Wio Terminal.
+
+1. Once you don upload am, you fit monitor di GPS data with di serial monitor.
+
+    ```output
+    > Executing task: platformio device monitor <
+    
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1201  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    $GNGGA,020604.001,4738.538654,N,12208.341758,W,1,3,,164.7,M,-17.1,M,,*67
+    $GPGSA,A,1,,,,,,,,,,,,,,,*1E
+    $BDGSA,A,1,,,,,,,,,,,,,,,*0F
+    $GPGSV,1,1,00*79
+    $BDGSV,1,1,00*68
+    ```
+
+> 💁 You fit find dis code for di [code-gps/wio-terminal](../../../../../3-transport/lessons/1-location-tracking/code-gps/wio-terminal) folder.
+
+😀 Your GPS sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg sabi say transle-shon wey machine do fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transle-shon dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/2-store-location-data/README.md b/translations/pcm/3-transport/lessons/2-store-location-data/README.md
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@@ -0,0 +1,484 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e345843ccfeb7261d81500d19c64d476",
+  "translation_date": "2025-11-18T19:09:42+00:00",
+  "source_file": "3-transport/lessons/2-store-location-data/README.md",
+  "language_code": "pcm"
+}
+-->
+# Store location data
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-12.ca7f53039712a3ec14ad6474d8445361c84adab643edc53fa6269b77895606bb.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/23)
+
+## Introduction
+
+For di last lesson, you don learn how to use GPS sensor to capture location data. To use dis data to show di location of one truck wey dey carry food, and di journey, e need to send am go one IoT service for cloud, and store am somewhere.
+
+For dis lesson, you go learn di different ways wey you fit store IoT data, and how to store data from your IoT service using serverless code.
+
+For dis lesson we go talk about:
+
+* [Structured and unstructured data](../../../../../3-transport/lessons/2-store-location-data)
+* [Send GPS data to an IoT Hub](../../../../../3-transport/lessons/2-store-location-data)
+* [Hot, warm, and cold paths](../../../../../3-transport/lessons/2-store-location-data)
+* [Handle GPS events using serverless code](../../../../../3-transport/lessons/2-store-location-data)
+* [Azure Storage Accounts](../../../../../3-transport/lessons/2-store-location-data)
+* [Connect your serverless code to storage](../../../../../3-transport/lessons/2-store-location-data)
+
+## Structured and unstructured data
+
+Computer systems dey work with data, and dis data dey come in different shapes and sizes. E fit be single numbers, plenty text, videos, images, or IoT data. Data dey usually fall into two categories - *structured* data and *unstructured* data.
+
+* **Structured data** na data wey get well-defined, rigid structure wey no dey change, and e dey usually match tables of data wey get relationships. Example na person details like name, date of birth, and address.
+
+* **Unstructured data** na data wey no get well-defined, rigid structure, including data wey fit dey change structure anyhow. Example na documents like written documents or spreadsheets.
+
+✅ Do small research: You fit think of other examples of structured and unstructured data?
+
+> 💁 E still get semi-structured data wey dey structured but e no fit enter fixed tables of data.
+
+IoT data dey usually dey consider as unstructured data.
+
+Imagine say you wan add IoT devices to one fleet of vehicles for one big commercial farm. You fit wan use different devices for different types of vehicle. For example:
+
+* For farm vehicles like tractors, you go wan GPS data to make sure say dem dey work for di correct fields.
+* For delivery trucks wey dey carry food go warehouses, you go wan GPS data plus speed and acceleration data to make sure say di driver dey drive safely, and drive identity plus start/stop data to make sure say di driver dey follow local laws for working hours.
+* For refrigerated trucks, you go wan temperature data to make sure say di food no too hot or cold spoil for transit.
+
+Dis data fit dey change anyhow. For example, if di IoT device dey inside truck cab, di data wey e dey send fit change as di trailer change, like sending temperature data only when refrigerated trailer dey used.
+
+✅ Wetin be other IoT data wey fit dey captured? Think about di kind loads wey trucks fit carry, plus maintenance data.
+
+Dis data dey vary from vehicle to vehicle, but e go still dey send go di same IoT service for processing. Di IoT service need to fit process dis unstructured data, store am in way wey go allow am to dey searched or analyzed, but e go still work with different structures of di data.
+
+### SQL vs NoSQL storage
+
+Databases na services wey dey allow you store and query data. Database dey come in two types - SQL and NoSQL.
+
+#### SQL databases
+
+Di first databases na Relational Database Management Systems (RDBMS), or relational database. Dem dey also call am SQL databases because of di Structured Query Language (SQL) wey dem dey use to add, remove, update or query data. Dis database get schema - one well-defined set of tables of data, like spreadsheet. Each table get plenty named columns. When you insert data, you dey add one row to di table, put values inside each of di columns. Dis dey keep di data for very rigid structure - even though you fit leave columns empty, if you wan add new column, you go need do am for di database, populate values for di existing rows. Dis databases dey relational - one table fit get relationship to another.
+
+![A relational database with the ID of the User table relating to the user ID column of the purchases table, and the ID of the products table relating to the product ID of the purchases table](../../../../../translated_images/sql-database.be160f12bfccefd3ca718a66468c2c4c89c53e5aad4c295324d576da87f9dfdd.pcm.png)
+
+For example, if you store one user personal details for one table, you go get one kind internal unique ID per user wey dey used for one row for table wey get di user name and address. If you wan store other details about di user, like di purchases, for another table, you go get one column for di new table for di user ID. When you look up one user, you fit use di ID to get di personal details from one table, and di purchases from another.
+
+SQL databases dey perfect for storing structured data, and for when you wan make sure say di data match di schema.
+
+✅ If you never use SQL before, take small time read about am for di [SQL page on Wikipedia](https://wikipedia.org/wiki/SQL).
+
+Some popular SQL databases na Microsoft SQL Server, MySQL, and PostgreSQL.
+
+✅ Do small research: Read about some of dis SQL databases and wetin dem fit do.
+
+#### NoSQL database
+
+NoSQL databases dey called NoSQL because dem no get di same rigid structure wey SQL databases get. Dem dey also call am document databases because dem fit store unstructured data like documents.
+
+> 💁 Even though dem name na NoSQL, some NoSQL databases dey allow you use SQL to query di data.
+
+![Documents in folders in a NoSQL database](../../../../../translated_images/noqsl-database.62d24ccf5b73f60d35c245a8533f1c7147c0928e955b82cb290b2e184bb434df.pcm.png)
+
+NoSQL database no get pre-defined schema wey dey limit how data dey stored, instead you fit insert any unstructured data, usually using JSON documents. Dis documents fit dey organized into folders, like files for your computer. Each document fit get different fields from other documents - for example, if you dey store IoT data from your farm vehicles, some fit get fields for accelerometer and speed data, others fit get fields for di temperature for di trailer. If you wan add new truck type, like one wey get built-in scales to track di weight of produce wey e dey carry, di IoT device fit add dis new field and e fit dey stored without any changes to di database.
+
+Some popular NoSQL databases na Azure CosmosDB, MongoDB, and CouchDB.
+
+✅ Do small research: Read about some of dis NoSQL databases and wetin dem fit do.
+
+For dis lesson, you go dey use NoSQL storage to store IoT data.
+
+## Send GPS data to an IoT Hub
+
+For di last lesson, you don capture GPS data from GPS sensor wey connect to your IoT device. To store dis IoT data for cloud, you need to send am go one IoT service. You go still dey use Azure IoT Hub, di same IoT cloud service wey you use for di previous project.
+
+![Sending GPS telemetry from an IoT device to IoT Hub](../../../../../translated_images/gps-telemetry-iot-hub.8115335d51cd2c1285d20e9d1b18cf685e59a8e093e7797291ef173445af6f3d.pcm.png)
+
+### Task - send GPS data to an IoT Hub
+
+1. Create new IoT Hub using di free tier.
+
+    > ⚠️ You fit check di [instructions for creating an IoT Hub from project 2, lesson 4](../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md#create-an-iot-service-in-the-cloud) if you need help.
+
+    Make sure say you create new Resource Group. Name di new Resource Group `gps-sensor`, and di new IoT Hub one unique name wey base on `gps-sensor`, like `gps-sensor-<your name>`.
+
+    > 💁 If you still get your IoT Hub from di previous project, you fit use am again. Make sure say you use di name of dis IoT Hub and di Resource Group wey e dey inside when you dey create other services.
+
+1. Add new device to di IoT Hub. Call dis device `gps-sensor`. Collect di connection string for di device.
+
+1. Update your device code to send di GPS data go di new IoT Hub using di device connection string wey you collect for di previous step.
+
+    > ⚠️ You fit check di [instructions for connecting your device to an IoT from project 2, lesson 4](../../../2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md#connect-your-device-to-the-iot-service) if you need help.
+
+1. When you dey send di GPS data, send am as JSON for dis format:
+
+    ```json
+    {
+        "gps" :
+        {
+            "lat" : <latitude>,
+            "lon" : <longitude>
+        }
+    }
+    ```
+
+1. Send GPS data every minute so you no go use up your daily message allocation.
+
+If you dey use di Wio Terminal, make sure say you add all di necessary libraries, and set di time using NTP server. Your code go also need make sure say e don read all di data from di serial port before e send di GPS location, using di existing code from di last lesson. Use dis code to construct di JSON document:
+
+```cpp
+DynamicJsonDocument doc(1024);
+doc["gps"]["lat"] = gps.location.lat();
+doc["gps"]["lon"] = gps.location.lng();
+```
+
+If you dey use Virtual IoT device, make sure say you install all di needed libraries using virtual environment.
+
+For both di Raspberry Pi and Virtual IoT device, use di existing code from di last lesson to get di latitude and longitude values, then send dem for di correct JSON format with dis code:
+
+```python
+message_json = { "gps" : { "lat":lat, "lon":lon } }
+print("Sending telemetry", message_json)
+message = Message(json.dumps(message_json))
+```
+
+> 💁 You fit find dis code for di [code/wio-terminal](../../../../../3-transport/lessons/2-store-location-data/code/wio-terminal), [code/pi](../../../../../3-transport/lessons/2-store-location-data/code/pi) or [code/virtual-device](../../../../../3-transport/lessons/2-store-location-data/code/virtual-device) folder.
+
+Run your device code and make sure say messages dey flow enter IoT Hub using di `az iot hub monitor-events` CLI command.
+
+## Hot, warm, and cold paths
+
+Data wey dey flow from IoT device go cloud no dey always dey processed for real time. Some data need real time processing, others fit dey processed small time later, and others fit dey processed much later. Di flow of data go different services wey dey process di data for different times na wetin dem dey call hot, warm and cold paths.
+
+### Hot path
+
+Hot path na data wey need to dey processed for real time or near real time. You fit use hot path data for alerts, like getting alerts say one vehicle dey near depot, or say di temperature for refrigerated truck don too high.
+
+To use hot path data, your code go respond to events as dem dey received by your cloud services.
+
+### Warm path
+
+Warm path na data wey fit dey processed small time after e don dey received, like for reporting or short term analytics. You fit use warm path data for daily reports on vehicle mileage, using data wey dem gather di previous day.
+
+Warm path data dey stored once e don dey received by di cloud service inside one kind storage wey fit dey accessed quickly.
+
+### Cold path
+
+Cold path na historic data, storing data for long term to dey processed anytime wey e dey needed. For example, you fit use cold path to get annual mileage reports for vehicles, or run analytics on routes to find di best route to reduce fuel costs.
+
+Cold path data dey stored for data warehouses - databases wey dem design to store plenty data wey no go change and fit dey queried quickly and easily. You go normally get one regular job for your cloud application wey go dey run for regular time each day, week, or month to move data from warm path storage enter di data warehouse.
+
+✅ Think about di data wey you don capture so far for dis lessons. E dey hot, warm or cold path data?
+
+## Handle GPS events using serverless code
+
+Once data don dey flow enter your IoT Hub, you fit write some serverless code to dey listen for events wey dem publish to di Event-Hub compatible endpoint. Dis na di warm path - dis data go dey stored and used for di next lesson for reporting di journey.
+
+![Sending GPS telemetry from an IoT device to IoT Hub, then to Azure Functions via an event hub trigger](../../../../../translated_images/gps-telemetry-iot-hub-functions.24d3fa5592455e9f4e2fe73856b40c3915a292b90263c31d652acfd976cfedd8.pcm.png)
+
+### Task - handle GPS events using serverless code
+
+1. Create one Azure Functions app using di Azure Functions CLI. Use di Python runtime, and create am for one folder wey you go call `gps-trigger`, and use di same name for di Functions App project name. Make sure say you create one virtual environment to use for dis.
+
+    > ⚠️ You fit check di [instructions for creating an Azure Functions Project from project 2, lesson 5](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#create-a-serverless-application) if you need help.
+
+1. Add one IoT Hub event trigger wey dey use di IoT Hub Event Hub compatible endpoint.
+> ⚠️ You fit check [di instructions for how to create IoT Hub event trigger from project 2, lesson 5](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#create-an-iot-hub-event-trigger) if you need am.
+
+1. Put di Event Hub compatible endpoint connection string for inside `local.settings.json` file, and use di key for dat entry for inside `function.json` file.
+
+1. Use di Azurite app as local storage emulator.
+
+1. Run your functions app make sure say e dey receive events from your GPS device. Make sure say your IoT device dey run and dey send GPS data.
+
+    ```output
+    Python EventHub trigger processed an event: {"gps": {"lat": 47.73481, "lon": -122.25701}}
+    ```
+
+## Azure Storage Accounts
+
+![Di Azure Storage logo](../../../../../translated_images/azure-storage-logo.605c0f602c640d482a80f1b35a2629a32d595711b7ab1d7ceea843250615ff32.pcm.png)
+
+Azure Storage Accounts na general purpose storage service wey fit store data in different ways. You fit store data as blobs, for queues, for tables, or as files, and all of dem fit dey at di same time.
+
+### Blob storage
+
+Di word *Blob* mean binary large objects, but e don turn to di name for any unstructured data. You fit store any data for blob storage, from JSON documents wey get IoT data, to image and movie files. Blob storage get di concept of *containers*, wey be buckets wey you fit store data inside, e dey similar to tables for relational database. Dis containers fit get one or more folders to store blobs, and each folder fit get other folders, e dey similar to how files dey store for your computer hard disk.
+
+You go use blob storage for dis lesson to store IoT data.
+
+✅ Do small research: Read about [Azure Blob Storage](https://docs.microsoft.com/azure/storage/blobs/storage-blobs-overview?WT.mc_id=academic-17441-jabenn)
+
+### Table storage
+
+Table storage dey allow you store semi-structured data. Table storage na NoSQL database, so e no need defined set of tables upfront, but e dey designed to store data for one or more tables, with unique keys to define each row.
+
+✅ Do small research: Read about [Azure Table Storage](https://docs.microsoft.com/azure/storage/tables/table-storage-overview?WT.mc_id=academic-17441-jabenn)
+
+### Queue storage
+
+Queue storage dey allow you store messages wey reach 64KB for size for queue. You fit add messages for di back of di queue, and read dem from di front. Queues dey store messages indefinitely as long as storage space still dey, so e dey allow messages to dey store long term, then read am when e dey needed. For example, if you wan run monthly job to process GPS data, you fit dey add am to queue every day for one month, then for di end of di month process all di messages from di queue.
+
+✅ Do small research: Read about [Azure Queue Storage](https://docs.microsoft.com/azure/storage/queues/storage-queues-introduction?WT.mc_id=academic-17441-jabenn)
+
+### File storage
+
+File storage na storage of files for di cloud, and any apps or devices fit connect using industry standard protocols. You fit write files to file storage, then mount am as drive for your PC or Mac.
+
+✅ Do small research: Read about [Azure File Storage](https://docs.microsoft.com/azure/storage/files/storage-files-introduction?WT.mc_id=academic-17441-jabenn)
+
+## Connect your serverless code to storage
+
+Your function app now need to connect to blob storage to store di messages from di IoT Hub. Two ways dey to do dis:
+
+* Inside di function code, connect to blob storage using di blob storage Python SDK and write di data as blobs.
+* Use output function binding to bind di return value of di function to blob storage and make di blob save automatically.
+
+For dis lesson, you go use di Python SDK to see how to interact with blob storage.
+
+![How GPS telemetry dey move from IoT device to IoT Hub, then to Azure Functions via event hub trigger, then save am to blob storage](../../../../../translated_images/save-telemetry-to-storage-from-functions.ed3b1820980097f143d9f0570072da11304c2bc7906359dfa075b4d9b253c20f.pcm.png)
+
+Di data go dey save as JSON blob with dis format:
+
+```json
+{
+    "device_id": <device_id>,
+    "timestamp" : <time>,
+    "gps" :
+    {
+        "lat" : <latitude>,
+        "lon" : <longitude>
+    }
+}
+```
+
+### Task - connect your serverless code to storage
+
+1. Create Azure Storage account. Name am something like `gps<your name>`.
+
+    > ⚠️ You fit check [di instructions for how to create storage account from project 2, lesson 5](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#task---create-the-cloud-resources) if you need am.
+
+    If you still get storage account from di previous project, you fit use am again.
+
+    > 💁 You go fit use di same storage account to deploy your Azure Functions app later for dis lesson.
+
+1. Run dis command to get di connection string for di storage account:
+
+    ```sh
+    az storage account show-connection-string --output table \
+                                              --name <storage_name>
+    ```
+
+    Replace `<storage_name>` with di name of di storage account wey you create for di previous step.
+
+1. Add new entry to di `local.settings.json` file for your storage account connection string, using di value from di previous step. Name am `STORAGE_CONNECTION_STRING`.
+
+1. Add dis to di `requirements.txt` file to install di Azure storage Pip packages:
+
+    ```sh
+    azure-storage-blob
+    ```
+
+    Install di packages from dis file for your virtual environment.
+
+    > If error show, upgrade your Pip version for your virtual environment to di latest version with dis command, then try again:
+    >
+    > ```sh
+    > pip install --upgrade pip
+    > ```
+
+1. For di `__init__.py` file for di `iot-hub-trigger`, add dis import statements:
+
+    ```python
+    import json
+    import os
+    import uuid
+    from azure.storage.blob import BlobServiceClient, PublicAccess
+    ```
+
+    Di `json` system module go dey used to read and write JSON, di `os` system module go dey used to read di connection string, di `uuid` system module go dey used to generate unique ID for di GPS reading.
+
+    Di `azure.storage.blob` package get di Python SDK to work with blob storage.
+
+1. Before di `main` method, add dis helper function:
+
+    ```python
+    def get_or_create_container(name):
+        connection_str = os.environ['STORAGE_CONNECTION_STRING']
+        blob_service_client = BlobServiceClient.from_connection_string(connection_str)
+    
+        for container in blob_service_client.list_containers():
+            if container.name == name:
+                return blob_service_client.get_container_client(container.name)
+        
+        return blob_service_client.create_container(name, public_access=PublicAccess.Container)
+    ```
+
+    Di Python blob SDK no get helper method to create container if e no dey exist. Dis code go load di connection string from di `local.settings.json` file (or di Application Settings once e deploy to di cloud), then create `BlobServiceClient` class from dis to interact with di blob storage account. E go loop through all di containers for di blob storage account, dey look for one wey get di provided name - if e find one e go return `ContainerClient` class wey fit interact with di container to create blobs. If e no find one, di container go dey create and di client for di new container go dey return.
+
+    When di new container dey create, public access go dey grant to query di blobs for di container. Dis go dey used for di next lesson to visualize di GPS data for map.
+
+1. Unlike di soil moisture, for dis code we wan store every event, so add dis code inside di `for event in events:` loop for di `main` function, below di `logging` statement:
+
+    ```python
+    device_id = event.iothub_metadata['connection-device-id']
+    blob_name = f'{device_id}/{str(uuid.uuid1())}.json'
+    ```
+
+    Dis code go get di device ID from di event metadata, then use am to create blob name. Blobs fit dey store for folders, and device ID go dey used for di folder name, so each device go get all di GPS events for one folder. Di blob name na dis folder, followed by document name, separated with forward slashes, e dey similar to Linux and macOS paths (similar to Windows too, but Windows dey use back slashes). Di document name na unique ID wey Python `uuid` module generate, with di file type of `json`.
+
+    For example, for di `gps-sensor` device ID, di blob name fit be `gps-sensor/a9487ac2-b9cf-11eb-b5cd-1e00621e3648.json`.
+
+1. Add dis code below dis:
+
+    ```python
+    container_client = get_or_create_container('gps-data')
+    blob = container_client.get_blob_client(blob_name)
+    ```
+
+    Dis code go get di container client using di `get_or_create_container` helper class, and then get blob client object using di blob name. Dis blob clients fit refer to existing blobs, or as e dey for dis case, to new blob.
+
+1. Add dis code after dis:
+
+    ```python
+    event_body = json.loads(event.get_body().decode('utf-8'))
+    blob_body = {
+        'device_id' : device_id,
+        'timestamp' : event.iothub_metadata['enqueuedtime'],
+        'gps': event_body['gps']
+    }
+    ```
+
+    Dis dey build di body of di blob wey go dey write to blob storage. E be JSON document wey get di device ID, di time wey di telemetry dey send to IoT Hub, and di GPS coordinates from di telemetry.
+
+    > 💁 E dey important to use di enqueued time of di message instead of di current time to get di time wey di message dey send. E fit dey for di hub for some time before e dey pick up if di Functions App no dey run.
+
+1. Add dis below dis code:
+
+    ```python
+    logging.info(f'Writing blob to {blob_name} - {blob_body}')
+    blob.upload_blob(json.dumps(blob_body).encode('utf-8'))
+    ```
+
+    Dis code dey log say blob dey about to dey write with di details, then e dey upload di blob body as di content of di new blob.
+
+1. Run di Functions app. You go see blobs dey write for all di GPS events for di output:
+
+    ```output
+    [2021-05-21T01:31:14.325Z] Python EventHub trigger processed an event: {"gps": {"lat": 47.73092, "lon": -122.26206}}
+    ...
+    [2021-05-21T01:31:14.351Z] Writing blob to gps-sensor/4b6089fe-ba8d-11eb-bc7b-1e00621e3648.json - {'device_id': 'gps-sensor', 'timestamp': '2021-05-21T00:57:53.878Z', 'gps': {'lat': 47.73092, 'lon': -122.26206}}
+    ```
+
+    > 💁 Make sure say you no dey run di IoT Hub event monitor at di same time.
+
+> 💁 You fit find dis code for di [code/functions](../../../../../3-transport/lessons/2-store-location-data/code/functions) folder.
+
+### Task - verify di uploaded blobs
+
+1. To view di blobs wey dey create, you fit use [Azure Storage Explorer](https://azure.microsoft.com/features/storage-explorer/?WT.mc_id=academic-17441-jabenn), free tool wey dey allow you view and manage your storage accounts, or from di CLI.
+
+    1. To use di CLI, first you go need account key. Run dis command to get di key:
+
+        ```sh
+        az storage account keys list --output table \
+                                     --account-name <storage_name>
+        ```
+
+        Replace `<storage_name>` with di name of di storage account.
+
+        Copy di value of `key1`.
+
+    1. Run dis command to list di blobs for di container:
+
+        ```sh
+        az storage blob list --container-name gps-data \
+                             --output table \
+                             --account-name <storage_name> \
+                             --account-key <key1>
+        ```
+
+        Replace `<storage_name>` with di name of di storage account, and `<key1>` with di value of `key1` wey you copy for di last step.
+
+        Dis go list out all di blobs for di container:
+
+        ```output
+        Name                                                  Blob Type    Blob Tier    Length    Content Type              Last Modified              Snapshot
+        ----------------------------------------------------  -----------  -----------  --------  ------------------------  -------------------------  ----------
+        gps-sensor/1810d55e-b9cf-11eb-9f5b-1e00621e3648.json  BlockBlob    Hot          45        application/octet-stream  2021-05-21T00:54:27+00:00
+        gps-sensor/18293e46-b9cf-11eb-9f5b-1e00621e3648.json  BlockBlob    Hot          45        application/octet-stream  2021-05-21T00:54:28+00:00
+        gps-sensor/1844549c-b9cf-11eb-9f5b-1e00621e3648.json  BlockBlob    Hot          45        application/octet-stream  2021-05-21T00:54:28+00:00
+        gps-sensor/1894d714-b9cf-11eb-9f5b-1e00621e3648.json  BlockBlob    Hot          45        application/octet-stream  2021-05-21T00:54:28+00:00
+        ```
+
+    1. Download one of di blobs using dis command:
+
+        ```sh
+        az storage blob download --container-name gps-data \
+                                 --account-name <storage_name> \
+                                 --account-key <key1> \
+                                 --name <blob_name> \
+                                 --file <file_name>
+        ```
+
+        Replace `<storage_name>` with di name of di storage account, and `<key1>` with di value of `key1` wey you copy for di earlier step.
+
+        Replace `<blob_name>` with di full name from di `Name` column of di output of di last step, including di folder name. Replace `<file_name>` with di name of local file to save di blob to.
+
+    Once e download, you fit open di JSON file for VS Code, and you go see di blob wey get di GPS location details:
+
+    ```json
+    {"device_id": "gps-sensor", "timestamp": "2021-05-21T00:57:53.878Z", "gps": {"lat": 47.73092, "lon": -122.26206}}
+    ```
+
+### Task - deploy your Functions App to di cloud
+
+Now wey your Function app dey work, you fit deploy am to di cloud.
+
+1. Create new Azure Functions app, using di storage account wey you create earlier. Name am something like `gps-sensor-` and add unique identifier for di end, like random words or your name.
+
+    > ⚠️ You fit check [di instructions for how to create Functions app from project 2, lesson 5](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#task---create-the-cloud-resources) if you need am.
+
+1. Upload di `IOT_HUB_CONNECTION_STRING` and `STORAGE_CONNECTION_STRING` values to di Application Settings.
+
+    > ⚠️ You fit check [di instructions for how to upload Application Settings from project 2, lesson 5](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#task---upload-your-application-settings) if you need am.
+
+1. Deploy your local Functions app to di cloud.
+
+    > ⚠️ You fit check [di instructions for how to deploy your Functions app from project 2, lesson 5](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#task---deploy-your-functions-app-to-the-cloud) if you need am.
+
+---
+
+## 🚀 Challenge
+
+GPS data no dey perfectly accurate, and di locations wey dem dey detect fit dey off by few meters, if no be more especially for tunnels and areas wey get tall buildings.
+
+Think about how satellite navigation fit overcome dis? Wetin your sat-nav get wey fit help am make better predictions for your location?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/24)
+
+## Review & Self Study
+
+* Read about structured data for di [Data model page for Wikipedia](https://wikipedia.org/wiki/Data_model)
+* Read about semi-structured data for di [Semi-structured data page for Wikipedia](https://wikipedia.org/wiki/Semi-structured_data)
+* Read about unstructured data for di [Unstructured data page for Wikipedia](https://wikipedia.org/wiki/Unstructured_data)
+* Read more about Azure Storage and di different storage types for di [Azure Storage documentation](https://docs.microsoft.com/azure/storage/?WT.mc_id=academic-17441-jabenn)
+
+## Assignment
+
+[Check function bindings](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/2-store-location-data/assignment.md b/translations/pcm/3-transport/lessons/2-store-location-data/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "b2e0a965723082b068f735aec0faf3f6",
+  "translation_date": "2025-11-18T19:11:08+00:00",
+  "source_file": "3-transport/lessons/2-store-location-data/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Investigate function bindings
+
+## Instructions
+
+Function bindings dey allow your code save blobs for blob storage by returning dem from di `main` function. Di Azure Storage account, collection and other details dey configured for di `function.json` file.
+
+When you dey work with Azure or other Microsoft technologies, di best place wey you fit find beta information na [di Microsoft documentation for docs.com](https://docs.microsoft.com/?WT.mc_id=academic-17441-jabenn). For dis assignment, you go need read di Azure Functions binding documentation to sabi how you go fit set up di output binding.
+
+Some pages wey you fit check to start na:
+
+* [Azure Functions triggers and bindings concepts](https://docs.microsoft.com/azure/azure-functions/functions-triggers-bindings?WT.mc_id=academic-17441-jabenn&tabs=python)
+* [Azure Blob storage bindings for Azure Functions overview](https://docs.microsoft.com/azure/azure-functions/functions-bindings-storage-blob?WT.mc_id=academic-17441-jabenn)
+* [Azure Blob storage output binding for Azure Functions](https://docs.microsoft.com/azure/azure-functions/functions-bindings-storage-blob-output?WT.mc_id=academic-17441-jabenn&tabs=python)
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Configure di blob storage output binding | Fit configure di output binding, return di blob and store am for blob storage successfully | Fit configure di output binding, or return di blob but no fit store am for blob storage successfully | No fit configure di output binding |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translet. Even as we dey try make am correct, abeg make you sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/3-visualize-location-data/README.md b/translations/pcm/3-transport/lessons/3-visualize-location-data/README.md
new file mode 100644
index 000000000..3337e8915
--- /dev/null
+++ b/translations/pcm/3-transport/lessons/3-visualize-location-data/README.md
@@ -0,0 +1,361 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9095c61445c2bca7245ef9b59a186a11",
+  "translation_date": "2025-11-18T19:08:23+00:00",
+  "source_file": "3-transport/lessons/3-visualize-location-data/README.md",
+  "language_code": "pcm"
+}
+-->
+# Visualize location data
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-13.a259db1485021be7d7c72e90842fbe0ab977529e8684c179b5fb1ea75e92b3ef.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis video dey show overview of Azure Maps wit IoT, one service wey we go talk about for dis lesson.
+
+[![Azure Maps - The Microsoft Azure Enterprise Location Platform](https://img.youtube.com/vi/P5i2GFTtb2s/0.jpg)](https://www.youtube.com/watch?v=P5i2GFTtb2s)
+
+> 🎥 Click di image above to watch di video
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/25)
+
+## Introduction
+
+For di last lesson, you don learn how to collect GPS data from your sensors and save am for di cloud inside storage container using serverless code. Now, you go learn how to show di points for Azure map. You go sabi how to create map for web page, learn about GeoJSON data format and how to use am plot all di GPS points wey you collect for your map.
+
+For dis lesson we go talk about:
+
+* [Wetin be data visualization](../../../../../3-transport/lessons/3-visualize-location-data)
+* [Map services](../../../../../3-transport/lessons/3-visualize-location-data)
+* [Create Azure Maps resource](../../../../../3-transport/lessons/3-visualize-location-data)
+* [Show map for web page](../../../../../3-transport/lessons/3-visualize-location-data)
+* [Di GeoJSON format](../../../../../3-transport/lessons/3-visualize-location-data)
+* [Plot GPS data for Map using GeoJSON](../../../../../3-transport/lessons/3-visualize-location-data)
+
+> 💁 Dis lesson go need small HTML and JavaScript. If you wan sabi more about web development using HTML and JavaScript, check [Web development for beginners](https://github.com/microsoft/Web-Dev-For-Beginners).
+
+## Wetin be data visualization
+
+Data visualization na di way wey people dey use show data so e go easy for humans to understand. E dey usually involve charts and graphs, but e fit be any way wey dem dey use pictures represent data to help humans understand di data well and make better decisions.
+
+Make we use one simple example - for di farm project, you collect soil moisture readings. Table of soil moisture data wey dem collect every hour for 1st June 2021 fit look like dis:
+
+| Date             | Reading |
+| ---------------- | ------: |
+| 01/06/2021 00:00 |     257 |
+| 01/06/2021 01:00 |     268 |
+| 01/06/2021 02:00 |     295 |
+| 01/06/2021 03:00 |     305 |
+| 01/06/2021 04:00 |     325 |
+| 01/06/2021 05:00 |     359 |
+| 01/06/2021 06:00 |     398 |
+| 01/06/2021 07:00 |     410 |
+| 01/06/2021 08:00 |     429 |
+| 01/06/2021 09:00 |     451 |
+| 01/06/2021 10:00 |     460 |
+| 01/06/2021 11:00 |     452 |
+| 01/06/2021 12:00 |     420 |
+| 01/06/2021 13:00 |     408 |
+| 01/06/2021 14:00 |     431 |
+| 01/06/2021 15:00 |     462 |
+| 01/06/2021 16:00 |     432 |
+| 01/06/2021 17:00 |     402 |
+| 01/06/2021 18:00 |     387 |
+| 01/06/2021 19:00 |     360 |
+| 01/06/2021 20:00 |     358 |
+| 01/06/2021 21:00 |     354 |
+| 01/06/2021 22:00 |     356 |
+| 01/06/2021 23:00 |     362 |
+
+As human, to understand dis data fit hard. E be like wall of numbers wey no get meaning. Di first step to visualize dis data na to plot am for line chart:
+
+![A line chart of the above data](../../../../../translated_images/chart-soil-moisture.fd6d9d0cdc0b5f75e78038ecb8945dfc84b38851359de99d84b16e3336d6d7c2.pcm.png)
+
+We fit make am better by adding one line wey go show when di automated watering system turn on for soil moisture reading of 450:
+
+![A line chart of soil moisture with a line at 450](../../../../../translated_images/chart-soil-moisture-relay.fbb391236d34a64d0abf1df396e9197e0a24df14150620b9cc820a64a55c9326.pcm.png)
+
+Dis chart dey show quick quick wetin di soil moisture levels be, and di points wey di watering system turn on.
+
+Charts no be di only way to visualize data. IoT devices wey dey track weather fit get web apps or mobile apps wey dey show weather conditions using symbols, like cloud symbol for cloudy days, rain cloud for rainy days and so on. Plenty ways dey to visualize data, some serious, some dey fun.
+
+✅ Think about di ways wey you don see data dey visualized. Which method clear pass and help you make decisions fast?
+
+Di best visualizations na di one wey dey help humans make decisions quick. For example, if you get wall of gauges wey dey show plenty readings from industrial machines, e go hard to process, but if you get flashing red light when something spoil, e go help human make decision. Sometimes di best visualization na flashing light!
+
+When you dey work with GPS data, di clearest visualization fit be to plot di data for map. Map wey dey show delivery trucks fit help workers for processing plant see when trucks go arrive. If di map dey show more than just pictures of trucks for their current locations, but dey give idea of wetin dey inside di truck, di workers for di plant fit plan well - if dem see refrigerated truck dey near, dem go sabi say make dem prepare space for fridge.
+
+## Map services
+
+To work with maps dey interesting, and plenty options dey like Bing Maps, Leaflet, Open Street Maps, and Google Maps. For dis lesson, you go learn about [Azure Maps](https://azure.microsoft.com/services/azure-maps/?WT.mc_id=academic-17441-jabenn) and how e fit show your GPS data.
+
+![The Azure Maps logo](../../../../../translated_images/azure-maps-logo.35d01dcfbd81fe6140e94257aaa1538f785a58c91576d14e0ebe7a2f6c694b99.pcm.png)
+
+Azure Maps na "collection of geospatial services and SDKs wey dey use fresh mapping data to provide geographic context to web and mobile applications." Developers dey get tools to create fine, interactive maps wey fit do things like recommend traffic routes, give info about traffic incidents, indoor navigation, search capabilities, elevation info, weather services and more.
+
+✅ Try some [mapping code samples](https://docs.microsoft.com/samples/browse?WT.mc_id=academic-17441-jabenn&products=azure-maps)
+
+You fit show di maps as blank canvas, tiles, satellite images, satellite images with roads on top, different types of grayscale maps, maps wey dey show elevation, night view maps, and high contrast map. You fit get real-time updates for your maps if you connect am with [Azure Event Grid](https://azure.microsoft.com/services/event-grid/?WT.mc_id=academic-17441-jabenn). You fit control di behavior and look of your maps by enabling controls wey go allow di map react to events like pinch, drag, and click. To control di look of your map, you fit add layers wey include bubbles, lines, polygons, heat maps, and more. Di style of map wey you go use depend on di SDK wey you choose.
+
+You fit access Azure Maps APIs by using di [REST API](https://docs.microsoft.com/javascript/api/azure-maps-rest/?WT.mc_id=academic-17441-jabenn&view=azure-maps-typescript-latest), di [Web SDK](https://docs.microsoft.com/azure/azure-maps/how-to-use-map-control?WT.mc_id=academic-17441-jabenn), or, if you dey build mobile app, di [Android SDK](https://docs.microsoft.com/azure/azure-maps/how-to-use-android-map-control-library?WT.mc_id=academic-17441-jabenn&pivots=programming-language-java-android).
+
+For dis lesson, you go use di web SDK to draw map and show your sensor GPS location path.
+
+## Create Azure Maps resource
+
+Di first step na to create Azure Maps account.
+
+### Task - create Azure Maps resource
+
+1. Run dis command for your Terminal or Command Prompt to create Azure Maps resource for your `gps-sensor` resource group:
+
+    ```sh
+    az maps account create --name gps-sensor \
+                           --resource-group gps-sensor \
+                           --accept-tos \
+                           --sku S1
+    ```
+
+    Dis go create Azure Maps resource wey dem call `gps-sensor`. Di tier wey dem dey use na `S1`, wey be paid tier wey get plenty features, but e get generous amount of free calls.
+
+    > 💁 To see di cost of using Azure Maps, check di [Azure Maps pricing page](https://azure.microsoft.com/pricing/details/azure-maps/?WT.mc_id=academic-17441-jabenn).
+
+1. You go need API key for di maps resource. Use dis command to get di key:
+
+    ```sh
+    az maps account keys list --name gps-sensor \
+                              --resource-group gps-sensor \
+                              --output table
+    ```
+
+    Copy di `PrimaryKey` value.
+
+## Show map for web page
+
+Now you fit take di next step wey be to show your map for web page. We go use just one `html` file for your small web app; remember say for production or team environment, your web app go get more moving parts!
+
+### Task - show map for web page
+
+1. Create file wey dem call index.html for one folder for your local computer. Add HTML markup to hold map:
+
+    ```html
+    <html>
+    <head>
+        <style>
+            #myMap {
+                width:100%;
+                height:100%;
+            }
+        </style>
+    </head>
+    
+    <body onload="init()">
+        <div id="myMap"></div>
+    </body>
+    </html>
+    ```
+
+    Di map go load for di `myMap` `div`. Small styles go allow am cover di width and height of di page.
+
+    > 🎓 `div` na section of web page wey fit get name and style.
+
+1. Under di opening `<head>` tag, add external style sheet to control di map display, and external script from di Web SDK to manage di behavior:
+
+    ```html
+    <link rel="stylesheet" href="https://atlas.microsoft.com/sdk/javascript/mapcontrol/2/atlas.min.css" type="text/css" />
+    <script src="https://atlas.microsoft.com/sdk/javascript/mapcontrol/2/atlas.min.js"></script>
+    ```
+
+    Dis style sheet get di settings for how di map go look, and di script file get code to load di map. To add dis code dey similar to how you dey include C++ header files or import Python modules.
+
+1. Under di script, add script block to launch di map.
+
+    ```javascript
+    <script type='text/javascript'>
+        function init() {
+            var map = new atlas.Map('myMap', {
+                center: [-122.26473, 47.73444],
+                zoom: 12,
+                authOptions: {
+                    authType: "subscriptionKey",
+                    subscriptionKey: "<subscription_key>",
+
+                }
+            });
+        }
+    </script>
+    ```
+
+    Replace `<subscription_key>` with di API key for your Azure Maps account.
+
+    If you open your `index.html` page for web browser, you go see map wey don load, and e go dey focus for Seattle area.
+
+    ![A map showing Seattle, a city in Washington State, USA](../../../../../translated_images/map-image.8fb2c53eb23ef39c1c0a4410a5282e879b3b452b707eb066ff04c5488d3d72b7.pcm.png)
+
+    ✅ Try di zoom and center parameters to change how your map go show. You fit add different coordinates wey match your data latitude and longitude to re-center di map.
+
+> 💁 Better way to work with web apps locally na to install [http-server](https://www.npmjs.com/package/http-server). You go need [node.js](https://nodejs.org/) and [npm](https://www.npmjs.com/) installed before you fit use dis tool. Once you don install di tools, you fit go di location of your `index.html` file and type `http-server`. Di web app go open for local webserver [http://127.0.0.1:8080/](http://127.0.0.1:8080/).
+
+## Di GeoJSON format
+
+Now wey you don set your web app wey dey show map, you need to collect GPS data from your storage account and show am for layer of markers on top di map. Before we do dat, make we look di [GeoJSON](https://wikipedia.org/wiki/GeoJSON) format wey Azure Maps dey need.
+
+[GeoJSON](https://geojson.org/) na open standard JSON specification wey get special formatting wey dey handle geographic-specific data. You fit learn about am by testing sample data using [geojson.io](https://geojson.io), wey also dey useful to debug GeoJSON files.
+
+Sample GeoJSON data dey look like dis:
+
+```json
+{
+  "type": "FeatureCollection",
+  "features": [
+    {
+      "type": "Feature",
+      "geometry": {
+        "type": "Point",
+        "coordinates": [
+          -2.10237979888916,
+          57.164918677004714
+        ]
+      }
+    }
+  ]
+}
+```
+
+Di important part na how di data dey nested as `Feature` inside `FeatureCollection`. Inside dat object, you go see `geometry` wey get `coordinates` wey dey show latitude and longitude.
+
+✅ When you dey build your geoJSON, make sure say you check di order of `latitude` and `longitude` for di object, or your points no go show for where dem suppose dey! GeoJSON dey expect data for di order `lon,lat` for points, no be `lat,lon`.
+`Geometry` fit get different kain types, like one single point or polygon. For dis example, e be point wey get two coordinates wey dem don specify, longitude and latitude.
+
+✅ Azure Maps dey support standard GeoJSON plus some [better features](https://docs.microsoft.com/azure/azure-maps/extend-geojson?WT.mc_id=academic-17441-jabenn) wey include ability to draw circles and other geometries.
+
+## Plot GPS data for Map using GeoJSON
+
+Now you don ready to use data wey dey inside the storage wey you build for the last lesson. Make I remind you, e dey store as plenty files for blob storage so you go need collect the files and arrange am so say Azure Maps fit use the data.
+
+### Task - configure storage make e fit dey accessed from web page
+
+If you try call your storage to collect the data, you fit surprise say error go dey show for your browser console. Na because you need set permission for [CORS](https://developer.mozilla.org/docs/Web/HTTP/CORS) for dis storage so say external web apps fit read the data.
+
+> 🎓 CORS mean "Cross-Origin Resource Sharing" and e dey usually need make you set am for Azure for security reasons. E dey stop sites wey you no expect from accessing your data.
+
+1. Run dis command to enable CORS:
+
+    ```sh
+    az storage cors add --methods GET \
+                        --origins "*" \
+                        --services b \
+                        --account-name <storage_name> \
+                        --account-key <key1>
+    ```
+
+    Change `<storage_name>` to the name of your storage account. Change `<key1>` to the account key for your storage account.
+
+    Dis command go allow any website (the wildcard `*` mean any) to make *GET* request, wey be say collect data, from your storage account. The `--services b` mean make e only apply dis setting for blobs.
+
+### Task - load the GPS data from storage
+
+1. Change the whole content of the `init` function with dis code:
+
+    ```javascript
+    fetch("https://<storage_name>.blob.core.windows.net/gps-data/?restype=container&comp=list")
+        .then(response => response.text())
+        .then(str => new window.DOMParser().parseFromString(str, "text/xml"))
+        .then(xml => {
+            let blobList = Array.from(xml.querySelectorAll("Url"));
+                blobList.forEach(async blobUrl => {
+                    loadJSON(blobUrl.innerHTML)                
+        });
+    })
+    .then( response => {
+        map = new atlas.Map('myMap', {
+            center: [-122.26473, 47.73444],
+            zoom: 14,
+            authOptions: {
+                authType: "subscriptionKey",
+                subscriptionKey: "<subscription_key>",
+    
+            }
+        });
+        map.events.add('ready', function () {
+            var source = new atlas.source.DataSource();
+            map.sources.add(source);
+            map.layers.add(new atlas.layer.BubbleLayer(source));
+            source.add(features);
+        })
+    })
+    ```
+
+    Change `<storage_name>` to the name of your storage account. Change `<subscription_key>` to the API key for your Azure Maps account.
+
+    Plenty things dey happen for here. First, the code dey collect your GPS data from your blob container using one URL endpoint wey dem build with your storage account name. Dis URL dey collect from `gps-data`, wey show say the resource type na container (`restype=container`), and e dey list information about all the blobs. Dis list no go return the blobs themselves, but e go return URL for each blob wey fit dey used to load the blob data.
+
+    > 💁 You fit put dis URL for your browser to see details of all the blobs wey dey your container. Each item go get `Url` property wey you fit also load for your browser to see the content of the blob.
+
+    Dis code go then load each blob, dey call one `loadJSON` function, wey you go create next. E go then create the map control, and add code to the `ready` event. Dis event dey called when the map don show for the web page.
+
+    The ready event go create one Azure Maps data source - one container wey get GeoJSON data wey dem go later put data inside. Dis data source go then dey used to create one bubble layer - wey be set of circles for the map wey dey center for each point for the GeoJSON.
+
+1. Add the `loadJSON` function to your script block, under the `init` function:
+
+    ```javascript
+    var map, features;
+
+    function loadJSON(file) {
+        var xhr = new XMLHttpRequest();
+        features = [];
+        xhr.onreadystatechange = function () {
+            if (xhr.readyState === XMLHttpRequest.DONE) {
+                if (xhr.status === 200) {
+                    gps = JSON.parse(xhr.responseText)
+                    features.push(
+                        new atlas.data.Feature(new atlas.data.Point([parseFloat(gps.gps.lon), parseFloat(gps.gps.lat)]))
+                    )
+                }
+            }
+        };
+        xhr.open("GET", file, true);
+        xhr.send();
+    }    
+    ```
+
+    Dis function dey called by the fetch routine to arrange the JSON data and change am so say e fit dey read as longitude and latitude coordinates as geoJSON.
+    Once dem don arrange am, the data go dey set as part of geoJSON `Feature`. The map go dey initialized and small bubbles go show for the path wey your data dey plot:
+
+1. Load the HTML page for your browser. E go load the map, then e go load all the GPS data from storage and plot am for the map.
+
+    ![A map of Saint Edward State Park near Seattle, with circles showing a path around the edge of the park](../../../../../translated_images/map-path.896832e72dc696ffe20650e4051027d4855442d955f93fdbb80bb417ca8a406f.pcm.png)
+
+> 💁 You fit find dis code for the [code](../../../../../3-transport/lessons/3-visualize-location-data/code) folder.
+
+---
+
+## 🚀 Challenge
+
+E sweet to fit show static data for map as markers. You fit try improve dis web app to add animation and show the path of the markers over time, using the timestamped json files? Here be [some samples](https://azuremapscodesamples.azurewebsites.net/) of how to use animation inside maps.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/26)
+
+## Review & Self Study
+
+Azure Maps dey very useful for working with IoT devices.
+
+* Check some of the uses for the [Azure Maps documentation on Microsoft docs](https://docs.microsoft.com/azure/azure-maps/tutorial-iot-hub-maps?WT.mc_id=academic-17441-jabenn).
+* Learn more about map making and waypoints with the [create your first route finding app with Azure Maps self-guided learning module on Microsoft Learn](https://docs.microsoft.com/learn/modules/create-your-first-app-with-azure-maps/?WT.mc_id=academic-17441-jabenn).
+
+## Assignment
+
+[Deploy your app](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translet. Even as we dey try make am correct, abeg sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make professional human translet am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/3-visualize-location-data/assignment.md b/translations/pcm/3-transport/lessons/3-visualize-location-data/assignment.md
new file mode 100644
index 000000000..b5ff05a2e
--- /dev/null
+++ b/translations/pcm/3-transport/lessons/3-visualize-location-data/assignment.md
@@ -0,0 +1,29 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "0ccdc1faa676a485c4c6ecbddb9f9067",
+  "translation_date": "2025-11-18T19:09:31+00:00",
+  "source_file": "3-transport/lessons/3-visualize-location-data/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Deploy your app
+
+## Instructions
+
+Plenty ways dey wey you fit take deploy your app so you fit share am with di world, like to use GitHub pages or use one of di many service providers. One beta way to do am na to use Azure Static Web Apps. For dis assignment, build your web app and deploy am for di cloud by following [dis instructions](https://github.com/Azure/static-web-apps-cli) or watch [dis videos](https://www.youtube.com/watch?v=ADVGIXciYn8&list=PLlrxD0HtieHgMPeBaDQFx9yNuFxx6S1VG&index=3). 
+
+One benefit wey dey for Azure Static Web Apps na say you fit hide any API keys for di portal, so use dis chance take refactor your subscriptionKey as variable and store am for di cloud.
+
+## Rubric
+
+| Criteria | Exemplary                                                                                                                               | Adequate                                                                                                            | Needs Improvement                                   |
+| -------- | --------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------- |
+|          | Di web app dey work well and e dey for documented GitHub repository, subscriptionKey dey store for di cloud and e dey call am via variable | Di web app dey work well and e dey for documented GitHub repository but subscriptionKey no dey store for di cloud | Di web app get bugs or e no dey work well |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translet. Even as we dey try make am correct, abeg make you sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/3-transport/lessons/4-geofences/README.md b/translations/pcm/3-transport/lessons/4-geofences/README.md
new file mode 100644
index 000000000..36976ff79
--- /dev/null
+++ b/translations/pcm/3-transport/lessons/4-geofences/README.md
@@ -0,0 +1,490 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "078ae664c7b686bf069545e9a5fc95b2",
+  "translation_date": "2025-11-18T19:02:01+00:00",
+  "source_file": "3-transport/lessons/4-geofences/README.md",
+  "language_code": "pcm"
+}
+-->
+# Geofences
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-14.63980c5150ae3c153e770fb71d044c1845dce79248d86bed9fc525adf3ede73c.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis video dey show wetin geofences be and how you fit use dem for Azure Maps, na di topics wey dis lesson go cover:
+
+[![Geofencing with Azure Maps from the Microsoft Developer IoT show](https://img.youtube.com/vi/nsrgYhaYNVY/0.jpg)](https://www.youtube.com/watch?v=nsrgYhaYNVY)
+
+> 🎥 Click di image above to watch di video
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/27)
+
+## Introduction
+
+For di last 3 lessons, you don use IoT track di trucks wey dey carry your farm produce go processing hub. You don collect GPS data, send am go cloud to store, and show am for map. Di next step to make your supply chain better na to get alert wen truck dey near di processing hub, so dat di crew wey go offload go ready with forklifts and other equipment as di truck land. Dis way, dem go offload fast, and you no go dey pay truck and driver to dey wait.
+
+For dis lesson, you go learn about geofences - defined geospatial areas like di area wey dey 2km drive from di processing hub, and how to test if GPS coordinates dey inside or outside di geofence, so you fit know if your GPS sensor don reach or commot di area.
+
+Dis lesson go cover:
+
+* [Wetin be geofences](../../../../../3-transport/lessons/4-geofences)
+* [Define geofence](../../../../../3-transport/lessons/4-geofences)
+* [Test points against geofence](../../../../../3-transport/lessons/4-geofences)
+* [Use geofences from serverless code](../../../../../3-transport/lessons/4-geofences)
+
+> 🗑 Dis na di last lesson for dis project, so after you finish dis lesson and di assignment, no forget to clean up your cloud services. You go need di services to finish di assignment, so make sure say you complete am first.
+>
+> Check [di clean up your project guide](../../../clean-up.md) if you need instructions on how to do am.
+
+## Wetin be Geofences
+
+Geofence na virtual boundary for real-world geographic area. Geofences fit be circle wey dem define as point and radius (like circle wey wide 100m around one building), or polygon wey cover area like school zone, city limits, or university or office campus.
+
+![Some geofence examples showing a circular geofence around the Microsoft company store, and a polygon geofence around the Microsoft west campus](../../../../../translated_images/geofence-examples.172fbc534665769f6e1a1ddcf75e3b25183cd10354c80cc603ba44b635390e1a.pcm.png)
+
+> 💁 You fit don use geofences before and no know. If you don set reminder with iOS reminders app or Google Keep based on location, you don use geofence. Dis apps go set geofence based on di location wey you give and alert you wen your phone enter di geofence.
+
+Plenty reasons dey why you go wan know if vehicle dey inside or outside geofence:
+
+* Preparation for offloading - notification say vehicle don land go help crew ready to offload di vehicle, reduce waiting time. Dis fit make driver deliver more in one day without plenty waiting.
+* Tax compliance - some countries like New Zealand dey charge road tax for diesel vehicles based on di weight wen dem dey drive for public roads only. Geofences fit help track mileage for public roads versus private roads like farms or logging areas.
+* Monitoring theft - if vehicle suppose dey one area like farm, and e commot di geofence, e fit mean say dem don thief am.
+* Location compliance - some parts of work site, farm or factory fit dey off-limits to some vehicles, like keeping vehicles wey carry artificial fertilizers and pesticides away from fields wey dey grow organic produce. If vehicle enter geofence, e mean say e no dey comply and driver fit get notification.
+
+✅ You fit think of other ways to use geofences?
+
+Azure Maps, di service wey you use for di last lesson to show GPS data, fit help you define geofences, then test if point dey inside or outside di geofence.
+
+## Define geofence
+
+Geofences dey defined using GeoJSON, same way as di points wey dem add to map for di last lesson. For dis case, instead of `FeatureCollection` of `Point` values, e go be `FeatureCollection` wey get `Polygon`.
+
+```json
+{
+   "type": "FeatureCollection",
+   "features": [
+     {
+       "type": "Feature",
+       "geometry": {
+         "type": "Polygon",
+         "coordinates": [
+           [
+             [
+               -122.13393688201903,
+               47.63829579223815
+             ],
+             [
+               -122.13389128446579,
+               47.63782047131512
+             ],
+             [
+               -122.13240802288054,
+               47.63783312249837
+             ],
+             [
+               -122.13238388299942,
+               47.63829037035086
+             ],
+             [
+               -122.13393688201903,
+               47.63829579223815
+             ]
+           ]
+         ]
+       },
+       "properties": {
+         "geometryId": "1"
+       }
+     }
+   ]
+}
+```
+
+Each point for di polygon dey defined as longitude, latitude pair inside array, and di points dey inside array wey dem set as `coordinates`. For `Point` for di last lesson, di `coordinates` na array wey get 2 values, latitude and longitude. For `Polygon`, e dey be array of arrays wey get 2 values, longitude, latitude.
+
+> 💁 Remember, GeoJSON dey use `longitude, latitude` for points, no be `latitude, longitude`
+
+Di polygon coordinates array go always get 1 extra entry pass di number of points for di polygon, di last entry go be same as di first one, to close di polygon. For example, rectangle go get 5 points.
+
+![A rectangle with coordinates](../../../../../translated_images/polygon-points.302193da381cb415f46c2c7a98496ee4be05d6c73d21238a89721ad93e121233.pcm.png)
+
+For di image above, di rectangle polygon coordinates start for top-left at 47,-122, then e go right to 47,-121, then e go down to 46,-121, then e go left to 46, -122, then e go back up to di start point at 47, -122. Dis go give di polygon 5 points - top-left, top-right, bottom-right, bottom-left, then top-left to close am.
+
+✅ Try create GeoJSON polygon around your house or school. Use tool like [GeoJSON.io](https://geojson.io/).
+
+### Task - define geofence
+
+To use geofence for Azure Maps, first you go upload am to your Azure Maps account. Once you upload am, you go get unique ID wey you fit use test point against di geofence. To upload geofences to Azure Maps, you go need use maps web API. You fit call Azure Maps web API with tool wey dem call [curl](https://curl.se).
+
+> 🎓 Curl na command line tool wey dey make requests to web endpoints
+
+1. If you dey use Linux, macOS, or recent Windows 10 version, you fit don get curl installed already. Run dis command for your terminal or command line to check:
+
+    ```sh
+    curl --version
+    ```
+
+    If you no see version info for curl, you go need install am from [curl downloads page](https://curl.se/download.html).
+
+    > 💁 If you sabi Postman, you fit use am instead if you like.
+
+1. Create GeoJSON file wey get polygon. You go test dis with your GPS sensor, so create polygon around your current location. You fit create am manually by editing di GeoJSON example wey dem give above, or use tool like [GeoJSON.io](https://geojson.io/).
+
+    Di GeoJSON go need contain `FeatureCollection`, wey get `Feature` with `geometry` wey be type `Polygon`.
+
+    You **MUST** also add `properties` element for di same level as di `geometry` element, and dis one go need contain `geometryId`:
+
+    ```json
+    "properties": {
+        "geometryId": "1"
+    }
+    ```
+
+    If you dey use [GeoJSON.io](https://geojson.io/), you go need manually add dis item to di empty `properties` element, either after you download di JSON file, or for di JSON editor for di app.
+
+    Dis `geometryId` go need dey unique for dis file. You fit upload plenty geofences as plenty `Features` for di `FeatureCollection` for di same GeoJSON file, as long as each one get different `geometryId`. Polygons fit get same `geometryId` if dem upload am from different file at different time.
+
+1. Save dis file as `geofence.json`, and go where you save am for your terminal or console.
+
+1. Run dis curl command to create di GeoFence:
+
+    ```sh
+    curl --request POST 'https://atlas.microsoft.com/mapData/upload?api-version=1.0&dataFormat=geojson&subscription-key=<subscription_key>' \
+         --header 'Content-Type: application/json' \
+         --include \
+         --data @geofence.json
+    ```
+
+    Replace `<subscription_key>` for di URL with di API key for your Azure Maps account.
+
+    Di URL dey upload map data via di `https://atlas.microsoft.com/mapData/upload` API. Di call get `api-version` parameter to specify which Azure Maps API to use, dis na to allow di API change over time but still dey backward compatible. Di data format wey dem upload na `geojson`.
+
+    Dis go run di POST request to di upload API and return list of response headers wey get header wey dem call `location`
+
+    ```output
+    content-type: application/json
+    location: https://us.atlas.microsoft.com/mapData/operations/1560ced6-3a80-46f2-84b2-5b1531820eab?api-version=1.0
+    x-ms-azuremaps-region: West US 2
+    x-content-type-options: nosniff
+    strict-transport-security: max-age=31536000; includeSubDomains
+    x-cache: CONFIG_NOCACHE
+    date: Sat, 22 May 2021 21:34:57 GMT
+    content-length: 0
+    ```
+
+    > 🎓 Wen you dey call web endpoint, you fit pass parameters to di call by adding `?` followed by key value pairs as `key=value`, separate di key value pairs with `&`.
+
+1. Azure Maps no dey process dis immediately, so you go need check if di upload request don finish by using di URL wey dem give for di `location` header. Make GET request to dis location to see di status. You go need add your subscription key to di end of di `location` URL by adding `&subscription-key=<subscription_key>` to di end, replace `<subscription_key>` with di API key for your Azure Maps account. Run dis command:
+
+    ```sh
+    curl --request GET '<location>&subscription-key=<subscription_key>'
+    ```
+
+    Replace `<location>` with di value of di `location` header, and `<subscription_key>` with di API key for your Azure Maps account.
+
+1. Check di value of `status` for di response. If e no be `Succeeded`, wait one minute and try again.
+
+1. Once di status show `Succeeded`, check di `resourceLocation` for di response. Dis one get details of di unique ID (UDID) for di GeoJSON object. Di UDID na di value after `metadata/`, and no include di `api-version`. For example, if di `resourceLocation` be:
+
+    ```json
+    {
+      "resourceLocation": "https://us.atlas.microsoft.com/mapData/metadata/7c3776eb-da87-4c52-ae83-caadf980323a?api-version=1.0"
+    }
+    ```
+
+    Di UDID go be `7c3776eb-da87-4c52-ae83-caadf980323a`.
+
+    Keep copy of dis UDID as you go need am to test di geofence.
+
+## Test points against geofence
+
+Once di polygon don upload to Azure Maps, you fit test point to see if e dey inside or outside di geofence. You go do dis by making web API request, pass di UDID of di geofence, and di latitude and longitude of di point wey you wan test.
+
+Wen you dey make dis request, you fit also pass value wey dem call `searchBuffer`. Dis one dey tell Maps API how accurate e go dey wen e dey return results. Di reason na say GPS no dey perfectly accurate, and sometimes location fit dey off by meters or more. Di default for search buffer na 50m, but you fit set values from 0m to 500m.
+
+Wen results return from di API call, one part of di result na `distance` wey dem measure to di closest point for di edge of di geofence, with positive value if di point dey outside di geofence, negative if e dey inside di geofence. If dis distance dey less than di search buffer, di actual distance go return for meters, otherwise di value go be 999 or -999. 999 mean say di point dey outside di geofence pass di search buffer, -999 mean say e dey inside di geofence pass di search buffer.
+
+![A geofence with a 50m search buffer around in](../../../../../translated_images/search-buffer-and-distance.e6a79af3898183c7b2ef6fbf12271b8b34afd23969bb946962b1b18d3d2635e8.pcm.png)
+
+For di image above, di geofence get 50m search buffer.
+
+* Point for di center of di geofence, well inside di search buffer get distance of **-999**
+* Point well outside di search buffer get distance of **999**
+* Point inside di geofence and inside di search buffer, 6m from di geofence, get distance of **6m**
+* Point outside di geofence and inside di search buffer, 39m from di geofence, get distance of **39m**
+
+E dey important to know di distance to di edge of di geofence, and combine am with other info like other GPS readings, speed and road data wen you dey make decisions based on vehicle location.
+
+For example, imagine GPS readings dey show say vehicle dey drive for road wey dey near geofence. If one GPS value no dey accurate and e place di vehicle inside di geofence, even though road no dey enter, you fit ignore am.
+
+![A GPS trail showing a vehicle passing the Microsoft campus on the 520, with GPS readings along the road except for one on the campus, inside a geofence](../../../../../translated_images/geofence-crossing-inaccurate-gps.6a3ed911202ad9cabb66d3964888cec03a42c61d5b8f536ad5bdc99716b370f5.pcm.png)
+For di image wey dey up dia, e get one geofence wey dey cover part of Microsoft campus. Di red line dey show one truck wey dey drive for 520, wit circles wey dey show di GPS readings. Most of di readings dey correct and dey follow di 520, but one reading no dey correct as e dey inside di geofence. E no possible say dat reading dey correct - no road dey wey di truck fit suddenly divert from di 520 enter campus, then go back to di 520. Di code wey dey check dis geofence go need to look di previous readings before e go act based on di result of di geofence test.
+
+✅ Wetin extra data you go need check to confirm if GPS reading fit dey correct?
+
+### Task - test points against geofence
+
+1. Start by building di URL for di web API query. Di format na:
+
+    ```output
+    https://atlas.microsoft.com/spatial/geofence/json?api-version=1.0&deviceId=gps-sensor&subscription-key=<subscription-key>&udid=<UDID>&lat=<lat>&lon=<lon>
+    ```
+
+    Replace `<subscription_key>` wit di API key for your Azure Maps account.
+
+    Replace `<UDID>` wit di UDID of di geofence from di previous task.
+
+    Replace `<lat>` and `<lon>` wit di latitude and longitude wey you wan test.
+
+    Dis URL dey use di `https://atlas.microsoft.com/spatial/geofence/json` API to query geofence wey dem define wit GeoJSON. E dey target di `1.0` API version. Di `deviceId` parameter na compulsory and e suppose be di name of di device wey di latitude and longitude dey come from.
+
+    Di default search buffer na 50m, and you fit change am by passing extra parameter of `searchBuffer=<distance>`, wey go set `<distance>` to di search buffer distance in meters, from 0 to 500.
+
+1. Use curl to make GET request to dis URL:
+
+    ```sh
+    curl --request GET '<URL>'
+    ```
+
+    > 💁 If you get response code of `BadRequest`, wit error wey be:
+    >
+    > ```output
+    > Invalid GeoJSON: All feature properties should contain a geometryId, which is used for identifying the geofence.
+    > ```
+    >
+    > E mean say your GeoJSON no get di `properties` section wit di `geometryId`. You go need fix di GeoJSON, then repeat di steps wey dey up to re-upload and get new UDID.
+
+1. Di response go contain list of `geometries`, one for each polygon wey dey di GeoJSON wey dem use create di geofence. Each geometry get 3 fields wey dey important, `distance`, `nearestLat` and `nearestLon`.
+
+    ```output
+    {
+        "geometries": [
+            {
+                "deviceId": "gps-sensor",
+                "udId": "7c3776eb-da87-4c52-ae83-caadf980323a",
+                "geometryId": "1",
+                "distance": 999.0,
+                "nearestLat": 47.645875,
+                "nearestLon": -122.142713
+            }
+        ],
+        "expiredGeofenceGeometryId": [],
+        "invalidPeriodGeofenceGeometryId": []
+    }
+    ```
+
+    * `nearestLat` and `nearestLon` na di latitude and longitude of one point for di edge of di geofence wey dey closest to di location wey dem dey test.
+
+    * `distance` na di distance from di location wey dem dey test to di closest point for di edge of di geofence. Negative numbers mean say e dey inside di geofence, positive mean outside. Dis value go dey less than 50 (di default search buffer), or 999.
+
+1. Repeat dis multiple times wit locations wey dey inside and outside di geofence.
+
+## Use geofences from serverless code
+
+You fit now add new trigger to your Functions app to test di IoT Hub GPS event data against di geofence.
+
+### Consumer groups
+
+As you go remember from di previous lessons, di IoT Hub go allow you replay events wey dem don receive but never process. But wetin go happen if multiple triggers connect? How e go know which one don process which events?
+
+Di answer na e no fit! Instead, you fit define multiple separate connections to read di events, and each one go manage di replay of unread messages. Dem dey call dis *consumer groups*. When you connect to di endpoint, you fit specify which consumer group you wan connect to. Each component of your application go connect to different consumer group.
+
+![One IoT Hub wit 3 consumer groups wey dey share di same messages to 3 different functions apps](../../../../../translated_images/consumer-groups.a3262e26fc27ba2092863678ad57af15c7223416e388a23f330c058cf4358630.pcm.png)
+
+For theory, up to 5 applications fit connect to each consumer group, and dem go all receive messages when dem arrive. E dey best to make sure say only one application dey access each consumer group to avoid duplicate message processing, and make sure say when you restart, all di queued messages go process well. For example, if you launch your Functions app locally as well as dey run am for di cloud, dem go both process messages, wey go lead to duplicate blobs wey dem store for di storage account.
+
+If you check di `function.json` file for di IoT Hub trigger wey you create for di earlier lesson, you go see di consumer group for di event hub trigger binding section:
+
+```json
+"consumerGroup": "$Default"
+```
+
+When you create IoT Hub, you go get di `$Default` consumer group wey dem create by default. If you wan add extra trigger, you fit add am using new consumer group.
+
+> 💁 For dis lesson, you go use different function to test di geofence from di one wey dem use store di GPS data. Dis na to show how to use consumer groups and separate di code to make am easy to read and understand. For production application, e get many ways wey you fit architect am - put di two for one function, use trigger for di storage account to run function to check di geofence, or use multiple functions. No 'correct way' dey, e depend on di rest of your application and wetin you need.
+
+### Task - create new consumer group
+
+1. Run di command wey dey below to create new consumer group wey dem call `geofence` for your IoT Hub:
+
+    ```sh
+    az iot hub consumer-group create --name geofence \
+                                     --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` wit di name wey you use for your IoT Hub.
+
+1. If you wan see all di consumer groups for IoT Hub, run di command wey dey below:
+
+    ```sh
+    az iot hub consumer-group list --output table \
+                                   --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` wit di name wey you use for your IoT Hub. Dis go list all di consumer groups.
+
+    ```output
+    Name      ResourceGroup
+    --------  ---------------
+    $Default  gps-sensor
+    geofence  gps-sensor
+    ```
+
+> 💁 When you run di IoT Hub event monitor for di earlier lesson, e connect to di `$Default` consumer group. Na why you no fit run di event monitor and event trigger. If you wan run di two, then you fit use other consumer groups for all your function apps, and keep `$Default` for di event monitor.
+
+### Task - create new IoT Hub trigger
+
+1. Add new IoT Hub event trigger to your `gps-trigger` function app wey you create for di earlier lesson. Call dis function `geofence-trigger`.
+
+    > ⚠️ You fit check [di instructions for creating IoT Hub event trigger from project 2, lesson 5 if you need am](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#create-an-iot-hub-event-trigger).
+
+1. Configure di IoT Hub connection string for di `function.json` file. Di `local.settings.json` dey share between all triggers for di Function App.
+
+1. Update di value of di `consumerGroup` for di `function.json` file to reference di new `geofence` consumer group:
+
+    ```json
+    "consumerGroup": "geofence"
+    ```
+
+1. You go need use di subscription key for your Azure Maps account for dis trigger, so add new entry to di `local.settings.json` file wey dem call `MAPS_KEY`.
+
+1. Run di Functions App to make sure say e dey connect and dey process messages. Di `iot-hub-trigger` from di earlier lesson go also run and upload blobs to storage.
+
+    > To avoid duplicate GPS readings for blob storage, you fit stop di Functions App wey you dey run for di cloud. To do dis, use di command wey dey below:
+    >
+    > ```sh
+    > az functionapp stop --resource-group gps-sensor \
+    >                     --name <functions_app_name>
+    > ```
+    >
+    > Replace `<functions_app_name>` wit di name wey you use for your Functions App.
+    >
+    > You fit restart am later wit di command wey dey below:
+    >
+    > ```sh
+    > az functionapp start --resource-group gps-sensor \
+    >                     --name <functions_app_name>
+    > ```
+    >
+    > Replace `<functions_app_name>` wit di name wey you use for your Functions App.
+
+### Task - test di geofence from di trigger
+
+For di earlier part of dis lesson, you use curl to query geofence to see if point dey inside or outside. You fit make similar web request from inside your trigger.
+
+1. To query di geofence, you need di UDID. Add new entry to di `local.settings.json` file wey dem call `GEOFENCE_UDID` wit dis value.
+
+1. Open di `__init__.py` file from di new `geofence-trigger` trigger.
+
+1. Add di import wey dey below to di top of di file:
+
+    ```python
+    import json
+    import os
+    import requests
+    ```
+
+    Di `requests` package dey allow you make web API calls. Azure Maps no get Python SDK, you go need make web API calls to use am from Python code.
+
+1. Add di 2 lines wey dey below to di start of di `main` method to get di Maps subscription key:
+
+    ```python
+    maps_key = os.environ['MAPS_KEY']
+    geofence_udid = os.environ['GEOFENCE_UDID']    
+    ```
+
+1. Inside di `for event in events` loop, add di code wey dey below to get di latitude and longitude from each event:
+
+    ```python
+    event_body = json.loads(event.get_body().decode('utf-8'))
+    lat = event_body['gps']['lat']
+    lon = event_body['gps']['lon']
+    ```
+
+    Dis code dey convert di JSON from di event body to dictionary, then e dey extract di `lat` and `lon` from di `gps` field.
+
+1. When you dey use `requests`, instead of building long URL like you do wit curl, you fit use just di URL part and pass di parameters as dictionary. Add di code wey dey below to define di URL to call and configure di parameters:
+
+    ```python
+    url = 'https://atlas.microsoft.com/spatial/geofence/json'
+
+    params = {
+        'api-version': 1.0,
+        'deviceId': 'gps-sensor',
+        'subscription-key': maps_key,
+        'udid' : geofence_udid,
+        'lat' : lat,
+        'lon' : lon
+    }
+    ```
+
+    Di items for di `params` dictionary go match di key value pairs wey you use when you dey call di web API wit curl.
+
+1. Add di lines of code wey dey below to call di web API:
+
+    ```python
+    response = requests.get(url, params=params)
+    response_body = json.loads(response.text)
+    ```
+
+    Dis dey call di URL wit di parameters, and e dey get back response object.
+
+1. Add di code wey dey below under dis:
+
+    ```python
+    distance = response_body['geometries'][0]['distance']
+
+    if distance == 999:
+        logging.info('Point is outside geofence')
+    elif distance > 0:
+        logging.info(f'Point is just outside geofence by a distance of {distance}m')
+    elif distance == -999:
+        logging.info(f'Point is inside geofence')
+    else:
+        logging.info(f'Point is just inside geofence by a distance of {distance}m')
+    ```
+
+    Dis code dey assume 1 geometry, and e dey extract di distance from dat single geometry. E go log different messages based on di distance.
+
+1. Run dis code. You go see for di logging output if di GPS coordinates dey inside or outside di geofence, wit distance if di point dey within 50m. Try dis code wit different geofences based on di location of your GPS sensor, try move di sensor (like tethered to WiFi from mobile phone, or wit different coordinates for di virtual IoT device) to see di change.
+
+1. When you ready, deploy dis code to your Functions app for di cloud. No forget to deploy di new Application Settings.
+
+    > ⚠️ You fit check [di instructions for uploading Application Settings from project 2, lesson 5 if you need am](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#task---upload-your-application-settings).
+
+    > ⚠️ You fit check [di instructions for deploying your Functions app from project 2, lesson 5 if you need am](../../../2-farm/lessons/5-migrate-application-to-the-cloud/README.md#task---deploy-your-functions-app-to-the-cloud).
+
+> 💁 You fit find dis code for di [code/functions](../../../../../3-transport/lessons/4-geofences/code/functions) folder.
+
+---
+
+## 🚀 Challenge
+
+For dis lesson, you add one geofence using GeoJSON file wit single polygon. You fit upload multiple polygons at di same time, as long as dem get different `geometryId` values for di `properties` section.
+
+Try upload GeoJSON file wit multiple polygons and adjust your code to find which polygon di GPS coordinates dey closest to or dey inside.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/28)
+
+## Review & Self Study
+
+* Read more about geofences and di use cases for di [Geofencing page for Wikipedia](https://en.wikipedia.org/wiki/Geo-fence).
+* Read more about Azure Maps geofencing API for di [Microsoft Azure Maps Spatial - Get Geofence documentation](https://docs.microsoft.com/rest/api/maps/spatial/getgeofence?WT.mc_id=academic-17441-jabenn).
+* Read more about consumer groups for di [Features and terminology for Azure Event Hubs - Event consumers documentation for Microsoft docs](https://docs.microsoft.com/azure/event-hubs/event-hubs-features?WT.mc_id=academic-17441-jabenn#event-consumers).
+
+## Assignment
+
+[Send notifications using Twilio](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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+<!--
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+  "source_file": "3-transport/lessons/4-geofences/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Send notifications using Twilio
+
+## Instructions
+
+For di code wey you don write so far, you just dey log di distance to di geofence. For dis assignment, you go need add notification, either text message or email, wen di GPS coordinates dey inside di geofence.
+
+Azure Functions get plenty options for bindings, including third-party services like Twilio, wey be communication platform.
+
+* Sign up for free account for [Twilio.com](https://www.twilio.com)
+* Read di documentation on how to bind Azure Functions to Twilio SMS for di [Microsoft docs Twilio binding for Azure Functions page](https://docs.microsoft.com/azure/azure-functions/functions-bindings-twilio?WT.mc_id=academic-17441-jabenn&tabs=python).
+* Read di documentation on how to bind Azure Functions to Twilio SendGrid to send emails for di [Microsoft docs Azure Functions SendGrid bindings page](https://docs.microsoft.com/azure/azure-functions/functions-bindings-sendgrid?WT.mc_id=academic-17441-jabenn&tabs=python).
+* Add di binding to your Functions app so you fit get notification wen di GPS coordinates dey either inside or outside di geofence - but no do both.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Configure di functions bindings and receive email or SMS | You fit configure di functions bindings and receive email or SMS wen di coordinates dey inside or outside di geofence, but no do both | You fit configure di bindings but you no fit send di email or SMS, or you only fit send wen di coordinates dey both inside and outside | You no fit configure di bindings and send email or SMS |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for di native language na di main source wey you go trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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+<!--
+CO_OP_TRANSLATOR_METADATA:
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+  "source_file": "4-manufacturing/README.md",
+  "language_code": "pcm"
+}
+-->
+# Manufacturing and processing - how IoT fit help make food processing beta
+
+Wen food don reach central hub or processing plant, e no dey always just waka go supermarket. Many times, dem dey process di food first, like to sort am by quality. Before-before, na manual work dem dey do - e go start for farm wen di pickers go dey pick only ripe fruit, den for factory di fruit go dey move for conveyer belt and workers go dey use hand remove any fruit wey don spoil or get bruise. I don pick and sort strawberry before as summer job wen I dey school, so I fit talk say dis work no sweet at all.
+
+Di modern way now na to use IoT for sorting. Some of di first devices like di sorters wey [Weco](https://wecotek.com) get dey use optical sensors to check di quality of di produce, like to reject green tomatoes. Dis kind machine fit dey inside harvesters for farm or for processing plants.
+
+As Artificial Intelligence (AI) and Machine Learning (ML) dey improve, di machines dey get more sense. Dem fit use ML models wey dem don train to sabi di difference between fruit and foreign objects like stone, sand or insect. Di models fit also sabi check di quality of di fruit, no be only bruised fruit but even early signs of disease or other crop wahala.
+
+> 🎓 Di word *ML model* mean di result wey you go get after you don train machine learning software with data. For example, you fit train ML model to sabi di difference between ripe and unripe tomatoes, den use di model check new images to know if di tomatoes don ripe or never ripe.
+
+For dis 4 lessons, you go learn how to train AI models wey dey use image to check fruit quality, how to use dem with IoT device, and how to run dem for di edge - dat one mean to run am for IoT device instead of di cloud.
+
+> 💁 Dis lessons go use some cloud resources. If you no finish all di lessons for dis project, make sure say you [clean up your project](../clean-up.md).
+
+## Topics
+
+1. [Train fruit quality detector](./lessons/1-train-fruit-detector/README.md)
+1. [Check fruit quality from IoT device](./lessons/2-check-fruit-from-device/README.md)
+1. [Run your fruit detector for di edge](./lessons/3-run-fruit-detector-edge/README.md)
+1. [Trigger fruit quality detection from sensor](./lessons/4-trigger-fruit-detector/README.md)
+
+## Credits
+
+All di lessons na [Jen Fox](https://github.com/jenfoxbot) and [Jim Bennett](https://GitHub.com/JimBobBennett) write am with ♥️.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg sabi say automated translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main correct source. For important information, e go beta make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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+<!--
+CO_OP_TRANSLATOR_METADATA:
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+  "translation_date": "2025-11-18T18:56:37+00:00",
+  "source_file": "4-manufacturing/lessons/1-train-fruit-detector/README.md",
+  "language_code": "pcm"
+}
+-->
+# Train fruit quality detector
+
+![Overview of dis lesson](../../../../../translated_images/lesson-15.843d21afdc6fb2bba70cd9db7b7d2f91598859fafda2078b0bdc44954194b6c0.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis video go show wetin Azure Custom Vision service fit do, na di service wey we go talk about for dis lesson.
+
+[![Custom Vision – Machine Learning Made Easy | The Xamarin Show](https://img.youtube.com/vi/TETcDLJlWR4/0.jpg)](https://www.youtube.com/watch?v=TETcDLJlWR4)
+
+> 🎥 Click di image above to watch di video
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/29)
+
+## Introduction
+
+Di way Artificial Intelligence (AI) and Machine Learning (ML) dey grow fast, e dey give developers plenty new things wey dem fit do. ML models fit learn how to sabi different tins for pictures, like fruit wey never ripe, and dis one fit help IoT devices sort food as dem dey harvest am or as e dey process for factory or warehouse.
+
+For dis lesson, you go learn about image classification - how ML models fit sabi di difference between pictures of different tins. You go learn how to train image classifier wey go sabi di difference between fruit wey good and di one wey bad, like fruit wey don spoil, bruised, or never ripe.
+
+For dis lesson we go talk about:
+
+* [How AI and ML dey help sort food](../../../../../4-manufacturing/lessons/1-train-fruit-detector)
+* [Image classification with Machine Learning](../../../../../4-manufacturing/lessons/1-train-fruit-detector)
+* [How to train image classifier](../../../../../4-manufacturing/lessons/1-train-fruit-detector)
+* [How to test your image classifier](../../../../../4-manufacturing/lessons/1-train-fruit-detector)
+* [How to retrain your image classifier](../../../../../4-manufacturing/lessons/1-train-fruit-detector)
+
+## Using AI and ML to sort food
+
+To feed di whole world no easy, especially to make food cheap for everybody. One big cost na labor, so farmers dey use automation and IoT tools to reduce di money wey dem dey spend on labor. To harvest food by hand na hard work (and e dey break back), so richer countries dey use machine to do am. But di problem be say di machine no fit sort di food as e dey harvest am.
+
+No be all crops dey ripe at di same time. For example, tomatoes fit still get green ones for di vine when di rest don ready to harvest. E dey wasteful to harvest di green ones, but e dey cheaper and easier for di farmer to harvest everything with machine and later throway di ones wey never ripe.
+
+✅ Check di fruits or vegetables wey dey grow near you for farm, garden, or shop. Dem dey ripe at di same time or you dey see difference?
+
+As machine dey harvest food, di sorting work don move go factory. Food go dey pass conveyor belt wey people go dey remove di ones wey no good. Machine dey make harvesting cheaper, but di sorting still dey cost money.
+
+![If machine see red tomato, e go leave am. If e see green tomato, e go push am enter waste bin](../../../../../translated_images/optical-tomato-sorting.61aa134bdda4e5b1bfb16a212c1e35a6ef0c426cbb8b1c975f79d7bfbf48d068.pcm.png)
+
+Di next level na machine wey dey sort food, either for di harvester or di factory. Di first type of dis machine dey use optical sensor to check color, then e go use lever or air to push green tomatoes enter waste bin, while red tomatoes go continue for conveyor belt.
+
+For dis video, as tomatoes dey fall from one conveyor belt to another, di machine go see di green ones and push dem enter bin.
+
+✅ Wetin you think say factory or farm need make dis optical sensor work well?
+
+Di latest type of sorting machine dey use AI and ML. Dem dey train di model to sabi di difference between good and bad food, not just by color like green vs red tomatoes, but by di small small difference wey fit show disease or bruising.
+
+## Image classification via Machine Learning
+
+Traditional programming na when you use data, apply algorithm, and get result. For example, for di last project, you use GPS coordinates and geofence, apply Azure Maps algorithm, and e tell you if di point dey inside or outside di geofence. You put more data, you get more result.
+
+![Traditional development dey use input and algorithm to get output. Machine learning dey use input and output data to train model, and di model fit use new input to give new output](../../../../../translated_images/traditional-vs-ml.5c20c169621fa539ca84a2cd9a49f6ff7410b3a6c6b46c97ff2af3f99db3c66b.pcm.png)
+
+Machine learning dey different - you go start with data and di result wey you sabi already, then di machine learning algorithm go learn from di data. Di trained algorithm wey dem dey call *machine learning model* or *model* fit use new data to give new result.
+
+> 🎓 Di process wey machine learning dey use learn from data na *training*. Di inputs and di result wey you sabi already na *training data*.
+
+For example, you fit give di model plenty pictures of banana wey never ripe as input training data, and di result go be `unripe`. Then you go give am plenty pictures of ripe banana as training data, and di result go be `ripe`. Di ML algorithm go use dis data create model. Later, you fit give di model new picture of banana and e go tell you if di banana ripe or never ripe.
+
+> 🎓 Di result wey ML models dey give na *predictions*
+
+![2 bananas, one ripe with prediction of 99.7% ripe, 0.3% unripe, and one unripe with prediction of 1.4% ripe, 98.6% unripe](../../../../../translated_images/bananas-ripe-vs-unripe-predictions.8d0e2034014aa50ece4e4589e724b142da0681f35470fe3db3f7d51240f69c85.pcm.png)
+
+ML models no dey give yes or no answer, dem dey give probability. For example, di model fit see banana picture and predict `ripe` 99.7% and `unripe` 0.3%. Your code go pick di best prediction and decide say di banana ripe.
+
+Di ML model wey dey detect images like dis na *image classifier* - e dey use labelled images to sabi new images based on di labels.
+
+> 💁 Dis na simple explanation, but plenty other ways dey to train models wey no need labelled outputs, like unsupervised learning. If you wan learn more about ML, check [ML for beginners, 24 lesson curriculum on Machine Learning](https://aka.ms/ML-beginners).
+
+## Train an image classifier
+
+To train image classifier well, you need plenty pictures. But if you get image classifier wey dem don train with plenty pictures, you fit use am again and retrain am with small set of pictures and still get good result. Dis process na *transfer learning*.
+
+> 🎓 Transfer learning na when you use di learning from one ML model to train new model with new data.
+
+Once image classifier don train with plenty pictures, e go sabi shapes, colors, and patterns well. Transfer learning go help di model use wetin e don sabi to recognize new pictures.
+
+![Once you sabi shapes, you fit arrange dem to make boat or cat](../../../../../translated_images/shapes-to-images.1a309f0ea88dd66fafa4da6d38e88806ce174cc6a88081efb32852230ed55de8.pcm.png)
+
+You fit think am like children shape books, once you sabi semi-circle, rectangle, and triangle, you fit sabi sailboat or cat based on how dem arrange di shapes. Di image classifier go sabi di shapes, and transfer learning go teach am wetin di arrangement mean - like ripe banana.
+
+Plenty tools dey to help you do dis, including cloud-based services wey fit help you train di model and use am through web APIs.
+
+> 💁 To train models dey need plenty computer power, like Graphics Processing Units (GPUs). Di same hardware wey dey make Xbox games fine fit train machine learning models. With cloud, you fit rent time on powerful computers with GPUs to train di models, so you go get di power wey you need only for di time wey you need am.
+
+## Custom Vision
+
+Custom Vision na cloud tool wey dey train image classifiers. E dey allow you train classifier with small number of pictures. You fit upload pictures through web portal, web API or SDK, give each picture *tag* wey go show di classification. You go train di model, test am to see how e dey perform, and if e good, you fit publish di model wey people fit use through web API or SDK.
+
+![Di Azure Custom Vision logo](../../../../../translated_images/custom-vision-logo.d3d4e7c8a87ec9daf825e72e210576c3cbf60312577be7a139e22dd97ab7f1e6.pcm.png)
+
+> 💁 You fit train custom vision model with only 5 pictures per classification, but di more pictures you get, di better. At least 30 pictures go give better result.
+
+Custom Vision na part of Microsoft AI tools wey dem dey call Cognitive Services. Dis AI tools fit work without training or with small training. Dem include speech recognition, translation, language understanding, and image analysis. Dem dey available for free tier as services for Azure.
+
+> 💁 Di free tier dey enough to create model, train am, and use am for development work. You fit read di limits of di free tier for [Custom Vision Limits and quotas page on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/limits-and-quotas?WT.mc_id=academic-17441-jabenn).
+
+### Task - create cognitive services resource
+
+To use Custom Vision, you need to create two cognitive services resources for Azure with Azure CLI, one for Custom Vision training and one for Custom Vision prediction.
+
+1. Create Resource Group for dis project wey you go call `fruit-quality-detector`
+
+1. Use dis command to create free Custom Vision training resource:
+
+    ```sh
+    az cognitiveservices account create --name fruit-quality-detector-training \
+                                        --resource-group fruit-quality-detector \
+                                        --kind CustomVision.Training \
+                                        --sku F0 \
+                                        --yes \
+                                        --location <location>
+    ```
+
+    Replace `<location>` with di location wey you use when you create di Resource Group.
+
+    Dis go create Custom Vision training resource for your Resource Group. E go dey called `fruit-quality-detector-training` and e go use `F0` sku, wey be free tier. Di `--yes` option mean say you agree to di terms and conditions of di cognitive services.
+
+> 💁 Use `S0` sku if you don already get free account wey dey use any of di Cognitive Services.
+
+1. Use dis command to create free Custom Vision prediction resource:
+
+    ```sh
+    az cognitiveservices account create --name fruit-quality-detector-prediction \
+                                        --resource-group fruit-quality-detector \
+                                        --kind CustomVision.Prediction \
+                                        --sku F0 \
+                                        --yes \
+                                        --location <location>
+    ```
+
+    Replace `<location>` with di location wey you use when you create di Resource Group.
+
+    Dis go create Custom Vision prediction resource for your Resource Group. E go dey called `fruit-quality-detector-prediction` and e go use `F0` sku, wey be free tier. Di `--yes` option mean say you agree to di terms and conditions of di cognitive services.
+
+### Task - create image classifier project
+
+1. Open Custom Vision portal for [CustomVision.ai](https://customvision.ai), and sign in with di Microsoft account wey you use for your Azure account.
+
+1. Follow di [create new Project section for di build classifier quickstart for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#create-a-new-project) to create new Custom Vision project. Di UI fit change, so di docs go always dey up to date.
+
+    Call your project `fruit-quality-detector`.
+
+    When you dey create di project, make sure say you use di `fruit-quality-detector-training` resource wey you create before. Use *Classification* project type, *Multiclass* classification type, and *Food* domain.
+
+    ![Di settings for di custom vision project with di name set to fruit-quality-detector, no description, di resource set to fruit-quality-detector-training, di project type set to classification, di classification types set to multi class and di domains set to food](../../../../../translated_images/custom-vision-create-project.cf46325b92d8b131089f6647cf5e07b664cb77850e106d66e3c057b6b69756c6.pcm.png)
+
+✅ Take time to check di Custom Vision UI for your image classifier.
+
+### Task - train your image classifier project
+
+To train image classifier, you need plenty pictures of fruit, both good and bad quality, like ripe and overripe banana.
+
+> 💁 Dis classifiers fit classify pictures of anything, so if you no get fruit wey dey different quality, you fit use two different types of fruit, or cats and dogs!
+
+Make sure say each picture na just di fruit, with either same background or plenty different backgrounds. No let di background get anything wey dey show ripe vs unripe fruit.
+> 💁 E dey important make you no use background wey no relate to wetin you wan classify for each tag, because if you do am, the classifier fit dey classify based on the background. One time, dem train classifier for skin cancer using moles wey normal and cancerous, but the cancerous moles get ruler for the picture to measure size. E come be say the classifier dey almost 100% accurate to sabi ruler for picture, no be cancerous moles.
+
+Image classifiers dey work for very low resolution. For example, Custom Vision fit take training and prediction images up to 10240x10240, but e dey train and run the model for images wey be 227x227. Big images go shrink to this size, so make sure say wetin you wan classify dey take big part of the image, otherwise e fit too small for the smaller image wey the classifier go use.
+
+1. Gather pictures for your classifier. You go need at least 5 pictures for each label to train the classifier, but the more, the better. You go also need some extra images to test the classifier. All these images suppose be different pictures of the same thing. For example:
+
+    * Use 2 ripe bananas, take pictures of each one from different angles, at least 7 pictures (5 for training, 2 for testing), but if you fit take more, e go better.
+
+        ![Photos of 2 different bananas](../../../../../translated_images/banana-training-images.530eb203346d73bc23b8b990fb4609470bf4ff7c942ccc13d4cfffeed9be1ad4.pcm.png)
+
+    * Do the same thing for 2 unripe bananas.
+
+    You suppose get at least 10 training images, with at least 5 ripe and 5 unripe, and 4 testing images, 2 ripe, 2 unripe. Your images suppose be png or jpeg, small pass 6MB. If you use iPhone take the pictures, dem fit be high-resolution HEIC images, so you go need convert and maybe shrink dem. The more images, the better, and you suppose get similar number of ripe and unripe.
+
+    If you no get both ripe and unripe fruit, you fit use different fruits, or any two objects wey you get. You fit also find example images for the [images](../../../../../4-manufacturing/lessons/1-train-fruit-detector/images) folder of ripe and unripe bananas wey you fit use.
+
+1. Follow the [upload and tag images section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#upload-and-tag-images) to upload your training images. Tag the ripe fruit as `ripe`, and the unripe fruit as `unripe`.
+
+    ![The upload dialogs showing the upload of ripe and unripe banana pictures](../../../../../translated_images/image-upload-bananas.0751639f3815e0ec42bdbc6254d1e4357a185834d1ae10c9948a0e7d6d336695.pcm.png)
+
+1. Follow the [train the classifier section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#train-the-classifier) to train the image classifier with your uploaded images.
+
+    You go get option to choose training type. Select **Quick Training**.
+
+The classifier go train. E go take few minutes to finish the training.
+
+> 🍌 If you wan chop your fruit while the classifier dey train, make sure say you don get enough images to test first!
+
+## Test your image classifier
+
+Once your classifier don train finish, you fit test am by giving am new image to classify.
+
+### Task - test your image classifier
+
+1. Follow the [test your model documentation on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/test-your-model?WT.mc_id=academic-17441-jabenn#test-your-model) to test your image classifier. Use the testing images wey you don create before, no use any of the images wey you use for training.
+
+    ![A unripe banana predicted as unripe with a 98.9% probability, ripe with a 1.1% probability](../../../../../translated_images/banana-unripe-quick-test-prediction.dae9b5e1c4ef7c64886422438850ea14f0be6ac918c217ea3b255c685abfabe7.pcm.png)
+
+1. Try all the testing images wey you get and check the probabilities.
+
+## Retrain your image classifier
+
+When you test your classifier, e fit no give you the result wey you dey expect. Image classifiers dey use machine learning to predict wetin dey inside image, based on probabilities wey show say particular features for image mean say e match particular label. E no sabi wetin dey inside the image - e no know wetin banana be or understand wetin make banana be banana instead of boat. You fit improve your classifier by retraining am with images wey e dey get wrong.
+
+Every time you make prediction using the quick test option, the image and results go dey stored. You fit use these images retrain your model.
+
+### Task - retrain your image classifier
+
+1. Follow the [use the predicted image for training documentation on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/test-your-model?WT.mc_id=academic-17441-jabenn#use-the-predicted-image-for-training) to retrain your model, using the correct tag for each image.
+
+1. Once your model don retrain finish, test am with new images.
+
+---
+
+## 🚀 Challenge
+
+Wetin you think go happen if you use picture of strawberry with model wey dem train on bananas, or picture of inflatable banana, or person wey wear banana suit, or even yellow cartoon character like person from the Simpsons?
+
+Try am and see wetin the predictions go be. You fit find images to try with using [Bing Image search](https://www.bing.com/images/trending).
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/30)
+
+## Review & Self Study
+
+* When you train your classifier, you go see values for *Precision*, *Recall*, and *AP* wey dey rate the model wey dem create. Read about wetin these values mean using [the evaluate the classifier section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#evaluate-the-classifier)
+* Read about how to improve your classifier from the [how to improve your Custom Vision model on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-improving-your-classifier?WT.mc_id=academic-17441-jabenn)
+
+## Assignment
+
+[Train your classifier for multiple fruits and vegetables](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/1-train-fruit-detector/assignment.md b/translations/pcm/4-manufacturing/lessons/1-train-fruit-detector/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e74eb2fc7cc3b81916b52e957802f182",
+  "translation_date": "2025-11-18T18:57:54+00:00",
+  "source_file": "4-manufacturing/lessons/1-train-fruit-detector/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Train your classifier for plenty fruits and vegetables
+
+## Instructions
+
+For dis lesson, you don train image classifier wey fit sabi di difference between ripe and unripe fruits, but na only one type of fruit you use. You fit train classifier wey go sabi plenty fruits, but how e go work well go depend on di type of fruit and di difference between ripe and unripe.
+
+For example, fruits wey dey change color when dem ripe, image classifier fit no work well reach color sensor because dem dey use grey scale images instead of full color.
+
+Try train your classifier with other fruits make you see how e go work, especially when di fruits resemble each other. For example, apple and tomato.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Train di classifier for plenty fruits | Fit train di classifier for plenty fruits | Fit train di classifier for one extra fruit | No fit train di classifier for more fruits |
+| Check how di classifier dey work | Fit talk correct about how di classifier dey work with different fruits | Fit observe and give advice about how e dey work | No fit talk about how di classifier dey work |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/README.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "557f4ee96b752e0651d2e6e74aa6bd14",
+  "translation_date": "2025-11-18T18:53:59+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/README.md",
+  "language_code": "pcm"
+}
+-->
+# Check fruit quality from IoT device
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-16.215daf18b00631fbdfd64c6fc2dc6044dff5d544288825d8076f9fb83d964c23.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/31)
+
+## Introduction
+
+For di last lesson, you don learn about image classifiers, and how to train dem to sabi good and bad fruit. To use dis image classifier for IoT application, you go need to fit capture image wit camera, and send di image go cloud make dem classify am.
+
+For dis lesson, you go learn about camera sensors, and how to use dem wit IoT device to capture image. You go also learn how to call di image classifier from your IoT device.
+
+For dis lesson we go talk about:
+
+* [Camera sensors](../../../../../4-manufacturing/lessons/2-check-fruit-from-device)
+* [Capture image wit IoT device](../../../../../4-manufacturing/lessons/2-check-fruit-from-device)
+* [Publish your image classifier](../../../../../4-manufacturing/lessons/2-check-fruit-from-device)
+* [Classify images from your IoT device](../../../../../4-manufacturing/lessons/2-check-fruit-from-device)
+* [Improve di model](../../../../../4-manufacturing/lessons/2-check-fruit-from-device)
+
+## Camera sensors
+
+Camera sensors na cameras wey you fit connect to your IoT device. Dem fit take still images or capture streaming video. Some go return raw image data, others go compress di image data into image file like JPEG or PNG. Normally, di cameras wey dey work wit IoT devices dey small and get lower resolution compared to wetin you dey used to, but you fit get high resolution cameras wey go match di top-end phones. You fit get different types of lenses, multiple camera setups, infra-red thermal cameras, or UV cameras.
+
+![Di light from scene dey pass through lens and e dey focus on CMOS sensor](../../../../../translated_images/cmos-sensor.75f9cd74decb137149a4c9ea825251a4549497d67c0ae2776159e6102bb53aa9.pcm.png)
+
+Most camera sensors dey use image sensors wey each pixel na photodiode. Lens dey focus di image onto di image sensor, and thousands or millions of photodiodes dey detect di light wey dey fall on each one, and dem dey record am as pixel data.
+
+> 💁 Lenses dey turn image upside down, di camera sensor go then flip di image back to di correct way. Na di same thing dey happen for your eyes - wetin you dey see dey detect upside down for di back of your eye, but your brain dey correct am.
+
+> 🎓 Di image sensor dey known as Active-Pixel Sensor (APS), and di most popular type of APS na complementary metal-oxide semiconductor sensor, or CMOS. You fit don hear di term CMOS sensor for camera sensors.
+
+Camera sensors na digital sensors, dem dey send image data as digital data, usually wit di help of library wey dey provide di communication. Cameras dey connect using protocols like SPI to allow dem send plenty data - images big pass single numbers from sensor like temperature sensor.
+
+✅ Wetin be di limitations wey dey around image size for IoT devices? Think about di constraints especially for microcontroller hardware.
+
+## Capture image wit IoT device
+
+You fit use your IoT device to capture image wey dem go classify.
+
+### Task - capture image wit IoT device
+
+Follow di correct guide to capture image wit your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-camera.md)
+* [Single-board computer - Raspberry Pi](pi-camera.md)
+* [Single-board computer - Virtual device](virtual-device-camera.md)
+
+## Publish your image classifier
+
+You don train your image classifier for di last lesson. Before you fit use am from your IoT device, you go need to publish di model.
+
+### Model iterations
+
+When your model dey train for di last lesson, you fit notice say di **Performance** tab dey show iterations for di side. When you first train di model, you go see *Iteration 1* for training. When you improve di model using di prediction images, you go see *Iteration 2* for training.
+
+Every time you train di model, you go get new iteration. Dis na way to track di different versions of your model wey dem train on different data sets. When you do **Quick Test**, you go see drop-down wey you fit use to select di iteration, so you fit compare di results across multiple iterations.
+
+When you dey happy wit one iteration, you fit publish am to make am available to use from external applications. Dis way, you fit get published version wey your devices dey use, then work on new version over multiple iterations, then publish am once you dey happy wit am.
+
+### Task - publish iteration
+
+Iterations dey published from di Custom Vision portal.
+
+1. Open di Custom Vision portal for [CustomVision.ai](https://customvision.ai) and sign in if you never open am before. Then open your `fruit-quality-detector` project.
+
+1. Select di **Performance** tab from di options for di top.
+
+1. Select di latest iteration from di *Iterations* list for di side.
+
+1. Select di **Publish** button for di iteration.
+
+    ![Di publish button](../../../../../translated_images/custom-vision-publish-button.b7174e1977b0c33b8b72d4e5b1326c779e0af196f3849d09985ee2d7d5493a39.pcm.png)
+
+1. For di *Publish Model* dialog, set di *Prediction resource* to di `fruit-quality-detector-prediction` resource wey you create for di last lesson. Leave di name as `Iteration2`, and select di **Publish** button.
+
+1. Once you don publish am, select di **Prediction URL** button. Dis go show details of di prediction API, and you go need dem to call di model from your IoT device. Di lower section dey labelled *If you have an image file*, and na di details you go need. Copy di URL wey dem show wey go look like:
+
+    ```output
+    https://<location>.api.cognitive.microsoft.com/customvision/v3.0/Prediction/<id>/classify/iterations/Iteration2/image
+    ```
+
+    Where `<location>` go be di location wey you use when you dey create your custom vision resource, and `<id>` go be long ID wey get letters and numbers.
+
+    Also copy di *Prediction-Key* value. Dis na secure key wey you go pass when you dey call di model. Only applications wey pass dis key go fit use di model, any other applications dem go reject.
+
+    ![Di prediction API dialog wey dey show di URL and key](../../../../../translated_images/custom-vision-prediction-key-endpoint.30c569ffd0338864f319911f052d5e9b8c5066cb0800a26dd6f7ff5713130ad8.pcm.png)
+
+✅ When new iteration dey published, e go get different name. How you think say you go fit change di iteration wey IoT device dey use?
+
+## Classify images from your IoT device
+
+You fit now use dis connection details to call di image classifier from your IoT device.
+
+### Task - classify images from your IoT device
+
+Follow di correct guide to classify images using your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-classify-image.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-classify-image.md)
+
+## Improve di model
+
+You fit notice say di results wey you dey get when you dey use di camera wey connect to your IoT device no dey match wetin you dey expect. Di predictions no dey always accurate like di images wey you upload from your computer. Dis na because di model train on different data compared to wetin dem dey use for predictions.
+
+To get better results for image classifier, you go wan train di model wit images wey dey similar to di images wey dem dey use for predictions. If you use your phone camera to capture images for training, for example, di image quality, sharpness, and color go dey different from di camera wey connect to IoT device.
+
+![2 banana pictures, one na low resolution wit poor lighting from IoT device, di other na high resolution wit good lighting from phone](../../../../../translated_images/banana-picture-compare.174df164dc326a42cf7fb051a7497e6113c620e91552d92ca914220305d47d9a.pcm.png)
+
+For di image above, di banana picture for left na from Raspberry Pi Camera, di one for right na di same banana for di same location wey dem take wit iPhone. You go notice di difference for quality - di iPhone picture sharp, wit brighter colors and more contrast.
+
+✅ Wetin else fit make di images wey IoT device capture dey give wrong predictions? Think about di environment wey IoT device dey, wetin fit affect di image wey dem dey capture?
+
+To improve di model, you fit retrain am using di images wey IoT device capture.
+
+### Task - improve di model
+
+1. Classify plenty images of both ripe and unripe fruit using your IoT device.
+
+1. For di Custom Vision portal, retrain di model using di images for di *Predictions* tab.
+
+    > ⚠️ You fit check [di instructions for retraining your classifier for lesson 1 if you need am](../1-train-fruit-detector/README.md#retrain-your-image-classifier).
+
+1. If your images dey look very different from di original ones wey dem use train, you fit delete all di original images by selecting dem for di *Training Images* tab and selecting di **Delete** button. To select image, move your cursor over am and tick go appear, select di tick to select or deselect di image.
+
+1. Train new iteration of di model and publish am using di steps above.
+
+1. Update di endpoint URL for your code, and re-run di app.
+
+1. Repeat dis steps until you dey happy wit di results of di predictions.
+
+---
+
+## 🚀 Challenge
+
+How image resolution or lighting dey affect di prediction?
+
+Try change di resolution of di images for your device code and see if e go make difference for di quality of di images. Also try change lighting.
+
+If you wan create production device to sell to farms or factories, how you go make sure say e dey give consistent results all di time?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/32)
+
+## Review & Self Study
+
+You don train your custom vision model using di portal. Dis dey depend on having images available - and for real world, you fit no fit get training data wey match wetin di camera for your device dey capture. You fit work around dis by training directly from your device using di training API, to train model wit images wey IoT device capture.
+
+* Read about di training API for [using di Custom Vision SDK quick start](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/quickstarts/image-classification?WT.mc_id=academic-17441-jabenn&tabs=visual-studio&pivots=programming-language-python)
+
+## Assignment
+
+[Respond to classification results](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original docu for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/assignment.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "022e21f8629b721424c1de25195fff67",
+  "translation_date": "2025-11-18T18:55:55+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Respond to classification results
+
+## Instructions
+
+Your device don classify images, and e get di values for di predictions. Your device fit use dis information do somtin - e fit send am go IoT Hub make other systems process am, or e fit control actuator like LED wey go light up wen di fruit no ripe.
+
+Add code for your device make e respond anyhow wey you choose - either send data go IoT Hub, control actuator, or join di two and send data go IoT Hub wit some serverless code wey go determine if di fruit don ripe or no ripe, den e go send back command to control actuator.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Respond to predictions | E fit implement response to predictions wey dey work well well wit predictions wey get di same value. | E fit implement response wey no depend on di predictions, like just dey send raw data go IoT Hub | E no fit program di device make e respond to di predictions |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important informate, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/pi-camera.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/pi-camera.md
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@@ -0,0 +1,157 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c677667095f6133eee418c7e53615d05",
+  "translation_date": "2025-11-18T18:50:51+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/pi-camera.md",
+  "language_code": "pcm"
+}
+-->
+# Capture image - Raspberry Pi
+
+For dis part of di lesson, you go add camera sensor to your Raspberry Pi, and read image from am.
+
+## Hardware
+
+Raspberry Pi need camera.
+
+Di camera wey you go use na [Raspberry Pi Camera Module](https://www.raspberrypi.org/products/camera-module-v2/). Dis camera na for Raspberry Pi and e dey connect through special connector for di Pi.
+
+> 💁 Dis camera dey use [Camera Serial Interface, na protocol wey di Mobile Industry Processor Interface Alliance create](https://wikipedia.org/wiki/Camera_Serial_Interface), dem dey call am MIPI-CSI. Na special protocol for sending image.
+
+## Connect di camera
+
+You fit connect di camera to di Raspberry Pi with ribbon cable.
+
+### Task - connect di camera
+
+![Raspberry Pi Camera](../../../../../translated_images/pi-camera-module.4278753c31bd6e757aa2b858be97d72049f71616278cefe4fb5abb485b40a078.pcm.png)
+
+1. Off di Pi.
+
+1. Connect di ribbon cable wey come with di camera to di camera. To do dis one, gently pull di black plastic clip for di holder so e go comot small, then slide di cable enter di socket, make di blue side face away from di lens, di metal pin strips go face di lens. Once e don enter finish, push di black plastic clip back to di place.
+
+    You fit see animation wey dey show how to open di clip and put di cable for di [Raspberry Pi Getting Started with the Camera module documentation](https://projects.raspberrypi.org/en/projects/getting-started-with-picamera/2).
+
+    ![Di ribbon cable wey dem don put for di camera module](../../../../../translated_images/pi-camera-ribbon-cable.0bf82acd251611c21ac616f082849413e2b322a261d0e4f8fec344248083b07e.pcm.png)
+
+1. Remove di Grove Base Hat from di Pi.
+
+1. Pass di ribbon cable through di camera slot for di Grove Base Hat. Make sure say di blue side of di cable dey face di analog ports wey dem label **A0**, **A1** etc.
+
+    ![Di ribbon cable wey dey pass through di grove base hat](../../../../../translated_images/grove-base-hat-ribbon-cable.501fed202fcf73b11b2b68f6d246189f7d15d3e4423c572ddee79d77b4632b47.pcm.png)
+
+1. Put di ribbon cable for di camera port for di Pi. Again, pull di black plastic clip up, put di cable, then push di clip back. Di blue side of di cable suppose face di USB and ethernet ports.
+
+    ![Di ribbon cable wey dem don connect to di camera socket for di Pi](../../../../../translated_images/pi-camera-socket-ribbon-cable.a18309920b11800911082ed7aa6fb28e6d9be3a022e4079ff990016cae3fca10.pcm.png)
+
+1. Put back di Grove Base Hat.
+
+## Program di camera
+
+Raspberry Pi fit dey programmed to use di camera with di [PiCamera](https://pypi.org/project/picamera/) Python library.
+
+### Task - enable legacy camera mode
+
+Unfortunately, when dem release Raspberry Pi OS Bullseye, di camera software wey dey come with di OS change, so by default PiCamera no dey work again. Dem dey work on replacement wey dem dey call PiCamera2, but e never ready to use.
+
+For now, you fit set your Pi to legacy camera mode so PiCamera go fit work. Di camera socket dey disabled by default, but once you turn on di legacy camera software, e go automatically enable di socket.
+
+1. Power di Pi and wait make e boot.
+
+1. Open VS Code, either directly for di Pi, or connect am through di Remote SSH extension.
+
+1. Run dis commands for your terminal:
+
+    ```sh
+    sudo raspi-config nonint do_legacy 0
+    sudo reboot
+    ```
+
+    Dis one go change di setting to enable di legacy camera software, then reboot di Pi so di setting go work.
+
+1. Wait make di Pi reboot, then open VS Code again.
+
+### Task - program di camera
+
+Program di device.
+
+1. From di terminal, create new folder for di `pi` user home directory wey dem call `fruit-quality-detector`. Create file for dis folder wey dem call `app.py`.
+
+1. Open dis folder for VS Code.
+
+1. To use di camera, you fit use di PiCamera Python library. Install di Pip package for dis one with dis command:
+
+    ```sh
+    pip3 install picamera
+    ```
+
+1. Add dis code to your `app.py` file:
+
+    ```python
+    import io
+    import time
+    from picamera import PiCamera
+    ```
+
+    Dis code dey import some libraries wey you need, including di `PiCamera` library.
+
+1. Add dis code below dis one to initialize di camera:
+
+    ```python
+    camera = PiCamera()
+    camera.resolution = (640, 480)
+    camera.rotation = 0
+    
+    time.sleep(2)
+    ```
+
+    Dis code dey create PiCamera object, set di resolution to 640x480. Even though higher resolutions dey supported (up to 3280x2464), di image classifier dey work on smaller images (227x227) so e no necessary to capture and send bigger images.
+
+    Di `camera.rotation = 0` line dey set di rotation of di image. Di ribbon cable dey enter di bottom of di camera, but if your camera rotate to make e point well to di item wey you wan classify, you fit change dis line to di number of degrees wey e rotate.
+
+    ![Di camera wey dey hang down over drink can](../../../../../translated_images/pi-camera-upside-down.5376961ba31459883362124152ad6b823d5ac5fc14e85f317e22903bd681c2b6.pcm.png)
+
+    For example, if you suspend di ribbon cable over something so e dey for di top of di camera, then set di rotation to be 180:
+
+    ```python
+    camera.rotation = 180
+    ```
+
+    Di camera dey take few seconds to start, na why `time.sleep(2)` dey.
+
+1. Add dis code below dis one to capture di image as binary data:
+
+    ```python
+    image = io.BytesIO()
+    camera.capture(image, 'jpeg')
+    image.seek(0)
+    ```
+
+    Dis code dey create `BytesIO` object to store binary data. Di image dey read from di camera as JPEG file and e dey store for dis object. Dis object get position indicator to know where e dey for di data so more data fit dey write to di end if e need am, so di `image.seek(0)` line dey move dis position back to di start so all di data fit dey read later.
+
+1. Below dis one, add dis code to save di image to file:
+
+    ```python
+    with open('image.jpg', 'wb') as image_file:
+        image_file.write(image.read())
+    ```
+
+    Dis code dey open file wey dem call `image.jpg` for writing, then e dey read all di data from di `BytesIO` object and e dey write am to di file.
+
+    > 💁 You fit capture di image directly to file instead of `BytesIO` object by passing di file name to di `camera.capture` call. Di reason wey we dey use `BytesIO` object na so later for dis lesson you fit send di image to your image classifier.
+
+1. Point di camera to something and run dis code.
+
+1. Di image go dey captured and e go save as `image.jpg` for di current folder. You go see dis file for di VS Code explorer. Select di file to see di image. If e need rotation, update di `camera.rotation = 0` line as e need and take another picture.
+
+> 💁 You fit find dis code for di [code-camera/pi](../../../../../4-manufacturing/lessons/2-check-fruit-from-device/code-camera/pi) folder.
+
+😀 Your camera program don work!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong meaning wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md
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--- /dev/null
+++ b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md
@@ -0,0 +1,107 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e5896207b304ce1abaf065b8acc0cc79",
+  "translation_date": "2025-11-18T18:56:20+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md",
+  "language_code": "pcm"
+}
+-->
+# Classify image - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go send di image wey di camera capture go Custom Vision service to classify am.
+
+## Send images go Custom Vision
+
+Di Custom Vision service get Python SDK wey you fit use to classify images.
+
+### Task - send images go Custom Vision
+
+1. Open di `fruit-quality-detector` folder for VS Code. If you dey use virtual IoT device, make sure say di virtual environment dey run for di terminal.
+
+1. Di Python SDK wey dey send images go Custom Vision dey available as Pip package. Install am with dis command:
+
+    ```sh
+    pip3 install azure-cognitiveservices-vision-customvision
+    ```
+
+1. Add dis import statements for di top of di `app.py` file:
+
+    ```python
+    from msrest.authentication import ApiKeyCredentials
+    from azure.cognitiveservices.vision.customvision.prediction import CustomVisionPredictionClient
+    ```
+
+    Dis one go bring some modules from di Custom Vision libraries, one to authenticate with di prediction key, and one to provide prediction client class wey fit call Custom Vision.
+
+1. Add dis code for di end of di file:
+
+    ```python
+    prediction_url = '<prediction_url>'
+    prediction_key = '<prediction key>'
+    ```
+
+    Change `<prediction_url>` to di URL wey you copy from di *Prediction URL* dialog before for dis lesson. Change `<prediction key>` to di prediction key wey you copy from di same dialog.
+
+1. Di prediction URL wey di *Prediction URL* dialog provide dey designed to use when you dey call di REST endpoint directly. Di Python SDK dey use parts of di URL for different places. Add dis code to break di URL into di parts wey dem need:
+
+    ```python
+    parts = prediction_url.split('/')
+    endpoint = 'https://' + parts[2]
+    project_id = parts[6]
+    iteration_name = parts[9]
+    ```
+
+    Dis one go split di URL, extract di endpoint of `https://<location>.api.cognitive.microsoft.com`, di project ID, and di name of di published iteration.
+
+1. Create predictor object to do di prediction with dis code:
+
+    ```python
+    prediction_credentials = ApiKeyCredentials(in_headers={"Prediction-key": prediction_key})
+    predictor = CustomVisionPredictionClient(endpoint, prediction_credentials)
+    ```
+
+    Di `prediction_credentials` dey wrap di prediction key. Dem go use am to create prediction client object wey dey point to di endpoint.
+
+1. Send di image go Custom Vision with dis code:
+
+    ```python
+    image.seek(0)
+    results = predictor.classify_image(project_id, iteration_name, image)
+    ```
+
+    Dis one go rewind di image back to di start, then send am go di prediction client.
+
+1. Finally, show di results with dis code:
+
+    ```python
+    for prediction in results.predictions:
+        print(f'{prediction.tag_name}:\t{prediction.probability * 100:.2f}%')
+    ```
+
+    Dis one go loop through all di predictions wey dem return and show dem for di terminal. Di probabilities wey dem return na floating point numbers from 0-1, wey 0 mean 0% chance say e match di tag, and 1 mean 100% chance.
+
+    > 💁 Image classifiers go return di percentages for all di tags wey dem use. Each tag go get probability say di image match di tag.
+
+1. Run your code, make your camera dey point to some fruit, or image set wey dey appropriate, or fruit wey dey visible for your webcam if you dey use virtual IoT hardware. You go see di output for di console:
+
+    ```output
+    (.venv) ➜  fruit-quality-detector python app.py
+    ripe:   56.84%
+    unripe: 43.16%
+    ```
+
+    You go fit see di image wey dem take, and dis values for di **Predictions** tab for Custom Vision.
+
+    ![Banana for custom vision wey dem predict ripe at 56.8% and unripe at 43.1%](../../../../../translated_images/custom-vision-banana-prediction.30cdff4e1d72db5d9a0be0193790a47c2b387da034e12dc1314dd57ca2131b59.pcm.png)
+
+> 💁 You fit find dis code for di [code-classify/pi](../../../../../4-manufacturing/lessons/2-check-fruit-from-device/code-classify/pi) or [code-classify/virtual-iot-device](../../../../../4-manufacturing/lessons/2-check-fruit-from-device/code-classify/virtual-iot-device) folder.
+
+😀 Your fruit quality classifier program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md
@@ -0,0 +1,128 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "3ba7150ffc4a6999f6c3cfb4906ec7df",
+  "translation_date": "2025-11-18T18:51:35+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md",
+  "language_code": "pcm"
+}
+-->
+# Capture image - Virtual IoT Hardware
+
+For dis part of di lesson, you go add camera sensor to your virtual IoT device, and you go dey read images from am.
+
+## Hardware
+
+Di virtual IoT device go use one simulated camera wey dey send images either from files or from your webcam.
+
+### Add di camera to CounterFit
+
+To use virtual camera, you need to add am to di CounterFit app.
+
+#### Task - Add di camera to CounterFit
+
+Add di Camera to di CounterFit app.
+
+1. Create new Python app for your computer inside one folder wey dem call `fruit-quality-detector` wey get one file wey dem call `app.py` and one Python virtual environment, then add di CounterFit pip packages.
+
+    > ⚠️ You fit check [di instructions for how to create and setup CounterFit Python project for lesson 1 if you need am](../../../1-getting-started/lessons/1-introduction-to-iot/virtual-device.md).
+
+1. Install one extra Pip package to install CounterFit shim wey fit talk to Camera sensors by simulating some of di [Picamera Pip package](https://pypi.org/project/picamera/). Make sure say you dey install am from terminal wey get di virtual environment activated.
+
+    ```sh
+    pip install counterfit-shims-picamera
+    ```
+
+1. Make sure say di CounterFit web app dey run.
+
+1. Create camera:
+
+    1. For di *Create sensor* box for di *Sensors* pane, drop down di *Sensor type* box and select *Camera*.
+
+    1. Set di *Name* to `Picamera`.
+
+    1. Select di **Add** button to create di camera.
+
+    ![Di camera settings](../../../../../translated_images/counterfit-create-camera.a5de97f59c0bd3cbe0416d7e89a3cfe86d19fbae05c641c53a91286412af0a34.pcm.png)
+
+    Di camera go dey created and e go show for di sensors list.
+
+    ![Di camera created](../../../../../translated_images/counterfit-camera.001ec52194c8ee5d3f617173da2c79e1df903d10882adc625cbfc493525125d4.pcm.png)
+
+## Program di camera
+
+Di virtual IoT device fit now dey programmed to use di virtual camera.
+
+### Task - Program di camera
+
+Program di device.
+
+1. Make sure say di `fruit-quality-detector` app dey open for VS Code.
+
+1. Open di `app.py` file.
+
+1. Add di code wey dey below to di top of `app.py` to connect di app to CounterFit:
+
+    ```python
+    from counterfit_connection import CounterFitConnection
+    CounterFitConnection.init('127.0.0.1', 5000)
+    ```
+
+1. Add di code wey dey below to your `app.py` file:
+
+    ```python
+    import io
+    from counterfit_shims_picamera import PiCamera
+    ```
+
+    Dis code dey import some libraries wey you need, including di `PiCamera` class from di counterfit_shims_picamera library.
+
+1. Add di code wey dey below dis one to initialize di camera:
+
+    ```python
+    camera = PiCamera()
+    camera.resolution = (640, 480)
+    camera.rotation = 0
+    ```
+
+    Dis code dey create one PiCamera object, set di resolution to 640x480. Even though higher resolutions dey supported, di image classifier dey work on smaller images (227x227), so e no necessary to capture and send bigger images.
+
+    Di `camera.rotation = 0` line dey set di rotation of di image in degrees. If you need to rotate di image from di webcam or di file, set am as e dey appropriate. For example, if you wan change di image of banana for webcam wey dey landscape mode to portrait, set `camera.rotation = 90`.
+
+1. Add di code wey dey below dis one to capture di image as binary data:
+
+    ```python
+    image = io.BytesIO()
+    camera.capture(image, 'jpeg')
+    image.seek(0)
+    ```
+
+    Dis code dey create one `BytesIO` object to store binary data. Di image dey read from di camera as JPEG file and e dey stored for dis object. Dis object get one position indicator to know where e dey for di data so dat more data fit dey written to di end if e dey needed, so di `image.seek(0)` line dey move dis position go back to di start so dat all di data fit dey read later.
+
+1. Below dis one, add di code wey dey below to save di image to file:
+
+    ```python
+    with open('image.jpg', 'wb') as image_file:
+        image_file.write(image.read())
+    ```
+
+    Dis code dey open one file wey dem call `image.jpg` for writing, then e dey read all di data from di `BytesIO` object and e dey write am to di file.
+
+    > 💁 You fit capture di image directly to file instead of `BytesIO` object by passing di file name to di `camera.capture` call. Di reason why we dey use di `BytesIO` object na so dat later for dis lesson you fit send di image to your image classifier.
+
+1. Configure di image wey di camera for CounterFit go capture. You fit either set di *Source* to *File*, then upload one image file, or set di *Source* to *WebCam*, and images go dey captured from your webcam. Make sure say you select di **Set** button after you select picture or select your webcam.
+
+    ![CounterFit wey get file set as di image source, and webcam wey dey show person wey dey hold banana for preview of di webcam](../../../../../translated_images/counterfit-camera-options.eb3bd5150a8e7dffbf24bc5bcaba0cf2cdef95fbe6bbe393695d173817d6b8df.pcm.png)
+
+1. One image go dey captured and e go dey saved as `image.jpg` for di current folder. You go see dis file for di VS Code explorer. Select di file to view di image. If e need rotation, update di `camera.rotation = 0` line as e dey necessary and take another picture.
+
+> 💁 You fit find dis code for di [code-camera/virtual-iot-device](../../../../../4-manufacturing/lessons/2-check-fruit-from-device/code-camera/virtual-iot-device) folder.
+
+😀 Your camera program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md
@@ -0,0 +1,477 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "160be8c0f558687f6686dca64f10f739",
+  "translation_date": "2025-11-18T18:52:46+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md",
+  "language_code": "pcm"
+}
+-->
+# Capture image - Wio Terminal
+
+For dis part of di lesson, you go add camera to your Wio Terminal, and take picture from am.
+
+## Hardware
+
+Di Wio Terminal need camera.
+
+Di camera wey you go use na [ArduCam Mini 2MP Plus](https://www.arducam.com/product/arducam-2mp-spi-camera-b0067-arduino/). E be 2 megapixel camera wey dey use OV2640 image sensor. E dey use SPI interface to take picture, and I<sup>2</sup>C to set di sensor.
+
+## Connect di camera
+
+Di ArduCam no get Grove socket, e dey connect to SPI and I<sup>2</sup>C buses through GPIO pins for di Wio Terminal.
+
+### Task - connect di camera
+
+Connect di camera.
+
+![An ArduCam sensor](../../../../../translated_images/arducam.20e4e4cbb268296570b5914e20d6c349fc42ddac9ed4e1b9deba2188204eebae.pcm.png)
+
+1. Di pins wey dey di bottom of di ArduCam suppose connect to di GPIO pins for di Wio Terminal. To make am easy to find di correct pins, put di GPIO pin sticker wey come with di Wio Terminal around di pins:
+
+    ![Di wio terminal with di GPIO pin sticker on](../../../../../translated_images/wio-terminal-pin-sticker.b90b1535937b84bd00d853f0004aea74fac2aec04b43f14b887796b2633f855e.pcm.png)
+
+1. Use jumper wires, make di following connections:
+
+    | ArduCAM pin | Wio Terminal pin | Description                             |
+    | ----------- | ---------------- | --------------------------------------- |
+    | CS          | 24 (SPI_CS)      | SPI Chip Select                         |
+    | MOSI        | 19 (SPI_MOSI)    | SPI Controller Output, Peripheral Input |
+    | MISO        | 21 (SPI_MISO)    | SPI Controller Input, peripheral Output |
+    | SCK         | 23 (SPI_SCLK)    | SPI Serial Clock                        |
+    | GND         | 6 (GND)          | Ground - 0V                             |
+    | VCC         | 4 (5V)           | 5V power supply                         |
+    | SDA         | 3 (I2C1_SDA)     | I<sup>2</sup>C Serial Data              |
+    | SCL         | 5 (I2C1_SCL)     | I<sup>2</sup>C Serial Clock             |
+
+    ![Di wio terminal connected to di ArduCam with jumper wires](../../../../../translated_images/arducam-wio-terminal-connections.a4d5a4049bdb5ab800a2877389fc6ecf5e4ff307e6451ff56c517e6786467d0a.pcm.png)
+
+    Di GND and VCC connections dey provide 5V power supply to di ArduCam. E dey run for 5V, unlike Grove sensors wey dey run for 3V. Dis power dey come directly from di USB-C connection wey dey power di device.
+
+    > 💁 For di SPI connection, di pin labels for di ArduCam and di Wio Terminal pin names wey dey use for code still dey use di old naming style. Di instructions for dis lesson go use di new naming style, except when di pin names dey use for code.
+
+1. You fit now connect di Wio Terminal to your computer.
+
+## Program di device to connect to di camera
+
+Di Wio Terminal fit now dey programmed to use di ArduCAM camera wey you attach.
+
+### Task - program di device to connect to di camera
+
+1. Create new Wio Terminal project using PlatformIO. Call di project `fruit-quality-detector`. Add code for di `setup` function to configure di serial port.
+
+1. Add code to connect to WiFi, with your WiFi credentials for file wey dem call `config.h`. No forget to add di libraries wey you need for di `platformio.ini` file.
+
+1. Di ArduCam library no dey available as Arduino library wey fit install from di `platformio.ini` file. Instead, you go need install am from source from their GitHub page. You fit get am by either:
+
+    * Cloning di repo from [https://github.com/ArduCAM/Arduino.git](https://github.com/ArduCAM/Arduino.git)
+    * Go di repo for GitHub for [github.com/ArduCAM/Arduino](https://github.com/ArduCAM/Arduino) and download di code as zip from di **Code** button
+
+1. You only need di `ArduCAM` folder from dis code. Copy di whole folder enter di `lib` folder for your project.
+
+    > ⚠️ Di whole folder suppose dey copied, so di code go dey for `lib/ArduCam`. No just copy di contents of di `ArduCam` folder enter di `lib` folder, copy di whole folder.
+
+1. Di ArduCam library code dey work for plenty types of camera. Di type of camera wey you wan use dey configured using compiler flags - dis dey make di built library small as e fit by removing code for cameras wey you no dey use. To configure di library for di OV2640 camera, add di following to di end of di `platformio.ini` file:
+
+    ```ini
+    build_flags =
+        -DARDUCAM_SHIELD_V2
+        -DOV2640_CAM
+    ```
+
+    Dis dey set 2 compiler flags:
+
+      * `ARDUCAM_SHIELD_V2` to tell di library say di camera dey for Arduino board, wey dem dey call shield.
+      * `OV2640_CAM` to tell di library to only include code for di OV2640 camera.
+
+1. Add header file enter di `src` folder wey dem call `camera.h`. Dis go contain code to communicate with di camera. Add di following code to dis file:
+
+    ```cpp
+    #pragma once
+    
+    #include <ArduCAM.h>
+    #include <Wire.h>
+    
+    class Camera
+    {
+    public:
+        Camera(int format, int image_size) : _arducam(OV2640, PIN_SPI_SS)
+        {
+            _format = format;
+            _image_size = image_size;
+        }
+    
+        bool init()
+        {
+            // Reset the CPLD
+            _arducam.write_reg(0x07, 0x80);
+            delay(100);
+    
+            _arducam.write_reg(0x07, 0x00);
+            delay(100);
+    
+            // Check if the ArduCAM SPI bus is OK
+            _arducam.write_reg(ARDUCHIP_TEST1, 0x55);
+            if (_arducam.read_reg(ARDUCHIP_TEST1) != 0x55)
+            {
+                return false;
+            }
+                
+            // Change MCU mode
+            _arducam.set_mode(MCU2LCD_MODE);
+    
+            uint8_t vid, pid;
+    
+            // Check if the camera module type is OV2640
+            _arducam.wrSensorReg8_8(0xff, 0x01);
+            _arducam.rdSensorReg8_8(OV2640_CHIPID_HIGH, &vid);
+            _arducam.rdSensorReg8_8(OV2640_CHIPID_LOW, &pid);
+            if ((vid != 0x26) && ((pid != 0x41) || (pid != 0x42)))
+            {
+                return false;
+            }
+            
+            _arducam.set_format(_format);
+            _arducam.InitCAM();
+            _arducam.OV2640_set_JPEG_size(_image_size);
+            _arducam.OV2640_set_Light_Mode(Auto);
+            _arducam.OV2640_set_Special_effects(Normal);
+            delay(1000);
+    
+            return true;
+        }
+    
+        void startCapture()
+        {
+            _arducam.flush_fifo();
+            _arducam.clear_fifo_flag();
+            _arducam.start_capture();
+        }
+    
+        bool captureReady()
+        {
+            return _arducam.get_bit(ARDUCHIP_TRIG, CAP_DONE_MASK);
+        }
+    
+        bool readImageToBuffer(byte **buffer, uint32_t &buffer_length)
+        {
+            if (!captureReady()) return false;
+    
+            // Get the image file length
+            uint32_t length = _arducam.read_fifo_length();
+            buffer_length = length;
+    
+            if (length >= MAX_FIFO_SIZE)
+            {
+                return false;
+            }
+            if (length == 0)
+            {
+                return false;
+            }
+    
+            // create the buffer
+            byte *buf = new byte[length];
+    
+            uint8_t temp = 0, temp_last = 0;
+            int i = 0;
+            uint32_t buffer_pos = 0;
+            bool is_header = false;
+    
+            _arducam.CS_LOW();
+            _arducam.set_fifo_burst();
+            
+            while (length--)
+            {
+                temp_last = temp;
+                temp = SPI.transfer(0x00);
+                //Read JPEG data from FIFO
+                if ((temp == 0xD9) && (temp_last == 0xFF)) //If find the end ,break while,
+                {
+                    buf[buffer_pos] = temp;
+    
+                    buffer_pos++;
+                    i++;
+                    
+                    _arducam.CS_HIGH();
+                }
+                if (is_header == true)
+                {
+                    //Write image data to buffer if not full
+                    if (i < 256)
+                    {
+                        buf[buffer_pos] = temp;
+                        buffer_pos++;
+                        i++;
+                    }
+                    else
+                    {
+                        _arducam.CS_HIGH();
+    
+                        i = 0;
+                        buf[buffer_pos] = temp;
+    
+                        buffer_pos++;
+                        i++;
+    
+                        _arducam.CS_LOW();
+                        _arducam.set_fifo_burst();
+                    }
+                }
+                else if ((temp == 0xD8) & (temp_last == 0xFF))
+                {
+                    is_header = true;
+    
+                    buf[buffer_pos] = temp_last;
+                    buffer_pos++;
+                    i++;
+    
+                    buf[buffer_pos] = temp;
+                    buffer_pos++;
+                    i++;
+                }
+            }
+            
+            _arducam.clear_fifo_flag();
+    
+            _arducam.set_format(_format);
+            _arducam.InitCAM();
+            _arducam.OV2640_set_JPEG_size(_image_size);
+    
+            // return the buffer
+            *buffer = buf;
+        }
+    
+    private:
+        ArduCAM _arducam;
+        int _format;
+        int _image_size;
+    };
+    ```
+
+    Dis na low level code wey dey configure di camera using di ArduCam libraries, and dey extract di images when e need am using di SPI bus. Dis code dey very specific to di ArduCam, so you no need worry about how e dey work for now.
+
+1. For `main.cpp`, add di following code under di other `include` statements to include dis new file and create instance of di camera class:
+
+    ```cpp
+    #include "camera.h"
+
+    Camera camera = Camera(JPEG, OV2640_640x480);
+    ```
+
+    Dis dey create `Camera` wey dey save di images as JPEGs for resolution of 640 by 480. Even though higher resolutions dey supported (up to 3280x2464), di image classifier dey work for smaller images (227x227) so e no dey necessary to capture and send bigger images.
+
+1. Add di following code under dis to define function to setup di camera:
+
+    ```cpp
+    void setupCamera()
+    {
+        pinMode(PIN_SPI_SS, OUTPUT);
+        digitalWrite(PIN_SPI_SS, HIGH);
+    
+        Wire.begin();
+        SPI.begin();
+    
+        if (!camera.init())
+        {
+            Serial.println("Error setting up the camera!");
+        }
+    }
+    ```
+
+    Dis `setupCamera` function dey start by configuring di SPI chip select pin (`PIN_SPI_SS`) as high, making di Wio Terminal di SPI controller. E then dey start di I<sup>2</sup>C and SPI buses. Finally, e dey initialize di camera class wey dey configure di camera sensor settings and make sure say everything dey wired correctly.
+
+1. Call dis function for di end of di `setup` function:
+
+    ```cpp
+    setupCamera();
+    ```
+
+1. Build and upload dis code, and check di output from di serial monitor. If you see `Error setting up the camera!` then check di wiring to make sure say all cables dey connect di correct pins for di ArduCam to di correct GPIO pins for di Wio Terminal, and all jumper cables dey seated well.
+
+## Capture image
+
+Di Wio Terminal fit now dey programmed to capture image when you press button.
+
+### Task - capture image
+
+1. Microcontrollers dey run your code continuously, so e no dey easy to trigger something like taking photo without reacting to sensor. Di Wio Terminal get buttons, so di camera fit dey setup to dey triggered by one of di buttons. Add di following code to di end of di `setup` function to configure di C button (one of di three buttons for di top, di one wey dey close to di power switch).
+
+    ![Di C button for di top close to di power switch](../../../../../translated_images/wio-terminal-c-button.73df3cb1c1445ea07ee98316af0e7925fcb43135df0abed58d3d4822b2589c3b.pcm.png)
+
+    ```cpp
+    pinMode(WIO_KEY_C, INPUT_PULLUP);
+    ```
+
+    Di mode of `INPUT_PULLUP` dey invert input. For example, normally button go send low signal when e no press, and high signal when e press. When e set to `INPUT_PULLUP`, e go send high signal when e no press, and low signal when e press.
+
+1. Add empty function to respond to di button press before di `loop` function:
+
+    ```cpp
+    void buttonPressed()
+    {
+        
+    }
+    ```
+
+1. Call dis function for di `loop` method when di button dey pressed:
+
+    ```cpp
+    void loop()
+    {
+        if (digitalRead(WIO_KEY_C) == LOW)
+        {
+            buttonPressed();
+            delay(2000);
+        }
+    
+        delay(200);
+    }
+    ```
+
+    Dis key dey check if di button dey pressed. If e dey pressed, di `buttonPressed` function go dey called, and di loop go delay for 2 seconds. Dis na to give time for di button to release so say long press no go register twice.
+
+    > 💁 Di button for di Wio Terminal dey set to `INPUT_PULLUP`, so e dey send high signal when e no press, and low signal when e press.
+
+1. Add di following code to di `buttonPressed` function:
+
+    ```cpp
+    camera.startCapture();
+ 
+    while (!camera.captureReady())
+        delay(100);
+
+    Serial.println("Image captured");
+
+    byte *buffer;
+    uint32_t length;
+
+    if (camera.readImageToBuffer(&buffer, length))
+    {
+        Serial.print("Image read to buffer with length ");
+        Serial.println(length);
+
+        delete(buffer);
+    }
+    ```
+
+    Dis code dey start di camera capture by calling `startCapture`. Di camera hardware no dey work by returning di data when you request am, instead you dey send instruction to start capturing, and di camera go dey work for background to capture di image, convert am to JPEG, and store am for local buffer for di camera itself. Di `captureReady` call dey check if di image capture don finish.
+
+    Once di capture don finish, di image data dey copy from di buffer for di camera enter local buffer (array of bytes) with di `readImageToBuffer` call. Di length of di buffer go then dey sent to di serial monitor.
+
+1. Build and upload dis code, and check di output for di serial monitor. Every time you press di C button, image go dey captured and you go see di image size wey dem send to di serial monitor.
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Image captured
+    Image read to buffer with length 9224
+    Image captured
+    Image read to buffer with length 11272
+    ```
+
+    Different images go get different sizes. Dem dey compress as JPEGs and di size of JPEG file for given resolution dey depend on wetin dey di image.
+
+> 💁 You fit find dis code for di [code-camera/wio-terminal](../../../../../4-manufacturing/lessons/2-check-fruit-from-device/code-camera/wio-terminal) folder.
+
+😀 You don successfully capture images with your Wio Terminal.
+
+## Optional - verify di camera images using SD card
+
+Di easiest way to see di images wey di camera capture na to write dem to SD card for di Wio Terminal and then view dem for your computer. Do dis step if you get spare microSD card and microSD card socket for your computer, or adapter.
+
+Di Wio Terminal only dey support microSD cards wey no pass 16GB size. If you get bigger SD card, e no go work.
+
+### Task - verify di camera images using SD card
+
+1. Format microSD card as FAT32 or exFAT using di relevant applications for your computer (Disk Utility for macOS, File Explorer for Windows, or using command line tools for Linux).
+
+1. Insert di microSD card for di socket wey dey just below di power switch. Make sure say e enter well until e click and stay for place, you fit need push am using fingernail or thin tool.
+
+1. Add di following include statements for di top of di `main.cpp` file:
+
+    ```cpp
+    #include "SD/Seeed_SD.h"
+    #include <Seeed_FS.h>
+    ```
+
+1. Add di following function before di `setup` function:
+
+    ```cpp
+    void setupSDCard()
+    {
+        while (!SD.begin(SDCARD_SS_PIN, SDCARD_SPI))
+        {
+            Serial.println("SD Card Error");
+        }
+    }
+    ```
+
+    Dis dey configure di SD card using di SPI bus.
+
+1. Call dis from di `setup` function:
+
+    ```cpp
+    setupSDCard();
+    ```
+
+1. Add di following code above di `buttonPressed` function:
+
+    ```cpp
+    int fileNum = 1;
+
+    void saveToSDCard(byte *buffer, uint32_t length)
+    {
+        char buff[16];
+        sprintf(buff, "%d.jpg", fileNum);
+        fileNum++;
+    
+        File outFile = SD.open(buff, FILE_WRITE );
+        outFile.write(buffer, length);
+        outFile.close();
+
+        Serial.print("Image written to file ");
+        Serial.println(buff);
+    }
+    ```
+
+    Dis dey define global variable for file count. Dis dey used for di image file names so say multiple images fit dey captured with incrementing file names - `1.jpg`, `2.jpg` and so on.
+
+    E then dey define di `saveToSDCard` wey dey take buffer of byte data, and di length of di buffer. File name go dey created using di file count, and di file count go dey increment ready for di next file. Di binary data from di buffer go then dey written to di file.
+
+1. Call di `saveToSDCard` function from di `buttonPressed` function. Di call suppose dey **before** di buffer dey deleted:
+
+    ```cpp
+    Serial.print("Image read to buffer with length ");
+    Serial.println(length);
+
+    saveToSDCard(buffer, length);
+    
+    delete(buffer);
+    ```
+
+1. Build and upload dis code, and check di output for di serial monitor. Every time you press di C button, image go dey captured and saved to di SD card.
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Image captured
+    Image read to buffer with length 16392
+    Image written to file 1.jpg
+    Image captured
+    Image read to buffer with length 14344
+    Image written to file 2.jpg
+    ```
+
+1. Power off di microSD card and eject am by pushing am small and releasing, e go pop out. You fit need use thin tool to do dis. Plug di microSD card enter your computer to view di images.
+
+    ![A picture of a banana captured using di ArduCam](../../../../../translated_images/banana-arducam.be1b32d4267a8194b0fd042362e56faa431da9cd4af172051b37243ea9be0256.pcm.jpg)
+
+    > 💁 E fit take few images for di white balance of di camera to adjust itself. You go notice dis based on di color of di images wey dem capture, di first few fit look off color. You fit always work around dis by changing di code to capture few images wey dem go ignore for di `setup` function.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di main source. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md
new file mode 100644
index 000000000..58df314a1
--- /dev/null
+++ b/translations/pcm/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md
@@ -0,0 +1,231 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "32a1f23e7834fbe7715da8c4ebb450b9",
+  "translation_date": "2025-11-18T18:55:10+00:00",
+  "source_file": "4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md",
+  "language_code": "pcm"
+}
+-->
+# Classify Image - Wio Terminal
+
+For dis part of di lesson, you go send di image wey di camera capture go di Custom Vision service to classify am.
+
+## Classify Image
+
+Di Custom Vision service get REST API wey you fit call from Wio Terminal to classify images. Dis REST API dey work through HTTPS connection - na secure HTTP connection.
+
+When you dey interact with HTTPS endpoints, di client code go need request di public key certificate from di server wey e dey access, and use am encrypt di traffic wey e dey send. Your web browser dey do dis one automatically, but microcontrollers no dey do am. You go need request dis certificate manually and use am create secure connection to di REST API. Dis certificates no dey change, so once you don get di certificate, you fit hard code am for your application.
+
+Dis certificates get public keys, and no need to dey hide dem. You fit use dem for your source code and share dem publicly for places like GitHub.
+
+### Task - Set up SSL client
+
+1. Open di `fruit-quality-detector` app project if e never dey open.
+
+1. Open di `config.h` header file, and add dis one:
+
+    ```cpp
+    const char *CERTIFICATE =
+        "-----BEGIN CERTIFICATE-----\r\n"
+        "MIIF8zCCBNugAwIBAgIQAueRcfuAIek/4tmDg0xQwDANBgkqhkiG9w0BAQwFADBh\r\n"
+        "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+        "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+        "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+        "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+        "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwNjCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+        "ggIPADCCAgoCggIBALVGARl56bx3KBUSGuPc4H5uoNFkFH4e7pvTCxRi4j/+z+Xb\r\n"
+        "wjEz+5CipDOqjx9/jWjskL5dk7PaQkzItidsAAnDCW1leZBOIi68Lff1bjTeZgMY\r\n"
+        "iwdRd3Y39b/lcGpiuP2d23W95YHkMMT8IlWosYIX0f4kYb62rphyfnAjYb/4Od99\r\n"
+        "ThnhlAxGtfvSbXcBVIKCYfZgqRvV+5lReUnd1aNjRYVzPOoifgSx2fRyy1+pO1Uz\r\n"
+        "aMMNnIOE71bVYW0A1hr19w7kOb0KkJXoALTDDj1ukUEDqQuBfBxReL5mXiu1O7WG\r\n"
+        "0vltg0VZ/SZzctBsdBlx1BkmWYBW261KZgBivrql5ELTKKd8qgtHcLQA5fl6JB0Q\r\n"
+        "gs5XDaWehN86Gps5JW8ArjGtjcWAIP+X8CQaWfaCnuRm6Bk/03PQWhgdi84qwA0s\r\n"
+        "sRfFJwHUPTNSnE8EiGVk2frt0u8PG1pwSQsFuNJfcYIHEv1vOzP7uEOuDydsmCjh\r\n"
+        "lxuoK2n5/2aVR3BMTu+p4+gl8alXoBycyLmj3J/PUgqD8SL5fTCUegGsdia/Sa60\r\n"
+        "N2oV7vQ17wjMN+LXa2rjj/b4ZlZgXVojDmAjDwIRdDUujQu0RVsJqFLMzSIHpp2C\r\n"
+        "Zp7mIoLrySay2YYBu7SiNwL95X6He2kS8eefBBHjzwW/9FxGqry57i71c2cDAgMB\r\n"
+        "AAGjggGtMIIBqTAdBgNVHQ4EFgQU1cFnOsKjnfR3UltZEjgp5lVou6UwHwYDVR0j\r\n"
+        "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+        "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+        "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+        "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+        "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+        "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+        "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+        "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+        "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQB2oWc93fB8esci/8esixj++N22meiGDjgF\r\n"
+        "+rA2LUK5IOQOgcUSTGKSqF9lYfAxPjrqPjDCUPHCURv+26ad5P/BYtXtbmtxJWu+\r\n"
+        "cS5BhMDPPeG3oPZwXRHBJFAkY4O4AF7RIAAUW6EzDflUoDHKv83zOiPfYGcpHc9s\r\n"
+        "kxAInCedk7QSgXvMARjjOqdakor21DTmNIUotxo8kHv5hwRlGhBJwps6fEVi1Bt0\r\n"
+        "trpM/3wYxlr473WSPUFZPgP1j519kLpWOJ8z09wxay+Br29irPcBYv0GMXlHqThy\r\n"
+        "8y4m/HyTQeI2IMvMrQnwqPpY+rLIXyviI2vLoI+4xKE4Rn38ZZ8m\r\n"
+        "-----END CERTIFICATE-----\r\n";
+    ```
+
+    Dis na *Microsoft Azure DigiCert Global Root G2 certificate* - e be one of di certificates wey many Azure services dey use globally.
+
+    > 💁 To confirm say na dis certificate you go use, run dis command for macOS or Linux. If you dey use Windows, you fit run dis command with [Windows Subsystem for Linux (WSL)](https://docs.microsoft.com/windows/wsl/?WT.mc_id=academic-17441-jabenn):
+    >
+    > ```sh
+    > openssl s_client -showcerts -verify 5 -connect api.cognitive.microsoft.com:443
+    > ```
+    >
+    > Di output go show di DigiCert Global Root G2 certificate.
+
+1. Open `main.cpp` and add dis include directive:
+
+    ```cpp
+    #include <WiFiClientSecure.h>
+    ```
+
+1. Under di include directives, declare one instance of `WifiClientSecure`:
+
+    ```cpp
+    WiFiClientSecure client;
+    ```
+
+    Dis class get code wey dey help communicate with web endpoints through HTTPS.
+
+1. For di `connectWiFi` method, set di WiFiClientSecure to use di DigiCert Global Root G2 certificate:
+
+    ```cpp
+    client.setCACert(CERTIFICATE);
+    ```
+
+### Task - Classify Image
+
+1. Add dis one as extra line for di `lib_deps` list for di `platformio.ini` file:
+
+    ```ini
+    bblanchon/ArduinoJson @ 6.17.3
+    ```
+
+    Dis one go import [ArduinoJson](https://arduinojson.org), one Arduino JSON library, wey go help decode di JSON response from di REST API.
+
+1. For `config.h`, add constants for di prediction URL and Key from di Custom Vision service:
+
+    ```cpp
+    const char *PREDICTION_URL = "<PREDICTION_URL>";
+    const char *PREDICTION_KEY = "<PREDICTION_KEY>";
+    ```
+
+    Replace `<PREDICTION_URL>` with di prediction URL from Custom Vision. Replace `<PREDICTION_KEY>` with di prediction key.
+
+1. For `main.cpp`, add include directive for di ArduinoJson library:
+
+    ```cpp
+    #include <ArduinoJSON.h>
+    ```
+
+1. Add dis function to `main.cpp`, above di `buttonPressed` function.
+
+    ```cpp
+    void classifyImage(byte *buffer, uint32_t length)
+    {
+        HTTPClient httpClient;
+        httpClient.begin(client, PREDICTION_URL);
+        httpClient.addHeader("Content-Type", "application/octet-stream");
+        httpClient.addHeader("Prediction-Key", PREDICTION_KEY);
+    
+        int httpResponseCode = httpClient.POST(buffer, length);
+    
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+    
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+    
+            JsonObject obj = doc.as<JsonObject>();
+            JsonArray predictions = obj["predictions"].as<JsonArray>();
+    
+            for(JsonVariant prediction : predictions) 
+            {
+                String tag = prediction["tagName"].as<String>();
+                float probability = prediction["probability"].as<float>();
+    
+                char buff[32];
+                sprintf(buff, "%s:\t%.2f%%", tag.c_str(), probability * 100.0);
+                Serial.println(buff);
+            }
+        }
+    
+        httpClient.end();
+    }
+    ```
+
+    Dis code go first declare one `HTTPClient` - one class wey get methods to interact with REST APIs. E go then connect di client to di prediction URL using di `WiFiClientSecure` instance wey you don set up with di Azure public key.
+
+    Once e don connect, e go send headers - information about di request wey e go make against di REST API. Di `Content-Type` header dey show say di API call go send raw binary data, di `Prediction-Key` header dey pass di Custom Vision prediction key.
+
+    Next, e go make POST request to di HTTP client, upload one byte array. Dis one go contain di JPEG image wey di camera capture when dis function dey called.
+
+    > 💁 POST request na for sending data and getting response. Other request types dey like GET requests wey dey retrieve data. GET requests na wetin your web browser dey use load web pages.
+
+    Di POST request go return response status code. Dis codes get well-defined values, with 200 meaning **OK** - di POST request work well.
+
+    > 💁 You fit see all di response status codes for [List of HTTP status codes page for Wikipedia](https://wikipedia.org/wiki/List_of_HTTP_status_codes)
+
+    If 200 dey return, di result go dey read from di HTTP client. Dis na text response from di REST API with di prediction results as JSON document. Di JSON dey like dis:
+
+    ```jSON
+    {
+        "id":"45d614d3-7d6f-47e9-8fa2-04f237366a16",
+        "project":"135607e5-efac-4855-8afb-c93af3380531",
+        "iteration":"04f1c1fa-11ec-4e59-bb23-4c7aca353665",
+        "created":"2021-06-10T17:58:58.959Z",
+        "predictions":[
+            {
+                "probability":0.5582016,
+                "tagId":"05a432ea-9718-4098-b14f-5f0688149d64",
+                "tagName":"ripe"
+            },
+            {
+                "probability":0.44179836,
+                "tagId":"bb091037-16e5-418e-a9ea-31c6a2920f17",
+                "tagName":"unripe"
+            }
+        ]
+    }
+    ```
+
+    Di important part na di `predictions` array. Dis one get di predictions, with one entry for each tag wey get di tag name and di probability. Di probabilities wey dey return na floating point numbers from 0-1, with 0 meaning 0% chance say e match di tag, and 1 meaning 100% chance.
+
+    > 💁 Image classifiers dey return di percentages for all tags wey dem use. Each tag go get probability say di image match dat tag.
+
+    Dis JSON go decode, and di probabilities for each tag go dey send to di serial monitor.
+
+1. For di `buttonPressed` function, either replace di code wey dey save to di SD card with call to `classifyImage`, or add am after di image don write, but **before** di buffer dey delete:
+
+    ```cpp
+    classifyImage(buffer, length);
+    ```
+
+    > 💁 If you replace di code wey dey save to di SD card, you fit clean up your code remove di `setupSDCard` and `saveToSDCard` functions.
+
+1. Upload and run your code. Point di camera to some fruit and press di C button. You go see di output for di serial monitor:
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Image captured
+    Image read to buffer with length 8200
+    ripe:   56.84%
+    unripe: 43.16%
+    ```
+
+    You go fit see di image wey dem take, and dis values for di **Predictions** tab for Custom Vision.
+
+    ![Banana for custom vision wey predict ripe at 56.8% and unripe at 43.1%](../../../../../translated_images/custom-vision-banana-prediction.30cdff4e1d72db5d9a0be0193790a47c2b387da034e12dc1314dd57ca2131b59.pcm.png)
+
+> 💁 You fit find dis code for [code-classify/wio-terminal](../../../../../4-manufacturing/lessons/2-check-fruit-from-device/code-classify/wio-terminal) folder.
+
+😀 Your fruit quality classifier program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say machine transleshion fit get mistake or no dey correct well. Di original dokyument wey dey di native language na di main source wey you go fit trust. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretashon wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md b/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md
new file mode 100644
index 000000000..20256fec3
--- /dev/null
+++ b/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md
@@ -0,0 +1,627 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "2625af24587465c5547ae33d6cc000a5",
+  "translation_date": "2025-11-18T18:47:14+00:00",
+  "source_file": "4-manufacturing/lessons/3-run-fruit-detector-edge/README.md",
+  "language_code": "pcm"
+}
+-->
+# Run your fruit detector for edge
+
+![Overview of dis lesson](../../../../../translated_images/lesson-17.bc333c3c35ba8e42cce666cfffa82b915f787f455bd94e006aea2b6f2722421a.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis video dey show how image classifiers fit run for IoT devices, na wetin dis lesson dey talk about.
+
+[![Custom Vision AI for Azure IoT Edge](https://img.youtube.com/vi/_K5fqGLO8us/0.jpg)](https://www.youtube.com/watch?v=_K5fqGLO8us)
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/33)
+
+## Introduction
+
+For di last lesson, you use image classifier to sabi ripe and unripe fruit, you send di image wey camera for your IoT device capture go cloud service for internet. Dis kain calls dey take time, dey cost money, and e fit get privacy wahala depending on di kain image data wey you dey use.
+
+For dis lesson, you go learn how to run machine learning (ML) models for edge - for IoT devices wey dey your own network instead of di cloud. You go sabi di benefits and di wahala wey dey edge computing compared to cloud computing, how to deploy your AI model for edge, and how to use am from your IoT device.
+
+Dis lesson go cover:
+
+* [Edge computing](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Azure IoT Edge](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Register IoT Edge device](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Set up IoT Edge device](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Export your model](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Prepare container for deployment](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Deploy container](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+* [Use IoT Edge device](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge)
+
+## Edge computing
+
+Edge computing mean say computers go dey process IoT data close to where di data dey come from. Instead of processing for di cloud, e go dey for di edge of di cloud - your internal network.
+
+![Diagram wey show internet services for cloud and IoT devices for local network](../../../../../translated_images/cloud-without-edge.b4da641f6022c95ed6b91fde8b5323abd2f94e0d52073ad54172ae8f5dac90e9.pcm.png)
+
+For di lessons wey don pass, your devices dey gather data and dey send am go cloud to analyze am, dey run serverless functions or AI models for di cloud.
+
+![Diagram wey show IoT devices for local network wey dey connect to edge devices, and di edge devices dey connect to di cloud](../../../../../translated_images/cloud-with-edge.1e26462c62c126fe150bd15a5714ddf0be599f09bacbad08b85be02b76ea1ae1.pcm.png)
+
+Edge computing mean say some of di cloud services go move comot cloud go computers wey dey di same network as di IoT devices, dem go only talk to di cloud if e dey necessary. Example, you fit run AI models for edge devices to check fruit ripeness, and only send analytics go cloud, like di number of ripe fruit versus unripe.
+
+✅ Think about di IoT apps wey you don build before. Which part of dem fit move go edge?
+
+### Benefits
+
+Di benefits of edge computing na:
+
+1. **Speed** - edge computing dey good for data wey need quick action because e dey di same network as di device, instead of dey make calls go internet. E dey faster because internal networks dey run faster pass internet connections, and di data no dey travel far.
+
+    > 💁 Even though optical cables dey make internet data travel fast like light, e still dey take time for data to waka go cloud providers. Example, if you dey send data from Europe go US cloud services, e go take at least 28ms for di data to cross Atlantic, and dat one no include di time to convert di signals and reach di cloud provider.
+
+    Edge computing dey reduce network traffic, so e no go slow down because of congestion for di internet connection.
+
+1. **Remote accessibility** - edge compute dey work even if connectivity dey limited or dey expensive. Example, for humanitarian disaster areas or developing countries.
+
+1. **Lower costs** - if you dey collect, store, analyze data, and dey trigger actions for edge device, e go reduce di use of cloud services, wey fit make di IoT app cheaper. Nowadays, devices wey dey good for edge computing don dey plenty, like AI accelerator boards like [Jetson Nano from NVIDIA](https://developer.nvidia.com/embedded/jetson-nano-developer-kit), wey fit run AI workloads for less than $100.
+
+1. **Privacy and security** - edge compute dey keep data for your network, e no dey upload go cloud. Dis one dey good for sensitive or personal data, and e dey reduce di risk of data leaks. Example na medical data or security camera footage.
+
+1. **Handling insecure devices** - if you get devices wey get security wahala, you fit connect dem to separate network wey dey talk to gateway IoT Edge device. Di edge device fit connect to di wider network or internet and manage di data flow.
+
+1. **Support for incompatible devices** - if you get devices wey no fit connect to IoT Hub, like devices wey dey use HTTP or Bluetooth only, you fit use IoT edge device as gateway to forward di messages.
+
+✅ Do some research: Wetin be other benefits of edge computing?
+
+### Wahala
+
+Di wahala wey dey edge computing na where cloud fit better:
+
+1. **Scale and flexibility** - cloud fit adjust to network and data needs anytime by adding or reducing servers. To add more edge computers, you go need to manually add devices.
+
+1. **Reliability and resiliency** - cloud dey use multiple servers for different locations for backup and disaster recovery. To get di same level for edge, you go need plenty investment and work.
+
+1. **Maintenance** - cloud service providers dey handle system maintenance and updates.
+
+✅ Do some research: Wetin be other wahala of edge computing?
+
+Di wahala na di opposite of di benefits of cloud - you go need to build and manage di devices yourself instead of dey depend on cloud providers.
+
+Some risks dey reduce because of how edge computing dey work. Example, if edge device dey factory dey gather data from machines, you no need backup edge device if power go off, because di machines wey dey generate di data no go get power too.
+
+For IoT systems, you go need mix cloud and edge computing, use di one wey fit di system, customers, and maintainers.
+
+## Azure IoT Edge
+
+![Azure IoT Edge logo](../../../../../translated_images/azure-iot-edge-logo.c1c076749b5cba2e8755262fadc2f19ca1146b948d76990b1229199ac2292d79.pcm.png)
+
+Azure IoT Edge na service wey fit help you move workloads comot cloud go edge. You go set up device as edge device, and from di cloud you fit deploy code go di edge device. Dis one go allow you mix di cloud and edge capabilities.
+
+> 🎓 *Workloads* na any service wey dey do work, like AI models, apps, or serverless functions.
+
+Example, you fit train image classifier for cloud, then deploy am go edge device from di cloud. Your IoT device go dey send images go edge device for classification instead of internet. If you need new model version, you fit train am for cloud and use IoT Edge to update di edge device.
+
+> 🎓 Software wey dem deploy go IoT Edge na *modules*. IoT Edge dey run modules wey dey talk to IoT Hub, like `edgeAgent` and `edgeHub`. If you deploy image classifier, e go be extra module.
+
+IoT Edge dey inside IoT Hub, so you fit manage edge devices with di same service wey you dey use for IoT devices, with di same security level.
+
+IoT Edge dey run code from *containers* - self-contained apps wey dey run separate from di rest apps for your computer. When you run container, e dey act like separate computer inside your computer, with e own software, services, and apps. Most times, containers no fit access anything for your computer unless you share am, like folder. Di container go expose services via open port wey you fit connect to or expose to your network.
+
+![Web request wey dey redirect to container](../../../../../translated_images/container-web-browser.4ee81dd4f0d8838ce622b2a0d600b6a4322b5d4fe43159facd87b7b34f84d66a.pcm.png)
+
+Example, you fit get container wey dey run website for port 80, di default HTTP port, and expose am for your computer also for port 80.
+
+✅ Do some research: Read about containers and services like Docker or Moby.
+
+You fit use Custom Vision to download image classifiers and deploy dem as containers, either direct to device or via IoT Edge. Once dem dey run for container, you fit access dem with di same REST API as di cloud version, but di endpoint go dey point to di Edge device wey dey run di container.
+
+## Register IoT Edge device
+
+To use IoT Edge device, you go need register am for IoT Hub.
+
+### Task - register IoT Edge device
+
+1. Create IoT Hub for `fruit-quality-detector` resource group. Give am unique name wey dey related to `fruit-quality-detector`.
+
+1. Register IoT Edge device wey dem call `fruit-quality-detector-edge` for your IoT Hub. Di command dey similar to di one wey dem dey use register non-edge device, but you go add `--edge-enabled` flag.
+
+    ```sh
+    az iot hub device-identity create --edge-enabled \
+                                      --device-id fruit-quality-detector-edge \
+                                      --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name of your IoT Hub.
+
+1. Get di connection string for your device with dis command:
+
+    ```sh
+    az iot hub device-identity connection-string show --device-id fruit-quality-detector-edge \
+                                                      --output table \
+                                                      --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name of your IoT Hub.
+
+    Copy di connection string wey dey di output.
+
+## Set up IoT Edge device
+
+After you don create di edge device registration for IoT Hub, you fit set up di edge device.
+
+### Task - Install and start IoT Edge Runtime
+
+**IoT Edge runtime dey run Linux containers only.** E fit run for Linux, or for Windows with Linux Virtual Machines.
+
+* If you dey use Raspberry Pi as IoT device, e dey run supported Linux version and fit host IoT Edge runtime. Follow [install Azure IoT Edge for Linux guide for Microsoft docs](https://docs.microsoft.com/azure/iot-edge/how-to-install-iot-edge?WT.mc_id=academic-17441-jabenn) to install IoT Edge and set di connection string.
+
+    > 💁 Remember, Raspberry Pi OS na Debian Linux variant.
+
+* If you no dey use Raspberry Pi, but get Linux computer, you fit run IoT Edge runtime. Follow [install Azure IoT Edge for Linux guide for Microsoft docs](https://docs.microsoft.com/azure/iot-edge/how-to-install-iot-edge?WT.mc_id=academic-17441-jabenn) to install IoT Edge and set di connection string.
+
+* If you dey use Windows, you fit install IoT Edge runtime for Linux Virtual Machine by following [install and start IoT Edge runtime section for deploy your first IoT Edge module to Windows device quickstart for Microsoft docs](https://docs.microsoft.com/azure/iot-edge/quickstart?WT.mc_id=academic-17441-jabenn#install-and-start-the-iot-edge-runtime). Stop when you reach *Deploy a module* section.
+
+* If you dey use macOS, you fit create virtual machine (VM) for cloud to use as IoT Edge device. Dis na computers wey you fit create for cloud and access via internet. Create Linux VM wey get IoT Edge installed. Follow [create virtual machine wey dey run IoT Edge guide](vm-iotedge.md) for instructions.
+
+## Export your model
+
+To run classifier for edge, you go need export am from Custom Vision. Custom Vision fit generate two types of models - standard models and compact models. Compact models dey use techniques to reduce di model size, so e go small enough to download and deploy for IoT devices.
+Wen you create di image classifier, you use di *Food* domain, wey be one version of di model wey dem don optimize to train food images. For Custom Vision, you fit change di domain of your project, use di training data train new model wey get di new domain. All di domains wey Custom Vision support dey available as standard and compact.
+
+### Task - train your model using di Food (compact) domain
+
+1. Open di Custom Vision portal for [CustomVision.ai](https://customvision.ai) and sign in if e never dey open. Then open your `fruit-quality-detector` project.
+
+1. Click di **Settings** button (di ⚙ icon)
+
+1. For di *Domains* list, choose *Food (compact)*
+
+1. For *Export Capabilities*, make sure say *Basic platforms (Tensorflow, CoreML, ONNX, ...)* dey selected.
+
+1. For di bottom of di Settings page, click **Save Changes**.
+
+1. Retrain di model with di **Train** button, choose *Quick training*.
+
+### Task - export your model
+
+Wen di model don train finish, e go need to export am as container.
+
+1. Click di **Performance** tab, find di latest iteration wey dem train using di compact domain.
+
+1. Click di **Export** button for di top.
+
+1. Choose **DockerFile**, then select di version wey match your edge device:
+
+    * If you dey run IoT Edge for Linux computer, Windows computer or Virtual Machine, choose di *Linux* version.
+    * If you dey run IoT Edge for Raspberry Pi, choose di *ARM (Raspberry Pi 3)* version.
+
+    > 🎓 Docker na one of di most popular tools to manage containers, and DockerFile na set of instructions on how to set up di container.
+
+1. Click **Export** make Custom Vision create di files wey you need, then **Download** to download dem as zip file.
+
+1. Save di files for your computer, then unzip di folder.
+
+## Prepare your container for deployment
+
+![Containers dey build then dem dey push am go container registry, then dem dey deploy am from di container registry go edge device using IoT Edge](../../../../../translated_images/container-edge-flow.c246050dd60ceefdb6ace026a4ce5c6aa4112bb5898ae23fbb2ab4be29ae3e1b.pcm.png)
+
+Wen you don download your model, e go need to build am into container, then push am go container registry - na online place wey you fit store containers. IoT Edge go fit download di container from di registry and push am go your device.
+
+![Di Azure Container Registry logo](../../../../../translated_images/azure-container-registry-logo.09494206991d4b295025ebff7d4e2900325e527a59184ffbc8464b6ab59654be.pcm.png)
+
+Di container registry wey you go use for dis lesson na Azure Container Registry. Dis one no be free service, so to save money make sure say you [clean up your project](../../../clean-up.md) wen you don finish.
+
+> 💁 You fit see di cost to use Azure Container Registry for di [Azure Container Registry pricing page](https://azure.microsoft.com/pricing/details/container-registry/?WT.mc_id=academic-17441-jabenn)
+
+### Task - install Docker
+
+To build and deploy di classifier, you fit need to install [Docker](https://www.docker.com/).
+
+You go only need dis one if you wan build your container from different device from di one wey you install IoT Edge on - as part of di IoT Edge installation, Docker go dey installed for you.
+
+1. If you dey build di docker container for different device from your IoT Edge device, follow di Docker installation instructions for di [Docker install page](https://www.docker.com/products/docker-desktop) to install Docker Desktop or di Docker engine. Make sure say e dey run after installation.
+
+### Task - create container registry resource
+
+1. Run dis command from your Terminal or command prompt to create Azure Container Registry resource:
+
+    ```sh
+    az acr create --resource-group fruit-quality-detector \
+                  --sku Basic \
+                  --name <Container registry name>
+    ```
+
+    Replace `<Container registry name>` with unique name for your container registry, use only letters and numbers. Base am around `fruitqualitydetector`. Dis name go become part of di URL to access di container registry, so e need to dey globally unique.
+
+1. Log in to di Azure Container Registry with dis command:
+
+    ```sh
+    az acr login --name <Container registry name>
+    ```
+
+    Replace `<Container registry name>` with di name wey you use for your container registry.
+
+1. Set di container registry into admin mode so you fit generate password with dis command:
+
+    ```sh
+    az acr update --admin-enabled true \
+                 --name <Container registry name>
+    ```
+
+    Replace `<Container registry name>` with di name wey you use for your container registry.
+
+1. Generate passwords for your container registry with dis command:
+
+    ```sh
+     az acr credential renew --password-name password \
+                             --output table \
+                             --name <Container registry name>
+    ```
+
+    Replace `<Container registry name>` with di name wey you use for your container registry.
+
+    Copy di value of `PASSWORD`, you go need am later.
+
+### Task - build your container
+
+Wetin you download from Custom Vision na DockerFile wey get instructions on how di container go dey build, plus application code wey go run inside di container to host your custom vision model, plus REST API to call am. You fit use Docker to build tagged container from di DockerFile, then push am go your container registry.
+
+> 🎓 Containers dey get tag wey dey define name and version for dem. Wen you wan update container, you fit build am with di same tag but newer version.
+
+1. Open your terminal or command prompt and go di unzipped model wey you download from Custom Vision.
+
+1. Run dis command to build and tag di image:
+
+    ```sh
+    docker build --platform <platform> -t <Container registry name>.azurecr.io/classifier:v1 .
+    ```
+
+    Replace `<platform>` with di platform wey dis container go run on. If you dey run IoT Edge for Raspberry Pi, set am to `linux/armhf`, if not set am to `linux/amd64`.
+
+    > 💁 If you dey run dis command from di device wey you dey run IoT Edge from, like Raspberry Pi, you fit remove di `--platform <platform>` part as e go default to di current platform.
+
+    Replace `<Container registry name>` with di name wey you use for your container registry.
+
+    > 💁 If you dey run on Linux or Raspberry Pi OS you fit need to use `sudo` to run dis command.
+
+    Docker go build di image, configure all di software wey e need. Di image go then dey tagged as `classifier:v1`.
+
+    ```output
+    ➜  d4ccc45da0bb478bad287128e1274c3c.DockerFile.Linux docker build --platform linux/amd64 -t  fruitqualitydetectorjimb.azurecr.io/classifier:v1 .
+    [+] Building 102.4s (11/11) FINISHED
+     => [internal] load build definition from Dockerfile
+     => => transferring dockerfile: 131B
+     => [internal] load .dockerignore
+     => => transferring context: 2B
+     => [internal] load metadata for docker.io/library/python:3.7-slim
+     => [internal] load build context
+     => => transferring context: 905B
+     => [1/6] FROM docker.io/library/python:3.7-slim@sha256:b21b91c9618e951a8cbca5b696424fa5e820800a88b7e7afd66bba0441a764d6
+     => => resolve docker.io/library/python:3.7-slim@sha256:b21b91c9618e951a8cbca5b696424fa5e820800a88b7e7afd66bba0441a764d6
+     => => sha256:b4d181a07f8025e00e0cb28f1cc14613da2ce26450b80c54aea537fa93cf3bda 27.15MB / 27.15MB
+     => => sha256:de8ecf497b753094723ccf9cea8a46076e7cb845f333df99a6f4f397c93c6ea9 2.77MB / 2.77MB
+     => => sha256:707b80804672b7c5d8f21e37c8396f319151e1298d976186b4f3b76ead9f10c8 10.06MB / 10.06MB
+     => => sha256:b21b91c9618e951a8cbca5b696424fa5e820800a88b7e7afd66bba0441a764d6 1.86kB / 1.86kB
+     => => sha256:44073386687709c437586676b572ff45128ff1f1570153c2f727140d4a9accad 1.37kB / 1.37kB
+     => => sha256:3d94f0f2ca798607808b771a7766f47ae62a26f820e871dd488baeccc69838d1 8.31kB / 8.31kB
+     => => sha256:283715715396fd56d0e90355125fd4ec57b4f0773f306fcd5fa353b998beeb41 233B / 233B
+     => => sha256:8353afd48f6b84c3603ea49d204bdcf2a1daada15f5d6cad9cc916e186610a9f 2.64MB / 2.64MB
+     => => extracting sha256:b4d181a07f8025e00e0cb28f1cc14613da2ce26450b80c54aea537fa93cf3bda
+     => => extracting sha256:de8ecf497b753094723ccf9cea8a46076e7cb845f333df99a6f4f397c93c6ea9
+     => => extracting sha256:707b80804672b7c5d8f21e37c8396f319151e1298d976186b4f3b76ead9f10c8
+     => => extracting sha256:283715715396fd56d0e90355125fd4ec57b4f0773f306fcd5fa353b998beeb41
+     => => extracting sha256:8353afd48f6b84c3603ea49d204bdcf2a1daada15f5d6cad9cc916e186610a9f
+     => [2/6] RUN pip install -U pip
+     => [3/6] RUN pip install --no-cache-dir numpy~=1.17.5 tensorflow~=2.0.2 flask~=1.1.2 pillow~=7.2.0
+     => [4/6] RUN pip install --no-cache-dir mscviplib==2.200731.16
+     => [5/6] COPY app /app
+     => [6/6] WORKDIR /app
+     => exporting to image
+     => => exporting layers
+     => => writing image sha256:1846b6f134431f78507ba7c079358ed66d944c0e185ab53428276bd822400386
+     => => naming to fruitqualitydetectorjimb.azurecr.io/classifier:v1
+    ```
+
+### Task - push your container go container registry
+
+1. Use dis command to push your container go container registry:
+
+    ```sh
+    docker push <Container registry name>.azurecr.io/classifier:v1
+    ```
+
+    Replace `<Container registry name>` with di name wey you use for your container registry.
+
+    > 💁 If you dey run Linux you fit need to use `sudo` to run dis command.
+
+    Di container go dey pushed go di container registry.
+
+    ```output
+    ➜  d4ccc45da0bb478bad287128e1274c3c.DockerFile.Linux docker push fruitqualitydetectorjimb.azurecr.io/classifier:v1
+    The push refers to repository [fruitqualitydetectorjimb.azurecr.io/classifier]
+    5f70bf18a086: Pushed 
+    8a1ba9294a22: Pushed 
+    56cf27184a76: Pushed 
+    b32154f3f5dd: Pushed 
+    36103e9a3104: Pushed 
+    e2abb3cacca0: Pushed 
+    4213fd357bbe: Pushed 
+    7ea163ba4dce: Pushed 
+    537313a13d90: Pushed 
+    764055ebc9a7: Pushed 
+    v1: digest: sha256:ea7894652e610de83a5a9e429618e763b8904284253f4fa0c9f65f0df3a5ded8 size: 2423
+    ```
+
+1. To confirm di push, you fit list di containers for your registry with dis command:
+
+    ```sh
+    az acr repository list --output table \
+                           --name <Container registry name> 
+    ```
+
+    Replace `<Container registry name>` with di name wey you use for your container registry.
+
+    ```output
+    ➜  d4ccc45da0bb478bad287128e1274c3c.DockerFile.Linux az acr repository list --name fruitqualitydetectorjimb --output table
+    Result
+    ----------
+    classifier
+    ```
+
+    You go see your classifier for di output.
+
+## Deploy your container
+
+Your container fit now dey deployed go your IoT Edge device. To deploy am you go need to define deployment manifest - na JSON document wey dey list di modules wey go dey deployed go di edge device.
+
+### Task - create di deployment manifest
+
+1. Create new file wey dem call `deployment.json` for somewhere for your computer.
+
+1. Add dis one to di file:
+
+    ```json
+    {
+        "content": {
+            "modulesContent": {
+                "$edgeAgent": {
+                    "properties.desired": {
+                        "schemaVersion": "1.1",
+                        "runtime": {
+                            "type": "docker",
+                            "settings": {
+                                "minDockerVersion": "v1.25",
+                                "loggingOptions": "",
+                                "registryCredentials": {
+                                    "ClassifierRegistry": {
+                                        "username": "<Container registry name>",
+                                        "password": "<Container registry password>",
+                                        "address": "<Container registry name>.azurecr.io"
+                                      }
+                                }
+                            }
+                        },
+                        "systemModules": {
+                            "edgeAgent": {
+                                "type": "docker",
+                                "settings": {
+                                    "image": "mcr.microsoft.com/azureiotedge-agent:1.1",
+                                    "createOptions": "{}"
+                                }
+                            },
+                            "edgeHub": {
+                                "type": "docker",
+                                "status": "running",
+                                "restartPolicy": "always",
+                                "settings": {
+                                    "image": "mcr.microsoft.com/azureiotedge-hub:1.1",
+                                    "createOptions": "{\"HostConfig\":{\"PortBindings\":{\"5671/tcp\":[{\"HostPort\":\"5671\"}],\"8883/tcp\":[{\"HostPort\":\"8883\"}],\"443/tcp\":[{\"HostPort\":\"443\"}]}}}"
+                                }
+                            }
+                        },
+                        "modules": {
+                            "ImageClassifier": {
+                                "version": "1.0",
+                                "type": "docker",
+                                "status": "running",
+                                "restartPolicy": "always",
+                                "settings": {
+                                    "image": "<Container registry name>.azurecr.io/classifier:v1",
+                                    "createOptions": "{\"ExposedPorts\": {\"80/tcp\": {}},\"HostConfig\": {\"PortBindings\": {\"80/tcp\": [{\"HostPort\": \"80\"}]}}}"
+                                }
+                            }
+                        }
+                    }
+                },
+                "$edgeHub": {
+                    "properties.desired": {
+                        "schemaVersion": "1.1",
+                        "routes": {
+                            "upstream": "FROM /messages/* INTO $upstream"
+                        },
+                        "storeAndForwardConfiguration": {
+                            "timeToLiveSecs": 7200
+                        }
+                    }
+                }
+            }
+        }
+    }
+    ```
+
+    > 💁 You fit find dis file for di [code-deployment/deployment](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge/code-deployment/deployment) folder.
+
+    Replace di three instances of `<Container registry name>` with di name wey you use for your container registry. One dey for di `ImageClassifier` module section, di other two dey for di `registryCredentials` section.
+
+    Replace `<Container registry password>` for di `registryCredentials` section with your container registry password.
+
+1. From di folder wey get your deployment manifest, run dis command:
+
+    ```sh
+    az iot edge set-modules --device-id fruit-quality-detector-edge \
+                            --content deployment.json \
+                            --hub-name <hub_name>
+    ```
+
+    Replace `<hub_name>` with di name of your IoT Hub.
+
+    Di image classifier module go dey deployed go your edge device.
+
+### Task - confirm say di classifier dey run
+
+1. Connect to di IoT edge device:
+
+    * If you dey use Raspberry Pi to run IoT Edge, connect using ssh either from your terminal, or through remote SSH session for VS Code
+    * If you dey run IoT Edge for Linux container for Windows, follow di steps for di [verify successful configuration guide](https://docs.microsoft.com/azure/iot-edge/how-to-install-iot-edge-on-windows?WT.mc_id=academic-17441-jabenn&view=iotedge-2018-06&tabs=powershell#verify-successful-configuration) to connect to di IoT Edge device.
+    * If you dey run IoT Edge for virtual machine, you fit SSH into di machine using di `adminUsername` and `password` wey you set wen you dey create di VM, and use either di IP address or DNS name:
+
+        ```sh
+        ssh <adminUsername>@<IP address>
+        ```
+
+        Or:
+
+        ```sh
+        ssh <adminUsername>@<DNS Name>
+        ```
+
+        Enter your password wen dem ask.
+
+1. Wen you don connect, run dis command to get di list of IoT Edge modules:
+
+    ```sh
+    iotedge list
+    ```
+
+    > 💁 You fit need to run dis command with `sudo`.
+
+    You go see di running modules:
+
+    ```output
+    jim@fruit-quality-detector-jimb:~$ iotedge list
+    NAME             STATUS           DESCRIPTION      CONFIG
+    ImageClassifier  running          Up 42 minutes    fruitqualitydetectorjimb.azurecr.io/classifier:v1
+    edgeAgent        running          Up 42 minutes    mcr.microsoft.com/azureiotedge-agent:1.1
+    edgeHub          running          Up 42 minutes    mcr.microsoft.com/azureiotedge-hub:1.1
+    ```
+
+1. Check di logs for di Image classifier module with dis command:
+
+    ```sh
+    iotedge logs ImageClassifier
+    ```
+
+    > 💁 You fit need to run dis command with `sudo`.
+
+    ```output
+    jim@fruit-quality-detector-jimb:~$ iotedge logs ImageClassifier
+    2021-07-05 20:30:15.387144: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
+    2021-07-05 20:30:15.392185: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2394450000 Hz
+    2021-07-05 20:30:15.392712: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55ed9ac83470 executing computations on platform Host. Devices:
+    2021-07-05 20:30:15.392806: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Host, Default Version
+    Loading model...Success!
+    Loading labels...2 found. Success!
+     * Serving Flask app "app" (lazy loading)
+     * Environment: production
+       WARNING: This is a development server. Do not use it in a production deployment.
+       Use a production WSGI server instead.
+     * Debug mode: off
+     * Running on http://0.0.0.0:80/ (Press CTRL+C to quit)
+    ```
+
+### Task - test di image classifier
+
+1. You fit use CURL to test di image classifier using di IP address or host name of di computer wey dey run di IoT Edge agent. Find di IP address:
+
+    * If you dey on di same machine wey IoT Edge dey run, you fit use `localhost` as di host name.
+    * If you dey use VM, you fit use either di IP address or di DNS name of di VM
+    * If not, you fit get di IP address of di machine wey dey run IoT Edge:
+      * For Windows 10, follow di [find your IP address guide](https://support.microsoft.com/windows/find-your-ip-address-f21a9bbc-c582-55cd-35e0-73431160a1b9?WT.mc_id=academic-17441-jabenn)
+      * For macOS, follow di [how to find you IP address on a Mac guide](https://www.hellotech.com/guide/for/how-to-find-ip-address-on-mac)
+      * For linux, follow di section on finding your private IP address for di [how to find your IP address in Linux guide](https://opensource.com/article/18/5/how-find-ip-address-linux)
+
+1. You fit test di container with local file by running dis curl command:
+
+    ```sh
+    curl --location \
+         --request POST 'http://<IP address or name>/image' \
+         --header 'Content-Type: image/png' \
+         --data-binary '@<file_Name>' 
+    ```
+
+    Replace `<IP address or name>` with di IP address or host name of di computer wey dey run IoT Edge. Replace `<file_Name>` with di name of di file to test.
+
+    You go see di prediction results for di output:
+
+    ```output
+    {
+        "created": "2021-07-05T21:44:39.573181",
+        "id": "",
+        "iteration": "",
+        "predictions": [
+            {
+                "boundingBox": null,
+                "probability": 0.9995615482330322,
+                "tagId": "",
+                "tagName": "ripe"
+            },
+            {
+                "boundingBox": null,
+                "probability": 0.0004384400090202689,
+                "tagId": "",
+                "tagName": "unripe"
+            }
+        ],
+        "project": ""
+    }
+    ```
+
+    > 💁 No need to provide prediction key here, as dis one no dey use Azure resource. Instead security go dey configured for di internal network based on internal security needs, no be public endpoint and API key.
+
+## Use your IoT Edge device
+
+Now wey your Image Classifier don dey deployed go IoT Edge device, you fit use am from your IoT device.
+
+### Task - use your IoT Edge device
+
+Follow di correct guide to classify images using di IoT Edge classifier:
+
+* [Arduino - Wio Terminal](wio-terminal.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer.md)
+
+### Model retraining
+
+One downside to run image classifiers for IoT Edge na say dem no dey connected to your Custom Vision project. If you check di **Predictions** tab for Custom Vision you no go see di images wey dem classify using di Edge-based classifier.
+
+Dis na di expected behavior - images no dey go cloud for classification, so dem no go dey available for di cloud. One upside of using IoT Edge na privacy, e dey make sure say images no dey leave your network, another na say e fit work offline, so no need to upload images wen di device no get internet connection. Di downside na to improve your model - you go need to implement another way to store images wey fit dey manually re-classified to improve and re-train di image classifier.
+
+✅ Think about ways to upload images to retrain di classifier.
+
+---
+
+## 🚀 Challenge
+
+To run AI models for edge devices fit fast pass di cloud - di network hop dey shorter. E fit also slow because di hardware wey dey run di model fit no strong reach di cloud.
+
+Do some timing and compare if di call to your edge device fast or slow pass di call to di cloud? Think about reasons wey fit explain di difference, or why e no get difference. Research ways to run AI models faster for di edge using special hardware.
+
+## Post-lecture quiz
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/34)
+
+## Review & Self Study
+
+* Make you read more about containers for di [OS-level virtualization page for Wikipedia](https://wikipedia.org/wiki/OS-level_virtualization)
+* Check more about edge computing, especially how 5G fit help grow edge computing for di [wetin be edge computing and why e matter? article for NetworkWorld](https://www.networkworld.com/article/3224893/what-is-edge-computing-and-how-its-changing-the-network.html)
+* Learn more about how to run AI services for IoT Edge by watching di [learn how to use Azure IoT Edge for pre-built AI service for di Edge to do language detection episode for Learn Live for Microsoft Channel9](https://channel9.msdn.com/Shows/Learn-Live/Sharpen-Your-AI-Edge-Skills-Episode-4-Learn-How-to-Use-Azure-IoT-Edge-on-a-Pre-Built-AI-Service-on-t?WT.mc_id=academic-17441-jabenn)
+
+## Assignment
+
+[Run other services for di edge](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say transleshion wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong meaning wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/assignment.md b/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/assignment.md
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@@ -0,0 +1,29 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "cc7ad255517f5f618f9c8899e6ff6783",
+  "translation_date": "2025-11-18T18:48:50+00:00",
+  "source_file": "4-manufacturing/lessons/3-run-fruit-detector-edge/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Run oda services for edge
+
+## Instructions
+
+No be only image classifiers fit run for edge, anytin wey dem fit package inside container fit deploy go IoT Edge device. Serverless code wey dey run as Azure Functions, like di triggers wey you don create for di earlier lessons, fit run inside containers, and so e go fit run for IoT Edge.
+
+Choose one of di previous lessons and try run di Azure Functions app inside IoT Edge container. You fit find guide wey go show you how to do am using different Functions app project for dis [Tutorial: Deploy Azure Functions as IoT Edge modules on Microsoft docs](https://docs.microsoft.com/azure/iot-edge/tutorial-deploy-function?WT.mc_id=academic-17441-jabenn&view=iotedge-2020-11).
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Deploy Azure Functions app to IoT Edge | E fit deploy Azure Functions app to IoT Edge and use am with IoT device to run trigger from IoT data | E fit deploy Functions App to IoT Edge, but e no fit make di trigger fire | E no fit deploy Functions App to IoT Edge |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/single-board-computer.md b/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/single-board-computer.md
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@@ -0,0 +1,70 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "50151d9f9dce2801348a93880ef16d86",
+  "translation_date": "2025-11-18T18:49:16+00:00",
+  "source_file": "4-manufacturing/lessons/3-run-fruit-detector-edge/single-board-computer.md",
+  "language_code": "pcm"
+}
+-->
+# Classify one image wit IoT Edge image classifier - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go use di Image Classifier wey dey run for IoT Edge device.
+
+## Use di IoT Edge classifier
+
+Di IoT device fit redirect am to use di IoT Edge image classifier. Di URL for di Image Classifier na `http://<IP address or name>/image`, replace `<IP address or name>` wit di IP address or host name of di computer wey dey run IoT Edge.
+
+Di Python library for Custom Vision dey work only wit models wey dey cloud, e no dey work wit models wey dey IoT Edge. Dis one mean say you go need use di REST API to call di classifier.
+
+### Task - use di IoT Edge classifier
+
+1. Open di `fruit-quality-detector` project for VS Code if e never open. If you dey use virtual IoT device, make sure say di virtual environment don activate.
+
+1. Open di `app.py` file, and commot di import statements from `azure.cognitiveservices.vision.customvision.prediction` and `msrest.authentication`.
+
+1. Add dis import for di top of di file:
+
+    ```python
+    import requests
+    ```
+
+1. Delete all di code after di image don save for file, from `image_file.write(image.read())` go reach di end of di file.
+
+1. Add dis code for di end of di file:
+
+    ```python
+    prediction_url = '<URL>'
+    headers = {
+        'Content-Type' : 'application/octet-stream'
+    }
+    image.seek(0)
+    response = requests.post(prediction_url, headers=headers, data=image)
+    results = response.json()
+    
+    for prediction in results['predictions']:
+        print(f'{prediction["tagName"]}:\t{prediction["probability"] * 100:.2f}%')
+    ```
+
+    Replace `<URL>` wit di URL for your classifier.
+
+    Dis code go make REST POST request to di classifier, e go send di image as di body of di request. Di results go come back as JSON, and e go decode am to show di probabilities.
+
+1. Run your code, make your camera dey point to some fruit, or use correct image set, or fruit wey dey visible for your webcam if you dey use virtual IoT hardware. You go see di output for di console:
+
+    ```output
+    (.venv) ➜  fruit-quality-detector python app.py
+    ripe:   56.84%
+    unripe: 43.16%
+    ```
+
+> 💁 You fit find dis code for di [code-classify/pi](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/pi) or [code-classify/virtual-iot-device](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/virtual-iot-device) folder.
+
+😀 Your fruit quality classifier program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg make you sabi say machine transle-shon fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/vm-iotedge.md b/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/vm-iotedge.md
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@@ -0,0 +1,117 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "24dc783a600e20251211987b36370e93",
+  "translation_date": "2025-11-18T18:46:55+00:00",
+  "source_file": "4-manufacturing/lessons/3-run-fruit-detector-edge/vm-iotedge.md",
+  "language_code": "pcm"
+}
+-->
+# Create virtual machine wey dey run IoT Edge
+
+For Azure, you fit create virtual machine - na computer wey dey for cloud wey you fit configure anyhow you like and run your own software for am.
+
+> 💁 You fit read more about virtual machines for [Virtual Machine page for Wikipedia](https://wikipedia.org/wiki/Virtual_machine).
+
+## Task - Set up IoT Edge virtual machine
+
+1. Run dis command to create VM wey don get Azure IoT Edge pre-installed:
+
+    ```sh
+    az deployment group create \
+                --resource-group fruit-quality-detector \
+                --template-uri https://raw.githubusercontent.com/Azure/iotedge-vm-deploy/1.2.0/edgeDeploy.json \
+                --parameters dnsLabelPrefix=<vm_name> \
+                --parameters adminUsername=<username> \
+                --parameters deviceConnectionString="<connection_string>" \
+                --parameters authenticationType=password \
+                --parameters adminPasswordOrKey="<password>"
+    ```
+
+    Change `<vm_name>` to name wey you wan give dis virtual machine. E go need dey unique for everywhere, so use something like `fruit-quality-detector-vm-` with your name or another value for the end.
+
+    Change `<username>` and `<password>` to username and password wey you go use take log in to the VM. E need dey secure well, so you no fit use admin/password.
+
+    Change `<connection_string>` to connection string of your `fruit-quality-detector-edge` IoT Edge device.
+
+    Dis command go create VM wey be `DS1 v2` virtual machine. Dis category dey show how powerful the machine be, and how much e go cost. Dis VM get 1 CPU and 3.5GB RAM.
+
+    > 💰 You fit check the current price of dis VMs for [Azure Virtual Machine pricing guide](https://azure.microsoft.com/pricing/details/virtual-machines/linux/?WT.mc_id=academic-17441-jabenn)
+
+    Once the VM don create finish, IoT Edge runtime go install by itself, and e go configure make e connect to your IoT Hub as your `fruit-quality-detector-edge` device.
+
+1. You go need either the IP address or DNS name of the VM to call the image classifier from am. Run dis command to get am:
+
+    ```sh
+    az vm list --resource-group fruit-quality-detector \
+               --output table \
+               --show-details
+    ```
+
+    Copy either the `PublicIps` field, or the `Fqdns` field.
+
+1. VMs dey cost money. As at the time wey dem write dis, DS1 VM dey cost about $0.06 per hour. To reduce cost, you suppose shut down the VM when you no dey use am, and delete am when you don finish dis project.
+
+    You fit configure your VM make e dey shut down by itself for certain time every day. Dis one mean say if you forget to shut am down, you no go pay pass the time wey e go take reach the automatic shutdown. Use dis command to set am:
+
+    ```sh
+    az vm auto-shutdown --resource-group fruit-quality-detector \
+                        --name <vm_name> \
+                        --time <shutdown_time_utc>
+    ```
+
+    Change `<vm_name>` to the name of your virtual machine.
+
+    Change `<shutdown_time_utc>` to the UTC time wey you wan make the VM shut down using 4 digits as HHMM. For example, if you wan shutdown for midnight UTC, you go set am to `0000`. For 7:30PM for west coast of USA, you go use 0230 (7:30PM for US west coast na 2:30AM UTC).
+
+1. Your image classifier go dey run for dis edge device, dey listen for port 80 (the standard HTTP port). Normally, virtual machines dey block inbound ports, so you go need enable port 80. Ports dey enable for network security groups, so first you go need know the name of the network security group for your VM, wey you fit find with dis command:
+
+    ```sh
+    az network nsg list --resource-group fruit-quality-detector \
+                        --output table
+    ```
+
+    Copy the value of the `Name` field.
+
+1. Run dis command to add rule wey go open port 80 for the network security group:
+
+    ```sh
+    az network nsg rule create \
+                        --resource-group fruit-quality-detector \
+                        --name Port_80 \
+                        --protocol tcp \
+                        --priority 1010 \
+                        --destination-port-range 80 \
+                        --nsg-name <nsg name>
+    ```
+
+    Change `<nsg name>` to the network security group name wey you get from the previous step.
+
+### Task - manage your VM to reduce costs
+
+1. When you no dey use your VM, you suppose shut am down. To shut down the VM, use dis command:
+
+    ```sh
+    az vm deallocate --resource-group fruit-quality-detector \
+                     --name <vm_name>
+    ```
+
+    Change `<vm_name>` to the name of your virtual machine.
+
+    > 💁 E get `az vm stop` command wey fit stop the VM, but e go still keep the computer allocated to you, so you go still dey pay as if e still dey run.
+
+1. To restart the VM, use dis command:
+
+    ```sh
+    az vm start --resource-group fruit-quality-detector \
+                --name <vm_name>
+    ```
+
+    Change `<vm_name>` to the name of your virtual machine.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di main source. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong meaning wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/wio-terminal.md b/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/wio-terminal.md
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@@ -0,0 +1,68 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "48ac21ec80329c930db7b84bd6b592ec",
+  "translation_date": "2025-11-18T18:50:05+00:00",
+  "source_file": "4-manufacturing/lessons/3-run-fruit-detector-edge/wio-terminal.md",
+  "language_code": "pcm"
+}
+-->
+# Classify image wit IoT Edge based image classifier - Wio Terminal
+
+For dis part of di lesson, you go use di Image Classifier wey dey run for di IoT Edge device.
+
+## Use di IoT Edge classifier
+
+Di IoT device fit redirect to use di IoT Edge image classifier. Di URL for di Image Classifier na `http://<IP address or name>/image`, replace `<IP address or name>` wit di IP address or host name of di computer wey dey run IoT Edge.
+
+### Task - use di IoT Edge classifier
+
+1. Open di `fruit-quality-detector` app project if e never open before.
+
+1. Di image classifier dey run as REST API wey dey use HTTP, no be HTTPS, so di call go need use WiFi client wey fit work wit only HTTP calls. Dis one mean say certificate no dey needed. Delete di `CERTIFICATE` from di `config.h` file.
+
+1. Di prediction URL for di `config.h` file go need update to di new URL. You fit also delete di `PREDICTION_KEY` because e no dey needed.
+
+    ```cpp
+    const char *PREDICTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` wit di URL for your classifier.
+
+1. For `main.cpp`, change di include directive for di WiFi Client Secure to import di standard HTTP version:
+
+    ```cpp
+    #include <WiFiClient.h>
+    ```
+
+1. Change di declaration of `WiFiClient` to di HTTP version:
+
+    ```cpp
+    WiFiClient client;
+    ```
+
+1. Find di line wey set di certificate for di WiFi client. Remove di line `client.setCACert(CERTIFICATE);` from di `connectWiFi` function.
+
+1. For di `classifyImage` function, remove di `httpClient.addHeader("Prediction-Key", PREDICTION_KEY);` line wey dey set di prediction key for di header.
+
+1. Upload and run your code. Point di camera go some fruit and press di C button. You go see di output for di serial monitor:
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Image captured
+    Image read to buffer with length 8200
+    ripe:   56.84%
+    unripe: 43.16%
+    ```
+
+> 💁 You fit find dis code for di [code-classify/wio-terminal](../../../../../4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/wio-terminal) folder.
+
+😀 Your fruit quality classifier program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "f74f4ccb61f00e5f7e9f49c3ed416e36",
+  "translation_date": "2025-11-18T18:58:33+00:00",
+  "source_file": "4-manufacturing/lessons/4-trigger-fruit-detector/README.md",
+  "language_code": "pcm"
+}
+-->
+# Trigger fruit quality detection from sensor
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-18.92c32ed1d354caa5a54baa4032cf0b172d4655e8e326ad5d46c558a0def15365.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/35)
+
+## Introduction
+
+IoT application no be just one device wey dey capture data and send am go cloud, e dey involve plenty devices wey dey work together to capture data from di physical world using sensors, make decisions based on di data, and interact back wit di physical world through actuators or visualizations.
+
+For dis lesson, you go learn how to design complex IoT applications, add multiple sensors, use cloud services to analyze and store data, and show response through actuator. You go learn how to design fruit quality control system prototype, including how to use proximity sensors to trigger di IoT application, and wetin di architecture of dis prototype go be.
+
+For dis lesson we go cover:
+
+* [Design complex IoT applications](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector)
+* [Plan fruit quality control system](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector)
+* [Trigger fruit quality check from sensor](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector)
+* [Data wey fruit quality detector dey use](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector)
+* [Use developer devices to simulate plenty IoT devices](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector)
+* [Move to production](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector)
+
+> 🗑 Dis na di last lesson for dis project, so after you finish di lesson and assignment, no forget to clean up your cloud services. You go need di services to complete di assignment, so make sure say you finish am first.
+>
+> Check [di clean up your project guide](../../../clean-up.md) if you need instructions on how to do am.
+
+## Architect complex IoT applications
+
+IoT applications get plenty parts. E include different things and internet services.
+
+IoT applications fit be described as *things* (devices) wey dey send data wey dey generate *insights*. Dis *insights* dey generate *actions* to improve business or process. Example na engine (di thing) wey dey send temperature data. Dis data dey used to check if di engine dey work well (di insight). Di insight go help plan di maintenance schedule for di engine (di action).
+
+* Different things dey gather different data.
+* IoT services dey give insights from di data, sometimes dey add data from other sources.
+* Di insights dey drive actions, like controlling actuators for devices, or showing data.
+
+### Reference IoT architecture
+
+![A reference iot architecture](../../../../../translated_images/iot-reference-architecture.2278b98b55c6d4e89bde18eada3688d893861d43507641804dd2f9d3079cfaa0.pcm.png)
+
+Di diagram above show reference IoT architecture.
+
+> 🎓 A *reference architecture* na example architecture wey you fit use as guide when you dey design new systems. For dis case, if you wan build new IoT system, you fit follow di reference architecture, replace am wit your own devices and services where e dey necessary.
+
+* **Things** na devices wey dey gather data from sensors, maybe dey interact wit edge services to interpret di data, like image classifiers to interpret image data. Di data from di devices dey sent to IoT service.
+* **Insights** dey come from serverless applications, or from analytics wey dey run on stored data.
+* **Actions** fit be commands wey dem send to devices, or visualization of data wey go help humans make decisions.
+
+![A reference iot architecture](../../../../../translated_images/iot-reference-architecture-azure.0b8d2161af924cb18ae48a8558a19541cca47f27264851b5b7e56d7b8bb372ac.pcm.png)
+
+Di diagram above show some of di components and services wey we don cover so far for dis lessons and how dem dey connect for reference IoT architecture.
+
+* **Things** - you don write device code to capture data from sensors, and analyze images using Custom Vision wey dey run for di cloud and edge device. Dis data dey sent to IoT Hub.
+* **Insights** - you don use Azure Functions to respond to messages wey dem send to IoT Hub, and store data for later analysis for Azure Storage.
+* **Actions** - you don control actuators based on decisions wey dem make for di cloud and commands wey dem send to di devices, and you don visualize data using Azure Maps.
+
+✅ Think about other IoT devices wey you don use, like smart home appliances. Wetin be di things, insights and actions wey dey involved for di device and di software?
+
+Dis pattern fit scale big or small as you need, add more devices and services.
+
+### Data and security
+
+As you dey define di architecture of your system, you need to dey think about data and security.
+
+* Wetin be di data wey your device dey send and receive?
+* How you go secure and protect di data?
+* How you go control access to di device and cloud service?
+
+✅ Think about di data security of any IoT devices wey you get. How much of di data na personal and suppose dey private, both when e dey transit or when e dey stored? Wetin be di data wey no suppose dey stored?
+
+## Design a fruit quality control system
+
+Make we use dis idea of things, insights, and actions to design di fruit quality detector for bigger end-to-end application.
+
+Imagine say dem give you task to build fruit quality detector wey dem go use for processing plant. Fruit dey move for conveyor belt system where workers dey check di fruit by hand and dey remove unripe fruit as e dey arrive. To reduce cost, di plant owner wan automated system.
+
+✅ One trend wey dey rise wit IoT (and technology in general) na say manual jobs dey replaced by machines. Do small research: How many jobs dem estimate go lost to IoT? How many new jobs dem go create to build IoT devices?
+
+You need to build system wey go detect fruit as e dey arrive for conveyor belt, e go take photo and check am using AI model wey dey run for edge. Di results go dey sent to di cloud to store, and if di fruit no ripe, notification go dey given so dem fit remove di unripe fruit.
+
+|   |   |
+| - | - |
+| **Things** | Detector for fruit wey dey arrive for conveyor belt<br>Camera to take photo and classify di fruit<br>Edge device wey dey run di classifier<br>Device wey dey notify about unripe fruit |
+| **Insights** | Decide to check di ripeness of di fruit<br>Store di results of di ripeness classification<br>Check if e dey necessary to alert about unripe fruit |
+| **Actions** | Send command to device to take photo of di fruit and check am wit image classifier<br>Send command to device to alert say di fruit no ripe |
+
+### Prototyping your application
+
+![A reference iot architecture for fruit quality checking](../../../../../translated_images/iot-reference-architecture-fruit-quality.cc705f121c3b6fa71c800d9630935ac34bc08223a04601e35f41d5e9b5dd5207.pcm.png)
+
+Di diagram above show reference architecture for dis prototype application.
+
+* IoT device wit proximity sensor dey detect di arrival of fruit. E go send message to di cloud to talk say fruit don dey detected.
+* Serverless application for di cloud go send command to another device to take photo and classify di image.
+* IoT device wit camera go take picture and send am to image classifier wey dey run for edge. Di results go dey sent to di cloud.
+* Serverless application for di cloud go store dis information to analyze later to see di percentage of fruit wey no ripe. If di fruit no ripe, e go send command to another IoT device to alert factory workers say unripe fruit dey via LED.
+
+> 💁 Dis whole IoT application fit dey implemented as one device, wit all di logic to start di image classification and control di LED inside. E fit use IoT Hub just to track di number of unripe fruits wey dem detect and configure di device. For dis lesson, e dey expanded to show di concepts for large scale IoT applications.
+
+For di prototype, you go implement all dis for one device. If you dey use microcontroller, you go use separate edge device to run di image classifier. You don already learn most of di things wey you need to fit build dis.
+
+## Trigger fruit quality checking from sensor
+
+Di IoT device need trigger to show when fruit don ready to classify. One trigger fit be to measure when di fruit dey di correct location for conveyor belt by measuring di distance to sensor.
+
+![Proximity sensors send laser beams to objects like bananas and time how long till the beam is bounced back](../../../../../translated_images/proximity-sensor.f5cd752c77fb62fea000156233b32fd24fad3707ec69b8bdd8d312b7af85156d.pcm.png)
+
+Proximity sensors fit dey used to measure di distance from sensor to object. Dem dey usually send beam of electromagnetic radiation like laser beam or infra-red light, then detect di radiation wey bounce off object. Di time wey e take for di laser beam to send and di signal to bounce back fit dey used to calculate di distance to di sensor.
+
+> 💁 You don probably use proximity sensors before without even knowing. Most smartphones dey turn di screen off when you hold dem for ear to stop you from mistakenly ending call wit your earlobe, and dis dey work using proximity sensor, wey dey detect object close to di screen during call and dey disable di touch capabilities until di phone dey certain distance away.
+
+### Task - trigger fruit quality detection from distance sensor
+
+Follow di guide wey dey relevant to use proximity sensor to detect object using your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-proximity.md)
+* [Single-board computer - Raspberry Pi](pi-proximity.md)
+* [Single-board computer - Virtual device](virtual-device-proximity.md)
+
+## Data used for fruit quality detector
+
+Di prototype fruit detector get plenty components wey dey communicate wit each other.
+
+![The components communicating with each other](../../../../../translated_images/fruit-quality-detector-message-flow.adf2a65da8fd8741ac7af11361574de89adc126785d67606bb4d2ec00467e380.pcm.png)
+
+* Proximity sensor dey measure di distance to fruit and dey send am to IoT Hub
+* Di command to control di camera dey come from IoT Hub to di camera device
+* Di results of di image classification dey sent to IoT Hub
+* Di command to control LED to alert when di fruit no ripe dey sent from IoT Hub to di device wit di LED
+
+E good to define di structure of dis messages before you build di application.
+
+> 💁 Almost every experienced developer don spend hours, days or even weeks dey chase bugs wey dey caused by differences for di data wey dem dey send compared to wetin dem dey expect.
+
+For example - if you dey send temperature information, how you go define di JSON? You fit get field wey dem call `temperature`, or you fit use di common abbreviation `temp`.
+
+```json
+{
+    "temperature": 20.7
+}
+```
+
+compared to:
+
+```json
+{
+    "temp": 20.7
+}
+```
+
+You go also need to think about units - di temperature na °C or °F? If you dey measure temperature using consumer device and dem change di display units, you need to make sure say di units wey dem dey send to di cloud dey consistent.
+
+✅ Do small research: How unit problems take cause di $125 million Mars Climate Orbiter to crash?
+
+Think about di data wey dem dey send for di fruit quality detector. How you go define each message? Where you go analyze di data and make decisions about wetin data to send?
+
+For example - to trigger di image classification using proximity sensor. Di IoT device dey measure di distance, but where dem dey make di decision? Di device fit decide say di fruit don close enough and send message to IoT Hub to trigger di classification? Or e fit dey send proximity measurements and make IoT Hub decide?
+
+Di answer to dis kind question na - e depend. Each use case dey different, na why as IoT developer you need to understand di system wey you dey build, how dem dey use am, and di data wey dem dey detect.
+
+* If di decision dey made by IoT Hub, you go need to send plenty distance measurements.
+* If you dey send too many messages, e go increase di cost of IoT Hub, and di amount of bandwidth wey your IoT devices dey need (especially for factory wey get millions of devices). E fit also slow down your device.
+* If you dey make di decision for di device, you go need to provide way to configure di device to fine tune di machine.
+
+## Using developer devices to simulate plenty IoT devices
+
+To build your prototype, you go need your IoT dev kit to act like plenty devices, dey send telemetry and dey respond to commands.
+
+### Simulating plenty IoT devices on Raspberry Pi or virtual IoT hardware
+
+If you dey use single board computer like Raspberry Pi, you fit run plenty applications at once. Dis mean say you fit simulate plenty IoT devices by creating plenty applications, one per 'IoT device'. For example, you fit implement each device as separate Python file and run dem for different terminal sessions.
+
+> 💁 Make sure say you know say some hardware no go work if plenty applications dey run simultaneously dey access am.
+
+### Simulating plenty devices on microcontroller
+
+Microcontrollers dey more complicated to simulate plenty devices. Unlike single board computers, you no fit run plenty applications at once, you go need to include all di logic for all di separate IoT devices inside one application.
+
+Some suggestions to make dis process easier na:
+* Create one or more class for each IoT device - like class wey dem fit call `DistanceSensor`, `ClassifierCamera`, `LEDController`. Each one go get dia own `setup` and `loop` method wey main `setup` and `loop` function go dey call.
+* Make sure say command dey handle for one place, and direct am go the correct device class as e dey needed.
+* For the main `loop` function, you go need think about timing for each different device. For example, if one device class need process every 10 seconds, and another one need process every 1 second, then for your main `loop` function, use 1 second delay. Every `loop` call go trigger the correct code for the device wey need process every second, and use counter to count each loop, process the other device when counter reach 10 (then reset the counter after).
+
+## Moving to production
+
+The prototype go be the foundation for the final production system. Some of the difference wey go dey when you dey move to production na:
+
+* Ruggedized components - use hardware wey dem design to fit handle noise, heat, vibration, and stress wey dey for factory.
+* Use internal communication - some components go dey communicate directly instead of jumping go cloud, only send data go cloud to store am. How dem go do am go depend on the factory setup, whether na direct communication or by running part of the IoT service for edge using gateway device.
+* Configuration options - every factory and use case dey different, so the hardware go need dey configurable. For example, proximity sensor fit need detect different fruit for different distance. Instead of hard code the distance wey go trigger the classification, you go want make this one dey configurable through the cloud, like using device twin.
+* Automated fruit removal - instead of LED wey go alert say fruit no ripe, automated device go dey remove am.
+
+✅ Do some research: Wetin be other way wey production devices go different from developer kits?
+
+---
+
+## 🚀 Challenge
+
+For this lesson, you don learn some concept wey you need sabi on how to design IoT system. Think about the projects wey you don do before. How dem go fit into the reference architecture wey dem show above?
+
+Pick one of the projects wey you don do before and think about how you go design more complex solution wey go join plenty capability pass wetin dem cover for the projects. Draw the architecture and think about all the devices and services wey you go need.
+
+For example - vehicle tracking device wey go join GPS with sensor to monitor things like temperature for refrigerated truck, engine on and off time, and driver identity. Wetin be the devices wey dey involved, the services wey dey involved, the data wey dem dey transmit, and the security and privacy wey you go need consider?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/36)
+
+## Review & Self Study
+
+* Read more about IoT architecture for the [Azure IoT reference architecture documentation for Microsoft docs](https://docs.microsoft.com/azure/architecture/reference-architectures/iot?WT.mc_id=academic-17441-jabenn)
+* Read more about device twins for the [understand and use device twins in IoT Hub documentation for Microsoft docs](https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-device-twins?WT.mc_id=academic-17441-jabenn)
+* Read about OPC-UA, machine to machine communication protocol wey dem dey use for industrial automation for the [OPC-UA page for Wikipedia](https://wikipedia.org/wiki/OPC_Unified_Architecture)
+
+## Assignment
+
+[Build a fruit quality detector](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg sabi say AI transle-shon fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make professional human transle-shon dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/assignment.md b/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "1a85e50c33c38dcd2cde2a97d132f248",
+  "translation_date": "2025-11-18T19:01:12+00:00",
+  "source_file": "4-manufacturing/lessons/4-trigger-fruit-detector/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Build fruit quality detector
+
+## Instructions
+
+Make fruit quality detector!
+
+Use wetin you don learn so far take build prototype fruit quality detector. Make image classification dey trigger based on how close e dey using AI model wey dey run for edge, store di classification result for storage, and control LED based on di fruit ripeness.
+
+You suppose fit join all dis together using code wey you don write before for all di lessons wey don pass.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Configure all di services | Fit set up IoT Hub, Azure functions application and Azure storage | Fit set up IoT Hub, but no fit set up Azure functions app or Azure storage | No fit set up any internet IoT services |
+| Monitor proximity and send di data go IoT Hub if object dey closer than di pre-defined distance and trigger di camera via command | Fit measure distance and send message go IoT Hub when object dey close enough, and send command to trigger di camera | Fit measure proximity and send go IoT Hub, but no fit send command go di camera | No fit measure distance and send message go IoT Hub, or trigger command |
+| Capture image, classify am and send di results go IoT Hub | Fit capture image, classify am using edge device and send di results go IoT Hub | Fit classify di image but no use edge device, or no fit send di results go IoT Hub | No fit classify image |
+| Turn di LED on or off based on di classification results using command wey dem send go device | Fit turn LED on via command if di fruit no ripe | Fit send di command go di device but no fit control di LED | No fit send command to control di LED |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make di transle-shon correct, abeg make you sabi say machine transle-shon fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md b/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "6145a1d791731c8a9d0afd0a1bae5108",
+  "translation_date": "2025-11-18T19:00:30+00:00",
+  "source_file": "4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md",
+  "language_code": "pcm"
+}
+-->
+# Detect proximity - Raspberry Pi
+
+For dis part of di lesson, you go add proximity sensor to your Raspberry Pi, and read di distance wey e dey measure.
+
+## Hardware
+
+Di Raspberry Pi go need one proximity sensor.
+
+Di sensor wey you go use na [Grove Time of Flight distance sensor](https://www.seeedstudio.com/Grove-Time-of-Flight-Distance-Sensor-VL53L0X.html). Dis sensor dey use laser ranging module to detect distance. E fit measure distance from 10mm to 2000mm (1cm - 2m), and e go report di values for dat range well well, but if di distance pass 1000mm, e go report am as 8109mm.
+
+Di laser rangefinder dey for di back of di sensor, di opposite side to di Grove socket.
+
+Dis na I<sup>2</sup>C sensor.
+
+### Connect di time of flight sensor
+
+Di Grove time of flight sensor fit connect to di Raspberry Pi.
+
+#### Task - connect di time of flight sensor
+
+Connect di time of flight sensor.
+
+![A grove time of flight sensor](../../../../../translated_images/grove-time-of-flight-sensor.d82ff2165bfded9f485de54d8d07195a6270a602696825fca19f629ddfe94e86.pcm.png)
+
+1. Put one end of di Grove cable inside di socket for di time of flight sensor. E go only fit enter one way.
+
+1. When di Raspberry Pi dey off, connect di other end of di Grove cable to one of di I<sup>2</sup>C sockets wey dem mark **I<sup>2</sup>C** for di Grove Base hat wey dey attach to di Pi. Dis sockets dey for di bottom row, di opposite side to di GPI pins and near di camera cable slot.
+
+![Di grove time of flight sensor wey dem connect to di I squared C socket](../../../../../translated_images/pi-time-of-flight-sensor.58c8dc04eb3bfb57a7c3019f031433ef4d798d4d7603d565afbf6f3802840dba.pcm.png)
+
+## Program di time of flight sensor
+
+Di Raspberry Pi fit now dey program to use di time of flight sensor wey dem attach.
+
+### Task - program di time of flight sensor
+
+Program di device.
+
+1. Power di Pi and wait make e boot.
+
+1. Open di `fruit-quality-detector` code for VS Code, either directly for di Pi, or connect am through di Remote SSH extension.
+
+1. Install di rpi-vl53l0x Pip package, one Python package wey dey work with VL53L0X time-of-flight distance sensor. Install am with dis pip command
+
+    ```sh
+    pip install rpi-vl53l0x
+    ```
+
+1. Create new file for dis project wey you go call `distance-sensor.py`.
+
+    > 💁 One easy way to simulate plenty IoT devices na to do each one for different Python file, then run dem at di same time.
+
+1. Add dis code to di file:
+
+    ```python
+    import time
+    
+    from grove.i2c import Bus
+    from rpi_vl53l0x.vl53l0x import VL53L0X
+    ```
+
+    Dis one dey import di Grove I<sup>2</sup>C bus library, and one sensor library for di core sensor hardware wey dey inside di Grove time of flight sensor.
+
+1. Under dis one, add dis code to access di sensor:
+
+    ```python
+    distance_sensor = VL53L0X(bus = Bus().bus)
+    distance_sensor.begin()    
+    ```
+
+    Dis code dey declare one distance sensor wey dey use di Grove I<sup>2</sup>C bus, then e go start di sensor.
+
+1. Finally, add one infinite loop to dey read distances:
+
+    ```python
+    while True:
+        distance_sensor.wait_ready()
+        print(f'Distance = {distance_sensor.get_distance()} mm')
+        time.sleep(1)
+    ```
+
+    Dis code dey wait make value ready to read from di sensor, then e go print am for di console.
+
+1. Run dis code.
+
+    > 💁 No forget say dis file name na `distance-sensor.py`! Make sure say you dey run am with Python, no be `app.py`.
+
+1. You go see distance measurements for di console. Put objects near di sensor and you go see di distance measurement:
+
+    ```output
+    pi@raspberrypi:~/fruit-quality-detector $ python3 distance_sensor.py 
+    Distance = 29 mm
+    Distance = 28 mm
+    Distance = 30 mm
+    Distance = 151 mm
+    ```
+
+    Di rangefinder dey for di back of di sensor, so make sure say you dey use di correct side when you dey measure distance.
+
+    ![Di rangefinder for di back of di time of flight sensor wey dey point at one banana](../../../../../translated_images/time-of-flight-banana.079921ad8b1496e4525dc26b4cdc71a076407aba3e72ba113ba2e38febae92c5.pcm.png)
+
+> 💁 You fit find dis code for di [code-proximity/pi](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector/code-proximity/pi) folder.
+
+😀 Your proximity sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automated translation fit get mistake or no correct well. Di original docu for im native language na di main correct source. For important information, e go beta make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/virtual-device-proximity.md b/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/virtual-device-proximity.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
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+  "translation_date": "2025-11-18T18:58:18+00:00",
+  "source_file": "4-manufacturing/lessons/4-trigger-fruit-detector/virtual-device-proximity.md",
+  "language_code": "pcm"
+}
+-->
+# Detect proximity - Virtual IoT Hardware
+
+For dis part of di lesson, you go add proximity sensor to your virtual IoT device, and read di distance wey e dey measure.
+
+## Hardware
+
+Di virtual IoT device go use one simulated distance sensor.
+
+For physical IoT device, you go use sensor wey get laser ranging module to detect distance.
+
+### Add di distance sensor to CounterFit
+
+To use virtual distance sensor, you go need add am to di CounterFit app.
+
+#### Task - add di distance sensor to CounterFit
+
+Add di distance sensor to di CounterFit app.
+
+1. Open di `fruit-quality-detector` code for VS Code, and make sure say di virtual environment dey activated.
+
+1. Install one extra Pip package to install CounterFit shim wey fit talk to distance sensors by simulating di [rpi-vl53l0x Pip package](https://pypi.org/project/rpi-vl53l0x/), one Python package wey dey interact with [VL53L0X time-of-flight distance sensor](https://wiki.seeedstudio.com/Grove-Time_of_Flight_Distance_Sensor-VL53L0X/). Make sure say you dey install am from terminal wey get di virtual environment activated.
+
+    ```sh
+    pip install counterfit-shims-rpi-vl53l0x
+    ```
+
+1. Make sure say di CounterFit web app dey run.
+
+1. Create distance sensor:
+
+    1. For di *Create sensor* box for di *Sensors* pane, drop down di *Sensor type* box and select *Distance*.
+
+    1. Leave di *Units* as `Millimeter`.
+
+    1. Dis sensor na I<sup>2</sup>C sensor, so set di address to `0x29`. If you use physical VL53L0X sensor, e go dey hardcoded to dis address.
+
+    1. Select di **Add** button to create di distance sensor.
+
+    ![Di distance sensor settings](../../../../../translated_images/counterfit-create-distance-sensor.967c9fb98f27888d95920c9784d004c972490eb71f70397fe13bd70a79a879a3.pcm.png)
+
+    Di distance sensor go dey created and e go show for di sensors list.
+
+    ![Di distance sensor created](../../../../../translated_images/counterfit-distance-sensor.079eefeeea0b68afc36431ce8fcbe2f09a7e4916ed1cd5cb30e696db53bc18fa.pcm.png)
+
+## Program di distance sensor
+
+Di virtual IoT device fit now dey programmed to use di simulated distance sensor.
+
+### Task - program di time of flight sensor
+
+1. Create new file for di `fruit-quality-detector` project wey you go call `distance-sensor.py`.
+
+    > 💁 One easy way to simulate plenty IoT devices na to do each one for different Python file, then run dem at di same time.
+
+1. Start connection to CounterFit with di code wey dey below:
+
+    ```python
+    from counterfit_connection import CounterFitConnection
+    CounterFitConnection.init('127.0.0.1', 5000)
+    ```
+
+1. Add di code wey dey below dis one:
+
+    ```python
+    import time
+    
+    from counterfit_shims_rpi_vl53l0x.vl53l0x import VL53L0X
+    ```
+
+    Dis one dey import di sensor library shim for di VL53L0X time of flight sensor.
+
+1. Below dis one, add di code wey dey below to access di sensor:
+
+    ```python
+    distance_sensor = VL53L0X()
+    distance_sensor.begin()
+    ```
+
+    Dis code dey declare distance sensor, then e go start di sensor.
+
+1. Finally, add infinite loop to read distances:
+
+    ```python
+    while True:
+        distance_sensor.wait_ready()
+        print(f'Distance = {distance_sensor.get_distance()} mm')
+        time.sleep(1)
+    ```
+
+    Dis code dey wait for value wey dey ready to read from di sensor, then e go print am for di console.
+
+1. Run dis code.
+
+    > 💁 No forget say dis file na `distance-sensor.py`! Make sure say you dey run am via Python, no be `app.py`.
+
+1. You go see distance measurements dey show for di console. Change di value for CounterFit to see di value change, or use random values.
+
+    ```output
+    (.venv) ➜  fruit-quality-detector python distance-sensor.py 
+    Distance = 37 mm
+    Distance = 42 mm
+    Distance = 29 mm
+    ```
+
+> 💁 You fit find dis code for di [code-proximity/virtual-iot-device](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector/code-proximity/virtual-iot-device) folder.
+
+😀 Your proximity sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey 100% correct. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/wio-terminal-proximity.md b/translations/pcm/4-manufacturing/lessons/4-trigger-fruit-detector/wio-terminal-proximity.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "288aebb0c59f7be1d2719b8f9660a313",
+  "translation_date": "2025-11-18T18:59:54+00:00",
+  "source_file": "4-manufacturing/lessons/4-trigger-fruit-detector/wio-terminal-proximity.md",
+  "language_code": "pcm"
+}
+-->
+# Detect proximity - Wio Terminal
+
+For dis part of di lesson, you go add proximity sensor to your Wio Terminal, and read di distance wey e dey measure.
+
+## Hardware
+
+Di Wio Terminal need one proximity sensor.
+
+Di sensor wey you go use na [Grove Time of Flight distance sensor](https://www.seeedstudio.com/Grove-Time-of-Flight-Distance-Sensor-VL53L0X.html). Dis sensor dey use laser ranging module to measure distance. E fit measure distance from 10mm to 2000mm (1cm - 2m), and e dey report di values for dat range well well, but if di distance pass 1000mm, e go report am as 8109mm.
+
+Di laser rangefinder dey for di back of di sensor, di opposite side to di Grove socket.
+
+Dis na I<sup>2</sup>C sensor.
+
+### Connect di time of flight sensor
+
+Di Grove time of flight sensor fit connect to di Wio Terminal.
+
+#### Task - connect di time of flight sensor
+
+Connect di time of flight sensor.
+
+![A grove time of flight sensor](../../../../../translated_images/grove-time-of-flight-sensor.d82ff2165bfded9f485de54d8d07195a6270a602696825fca19f629ddfe94e86.pcm.png)
+
+1. Put one end of di Grove cable inside di socket for di time of flight sensor. E go only fit enter one way.
+
+1. Make sure say di Wio Terminal no dey connect to your computer or any power supply, then connect di other end of di Grove cable to di left-hand side Grove socket for di Wio Terminal as you dey look di screen. Dis socket dey near di power button. E be combined digital and I<sup>2</sup>C socket.
+
+![Di grove time of flight sensor wey dem connect to di left hand socket](../../../../../translated_images/wio-time-of-flight-sensor.c4c182131d2ea73df67febd004dc0313d271013d016be9c47e7da4d77c6c20a8.pcm.png)
+
+1. Now, you fit connect di Wio Terminal to your computer.
+
+## Program di time of flight sensor
+
+Di Wio Terminal don ready to program make e use di time of flight sensor wey you connect.
+
+### Task - program di time of flight sensor
+
+1. Create new Wio Terminal project with PlatformIO. Name di project `distance-sensor`. Add code for di `setup` function to configure di serial port.
+
+1. Add library dependency for di Seeed Grove time of flight distance sensor library to di project `platformio.ini` file:
+
+    ```ini
+    lib_deps =
+        seeed-studio/Grove Ranging sensor - VL53L0X @ ^1.1.1
+    ```
+
+1. For `main.cpp`, add dis code under di existing include directives to declare one instance of di `Seeed_vl53l0x` class wey go interact with di time of flight sensor:
+
+    ```cpp
+    #include "Seeed_vl53l0x.h"
+    
+    Seeed_vl53l0x VL53L0X;
+    ```
+
+1. Add dis code to di bottom of di `setup` function to initialize di sensor:
+
+    ```cpp
+    VL53L0X.VL53L0X_common_init();
+    VL53L0X.VL53L0X_high_accuracy_ranging_init();
+    ```
+
+1. For di `loop` function, read one value from di sensor:
+
+    ```cpp
+    VL53L0X_RangingMeasurementData_t RangingMeasurementData;
+    memset(&RangingMeasurementData, 0, sizeof(VL53L0X_RangingMeasurementData_t));
+
+    VL53L0X.PerformSingleRangingMeasurement(&RangingMeasurementData);
+    ```
+
+    Dis code dey initialize one data structure to read data inside, then e go pass am into di `PerformSingleRangingMeasurement` method wey go populate am with di distance measurement.
+
+1. After dis one, write di distance measurement, then delay for 1 second:
+
+    ```cpp
+    Serial.print("Distance = ");
+    Serial.print(RangingMeasurementData.RangeMilliMeter);
+    Serial.println(" mm");
+
+    delay(1000);
+    ```
+
+1. Build, upload and run dis code. You go fit see di distance measurements for di serial monitor. Put objects near di sensor and you go see di distance measurement:
+
+    ```output
+    Distance = 29 mm
+    Distance = 28 mm
+    Distance = 30 mm
+    Distance = 151 mm
+    ```
+
+    Di rangefinder dey for di back of di sensor, so make sure say you use di correct side when you dey measure distance.
+
+    ![Di rangefinder for di back of di time of flight sensor wey dey point at one banana](../../../../../translated_images/time-of-flight-banana.079921ad8b1496e4525dc26b4cdc71a076407aba3e72ba113ba2e38febae92c5.pcm.png)
+
+> 💁 You fit find dis code for di [code-proximity/wio-terminal](../../../../../4-manufacturing/lessons/4-trigger-fruit-detector/code-proximity/wio-terminal) folder.
+
+😀 Your proximity sensor program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg no forget say automatic translation fit get mistake or no correct well. Di original docu for di language wey dem write am first na di main correct one. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/pcm/5-retail/README.md b/translations/pcm/5-retail/README.md
new file mode 100644
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "22a1d6e49f2a689fe5bfa7802a7241fc",
+  "translation_date": "2025-11-18T19:49:57+00:00",
+  "source_file": "5-retail/README.md",
+  "language_code": "pcm"
+}
+-->
+# Retail - how IoT fit help manage stock levels
+
+Di last stage wey feed dey pass before e reach di people wey go chop am na retail - di markets, greengrocers, supermarkets and stores wey dey sell food give people. Dis stores wan make sure say dem get food for shelves wey people fit see and buy.
+
+One of di work wey dey take plenty time for food stores, especially for big supermarkets, na to make sure say shelves dey full. To dey check each shelf one by one to make sure say any space wey dey empty dey fill up with food wey dey store room.
+
+IoT fit help for dis one, e go use AI models wey dey run for IoT devices to count stock, e go use machine learning models wey no just dey classify images, but fit detect each object and count dem.
+
+For dis 2 lessons, you go learn how to train image-based AI models to count stock, and how to run dis models for IoT devices.
+
+> 💁 Dis lessons go use some cloud resources. If you no finish all di lessons for dis project, make sure say you [clean up your project](../clean-up.md).
+
+## Topics
+
+1. [Train stock detector](./lessons/1-train-stock-detector/README.md)
+1. [Check stock from IoT device](./lessons/2-check-stock-device/README.md)
+
+## Credits
+
+All di lessons na [Jim Bennett](https://GitHub.com/JimBobBennett) write am with ♥️
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make sure say e correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For any important mata, e good make you use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/1-train-stock-detector/README.md b/translations/pcm/5-retail/lessons/1-train-stock-detector/README.md
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@@ -0,0 +1,208 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "8df310a42f902139a01417dacb1ffbef",
+  "translation_date": "2025-11-18T19:54:10+00:00",
+  "source_file": "5-retail/lessons/1-train-stock-detector/README.md",
+  "language_code": "pcm"
+}
+-->
+# Train stock detector
+
+![Sketchnote wey show overview of dis lesson](../../../../../translated_images/lesson-19.cf6973cecadf080c4b526310620dc4d6f5994c80fb0139c6f378cc9ca2d435cd.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image to see bigger version.
+
+Dis video dey show overview of Object Detection wey dey use Azure Custom Vision service, na di service wey we go talk about for dis lesson.
+
+[![Custom Vision 2 - Object Detection Made Easy | The Xamarin Show](https://img.youtube.com/vi/wtTYSyBUpFc/0.jpg)](https://www.youtube.com/watch?v=wtTYSyBUpFc)
+
+> 🎥 Click di image wey dey up to watch di video
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/37)
+
+## Introduction
+
+For di last project, you use AI train image classifier - na model wey fit tell if image get something like ripe fruit or unripe fruit. Another type of AI model wey fit work with images na object detection. Dis models no dey classify image by tags, instead dem dey train to sabi objects, and fit find dem for images, no be only to detect say di image dey there, but to detect where e dey for di image. Dis one go help you count objects for images.
+
+For dis lesson, you go learn about object detection, including how e fit work for retail. You go also learn how to train object detector for di cloud.
+
+For dis lesson we go talk about:
+
+* [Object detection](../../../../../5-retail/lessons/1-train-stock-detector)
+* [Use object detection for retail](../../../../../5-retail/lessons/1-train-stock-detector)
+* [Train object detector](../../../../../5-retail/lessons/1-train-stock-detector)
+* [Test your object detector](../../../../../5-retail/lessons/1-train-stock-detector)
+* [Retrain your object detector](../../../../../5-retail/lessons/1-train-stock-detector)
+
+## Object detection
+
+Object detection na di process wey AI dey use to find objects for images. E different from di image classifier wey you train for di last project, object detection no dey predict di best tag for di whole image, but e dey find one or more objects for di image.
+
+### Object detection vs image classification
+
+Image classification dey about classifying di whole image - wetin be di probabilities say di whole image match each tag. You go get back probabilities for every tag wey dem use train di model.
+
+![Image classification of cashew nuts and tomato paste](../../../../../translated_images/image-classifier-cashews-tomato.bc2e16ab8f05cf9ac0f59f73e32efc4227f9a5b601b90b2c60f436694547a965.pcm.png)
+
+For di example wey dey up, two images dey classified using model wey dem train to classify tubs of cashew nuts or cans of tomato paste. Di first image na tub of cashew nuts, e get two results from di image classifier:
+
+| Tag            | Probability |
+| -------------- | ----------: |
+| `cashew nuts`  | 98.4%       |
+| `tomato paste` | 1.6%        |
+
+Di second image na can of tomato paste, and di results be:
+
+| Tag            | Probability |
+| -------------- | ----------: |
+| `cashew nuts`  | 0.7%        |
+| `tomato paste` | 99.3%       |
+
+You fit use dis value with threshold percentage to predict wetin dey di image. But wetin go happen if di image get plenty cans of tomato paste, or both cashew nuts and tomato paste? Di results no go give you wetin you want. Na here object detection go help.
+
+Object detection dey train model to sabi objects. Instead of giving am images wey get di object and telling am say each image na one tag or di other, you go highlight di part of di image wey get di specific object, and tag am. You fit tag one object for image or plenty. Dis way di model go learn wetin di object itself look like, no be just wetin images wey get di object look like.
+
+When you use am predict images, instead of getting back list of tags and percentages, you go get back list of detected objects, with di bounding box and di probability say di object match di assigned tag.
+
+> 🎓 *Bounding boxes* na di boxes wey dey around di object.
+
+![Object detection of cashew nuts and tomato paste](../../../../../translated_images/object-detector-cashews-tomato.1af7c26686b4db0e709754aeb196f4e73271f54e2085db3bcccb70d4a0d84d97.pcm.png)
+
+Di image wey dey up get both tub of cashew nuts and three cans of tomato paste. Di object detector detect di cashew nuts, e return di bounding box wey dey contain di cashew nuts with di percentage chance say di bounding box get di object, for dis case na 97.6%. Di object detector also detect three cans of tomato paste, e provide three separate bounding boxes, one for each detected can, and each one get percentage probability say di bounding box get can of tomato paste.
+
+✅ Think about some different ways wey you fit use image-based AI models. Which ones go need classification, and which ones go need object detection?
+
+### How object detection dey work
+
+Object detection dey use complex ML models. Dis models dey work by dividing di image into plenty cells, then e go check if di center of di bounding box na di center of image wey match one of di images wey dem use train di model. You fit think am like say you dey run image classifier over different parts of di image to look for matches.
+
+> 💁 Dis na oversimplification. Plenty techniques dey for object detection, and you fit read more about dem for di [Object detection page for Wikipedia](https://wikipedia.org/wiki/Object_detection).
+
+Plenty different models dey wey fit do object detection. One popular model na [YOLO (You only look once)](https://pjreddie.com/darknet/yolo/), e dey very fast and fit detect 20 different class of objects, like people, dogs, bottles and cars.
+
+✅ Read about di YOLO model for [pjreddie.com/darknet/yolo/](https://pjreddie.com/darknet/yolo/)
+
+Object detection models fit retrain using transfer learning to detect custom objects.
+
+## Use object detection for retail
+
+Object detection get plenty use for retail. Some include:
+
+* **Stock checking and counting** - e dey recognize when stock dey low for shelves. If stock dey too low, notifications fit go staff or robots to restock shelves.
+* **Mask detection** - for stores wey get mask policy during public health events, object detection fit recognize people wey wear mask and those wey no wear.
+* **Automated billing** - e dey detect items wey people pick from shelves for automated stores and dey bill customers well.
+* **Hazard detection** - e dey recognize broken items for floor, or spilled liquids, e dey alert cleaning crew.
+
+✅ Do small research: Wetin be some other ways wey object detection fit work for retail?
+
+## Train object detector
+
+You fit train object detector using Custom Vision, same way you train image classifier.
+
+### Task - create object detector
+
+1. Create Resource Group for dis project wey you go call `stock-detector`
+
+1. Create free Custom Vision training resource, and free Custom Vision prediction resource for di `stock-detector` resource group. Name dem `stock-detector-training` and `stock-detector-prediction`.
+
+    > 💁 You fit only get one free training and prediction resource, so make sure say you don clean up your project from di earlier lessons.
+
+    > ⚠️ You fit check [di instructions for creating training and prediction resources from project 4, lesson 1 if you need am](../../../4-manufacturing/lessons/1-train-fruit-detector/README.md#task---create-a-cognitive-services-resource).
+
+1. Open di Custom Vision portal for [CustomVision.ai](https://customvision.ai), and sign in with di Microsoft account wey you use for your Azure account.
+
+1. Follow di [Create new Project section for di Build object detector quickstart for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/get-started-build-detector?WT.mc_id=academic-17441-jabenn#create-a-new-project) to create new Custom Vision project. Di UI fit change and dis docs na di most up-to-date reference.
+
+    Call your project `stock-detector`.
+
+    When you dey create your project, make sure say you dey use di `stock-detector-training` resource wey you create before. Use di *Object Detection* project type, and di *Products on Shelves* domain.
+
+    ![Di settings for di custom vision project wey di name na fruit-quality-detector, no description, di resource na fruit-quality-detector-training, di project type na classification, di classification types na multi class and di domains na food](../../../../../translated_images/custom-vision-create-object-detector-project.32d4fb9aa8e7e7375f8a799bfce517aca970f2cb65e42d4245c5e635c734ab29.pcm.png)
+
+    ✅ Di products on shelves domain dey specially designed to detect stock for store shelves. Read more about di different domains for [Select domain documentation for Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/select-domain?WT.mc_id=academic-17441-jabenn#object-detection)
+
+✅ Take small time to explore di Custom Vision UI for your object detector.
+
+### Task - train your object detector
+
+To train your model you go need set of images wey get di objects wey you wan detect.
+
+1. Gather images wey get di object wey you wan detect. You go need at least 15 images wey get each object to detect from different angles and different lighting conditions, but di more di better. Dis object detector dey use di *Products on shelves* domain, so try arrange di objects like say dem dey for store shelf. You go also need small images to test di model. If you dey detect more than one object, you go want some testing images wey get all di objects.
+
+    > 💁 Images wey get plenty different objects dey count for di 15 image minimum for all di objects wey dey di image.
+
+    Your images suppose be png or jpegs, small pass 6MB. If you create dem with iPhone for example, dem fit be high-resolution HEIC images, so you go need convert and maybe shrink dem. Di more images di better, and you suppose get similar number of ripe and unripe.
+
+    Di model dey designed for products on shelves, so try take di photos of di objects for shelves.
+
+    You fit find some example images wey you fit use for di [images](../../../../../5-retail/lessons/1-train-stock-detector/images) folder of cashew nuts and tomato paste wey you fit use.
+
+1. Follow di [Upload and tag images section for di Build object detector quickstart for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/get-started-build-detector?WT.mc_id=academic-17441-jabenn#upload-and-tag-images) to upload your training images. Create relevant tags based on di types of objects wey you wan detect.
+
+    ![Di upload dialogs wey dey show upload of ripe and unripe banana pictures](../../../../../translated_images/image-upload-object-detector.77c7892c3093cb59b79018edecd678749a75d71a099bc8a2d2f2f76320f88a5b.pcm.png)
+
+    When you dey draw bounding boxes for objects, make dem tight around di object. E fit take time to outline all di images, but di tool go detect wetin e think say be di bounding boxes, e go make am faster.
+
+    ![Tagging some tomato paste](../../../../../translated_images/object-detector-tag-tomato-paste.f47c362fb0f0eb582f3bc68cf3855fb43a805106395358d41896a269c210b7b4.pcm.png)
+
+    > 💁 If you get more than 15 images for each object, you fit train after 15 then use di **Suggested tags** feature. Dis one go use di trained model to detect di objects for di untagged image. You fit confirm di detected objects, or reject and redraw di bounding boxes. Dis one fit save plenty time.
+
+1. Follow di [Train di detector section for di Build object detector quickstart for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/get-started-build-detector?WT.mc_id=academic-17441-jabenn#train-the-detector) to train di object detector on your tagged images.
+
+    You go get choice of training type. Select **Quick Training**.
+
+Di object detector go train. E go take few minutes for di training to complete.
+
+## Test your object detector
+
+Once your object detector don train, you fit test am by giving am new images to detect objects.
+
+### Task - test your object detector
+
+1. Use di **Quick Test** button to upload testing images and confirm say di objects dey detected. Use di testing images wey you create before, no use any of di images wey you use for training.
+
+    ![3 cans of tomato paste detected with probabilities of 38%, 35.5% and 34.6%](../../../../../translated_images/object-detector-detected-tomato-paste.52656fe87af4c37b4ee540526d63e73ed075da2e54a9a060aa528e0c562fb1b6.pcm.png)
+
+1. Try all di testing images wey you get and observe di probabilities.
+
+## Retrain your object detector
+
+When you test your object detector, e fit no give di results wey you dey expect, same as image classifiers for di last project. You fit improve your object detector by retraining am with images wey e no get correct.
+
+Every time you make prediction using di quick test option, di image and results go dey stored. You fit use dis images retrain your model.
+
+1. Use di **Predictions** tab to find di images wey you use for testing
+
+1. Confirm any correct detections, delete di wrong ones and add any missing objects.
+
+1. Retrain and retest di model.
+
+---
+
+## 🚀 Challenge
+Wetn go happen if you use di object detector for items wey resemble each oda, like di same brand cans of tomato paste and chopped tomatoes?
+
+If you get any items wey resemble each oda, try am by adding dia pictures to your object detector.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/38)
+
+## Review & Self Study
+
+* Wen you dey train your object detector, you go see values for *Precision*, *Recall*, and *mAP* wey dey rate di model wey dem create. Make you read about wetin dis values mean for [di Evaluate the detector section of di Build an object detector quickstart for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/get-started-build-detector?WT.mc_id=academic-17441-jabenn#evaluate-the-detector)
+* Learn more about object detection for [di Object detection page for Wikipedia](https://wikipedia.org/wiki/Object_detection)
+
+## Assignment
+
+[Compare domains](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/1-train-stock-detector/assignment.md b/translations/pcm/5-retail/lessons/1-train-stock-detector/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "d93ee76fac4c2199973689ecd05baaf9",
+  "translation_date": "2025-11-18T19:55:06+00:00",
+  "source_file": "5-retail/lessons/1-train-stock-detector/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Compare domains
+
+## Instructions
+
+Wen you dey create your object detector, you get choice to choose from different domains. Compare how dem dey work for your stock detector, and talk about which one dey give better result.
+
+To change the domain, click the **Settings** button for the top menu, choose new domain, click the **Save changes** button, then retrain the model. Make sure say you test am with the new version of the model wey you train with the new domain.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Train the model with a different domain | Fit change the domain and re-train the model | Fit change the domain and re-train the model | No fit change the domain or re-train the model |
+| Test the model and compare the results | Fit test the model with different domains, compare results, and talk about which one better pass | Fit test the model with different domains, but no fit compare the results or talk about which one better pass | No fit test the model with different domains |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg make you sabi say machine transle-shon fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/2-check-stock-device/README.md b/translations/pcm/5-retail/lessons/2-check-stock-device/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "1c9e5fa8b7be726c75a97232b1e41c97",
+  "translation_date": "2025-11-18T19:52:14+00:00",
+  "source_file": "5-retail/lessons/2-check-stock-device/README.md",
+  "language_code": "pcm"
+}
+-->
+# Check stock from an IoT device
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-20.0211df9551a8abb300fc8fcf7dc2789468dea2eabe9202273ac077b0ba37f15e.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/39)
+
+## Introduction
+
+For di last lesson, you don learn how object detection fit dey useful for retail. You also learn how to train object detector wey go sabi identify stock. For dis lesson, you go learn how to use di object detector wey you train from your IoT device to count stock.
+
+For dis lesson, we go talk about:
+
+* [Stock counting](../../../../../5-retail/lessons/2-check-stock-device)
+* [Call your object detector from your IoT device](../../../../../5-retail/lessons/2-check-stock-device)
+* [Bounding boxes](../../../../../5-retail/lessons/2-check-stock-device)
+* [Retrain the model](../../../../../5-retail/lessons/2-check-stock-device)
+* [Count stock](../../../../../5-retail/lessons/2-check-stock-device)
+
+> 🗑 Dis na di last lesson for dis project, so after you don finish di lesson and di assignment, no forget to clean up your cloud services. You go need di services to complete di assignment, so make sure say you finish am first.
+>
+> Check [di clean up your project guide](../../../clean-up.md) if you need instructions on how to do am.
+
+## Stock counting
+
+Object detectors fit dey useful for stock checking, whether na to count stock or to make sure say stock dey where e suppose dey. IoT devices wey get cameras fit dey put for different places for di store to monitor stock, especially for areas wey dey important to restock items, like places wey dey carry small numbers of high-value items.
+
+For example, if camera dey look one shelf wey fit carry 8 cans of tomato paste, and di object detector only detect 7 cans, e mean say one don miss and dem need to restock am.
+
+![7 cans of tomato paste on a shelf, 4 on the top row, 3 on top](../../../../../translated_images/stock-7-cans-tomato-paste.f86059cc573d7becaa89a0eafb9d2cd7e2fe37405a530fe565990e2333d0e4a1.pcm.png)
+
+For di image wey dey up, di object detector don detect 7 cans of tomato paste for shelf wey fit carry 8 cans. Di IoT device fit send notification say dem need to restock, and e fit even show di location of di missing item, wey go be important data if you dey use robots to restock shelves.
+
+> 💁 Depending on di store and how popular di item be, dem fit no restock if na only 1 can dey miss. You go need to build algorithm wey go decide when to restock based on your product, customers, and other criteria.
+
+✅ Which other ways you fit combine object detection and robots?
+
+Sometimes, wrong stock fit dey for di shelves. E fit be human error when dem dey restock, or customers fit change their mind about wetin dem wan buy and put di item for di first available space. If na non-perishable item like canned goods, e go just dey annoying. But if na perishable item like frozen or chilled goods, e fit mean say di product no fit sell again because e go hard to know how long di item don dey outside freezer.
+
+Object detection fit help detect items wey no suppose dey there, and e go alert human or robot to return di item as dem detect am.
+
+![A rogue can of baby corn on the tomato paste shelf](../../../../../translated_images/stock-rogue-corn.be1f3ada8c4578544641af66671c1711a4c02297f14cc7f503354dae0d30a954.pcm.png)
+
+For di image wey dey up, one can of baby corn don dey put for di shelf wey tomato paste suppose dey. Di object detector don detect am, so di IoT device fit notify human or robot to return di can go di correct place.
+
+## Call your object detector from your IoT device
+
+Di object detector wey you train for di last lesson fit dey call from your IoT device.
+
+### Task - publish an iteration of your object detector
+
+Iterations dey publish from di Custom Vision portal.
+
+1. Open di Custom Vision portal for [CustomVision.ai](https://customvision.ai) and sign in if you never open am before. Then open your `stock-detector` project.
+
+1. Select di **Performance** tab from di options wey dey top.
+
+1. Select di latest iteration from di *Iterations* list wey dey side.
+
+1. Select di **Publish** button for di iteration.
+
+    ![The publish button](../../../../../translated_images/custom-vision-object-detector-publish-button.34ee379fc650ccb9856c3868d0003f413b9529f102fc73c37168c98d721cc293.pcm.png)
+
+1. For di *Publish Model* dialog, set di *Prediction resource* to di `stock-detector-prediction` resource wey you create for di last lesson. Leave di name as `Iteration2`, and select di **Publish** button.
+
+1. Once you don publish am, select di **Prediction URL** button. Dis one go show di details of di prediction API, and you go need am to call di model from your IoT device. Di lower section dey label *If you have an image file*, and na di details you go need. Copy di URL wey dem show wey go look like:
+
+    ```output
+    https://<location>.api.cognitive.microsoft.com/customvision/v3.0/Prediction/<id>/detect/iterations/Iteration2/image
+    ```
+
+    Where `<location>` go be di location wey you use when you dey create your custom vision resource, and `<id>` go be long ID wey get letters and numbers.
+
+    Also copy di *Prediction-Key* value. Dis na secure key wey you go pass when you dey call di model. Only apps wey pass dis key fit use di model, any other apps go dey reject.
+
+    ![The prediction API dialog showing the URL and key](../../../../../translated_images/custom-vision-prediction-key-endpoint.30c569ffd0338864f319911f052d5e9b8c5066cb0800a26dd6f7ff5713130ad8.pcm.png)
+
+✅ When new iteration don publish, e go get different name. How you think say you go fit change di iteration wey IoT device dey use?
+
+### Task - call your object detector from your IoT device
+
+Follow di guide wey dey relevant below to use di object detector from your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-object-detector.md)
+* [Single-board computer - Raspberry Pi/Virtual device](single-board-computer-object-detector.md)
+
+## Bounding boxes
+
+When you dey use di object detector, e no go only give you di detected objects with their tags and probabilities, e go also give you di bounding boxes of di objects. Dis bounding boxes dey show where di object detector detect di object with di given probability.
+
+> 💁 Bounding box na box wey dey define di area wey contain di object wey dem detect, na box wey dey show di boundary for di object.
+
+Di results of prediction for di **Predictions** tab for Custom Vision dey get di bounding boxes wey dem draw for di image wey dem send for prediction.
+
+![4 cans of tomato paste on a shelf with predictions for the 4 detections of 35.8%, 33.5%, 25.7% and 16.6%](../../../../../translated_images/custom-vision-stock-prediction.942266ab1bcca3410ecdf23643b9f5f570cfab2345235074e24c51f285777613.pcm.png)
+
+For di image wey dey up, dem detect 4 cans of tomato paste. For di results, red square dey show for each object wey dem detect for di image, wey dey show di bounding box for di image.
+
+✅ Open di predictions for Custom Vision and check di bounding boxes.
+
+Bounding boxes dey define with 4 values - top, left, height, and width. Dis values dey use scale of 0-1, wey dey represent di positions as percentage of di size of di image. Di origin (di 0,0 position) na di top left of di image, so di top value na di distance from di top, and di bottom of di bounding box na di top plus di height.
+
+![A bounding box around a can of tomato paste](../../../../../translated_images/bounding-box.1420a7ea0d3d15f71e1ffb5cf4b2271d184fac051f990abc541975168d163684.pcm.png)
+
+Di image wey dey up na 600 pixels wide and 800 pixels tall. Di bounding box dey start for 320 pixels down, wey give top coordinate of 0.4 (800 x 0.4 = 320). From di left, di bounding box dey start for 240 pixels across, wey give left coordinate of 0.4 (600 x 0.4 = 240). Di height of di bounding box na 240 pixels, wey give height value of 0.3 (800 x 0.3 = 240). Di width of di bounding box na 120 pixels, wey give width value of 0.2 (600 x 0.2 = 120).
+
+| Coordinate | Value |
+| ---------- | ----: |
+| Top        | 0.4   |
+| Left       | 0.4   |
+| Height     | 0.3   |
+| Width      | 0.2   |
+
+Using percentage values from 0-1 mean say no matter di size wey dem scale di image to, di bounding box go start 0.4 of di way along and down, and e go be 0.3 of di height and 0.2 of di width.
+
+You fit use bounding boxes join with probabilities to check how accurate di detection be. For example, object detector fit detect multiple objects wey dey overlap, like detecting one can inside another. Your code fit check di bounding boxes, understand say e no possible, and ignore any objects wey dey overlap well well with other objects.
+
+![Two bonding boxes overlapping a can of tomato paste](../../../../../translated_images/overlap-object-detection.d431e03cae75072a2760430eca7f2c5fdd43045bfd72dadcbf12711f7cd6c2ae.pcm.png)
+
+For di example wey dey up, one bounding box dey show predicted can of tomato paste at 78.3%. Another bounding box dey small, and e dey inside di first bounding box with probability of 64.3%. Your code fit check di bounding boxes, see say dem dey overlap completely, and ignore di lower probability because e no possible say one can go dey inside another.
+
+✅ You fit think of situation wey e go valid to detect one object inside another?
+
+## Retrain the model
+
+Like di image classifier, you fit retrain your model using data wey your IoT device capture. Using dis real-world data go make sure say your model dey work well when you dey use am from your IoT device.
+
+Unlike di image classifier, you no fit just tag image. You go need to check every bounding box wey di model detect. If di box dey around wrong thing, you go need delete am. If e dey wrong location, you go need adjust am.
+
+### Task - retrain the model
+
+1. Make sure say you don capture plenty images using your IoT device.
+
+1. From di **Predictions** tab, select one image. You go see red boxes wey dey show di bounding boxes of di detected objects.
+
+1. Work through each bounding box. Select am first and you go see pop-up wey dey show di tag. Use di handles for di corners of di bounding box to adjust di size if e dey necessary. If di tag dey wrong, remove am with di **X** button and add di correct tag. If di bounding box no contain object, delete am with di trashcan button.
+
+1. Close di editor when you don finish and di image go move from di **Predictions** tab go di **Training Images** tab. Repeat di process for all di predictions.
+
+1. Use di **Train** button to re-train your model. Once e don train, publish di iteration and update your IoT device to use di URL of di new iteration.
+
+1. Re-deploy your code and test your IoT device.
+
+## Count stock
+
+Using di number of objects wey dem detect and di bounding boxes, you fit count di stock wey dey shelf.
+
+### Task - count stock
+
+Follow di guide wey dey relevant below to count stock using di results from di object detector from your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-count-stock.md)
+* [Single-board computer - Raspberry Pi/Virtual device](single-board-computer-count-stock.md)
+
+---
+
+## 🚀 Challenge
+
+You fit detect wrong stock? Train your model on plenty objects, then update your app to alert you if wrong stock dey detected.
+
+You fit even carry am go further and detect stock wey dey side by side for di same shelf, and see if something don dey put for wrong place by setting limits for di bounding boxes.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/40)
+
+## Review & Self Study
+
+* Learn more about how to design end-to-end stock detection system from di [Out of stock detection at the edge pattern guide on Microsoft Docs](https://docs.microsoft.com/hybrid/app-solutions/pattern-out-of-stock-at-edge?WT.mc_id=academic-17441-jabenn)
+* Learn other ways to build end-to-end retail solutions wey dey combine different IoT and cloud services by watching dis [Behind the scenes of a retail solution - Hands On! video on YouTube](https://www.youtube.com/watch?v=m3Pc300x2Mw).
+
+## Assignment
+
+[Use your object detector on the edge](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take responsibility for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/2-check-stock-device/assignment.md b/translations/pcm/5-retail/lessons/2-check-stock-device/assignment.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "3cf7783991ec0ee4f6041223924894c7",
+  "translation_date": "2025-11-18T19:54:02+00:00",
+  "source_file": "5-retail/lessons/2-check-stock-device/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Use your object detector for edge
+
+## Instructions
+
+For di last project, you don deploy your image classifier for edge. Do di same tin wit your object detector, export am as small model wey fit run for edge, and make sure say you fit access di edge version from your IoT device.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Deploy your object detector to the edge | You fit use di correct compact domain, export di object detector and run am for edge | You fit use di correct compact domain, export di object detector, but you no fit run am for edge | You no fit use di correct compact domain, export di object detector, and run am for edge  |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translet. Even as we dey try make am correct, abeg make you sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di main source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/2-check-stock-device/single-board-computer-count-stock.md b/translations/pcm/5-retail/lessons/2-check-stock-device/single-board-computer-count-stock.md
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@@ -0,0 +1,179 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9c4320311c0f2c1884a6a21265d98a51",
+  "translation_date": "2025-11-18T19:51:04+00:00",
+  "source_file": "5-retail/lessons/2-check-stock-device/single-board-computer-count-stock.md",
+  "language_code": "pcm"
+}
+-->
+# Count stock from your IoT device - Virtual IoT Hardware and Raspberry Pi
+
+Combination of di predictions and dia bounding boxes fit dey used to count stock wey dey inside one image.
+
+## Show bounding boxes
+
+As one helpful debugging step, you fit no just print di bounding boxes, but you fit also draw dem for di image wey dem save for disk when dem capture di image.
+
+### Task - print di bounding boxes
+
+1. Make sure say di `stock-counter` project dey open for VS Code, and di virtual environment dey activated if you dey use virtual IoT device.
+
+1. Change di `print` statement for di `for` loop to di one wey dey below to print di bounding boxes for di console:
+
+    ```python
+    print(f'{prediction.tag_name}:\t{prediction.probability * 100:.2f}%\t{prediction.bounding_box}')
+    ```
+
+1. Run di app make di camera face some stock wey dey shelf. Di bounding boxes go show for di console, with left, top, width and height values from 0-1.
+
+    ```output
+    pi@raspberrypi:~/stock-counter $ python3 app.py 
+    tomato paste:   33.42%  {'additional_properties': {}, 'left': 0.3455171, 'top': 0.09916268, 'width': 0.14175442, 'height': 0.29405564}
+    tomato paste:   34.41%  {'additional_properties': {}, 'left': 0.48283678, 'top': 0.10242918, 'width': 0.11782813, 'height': 0.27467814}
+    tomato paste:   31.25%  {'additional_properties': {}, 'left': 0.4923783, 'top': 0.35007596, 'width': 0.13668466, 'height': 0.28304994}
+    tomato paste:   31.05%  {'additional_properties': {}, 'left': 0.36416405, 'top': 0.37494493, 'width': 0.14024884, 'height': 0.26880276}
+    ```
+
+### Task - draw bounding boxes for di image
+
+1. Di Pip package [Pillow](https://pypi.org/project/Pillow/) fit dey used to draw for images. Install am with dis command:
+
+    ```sh
+    pip3 install pillow
+    ```
+
+    If you dey use virtual IoT device, make sure say you run am from inside di activated virtual environment.
+
+1. Add dis import statement go di top of di `app.py` file:
+
+    ```python
+    from PIL import Image, ImageDraw, ImageColor
+    ```
+
+    Dis one go import di code wey you need to edit di image.
+
+1. Add dis code go di end of di `app.py` file:
+
+    ```python
+    with Image.open('image.jpg') as im:
+        draw = ImageDraw.Draw(im)
+    
+        for prediction in predictions:
+            scale_left = prediction.bounding_box.left
+            scale_top = prediction.bounding_box.top
+            scale_right = prediction.bounding_box.left + prediction.bounding_box.width
+            scale_bottom = prediction.bounding_box.top + prediction.bounding_box.height
+            
+            left = scale_left * im.width
+            top = scale_top * im.height
+            right = scale_right * im.width
+            bottom = scale_bottom * im.height
+    
+            draw.rectangle([left, top, right, bottom], outline=ImageColor.getrgb('red'), width=2)
+    
+        im.save('image.jpg')
+    ```
+
+    Dis code go open di image wey dem save before for editing. E go then loop through di predictions dey get di bounding boxes, and calculate di bottom right coordinate using di bounding box values from 0-1. Dem go then convert am to image coordinates by multiplying am by di relevant dimension of di image. For example, if di left value na 0.5 for one image wey be 600 pixels wide, e go convert am to 300 (0.5 x 600 = 300).
+
+    Each bounding box go dey drawn for di image using one red line. Finally, di edited image go dey saved, overwriting di original image.
+
+1. Run di app make di camera face some stock wey dey shelf. You go see di `image.jpg` file for di VS Code explorer, and you fit select am to see di bounding boxes.
+
+    ![4 cans of tomato paste with bounding boxes around each can](../../../../../translated_images/rpi-stock-with-bounding-boxes.b5540e2ecb7cd49f1271828d3be412671d950e87625c5597ea97c90f11e01097.pcm.jpg)
+
+## Count stock
+
+For di image wey dey above, di bounding boxes get small overlap. If di overlap big well well, di bounding boxes fit dey show di same object. To count di objects well, you need to ignore boxes wey get big overlap.
+
+### Task - count stock ignore overlap
+
+1. Di Pip package [Shapely](https://pypi.org/project/Shapely/) fit dey used to calculate di intersection. If you dey use Raspberry Pi, you go need install one library dependency first:
+
+    ```sh
+    sudo apt install libgeos-dev
+    ```
+
+1. Install di Shapely Pip package:
+
+    ```sh
+    pip3 install shapely
+    ```
+
+    If you dey use virtual IoT device, make sure say you run am from inside di activated virtual environment.
+
+1. Add dis import statement go di top of di `app.py` file:
+
+    ```python
+    from shapely.geometry import Polygon
+    ```
+
+    Dis one go import di code wey you need to create polygons to calculate overlap.
+
+1. For di code wey dey draw di bounding boxes, add dis code:
+
+    ```python
+    overlap_threshold = 0.20
+    ```
+
+    Dis one go define di percentage overlap wey dem go allow before dem go consider di bounding boxes as di same object. 0.20 mean 20% overlap.
+
+1. To calculate overlap using Shapely, di bounding boxes need to dey converted into Shapely polygons. Add dis function to do am:
+
+    ```python
+    def create_polygon(prediction):
+        scale_left = prediction.bounding_box.left
+        scale_top = prediction.bounding_box.top
+        scale_right = prediction.bounding_box.left + prediction.bounding_box.width
+        scale_bottom = prediction.bounding_box.top + prediction.bounding_box.height
+    
+        return Polygon([(scale_left, scale_top), (scale_right, scale_top), (scale_right, scale_bottom), (scale_left, scale_bottom)])
+    ```
+
+    Dis one go create one polygon using di bounding box of one prediction.
+
+1. Di logic to remove overlapping objects involve comparing all di bounding boxes, and if any pairs of predictions get bounding boxes wey overlap pass di threshold, dem go delete one of di predictions. To compare all di predictions, you go compare prediction 1 with 2, 3, 4, etc., then 2 with 3, 4, etc. Di code wey dey below dey do dis:
+
+    ```python
+    to_delete = []
+
+    for i in range(0, len(predictions)):
+        polygon_1 = create_polygon(predictions[i])
+    
+        for j in range(i+1, len(predictions)):
+            polygon_2 = create_polygon(predictions[j])
+            overlap = polygon_1.intersection(polygon_2).area
+
+            smallest_area = min(polygon_1.area, polygon_2.area)
+    
+            if overlap > (overlap_threshold * smallest_area):
+                to_delete.append(predictions[i])
+                break
+    
+    for d in to_delete:
+        predictions.remove(d)
+
+    print(f'Counted {len(predictions)} stock items')
+    ```
+
+    Di overlap dey calculated using di Shapely `Polygon.intersection` method wey dey return one polygon wey get di overlap. Di area go then dey calculated from dis polygon. Dis overlap threshold no be absolute value, but e need to be percentage of di bounding box, so dem go find di smallest bounding box, and di overlap threshold go dey used to calculate wetin di area of di overlap fit be to no pass di percentage overlap threshold of di smallest bounding box. If di overlap pass dis one, dem go mark di prediction for deletion.
+
+    Once dem don mark one prediction for deletion, e no need to dey checked again, so di inner loop go break out to check di next prediction. You no fit delete items from one list while you dey iterate through am, so di bounding boxes wey overlap pass di threshold go dey added to di `to_delete` list, then dem go delete dem for di end.
+
+    Finally, di stock count go dey printed for di console. Dis one fit then dey sent to one IoT service to alert if di stock levels dey low. All dis code dey before di bounding boxes dey drawn, so you go see di stock predictions without overlaps for di generated images.
+
+    > 💁 Dis na very simple way to remove overlaps, e just dey remove di first one for di overlapping pair. For production code, you go want add more logic for here, like considering di overlaps between multiple objects, or if one bounding box dey inside another.
+
+1. Run di app make di camera face some stock wey dey shelf. Di output go show di number of bounding boxes wey no overlap pass di threshold. Try adjust di `overlap_threshold` value to see predictions wey dem go ignore.
+
+> 💁 You fit find dis code for di [code-count/pi](../../../../../5-retail/lessons/2-check-stock-device/code-count/pi) or [code-count/virtual-iot-device](../../../../../5-retail/lessons/2-check-stock-device/code-count/virtual-iot-device) folder.
+
+😀 Your stock counter program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/2-check-stock-device/single-board-computer-object-detector.md b/translations/pcm/5-retail/lessons/2-check-stock-device/single-board-computer-object-detector.md
new file mode 100644
index 000000000..6a66ace38
--- /dev/null
+++ b/translations/pcm/5-retail/lessons/2-check-stock-device/single-board-computer-object-detector.md
@@ -0,0 +1,90 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "a3fdfec1d1e2cb645ea11c2930b51299",
+  "translation_date": "2025-11-18T19:53:42+00:00",
+  "source_file": "5-retail/lessons/2-check-stock-device/single-board-computer-object-detector.md",
+  "language_code": "pcm"
+}
+-->
+# Call your object detector from your IoT device - Virtual IoT Hardware and Raspberry Pi
+
+Wen you don publish your object detector, you fit use am from your IoT device.
+
+## Copy di image classifier project
+
+Most of di stock detector na di same as di image classifier wey you don create for one previous lesson.
+
+### Task - copy di image classifier project
+
+1. Create one folder wey you go call `stock-counter` for your computer if you dey use virtual IoT device, or for your Raspberry Pi. If you dey use virtual IoT device, make sure say you set up virtual environment.
+
+1. Set up di camera hardware.
+
+    * If you dey use Raspberry Pi, you go need to fix di PiCamera. You fit also wan fix di camera for one position, like hang di cable for one box or can, or fix di camera for one box with double-sided tape.
+    * If you dey use virtual IoT device, you go need to install CounterFit and di CounterFit PyCamera shim. If you wan use still images, capture some images wey your object detector never see before. If you wan use your web cam, make sure say e dey positioned well to see di stock wey you dey detect.
+
+1. Follow di steps from [lesson 2 of di manufacturing project](../../../4-manufacturing/lessons/2-check-fruit-from-device/README.md#task---capture-an-image-using-an-iot-device) to capture images from di camera.
+
+1. Follow di steps from [lesson 2 of di manufacturing project](../../../4-manufacturing/lessons/2-check-fruit-from-device/README.md#task---classify-images-from-your-iot-device) to call di image classifier. Most of di code go dey reused to detect objects.
+
+## Change di code from classifier to image detector
+
+Di code wey you use to classify images dey almost di same as di code to detect objects. Di main difference na di method wey you go call for di Custom Vision SDK, and di results wey e go return.
+
+### Task - change di code from classifier to image detector
+
+1. Delete di three lines of code wey dey classify di image and process di predictions:
+
+    ```python
+    results = predictor.classify_image(project_id, iteration_name, image)
+    
+    for prediction in results.predictions:
+        print(f'{prediction.tag_name}:\t{prediction.probability * 100:.2f}%')
+    ```
+
+    Remove dis three lines.
+
+1. Add di code wey dey below to detect objects for di image:
+
+    ```python
+    results = predictor.detect_image(project_id, iteration_name, image)
+
+    threshold = 0.3
+    
+    predictions = list(prediction for prediction in results.predictions if prediction.probability > threshold)
+    
+    for prediction in predictions:
+        print(f'{prediction.tag_name}:\t{prediction.probability * 100:.2f}%')
+    ```
+
+    Dis code dey call di `detect_image` method for di predictor to run di object detector. E go gather all di predictions wey get probability wey pass one threshold, then e go print dem for di console.
+
+    Unlike image classifier wey dey return only one result per tag, di object detector go return plenty results, so any one wey get low probability go need to dey filtered out.
+
+1. Run dis code and e go capture one image, send am to di object detector, and print out di detected objects. If you dey use virtual IoT device, make sure say you get correct image set for CounterFit, or your web cam dey selected. If you dey use Raspberry Pi, make sure say your camera dey point to objects for one shelf.
+
+    ```output
+    pi@raspberrypi:~/stock-counter $ python3 app.py 
+    tomato paste:   34.13%
+    tomato paste:   33.95%
+    tomato paste:   35.05%
+    tomato paste:   32.80%
+    ```
+
+    > 💁 You fit need to adjust di `threshold` to correct value for your images.
+
+    You go fit see di image wey dem take, and di values for di **Predictions** tab for Custom Vision.
+
+    ![4 cans of tomato paste on a shelf with predictions for the 4 detections of 35.8%, 33.5%, 25.7% and 16.6%](../../../../../translated_images/custom-vision-stock-prediction.942266ab1bcca3410ecdf23643b9f5f570cfab2345235074e24c51f285777613.pcm.png)
+
+> 💁 You fit find dis code for di [code-detect/pi](../../../../../5-retail/lessons/2-check-stock-device/code-detect/pi) or [code-detect/virtual-iot-device](../../../../../5-retail/lessons/2-check-stock-device/code-detect/virtual-iot-device) folder.
+
+😀 Your stock counter program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e better make professional human transleto do di work. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/2-check-stock-device/wio-terminal-count-stock.md b/translations/pcm/5-retail/lessons/2-check-stock-device/wio-terminal-count-stock.md
new file mode 100644
index 000000000..250c4469c
--- /dev/null
+++ b/translations/pcm/5-retail/lessons/2-check-stock-device/wio-terminal-count-stock.md
@@ -0,0 +1,183 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "0b2ae20b0fc8e73c9598dea937cac038",
+  "translation_date": "2025-11-18T19:50:23+00:00",
+  "source_file": "5-retail/lessons/2-check-stock-device/wio-terminal-count-stock.md",
+  "language_code": "pcm"
+}
+-->
+# Count stock from your IoT device - Wio Terminal
+
+Combination of di predictions and dia bounding boxes fit help count stock wey dey inside one image.
+
+## Count stock
+
+![4 cans of tomato paste with bounding boxes around each can](../../../../../translated_images/rpi-stock-with-bounding-boxes.b5540e2ecb7cd49f1271828d3be412671d950e87625c5597ea97c90f11e01097.pcm.jpg)
+
+For di image wey dey up, di bounding boxes get small overlap. If di overlap big well well, di bounding boxes fit mean say na di same object. To count di objects correct, you go need ignore boxes wey get big overlap.
+
+### Task - count stock ignoring overlap
+
+1. Open your `stock-counter` project if e never open.
+
+1. For di top of di `processPredictions` function, add dis code:
+
+    ```cpp
+    const float overlap_threshold = 0.20f;
+    ```
+
+    Dis one dey define di percentage overlap wey go dey allowed before di bounding boxes go mean say na di same object. 0.20 mean say na 20% overlap.
+
+1. After dis one, and for di top of di `processPredictions` function, add dis code to calculate di overlap between two rectangles:
+
+    ```cpp
+    struct Point {
+        float x, y;
+    };
+
+    struct Rect {
+        Point topLeft, bottomRight;
+    };
+
+    float area(Rect rect)
+    {
+        return abs(rect.bottomRight.x - rect.topLeft.x) * abs(rect.bottomRight.y - rect.topLeft.y);
+    }
+     
+    float overlappingArea(Rect rect1, Rect rect2)
+    {
+        float left = max(rect1.topLeft.x, rect2.topLeft.x);
+        float right = min(rect1.bottomRight.x, rect2.bottomRight.x);
+        float top = max(rect1.topLeft.y, rect2.topLeft.y);
+        float bottom = min(rect1.bottomRight.y, rect2.bottomRight.y);
+    
+    
+        if ( right > left && bottom > top )
+        {
+            return (right-left)*(bottom-top);
+        }
+        
+        return 0.0f;
+    }
+    ```
+
+    Dis code dey define one `Point` struct to store points for di image, and one `Rect` struct to define rectangle using top left and bottom right coordinate. E then define one `area` function wey dey calculate di area of rectangle from top left and bottom right coordinate.
+
+    Next, e define one `overlappingArea` function wey dey calculate di overlapping area of 2 rectangles. If dem no overlap, e go return 0.
+
+1. For di bottom of di `overlappingArea` function, declare one function to convert bounding box to `Rect`:
+
+    ```cpp
+    Rect rectFromBoundingBox(JsonVariant prediction)
+    {
+        JsonObject bounding_box = prediction["boundingBox"].as<JsonObject>();
+    
+        float left = bounding_box["left"].as<float>();
+        float top = bounding_box["top"].as<float>();
+        float width = bounding_box["width"].as<float>();
+        float height = bounding_box["height"].as<float>();
+    
+        Point topLeft = {left, top};
+        Point bottomRight = {left + width, top + height};
+    
+        return {topLeft, bottomRight};
+    }
+    ```
+
+    Dis one dey take prediction from di object detector, e dey extract di bounding box and use di values for di bounding box to define rectangle. Di right side dey calculated from di left plus di width. Di bottom dey calculated as di top plus di height.
+
+1. Di predictions go need compare each other, and if 2 predictions get overlap wey pass di threshold, one of dem go need delete. Di overlap threshold na percentage, so e go need multiply by di size of di smallest bounding box to check say di overlap pass di given percentage of di bounding box, no be di given percentage of di whole image. Start by deleting di content of di `processPredictions` function.
+
+1. Add dis one to di empty `processPredictions` function:
+
+    ```cpp
+    std::vector<JsonVariant> passed_predictions;
+
+    for (int i = 0; i < predictions.size(); ++i)
+    {
+        Rect prediction_1_rect = rectFromBoundingBox(predictions[i]);
+        float prediction_1_area = area(prediction_1_rect);
+        bool passed = true;
+
+        for (int j = i + 1; j < predictions.size(); ++j)
+        {
+            Rect prediction_2_rect = rectFromBoundingBox(predictions[j]);
+            float prediction_2_area = area(prediction_2_rect);
+
+            float overlap = overlappingArea(prediction_1_rect, prediction_2_rect);
+            float smallest_area = min(prediction_1_area, prediction_2_area);
+
+            if (overlap > (overlap_threshold * smallest_area))
+            {
+                passed = false;
+                break;
+            }
+        }
+
+        if (passed)
+        {
+            passed_predictions.push_back(predictions[i]);
+        }
+    }
+    ```
+
+    Dis code dey declare one vector to store di predictions wey no overlap. E then dey loop through all di predictions, dey create one `Rect` from di bounding box.
+
+    Next, dis code dey loop through di remaining predictions, dey start from di one wey dey after di current prediction. Dis one dey stop predictions from dey compare more than once - once 1 and 2 don compare, e no need to compare 2 with 1 again, only with 3, 4, etc.
+
+    For each pair of predictions, di overlapping area go dey calculated. Dis one go then dey compare to di area of di smallest bounding box - if di overlap pass di threshold percentage of di smallest bounding box, di prediction go mark as no pass. If after comparing all di overlap, di prediction pass di checks, e go add am to di `passed_predictions` collection.
+
+    > 💁 Dis na very simple way to remove overlaps, e just dey remove di first one for di overlapping pair. For production code, you go wan put more logic for here, like to consider di overlaps between plenty objects, or if one bounding box dey inside another.
+
+1. After dis one, add dis code to send details of di passed predictions to di serial monitor:
+
+    ```cpp
+    for(JsonVariant prediction : passed_predictions)
+    {
+        String boundingBox = prediction["boundingBox"].as<String>();
+        String tag = prediction["tagName"].as<String>();
+        float probability = prediction["probability"].as<float>();
+
+        char buff[32];
+        sprintf(buff, "%s:\t%.2f%%\t%s", tag.c_str(), probability * 100.0, boundingBox.c_str());
+        Serial.println(buff);
+    }
+    ```
+
+    Dis code dey loop through di passed predictions and dey print dia details to di serial monitor.
+
+1. For di bottom of dis one, add code to print di number of counted items to di serial monitor:
+
+    ```cpp
+    Serial.print("Counted ");
+    Serial.print(passed_predictions.size());
+    Serial.println(" stock items.");
+    ```
+
+    Dis one fit then dey send am to one IoT service to alert if di stock levels dey low.
+
+1. Upload and run your code. Point di camera to objects wey dey for shelf and press di C button. Try adjust di `overlap_threshold` value to see predictions wey dem dey ignore.
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Image captured
+    Image read to buffer with length 17416
+    tomato paste:   35.84%  {"left":0.395631,"top":0.215897,"width":0.180768,"height":0.359364}
+    tomato paste:   35.87%  {"left":0.378554,"top":0.583012,"width":0.14824,"height":0.359382}
+    tomato paste:   34.11%  {"left":0.699024,"top":0.592617,"width":0.124411,"height":0.350456}
+    tomato paste:   35.16%  {"left":0.513006,"top":0.647853,"width":0.187472,"height":0.325817}
+    Counted 4 stock items.
+    ```
+
+> 💁 You fit find dis code for di [code-count/wio-terminal](../../../../../5-retail/lessons/2-check-stock-device/code-count/wio-terminal) folder.
+
+😀 Your stock counter program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/5-retail/lessons/2-check-stock-device/wio-terminal-object-detector.md b/translations/pcm/5-retail/lessons/2-check-stock-device/wio-terminal-object-detector.md
new file mode 100644
index 000000000..0adb5a0da
--- /dev/null
+++ b/translations/pcm/5-retail/lessons/2-check-stock-device/wio-terminal-object-detector.md
@@ -0,0 +1,118 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4cf1421420a6fab9ab4f2c391bd523b7",
+  "translation_date": "2025-11-18T19:53:11+00:00",
+  "source_file": "5-retail/lessons/2-check-stock-device/wio-terminal-object-detector.md",
+  "language_code": "pcm"
+}
+-->
+# Call your object detector from your IoT device - Wio Terminal
+
+Wen you don publish your object detector, you fit use am from your IoT device.
+
+## Copy di image classifier project
+
+Most of di stock detector na di same as di image classifier wey you don create for one previous lesson.
+
+### Task - copy di image classifier project
+
+1. Connect your ArduCam to your Wio Terminal, follow di steps wey dey for [lesson 2 of di manufacturing project](../../../4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md#task---connect-the-camera).
+
+    You fit wan fix di camera for one position, like hang di cable for top box or can, or use double-sided tape take fix di camera to one box.
+
+1. Create new Wio Terminal project with PlatformIO. Give di project name `stock-counter`.
+
+1. Follow di steps wey dey for [lesson 2 of di manufacturing project](../../../4-manufacturing/lessons/2-check-fruit-from-device/README.md#task---capture-an-image-using-an-iot-device) to capture images from di camera.
+
+1. Follow di steps wey dey for [lesson 2 of di manufacturing project](../../../4-manufacturing/lessons/2-check-fruit-from-device/README.md#task---classify-images-from-your-iot-device) to call di image classifier. Most of di code go dey reused to detect objects.
+
+## Change di code from classifier to image detector
+
+Di code wey you use to classify images dey almost di same as di code to detect objects. Di main difference na di URL wey you get from Custom Vision, and di results wey di call go return.
+
+### Task - change di code from classifier to image detector
+
+1. Add dis include directive for di top of di `main.cpp` file:
+
+    ```cpp
+    #include <vector>
+    ```
+
+1. Change di name of di `classifyImage` function to `detectStock`, both di name of di function and di call for di `buttonPressed` function.
+
+1. For di top of di `detectStock` function, declare one threshold to remove any detections wey get low probability:
+
+    ```cpp
+    const float threshold = 0.3f;
+    ```
+
+    Unlike image classifier wey dey return only one result per tag, di object detector go return plenty results, so any wey get low probability need to dey filtered out.
+
+1. For di top of di `detectStock` function, declare one function to process di predictions:
+
+    ```cpp
+    void processPredictions(std::vector<JsonVariant> &predictions)
+    {
+        for(JsonVariant prediction : predictions)
+        {
+            String tag = prediction["tagName"].as<String>();
+            float probability = prediction["probability"].as<float>();
+    
+            char buff[32];
+            sprintf(buff, "%s:\t%.2f%%", tag.c_str(), probability * 100.0);
+            Serial.println(buff);
+        }
+    }
+    ```
+
+    Dis one go take list of predictions and print dem for di serial monitor.
+
+1. For di `detectStock` function, replace di contents of di `for` loop wey dey loop through di predictions with dis:
+
+    ```cpp
+    std::vector<JsonVariant> passed_predictions;
+
+    for(JsonVariant prediction : predictions) 
+    {
+        float probability = prediction["probability"].as<float>();
+        if (probability > threshold)
+        {
+            passed_predictions.push_back(prediction);
+        }
+    }
+
+    processPredictions(passed_predictions);
+    ```
+
+    Dis one go loop through di predictions, compare di probability to di threshold. All predictions wey get probability wey high pass di threshold go dey added to one `list` and go dey passed to di `processPredictions` function.
+
+1. Upload and run your code. Point di camera to objects wey dey for shelf and press di C button. You go see di output for di serial monitor:
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Image captured
+    Image read to buffer with length 17416
+    tomato paste:   35.84%
+    tomato paste:   35.87%
+    tomato paste:   34.11%
+    tomato paste:   35.16%
+    ```
+
+    > 💁 You fit need adjust di `threshold` to better value for your images.
+
+    You go fit see di image wey dem take, and dis values for di **Predictions** tab for Custom Vision.
+
+    ![4 cans of tomato paste for shelf with predictions for di 4 detections of 35.8%, 33.5%, 25.7% and 16.6%](../../../../../translated_images/custom-vision-stock-prediction.942266ab1bcca3410ecdf23643b9f5f570cfab2345235074e24c51f285777613.pcm.png)
+
+> 💁 You fit find dis code for di [code-detect/wio-terminal](../../../../../5-retail/lessons/2-check-stock-device/code-detect/wio-terminal) folder.
+
+😀 Your stock counter program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make sure say e correct, abeg no forget say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make you use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
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+<!--
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+  "source_file": "6-consumer/README.md",
+  "language_code": "pcm"
+}
+-->
+# Consumer IoT - build smart voice assistant
+
+Di food don grow, dem don carry am go processing plant, sort am for quality, sell am for store, and now na time to cook! One important thing wey dey any kitchen na timer. For di beginning, dem start with hour glass - your food go don cook when all di sand don waka go di bottom bulb. Later, dem change am to clockwork, then electric.
+
+Di latest version now na part of our smart devices. For kitchens wey dey houses all over di world, you go hear cooks dey shout "Hey Siri - set 10 minute timer", or "Alexa - cancel my bread timer". You no need waka go back kitchen to check timer again, you fit do am from your phone, or just shout across di room.
+
+For dis 4 lessons, you go learn how to build smart timer, use AI to sabi your voice, understand wetin you dey ask, and reply you with info about your timer. You go also add support for plenty languages.
+
+> ⚠️ To work with speech and microphone data dey use plenty memory, e mean say e easy to reach di limit for microcontrollers. Di project wey dey here don find way to manage dis wahala, but make you sabi say di Wio Terminal labs dey complex and fit take more time pass di other labs for dis curriculum.
+
+> 💁 Dis lessons go use some cloud resources. If you no finish all di lessons for dis project, make sure say you [clean up your project](../clean-up.md).
+
+## Topics
+
+1. [Sabi speech with IoT device](./lessons/1-speech-recognition/README.md)
+1. [Understand language](./lessons/2-language-understanding/README.md)
+1. [Set timer and give spoken feedback](./lessons/3-spoken-feedback/README.md)
+1. [Support plenty languages](./lessons/4-multiple-language-support/README.md)
+
+## Credits
+
+All di lessons na [Jim Bennett](https://GitHub.com/JimBobBennett) write am with ♥️
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even though we dey try make am accurate, abeg make you sabi say machine transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/README.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/README.md
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+<!--
+CO_OP_TRANSLATOR_METADATA:
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+  "source_file": "6-consumer/lessons/1-speech-recognition/README.md",
+  "language_code": "pcm"
+}
+-->
+# Recognize speech wit IoT device
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-21.e34de51354d6606fb5ee08d8c89d0222eea0a2a7aaf744a8805ae847c4f69dc4.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis video go show overview of Azure speech service, na wetin we go talk about for dis lesson:
+
+[![How to get started using your Cognitive Services Speech resource from the Microsoft Azure YouTube channel](https://img.youtube.com/vi/iW0Fw0l3mrA/0.jpg)](https://www.youtube.com/watch?v=iW0Fw0l3mrA)
+
+> 🎥 Click di image above to watch di video
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/41)
+
+## Introduction
+
+'Alexa, set timer for 12 minutes'
+
+'Alexa, wetin remain for di timer?'
+
+'Alexa, set timer for 8 minutes, name am steam broccoli'
+
+Smart devices dey everywhere now. No be only smart speakers like HomePods, Echos, and Google Homes, but dem dey inside our phones, watches, even light fittings and thermostats.
+
+> 💁 I get like 19 devices for my house wey get voice assistant, and na di ones wey I sabi be dat!
+
+Voice control dey make life easy for people wey no fit move well. Whether na permanent disability like person wey no get hand, or temporary one like broken hand, or even when your hand dey full with shopping or you dey carry pikin, to fit control your house with voice instead of hand dey open plenty doors. To shout 'Hey Siri, close my garage door' when you dey change baby diaper and dey handle stubborn toddler fit make life small small better.
+
+One popular way people dey use voice assistant na to set timer, especially for kitchen. To fit set plenty timers with just your voice dey help well well for kitchen - no need to stop kneading dough, stirring soup, or clean hand wey get dumpling filling to use physical timer.
+
+For dis lesson, you go learn how to put voice recognition for IoT devices. You go sabi about microphones as sensors, how to capture audio from microphone wey dey IoT device, and how to use AI to turn wetin e hear to text. For di rest of dis project, you go build smart kitchen timer wey fit set timer with your voice for different languages.
+
+For dis lesson we go talk about:
+
+* [Microphones](../../../../../6-consumer/lessons/1-speech-recognition)
+* [Capture audio from your IoT device](../../../../../6-consumer/lessons/1-speech-recognition)
+* [Speech to text](../../../../../6-consumer/lessons/1-speech-recognition)
+* [Convert speech to text](../../../../../6-consumer/lessons/1-speech-recognition)
+
+## Microphones
+
+Microphones na analog sensors wey dey change sound wave to electrical signal. Vibration for air go make di microphone parts move small small, and e go cause small change for di electrical signal. Dem go amplify di change to create electrical output.
+
+### Microphone types
+
+Microphones get different types:
+
+* Dynamic - Dynamic microphones get magnet wey dey attach to moving diaphragm wey dey move inside wire coil to create electrical current. E dey opposite of loudspeakers wey dey use electrical current to move magnet inside wire coil to create sound. So, speakers fit work as dynamic microphones, and dynamic microphones fit work as speakers. For devices like intercoms wey person dey either talk or listen, one device fit work as both speaker and microphone.
+
+    Dynamic microphones no need power to work, di electrical signal dey come directly from di microphone.
+
+    ![Patti Smith singing into a Shure SM58 (dynamic cardioid type) microphone](../../../../../translated_images/dynamic-mic.8babac890a2d80dfb0874b5bf37d4b851fe2aeb9da6fd72945746176978bf3bb.pcm.jpg)
+
+* Ribbon - Ribbon microphones dey similar to dynamic microphones, but dem get metal ribbon instead of diaphragm. Di ribbon dey move for magnetic field to create electrical current. Like dynamic microphones, ribbon microphones no need power to work.
+
+    ![Edmund Lowe, American actor, standing at radio microphone (labeled for (NBC) Blue Network), holding script, 1942](../../../../../translated_images/ribbon-mic.eacc8e092c7441caee6d7a81e2f40e1675bf36269848964c7c09c9a9acb05127.pcm.jpg)
+
+* Condenser - Condenser microphones get thin metal diaphragm and fixed metal backplate. Electricity dey applied to both, and as di diaphragm dey vibrate, di static charge between di plates dey change to create signal. Condenser microphones need power to work - dem dey call am *Phantom power*.
+
+    ![C451B small-diaphragm condenser microphone by AKG Acoustics](../../../../../translated_images/condenser-mic.6f6ed5b76ca19e0ec3fd0c544601542d4479a6cb7565db336de49fbbf69f623e.pcm.jpg)
+
+* MEMS - Microelectromechanical systems microphones, or MEMS, na microphones wey dey for chip. Dem get pressure-sensitive diaphragm wey dem etch for silicon chip, and dem dey work like condenser microphone. Dis microphones fit dey very small, and dem dey fit inside circuit.
+
+    ![A MEMS microphone on a circuit board](../../../../../translated_images/mems-microphone.80574019e1f5e4d9ee72fed720ecd25a39fc2969c91355d17ebb24ba4159e4c4.pcm.png)
+
+    For di image above, di chip wey dem label **LEFT** na MEMS microphone, with tiny diaphragm wey no reach one millimeter wide.
+
+✅ Do small research: Wetin be di microphones wey dey around you - whether na for your computer, phone, headset or other devices. Wetin be di type of microphones dem be?
+
+### Digital audio
+
+Audio na analog signal wey dey carry plenty fine-grained information. To change dis signal to digital, dem go sample di audio many thousands of times per second.
+
+> 🎓 Sampling na di process to change di audio signal to digital value wey go represent di signal for dat time.
+
+![A line chart showing a signal, with discrete points at fixed intervals](../../../../../translated_images/sampling.6f4fadb3f2d9dfe7618f9edfe75a350e6b3f74293ec84f02ab69c19d2afe3d73.pcm.png)
+
+Digital audio dey use Pulse Code Modulation, or PCM. PCM na di process to read di voltage of di signal, and choose di closest value to di voltage using defined size.
+
+> 💁 You fit think of PCM as di sensor version of pulse width modulation, or PWM (PWM na wetin we talk about for [lesson 3 of di getting started project](../../../1-getting-started/lessons/3-sensors-and-actuators/README.md#pulse-width-modulation)). PCM dey change analog signal to digital, while PWM dey change digital signal to analog.
+
+For example, most streaming music services dey use 16-bit or 24-bit audio. Dis mean say dem dey change di voltage to value wey fit enter 16-bit integer, or 24-bit integer. 16-bit audio dey fit di value into number wey dey range from -32,768 to 32,767, while 24-bit dey range from −8,388,608 to 8,388,607. Di more bits, di closer di sample go dey to wetin our ear dey actually hear.
+
+> 💁 You fit don hear of 8-bit audio, wey dem dey call LoFi. Dis na audio wey dem sample with only 8-bits, so -128 to 127. Di first computer audio na 8 bits because of hardware limitation, so you fit see am for retro gaming.
+
+Dem dey take dis samples many thousands of times per second, with well-defined sample rates wey dem dey measure in KHz (thousands of readings per second). Streaming music services dey use 48KHz for most audio, but some 'lossless' audio dey use up to 96KHz or even 192KHz. Di higher di sample rate, di closer di audio go dey to di original, but e get limit. People dey argue whether humans fit sabi di difference above 48KHz.
+
+✅ Do small research: If you dey use streaming music service, wetin be di sample rate and size wey dem dey use? If you dey use CDs, wetin be di sample rate and size of CD audio?
+
+Audio data get different formats. You don probably hear of mp3 files - audio data wey dem compress to make am small without losing quality. Uncompressed audio dey usually dey as WAV file - dis na file wey get 44 bytes of header information, followed by raw audio data. Di header dey carry information like sample rate (e.g., 16000 for 16KHz), sample size (16 for 16-bit), and di number of channels. After di header, di WAV file go carry di raw audio data.
+
+> 🎓 Channels na how many different audio streams dey inside di audio. For example, stereo audio wey get left and right go get 2 channels. For 7.1 surround sound for home theater system, e go get 8.
+
+### Audio data size
+
+Audio data dey big. For example, to capture uncompressed 16-bit audio at 16KHz (wey dey good enough for speech to text model), e go take 32KB of data for each second of audio:
+
+* 16-bit mean 2 bytes per sample (1 byte na 8 bits).
+* 16KHz na 16,000 samples per second.
+* 16,000 x 2 bytes = 32,000 bytes per second.
+
+E fit sound small, but if you dey use microcontroller wey get small memory, e fit plenty. For example, Wio Terminal get 192KB memory, and dat one go still store program code and variables. Even if your program code dey small, you no fit capture more than 5 seconds of audio.
+
+Microcontrollers fit access extra storage, like SD cards or flash memory. If you dey build IoT device wey dey capture audio, you go need make sure say you get extra storage, and your code dey write di audio wey microphone capture directly to di storage. When you wan send am to di cloud, you go stream am from storage to di web request. Dis one go help you avoid memory wahala wey fit happen if you try hold di whole audio data for memory at once.
+
+## Capture audio from your IoT device
+
+Your IoT device fit connect to microphone to capture audio, ready to change am to text. E fit also connect to speakers to play audio. For later lessons, we go use am to give audio feedback, but e good to set up speakers now to test di microphone.
+
+### Task - configure your microphone and speakers
+
+Follow di guide wey match your device to configure microphone and speakers:
+
+* [Arduino - Wio Terminal](wio-terminal-microphone.md)
+* [Single-board computer - Raspberry Pi](pi-microphone.md)
+* [Single-board computer - Virtual device](virtual-device-microphone.md)
+
+### Task - capture audio
+
+Follow di guide wey match your device to capture audio:
+
+* [Arduino - Wio Terminal](wio-terminal-audio.md)
+* [Single-board computer - Raspberry Pi](pi-audio.md)
+* [Single-board computer - Virtual device](virtual-device-audio.md)
+
+## Speech to text
+
+Speech to text, or speech recognition, na di process to use AI to change words for audio signal to text.
+
+### Speech recognition models
+
+To change speech to text, dem dey group di audio signal samples together and put dem inside machine learning model wey dey based on Recurrent Neural Network (RNN). Dis type of machine learning model dey use previous data to decide wetin di new data mean. For example, di RNN fit detect one block of audio samples as di sound 'Hel', and when e see another one wey e think say na 'lo', e fit join dem together, find say 'Hello' na valid word, and choose am as di answer.
+
+ML models dey always accept data wey get di same size every time. Di image classifier wey you build for earlier lesson dey resize images to fixed size before e process dem. Di same thing dey happen for speech models, dem dey process fixed size audio chunks. Speech models dey combine di outputs of multiple predictions to get di answer, so dem fit know di difference between 'Hi' and 'Highway', or 'flock' and 'floccinaucinihilipilification'.
+
+Speech models don advance reach di level wey dem fit understand context, and fit correct di words wey dem detect as dem dey process more sounds. For example, if you talk "I went to the shops to get two bananas and an apple too", you go use three words wey sound di same, but dem spell different - to, two, and too. Speech models fit understand di context and use di correct spelling.
+
+> 💁 Some speech services dey allow customization to make dem work better for noisy places like factories, or with industry-specific words like chemical names. Dis customization dey train by providing sample audio and transcription, and e dey work with transfer learning, di same way you train image classifier with only few images for earlier lesson.
+
+### Privacy
+
+When you dey use speech to text for consumer IoT device, privacy dey very important. Dis devices dey listen to audio steady, so as consumer, you no go want make everything wey you talk dey go cloud dey turn to text. E no go only use plenty Internet bandwidth, e go also get big privacy wahala, especially when some smart device makers dey randomly select audio for [humans to check against di text wey dem generate to help improve di model](https://www.theverge.com/2019/4/10/18305378/amazon-alexa-ai-voice-assistant-annotation-listen-private-recordings).
+You go wan make sure say your smart device no dey send audio go cloud for processing unless you dey use am, no be when e dey hear audio for your house, audio wey fit include private meeting or personal gist. Most smart devices dey work with *wake word*, one key phrase like "Alexa", "Hey Siri", or "OK Google" wey go make the device 'wake up' and begin listen to wetin you dey talk until e detect say you don stop to dey talk, wey mean say you don finish to dey talk to the device.
+
+> 🎓 Wake word detection dey also dey call *Keyword spotting* or *Keyword recognition*.
+
+Dem dey detect this wake word for the device, no be for cloud. These smart devices get small AI models wey dey run for the device wey dey listen for the wake word, and when e detect am, e go begin stream the audio go cloud for recognition. These models dey very specialized, and dem dey just dey listen for the wake word.
+
+> 💁 Some tech companies dey add more privacy to their devices and dey do some of the speech to text conversion for the device. Apple don announce say for their 2021 iOS and macOS updates, dem go support speech to text conversion for device, and fit handle many requests without needing to use the cloud. This one na because dem get powerful processors for their devices wey fit run ML models.
+
+✅ Wetin you think say be the privacy and ethical wahala wey dey follow storing the audio wey dem send go cloud? Dem suppose store this audio, and if yes, how dem go do am? You think say using recordings for law enforcement na better trade off for the loss of privacy?
+
+Wake word detection dey usually use one technique wey dem dey call TinyML, wey mean say dem dey convert ML models to fit run for microcontrollers. These models dey small in size, and dem no dey use plenty power to run.
+
+To avoid the wahala of training and using wake word model, the smart timer wey you dey build for this lesson go use button to turn on the speech recognition.
+
+> 💁 If you wan try create wake word detection model wey go run for Wio Terminal or Raspberry Pi, check this [responding to your voice tutorial by Edge Impulse](https://docs.edgeimpulse.com/docs/responding-to-your-voice). If you wan use your computer do am, you fit try the [get started with Custom Keyword quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/keyword-recognition-overview?WT.mc_id=academic-17441-jabenn).
+
+## Convert speech to text
+
+![Speech services logo](../../../../../translated_images/azure-speech-logo.a1f08c4befb0159f2cb5d692d3baf5b599e7b44759d316da907bda1508f46a4a.pcm.png)
+
+Just like how e be for image classification for one earlier project, dem get pre-built AI services wey fit take speech as audio file and convert am to text. One of these services na Speech Service, part of the Cognitive Services, pre-built AI services wey you fit use for your apps.
+
+### Task - configure a speech AI resource
+
+1. Create one Resource Group for this project wey dem go call `smart-timer`
+
+1. Use this command wey dey below to create free speech resource:
+
+    ```sh
+    az cognitiveservices account create --name smart-timer \
+                                        --resource-group smart-timer \
+                                        --kind SpeechServices \
+                                        --sku F0 \
+                                        --yes \
+                                        --location <location>
+    ```
+
+    Replace `<location>` with the location wey you use when you dey create the Resource Group.
+
+1. You go need API key to fit access the speech resource from your code. Run this command wey dey below to get the key:
+
+    ```sh
+    az cognitiveservices account keys list --name smart-timer \
+                                           --resource-group smart-timer \
+                                           --output table
+    ```
+
+    Copy one of the keys.
+
+### Task - convert speech to text
+
+Follow the guide wey dey relevant to convert speech to text for your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-speech-to-text.md)
+* [Single-board computer - Raspberry Pi](pi-speech-to-text.md)
+* [Single-board computer - Virtual device](virtual-device-speech-to-text.md)
+
+---
+
+## 🚀 Challenge
+
+Speech recognition don dey for long time, and e dey improve every time. Do research about the current capabilities and compare how dem don change over time, including how accurate machine transcriptions dey compared to human.
+
+Wetin you think say the future go be for speech recognition?
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/42)
+
+## Review & Self Study
+
+* Read about the different microphone types and how dem dey work for the [what's the difference between dynamic and condenser microphones article on Musician's HQ](https://musicianshq.com/whats-the-difference-between-dynamic-and-condenser-microphones/).
+* Read more about the Cognitive Services speech service for the [speech service documentation on Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/?WT.mc_id=academic-17441-jabenn)
+* Read about keyword spotting for the [keyword recognition documentation on Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/keyword-recognition-overview?WT.mc_id=academic-17441-jabenn)
+
+## Assignment
+
+[](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/assignment.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/assignment.md
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@@ -0,0 +1,23 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "5ae7654f519ae831179409dc8e528055",
+  "translation_date": "2025-11-18T19:29:50+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/assignment.md",
+  "language_code": "pcm"
+}
+-->
+## Instructions
+
+## Rubric
+
+| Criteria | Beta | E go do | E need better |
+| -------- | ----- | ------- | ------------- |
+| |  |  |  |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey di native language na di one wey you go take as di correct source. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-audio.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-audio.md
new file mode 100644
index 000000000..6f4a1f157
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-audio.md
@@ -0,0 +1,229 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "0ac0afcfb40cb5970ef4cb74f01c32e9",
+  "translation_date": "2025-11-18T19:29:29+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/pi-audio.md",
+  "language_code": "pcm"
+}
+-->
+# Capture audio - Raspberry Pi
+
+For dis part of di lesson, you go write code wey go capture audio for your Raspberry Pi. Di audio capture go dey control by one button.
+
+## Hardware
+
+Raspberry Pi need one button to control di audio capture.
+
+Di button wey you go use na Grove button. Dis one na digital sensor wey dey turn signal on or off. Di button fit configure to send high signal wen you press am, and low wen you no press am, or low wen you press am and high wen you no press am.
+
+If you dey use ReSpeaker 2-Mics Pi HAT as microphone, you no need connect button because di hat don already get button. Just move go di next section.
+
+### Connect di button
+
+Di button fit connect to di Grove base hat.
+
+#### Task - connect di button
+
+![A grove button](../../../../../translated_images/grove-button.a70cfbb809a8563681003250cf5b06d68cdcc68624f9e2f493d5a534ae2da1e5.pcm.png)
+
+1. Put one end of Grove cable inside di socket for di button module. E go only enter one way.
+
+1. Wen di Raspberry Pi dey off, connect di other end of di Grove cable to di digital socket wey dem mark **D5** for di Grove Base hat wey dey attach to di Pi. Dis socket na di second one from di left, for di row of sockets wey dey near di GPIO pins.
+
+![Di grove button wey connect to socket D5](../../../../../translated_images/pi-button.c7a1a4f55943341ce1baf1057658e9a205804d4131d258e820c93f951df0abf3.pcm.png)
+
+## Capture audio
+
+You fit capture audio from di microphone using Python code.
+
+### Task - capture audio
+
+1. Power di Pi and wait make e boot.
+
+1. Open VS Code, either directly for di Pi, or connect am through di Remote SSH extension.
+
+1. Di PyAudio Pip package get functions to record and play back audio. Dis package dey depend on some audio libraries wey you need install first. Run di commands wey dey below for terminal to install dem:
+
+    ```sh
+    sudo apt update
+    sudo apt install libportaudio0 libportaudio2 libportaudiocpp0 portaudio19-dev libasound2-plugins --yes 
+    ```
+
+1. Install di PyAudio Pip package.
+
+    ```sh
+    pip3 install pyaudio
+    ```
+
+1. Create new folder wey you go call `smart-timer` and add one file wey you go call `app.py` inside di folder.
+
+1. Add di imports wey dey below to di top of dis file:
+
+    ```python
+    import io
+    import pyaudio
+    import time
+    import wave
+    
+    from grove.factory import Factory
+    ```
+
+    Dis one dey import di `pyaudio` module, some standard Python modules to handle wave files, and di `grove.factory` module to import `Factory` wey go create button class.
+
+1. Under dis one, add code to create Grove button.
+
+    If you dey use di ReSpeaker 2-Mics Pi HAT, use dis code:
+
+    ```python
+    # The button on the ReSpeaker 2-Mics Pi HAT
+    button = Factory.getButton("GPIO-LOW", 17)
+    ```
+
+    Dis one dey create button for port **D17**, di port wey di button for di ReSpeaker 2-Mics Pi HAT dey connect to. Dis button dey set to send low signal wen you press am.
+
+    If you no dey use di ReSpeaker 2-Mics Pi HAT, and you dey use Grove button wey connect to di base hat, use dis code.
+
+    ```python
+    button = Factory.getButton("GPIO-HIGH", 5)
+    ```
+
+    Dis one dey create button for port **D5** wey dem set to send high signal wen you press am.
+
+1. Under dis one, create instance of di PyAudio class wey go handle audio:
+
+    ```python
+    audio = pyaudio.PyAudio()
+    ```
+
+1. Declare di hardware card number for di microphone and speaker. Dis one go be di number of di card wey you find wen you run `arecord -l` and `aplay -l` earlier for dis lesson.
+
+    ```python
+    microphone_card_number = <microphone card number>
+    speaker_card_number = <speaker card number>
+    ```
+
+    Replace `<microphone card number>` with di number of your microphone card.
+
+    Replace `<speaker card number>` with di number of your speaker card, di same number wey you set for di `alsa.conf` file.
+
+1. Under dis one, declare di sample rate wey you go use for di audio capture and playback. You fit need change dis one depending on di hardware wey you dey use.
+
+    ```python
+    rate = 48000 #48KHz
+    ```
+
+    If you dey get sample rate errors wen you dey run dis code later, change dis value to `44100` or `16000`. Di higher di value, di better di sound quality.
+
+1. Under dis one, create new function wey you go call `capture_audio`. Dis one go dey called to capture audio from di microphone:
+
+    ```python
+    def capture_audio():
+    ```
+
+1. Inside dis function, add di code wey dey below to capture di audio:
+
+    ```python
+    stream = audio.open(format = pyaudio.paInt16,
+                        rate = rate,
+                        channels = 1, 
+                        input_device_index = microphone_card_number,
+                        input = True,
+                        frames_per_buffer = 4096)
+
+    frames = []
+
+    while button.is_pressed():
+        frames.append(stream.read(4096))
+
+    stream.stop_stream()
+    stream.close()
+    ```
+
+    Dis code dey open audio input stream using di PyAudio object. Dis stream go capture audio from di microphone at 16KHz, dey capture am inside buffers wey be 4096 bytes in size.
+
+    Di code go dey loop wen di Grove button dey pressed, dey read dis 4096 byte buffers into array each time.
+
+    > 💁 You fit read more about di options wey dem pass to di `open` method for di [PyAudio documentation](https://people.csail.mit.edu/hubert/pyaudio/docs/).
+
+    Wen di button release, di stream go stop and close.
+
+1. Add di code wey dey below to di end of dis function:
+
+    ```python
+    wav_buffer = io.BytesIO()
+    with wave.open(wav_buffer, 'wb') as wavefile:
+        wavefile.setnchannels(1)
+        wavefile.setsampwidth(audio.get_sample_size(pyaudio.paInt16))
+        wavefile.setframerate(rate)
+        wavefile.writeframes(b''.join(frames))
+        wav_buffer.seek(0)
+
+    return wav_buffer
+    ```
+
+    Dis code dey create binary buffer, and dey write all di captured audio to am as [WAV file](https://wikipedia.org/wiki/WAV). Dis one na standard way to write uncompressed audio to file. Di buffer go then return.
+
+1. Add di `play_audio` function wey dey below to play back di audio buffer:
+
+    ```python
+    def play_audio(buffer):
+        stream = audio.open(format = pyaudio.paInt16,
+                            rate = rate,
+                            channels = 1,
+                            output_device_index = speaker_card_number,
+                            output = True)
+    
+        with wave.open(buffer, 'rb') as wf:
+            data = wf.readframes(4096)
+    
+            while len(data) > 0:
+                stream.write(data)
+                data = wf.readframes(4096)
+    
+            stream.close()
+    ```
+
+    Dis function dey open another audio stream, dis time for output - to play di audio. E dey use di same settings as di input stream. Di buffer go then open as wave file and write am to di output stream in 4096 byte chunks, dey play di audio. Di stream go then close.
+
+1. Add di code wey dey below di `capture_audio` function to loop until di button dey pressed. Wen di button dey pressed, di audio go capture, then play.
+
+    ```python
+    while True:
+        while not button.is_pressed():
+            time.sleep(.1)
+        
+        buffer = capture_audio()
+        play_audio(buffer)
+    ```
+
+1. Run di code. Press di button and talk inside di microphone. Release di button wen you don finish, and you go hear di recording.
+
+    You fit get some ALSA errors wen di PyAudio instance dey created. Dis one dey happen because of di configuration for di Pi for audio devices wey you no get. You fit ignore dis errors.
+
+    ```output
+    pi@raspberrypi:~/smart-timer $ python3 app.py 
+    ALSA lib pcm.c:2565:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.front
+    ALSA lib pcm.c:2565:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.rear
+    ALSA lib pcm.c:2565:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.center_lfe
+    ALSA lib pcm.c:2565:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.side
+    ```
+
+    If you get dis error:
+
+    ```output
+    OSError: [Errno -9997] Invalid sample rate
+    ```
+
+    then change di `rate` to either 44100 or 16000.
+
+> 💁 You fit find dis code for di [code-record/pi](../../../../../6-consumer/lessons/1-speech-recognition/code-record/pi) folder.
+
+😀 Your audio recording program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no correct well. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-microphone.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-microphone.md
new file mode 100644
index 000000000..16b140ecc
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-microphone.md
@@ -0,0 +1,159 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "7e45d884493c5222348b43fbc4481b6a",
+  "translation_date": "2025-11-18T19:28:03+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/pi-microphone.md",
+  "language_code": "pcm"
+}
+-->
+# Configure your microphone and speakers - Raspberry Pi
+
+For dis part of di lesson, you go add microphone and speakers to your Raspberry Pi.
+
+## Hardware
+
+Raspberry Pi need microphone.
+
+Di Pi no get microphone wey dey inside am, so you go need add external microphone. You fit do am in different ways:
+
+* USB microphone
+* USB headset
+* USB all in one speakerphone
+* USB audio adapter and microphone wey get 3.5mm jack
+* [ReSpeaker 2-Mics Pi HAT](https://www.seeedstudio.com/ReSpeaker-2-Mics-Pi-HAT.html)
+
+> 💁 Bluetooth microphones no dey work well for Raspberry Pi, so if you get bluetooth microphone or headset, you fit get wahala to pair am or capture audio.
+
+Raspberry Pi get 3.5mm headphone jack. You fit use am connect headphones, headset or speaker. You fit also add speakers using:
+
+* HDMI audio through monitor or TV
+* USB speakers
+* USB headset
+* USB all in one speakerphone
+* [ReSpeaker 2-Mics Pi HAT](https://www.seeedstudio.com/ReSpeaker-2-Mics-Pi-HAT.html) wey get speaker wey you fit attach, either to di 3.5mm jack or di JST port
+
+## Connect and configure di microphone and speakers
+
+Di microphone and speakers need make you connect and configure dem.
+
+### Task - connect and configure di microphone
+
+1. Connect di microphone using di correct method. For example, connect am through one of di USB ports.
+
+1. If you dey use di ReSpeaker 2-Mics Pi HAT, you fit remove di Grove base hat, then put di ReSpeaker hat for di place.
+
+    ![A raspberry pi with a ReSpeaker hat](../../../../../translated_images/pi-respeaker-hat.f00fabe7dd039a93e2e0aa0fc946c9af0c6a9eb17c32fa1ca097fb4e384f69f0.pcm.png)
+
+    You go need Grove button later for dis lesson, but one dey inside dis hat, so di Grove base hat no dey necessary.
+
+    Once you don fit di hat, you go need install some drivers. Check di [Seeed getting started instructions](https://wiki.seeedstudio.com/ReSpeaker_2_Mics_Pi_HAT_Raspberry/#getting-started) for driver installation instructions.
+
+    > ⚠️ Di instructions dey use `git` to clone repository. If you no get `git` for your Pi, you fit install am by running dis command:
+    >
+    > ```sh
+    > sudo apt install git --yes
+    > ```
+
+1. Run dis command for your Terminal either for di Pi, or connect am using VS Code and remote SSH session to see info about di microphone wey you connect:
+
+    ```sh
+    arecord -l
+    ```
+
+    You go see list of microphones wey dey connect. E go look like dis:
+
+    ```output
+    pi@raspberrypi:~ $ arecord -l
+    **** List of CAPTURE Hardware Devices ****
+    card 1: M0 [eMeet M0], device 0: USB Audio [USB Audio]
+      Subdevices: 1/1
+      Subdevice #0: subdevice #0
+    ```
+
+    If you get only one microphone, you go see only one entry. Configuration of microphones fit hard for Linux, so e better make you use only one microphone and unplug any other one.
+
+    Write down di card number, you go need am later. For di output wey dey above, di card number na 1.
+
+### Task - connect and configure di speaker
+
+1. Connect di speakers using di correct method.
+
+1. Run dis command for your Terminal either for di Pi, or connect am using VS Code and remote SSH session to see info about di speakers wey you connect:
+
+    ```sh
+    aplay -l
+    ```
+
+    You go see list of speakers wey dey connect. E go look like dis:
+
+    ```output
+    pi@raspberrypi:~ $ aplay -l
+    **** List of PLAYBACK Hardware Devices ****
+    card 0: Headphones [bcm2835 Headphones], device 0: bcm2835 Headphones [bcm2835 Headphones]
+      Subdevices: 8/8
+      Subdevice #0: subdevice #0
+      Subdevice #1: subdevice #1
+      Subdevice #2: subdevice #2
+      Subdevice #3: subdevice #3
+      Subdevice #4: subdevice #4
+      Subdevice #5: subdevice #5
+      Subdevice #6: subdevice #6
+      Subdevice #7: subdevice #7
+    card 1: M0 [eMeet M0], device 0: USB Audio [USB Audio]
+      Subdevices: 1/1
+      Subdevice #0: subdevice #0
+    ```
+
+    You go always see `card 0: Headphones` because na di headphone jack wey dey inside di Pi. If you add extra speakers, like USB speaker, you go see am for di list too.
+
+1. If you dey use extra speaker, and no be speaker or headphones wey connect to di headphone jack wey dey inside di Pi, you need configure am as di default. To do dis, run dis command:
+
+    ```sh
+    sudo nano /usr/share/alsa/alsa.conf
+    ```
+
+    Dis go open configuration file for `nano`, wey be terminal-based text editor. Use di arrow keys for your keyboard scroll down until you see dis line:
+
+    ```output
+    defaults.pcm.card 0
+    ```
+
+    Change di value from `0` to di card number of di card wey you wan use from di list wey come back from di call to `aplay -l`. For example, for di output wey dey above, e get second sound card wey be `card 1: M0 [eMeet M0], device 0: USB Audio [USB Audio]`, wey dey use card 1. To use dis one, I go update di line to be:
+
+    ```output
+    defaults.pcm.card 1
+    ```
+
+    Set dis value to di correct card number. You fit use di arrow keys for your keyboard navigate to di number, then delete and type di new number like normal when you dey edit text files.
+
+1. Save di changes and close di file by pressing `Ctrl+x`. Press `y` to save di file, then `return` to select di file name.
+
+### Task - test di microphone and speaker
+
+1. Run dis command to record 5 seconds of audio through di microphone:
+
+    ```sh
+    arecord --format=S16_LE --duration=5 --rate=16000 --file-type=wav out.wav
+    ```
+
+    As dis command dey run, make noise into di microphone like talk, sing, beat box, play instrument or anything wey you like.
+
+1. After 5 seconds, di recording go stop. Run dis command to play di audio:
+
+    ```sh
+    aplay --format=S16_LE --rate=16000 out.wav
+    ```
+
+    You go hear di audio wey dey play back through di speakers. Adjust di output volume for your speaker if e dey necessary.
+
+1. If you need adjust di volume of di microphone port wey dey inside di Pi, or adjust di gain of di microphone, you fit use di `alsamixer` utility. You fit read more about dis utility for di [Linux alsamixer man page](https://linux.die.net/man/1/alsamixer)
+
+1. If you get errors to play di audio, check di card wey you set as di `defaults.pcm.card` for di `alsa.conf` file.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don dey translet wit AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am correct, abeg make you sabi say translet wey machine do fit get mistake or no dey accurate. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-speech-to-text.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-speech-to-text.md
new file mode 100644
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--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/pi-speech-to-text.md
@@ -0,0 +1,128 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "af249a24d4fe4f4de4806adbc3bc9d86",
+  "translation_date": "2025-11-18T19:27:30+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/pi-speech-to-text.md",
+  "language_code": "pcm"
+}
+-->
+# Speech to text - Raspberry Pi
+
+For dis part of di lesson, you go write code wey go change di speech wey dey di audio wey you capture to text using di speech service.
+
+## Send di audio go di speech service
+
+You fit send di audio go di speech service using di REST API. To use di speech service, first you go need request access token, then use dat token take access di REST API. Dis access tokens dey expire after 10 minutes, so your code suppose dey request dem regularly to make sure say dem dey always up to date.
+
+### Task - get access token
+
+1. Open di `smart-timer` project for your Pi.
+
+1. Comot di `play_audio` function. You no need am again because you no want make di smart timer dey repeat wetin you talk.
+
+1. Add dis import for di top of di `app.py` file:
+
+    ```python
+    import requests
+    ```
+
+1. Add dis code above di `while True` loop to set some settings for di speech service:
+
+    ```python
+    speech_api_key = '<key>'
+    location = '<location>'
+    language = '<language>'
+    ```
+
+    Change `<key>` to di API key for your speech service resource. Change `<location>` to di location wey you use when you create di speech service resource.
+
+    Change `<language>` to di locale name for di language wey you go dey speak, like `en-GB` for English, or `zn-HK` for Cantonese. You fit find list of di supported languages and dia locale names for di [Language and voice support documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+1. Under dis one, add dis function to get access token:
+
+    ```python
+    def get_access_token():
+        headers = {
+            'Ocp-Apim-Subscription-Key': speech_api_key
+        }
+    
+        token_endpoint = f'https://{location}.api.cognitive.microsoft.com/sts/v1.0/issuetoken'
+        response = requests.post(token_endpoint, headers=headers)
+        return str(response.text)
+    ```
+
+    Dis one dey call di token issuing endpoint, e dey pass di API key as header. Di call go return access token wey you fit use call di speech services.
+
+1. Under dis one, declare function wey go change di speech wey dey di audio wey you capture to text using di REST API:
+
+    ```python
+    def convert_speech_to_text(buffer):
+    ```
+
+1. Inside dis function, set up di REST API URL and headers:
+
+    ```python
+    url = f'https://{location}.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1'
+
+    headers = {
+        'Authorization': 'Bearer ' + get_access_token(),
+        'Content-Type': f'audio/wav; codecs=audio/pcm; samplerate={rate}',
+        'Accept': 'application/json;text/xml'
+    }
+
+    params = {
+        'language': language
+    }
+    ```
+
+    Dis one dey build URL using di location of di speech services resource. E go then put di headers with di access token wey come from di `get_access_token` function, plus di sample rate wey dem use capture di audio. Finally, e go define some parameters wey go follow di URL wey dey contain di language wey dey di audio.
+
+1. Under dis one, add dis code to call di REST API and get di text back:
+
+    ```python
+    response = requests.post(url, headers=headers, params=params, data=buffer)
+    response_json = response.json()
+
+    if response_json['RecognitionStatus'] == 'Success':
+        return response_json['DisplayText']
+    else:
+        return ''
+    ```
+
+    Dis one dey call di URL and decode di JSON value wey dey di response. Di `RecognitionStatus` value wey dey di response go show if di call fit change di speech to text well, and if e be `Success`, di text go return from di function, but if e no be `Success`, e go return empty string.
+
+1. Above di `while True:` loop, define function wey go process di text wey di speech to text service return. Dis function go just print di text for di console for now.
+
+    ```python
+    def process_text(text):
+        print(text)
+    ```
+
+1. Finally, change di call to `play_audio` for di `while True` loop to call di `convert_speech_to_text` function, and pass di text to di `process_text` function:
+
+    ```python
+    text = convert_speech_to_text(buffer)
+    process_text(text)
+    ```
+
+1. Run di code. Press di button and talk for di microphone. Release di button when you don finish, and di audio go change to text and e go print for di console.
+
+    ```output
+    pi@raspberrypi:~/smart-timer $ python3 app.py 
+    Hello world.
+    Welcome to IoT for beginners.
+    ```
+
+    Try different types of sentences, plus sentences wey words dey sound alike but get different meanings. For example, if you dey speak English, talk 'I want to buy two bananas and an apple too', and notice how e go use di correct to, two and too based on di context of di word, no be just di sound.
+
+> 💁 You fit find dis code for di [code-speech-to-text/pi](../../../../../6-consumer/lessons/1-speech-recognition/code-speech-to-text/pi) folder.
+
+😀 Your speech to text program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-audio.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-audio.md
new file mode 100644
index 000000000..24ea50561
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-audio.md
@@ -0,0 +1,19 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "e4f2925acb211765889c3b51b9116ceb",
+  "translation_date": "2025-11-18T19:28:29+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/virtual-device-audio.md",
+  "language_code": "pcm"
+}
+-->
+# Capture audio - Virtual IoT device
+
+Di Python libraries wey you go use later for dis lesson to change speech to text get audio capture wey dey work for Windows, macOS and Linux. You no need do anything for here.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important information, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-microphone.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-microphone.md
new file mode 100644
index 000000000..9774696ac
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-microphone.md
@@ -0,0 +1,28 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "7a65ee743f916276a2848b8a9491feb7",
+  "translation_date": "2025-11-18T19:26:23+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/virtual-device-microphone.md",
+  "language_code": "pcm"
+}
+-->
+# Configure your microphone and speakers - Virtual IoT Hardware
+
+Di virtual IoT hardware go use microphone and speakers wey dey attach to your computer.
+
+If your computer no get microphone and speakers wey dem build inside, you go need attach dem using hardware wey you like, like:
+
+* USB microphone  
+* USB speakers  
+* Speakers wey dem build inside your monitor and connect am with HDMI  
+* Bluetooth headset  
+
+Check di instructions wey your hardware manufacturer give to install and configure di hardware.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg make you sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important information, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-speech-to-text.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-speech-to-text.md
new file mode 100644
index 000000000..228266d45
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/virtual-device-speech-to-text.md
@@ -0,0 +1,115 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c0550b254b9ba2539baf1e6bb5fc05f8",
+  "translation_date": "2025-11-18T19:28:49+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/virtual-device-speech-to-text.md",
+  "language_code": "pcm"
+}
+-->
+# Tok to text - Virtual IoT device
+
+For dis part of di lesson, you go write code wey go change tok wey microphone capture to text using di speech service.
+
+## Change tok to text
+
+For Windows, Linux, and macOS, di speech services Python SDK fit dey use to listen to your microphone and change any tok wey e detect to text. E go dey listen steady, dey check di audio level and send di tok for conversion to text when di audio level go down, like when person finish one block of tok.
+
+### Task - change tok to text
+
+1. Create new Python app for your computer inside one folder wey you go call `smart-timer` with one file wey you go call `app.py` and one Python virtual environment.
+
+1. Install di Pip package for di speech services. Make sure say you dey install am from terminal wey di virtual environment don activate.
+
+    ```sh
+    pip install azure-cognitiveservices-speech
+    ```
+
+    > ⚠️ If you see dis error:
+    >
+    > ```output
+    > ERROR: Could not find a version that satisfies the requirement azure-cognitiveservices-speech (from versions: none)
+    > ERROR: No matching distribution found for azure-cognitiveservices-speech
+    > ```
+    >
+    > You go need update Pip. Use dis command do am, then try install di package again.
+    >
+    > ```sh
+    > pip install --upgrade pip
+    > ```
+
+1. Add di imports wey dey below to di `app.py` file:
+
+    ```python
+    import requests
+    import time
+    from azure.cognitiveservices.speech import SpeechConfig, SpeechRecognizer
+    ```
+
+    Dis one go import some classes wey dem dey use to recognize tok.
+
+1. Add di code wey dey below to declare some configuration:
+
+    ```python
+    speech_api_key = '<key>'
+    location = '<location>'
+    language = '<language>'
+
+    recognizer_config = SpeechConfig(subscription=speech_api_key,
+                                     region=location,
+                                     speech_recognition_language=language)
+    ```
+
+    Change `<key>` to di API key for your speech service. Change `<location>` to di location wey you use when you create di speech service resource.
+
+    Change `<language>` to di locale name for di language wey you go dey tok, like `en-GB` for English, or `zn-HK` for Cantonese. You fit find list of di languages wey dem support and di locale names for di [Language and voice support documentation for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+    Dis configuration go dey use to create `SpeechConfig` object wey go configure di speech services.
+
+1. Add di code wey dey below to create speech recognizer:
+
+    ```python
+    recognizer = SpeechRecognizer(speech_config=recognizer_config)
+    ```
+
+1. Di speech recognizer dey run for background thread, dey listen for audio and dey change any tok wey dey inside am to text. You fit collect di text using callback function - na function wey you go define and pass to di recognizer. Anytime e detect tok, e go call di callback. Add di code wey dey below to define callback, and pass dis callback to di recognizer, plus define function wey go process di text, write am for console:
+
+    ```python
+    def process_text(text):
+        print(text)
+
+    def recognized(args):
+        process_text(args.result.text)
+    
+    recognizer.recognized.connect(recognized)
+    ```
+
+1. Di recognizer no go start to dey listen until you start am yourself. Add di code wey dey below to start di recognition. E dey run for background, so your app go need infinite loop wey go dey sleep to keep di app dey run.
+
+    ```python
+    recognizer.start_continuous_recognition()
+
+    while True:
+        time.sleep(1)
+    ```
+
+1. Run dis app. Tok for your microphone and di audio wey dem change to text go show for di console.
+
+    ```output
+    (.venv) ➜  smart-timer python3 app.py
+    Hello world.
+    Welcome to IoT for beginners.
+    ```
+
+    Try different types of sentence, plus sentence wey words dey sound di same but get different meaning. For example, if you dey tok English, say 'I want to buy two bananas and an apple too', and notice how e go use di correct to, two and too based on di context of di word, no be just di sound.
+
+> 💁 You fit find dis code for di [code-speech-to-text/virtual-iot-device](../../../../../6-consumer/lessons/1-speech-recognition/code-speech-to-text/virtual-iot-device) folder.
+
+😀 Your tok to text program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am correct, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md
new file mode 100644
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@@ -0,0 +1,552 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "2f336726b9410e97c3aaed76cc89b0d8",
+  "translation_date": "2025-11-18T19:23:24+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md",
+  "language_code": "pcm"
+}
+-->
+# Capture audio - Wio Terminal
+
+For dis part of di lesson, you go write code wey go capture audio for your Wio Terminal. Di audio capture go dey control by one of di buttons wey dey di top of di Wio Terminal.
+
+## Program di device to capture audio
+
+You fit capture audio from di microphone using C++ code. Di Wio Terminal get only 192KB RAM, e no go fit capture pass few seconds of audio. E also get 4MB flash memory, so you fit use am instead, save di captured audio for di flash memory.
+
+Di microphone wey dey inside di Wio Terminal dey capture analog signal, wey dem go convert to digital signal wey di Wio Terminal fit use. Wen you dey capture audio, di data need to dey capture for di correct time - for example, to capture audio for 16KHz, di audio need to dey capture exactly 16,000 times per second, with equal time gap between each sample. Instead make your code dey do dis one, you fit use di direct memory access controller (DMAC). Dis na hardware wey fit capture signal from somewhere and write am go memory, e no go disturb your code wey dey run for di processor.
+
+✅ Read more about DMA for di [direct memory access page for Wikipedia](https://wikipedia.org/wiki/Direct_memory_access).
+
+![Audio from di mic dey go ADC then DMAC. DMAC dey write to one buffer. Wen di buffer don full, e go process am and DMAC go write to di second buffer](../../../../../translated_images/dmac-adc-buffers.4509aee49145c90bc2e1be472b8ed2ddfcb2b6a81ad3e559114aca55f5fff759.pcm.png)
+
+Di DMAC fit capture audio from di ADC for fixed time gap, like 16,000 times per second for 16KHz audio. E fit write di captured data go pre-allocated memory buffer, and wen di buffer don full, e go make am available for your code to process. Using dis memory fit delay di audio capture, but you fit set up multiple buffers. Di DMAC go write to buffer 1, wen e don full, e go notify your code to process buffer 1, while di DMAC dey write to buffer 2. Wen buffer 2 don full, e go notify your code, and e go go back to write for buffer 1. Dis way, as long as you dey process each buffer before di time wey e go take fill one, you no go lose any data.
+
+Wen each buffer don capture, e fit write am go di flash memory. Flash memory need make you write am using defined addresses, specify where to write and how big to write, e dey similar to updating array of bytes for memory. Flash memory get granularity, meaning erase and write operations dey depend not only on fixed size, but e need align to dat size. For example, if di granularity na 4096 bytes and you request erase for address 4200, e fit erase all di data from address 4096 to 8192. Dis mean say wen you dey write di audio data go flash memory, e need dey for di correct chunk size.
+
+### Task - configure flash memory
+
+1. Create new Wio Terminal project using PlatformIO. Call di project `smart-timer`. Add code for di `setup` function to configure di serial port.
+
+1. Add di following library dependencies for di `platformio.ini` file to give access to di flash memory:
+
+    ```ini
+    lib_deps =
+        seeed-studio/Seeed Arduino FS @ 2.1.1
+        seeed-studio/Seeed Arduino SFUD @ 2.0.2
+    ```
+
+1. Open di `main.cpp` file and add di following include directive for di flash memory library for di top of di file:
+
+    ```cpp
+    #include <sfud.h>
+    #include <SPI.h>
+    ```
+
+    > 🎓 SFUD mean Serial Flash Universal Driver, na library wey dem design to work with all flash memory chips.
+
+1. For di `setup` function, add di following code to set up di flash storage library:
+
+    ```cpp
+    while (!(sfud_init() == SFUD_SUCCESS))
+        ;
+
+    sfud_qspi_fast_read_enable(sfud_get_device(SFUD_W25Q32_DEVICE_INDEX), 2);
+    ```
+
+    Dis code dey loop until di SFUD library don initialize, then e go turn on fast reads. Di flash memory wey dey inside fit dey access using Queued Serial Peripheral Interface (QSPI), na type of SPI controller wey dey allow continuous access through queue with small processor usage. Dis one dey make am fast to read and write to flash memory.
+
+1. Create new file for di `src` folder wey you go call `flash_writer.h`.
+
+1. Add di following for di top of dis file:
+
+    ```cpp
+    #pragma once
+
+    #include <Arduino.h>
+    #include <sfud.h>
+    ```
+
+    Dis one dey include some header files wey you need, including di header file for di SFUD library to interact with flash memory.
+
+1. Define class for dis new header file wey you go call `FlashWriter`:
+
+    ```cpp
+    class FlashWriter
+    {
+    public:
+    
+    private:
+    };
+    ```
+
+1. For di `private` section, add di following code:
+
+    ```cpp
+    byte *_sfudBuffer;
+    size_t _sfudBufferSize;
+    size_t _sfudBufferPos;
+    size_t _sfudBufferWritePos;
+
+    const sfud_flash *_flash;
+    ```
+
+    Dis one dey define some fields for di buffer wey you go use to store data before you write am go di flash memory. E get byte array, `_sfudBuffer`, to write data to, and wen e don full, di data go dey write go flash memory. Di `_sfudBufferPos` field dey store di current location to write to for dis buffer, and `_sfudBufferWritePos` dey store di location for flash memory to write to. `_flash` na pointer to di flash memory wey you go write to - some microcontrollers get multiple flash memory chips.
+
+1. Add di following method for di `public` section to initialize dis class:
+
+    ```cpp
+    void init()
+    {
+        _flash = sfud_get_device_table() + 0;
+        _sfudBufferSize = _flash->chip.erase_gran;
+        _sfudBuffer = new byte[_sfudBufferSize];
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+    ```
+
+    Dis one dey configure di flash memory for di Wio Terminal to write to, and e dey set up di buffers based on di grain size of di flash memory. Dis one dey for `init` method, e no dey for constructor because e need dey call after di flash memory don set up for di `setup` function.
+
+1. Add di following code for di `public` section:
+
+    ```cpp
+    void writeSfudBuffer(byte b)
+    {
+        _sfudBuffer[_sfudBufferPos++] = b;
+        if (_sfudBufferPos == _sfudBufferSize)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void writeSfudBuffer(byte *b, size_t len)
+    {
+        for (size_t i = 0; i < len; ++i)
+        {
+            writeSfudBuffer(b[i]);
+        }
+    }
+
+    void flushSfudBuffer()
+    {
+        if (_sfudBufferPos > 0)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+    ```
+
+    Dis code dey define methods to write bytes to di flash storage system. E dey work by writing to in-memory buffer wey dey di correct size for di flash memory, and wen e don full, e go write am go di flash memory, erase any existing data for dat location. E also get `flushSfudBuffer` to write incomplete buffer, because di data wey you dey capture no go dey exact multiples of di grain size, so di end part of di data need dey write.
+
+    > 💁 Di end part of di data go write extra data wey no dey needed, but e dey ok because na only di data wey you need go dey read.
+
+### Task - set up audio capture
+
+1. Create new file for di `src` folder wey you go call `config.h`.
+
+1. Add di following for di top of dis file:
+
+    ```cpp
+    #pragma once
+
+    #define RATE 16000
+    #define SAMPLE_LENGTH_SECONDS 4
+    #define SAMPLES RATE * SAMPLE_LENGTH_SECONDS
+    #define BUFFER_SIZE (SAMPLES * 2) + 44
+    #define ADC_BUF_LEN 1600
+    ```
+
+    Dis code dey set up some constants for di audio capture.
+
+    | Constant              | Value  | Description |
+    | --------------------- | -----: | - |
+    | RATE                  | 16000  | Di sample rate for di audio. 16,000 na 16KHz |
+    | SAMPLE_LENGTH_SECONDS | 4      | Di length of audio to capture. Dis one dey set to 4 seconds. To record longer audio, increase dis one. |
+    | SAMPLES               | 64000  | Di total number of audio samples wey dem go capture. Set am to di sample rate * di number of seconds |
+    | BUFFER_SIZE           | 128044 | Di size of di audio buffer to capture. Audio go dey capture as WAV file, wey be 44 bytes of header, then 128,000 bytes of audio data (each sample na 2 bytes) |
+    | ADC_BUF_LEN           | 1600   | Di size of di buffers to use to capture audio from di DMAC |
+
+    > 💁 If you feel say 4 seconds dey too short to request timer, you fit increase di `SAMPLE_LENGTH_SECONDS` value, and all di other values go recalculate.
+
+1. Create new file for di `src` folder wey you go call `mic.h`.
+
+1. Add di following for di top of dis file:
+
+    ```cpp
+    #pragma once
+
+    #include <Arduino.h>
+
+    #include "config.h"
+    #include "flash_writer.h"
+    ```
+
+    Dis one dey include some header files wey you need, including di `config.h` and `FlashWriter` header files.
+
+1. Add di following to define `Mic` class wey fit capture from di microphone:
+
+    ```cpp
+    class Mic
+    {
+    public:
+        Mic()
+        {
+            _isRecording = false;
+            _isRecordingReady = false;
+        }
+    
+        void startRecording()
+        {
+            _isRecording = true;
+            _isRecordingReady = false;
+        }
+    
+        bool isRecording()
+        {
+            return _isRecording;
+        }
+    
+        bool isRecordingReady()
+        {
+            return _isRecordingReady;
+        }
+    
+    private:
+        volatile bool _isRecording;
+        volatile bool _isRecordingReady;
+        FlashWriter _writer;
+    };
+    
+    Mic mic;
+    ```
+
+    Dis class get small fields to track if recording don start, and if recording don ready to use. Wen di DMAC don set up, e dey write to memory buffers continuously, so di `_isRecording` flag dey determine if dem go process am or ignore am. Di `_isRecordingReady` flag go dey set wen di required 4 seconds of audio don capture. Di `_writer` field dey save di audio data go flash memory.
+
+    Global variable go dey declare for one instance of di `Mic` class.
+
+1. Add di following code for di `private` section of di `Mic` class:
+
+    ```cpp
+    typedef struct
+    {
+        uint16_t btctrl;
+        uint16_t btcnt;
+        uint32_t srcaddr;
+        uint32_t dstaddr;
+        uint32_t descaddr;
+    } dmacdescriptor;
+
+    // Globals - DMA and ADC
+    volatile dmacdescriptor _wrb[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor_section[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor __attribute__((aligned(16)));
+
+    void configureDmaAdc()
+    {
+        // Configure DMA to sample from ADC at a regular interval (triggered by timer/counter)
+        DMAC->BASEADDR.reg = (uint32_t)_descriptor_section;                    // Specify the location of the descriptors
+        DMAC->WRBADDR.reg = (uint32_t)_wrb;                                    // Specify the location of the write back descriptors
+        DMAC->CTRL.reg = DMAC_CTRL_DMAENABLE | DMAC_CTRL_LVLEN(0xf);           // Enable the DMAC peripheral
+        DMAC->Channel[1].CHCTRLA.reg = DMAC_CHCTRLA_TRIGSRC(TC5_DMAC_ID_OVF) | // Set DMAC to trigger on TC5 timer overflow
+                                        DMAC_CHCTRLA_TRIGACT_BURST;             // DMAC burst transfer
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[1];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_0 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_0 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                                DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                                DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                                DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[0], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[0];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_1 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_1 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                                DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                                DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                                DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[1], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        // Configure NVIC
+        NVIC_SetPriority(DMAC_1_IRQn, 0); // Set the Nested Vector Interrupt Controller (NVIC) priority for DMAC1 to 0 (highest)
+        NVIC_EnableIRQ(DMAC_1_IRQn);      // Connect DMAC1 to Nested Vector Interrupt Controller (NVIC)
+
+        // Activate the suspend (SUSP) interrupt on DMAC channel 1
+        DMAC->Channel[1].CHINTENSET.reg = DMAC_CHINTENSET_SUSP;
+
+        // Configure ADC
+        ADC1->INPUTCTRL.bit.MUXPOS = ADC_INPUTCTRL_MUXPOS_AIN12_Val; // Set the analog input to ADC0/AIN2 (PB08 - A4 on Metro M4)
+        while (ADC1->SYNCBUSY.bit.INPUTCTRL)
+            ;                              // Wait for synchronization
+        ADC1->SAMPCTRL.bit.SAMPLEN = 0x00; // Set max Sampling Time Length to half divided ADC clock pulse (2.66us)
+        while (ADC1->SYNCBUSY.bit.SAMPCTRL)
+            ;                                         // Wait for synchronization
+        ADC1->CTRLA.reg = ADC_CTRLA_PRESCALER_DIV128; // Divide Clock ADC GCLK by 128 (48MHz/128 = 375kHz)
+        ADC1->CTRLB.reg = ADC_CTRLB_RESSEL_12BIT |    // Set ADC resolution to 12 bits
+                            ADC_CTRLB_FREERUN;          // Set ADC to free run mode
+        while (ADC1->SYNCBUSY.bit.CTRLB)
+            ;                       // Wait for synchronization
+        ADC1->CTRLA.bit.ENABLE = 1; // Enable the ADC
+        while (ADC1->SYNCBUSY.bit.ENABLE)
+            ;                       // Wait for synchronization
+        ADC1->SWTRIG.bit.START = 1; // Initiate a software trigger to start an ADC conversion
+        while (ADC1->SYNCBUSY.bit.SWTRIG)
+            ; // Wait for synchronization
+
+        // Enable DMA channel 1
+        DMAC->Channel[1].CHCTRLA.bit.ENABLE = 1;
+
+        // Configure Timer/Counter 5
+        GCLK->PCHCTRL[TC5_GCLK_ID].reg = GCLK_PCHCTRL_CHEN |     // Enable peripheral channel for TC5
+                                            GCLK_PCHCTRL_GEN_GCLK1; // Connect generic clock 0 at 48MHz
+
+        TC5->COUNT16.WAVE.reg = TC_WAVE_WAVEGEN_MFRQ; // Set TC5 to Match Frequency (MFRQ) mode
+        TC5->COUNT16.CC[0].reg = 3000 - 1;            // Set the trigger to 16 kHz: (4Mhz / 16000) - 1
+        while (TC5->COUNT16.SYNCBUSY.bit.CC0)
+            ; // Wait for synchronization
+
+        // Start Timer/Counter 5
+        TC5->COUNT16.CTRLA.bit.ENABLE = 1; // Enable the TC5 timer
+        while (TC5->COUNT16.SYNCBUSY.bit.ENABLE)
+            ; // Wait for synchronization
+    }
+
+    uint16_t _adc_buf_0[ADC_BUF_LEN];
+    uint16_t _adc_buf_1[ADC_BUF_LEN];
+    ```
+
+    Dis code dey define `configureDmaAdc` method wey dey configure di DMAC, connect am to di ADC and set am to dey populate two different alternating buffers, `_adc_buf_0` and `_adc_buf_1`.
+
+    > 💁 One downside of microcontroller development na di complexity of di code wey you need to interact with hardware, because your code dey run for very low level dey interact with hardware directly. Dis code dey more complex pass wetin you go write for single-board computer or desktop computer because e no get operating system to help. Some libraries dey wey fit simplify dis one, but e still get plenty complexity.
+
+1. Below dis, add di following code:
+
+    ```cpp
+    // WAV files have a header. This struct defines that header
+    struct wavFileHeader
+    {
+        char riff[4];         /* "RIFF"                                  */
+        long flength;         /* file length in bytes                    */
+        char wave[4];         /* "WAVE"                                  */
+        char fmt[4];          /* "fmt "                                  */
+        long chunk_size;      /* size of FMT chunk in bytes (usually 16) */
+        short format_tag;     /* 1=PCM, 257=Mu-Law, 258=A-Law, 259=ADPCM */
+        short num_chans;      /* 1=mono, 2=stereo                        */
+        long srate;           /* Sampling rate in samples per second     */
+        long bytes_per_sec;   /* bytes per second = srate*bytes_per_samp */
+        short bytes_per_samp; /* 2=16-bit mono, 4=16-bit stereo          */
+        short bits_per_samp;  /* Number of bits per sample               */
+        char data[4];         /* "data"                                  */
+        long dlength;         /* data length in bytes (filelength - 44)  */
+    };
+
+    void initBufferHeader()
+    {
+        wavFileHeader wavh;
+
+        strncpy(wavh.riff, "RIFF", 4);
+        strncpy(wavh.wave, "WAVE", 4);
+        strncpy(wavh.fmt, "fmt ", 4);
+        strncpy(wavh.data, "data", 4);
+
+        wavh.chunk_size = 16;
+        wavh.format_tag = 1; // PCM
+        wavh.num_chans = 1;  // mono
+        wavh.srate = RATE;
+        wavh.bytes_per_sec = (RATE * 1 * 16 * 1) / 8;
+        wavh.bytes_per_samp = 2;
+        wavh.bits_per_samp = 16;
+        wavh.dlength = RATE * 2 * 1 * 16 / 2;
+        wavh.flength = wavh.dlength + 44;
+
+        _writer.writeSfudBuffer((byte *)&wavh, 44);
+    }
+    ```
+
+    Dis code dey define di WAV header as struct wey dey take 44 bytes of memory. E dey write details about di audio file rate, size, and number of channels. Dis header go dey write go di flash memory.
+
+1. Below dis code, add di following to declare method wey dem go call wen di audio buffers don ready to process:
+
+    ```cpp
+    void audioCallback(uint16_t *buf, uint32_t buf_len)
+    {
+        static uint32_t idx = 44;
+
+        if (_isRecording)
+        {
+            for (uint32_t i = 0; i < buf_len; i++)
+            {
+                int16_t audio_value = ((int16_t)buf[i] - 2048) * 16;
+
+                _writer.writeSfudBuffer(audio_value & 0xFF);
+                _writer.writeSfudBuffer((audio_value >> 8) & 0xFF);
+            }
+
+            idx += buf_len;
+                
+            if (idx >= BUFFER_SIZE)
+            {
+                _writer.flushSfudBuffer();
+                idx = 44;
+                _isRecording = false;
+                _isRecordingReady = true;
+            }
+        }
+    }
+    ```
+
+    Di audio buffers na arrays of 16-bit integers wey dey contain di audio from di ADC. Di ADC dey return 12-bit unsigned values (0-1023), so dem need convert am to 16-bit signed values, and then convert am to 2 bytes to store as raw binary data.
+
+    Dis bytes go dey write go di flash memory buffers. Di write go start for index 44 - dis na di offset from di 44 bytes wey dem don write as di WAV file header. Wen dem don capture all di bytes wey dem need for di required audio length, di remaining data go dey write go di flash memory.
+
+1. For di `public` section of di `Mic` class, add di following code:
+
+    ```cpp
+    void dmaHandler()
+    {
+        static uint8_t count = 0;
+
+        if (DMAC->Channel[1].CHINTFLAG.bit.SUSP)
+        {
+            DMAC->Channel[1].CHCTRLB.reg = DMAC_CHCTRLB_CMD_RESUME;
+            DMAC->Channel[1].CHINTFLAG.bit.SUSP = 1;
+
+            if (count)
+            {
+                audioCallback(_adc_buf_0, ADC_BUF_LEN);
+            }
+            else
+            {
+                audioCallback(_adc_buf_1, ADC_BUF_LEN);
+            }
+
+            count = (count + 1) % 2;
+        }
+    }
+    ```
+
+    Dis code go dey call by di DMAC to tell your code to process di buffers. E dey check say data dey to process, and e go call di `audioCallback` method with di correct buffer.
+
+1. Outside di class, after di `Mic mic;` declaration, add di following code:
+
+    ```cpp
+    void DMAC_1_Handler()
+    {
+        mic.dmaHandler();
+    }
+    ```
+
+    Di `DMAC_1_Handler` go dey call by di DMAC wen di buffers don ready to process. Dis function dey find by name, so e just need dey exist to dey call.
+
+1. Add di following two methods for di `public` section of di `Mic` class:
+
+    ```cpp
+    void init()
+    {
+        analogReference(AR_INTERNAL2V23);
+
+        _writer.init();
+
+        initBufferHeader();
+        configureDmaAdc();
+    }
+
+    void reset()
+    {
+        _isRecordingReady = false;
+        _isRecording = false;
+
+        _writer.reset();
+
+        initBufferHeader();
+    }
+    ```
+
+    Di `init` method get code to initialize di `Mic` class. Dis method dey set di correct voltage for di Mic pin, set up di flash memory writer, write di WAV file header, and configure di DMAC. Di `reset` method dey reset di flash memory and re-write di header after di audio don capture and use.
+
+### Task - capture audio
+
+1. For di `main.cpp` file, add include directive for di `mic.h` header file:
+
+    ```cpp
+    #include "mic.h"
+    ```
+
+1. For di `setup` function, initialize di C button. Audio capture go start wen dis button dey press, and e go continue for 4 seconds:
+
+    ```cpp
+    pinMode(WIO_KEY_C, INPUT_PULLUP);
+    ```
+
+1. Below dis, initialize di microphone, then print for di console say audio don ready to capture:
+
+    ```cpp
+    mic.init();
+
+    Serial.println("Ready.");
+    ```
+
+1. Above di `loop` function, define function to process di captured audio. For now e no dey do anything, but later for dis lesson e go send di speech to convert am to text:
+
+    ```cpp
+    void processAudio()
+    {
+    
+    }
+    ```
+
+1. Add di following for di `loop` function:
+
+    ```cpp
+    void loop()
+    {
+        if (digitalRead(WIO_KEY_C) == LOW && !mic.isRecording())
+        {
+            Serial.println("Starting recording...");
+            mic.startRecording();
+        }
+    
+        if (!mic.isRecording() && mic.isRecordingReady())
+        {
+            Serial.println("Finished recording");
+    
+            processAudio();
+    
+            mic.reset();
+        }
+    }
+    ```
+
+    Dis code dey check di C button, and if dem press am and recording never start, di `_isRecording` field of di `Mic` class go dey set to true. Dis one go make di `audioCallback` method of di `Mic` class dey store audio until 4 seconds don capture. Wen dem don capture 4 seconds of audio, di `_isRecording` field go dey set to false, and di `_isRecordingReady` field go dey set to true. Dis one go dey check for di `loop` function, and wen e true di `processAudio` function go dey call, then di mic class go reset.
+
+1. Build dis code, upload am go your Wio Terminal and test am through di serial monitor. Press di C button (di one wey dey left-hand side, close to di power switch), and talk. Dem go capture 4 seconds of audio.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Ready.
+    Starting recording...
+    Finished recording
+    ```
+
+> 💁 You fit find dis code for di [code-record/wio-terminal](../../../../../6-consumer/lessons/1-speech-recognition/code-record/wio-terminal) folder.
+
+😀 Your audio recording program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md
new file mode 100644
index 000000000..d98999d43
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md
@@ -0,0 +1,91 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "93d352de36526b8990e41dd538100324",
+  "translation_date": "2025-11-18T19:25:57+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md",
+  "language_code": "pcm"
+}
+-->
+# Configure your microphone and speakers - Wio Terminal
+
+For dis part of di lesson, you go add speaker to your Wio Terminal. Di Wio Terminal don already get microphone wey dem build inside, and you fit use am to capture talk.
+
+## Hardware
+
+Di Wio Terminal don already get mic inside, and you fit use am to capture sound for talk recognition.
+
+![Di mic wey dey Wio Terminal](../../../../../translated_images/wio-mic.3f8c843dbe8ad917424037a93e3d25c62634add00a04dd8e091317b5a7a90088.pcm.png)
+
+To add speaker, you fit use di [ReSpeaker 2-Mics Pi Hat](https://www.seeedstudio.com/ReSpeaker-2-Mics-Pi-HAT.html). Dis na external board wey get 2 MEMS microphones, plus speaker connector and headphone socket.
+
+![Di ReSpeaker 2-Mics Pi Hat](../../../../../translated_images/respeaker.f5d19d1c6b14ab1676d24ac2764e64fac5339046ae07be8b45ce07633d61b79b.pcm.png)
+
+You go need add either headphone, speaker wey get 3.5mm jack, or speaker wey get JST connection like di [Mono Enclosed Speaker - 2W 6 Ohm](https://www.seeedstudio.com/Mono-Enclosed-Speaker-2W-6-Ohm-p-2832.html).
+
+To connect di ReSpeaker 2-Mics Pi Hat, you go need 40 pin-to-pin (dem dey call am male-to-male too) jumper cables.
+
+> 💁 If you sabi solder, you fit use di [40 Pin Raspberry Pi Hat Adapter Board For Wio Terminal](https://www.seeedstudio.com/40-Pin-Raspberry-Pi-Hat-Adapter-Board-For-Wio-Terminal-p-4730.html) to connect di ReSpeaker.
+
+You go also need SD card to download and play sound. Di Wio Terminal dey support SD Cards wey no pass 16GB, and dem need to dey formatted as FAT32 or exFAT.
+
+### Task - connect di ReSpeaker Pi Hat
+
+1. When di Wio Terminal dey off, connect di ReSpeaker 2-Mics Pi Hat to di Wio Terminal using di jumper cables and di GPIO sockets wey dey back of di Wio Terminal:
+
+    Di pins go need connect like dis:
+
+    ![Pin diagram](../../../../../translated_images/wio-respeaker-wiring-0.767f80aa6508103880d256cdf99ee7219e190db257c7261e4aec219759dc67b9.pcm.png)
+
+1. Arrange di ReSpeaker and Wio Terminal make di GPIO sockets dey face up, and dey left-hand side.
+
+1. Start from di socket wey dey top left of di GPIO socket for di ReSpeaker. Connect pin-to-pin jumper cable from di top left socket of di ReSpeaker to di top left socket of di Wio Terminal.
+
+1. Do am like dat go reach di bottom for di GPIO sockets wey dey left-hand side. Make sure say di pins dey enter well.
+
+    ![ReSpeaker wey di left-hand pins don connect to di left-hand pins of di Wio Terminal](../../../../../translated_images/wio-respeaker-wiring-1.8d894727f2ba24004824ee5e06b83b6d10952550003a3efb603182121521b0ef.pcm.png)
+
+    ![ReSpeaker wey di left-hand pins don connect to di left-hand pins of di Wio Terminal](../../../../../translated_images/wio-respeaker-wiring-2.329e1cbd306e754f8ffe56f9294794f4a8fa123860d76067a79e9ea385d1bf56.pcm.png)
+
+    > 💁 If your jumper cables dey together as ribbon, leave dem like dat - e go make am easy to confirm say you don connect all di cables well.
+
+1. Do di same process for di right-hand GPIO sockets for di ReSpeaker and Wio Terminal. Di cables go need pass around di cables wey don dey already.
+
+    ![ReSpeaker wey di right-hand pins don connect to di right-hand pins of di Wio Terminal](../../../../../translated_images/wio-respeaker-wiring-3.75b0be447e2fa9307a6a954f9ae8a71b77e39ada6a5ef1a059d341dc850fd90c.pcm.png)
+
+    ![ReSpeaker wey di right-hand pins don connect to di right-hand pins of di Wio Terminal](../../../../../translated_images/wio-respeaker-wiring-4.aa9cd434d8779437de720cba2719d83992413caed1b620b6148f6c8924889afb.pcm.png)
+
+    > 💁 If your jumper cables dey as ribbon, divide dem into two ribbons. Pass one each side of di cables wey don dey already.
+
+    > 💁 You fit use sticky tape to hold di pins together make dem no commot as you dey connect dem.
+    >
+    > ![Di pins wey dem don hold with tape](../../../../../translated_images/wio-respeaker-wiring-5.af117c20acf622f3cd656ccd8f4053f8845d6aaa3af164d24cb7dbd54a4bb470.pcm.png)
+
+1. You go need add speaker.
+
+    * If you dey use speaker wey get JST cable, connect am to di JST port for di ReSpeaker.
+
+      ![Speaker wey dem connect to di ReSpeaker with JST cable](../../../../../translated_images/respeaker-jst-speaker.a441d177809df9458041a2012dd336dbb22c00a5c9642647109d2940a50d6fcc.pcm.png)
+
+    * If you dey use speaker wey get 3.5mm jack, or headphone, put am inside di 3.5mm jack socket.
+
+      ![Speaker wey dem connect to di ReSpeaker through di 3.5mm jack socket](../../../../../translated_images/respeaker-35mm-speaker.ad79ef4f128c7751f0abf854869b6b779c90c12ae3e48909944a7e48aeee3c7e.pcm.png)
+
+### Task - set up di SD card
+
+1. Connect di SD Card to your computer, use external reader if your computer no get SD Card slot.
+
+1. Format di SD Card with di correct tool for your computer, make sure say you use FAT32 or exFAT file system.
+
+1. Put di SD card inside di SD Card slot wey dey left-hand side of di Wio Terminal, just under di power button. Make sure say di card enter well and click - you fit need thin tool or another SD Card to help push am enter.
+
+    ![Di SD card wey dem dey put inside di SD card slot under di power switch](../../../../../translated_images/wio-sd-card.acdcbe322fa4ee7f8f9c8cc015b3263964bb26ab5c7e25b41747988cc5280d64.pcm.png)
+
+    > 💁 To commot di SD Card, you go need push am small and e go commot. You go need thin tool like flat-head screwdriver or another SD Card to do dis.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make sure say e correct, abeg no forget say automatic translation fit get mistake or no dey accurate well. Di original docu for di language wey dem write am first na di main correct one. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md b/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md
new file mode 100644
index 000000000..bf61d29e7
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md
@@ -0,0 +1,546 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "3f92edf2975175577174910caca4a389",
+  "translation_date": "2025-11-18T19:24:48+00:00",
+  "source_file": "6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md",
+  "language_code": "pcm"
+}
+-->
+# Tok to Text - Wio Terminal
+
+For dis part of di lesson, you go write code wey go change di tok wey dey di audio wey you capture to text using di speech service.
+
+## Send di audio go di speech service
+
+You fit send di audio go di speech service using di REST API. To use di speech service, first you go need request access token, den use dat token take access di REST API. Dis access tokens dey expire after 10 minutes, so your code suppose dey request dem regularly to make sure say dem dey always up to date.
+
+### Task - get access token
+
+1. Open di `smart-timer` project if e never open.
+
+1. Add di library dependencies wey dey below to di `platformio.ini` file to access WiFi and handle JSON:
+
+    ```ini
+    seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
+    seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
+    seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
+    seeed-studio/Seeed Arduino RTC @ 2.0.0
+    bblanchon/ArduinoJson @ 6.17.3
+    ```
+
+1. Add di code wey dey below to di `config.h` header file:
+
+    ```cpp
+    const char *SSID = "<SSID>";
+    const char *PASSWORD = "<PASSWORD>";
+    
+    const char *SPEECH_API_KEY = "<API_KEY>";
+    const char *SPEECH_LOCATION = "<LOCATION>";
+    const char *LANGUAGE = "<LANGUAGE>";
+
+    const char *TOKEN_URL = "https://%s.api.cognitive.microsoft.com/sts/v1.0/issuetoken";
+    ```
+
+    Change `<SSID>` and `<PASSWORD>` to di correct values for your WiFi.
+
+    Change `<API_KEY>` to di API key for your speech service resource. Change `<LOCATION>` to di location wey you use when you create di speech service resource.
+
+    Change `<LANGUAGE>` to di locale name for di language wey you go dey tok, for example `en-GB` for English, or `zn-HK` for Cantonese. You fit find di list of di supported languages and dia locale names for di [Language and voice support documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+    Di `TOKEN_URL` constant na di URL of di token issuer without di location. Later, dem go combine am with di location to get di full URL.
+
+1. Just like how you take connect to Custom Vision, you go need use HTTPS connection to connect to di token issuing service. For di end of `config.h`, add di code wey dey below:
+
+    ```cpp
+    const char *TOKEN_CERTIFICATE =
+        "-----BEGIN CERTIFICATE-----\r\n"
+        "MIIF8zCCBNugAwIBAgIQAueRcfuAIek/4tmDg0xQwDANBgkqhkiG9w0BAQwFADBh\r\n"
+        "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+        "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+        "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+        "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+        "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwNjCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+        "ggIPADCCAgoCggIBALVGARl56bx3KBUSGuPc4H5uoNFkFH4e7pvTCxRi4j/+z+Xb\r\n"
+        "wjEz+5CipDOqjx9/jWjskL5dk7PaQkzItidsAAnDCW1leZBOIi68Lff1bjTeZgMY\r\n"
+        "iwdRd3Y39b/lcGpiuP2d23W95YHkMMT8IlWosYIX0f4kYb62rphyfnAjYb/4Od99\r\n"
+        "ThnhlAxGtfvSbXcBVIKCYfZgqRvV+5lReUnd1aNjRYVzPOoifgSx2fRyy1+pO1Uz\r\n"
+        "aMMNnIOE71bVYW0A1hr19w7kOb0KkJXoALTDDj1ukUEDqQuBfBxReL5mXiu1O7WG\r\n"
+        "0vltg0VZ/SZzctBsdBlx1BkmWYBW261KZgBivrql5ELTKKd8qgtHcLQA5fl6JB0Q\r\n"
+        "gs5XDaWehN86Gps5JW8ArjGtjcWAIP+X8CQaWfaCnuRm6Bk/03PQWhgdi84qwA0s\r\n"
+        "sRfFJwHUPTNSnE8EiGVk2frt0u8PG1pwSQsFuNJfcYIHEv1vOzP7uEOuDydsmCjh\r\n"
+        "lxuoK2n5/2aVR3BMTu+p4+gl8alXoBycyLmj3J/PUgqD8SL5fTCUegGsdia/Sa60\r\n"
+        "N2oV7vQ17wjMN+LXa2rjj/b4ZlZgXVojDmAjDwIRdDUujQu0RVsJqFLMzSIHpp2C\r\n"
+        "Zp7mIoLrySay2YYBu7SiNwL95X6He2kS8eefBBHjzwW/9FxGqry57i71c2cDAgMB\r\n"
+        "AAGjggGtMIIBqTAdBgNVHQ4EFgQU1cFnOsKjnfR3UltZEjgp5lVou6UwHwYDVR0j\r\n"
+        "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+        "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+        "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+        "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+        "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+        "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+        "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+        "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+        "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQB2oWc93fB8esci/8esixj++N22meiGDjgF\r\n"
+        "+rA2LUK5IOQOgcUSTGKSqF9lYfAxPjrqPjDCUPHCURv+26ad5P/BYtXtbmtxJWu+\r\n"
+        "cS5BhMDPPeG3oPZwXRHBJFAkY4O4AF7RIAAUW6EzDflUoDHKv83zOiPfYGcpHc9s\r\n"
+        "kxAInCedk7QSgXvMARjjOqdakor21DTmNIUotxo8kHv5hwRlGhBJwps6fEVi1Bt0\r\n"
+        "trpM/3wYxlr473WSPUFZPgP1j519kLpWOJ8z09wxay+Br29irPcBYv0GMXlHqThy\r\n"
+        "8y4m/HyTQeI2IMvMrQnwqPpY+rLIXyviI2vLoI+4xKE4Rn38ZZ8m\r\n"
+        "-----END CERTIFICATE-----\r\n";
+    ```
+
+    Na di same certificate wey you use when you dey connect to Custom Vision.
+
+1. Add include for di WiFi header file and di config header file to di top of di `main.cpp` file:
+
+    ```cpp
+    #include <rpcWiFi.h>
+
+    #include "config.h"
+    ```
+
+1. Add code to connect to WiFi for `main.cpp` above di `setup` function:
+
+    ```cpp
+    void connectWiFi()
+    {
+        while (WiFi.status() != WL_CONNECTED)
+        {
+            Serial.println("Connecting to WiFi..");
+            WiFi.begin(SSID, PASSWORD);
+            delay(500);
+        }
+    
+        Serial.println("Connected!");
+    }
+    ```
+
+1. Call dis function from di `setup` function after di serial connection don establish:
+
+    ```cpp
+    connectWiFi();
+    ```
+
+1. Create new header file for di `src` folder wey you go call `speech_to_text.h`. For dis header file, add di code wey dey below:
+
+    ```cpp
+    #pragma once
+    
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <WiFiClientSecure.h>
+    
+    #include "config.h"
+    #include "mic.h"
+    
+    class SpeechToText
+    {
+    public:
+
+    private:
+
+    };
+
+    SpeechToText speechToText;
+    ```
+
+    Dis one include some necessary header files for HTTP connection, configuration and di `mic.h` header file, and e define one class wey dem call `SpeechToText`, before e declare one instance of dat class wey you fit use later.
+
+1. Add di 2 fields wey dey below to di `private` section of dis class:
+
+    ```cpp
+    WiFiClientSecure _token_client;
+    String _access_token;
+    ```
+
+    Di `_token_client` na WiFi Client wey dey use HTTPS and e go dey used to get di access token. Dis token go later dey store for `_access_token`.
+
+1. Add di method wey dey below to di `private` section:
+
+    ```cpp
+    String getAccessToken()
+    {
+        char url[128];
+        sprintf(url, TOKEN_URL, SPEECH_LOCATION);
+    
+        HTTPClient httpClient;
+        httpClient.begin(_token_client, url);
+    
+        httpClient.addHeader("Ocp-Apim-Subscription-Key", SPEECH_API_KEY);
+        int httpResultCode = httpClient.POST("{}");
+    
+        if (httpResultCode != 200)
+        {
+            Serial.println("Error getting access token, trying again...");
+            delay(10000);
+            return getAccessToken();
+        }
+    
+        Serial.println("Got access token.");
+        String result = httpClient.getString();
+    
+        httpClient.end();
+    
+        return result;
+    }
+    ```
+
+    Dis code dey build di URL for di token issuer API using di location of di speech resource. E go then create `HTTPClient` to make di web request, set am up to use di WiFi client wey dem configure with di token endpoints certificate. E go set di API key as header for di call. E go then make POST request to get di certificate, retry if e get any error. Finally, di access token go return.
+
+1. For di `public` section, add method to get di access token. Dis one go dey needed for later lessons to change text to speech.
+
+    ```cpp
+    String AccessToken()
+    {
+        return _access_token;
+    }
+    ```
+
+1. For di `public` section, add `init` method wey go set up di token client:
+
+    ```cpp
+    void init()
+    {
+        _token_client.setCACert(TOKEN_CERTIFICATE);
+        _access_token = getAccessToken();
+    }
+    ```
+
+    Dis one go set di certificate for di WiFi client, then e go get di access token.
+
+1. For `main.cpp`, add dis new header file to di include directives:
+
+    ```cpp
+    #include "speech_to_text.h"
+    ```
+
+1. Initialize di `SpeechToText` class for di end of di `setup` function, after di `mic.init` call but before `Ready` go show for di serial monitor:
+
+    ```cpp
+    speechToText.init();
+    ```
+
+### Task - read audio from flash memory
+
+1. For one earlier part of dis lesson, di audio don record to di flash memory. Dis audio go need to dey send to di Speech Services REST API, so e need to dey read from di flash memory. E no fit load am into in-memory buffer because e go too big. Di `HTTPClient` class wey dey make REST calls fit stream data using Arduino Stream - na class wey fit load data in small chunks, dey send di chunks one by one as part of di request. Anytime you call `read` for stream, e go return di next block of data. Arduino stream fit dey created wey fit read from di flash memory. Create new file wey you go call `flash_stream.h` for di `src` folder, and add di code wey dey below to am:
+
+    ```cpp
+    #pragma once
+    
+    #include <Arduino.h>
+    #include <HTTPClient.h>
+    #include <sfud.h>
+
+    #include "config.h"
+    
+    class FlashStream : public Stream
+    {
+    public:
+        virtual size_t write(uint8_t val)
+        {    
+        }
+    
+        virtual int available()
+        {
+        }
+    
+        virtual int read()
+        {
+        }
+    
+        virtual int peek()
+        {
+        }
+    private:
+    
+    };
+    ```
+
+    Dis one dey declare di `FlashStream` class, wey dey derive from di Arduino `Stream` class. Dis na abstract class - di classes wey dey derive from am go need implement some methods before di class fit dey instantiated, and dem don define dis methods for dis class.
+
+    ✅ Read more about Arduino Streams for di [Arduino Stream documentation](https://www.arduino.cc/reference/en/language/functions/communication/stream/)
+
+1. Add di fields wey dey below to di `private` section:
+
+    ```cpp
+    size_t _pos;
+    size_t _flash_address;
+    const sfud_flash *_flash;
+
+    byte _buffer[HTTP_TCP_BUFFER_SIZE];
+    ```
+
+    Dis one dey define temporary buffer to store data wey dem read from di flash memory, along with fields to store di current position when dem dey read from di buffer, di current address to read from di flash memory, and di flash memory device.
+
+1. For di `private` section, add di method wey dey below:
+
+    ```cpp
+    void populateBuffer()
+    {
+        sfud_read(_flash, _flash_address, HTTP_TCP_BUFFER_SIZE, _buffer);
+        _flash_address += HTTP_TCP_BUFFER_SIZE;
+        _pos = 0;
+    }
+    ```
+
+    Dis code dey read from di flash memory for di current address and e dey store di data for buffer. E go then increase di address, so di next call go read di next block of memory. Di buffer size dey based on di largest chunk wey di `HTTPClient` go send to di REST API at one time.
+
+    > 💁 To erase flash memory, you go need use di grain size, but to read no need.
+
+1. For di `public` section of dis class, add constructor:
+
+    ```cpp
+    FlashStream()
+    {
+        _pos = 0;
+        _flash_address = 0;
+        _flash = sfud_get_device_table() + 0;
+        
+        populateBuffer();
+    }
+    ```
+
+    Dis constructor dey set up all di fields to start to dey read from di start of di flash memory block, and e dey load di first chunk of data into di buffer.
+
+1. Implement di `write` method. Dis stream go only dey read data, so dis one no go do anything and e go return 0:
+
+    ```cpp
+    virtual size_t write(uint8_t val)
+    {
+        return 0;
+    }
+    ```
+
+1. Implement di `peek` method. Dis one dey return di data for di current position without moving di stream go front. If you call `peek` many times, e go always return di same data as long as dem never read data from di stream.
+
+    ```cpp
+    virtual int peek()
+    {
+        return _buffer[_pos];
+    }
+    ```
+
+1. Implement di `available` function. Dis one dey return how many bytes fit dey read from di stream, or -1 if di stream don complete. For dis class, di maximum wey fit dey available no go pass di HTTPClient chunk size. When dis stream dey used for di HTTP client, e dey call dis function to see how much data dey available, then e go request dat amount of data to send to di REST API. We no want make each chunk pass di HTTP client chunk size, so if more than dat dey available, na di chunk size e go return. If e small, na wetin dey available e go return. Once all di data don stream finish, e go return -1.
+
+    ```cpp
+    virtual int available()
+    {
+        int remaining = BUFFER_SIZE - ((_flash_address - HTTP_TCP_BUFFER_SIZE) + _pos);
+        int bytes_available = min(HTTP_TCP_BUFFER_SIZE, remaining);
+
+        if (bytes_available == 0)
+        {
+            bytes_available = -1;
+        }
+
+        return bytes_available;
+    }
+    ```
+
+1. Implement di `read` method to return di next byte from di buffer, dey increase di position. If di position pass di size of di buffer, e go populate di buffer with di next block from di flash memory and reset di position.
+
+    ```cpp
+    virtual int read()
+    {
+        int retVal = _buffer[_pos++];
+
+        if (_pos == HTTP_TCP_BUFFER_SIZE)
+        {
+            populateBuffer();
+        }
+
+        return retVal;
+    }
+    ```
+
+1. For di `speech_to_text.h` header file, add include directive for dis new header file:
+
+    ```cpp
+    #include "flash_stream.h"
+    ```
+
+### Task - change di tok to text
+
+1. Di tok fit change to text by sending di audio go di Speech Service via REST API. Dis REST API get different certificate from di token issuer, so add di code wey dey below to di `config.h` header file to define dis certificate:
+
+    ```cpp
+    const char *SPEECH_CERTIFICATE =
+        "-----BEGIN CERTIFICATE-----\r\n"
+        "MIIF8zCCBNugAwIBAgIQCq+mxcpjxFFB6jvh98dTFzANBgkqhkiG9w0BAQwFADBh\r\n"
+        "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+        "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+        "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+        "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+        "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwMTCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+        "ggIPADCCAgoCggIBAMedcDrkXufP7pxVm1FHLDNA9IjwHaMoaY8arqqZ4Gff4xyr\r\n"
+        "RygnavXL7g12MPAx8Q6Dd9hfBzrfWxkF0Br2wIvlvkzW01naNVSkHp+OS3hL3W6n\r\n"
+        "l/jYvZnVeJXjtsKYcXIf/6WtspcF5awlQ9LZJcjwaH7KoZuK+THpXCMtzD8XNVdm\r\n"
+        "GW/JI0C/7U/E7evXn9XDio8SYkGSM63aLO5BtLCv092+1d4GGBSQYolRq+7Pd1kR\r\n"
+        "EkWBPm0ywZ2Vb8GIS5DLrjelEkBnKCyy3B0yQud9dpVsiUeE7F5sY8Me96WVxQcb\r\n"
+        "OyYdEY/j/9UpDlOG+vA+YgOvBhkKEjiqygVpP8EZoMMijephzg43b5Qi9r5UrvYo\r\n"
+        "o19oR/8pf4HJNDPF0/FJwFVMW8PmCBLGstin3NE1+NeWTkGt0TzpHjgKyfaDP2tO\r\n"
+        "4bCk1G7pP2kDFT7SYfc8xbgCkFQ2UCEXsaH/f5YmpLn4YPiNFCeeIida7xnfTvc4\r\n"
+        "7IxyVccHHq1FzGygOqemrxEETKh8hvDR6eBdrBwmCHVgZrnAqnn93JtGyPLi6+cj\r\n"
+        "WGVGtMZHwzVvX1HvSFG771sskcEjJxiQNQDQRWHEh3NxvNb7kFlAXnVdRkkvhjpR\r\n"
+        "GchFhTAzqmwltdWhWDEyCMKC2x/mSZvZtlZGY+g37Y72qHzidwtyW7rBetZJAgMB\r\n"
+        "AAGjggGtMIIBqTAdBgNVHQ4EFgQUDyBd16FXlduSzyvQx8J3BM5ygHYwHwYDVR0j\r\n"
+        "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+        "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+        "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+        "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+        "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+        "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+        "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+        "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+        "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQAlFvNh7QgXVLAZSsNR2XRmIn9iS8OHFCBA\r\n"
+        "WxKJoi8YYQafpMTkMqeuzoL3HWb1pYEipsDkhiMnrpfeYZEA7Lz7yqEEtfgHcEBs\r\n"
+        "K9KcStQGGZRfmWU07hPXHnFz+5gTXqzCE2PBMlRgVUYJiA25mJPXfB00gDvGhtYa\r\n"
+        "+mENwM9Bq1B9YYLyLjRtUz8cyGsdyTIG/bBM/Q9jcV8JGqMU/UjAdh1pFyTnnHEl\r\n"
+        "Y59Npi7F87ZqYYJEHJM2LGD+le8VsHjgeWX2CJQko7klXvcizuZvUEDTjHaQcs2J\r\n"
+        "+kPgfyMIOY1DMJ21NxOJ2xPRC/wAh/hzSBRVtoAnyuxtkZ4VjIOh\r\n"
+        "-----END CERTIFICATE-----\r\n";
+    ```
+
+1. Add constant to dis file for di speech URL without di location. Later, dem go combine am with di location and language to get di full URL.
+
+    ```cpp
+    const char *SPEECH_URL = "https://%s.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1?language=%s";
+    ```
+
+1. For di `speech_to_text.h` header file, for di `private` section of di `SpeechToText` class, define field for WiFi Client wey dey use di speech certificate:
+
+    ```cpp
+    WiFiClientSecure _speech_client;
+    ```
+
+1. For di `init` method, set di certificate for dis WiFi Client:
+
+    ```cpp
+    _speech_client.setCACert(SPEECH_CERTIFICATE);
+    ```
+
+1. Add di code wey dey below to di `public` section of di `SpeechToText` class to define method to change tok to text:
+
+    ```cpp
+    String convertSpeechToText()
+    {
+        
+    }
+    ```
+
+1. Add di code wey dey below to dis method to create HTTP client wey dey use di WiFi client wey dem configure with di speech certificate, and dey use di speech URL wey dem set with di location and language:
+
+    ```cpp
+    char url[128];
+    sprintf(url, SPEECH_URL, SPEECH_LOCATION, LANGUAGE);
+
+    HTTPClient httpClient;
+    httpClient.begin(_speech_client, url);
+    ```
+
+1. Some headers go need dey set for di connection:
+
+    ```cpp
+    httpClient.addHeader("Authorization", String("Bearer ") + _access_token);
+    httpClient.addHeader("Content-Type", String("audio/wav; codecs=audio/pcm; samplerate=") + String(RATE));
+    httpClient.addHeader("Accept", "application/json;text/xml");
+    ```
+
+    Dis one dey set headers for di authorization using di access token, di audio format using di sample rate, and e dey set say di client dey expect di result as JSON.
+
+1. After dis one, add di code wey dey below to make di REST API call:
+
+    ```cpp
+    Serial.println("Sending speech...");
+
+    FlashStream stream;
+    int httpResponseCode = httpClient.sendRequest("POST", &stream, BUFFER_SIZE);
+
+    Serial.println("Speech sent!");
+    ```
+
+    Dis one dey create `FlashStream` and e dey use am to stream data go di REST API.
+
+1. Under dis one, add di code wey dey below:
+
+    ```cpp
+    String text = "";
+
+    if (httpResponseCode == 200)
+    {
+        String result = httpClient.getString();
+        Serial.println(result);
+
+        DynamicJsonDocument doc(1024);
+        deserializeJson(doc, result.c_str());
+
+        JsonObject obj = doc.as<JsonObject>();
+        text = obj["DisplayText"].as<String>();
+    }
+    else if (httpResponseCode == 401)
+    {
+        Serial.println("Access token expired, trying again with a new token");
+        _access_token = getAccessToken();
+        return convertSpeechToText();
+    }
+    else
+    {
+        Serial.print("Failed to convert text to speech - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+    Dis code dey check di response code.
+
+    If e be 200, di code for success, di result go dey retrieve, decode from JSON, and di `DisplayText` property go dey set into di `text` variable. Na dis property dem dey use return di text version of di tok.
+
+    If di response code na 401, di access token don expire (dis tokens dey last only 10 minutes). New access token go dey request, and dem go make di call again.
+
+    If na any other thing, error go dey send to di serial monitor, and di `text` go dey blank.
+
+1. Add di code wey dey below to di end of dis method to close di HTTP client and return di text:
+
+    ```cpp
+    httpClient.end();
+
+    return text;
+    ```
+
+1. For `main.cpp` call dis new `convertSpeechToText` method for di `processAudio` function, then log di tok to di serial monitor:
+
+    ```cpp
+    String text = speechToText.convertSpeechToText();
+    Serial.println(text);
+    ```
+
+1. Build dis code, upload am to your Wio Terminal and test am through di serial monitor. Once you see `Ready` for di serial monitor, press di C button (di one wey dey for di left-hand side, close to di power switch), and tok. 4 seconds of audio go dey capture, then e go change to text.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    Ready.
+    Starting recording...
+    Finished recording
+    Sending speech...
+    Speech sent!
+    {"RecognitionStatus":"Success","DisplayText":"Set a 2 minute and 27 second timer.","Offset":4700000,"Duration":35300000}
+    Set a 2 minute and 27 second timer.
+    ```
+
+> 💁 You fit find dis code for di [code-speech-to-text/wio-terminal](../../../../../6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal) folder.
+
+😀 Your tok to text program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say transle-shon wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/2-language-understanding/README.md b/translations/pcm/6-consumer/lessons/2-language-understanding/README.md
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@@ -0,0 +1,573 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "6f4ba69d77f16c4a5110623a96a215c3",
+  "translation_date": "2025-11-18T19:17:14+00:00",
+  "source_file": "6-consumer/lessons/2-language-understanding/README.md",
+  "language_code": "pcm"
+}
+-->
+# Understand Language
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-22.6148ea28500d9e00c396aaa2649935fb6641362c8f03d8e5e90a676977ab01dd.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/43)
+
+## Introduction
+
+For di last lesson, you don turn speech to text. To fit use am program smart timer, your code go need sabi wetin dem talk. You fit assume say di person go talk one fixed sentence like "Set a 3 minute timer", den you go fit parse di sentence to know how long di timer go be. But dis no too friendly for user. If person talk "Set a timer for 3 minutes", you or me go sabi wetin dem mean, but your code no go sabi because e dey expect fixed sentence.
+
+Na here language understanding enter, wey go use AI models to interpret text and return di details wey dem need. For example, e go fit understand both "Set a 3 minute timer" and "Set a timer for 3 minutes" say dem mean di same thing.
+
+For dis lesson, you go learn about language understanding models, how to create dem, train dem, and use dem for your code.
+
+For dis lesson we go cover:
+
+* [Language understanding](../../../../../6-consumer/lessons/2-language-understanding)
+* [Create a language understanding model](../../../../../6-consumer/lessons/2-language-understanding)
+* [Intents and entities](../../../../../6-consumer/lessons/2-language-understanding)
+* [Use the language understanding model](../../../../../6-consumer/lessons/2-language-understanding)
+
+## Language understanding
+
+Humans don dey use language to communicate for hundreds of thousands of years. We dey use words, sounds, or actions to talk and understand wetin dem mean, both di meaning of di words, sounds or actions, and di context. We sabi sincerity and sarcasm, so di same words fit mean different things depending on di tone of voice.
+
+✅ Think about some of di conversations wey you don get recently. How many of di talk go hard computer to understand because e need context?
+
+Language understanding, wey dem dey call natural-language understanding, na part of artificial intelligence wey dem dey call natural-language processing (NLP). E dey deal with reading comprehension, to try understand di details of words or sentences. If you don use voice assistant like Alexa or Siri, you don use language understanding services. Na dem dey behind di AI wey go turn "Alexa, play di latest album by Taylor Swift" to my pikin dey dance for di living room to her favorite songs.
+
+> 💁 Computers, even with all di progress wey dem don make, still get long way to go to really understand text. When we talk about language understanding for computers, we no mean anything wey near human communication. We just mean to take some words and extract di key details.
+
+As humans, we dey understand language without even thinking. If I tell another human "play di latest album by Taylor Swift", dem go sabi wetin I mean. But for computer, e go hard. E go need take di words, wey dem don turn from speech to text, and figure out di following:
+
+* Music need to play
+* Di music na by Taylor Swift
+* Di music na full album with many tracks for order
+* Taylor Swift get many albums, so dem go arrange dem by time and pick di latest one
+
+✅ Think of some other sentences wey you don talk when you dey make requests, like to order coffee or ask person to pass you something. Try break dem down into di pieces of information wey computer go need to extract to understand di sentence.
+
+Language understanding models na AI models wey dem dey train to extract certain details from language, and dem dey train dem for specific tasks using transfer learning, just like how you train Custom Vision model with small set of images. You fit take one model, then train am with di text wey you want make e understand.
+
+## Create a language understanding model
+
+![The LUIS logo](../../../../../translated_images/luis-logo.5cb4f3e88c020ee6df4f614e8831f4a4b6809a7247bf52085fb48d629ef9be52.pcm.png)
+
+You fit create language understanding models using LUIS, one language understanding service from Microsoft wey be part of Cognitive Services.
+
+### Task - create an authoring resource
+
+To use LUIS, you go need create one authoring resource.
+
+1. Use di command below to create one authoring resource for your `smart-timer` resource group:
+
+    ```python
+    az cognitiveservices account create --name smart-timer-luis-authoring \
+                                        --resource-group smart-timer \
+                                        --kind LUIS.Authoring \
+                                        --sku F0 \
+                                        --yes \
+                                        --location <location>
+    ```
+
+    Replace `<location>` with di location wey you use when you create di Resource Group.
+
+    > ⚠️ LUIS no dey available for all regions, so if you see dis error:
+    >
+    > ```output
+    > InvalidApiSetId: The account type 'LUIS.Authoring' is either invalid or unavailable in given region.
+    > ```
+    >
+    > try pick another region.
+
+    Dis go create free-tier LUIS authoring resource.
+
+### Task - create a language understanding app
+
+1. Open di LUIS portal for [luis.ai](https://luis.ai?WT.mc_id=academic-17441-jabenn) for your browser, and sign in with di same account wey you dey use for Azure.
+
+1. Follow di instructions for di dialog to select your Azure subscription, then select di `smart-timer-luis-authoring` resource wey you just create.
+
+1. From di *Conversation apps* list, select di **New app** button to create new application. Name di new app `smart-timer`, and set di *Culture* to your language.
+
+    > 💁 Di field for prediction resource dey optional. You fit create another resource for prediction, but di free authoring resource dey allow 1,000 predictions per month, so e go do for development. You fit leave am blank.
+
+1. Read di guide wey go show after you create di app to understand di steps wey you need to train di language understanding model. Close di guide when you don finish.
+
+## Intents and entities
+
+Language understanding dey based on *intents* and *entities*. Intents na wetin di words wan do, like play music, set timer, or order food. Entities na wetin di intent dey refer to, like di album, di timer length, or di type of food. Each sentence wey di model interpret go get at least one intent, and fit get one or more entities.
+
+Some examples:
+
+| Sentence                                            | Intent           | Entities                                   |
+| --------------------------------------------------- | ---------------- | ------------------------------------------ |
+| "Play di latest album by Taylor Swift"             | *play music*     | *di latest album by Taylor Swift*         |
+| "Set a 3 minute timer"                              | *set a timer*    | *3 minutes*                                |
+| "Cancel my timer"                                   | *cancel a timer* | None                                       |
+| "Order 3 large pineapple pizzas and a caesar salad" | *order food*     | *3 large pineapple pizzas*, *caesar salad* |
+
+✅ For di sentences wey you think about earlier, wetin go be di intent and di entities for di sentence?
+
+To train LUIS, first you go set di entities. Dem fit be fixed list of terms, or dem fit learn from di text. For example, you fit provide fixed list of food wey dey your menu, with variations (or synonyms) of each word, like *egg plant* and *aubergine* as variations of *aubergine*. LUIS also get pre-built entities wey you fit use, like numbers and locations.
+
+For setting timer, you fit get one entity wey go use di pre-built number entities for di time, and another one for di units, like minutes and seconds. Each unit go get multiple variations to cover singular and plural forms - like minute and minutes.
+
+After you define di entities, you go create intents. Di model go learn di intents based on example sentences wey you provide (dem dey call dem utterances). For example, for *set timer* intent, you fit provide dis sentences:
+
+* `set a 1 second timer`
+* `set a timer for 1 minute and 12 seconds`
+* `set a timer for 3 minutes`
+* `set a 9 minute 30 second timer`
+
+You go then tell LUIS which part of di sentences dey map to di entities:
+
+![The sentence set a timer for 1 minute and 12 seconds broken into entities](../../../../../translated_images/sentence-as-intent-entities.301401696f9922590a99343f5c5d211b710b906f212f0d4d034cee3ffb610272.pcm.png)
+
+Di sentence `set a timer for 1 minute and 12 seconds` get di intent of `set timer`. E also get 2 entities with 2 values each:
+
+|            | time | unit   |
+| ---------- | ---: | ------ |
+| 1 minute   | 1    | minute |
+| 12 seconds | 12   | second |
+
+To train better model, you go need different example sentences to cover di many ways wey person fit ask for di same thing.
+
+> 💁 As e be for any AI model, di more data and di more accurate di data wey you use train, di better di model go be.
+
+✅ Think about di different ways wey you fit ask di same thing and expect human to understand.
+
+### Task - add entities to di language understanding models
+
+For di timer, you go need add 2 entities - one for di unit of time (minutes or seconds), and one for di number of minutes or seconds.
+
+You fit find instructions for how to use di LUIS portal for di [Quickstart: Build your app in LUIS portal documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/luis/luis-get-started-create-app?WT.mc_id=academic-17441-jabenn).
+
+1. From di LUIS portal, select di *Entities* tab and add di *number* prebuilt entity by selecting di **Add prebuilt entity** button, then select *number* from di list.
+
+1. Create new entity for di time unit using di **Create** button. Name di entity `time unit` and set di type to *List*. Add values for `minute` and `second` to di *Normalized values* list, adding di singular and plural forms to di *synonyms* list. Press `return` after you add each synonym to di list.
+
+    | Normalized value | Synonyms        |
+    | ---------------- | --------------- |
+    | minute           | minute, minutes |
+    | second           | second, seconds |
+
+### Task - add intents to di language understanding models
+
+1. From di *Intents* tab, select di **Create** button to create new intent. Name dis intent `set timer`.
+
+1. For di examples, enter different ways to set timer using both minutes, seconds, and minutes and seconds together. Examples fit be:
+
+    * `set a 1 second timer`
+    * `set a 4 minute timer`
+    * `set a four minute six second timer`
+    * `set a 9 minute 30 second timer`
+    * `set a timer for 1 minute and 12 seconds`
+    * `set a timer for 3 minutes`
+    * `set a timer for 3 minutes and 1 second`
+    * `set a timer for three minutes and one second`
+    * `set a timer for 1 minute and 1 second`
+    * `set a timer for 30 seconds`
+    * `set a timer for 1 second`
+
+    Mix numbers as words and numerics so di model go sabi handle both.
+
+1. As you dey enter each example, LUIS go start dey detect entities, and e go underline and label any one wey e find.
+
+    ![The examples with the numbers and time units underlined by LUIS](../../../../../translated_images/luis-intent-examples.25716580b2d2723cf1bafdf277d015c7f046d8cfa20f27bddf3a0873ec45fab7.pcm.png)
+
+### Task - train and test di model
+
+1. Once you don configure di entities and intents, you fit train di model using di **Train** button for di top menu. Select dis button, and di model go train for few seconds. Di button go grey out while e dey train, and e go re-enable when e finish.
+
+1. Select di **Test** button from di top menu to test di language understanding model. Enter text like `set a timer for 5 minutes and 4 seconds` and press return. Di sentence go show for one box under di text box wey you type am into, and under dat you go see di *top intent*, or di intent wey dem detect with di highest probability. Dis go be `set timer`. Di intent name go dey followed by di probability say na di correct one.
+
+1. Select di **Inspect** option to see breakdown of di results. You go see di top-scoring intent with di percentage probability, along with lists of di entities wey dem detect.
+
+1. Close di *Test* pane when you don finish testing.
+
+### Task - publish di model
+
+To use dis model from code, you go need publish am. When you dey publish from LUIS, you fit publish to either staging environment for testing, or product environment for full release. For dis lesson, staging environment dey okay.
+
+1. From di LUIS portal, select di **Publish** button from di top menu.
+
+1. Make sure say *Staging slot* dey selected, then select **Done**. You go see notification when di app don publish.
+1. You fit test dis one wit curl. To build di curl command, you go need three values - di endpoint, di application ID (App ID) and API key. You fit find dem for di **MANAGE** tab wey dey di top menu.
+
+    1. For di *Settings* section, copy di App ID.
+
+    1. For di *Azure Resources* section, select *Authoring Resource*, then copy di *Primary Key* and *Endpoint URL*.
+
+1. Run di curl command wey dey below for your command prompt or terminal:
+
+    ```sh
+    curl "<endpoint url>/luis/prediction/v3.0/apps/<app id>/slots/staging/predict" \
+          --request GET \
+          --get \
+          --data "subscription-key=<primary key>" \
+          --data "verbose=false" \
+          --data "show-all-intents=true" \
+          --data-urlencode "query=<sentence>"
+    ```
+
+    Change `<endpoint url>` to di Endpoint URL wey dey di *Azure Resources* section.
+
+    Change `<app id>` to di App ID wey dey di *Settings* section.
+
+    Change `<primary key>` to di Primary Key wey dey di *Azure Resources* section.
+
+    Change `<sentence>` to di sentence wey you wan test.
+
+1. Di output wey go come from dis call na JSON document wey go show di query, di top intent, and list of entities wey dem break down by type.
+
+    ```JSON
+    {
+        "query": "set a timer for 45 minutes and 12 seconds",
+        "prediction": {
+            "topIntent": "set timer",
+            "intents": {
+                "set timer": {
+                    "score": 0.97031575
+                },
+                "None": {
+                    "score": 0.02205793
+                }
+            },
+            "entities": {
+                "number": [
+                    45,
+                    12
+                ],
+                "time-unit": [
+                    [
+                        "minute"
+                    ],
+                    [
+                        "second"
+                    ]
+                ]
+            }
+        }
+    }
+    ```
+
+    Di JSON wey dey above na from query wey use `set a timer for 45 minutes and 12 seconds`:
+
+    * Di `set timer` na di top intent wey get probability of 97%.
+    * Dem detect two *number* entities, `45` and `12`.
+    * Dem detect two *time-unit* entities, `minute` and `second`.
+
+## Use di language understanding model
+
+Once you don publish am, di LUIS model fit dey called from code. For di lessons wey don pass, you don use IoT Hub to handle communication wit cloud services, dey send telemetry and dey wait for commands. Dis one dey very asynchronous - once telemetry don go, your code no dey wait for response, and if di cloud service no dey work, you no go sabi.
+
+For smart timer, we go need response sharp sharp, so we fit tell di user say timer don set, or alert dem say di cloud services no dey available. To do dis one, our IoT device go call web endpoint directly, instead of dey rely on IoT Hub.
+
+Instead of calling LUIS from di IoT device, you fit use serverless code wey get different type of trigger - HTTP trigger. Dis one go allow your function app to dey listen for REST requests, and respond to dem. Dis function go be REST endpoint wey your device fit call.
+
+> 💁 Even though you fit call LUIS directly from your IoT device, e better make you use serverless code. Dis way, if you wan change di LUIS app wey you dey call, like when you train better model or train model for different language, you go only need update your cloud code, you no go need re-deploy code to plenty IoT devices.
+
+### Task - create serverless functions app
+
+1. Create Azure Functions app wey dem call `smart-timer-trigger`, then open am for VS Code.
+
+1. Add HTTP trigger to dis app wey dem call `speech-trigger` using di command wey dey below from inside di VS Code terminal:
+
+    ```sh
+    func new --name text-to-timer --template "HTTP trigger"
+    ```
+
+    Dis one go create HTTP trigger wey dem call `text-to-timer`.
+
+1. Test di HTTP trigger by running di functions app. When e run, you go see di endpoint for di output:
+
+    ```output
+    Functions:
+    
+            text-to-timer: [GET,POST] http://localhost:7071/api/text-to-timer
+    ```
+
+    Test am by loading di [http://localhost:7071/api/text-to-timer](http://localhost:7071/api/text-to-timer) URL for your browser.
+
+    ```output
+    This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.
+    ```
+
+### Task - use di language understanding model
+
+1. Di SDK for LUIS dey available through Pip package. Add di line wey dey below to di `requirements.txt` file to add di dependency for dis package:
+
+    ```sh
+    azure-cognitiveservices-language-luis
+    ```
+
+1. Make sure say di VS Code terminal don activate di virtual environment, then run di command wey dey below to install di Pip packages:
+
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+    > 💁 If error show, you fit need upgrade pip wit di command wey dey below:
+    >
+    > ```sh
+    > pip install --upgrade pip
+    > ```
+
+1. Add new entries to di `local.settings.json` file for your LUIS API Key, Endpoint URL, and App ID wey dey di **MANAGE** tab for di LUIS portal:
+
+    ```JSON
+    "LUIS_KEY": "<primary key>",
+    "LUIS_ENDPOINT_URL": "<endpoint url>",
+    "LUIS_APP_ID": "<app id>"
+    ```
+
+    Change `<endpoint url>` to di Endpoint URL wey dey di *Azure Resources* section for di **MANAGE** tab. Dis one go be `https://<location>.api.cognitive.microsoft.com/`.
+
+    Change `<app id>` to di App ID wey dey di *Settings* section for di **MANAGE** tab.
+
+    Change `<primary key>` to di Primary Key wey dey di *Azure Resources* section for di **MANAGE** tab.
+
+1. Add di imports wey dey below to di `__init__.py` file:
+
+    ```python
+    import json
+    import os
+    from azure.cognitiveservices.language.luis.runtime import LUISRuntimeClient
+    from msrest.authentication import CognitiveServicesCredentials
+    ```
+
+    Dis one go import some system libraries, plus di libraries wey go interact wit LUIS.
+
+1. Delete di contents wey dey di `main` method, then add di code wey dey below:
+
+    ```python
+    luis_key = os.environ['LUIS_KEY']
+    endpoint_url = os.environ['LUIS_ENDPOINT_URL']
+    app_id = os.environ['LUIS_APP_ID']
+    
+    credentials = CognitiveServicesCredentials(luis_key)
+    client = LUISRuntimeClient(endpoint=endpoint_url, credentials=credentials)
+    ```
+
+    Dis one go load di values wey you add for di `local.settings.json` file for your LUIS app, create credentials object wit your API key, then create LUIS client object to interact wit your LUIS app.
+
+1. Dis HTTP trigger go dey called passing di text wey you wan understand as JSON, wit di text dey inside property wey dem call `text`. Di code wey dey below go extract di value from di body of di HTTP request, then log am for di console. Add dis code to di `main` function:
+
+    ```python
+    req_body = req.get_json()
+    text = req_body['text']
+    logging.info(f'Request - {text}')
+    ```
+
+1. Predictions dey requested from LUIS by sending prediction request - JSON document wey get di text wey you wan predict. Create dis one wit di code wey dey below:
+
+    ```python
+    prediction_request = { 'query' : text }
+    ```
+
+1. Dis request fit then dey sent to LUIS, using di staging slot wey your app don publish to:
+
+    ```python
+    prediction_response = client.prediction.get_slot_prediction(app_id, 'Staging', prediction_request)
+    ```
+
+1. Di prediction response go get di top intent - di intent wey get di highest prediction score, plus di entities. If di top intent na `set timer`, then di entities fit dey read to get di time wey dem need for di timer:
+
+    ```python
+    if prediction_response.prediction.top_intent == 'set timer':
+        numbers = prediction_response.prediction.entities['number']
+        time_units = prediction_response.prediction.entities['time unit']
+        total_seconds = 0
+    ```
+
+    Di `number` entities go be array of numbers. For example, if you talk *"Set a four minute 17 second timer."*, di `number` array go get 2 integers - 4 and 17.
+
+    Di `time unit` entities go be array of arrays of strings, wit each time unit dey as array of strings inside di array. For example, if you talk *"Set a four minute 17 second timer."*, di `time unit` array go get 2 arrays wit single values each - `['minute']` and `['second']`.
+
+    Di JSON version of dis entities for *"Set a four minute 17 second timer."* na:
+
+    ```json
+    {
+        "number": [4, 17],
+        "time unit": [
+            ["minute"],
+            ["second"]
+        ]
+    }
+    ```
+
+    Dis code also define count for di total time for di timer in seconds. Dis one go dey populated by di values wey dey di entities.
+
+1. Di entities no dey linked, but we fit make some assumptions about dem. Dem go dey for di order wey you talk am, so di position for di array fit dey used to know which number match to which time unit. For example:
+
+    * *"Set a 30 second timer"* - dis one go get one number, `30`, and one time unit, `second` so di single number go match di single time unit.
+    * *"Set a 2 minute and 30 second timer"* - dis one go get two numbers, `2` and `30`, and two time units, `minute` and `second` so di first number go dey for di first time unit (2 minutes), and di second number for di second time unit (30 seconds).
+
+    Di code wey dey below go get di count of items wey dey di number entities, then use am to extract di first item from each array, then di second and so on. Add dis one inside di `if` block.
+
+    ```python
+    for i in range(0, len(numbers)):
+        number = numbers[i]
+        time_unit = time_units[i][0]
+    ```
+
+    For *"Set a four minute 17 second timer."*, dis one go loop two times, give di values wey dey below:
+
+    | loop count | `number` | `time_unit` |
+    | ---------: | -------: | ----------- |
+    | 0          | 4        | minute      |
+    | 1          | 17       | second      |
+
+1. Inside dis loop, use di number and time unit to calculate di total time for di timer, add 60 seconds for each minute, and di number of seconds for any seconds.
+
+    ```python
+    if time_unit == 'minute':
+        total_seconds += number * 60
+    else:
+        total_seconds += number
+    ```
+
+1. Outside dis loop wey dey go through di entities, log di total time for di timer:
+
+    ```python
+    logging.info(f'Timer required for {total_seconds} seconds')
+    ```
+
+1. Di number of seconds go need dey returned from di function as HTTP response. For di end of di `if` block, add di code wey dey below:
+
+    ```python
+    payload = {
+        'seconds': total_seconds
+    }
+    return func.HttpResponse(json.dumps(payload), status_code=200)
+    ```
+
+    Dis code go create payload wey get di total number of seconds for di timer, convert am to JSON string and return am as HTTP result wit status code of 200, wey mean say di call dey successful.
+
+1. Finally, outside di `if` block, handle if di intent no dey recognized by returning error code:
+
+    ```python
+    return func.HttpResponse(status_code=404)
+    ```
+
+    404 na di status code for *not found*.
+
+1. Run di function app and test am wit curl.
+
+    ```sh
+    curl --request POST 'http://localhost:7071/api/text-to-timer' \
+         --header 'Content-Type: application/json' \
+         --include \
+         --data '{"text":"<text>"}'
+    ```
+
+    Change `<text>` to di text of your request, like `set a 2 minutes 27 second timer`.
+
+    You go see di output wey dey below from di functions app:
+
+    ```output
+    Functions:
+
+            text-to-timer: [GET,POST] http://localhost:7071/api/text-to-timer
+    
+    For detailed output, run func with --verbose flag.
+    [2021-06-26T19:45:14.502Z] Worker process started and initialized.
+    [2021-06-26T19:45:19.338Z] Host lock lease acquired by instance ID '000000000000000000000000951CAE4E'.
+    [2021-06-26T19:45:52.059Z] Executing 'Functions.text-to-timer' (Reason='This function was programmatically called via the host APIs.', Id=f68bfb90-30e4-47a5-99da-126b66218e81)
+    [2021-06-26T19:45:53.577Z] Timer required for 147 seconds
+    [2021-06-26T19:45:53.746Z] Executed 'Functions.text-to-timer' (Succeeded, Id=f68bfb90-30e4-47a5-99da-126b66218e81, Duration=1750ms)
+    ```
+
+    Di call to curl go return di one wey dey below:
+
+    ```output
+    HTTP/1.1 200 OK
+    Date: Tue, 29 Jun 2021 01:14:11 GMT
+    Content-Type: text/plain; charset=utf-8
+    Server: Kestrel
+    Transfer-Encoding: chunked
+    
+    {"seconds": 147}
+    ```
+
+    Di number of seconds for di timer dey inside di `"seconds"` value.
+
+> 💁 You fit find dis code for di [code/functions](../../../../../6-consumer/lessons/2-language-understanding/code/functions) folder.
+
+### Task - make your function available to your IoT device
+
+1. For your IoT device to call your REST endpoint, e go need sabi di URL. When you access am before, you use `localhost`, wey be shortcut to access REST endpoints for your local machine. To allow your IoT device get access, you go need either publish am to di cloud, or get your IP address to access am locally.
+
+    > ⚠️ If you dey use Wio Terminal, e go easy to run di function app locally, because e get dependency on libraries wey mean say you no fit deploy di function app di same way wey you don do before. Run di function app locally and access am through your computer IP address. If you wan deploy am to di cloud, information go dey provided for di lesson wey go come later on how to do dis one.
+
+    * Publish di Functions app - follow di instructions wey dey di lessons wey don pass to publish your functions app to di cloud. Once you don publish am, di URL go be `https://<APP_NAME>.azurewebsites.net/api/text-to-timer`, where `<APP_NAME>` go be di name of your functions app. Make sure say you publish your local settings too.
+
+      When you dey work wit HTTP triggers, dem dey secure by default wit function app key. To get dis key, run di command wey dey below:
+
+      ```sh
+      az functionapp keys list --resource-group smart-timer \
+                               --name <APP_NAME>                               
+      ```
+
+      Copy di value of di `default` entry wey dey di `functionKeys` section.
+
+      ```output
+      {
+        "functionKeys": {
+          "default": "sQO1LQaeK9N1qYD6SXeb/TctCmwQEkToLJU6Dw8TthNeUH8VA45hlA=="
+        },
+        "masterKey": "RSKOAIlyvvQEQt9dfpabJT018scaLpQu9p1poHIMCxx5LYrIQZyQ/g==",
+        "systemKeys": {}
+      }
+      ```
+
+      Dis key go need dey added as query parameter to di URL, so di final URL go be `https://<APP_NAME>.azurewebsites.net/api/text-to-timer?code=<FUNCTION_KEY>`, where `<APP_NAME>` go be di name of your functions app, and `<FUNCTION_KEY>` go be your default function key.
+
+      > 💁 You fit change di type of authorization wey di HTTP trigger dey use wit `authlevel` setting wey dey di `function.json` file. You fit read more about dis one for di [configuration section of di Azure Functions HTTP trigger documentation for Microsoft docs](https://docs.microsoft.com/azure/azure-functions/functions-bindings-http-webhook-trigger?WT.mc_id=academic-17441-jabenn&tabs=python#configuration).
+
+    * Run di functions app locally, and access am using di IP address - you fit get di IP address of your computer for your local network, then use am to build di URL.
+
+      Find your IP address:
+
+      * For Windows 10, follow di [find your IP address guide](https://support.microsoft.com/windows/find-your-ip-address-f21a9bbc-c582-55cd-35e0-73431160a1b9?WT.mc_id=academic-17441-jabenn)
+      * For macOS, follow di [how to find you IP address on a Mac guide](https://www.hellotech.com/guide/for/how-to-find-ip-address-on-mac)
+      * For linux, follow di section wey dey find your private IP address for di [how to find your IP address in Linux guide](https://opensource.com/article/18/5/how-find-ip-address-linux)
+
+      Once you don get your IP address, you go fit access di function for `http://<IP_ADDRESS>:7071/api/text-to-timer`, where `<IP_ADDRESS>` go be your IP address, like `http://192.168.1.10:7071/api/text-to-timer`.
+
+      > 💁 Note say dis one dey use port 7071, so after di IP address you go need add `:7071`.
+> 💁 Dis go only work if your IoT device dey for di same network as your computer.
+
+1. Test di endpoint by accessing am using curl.
+
+---
+
+## 🚀 Challenge
+
+Plenty ways dey to request di same thing, like to set timer. Think of different ways to do am, and use dem as examples for your LUIS app. Test dem out, make you see how well your model fit handle di different ways to request timer.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/44)
+
+## Review & Self Study
+
+* Read more about LUIS and wetin e fit do for di [Language Understanding (LUIS) documentation page for Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/luis/?WT.mc_id=academic-17441-jabenn)
+* Read more about language understanding for di [natural-language understanding page for Wikipedia](https://wikipedia.org/wiki/Natural-language_understanding)
+* Read more about HTTP triggers for di [Azure Functions HTTP trigger documentation for Microsoft docs](https://docs.microsoft.com/azure/azure-functions/functions-bindings-http-webhook-trigger?WT.mc_id=academic-17441-jabenn&tabs=python)
+
+## Assignment
+
+[Cancel di timer](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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@@ -0,0 +1,30 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "5a7262a0c48dfacdfe1ff91b20bf16fd",
+  "translation_date": "2025-11-18T19:18:34+00:00",
+  "source_file": "6-consumer/lessons/2-language-understanding/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Cancel di timer
+
+## Instructions
+
+For dis lesson wey you don dey do, you don train model wey sabi how to set timer. Another beta feature na how to cancel timer - maybe di bread don ready and you fit commot am from oven before di timer finish.
+
+Add new intent for your LUIS app to cancel di timer. E no go need any entities, but e go need some example sentences. Handle am for your serverless code if e be di top intent, log say di intent don dey recognized and return correct response.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Add di cancel timer intent to di LUIS app | Fit add di intent and train di model well | Fit add di intent but no fit train di model | No fit add di intent and train di model |
+| Handle di intent for di serverless app | Fit detect di intent as di top intent and log am | Fit detect di intent as di top intent | No fit detect di intent as di top intent |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu wey you dey see don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg no forget say machine translation fit get mistake or no too accurate. Di original docu for di language wey dem first write am na di main correct one. If na important matter, e go better make you use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/README.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/README.md
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@@ -0,0 +1,144 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "b73fe10ec6b580fba2affb6f6e0a5c4d",
+  "translation_date": "2025-11-18T19:14:18+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/README.md",
+  "language_code": "pcm"
+}
+-->
+# Set Timer and Give Spoken Feedback
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-23.f38483e1d4df4828990d3f02d60e46c978b075d384ae7cb4f7bab738e107c850.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/45)
+
+## Introduction
+
+Smart assistants no be one-way communication device. You go talk to dem, dem go respond:
+
+"Alexa, set 3 minute timer"
+
+"Ok, your timer don set for 3 minutes"
+
+For di last 2 lessons, you don learn how to take speech turn am to text, then extract timer request from di text. For dis lesson, you go learn how to set timer for IoT device, respond to di user with spoken words to confirm di timer, and alert dem when di timer don finish.
+
+For dis lesson we go cover:
+
+* [Text to speech](../../../../../6-consumer/lessons/3-spoken-feedback)
+* [Set di timer](../../../../../6-consumer/lessons/3-spoken-feedback)
+* [Convert text to speech](../../../../../6-consumer/lessons/3-spoken-feedback)
+
+## Text to speech
+
+Text to speech, as di name talk, na di process to turn text to audio wey go talk di text as spoken words. Di basic idea na to break di words for di text into di sounds wey dem dey made up of (dem dey call am phonemes), then join di audio for those sounds together, either with pre-recorded audio or audio wey AI models generate.
+
+![The three stages of typical text to speech systems](../../../../../translated_images/tts-overview.193843cf3f5ee09f8b3371a9fdaeb0f116698a07ca69daaa77158da4800e5453.pcm.png)
+
+Text to speech systems dey usually get 3 stages:
+
+* Text analysis
+* Linguistic analysis
+* Wave-form generation
+
+### Text analysis
+
+Text analysis na di process to take di text wey dem give, then turn am to words wey fit generate speech. For example, if you wan convert "Hello world", no need text analysis, di two words fit just turn to speech. But if you get "1234", you fit need convert am to "One thousand, two hundred thirty four" or "One, two, three, four" based on di context. For "I have 1234 apples", e go be "One thousand, two hundred thirty four", but for "The child counted 1234" e go be "One, two, three, four".
+
+Di words wey dem go create fit change based on di language and di locale of di language. For example, for American English, 120 go be "One hundred twenty", but for British English e go be "One hundred and twenty", with di "and" after di hundreds.
+
+✅ Some other examples wey need text analysis na "in" as short form of inch, and "st" as short form of saint and street. You fit think of other examples for your language wey words no clear without context?
+
+Once dem don define di words, dem go send am for linguistic analysis.
+
+### Linguistic analysis
+
+Linguistic analysis go break di words into phonemes. Phonemes no just depend on di letters wey dem use, but di other letters for di word. For example, for English di 'a' sound for 'car' and 'care' no be di same. English language get 44 different phonemes for di 26 letters for alphabet, some dey share di same phoneme, like di one wey dey start 'circle' and 'serpent'.
+
+✅ Do small research: Wetin be di phonemes for your language?
+
+Once dem don turn di words to phonemes, di phonemes go need extra data to support intonation, adjust di tone or duration based on di context. One example na for English, pitch fit rise to turn sentence to question, if pitch rise for di last word, e mean question.
+
+For example - di sentence "You have an apple" na statement wey talk say you get apple. If pitch rise for di end, increase for di word apple, e go turn to question "You have an apple?", dey ask if you get apple. Di linguistic analysis go use di question mark for di end to decide to increase pitch.
+
+Once dem don generate di phonemes, dem go send am for wave-form generation to produce di audio output.
+
+### Wave-form generation
+
+Di first electronic text to speech systems dey use single audio recordings for each phoneme, so di voice dey sound robotic and monotonous. Di linguistic analysis go produce phonemes, dem go load am from database of sounds and join dem together to make di audio.
+
+✅ Do small research: Find some audio recordings from early speech synthesis systems. Compare am to modern speech synthesis, like di one wey smart assistants dey use.
+
+Modern wave-form generation dey use ML models wey dem build with deep learning (big neural networks wey dey work like neurons for brain) to produce natural sounding voices wey fit sound like human beings.
+
+> 💁 Some of dis ML models fit re-train with transfer learning to sound like real people. Dis mean say to use voice as security system no too safe again, as anybody wey get few minutes recording of your voice fit impersonate you.
+
+Dis big ML models dey train to combine all di three steps into end-to-end speech synthesizers.
+
+## Set di timer
+
+To set di timer, your IoT device go need call di REST endpoint wey you create with serverless code, then use di number of seconds wey e return to set timer.
+
+### Task - call di serverless function to get di timer time
+
+Follow di guide wey match your IoT device to call di REST endpoint and set timer for di time wey dem need:
+
+* [Arduino - Wio Terminal](wio-terminal-set-timer.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-set-timer.md)
+
+## Convert text to speech
+
+Di same speech service wey you use to turn speech to text fit also turn text back to speech, and you fit play am through speaker for your IoT device. Di text wey you wan convert go dey sent to di speech service, with di type of audio wey you need (like di sample rate), and e go return binary data wey get di audio.
+
+When you send dis request, you go use *Speech Synthesis Markup Language* (SSML), XML-based markup language for speech synthesis apps. E dey define not only di text wey you wan convert, but di language of di text, di voice wey you go use, and e fit even define speed, volume, and pitch for some or all di words for di text.
+
+For example, dis SSML dey define request to turn di text "Your 3 minute 5 second time has been set" to speech with British English voice wey dem call `en-GB-MiaNeural`
+
+```xml
+<speak version='1.0' xml:lang='en-GB'>
+    <voice xml:lang='en-GB' name='en-GB-MiaNeural'>
+        Your 3 minute 5 second time has been set
+    </voice>
+</speak>
+```
+
+> 💁 Most text to speech systems get plenty voices for different languages, with di correct accents like British English voice with English accent and New Zealand English voice with New Zealand accent.
+
+### Task - convert text to speech
+
+Follow di guide wey match your IoT device to convert text to speech:
+
+* [Arduino - Wio Terminal](wio-terminal-text-to-speech.md)
+* [Single-board computer - Raspberry Pi](pi-text-to-speech.md)
+* [Single-board computer - Virtual device](virtual-device-text-to-speech.md)
+
+---
+
+## 🚀 Challenge
+
+SSML get ways to change how words dey sound, like to add emphasis to some words, add pauses, or change pitch. Try some of dem, send different SSML from your IoT device and compare di output. You fit read more about SSML, including how to change di way words dey sound for di [Speech Synthesis Markup Language (SSML) Version 1.1 specification from di World Wide Web consortium](https://www.w3.org/TR/speech-synthesis11/).
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/46)
+
+## Review & Self Study
+
+* Read more about speech synthesis for di [speech synthesis page for Wikipedia](https://wikipedia.org/wiki/Speech_synthesis)
+* Read more about how criminals dey use speech synthesis to steal for di [fake voices 'help cyber crooks steal cash' story for BBC news](https://www.bbc.com/news/technology-48908736)
+* Learn more about di risks to voice actors from synthesized versions of their voices for di [this TikTok lawsuit is highlighting how AI is screwing over voice actors article for Vice](https://www.vice.com/en/article/z3xqwj/this-tiktok-lawsuit-is-highlighting-how-ai-is-screwing-over-voice-actors)
+
+## Assignment
+
+[Cancel di timer](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey 100% correct. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important information, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/assignment.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/assignment.md
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--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/3-spoken-feedback/assignment.md
@@ -0,0 +1,28 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "da5d9360fe02fdcc1e91a725016c846d",
+  "translation_date": "2025-11-18T19:16:38+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Cancel di timer
+
+## Instructions
+
+For di assignment wey you do for di last lesson, you add cancel timer intent to LUIS. For dis assignment, you go need handle dis intent for di serverless code, send command to di IoT device, then cancel di timer.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Handle di intent for serverless code and send command | Fit handle di intent and send command to di device | Fit handle di intent but no fit send di command to di device | No fit handle di intent |
+| Cancel di timer for di device | Fit receive di command and cancel di timer | Fit receive di command but no fit cancel di timer | No fit receive di command |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/pi-text-to-speech.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/pi-text-to-speech.md
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--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/3-spoken-feedback/pi-text-to-speech.md
@@ -0,0 +1,158 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "606f3af1c78e3741e48ce77c31cea626",
+  "translation_date": "2025-11-18T19:15:05+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/pi-text-to-speech.md",
+  "language_code": "pcm"
+}
+-->
+# Text to speech - Raspberry Pi
+
+For dis part of di lesson, you go write code wey go change text to speech using di speech service.
+
+## Change text to speech using di speech service
+
+You fit send di text go di speech service using di REST API to get speech as audio file wey you fit play for your IoT device. Wen you dey request speech, you go need provide di voice wey you wan use because speech fit dey generate with different voices.
+
+Each language get different voices wey e support, and you fit make REST request to di speech service to get di list of voices wey dey available for each language.
+
+### Task - get voice
+
+1. Open di `smart-timer` project for VS Code.
+
+1. Add dis code above di `say` function to request di list of voices for one language:
+
+    ```python
+    def get_voice():
+        url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/voices/list'
+    
+        headers = {
+            'Authorization': 'Bearer ' + get_access_token()
+        }
+    
+        response = requests.get(url, headers=headers)
+        voices_json = json.loads(response.text)
+    
+        first_voice = next(x for x in voices_json if x['Locale'].lower() == language.lower() and x['VoiceType'] == 'Neural')
+        return first_voice['ShortName']
+    
+    voice = get_voice()
+    print(f'Using voice {voice}')
+    ```
+
+    Dis code dey define one function wey dem call `get_voice` wey dey use di speech service to get list of voices. E go then find di first voice wey match di language wey you dey use.
+
+    Dis function go then dey call to store di first voice, and di voice name go show for di console. You fit request dis voice once and use di value for every call to change text to speech.
+
+    > 💁 You fit get di full list of voices wey dem support from di [Language and voice support documentation for Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#text-to-speech). If you wan use one specific voice, you fit remove dis function and just put di voice name from di documentation. Example:
+    >
+    > ```python
+    > voice = 'hi-IN-SwaraNeural'
+    > ```
+
+### Task - change text to speech
+
+1. After dis, define one constant for di audio format wey you go collect from di speech services. Wen you dey request audio, you fit do am for different formats.
+
+    ```python
+    playback_format = 'riff-48khz-16bit-mono-pcm'
+    ```
+
+    Di format wey you fit use go depend on your hardware. If you dey get `Invalid sample rate` errors wen you dey play di audio, change am to another value. You fit find di list of values wey dem support for di [Text to speech REST API documentation for Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/rest-text-to-speech?WT.mc_id=academic-17441-jabenn#audio-outputs). You go need use `riff` format audio, and di values wey you fit try na `riff-16khz-16bit-mono-pcm`, `riff-24khz-16bit-mono-pcm` and `riff-48khz-16bit-mono-pcm`.
+
+1. After dis, declare one function wey dem call `get_speech` wey go change di text to speech using di speech service REST API:
+
+    ```python
+    def get_speech(text):
+    ```
+
+1. For di `get_speech` function, define di URL wey you go call and di headers wey you go pass:
+
+    ```python
+        url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/v1'
+    
+        headers = {
+            'Authorization': 'Bearer ' + get_access_token(),
+            'Content-Type': 'application/ssml+xml',
+            'X-Microsoft-OutputFormat': playback_format
+        }
+    ```
+
+    Dis one dey set di headers to use one generated access token, set di content to SSML and define di audio format wey you need.
+
+1. After dis, define di SSML wey you go send go di REST API:
+
+    ```python
+    ssml =  f'<speak version=\'1.0\' xml:lang=\'{language}\'>'
+    ssml += f'<voice xml:lang=\'{language}\' name=\'{voice}\'>'
+    ssml += text
+    ssml += '</voice>'
+    ssml += '</speak>'
+    ```
+
+    Dis SSML dey set di language and di voice wey you go use, plus di text wey you wan change.
+
+1. Finally, add code for dis function to make di REST request and return di binary audio data:
+
+    ```python
+    response = requests.post(url, headers=headers, data=ssml.encode('utf-8'))
+    return io.BytesIO(response.content)
+    ```
+
+### Task - play di audio
+
+1. After di `get_speech` function, define one new function to play di audio wey di REST API call return:
+
+    ```python
+    def play_speech(speech):
+    ```
+
+1. Di `speech` wey you pass go dis function na di binary audio data wey di REST API return. Use dis code to open am as wave file and pass am to PyAudio to play di audio:
+
+    ```python
+    def play_speech(speech):
+        with wave.open(speech, 'rb') as wave_file:
+            stream = audio.open(format=audio.get_format_from_width(wave_file.getsampwidth()),
+                                channels=wave_file.getnchannels(),
+                                rate=wave_file.getframerate(),
+                                output_device_index=speaker_card_number,
+                                output=True)
+
+            data = wave_file.readframes(4096)
+
+            while len(data) > 0:
+                stream.write(data)
+                data = wave_file.readframes(4096)
+
+            stream.stop_stream()
+            stream.close()
+    ```
+
+    Dis code dey use PyAudio stream, di same way wey e dey capture audio. Di difference na say di stream dey set as output stream, and data dey read from di audio data and e dey push go di stream.
+
+    Instead of hard coding di stream details like di sample rate, e dey read am from di audio data.
+
+1. Change di contents of di `say` function to dis one:
+
+    ```python
+    speech = get_speech(text)
+    play_speech(speech)
+    ```
+
+    Dis code dey change di text to speech as binary audio data, and e dey play di audio.
+
+1. Run di app, and make sure say di function app dey run too. Set some timers, and you go hear one voice wey go talk say your timer don set, then another voice wey go talk wen di timer don finish.
+
+    If you dey get `Invalid sample rate` errors, change di `playback_format` as we don talk before.
+
+> 💁 You fit find dis code for di [code-spoken-response/pi](../../../../../6-consumer/lessons/3-spoken-feedback/code-spoken-response/pi) folder.
+
+😀 Your timer program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don bin translet wit AI translet service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am correct, abeg make you sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md
new file mode 100644
index 000000000..6b8b9816e
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md
@@ -0,0 +1,142 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "64ad4ddb4de81a18b7252e968f10b404",
+  "translation_date": "2025-11-18T19:13:35+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md",
+  "language_code": "pcm"
+}
+-->
+# Set timer - Virtual IoT Hardware and Raspberry Pi
+
+For dis part of di lesson, you go call your serverless code to sabi di speech, and set timer for your virtual IoT device or Raspberry Pi based on di result.
+
+## Set timer
+
+Di text wey go come back from di speech to text call need to dey send go your serverless code make e process am with LUIS, wey go return di number of seconds for di timer. Dis number of seconds fit dey use to set timer.
+
+You fit set timer using Python `threading.Timer` class. Dis class dey take delay time and one function, and after di delay time, di function go run.
+
+### Task - send di text go di serverless function
+
+1. Open di `smart-timer` project for VS Code, and make sure say di virtual environment dey load for di terminal if you dey use virtual IoT device.
+
+1. For di top of di `process_text` function, declare one function wey dem go call `get_timer_time` to call di REST endpoint wey you create:
+
+    ```python
+    def get_timer_time(text):
+    ```
+
+1. Add di code wey dey below to dis function to define di URL wey you go call:
+
+    ```python
+    url = '<URL>'
+    ```
+
+    Change `<URL>` to di URL of your REST endpoint wey you build for di last lesson, whether e dey for your computer or for di cloud.
+
+1. Add di code wey dey below to set di text as property wey dem go pass as JSON for di call:
+
+    ```python
+    body = {
+        'text': text
+    }
+    
+    response = requests.post(url, json=body)
+    ```
+
+1. For di bottom of dis, collect di `seconds` from di response payload, return 0 if di call no work:
+
+    ```python
+    if response.status_code != 200:
+        return 0
+    
+    payload = response.json()
+    return payload['seconds']
+    ```
+
+    Successful HTTP calls dey return status code for di 200 range, and your serverless code dey return 200 if di text dey process and dem recognize am as di set timer intent.
+
+### Task - set timer for background thread
+
+1. Add di import statement wey dey below for di top of di file to import di threading Python library:
+
+    ```python
+    import threading
+    ```
+
+1. For di top of di `process_text` function, add one function to talk response. For now, e go just write for di console, but later for dis lesson e go talk di text.
+
+    ```python
+    def say(text):
+        print(text)
+    ```
+
+1. For di bottom of dis, add one function wey timer go call to announce say di timer don finish:
+
+    ```python
+    def announce_timer(minutes, seconds):
+        announcement = 'Times up on your '
+        if minutes > 0:
+            announcement += f'{minutes} minute '
+        if seconds > 0:
+            announcement += f'{seconds} second '
+        announcement += 'timer.'
+        say(announcement)
+    ```
+
+    Dis function dey take di number of minutes and seconds for di timer, and e go build one sentence to talk say di timer don finish. E go check di number of minutes and seconds, and e go only include each time unit if e get number. For example, if di number of minutes na 0, e go only include seconds for di message. Dis sentence go then dey send go di `say` function.
+
+1. For di bottom of dis, add di `create_timer` function wey dey below to create timer:
+
+    ```python
+    def create_timer(total_seconds):
+        minutes, seconds = divmod(total_seconds, 60)
+        threading.Timer(total_seconds, announce_timer, args=[minutes, seconds]).start()
+    ```
+
+    Dis function dey take di total number of seconds for di timer wey dem go send for di command, and e go convert am to minutes and seconds. E go then create and start timer object using di total number of seconds, pass di `announce_timer` function and one list wey get di minutes and seconds. When di timer finish, e go call di `announce_timer` function, and e go pass di content of dis list as di parameters - so di first item for di list go dey pass as di `minutes` parameter, and di second item as di `seconds` parameter.
+
+1. For di end of di `create_timer` function, add some code to build one message wey dem go talk to di user to announce say di timer dey start:
+
+    ```python
+    announcement = ''
+    if minutes > 0:
+        announcement += f'{minutes} minute '
+    if seconds > 0:
+        announcement += f'{seconds} second '    
+    announcement += 'timer started.'
+    say(announcement)
+    ```
+
+    Again, e go only include di time unit wey get value. Dis sentence go then dey send go di `say` function.
+
+1. Add di code wey dey below to di end of di `process_text` function to collect di time for di timer from di text, then create di timer:
+
+    ```python
+    seconds = get_timer_time(text)
+    if seconds > 0:
+        create_timer(seconds)
+    ```
+
+    Di timer go only dey create if di number of seconds big pass 0.
+
+1. Run di app, and make sure say di function app dey run too. Set some timers, and di output go show say di timer dey set, and e go show when e finish:
+
+    ```output
+    pi@raspberrypi:~/smart-timer $ python3 app.py 
+    Set a two minute 27 second timer.
+    2 minute 27 second timer started.
+    Times up on your 2 minute 27 second timer.
+    ```
+
+> 💁 You fit find dis code for di [code-timer/pi](../../../../../6-consumer/lessons/3-spoken-feedback/code-timer/pi) or [code-timer/virtual-iot-device](../../../../../6-consumer/lessons/3-spoken-feedback/code-timer/virtual-iot-device) folder.
+
+😀 Your timer program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am correct, abeg make you sabi say transleshion wey machine do fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/virtual-device-text-to-speech.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/virtual-device-text-to-speech.md
new file mode 100644
index 000000000..64bb657b9
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/3-spoken-feedback/virtual-device-text-to-speech.md
@@ -0,0 +1,90 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "7966848a1f870e4c42edb4db67b13c57",
+  "translation_date": "2025-11-18T19:16:59+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/virtual-device-text-to-speech.md",
+  "language_code": "pcm"
+}
+-->
+# Text to speech - Virtual IoT device
+
+For dis part of di lesson, you go write code wey go change text to speech using di speech service.
+
+## Change text to speech
+
+Di speech services SDK wey you use for di last lesson to change speech to text fit also change text back to speech. Wen you dey request speech, you go need provide di voice wey you wan use because speech fit dey generated with different voices.
+
+Each language get different voices wey e support, and you fit get di list of di voices wey each language support from di speech services SDK.
+
+### Task - change text to speech
+
+1. Open di `smart-timer` project for VS Code, and make sure say di virtual environment dey loaded for di terminal.
+
+1. Import di `SpeechSynthesizer` from di `azure.cognitiveservices.speech` package by adding am to di imports wey dey already:
+
+    ```python
+    from azure.cognitiveservices.speech import SpeechConfig, SpeechRecognizer, SpeechSynthesizer
+    ```
+
+1. For di top of di `say` function, create one speech configuration wey go work with di speech synthesizer:
+
+    ```python
+    speech_config = SpeechConfig(subscription=speech_api_key,
+                                 region=location)
+    speech_config.speech_synthesis_language = language
+    speech_synthesizer = SpeechSynthesizer(speech_config=speech_config)
+    ```
+
+    Dis one dey use di same API key, location and language wey di recognizer dey use.
+
+1. For di bottom of dis one, add di code wey dey below to get one voice and set am for di speech config:
+
+    ```python
+    voices = speech_synthesizer.get_voices_async().get().voices
+    first_voice = next(x for x in voices if x.locale.lower() == language.lower())
+    speech_config.speech_synthesis_voice_name = first_voice.short_name
+    ```
+
+    Dis one dey collect list of all di available voices, then e go find di first voice wey match di language wey dem dey use.
+
+    > 💁 You fit get di full list of di voices wey dem support from di [Language and voice support documentation on Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#text-to-speech). If you wan use one specific voice, you fit remove dis function and just put di voice name from di documentation. Example:
+    >
+    > ```python
+    > speech_config.speech_synthesis_voice_name = 'hi-IN-SwaraNeural'
+    > ```
+
+1. Update wetin dey inside di `say` function to generate SSML for di response:
+
+    ```python
+    ssml =  f'<speak version=\'1.0\' xml:lang=\'{language}\'>'
+    ssml += f'<voice xml:lang=\'{language}\' name=\'{first_voice.short_name}\'>'
+    ssml += text
+    ssml += '</voice>'
+    ssml += '</speak>'
+    ```
+
+1. For di bottom of dis one, stop di speech recognition, talk di SSML, then start di recognition again:
+
+    ```python
+    recognizer.stop_continuous_recognition()
+    speech_synthesizer.speak_ssml(ssml)
+    recognizer.start_continuous_recognition()
+    ```
+
+    Di recognition dey stop while di text dey spoken so dat di announcement of di timer wey dey start no go dey detected, sent to LUIS and fit dey interpreted as request to set new timer.
+
+    > 💁 You fit test dis one by commenting out di lines wey dey stop and restart di recognition. Set one timer, and you fit notice say di announcement go set new timer, wey go cause new announcement, wey go lead to new timer, and e go continue like dat forever!
+
+1. Run di app, and make sure say di function app dey run too. Set some timers, and you go hear spoken response wey go talk say your timer don set, then another spoken response wen di timer don complete.
+
+> 💁 You fit find dis code for di [code-spoken-response/virtual-iot-device](../../../../../6-consumer/lessons/3-spoken-feedback/code-spoken-response/virtual-iot-device) folder.
+
+😀 Your timer program na success!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make di transle-shon correct, abeg make you sabi say AI transle-shon fit get mistake or no dey accurate well. Di original dokyument for im native language na di one wey you go take as di correct source. For any important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md
new file mode 100644
index 000000000..deaa30dc0
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md
@@ -0,0 +1,303 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "012b69d57d898d670adf61304f42a137",
+  "translation_date": "2025-11-18T19:15:58+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md",
+  "language_code": "pcm"
+}
+-->
+# Set timer - Wio Terminal
+
+For dis part of di lesson, you go call your serverless code to sabi di speech, and set timer for your Wio Terminal based on di result.
+
+## Set timer
+
+Di text wey go come back from di speech to text call need to go your serverless code make e process am with LUIS, wey go return di number of seconds for di timer. Dis number of seconds fit dey use set timer.
+
+Microcontrollers no dey support multiple threads for Arduino normally, so e no get standard timer classes like di one wey you fit see when you dey code for Python or other high-level languages. Instead, you fit use timer libraries wey dey work by measuring di time wey don pass for di `loop` function, and e go call functions when di time don finish.
+
+### Task - send di text go di serverless function
+
+1. Open di `smart-timer` project for VS Code if e never dey open.
+
+1. Open di `config.h` header file and add di URL for your function app:
+
+    ```cpp
+    const char *TEXT_TO_TIMER_FUNCTION_URL = "<URL>";
+    ```
+
+    Change `<URL>` to di URL for your function app wey you get for di last step of di last lesson, wey dey point to di IP address of your local machine wey dey run di function app.
+
+1. Create new file for di `src` folder wey you go call `language_understanding.h`. Dis one go dey use define class wey go send di speech wey dem recognize go your function app to convert am to seconds using LUIS.
+
+1. Add dis one for di top of dis file:
+
+    ```cpp
+    #pragma once
+    
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <WiFiClient.h>
+    
+    #include "config.h"
+    ```
+
+    Dis one include some header files wey you need.
+
+1. Define class wey you go call `LanguageUnderstanding`, and declare one instance of dis class:
+
+    ```cpp
+    class LanguageUnderstanding
+    {
+    public:
+    private:
+    };
+
+    LanguageUnderstanding languageUnderstanding;
+    ```
+
+1. To call your functions app, you need declare WiFi client. Add dis one for di `private` section of di class:
+
+    ```cpp
+    WiFiClient _client;
+    ```
+
+1. For di `public` section, declare method wey you go call `GetTimerDuration` to call di functions app:
+
+    ```cpp
+    int GetTimerDuration(String text)
+    {
+    }
+    ```
+
+1. For di `GetTimerDuration` method, add dis code to build di JSON wey you go send go di functions app:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["text"] = text;
+
+    String body;
+    serializeJson(doc, body);
+    ```
+
+    Dis one dey convert di text wey dem pass to di `GetTimerDuration` method into dis JSON:
+
+    ```json
+    {
+        "text" : "<text>"
+    }
+    ```
+
+    wey `<text>` na di text wey dem pass to di function.
+
+1. Under dis one, add dis code to make di functions app call:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, TEXT_TO_TIMER_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+    Dis one dey make POST request go di functions app, dey pass di JSON body and dey get di response code.
+
+1. Add dis code under dis one:
+
+    ```cpp
+    int seconds = 0;
+    if (httpResponseCode == 200)
+    {
+        String result = httpClient.getString();
+        Serial.println(result);
+
+        DynamicJsonDocument doc(1024);
+        deserializeJson(doc, result.c_str());
+
+        JsonObject obj = doc.as<JsonObject>();
+        seconds = obj["seconds"].as<int>();
+    }
+    else
+    {
+        Serial.print("Failed to understand text - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+    Dis code dey check di response code. If e be 200 (success), di number of seconds for di timer go dey retrieve from di response body. If e no be 200, error go dey send go di serial monitor and di number of seconds go dey set to 0.
+
+1. Add dis code for di end of dis method to close di HTTP connection and return di number of seconds:
+
+    ```cpp
+    httpClient.end();
+
+    return seconds;
+    ```
+
+1. For di `main.cpp` file, include dis new header:
+
+    ```cpp
+    #include "speech_to_text.h"
+    ```
+
+1. For di end of di `processAudio` function, call di `GetTimerDuration` method to get di timer duration:
+
+    ```cpp
+    int total_seconds = languageUnderstanding.GetTimerDuration(text);
+    ```
+
+    Dis one dey convert di text from di call to di `SpeechToText` class into di number of seconds for di timer.
+
+### Task - set timer
+
+Di number of seconds fit dey use set timer.
+
+1. Add dis library dependency to di `platformio.ini` file to add library wey go set timer:
+
+    ```ini
+    contrem/arduino-timer @ 2.3.0
+    ```
+
+1. Add include directive for dis library to di `main.cpp` file:
+
+    ```cpp
+    #include <arduino-timer.h>
+    ```
+
+1. For di top of di `processAudio` function, add dis code:
+
+    ```cpp
+    auto timer = timer_create_default();
+    ```
+
+    Dis code dey declare timer wey dem call `timer`.
+
+1. Under dis one, add dis code:
+
+    ```cpp
+    void say(String text)
+    {
+        Serial.print("Saying ");
+        Serial.println(text);
+    }
+    ```
+
+    Dis `say` function go later convert text to speech, but for now e go just write di text wey dem pass to di serial monitor.
+
+1. Under di `say` function, add dis code:
+
+    ```cpp
+    bool timerExpired(void *announcement)
+    {
+        say((char *)announcement);
+        return false;
+    }
+    ```
+
+    Dis na callback function wey dem go call when timer don finish. E dey pass message wey e go talk when timer don finish. Timers fit repeat, and dis one fit dey control by di return value of dis callback - dis one dey return `false`, to tell di timer make e no run again.
+
+1. Add dis code for di end of di `processAudio` function:
+
+    ```cpp
+    if (total_seconds == 0)
+    {
+        return;
+    }
+
+    int minutes = total_seconds / 60;
+    int seconds = total_seconds % 60;
+    ```
+
+    Dis code dey check di total number of seconds, and if e be 0, e go return from di function call so no timer go dey set. E go then convert di total number of seconds into minutes and seconds.
+
+1. Under dis code, add dis one to create message wey e go talk when timer don start:
+
+    ```cpp
+    String begin_message;
+    if (minutes > 0)
+    {
+        begin_message += minutes;
+        begin_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        begin_message += seconds;
+        begin_message += " second ";
+    }
+
+    begin_message += "timer started.";
+    ```
+
+1. Under dis one, add similar code to create message wey e go talk when timer don finish:
+
+    ```cpp
+    String end_message("Times up on your ");
+    if (minutes > 0)
+    {
+        end_message += minutes;
+        end_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        end_message += seconds;
+        end_message += " second ";
+    }
+
+    end_message += "timer.";
+    ```
+
+1. After dis one, talk di timer start message:
+
+    ```cpp
+    say(begin_message);
+    ```
+
+1. For di end of dis function, start di timer:
+
+    ```cpp
+    timer.in(total_seconds * 1000, timerExpired, (void *)(end_message.c_str()));
+    ```
+
+    Dis one dey trigger di timer. Di timer dey set using milliseconds, so di total number of seconds dey multiply by 1,000 to convert to milliseconds. Di `timerExpired` function dey pass as di callback, and di `end_message` dey pass as argument wey dem go pass to di callback. Dis callback only dey take `void *` arguments, so dem go convert di string well.
+
+1. Finally, di timer need to *tick*, and dis one dey happen for di `loop` function. Add dis code for di end of di `loop` function:
+
+    ```cpp
+    timer.tick();
+    ```
+
+1. Build dis code, upload am to your Wio Terminal and test am through di serial monitor. Once you see `Ready` for di serial monitor, press di C button (di one wey dey left-hand side, close to di power switch), and talk. 4 seconds of audio go dey capture, convert to text, then send go your function app, and timer go dey set. Make sure say your functions app dey run locally.
+
+    You go see when di timer start, and when e finish.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    Ready.
+    Starting recording...
+    Finished recording
+    Sending speech...
+    Speech sent!
+    {"RecognitionStatus":"Success","DisplayText":"Set a 2 minute and 27 second timer.","Offset":4700000,"Duration":35300000}
+    Set a 2 minute and 27 second timer.
+    {"seconds": 147}
+    2 minute 27 second timer started.
+    Times up on your 2 minute 27 second timer.
+    ```
+
+> 💁 You fit find dis code for di [code-timer/wio-terminal](../../../../../6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal) folder.
+
+😀 Your timer program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu wey you dey see don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg no forget say machine translation fit get mistake or no too accurate. Di original docu for di language wey dem first write am na di main correct one. If na important matter, e go better make you use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md b/translations/pcm/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md
new file mode 100644
index 000000000..cd294a416
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md
@@ -0,0 +1,538 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "a202fa5889790a3777bfc33dd9f4b459",
+  "translation_date": "2025-11-18T19:12:30+00:00",
+  "source_file": "6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md",
+  "language_code": "pcm"
+}
+-->
+# Text to speech - Wio Terminal
+
+For dis part of di lesson, you go change text to speech so e go fit give spoken feedback.
+
+## Text to speech
+
+Di speech services SDK wey you use for di last lesson to change speech to text fit also change text back to speech.
+
+## Get list of voices
+
+When you dey request speech, you go need provide di voice wey you wan use because speech fit dey generate with different voices. Each language get different voices wey e support, and you fit get di list of voices wey dey available for each language from di speech services SDK. But di microcontroller get limitation - di call wey go get di list of voices wey text to speech services support na JSON document wey big reach 77KB, e too big to process for Wio Terminal. As at di time wey dem write dis, di full list get 215 voices, each one dey define with JSON document like dis:
+
+```json
+{
+    "Name": "Microsoft Server Speech Text to Speech Voice (en-US, AriaNeural)",
+    "DisplayName": "Aria",
+    "LocalName": "Aria",
+    "ShortName": "en-US-AriaNeural",
+    "Gender": "Female",
+    "Locale": "en-US",
+    "StyleList": [
+        "chat",
+        "customerservice",
+        "narration-professional",
+        "newscast-casual",
+        "newscast-formal",
+        "cheerful",
+        "empathetic"
+    ],
+    "SampleRateHertz": "24000",
+    "VoiceType": "Neural",
+    "Status": "GA"
+}
+```
+
+Dis JSON na for di **Aria** voice, wey get plenty voice styles. Wetin you need when you dey change text to speech na di shortname, `en-US-AriaNeural`.
+
+Instead make you download and decode di whole list for your microcontroller, you go need write serverless code wey go retrieve di list of voices for di language wey you dey use, and call am from your Wio Terminal. Your code fit then pick di correct voice from di list, like di first one wey e see.
+
+### Task - create serverless function to get list of voices
+
+1. Open your `smart-timer-trigger` project for VS Code, and open di terminal make sure say di virtual environment dey activated. If e no dey, kill di terminal and create am again.
+
+1. Open di `local.settings.json` file and add di settings for di speech API key and location:
+
+    ```json
+    "SPEECH_KEY": "<key>",
+    "SPEECH_LOCATION": "<location>"
+    ```
+
+    Replace `<key>` with di API key for your speech service resource. Replace `<location>` with di location wey you use when you create di speech service resource.
+
+1. Add new HTTP trigger to dis app wey dem call `get-voices` using dis command from inside di VS Code terminal for di root folder of di functions app project:
+
+    ```sh
+    func new --name get-voices --template "HTTP trigger"
+    ```
+
+    Dis one go create HTTP trigger wey dem call `get-voices`.
+
+1. Replace di content of di `__init__.py` file for di `get-voices` folder with dis:
+
+    ```python
+    import json
+    import os
+    import requests
+    
+    import azure.functions as func
+    
+    def main(req: func.HttpRequest) -> func.HttpResponse:
+        location = os.environ['SPEECH_LOCATION']
+        speech_key = os.environ['SPEECH_KEY']
+    
+        req_body = req.get_json()
+        language = req_body['language']
+    
+        url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/voices/list'
+    
+        headers = {
+            'Ocp-Apim-Subscription-Key': speech_key
+        }
+    
+        response = requests.get(url, headers=headers)
+        voices_json = json.loads(response.text)
+    
+        voices = filter(lambda x: x['Locale'].lower() == language.lower(), voices_json)
+        voices = map(lambda x: x['ShortName'], voices)
+    
+        return func.HttpResponse(json.dumps(list(voices)), status_code=200)
+    ```
+
+    Dis code dey make HTTP request to di endpoint wey go get di voices. Di voices list na big JSON block wey get voices for all languages, so di voices for di language wey dem pass for di request body go dey filter out, then di shortname go dey extract and return as JSON list. Di shortname na di value wey you need to change text to speech, so na only dis value dem go return.
+
+    > 💁 You fit change di filter as you like to select di voices wey you want.
+
+    Dis one go reduce di size of di data from 77KB (as at di time wey dem write am), to smaller JSON document. Example, for US voices na 408 bytes.
+
+1. Run your function app locally. You fit then call am using tool like curl di same way wey you test your `text-to-timer` HTTP trigger. Make sure say you pass your language as JSON body:
+
+    ```json
+    {
+        "language":"<language>"
+    }
+    ```
+
+    Replace `<language>` with your language, like `en-GB`, or `zh-CN`.
+
+> 💁 You fit find dis code for di [code-spoken-response/functions](../../../../../6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions) folder.
+
+### Task - retrieve di voice from your Wio Terminal
+
+1. Open di `smart-timer` project for VS Code if e never open.
+
+1. Open di `config.h` header file and add di URL for your function app:
+
+    ```cpp
+    const char *GET_VOICES_FUNCTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` with di URL for di `get-voices` HTTP trigger for your function app. Dis one go be di same as di value for `TEXT_TO_TIMER_FUNCTION_URL`, but di function name go be `get-voices` instead of `text-to-timer`.
+
+1. Create new file for di `src` folder wey dem call `text_to_speech.h`. Dis one go dey use to define class wey go change text to speech.
+
+1. Add di following include directives to di top of di new `text_to_speech.h` file:
+
+    ```cpp
+    #pragma once
+
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <Seeed_FS.h>
+    #include <SD/Seeed_SD.h>
+    #include <WiFiClient.h>
+    #include <WiFiClientSecure.h>
+    
+    #include "config.h"
+    #include "speech_to_text.h"
+    ```
+
+1. Add di following code below dis to declare di `TextToSpeech` class, along with instance wey fit dey use for di rest of di application:
+
+    ```cpp
+    class TextToSpeech
+    {
+    public:
+    private:
+    };
+    
+    TextToSpeech textToSpeech;
+    ```
+
+1. To call your functions app, you go need declare WiFi client. Add dis one to di `private` section of di class:
+
+    ```cpp
+    WiFiClient _client;
+    ```
+
+1. For di `private` section, add field for di selected voice:
+
+    ```cpp
+    String _voice;
+    ```
+
+1. For di `public` section, add `init` function wey go get di first voice:
+
+    ```cpp
+    void init()
+    {
+    }
+    ```
+
+1. To get di voices, JSON document go need dey send to di function app with di language. Add dis code to di `init` function to create dis JSON document:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["language"] = LANGUAGE;
+
+    String body;
+    serializeJson(doc, body);
+    ```
+
+1. Next create `HTTPClient`, then use am call di functions app to get di voices, post di JSON document:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, GET_VOICES_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+1. Below dis add code to check di response code, and if e be 200 (success), then extract di list of voices, retrieve di first one from di list:
+
+    ```cpp
+    if (httpResponseCode == 200)
+    {
+        String result = httpClient.getString();
+        Serial.println(result);
+
+        DynamicJsonDocument doc(1024);
+        deserializeJson(doc, result.c_str());
+
+        JsonArray obj = doc.as<JsonArray>();
+        _voice = obj[0].as<String>();
+
+        Serial.print("Using voice ");
+        Serial.println(_voice);
+    }
+    else
+    {
+        Serial.print("Failed to get voices - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+1. After dis, end di HTTP client connection:
+
+    ```cpp
+    httpClient.end();
+    ```
+
+1. Open di `main.cpp` file, and add di following include directive for di top to include dis new header file:
+
+    ```cpp
+    #include "text_to_speech.h"
+    ```
+
+1. For di `setup` function, under di call to `speechToText.init();`, add dis one to initialize di `TextToSpeech` class:
+
+    ```cpp
+    textToSpeech.init();
+    ```
+
+1. Build dis code, upload am to your Wio Terminal and test am through di serial monitor. Make sure say your function app dey run.
+
+    You go see di list of available voices wey di function app return, along with di selected voice.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    ["en-US-JennyNeural", "en-US-JennyMultilingualNeural", "en-US-GuyNeural", "en-US-AriaNeural", "en-US-AmberNeural", "en-US-AnaNeural", "en-US-AshleyNeural", "en-US-BrandonNeural", "en-US-ChristopherNeural", "en-US-CoraNeural", "en-US-ElizabethNeural", "en-US-EricNeural", "en-US-JacobNeural", "en-US-MichelleNeural", "en-US-MonicaNeural", "en-US-AriaRUS", "en-US-BenjaminRUS", "en-US-GuyRUS", "en-US-ZiraRUS"]
+    Using voice en-US-JennyNeural
+    Ready.
+    ```
+
+## Change text to speech
+
+Once you get voice wey you wan use, e fit dey use to change text to speech. Di same memory limitation wey dey with voices also dey apply when you dey change speech to text, so you go need write di speech to SD card make e ready to play over di ReSpeaker.
+
+> 💁 For di earlier lessons for dis project, you use flash memory to store speech wey microphone capture. Dis lesson dey use SD card because e dey easier to play audio from am using di Seeed audio libraries.
+
+Another limitation dey wey you go need consider, na di available audio data from di speech service, and di formats wey di Wio Terminal dey support. Unlike full computers, audio libraries for microcontrollers fit dey very limited for di audio formats wey dem dey support. Example, di Seeed Arduino Audio library wey fit play sound over di ReSpeaker only dey support audio wey get 44.1KHz sample rate. Di Azure speech services fit provide audio for plenty formats, but none of dem dey use dis sample rate, dem only dey provide 8KHz, 16KHz, 24KHz and 48KHz. Dis mean say di audio go need re-sample to 44.1KHz, something wey go need more resources wey di Wio Terminal no get, especially memory.
+
+When you need manipulate data like dis, e better make you use serverless code, especially if di data dey come through web call. Di Wio Terminal fit call serverless function, pass di text wey e wan change, and di serverless function fit call di speech service to change text to speech, as well as re-sample di audio to di sample rate wey e need. E fit then return di audio for di form wey di Wio Terminal need to store am for di SD card and play am over di ReSpeaker.
+
+### Task - create serverless function to change text to speech
+
+1. Open your `smart-timer-trigger` project for VS Code, and open di terminal make sure say di virtual environment dey activated. If e no dey, kill di terminal and create am again.
+
+1. Add new HTTP trigger to dis app wey dem call `text-to-speech` using dis command from inside di VS Code terminal for di root folder of di functions app project:
+
+    ```sh
+    func new --name text-to-speech --template "HTTP trigger"
+    ```
+
+    Dis one go create HTTP trigger wey dem call `text-to-speech`.
+
+1. Di [librosa](https://librosa.org) Pip package get functions to re-sample audio, so add dis one to di `requirements.txt` file:
+
+    ```sh
+    librosa
+    ```
+
+    Once you don add am, install di Pip packages using dis command from di VS Code terminal:
+
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+    > ⚠️ If you dey use Linux, including Raspberry Pi OS, you fit need install `libsndfile` with dis command:
+    >
+    > ```sh
+    > sudo apt update
+    > sudo apt install libsndfile1-dev
+    > ```
+
+1. To change text to speech, you no fit use di speech API key directly, instead you go need request access token, use di API key to authenticate di access token request. Open di `__init__.py` file from di `text-to-speech` folder and replace all di code inside am with dis:
+
+    ```python
+    import io
+    import os
+    import requests
+    
+    import librosa
+    import soundfile as sf
+    import azure.functions as func
+    
+    location = os.environ['SPEECH_LOCATION']
+    speech_key = os.environ['SPEECH_KEY']
+    
+    def get_access_token():
+        headers = {
+            'Ocp-Apim-Subscription-Key': speech_key
+        }
+    
+        token_endpoint = f'https://{location}.api.cognitive.microsoft.com/sts/v1.0/issuetoken'
+        response = requests.post(token_endpoint, headers=headers)
+        return str(response.text)
+    ```
+
+    Dis one dey define constants for di location and speech key wey dem go read from di settings. E then dey define di `get_access_token` function wey go retrieve access token for di speech service.
+
+1. Below dis code, add di following:
+
+    ```python
+    playback_format = 'riff-48khz-16bit-mono-pcm'
+
+    def main(req: func.HttpRequest) -> func.HttpResponse:
+        req_body = req.get_json()
+        language = req_body['language']
+        voice = req_body['voice']
+        text = req_body['text']
+    
+        url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/v1'
+    
+        headers = {
+            'Authorization': 'Bearer ' + get_access_token(),
+            'Content-Type': 'application/ssml+xml',
+            'X-Microsoft-OutputFormat': playback_format
+        }
+    
+        ssml =  f'<speak version=\'1.0\' xml:lang=\'{language}\'>'
+        ssml += f'<voice xml:lang=\'{language}\' name=\'{voice}\'>'
+        ssml += text
+        ssml += '</voice>'
+        ssml += '</speak>'
+    
+        response = requests.post(url, headers=headers, data=ssml.encode('utf-8'))
+    
+        raw_audio, sample_rate = librosa.load(io.BytesIO(response.content), sr=48000)
+        resampled = librosa.resample(raw_audio, sample_rate, 44100)
+        
+        output_buffer = io.BytesIO()
+        sf.write(output_buffer, resampled, 44100, 'PCM_16', format='wav')
+        output_buffer.seek(0)
+    
+        return func.HttpResponse(output_buffer.read(), status_code=200)
+    ```
+
+    Dis one dey define di HTTP trigger wey dey change di text to speech. E dey extract di text wey e wan change, di language and di voice from di JSON body wey dem set for di request, build some SSML to request di speech, then call di REST API wey dey authenticate using di access token. Dis REST API call dey return di audio wey dem encode as 16-bit, 48KHz mono WAV file, wey di value of `playback_format` dey define, wey dem send to di REST API call.
+
+    Dis one then dey re-sample by `librosa` from sample rate of 48KHz to sample rate of 44.1KHz, then dis audio dey save to binary buffer wey dem go return.
+
+1. Run your function app locally, or deploy am to di cloud. You fit then call am using tool like curl di same way wey you test your `text-to-timer` HTTP trigger. Make sure say you pass di language, voice and text as di JSON body:
+
+    ```json
+    {
+        "language": "<language>",
+        "voice": "<voice>",
+        "text": "<text>"
+    }
+    ```
+
+    Replace `<language>` with your language, like `en-GB`, or `zh-CN`. Replace `<voice>` with di voice wey you wan use. Replace `<text>` with di text wey you wan change to speech. You fit save di output to file and play am with any audio player wey fit play WAV files.
+
+    Example, to change "Hello" to speech using US English with di Jenny Neural voice, with di function app wey dey run locally, you fit use dis curl command:
+
+    ```sh
+    curl -X GET 'http://localhost:7071/api/text-to-speech' \
+         -H 'Content-Type: application/json' \
+         -o hello.wav \
+         -d '{
+           "language":"en-US",
+           "voice": "en-US-JennyNeural",
+           "text": "Hello"
+         }'
+    ```
+
+    Dis one go save di audio to `hello.wav` for di current directory.
+
+> 💁 You fit find dis code for di [code-spoken-response/functions](../../../../../6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions) folder.
+
+### Task - retrieve di speech from your Wio Terminal
+
+1. Open di `smart-timer` project for VS Code if e never open.
+
+1. Open di `config.h` header file and add di URL for your function app:
+
+    ```cpp
+    const char *TEXT_TO_SPEECH_FUNCTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` with di URL for di `text-to-speech` HTTP trigger for your function app. Dis one go be di same as di value for `TEXT_TO_TIMER_FUNCTION_URL`, but di function name go be `text-to-speech` instead of `text-to-timer`.
+
+1. Open di `text_to_speech.h` header file, and add di following method to di `public` section of di `TextToSpeech` class:
+
+    ```cpp
+    void convertTextToSpeech(String text)
+    {
+    }
+    ```
+
+1. To di `convertTextToSpeech` method, add di following code to create di JSON wey go send to di function app:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["language"] = LANGUAGE;
+    doc["voice"] = _voice;
+    doc["text"] = text;
+
+    String body;
+    serializeJson(doc, body);
+    ```
+
+    Dis one dey write di language, voice and text to di JSON document, then serialize am to string.
+
+1. Below dis, add di following code to call di function app:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, TEXT_TO_SPEECH_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+    Dis one dey create HTTPClient, then make POST request using di JSON document to di text to speech HTTP trigger.
+
+1. If di call work, di raw binary data wey di function app call return fit dey stream to file for di SD card. Add dis code to do dis:
+
+    ```cpp
+    if (httpResponseCode == 200)
+    {            
+        File wav_file = SD.open("SPEECH.WAV", FILE_WRITE);
+        httpClient.writeToStream(&wav_file);
+        wav_file.close();
+    }
+    else
+    {
+        Serial.print("Failed to get speech - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+    Dis code dey check di response, and if e be 200 (success), di binary data dey stream to file for di root of di SD Card wey dem call `SPEECH.WAV`.
+
+1. For di end of dis method, close di HTTP connection:
+
+    ```cpp
+    httpClient.end();
+    ```
+
+1. Di text wey you wan talk fit now turn to audio. For di `main.cpp` file, add dis line for di end of di `say` function to turn di text wey you wan talk to audio:
+
+    ```cpp
+    textToSpeech.convertTextToSpeech(text);
+    ```
+
+### Task - play audio from your Wio Terminal
+
+**E go soon ready**
+
+## How to carry your functions app go cloud
+
+Di reason why we dey run di functions app for local na because di `librosa` Pip package for linux get one dependency wey dey need one library wey no dey install by default, and you go need install am before di function app fit run. Function apps no dey use server - you no fit manage server by yourself, so you no fit install dis library before di app go run.
+
+Di way to do am na to carry your functions app go cloud by using Docker container. Dis container go dey deploy by di cloud anytime e need to start new instance of your function app (like if di demand don pass di resources wey dey available, or if di function app never dey use for some time and dem don close am).
+
+You fit find di instructions to set up function app and deploy am with Docker for di [create a function on Linux using a custom container documentation on Microsoft Docs](https://docs.microsoft.com/azure/azure-functions/functions-create-function-linux-custom-image?WT.mc_id=academic-17441-jabenn&tabs=bash%2Cazurecli&pivots=programming-language-python).
+
+Once you don deploy am, you fit move your Wio Terminal code to fit access dis function:
+
+1. Add di Azure Functions certificate to `config.h`:
+
+    ```cpp
+    const char *FUNCTIONS_CERTIFICATE =
+        "-----BEGIN CERTIFICATE-----\r\n"
+        "MIIFWjCCBEKgAwIBAgIQDxSWXyAgaZlP1ceseIlB4jANBgkqhkiG9w0BAQsFADBa\r\n"
+        "MQswCQYDVQQGEwJJRTESMBAGA1UEChMJQmFsdGltb3JlMRMwEQYDVQQLEwpDeWJl\r\n"
+        "clRydXN0MSIwIAYDVQQDExlCYWx0aW1vcmUgQ3liZXJUcnVzdCBSb290MB4XDTIw\r\n"
+        "MDcyMTIzMDAwMFoXDTI0MTAwODA3MDAwMFowTzELMAkGA1UEBhMCVVMxHjAcBgNV\r\n"
+        "BAoTFU1pY3Jvc29mdCBDb3Jwb3JhdGlvbjEgMB4GA1UEAxMXTWljcm9zb2Z0IFJT\r\n"
+        "QSBUTFMgQ0EgMDEwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQCqYnfP\r\n"
+        "mmOyBoTzkDb0mfMUUavqlQo7Rgb9EUEf/lsGWMk4bgj8T0RIzTqk970eouKVuL5R\r\n"
+        "IMW/snBjXXgMQ8ApzWRJCZbar879BV8rKpHoAW4uGJssnNABf2n17j9TiFy6BWy+\r\n"
+        "IhVnFILyLNK+W2M3zK9gheiWa2uACKhuvgCca5Vw/OQYErEdG7LBEzFnMzTmJcli\r\n"
+        "W1iCdXby/vI/OxbfqkKD4zJtm45DJvC9Dh+hpzqvLMiK5uo/+aXSJY+SqhoIEpz+\r\n"
+        "rErHw+uAlKuHFtEjSeeku8eR3+Z5ND9BSqc6JtLqb0bjOHPm5dSRrgt4nnil75bj\r\n"
+        "c9j3lWXpBb9PXP9Sp/nPCK+nTQmZwHGjUnqlO9ebAVQD47ZisFonnDAmjrZNVqEX\r\n"
+        "F3p7laEHrFMxttYuD81BdOzxAbL9Rb/8MeFGQjE2Qx65qgVfhH+RsYuuD9dUw/3w\r\n"
+        "ZAhq05yO6nk07AM9c+AbNtRoEcdZcLCHfMDcbkXKNs5DJncCqXAN6LhXVERCw/us\r\n"
+        "G2MmCMLSIx9/kwt8bwhUmitOXc6fpT7SmFvRAtvxg84wUkg4Y/Gx++0j0z6StSeN\r\n"
+        "0EJz150jaHG6WV4HUqaWTb98Tm90IgXAU4AW2GBOlzFPiU5IY9jt+eXC2Q6yC/Zp\r\n"
+        "TL1LAcnL3Qa/OgLrHN0wiw1KFGD51WRPQ0Sh7QIDAQABo4IBJTCCASEwHQYDVR0O\r\n"
+        "BBYEFLV2DDARzseSQk1Mx1wsyKkM6AtkMB8GA1UdIwQYMBaAFOWdWTCCR1jMrPoI\r\n"
+        "VDaGezq1BE3wMA4GA1UdDwEB/wQEAwIBhjAdBgNVHSUEFjAUBggrBgEFBQcDAQYI\r\n"
+        "KwYBBQUHAwIwEgYDVR0TAQH/BAgwBgEB/wIBADA0BggrBgEFBQcBAQQoMCYwJAYI\r\n"
+        "KwYBBQUHMAGGGGh0dHA6Ly9vY3NwLmRpZ2ljZXJ0LmNvbTA6BgNVHR8EMzAxMC+g\r\n"
+        "LaArhilodHRwOi8vY3JsMy5kaWdpY2VydC5jb20vT21uaXJvb3QyMDI1LmNybDAq\r\n"
+        "BgNVHSAEIzAhMAgGBmeBDAECATAIBgZngQwBAgIwCwYJKwYBBAGCNyoBMA0GCSqG\r\n"
+        "SIb3DQEBCwUAA4IBAQCfK76SZ1vae4qt6P+dTQUO7bYNFUHR5hXcA2D59CJWnEj5\r\n"
+        "na7aKzyowKvQupW4yMH9fGNxtsh6iJswRqOOfZYC4/giBO/gNsBvwr8uDW7t1nYo\r\n"
+        "DYGHPpvnpxCM2mYfQFHq576/TmeYu1RZY29C4w8xYBlkAA8mDJfRhMCmehk7cN5F\r\n"
+        "JtyWRj2cZj/hOoI45TYDBChXpOlLZKIYiG1giY16vhCRi6zmPzEwv+tk156N6cGS\r\n"
+        "Vm44jTQ/rs1sa0JSYjzUaYngoFdZC4OfxnIkQvUIA4TOFmPzNPEFdjcZsgbeEz4T\r\n"
+        "cGHTBPK4R28F44qIMCtHRV55VMX53ev6P3hRddJb\r\n"
+        "-----END CERTIFICATE-----\r\n";
+    ```
+
+1. Change all di `<WiFiClient.h>` to `<WiFiClientSecure.h>`.
+
+1. Change all di `WiFiClient` fields to `WiFiClientSecure`.
+
+1. For every class wey get `WiFiClientSecure` field, add one constructor and set di certificate for dat constructor:
+
+    ```cpp
+    _client.setCACert(FUNCTIONS_CERTIFICATE);
+    ```
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg make you sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for di language wey dem write am first na di main source wey you go trust. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/4-multiple-language-support/README.md b/translations/pcm/6-consumer/lessons/4-multiple-language-support/README.md
new file mode 100644
index 000000000..5cb538480
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/4-multiple-language-support/README.md
@@ -0,0 +1,190 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c16de27b0074abe81d6a8bad5e5b1a6b",
+  "translation_date": "2025-11-18T19:20:07+00:00",
+  "source_file": "6-consumer/lessons/4-multiple-language-support/README.md",
+  "language_code": "pcm"
+}
+-->
+# Support plenty languages
+
+![A sketchnote overview of this lesson](../../../../../translated_images/lesson-24.4246968ed058510ab275052e87ef9aa89c7b2f938915d103c605c04dc6cd5bb7.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+Dis video dey show overview of Azure speech services, e cover speech to text and text to speech from di earlier lessons, plus how to translate speech, wey be di topic for dis lesson:
+
+[![Recognizing speech with a few lines of Python from Microsoft Build 2020](https://img.youtube.com/vi/h6xbpMPSGEA/0.jpg)](https://www.youtube.com/watch?v=h6xbpMPSGEA)
+
+> 🎥 Click di image above to watch di video
+
+## Pre-lecture quiz
+
+[Pre-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/47)
+
+## Introduction
+
+For di last 3 lessons, you don learn how to change speech to text, understand language, and change text to speech, all na AI dey power am. Another area wey AI fit help for human communication na language translation - to change one language to another, like English to French.
+
+For dis lesson, you go learn how to use AI to translate text, so your smart timer fit interact with people for plenty languages.
+
+For dis lesson we go talk about:
+
+* [Translate text](../../../../../6-consumer/lessons/4-multiple-language-support)
+* [Translation services](../../../../../6-consumer/lessons/4-multiple-language-support)
+* [Create a translator resource](../../../../../6-consumer/lessons/4-multiple-language-support)
+* [Support plenty languages for apps with translations](../../../../../6-consumer/lessons/4-multiple-language-support)
+* [Translate text using AI service](../../../../../6-consumer/lessons/4-multiple-language-support)
+
+> 🗑 Dis na di last lesson for dis project, so after you finish dis lesson and di assignment, no forget to clean up your cloud services. You go need di services to finish di assignment, so make sure say you complete am first.
+>
+> Check [di clean up your project guide](../../../clean-up.md) if you need instructions on how to do am.
+
+## Translate text
+
+Text translation na one computer science problem wey dem don dey research for over 70 years, and na now because of AI and computer power e dey almost solve am well well, almost like human translators.
+
+> 💁 Di origin fit trace go back even further, to [Al-Kindi](https://wikipedia.org/wiki/Al-Kindi), one 9th century Arabic cryptographer wey develop techniques for language translation.
+
+### Machine translations
+
+Text translation start as one technology wey dem dey call Machine Translation (MT), wey fit translate between different language pairs. MT dey work by swapping words for one language with another, plus techniques to choose di correct way to translate phrases or parts of sentences when word-for-word translation no make sense.
+
+> 🎓 When translators dey support translation between one language and another, dem dey call am *language pairs*. Different tools dey support different language pairs, and e no dey complete. For example, one translator fit support English to Spanish as language pair, and Spanish to Italian as language pair, but e no go support English to Italian.
+
+For example, to translate "Hello world" from English to French fit be substitution - "Bonjour" for "Hello", and "le monde" for "world", wey go give correct translation "Bonjour le monde".
+
+Substitution no dey work when different languages dey use different ways to talk di same thing. For example, di English sentence "My name is Jim", go translate to "Je m'appelle Jim" for French - e mean "I call myself Jim". "Je" na French for "I", "moi" na me, but e dey join di verb because e start with vowel, so e go be "m'", "appelle" na to call, and "Jim" no dey translate because na name, no be word wey fit translate. Word order fit also be wahala - simple substitution of "Je m'appelle Jim" go be "I myself call Jim", wey get different word order from English.
+
+> 💁 Some words no dey translate - my name na Jim no matter di language wey I use introduce myself. If you dey translate to languages wey dey use different alphabets, or different letters for different sounds, di words fit dey *transliterated*, wey mean dem go choose letters or characters wey go make di sound match di original word.
+
+Idioms na another wahala for translation. Dem be phrases wey get meaning wey no match di direct interpretation of di words. For example, for English di idiom "I've got ants in my pants" no mean say you get ants for your cloth, e mean say you dey restless. If you translate am to German, e go confuse di person wey dey hear am, because di German version na "I have bumble bees in the bottom".
+
+> 💁 Different locales dey add different wahala. For di idiom "ants in your pants", for American English "pants" na outerwear, but for British English, "pants" na underwear.
+
+✅ If you sabi speak plenty languages, think of some phrases wey no dey translate directly.
+
+Machine translation systems dey depend on big databases of rules wey dey describe how to translate certain phrases and idioms, plus statistical methods to choose di correct translations from di options wey dey. Dis statistical methods dey use big databases of works wey humans don translate to plenty languages to choose di most likely translation, dis technique dem dey call *statistical machine translation*. Some of dem dey use intermediate representations of di language, so one language fit translate to di intermediate, then from di intermediate to another language. Dis way, to add more languages go involve translations to and from di intermediate, no be to and from all di other languages.
+
+### Neural translations
+
+Neural translations dey use di power of AI to translate, e dey usually translate whole sentences using one model. Dem dey train dis models with big data sets wey humans don translate, like web pages, books, and United Nations documentation.
+
+Neural translation models dey usually smaller than machine translation models because dem no need big databases of phrases and idioms. Modern AI services wey dey provide translations dey mix plenty techniques, like statistical machine translation and neural translation.
+
+No language pair get 1:1 translation. Different translation models go give slightly different results based on di data wey dem use train di model. Translations no dey always symmetrical - if you translate one sentence from one language to another, then back to di first language, you fit see slightly different sentence as di result.
+
+✅ Try different online translators like [Bing Translate](https://www.bing.com/translator), [Google Translate](https://translate.google.com), or di Apple translate app. Compare di translated versions of some sentences. Also try to translate for one, then translate back for another.
+
+## Translation services
+
+Plenty AI services dey wey you fit use from your apps to translate speech and text.
+
+### Cognitive services Speech service
+
+![Di speech service logo](../../../../../translated_images/azure-speech-logo.a1f08c4befb0159f2cb5d692d3baf5b599e7b44759d316da907bda1508f46a4a.pcm.png)
+
+Di speech service wey you don dey use for di past lessons get translation capabilities for speech recognition. When you dey recognize speech, you fit request di text of di speech for di same language, plus for other languages.
+
+> 💁 Dis one dey only available from di speech SDK, di REST API no get translations inside.
+
+### Cognitive services Translator service
+
+![Di translator service logo](../../../../../translated_images/azure-translator-logo.c6ed3a4a433edfd2f11577eca105412c50b8396b194cbbd730723dd1d0793bcd.pcm.png)
+
+Di Translator service na dedicated translation service wey fit translate text from one language to one or more target languages. Apart from translation, e get plenty extra features like masking bad words. E also allow you provide specific translation for one word or sentence, to work with terms wey you no want translate, or get specific well-known translation.
+
+For example, if you dey translate di sentence "I have a Raspberry Pi", wey dey refer to di single-board computer, to another language like French, you go want keep di name "Raspberry Pi" as e be, no translate am, so e go be "J’ai un Raspberry Pi" instead of "J’ai une pi aux framboises".
+
+## Create a translator resource
+
+For dis lesson, you go need Translator resource. You go use di REST API to translate text.
+
+### Task - create a translator resource
+
+1. From your terminal or command prompt, run di command wey dey below to create translator resource for your `smart-timer` resource group.
+
+    ```sh
+    az cognitiveservices account create --name smart-timer-translator \
+                                        --resource-group smart-timer \
+                                        --kind TextTranslation \
+                                        --sku F0 \
+                                        --yes \
+                                        --location <location>
+    ```
+
+    Replace `<location>` with di location wey you use when you dey create di Resource Group.
+
+1. Get di key for di translator service:
+
+    ```sh
+    az cognitiveservices account keys list --name smart-timer-translator \
+                                           --resource-group smart-timer \
+                                           --output table
+    ```
+
+    Copy one of di keys.
+
+## Support plenty languages for apps with translations
+
+For ideal world, your whole app suppose sabi plenty languages as e fit, from listening to speech, to language understanding, to responding with speech. Dis na plenty work, so translation services fit help you deliver your app faster.
+
+![One smart timer architecture wey dey translate Japanese to English, process am for English then translate back to Japanese](../../../../../translated_images/translated-smart-timer.08ac20057fdc5c3778ed41cb425dca5d7fbcd4584b6da7b73ca67115a5b8a883.pcm.png)
+
+Imagine say you dey build one smart timer wey dey use English from start to finish, e dey understand spoken English and change am to text, e dey run di language understanding for English, e dey build responses for English and reply with English speech. If you wan add support for Japanese, you fit start by translating spoken Japanese to English text, then keep di main part of di app di same, then translate di response text to Japanese before e talk di response. Dis go allow you add Japanese support fast, and you fit expand am later to provide full Japanese support.
+
+> 💁 Di wahala wey dey for machine translation na say different languages and cultures get different ways to talk di same thing, so di translation fit no match di expression wey you dey expect.
+
+Machine translations dey also open possibilities for apps and devices wey fit translate user-created content as dem dey create am. Science fiction dey always show 'universal translators', devices wey fit translate alien languages to (mostly) American English. Dis devices no be science fiction again, na science fact, if you no count di alien part. Apps and devices dey already wey dey provide real-time translation of speech and written text, using combination of speech and translation services.
+
+One example na di [Microsoft Translator](https://www.microsoft.com/translator/apps/?WT.mc_id=academic-17441-jabenn) mobile phone app, wey dem show for dis video:
+
+[![Microsoft Translator live feature in action](https://img.youtube.com/vi/16yAGeP2FuM/0.jpg)](https://www.youtube.com/watch?v=16yAGeP2FuM)
+
+> 🎥 Click di image above to watch di video
+
+Imagine say you get dis kind device, especially when you dey travel or dey interact with people wey you no sabi dia language. If airports or hospitals get automatic translation devices, e go make accessibility better.
+
+✅ Do small research: Any translation IoT devices dey available for market? Wetin about translation features wey dey inside smart devices?
+
+> 👽 Even though we no get true universal translators wey go allow us talk to aliens, di [Microsoft translator dey support Klingon](https://www.microsoft.com/translator/blog/2013/05/14/announcing-klingon-for-bing-translator/?WT.mc_id=academic-17441-jabenn). Qapla’!
+
+## Translate text using AI service
+
+You fit use AI service to add dis translation feature to your smart timer.
+
+### Task - translate text using AI service
+
+Follow di guide wey dey relevant to you to translate text for your IoT device:
+
+* [Arduino - Wio Terminal](wio-terminal-translate-speech.md)
+* [Single-board computer - Raspberry Pi](pi-translate-speech.md)
+* [Single-board computer - Virtual device](virtual-device-translate-speech.md)
+
+---
+
+## 🚀 Challenge
+
+How machine translations fit help other IoT apps apart from smart devices? Think of different ways translations fit help, no be only for spoken words but also for text.
+
+## Post-lecture quiz
+
+[Post-lecture quiz](https://black-meadow-040d15503.1.azurestaticapps.net/quiz/48)
+
+## Review & Self Study
+
+* Read more about machine translation for di [machine translation page for Wikipedia](https://wikipedia.org/wiki/Machine_translation)
+* Read more about neural machine translation for di [neural machine translation page for Wikipedia](https://wikipedia.org/wiki/Neural_machine_translation)
+* Check di list of supported languages for Microsoft speech services for di [language and voice support for di Speech service documentation for Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn)
+
+## Assignment
+
+[Build universal translator](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make sure say e correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/4-multiple-language-support/assignment.md b/translations/pcm/6-consumer/lessons/4-multiple-language-support/assignment.md
new file mode 100644
index 000000000..be4c69c01
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/4-multiple-language-support/assignment.md
@@ -0,0 +1,33 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "701f4a4466f9309b6e1d863077df0c06",
+  "translation_date": "2025-11-18T19:21:53+00:00",
+  "source_file": "6-consumer/lessons/4-multiple-language-support/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# Build universal translator
+
+## Instructions
+
+Universal translator na device wey fit translate between plenty languages, so people wey dey speak different languages fit communicate. Use wetin you don learn for di past few lessons to build universal translator wey go use 2 IoT devices.
+
+> If you no get 2 devices, follow di steps for di previous lessons to set up virtual IoT device as one of di IoT devices.
+
+You go configure one device for one language, and di other one for another language. Each device go collect speech, change am to text, send am go di other device through IoT Hub and Functions app, then translate am and play di translated speech.
+
+> 💁 Tip: When you dey send di speech from one device go di other one, send di language wey e dey inside too, e go make di translation easier. You fit even make each device register with IoT Hub and Functions app first, pass di language wey dem support make e store for Azure Storage. You fit use Functions app to do di translations, send di translated text go di IoT device.
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+| Create universal translator | Fit build universal translator, change speech wey one device detect to speech wey di other device play for different language | Fit make some parts work, like capture speech or translate, but no fit build di full solution | No fit build any part of di universal translator |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main correct source. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md b/translations/pcm/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md
new file mode 100644
index 000000000..7d51a07cc
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md
@@ -0,0 +1,166 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "bbb5aa34221fe129dd3ce4d9ec33831a",
+  "translation_date": "2025-11-18T19:22:19+00:00",
+  "source_file": "6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md",
+  "language_code": "pcm"
+}
+-->
+# Translate speech - Raspberry Pi
+
+For dis part of di lesson, you go write code wey go translate text using di translator service.
+
+## Change text to speech using di translator service
+
+Di speech service REST API no dey support direct translations, but you fit use di Translator service to translate di text wey di speech to text service generate, and di text wey di spoken response get. Dis service get REST API wey you fit use to translate di text.
+
+### Task - use di translator resource to translate text
+
+1. Your smart timer go get 2 languages set - di language of di server wey dem use train LUIS (di same language dem use build di messages wey go talk to di user), and di language wey di user dey speak. Update di `language` variable to be di language wey di user go dey speak, and add new variable wey dem call `server_language` for di language wey dem use train LUIS:
+
+    ```python
+    language = '<user language>'
+    server_language = '<server language>'
+    ```
+
+    Change `<user language>` to di locale name for di language wey you go dey speak, like `fr-FR` for French, or `zn-HK` for Cantonese.
+
+    Change `<server language>` to di locale name for di language wey dem use train LUIS.
+
+    You fit find list of di supported languages and dia locale names for di [Language and voice support documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+    > 💁 If you no sabi speak plenty languages, you fit use service like [Bing Translate](https://www.bing.com/translator) or [Google Translate](https://translate.google.com) to translate from di language wey you sabi to di language wey you choose. Dis services fit play audio of di translated text.
+    >
+    > Example, if you train LUIS for English, but you wan use French as di user language, you fit translate sentences like "set a 2 minute and 27 second timer" from English go French using Bing Translate, then use di **Listen translation** button to talk di translation into your microphone.
+    >
+    > ![Di listen translation button for Bing translate](../../../../../translated_images/bing-translate.348aa796d6efe2a92f41ea74a5cf42bb4c63d6faaa08e7f46924e072a35daa48.pcm.png)
+
+1. Add di translator API key under di `speech_api_key`:
+
+    ```python
+    translator_api_key = '<key>'
+    ```
+
+    Change `<key>` to di API key for your translator service resource.
+
+1. For di top of di `say` function, define one `translate_text` function wey go translate text from di server language go di user language:
+
+    ```python
+    def translate_text(text, from_language, to_language):
+    ```
+
+    Di from and to languages go dey pass to dis function - your app go need convert from user language go server language when e dey recognize speech, and from server language go user language when e dey provide spoken feedback.
+
+1. Inside dis function, define di URL and headers for di REST API call:
+
+    ```python
+    url = f'https://api.cognitive.microsofttranslator.com/translate?api-version=3.0'
+
+    headers = {
+        'Ocp-Apim-Subscription-Key': translator_api_key,
+        'Ocp-Apim-Subscription-Region': location,
+        'Content-type': 'application/json'
+    }
+    ```
+
+    Di URL for dis API no dey location specific, instead di location dey pass as header. Di API key dey use directly, so e no be like di speech service wey need to get access token from di token issuer API.
+
+1. Under dis, define di parameters and body for di call:
+
+    ```python
+    params = {
+        'from': from_language,
+        'to': to_language
+    }
+
+    body = [{
+        'text' : text
+    }]
+    ```
+
+    Di `params` dey define di parameters wey go pass to di API call, e dey pass di from and to languages. Dis call go translate text for di `from` language go di `to` language.
+
+    Di `body` dey contain di text wey dem wan translate. E be array, as e fit translate plenty blocks of text for di same call.
+
+1. Make di call to di REST API, and get di response:
+
+    ```python
+    response = requests.post(url, headers=headers, params=params, json=body)
+    ```
+
+    Di response wey go come back na JSON array, wey get one item wey contain di translations. Dis item get array for translations of all di items wey dem pass for di body.
+
+    ```json
+    [
+        {
+            "translations": [
+                {
+                    "text": "Set a 2 minute 27 second timer.",
+                    "to": "en"
+                }
+            ]
+        }
+    ]
+    ```
+
+1. Return di `test` property from di first translation from di first item for di array:
+
+    ```python
+    return response.json()[0]['translations'][0]['text']
+    ```
+
+1. Update di `while True` loop to translate di text from di call to `convert_speech_to_text` from di user language go di server language:
+
+    ```python
+    if len(text) > 0:
+        print('Original:', text)
+        text = translate_text(text, language, server_language)
+        print('Translated:', text)
+
+        message = Message(json.dumps({ 'speech': text }))
+        device_client.send_message(message)
+    ```
+
+    Dis code dey also print di original and translated versions of di text for di console.
+
+1. Update di `say` function to translate di text wey e go talk from di server language go di user language:
+
+    ```python
+    def say(text):
+        print('Original:', text)
+        text = translate_text(text, server_language, language)
+        print('Translated:', text)
+        speech = get_speech(text)
+        play_speech(speech)
+    ```
+
+    Dis code dey also print di original and translated versions of di text for di console.
+
+1. Run your code. Make sure say your function app dey run, and request timer for di user language, either by speaking dat language yourself, or using translation app.
+
+    ```output
+    pi@raspberrypi:~/smart-timer $ python3 app.py
+    Connecting
+    Connected
+    Using voice fr-FR-DeniseNeural
+    Original: Définir une minuterie de 2 minutes et 27 secondes.
+    Translated: Set a timer of 2 minutes and 27 seconds.
+    Original: 2 minute 27 second timer started.
+    Translated: 2 minute 27 seconde minute a commencé.
+    Original: Times up on your 2 minute 27 second timer.
+    Translated: Chronométrant votre minuterie de 2 minutes 27 secondes.
+    ```
+
+    > 💁 Because of di different ways wey people dey take talk something for different languages, you fit get translations wey dey small different from di examples wey you give LUIS. If e be like dat, add more examples to LUIS, retrain then re-publish di model.
+
+> 💁 You fit find dis code for di [code/pi](../../../../../6-consumer/lessons/4-multiple-language-support/code/pi) folder.
+
+😀 Your multilingual timer program work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for di native language na di main source wey you go trust. For important mata, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md b/translations/pcm/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md
new file mode 100644
index 000000000..f0f30cfda
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md
@@ -0,0 +1,206 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "d620a470d9dd8614d99824832978360a",
+  "translation_date": "2025-11-18T19:21:20+00:00",
+  "source_file": "6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md",
+  "language_code": "pcm"
+}
+-->
+# Translate speech - Virtual IoT Device
+
+For dis part of di lesson, you go write code wey go translate wetin person talk wen e dey convert am to text wit di speech service, den translate di text wit di Translator service before e go generate di spoken response.
+
+## Use di speech service to translate wetin person talk
+
+Di speech service fit take wetin person talk and no just convert am to text for di same language, but e fit also translate di output go oda languages.
+
+### Task - use di speech service to translate wetin person talk
+
+1. Open di `smart-timer` project for VS Code, and make sure say di virtual environment dey load for di terminal.
+
+1. Add di import statements wey dey below di existing imports:
+
+    ```python
+    from azure.cognitiveservices import speech
+    from azure.cognitiveservices.speech.translation import SpeechTranslationConfig, TranslationRecognizer
+    import requests
+    ```
+
+    Dis one go import di classes wey dem dey use to translate wetin person talk, and di `requests` library wey dem go use to make call to di Translator service later for dis lesson.
+
+1. Your smart timer go get 2 languages set - di language of di server wey dem use train LUIS (di same language dem dey use build di messages wey dem dey talk to di user), and di language wey di user dey talk. Update di `language` variable to be di language wey di user go dey talk, and add new variable wey dem call `server_language` for di language wey dem use train LUIS:
+
+    ```python
+    language = '<user language>'
+    server_language = '<server language>'
+    ```
+
+    Replace `<user language>` wit di locale name for di language wey you go dey talk, like `fr-FR` for French, or `zn-HK` for Cantonese.
+
+    Replace `<server language>` wit di locale name for di language wey dem use train LUIS.
+
+    You fit find list of di supported languages and dia locale names for di [Language and voice support documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+    > 💁 If you no sabi talk plenty languages, you fit use service like [Bing Translate](https://www.bing.com/translator) or [Google Translate](https://translate.google.com) to translate from di language wey you sabi to di language wey you choose. Dis services fit play audio of di translated text. But make you know say di speech recognizer go ignore some audio output from your device, so you fit need another device to play di translated text.
+    >
+    > Example, if you train LUIS for English, but you wan use French as di user language, you fit translate sentences like "set a 2 minute and 27 second timer" from English go French wit Bing Translate, den use di **Listen translation** button to talk di translation into your microphone.
+    >
+    > ![Di listen translation button for Bing translate](../../../../../translated_images/bing-translate.348aa796d6efe2a92f41ea74a5cf42bb4c63d6faaa08e7f46924e072a35daa48.pcm.png)
+
+1. Replace di `recognizer_config` and `recognizer` declarations wit dis one:
+
+    ```python
+    translation_config = SpeechTranslationConfig(subscription=speech_api_key,
+                                                 region=location,
+                                                 speech_recognition_language=language,
+                                                 target_languages=(language, server_language))
+    
+    recognizer = TranslationRecognizer(translation_config=translation_config)
+    ```
+
+    Dis one go create translation config to recognize wetin person talk for di user language, and create translations for di user and server language. E go use dis config to create translation recognizer - speech recognizer wey fit translate di output of di speech recognition into plenty languages.
+
+    > 💁 Di original language need to dey specified for di `target_languages`, if not you no go get any translations.
+
+1. Update di `recognized` function, replace di whole content of di function wit dis one:
+
+    ```python
+    if args.result.reason == speech.ResultReason.TranslatedSpeech:
+        language_match = next(l for l in args.result.translations if server_language.lower().startswith(l.lower()))
+        text = args.result.translations[language_match]
+        if (len(text) > 0):
+            print(f'Translated text: {text}')
+    
+            message = Message(json.dumps({ 'speech': text }))
+            device_client.send_message(message)
+    ```
+
+    Dis code dey check if di recognized event fire because dem translate di speech (dis event fit fire for oda times, like wen dem recognize di speech but dem no translate am). If dem translate di speech, e go find di translation for di `args.result.translations` dictionary wey match di server language.
+
+    Di `args.result.translations` dictionary dey use di language part of di locale setting, no be di whole setting. Example, if you request translation into `fr-FR` for French, di dictionary go get entry for `fr`, no be `fr-FR`.
+
+    Di translated text go then dey send go di IoT Hub.
+
+1. Run dis code to test di translations. Make sure say your function app dey run, and request timer for di user language, either by talking dat language yourself, or using translation app.
+
+    ```output
+    (.venv) ➜  smart-timer python app.py
+    Connecting
+    Connected
+    Translated text: Set a timer of 2 minutes and 27 seconds.
+    ```
+
+## Translate text wit di translator service
+
+Di speech service no dey support translation of text back to speech, instead you fit use di Translator service to translate di text. Dis service get REST API wey you fit use to translate di text.
+
+### Task - use di translator resource to translate text
+
+1. Add di translator API key below di `speech_api_key`:
+
+    ```python
+    translator_api_key = '<key>'
+    ```
+
+    Replace `<key>` wit di API key for your translator service resource.
+
+1. Above di `say` function, define `translate_text` function wey go translate text from di server language go di user language:
+
+    ```python
+    def translate_text(text):
+    ```
+
+1. Inside dis function, define di URL and headers for di REST API call:
+
+    ```python
+    url = f'https://api.cognitive.microsofttranslator.com/translate?api-version=3.0'
+
+    headers = {
+        'Ocp-Apim-Subscription-Key': translator_api_key,
+        'Ocp-Apim-Subscription-Region': location,
+        'Content-type': 'application/json'
+    }
+    ```
+
+    Di URL for dis API no dey location specific, instead di location dey pass as header. Di API key dey use directly, so e no be like di speech service wey you need to get access token from di token issuer API.
+
+1. Below dis, define di parameters and body for di call:
+
+    ```python
+    params = {
+        'from': server_language,
+        'to': language
+    }
+
+    body = [{
+        'text' : text
+    }]
+    ```
+
+    Di `params` dey define di parameters wey dem go pass to di API call, passing di from and to languages. Dis call go translate text for di `from` language go di `to` language.
+
+    Di `body` dey contain di text wey dem go translate. E be array, as plenty blocks of text fit dey translated for di same call.
+
+1. Make di call to di REST API, and get di response:
+
+    ```python
+    response = requests.post(url, headers=headers, params=params, json=body)
+    ```
+
+    Di response wey go come back na JSON array, wit one item wey get di translations. Dis item get array for translations of all di items wey dem pass for di body.
+
+    ```json
+    [
+        {
+            "translations": [
+                {
+                    "text": "Chronométrant votre minuterie de 2 minutes 27 secondes.",
+                    "to": "fr"
+                }
+            ]
+        }
+    ]
+    ```
+
+1. Return di `test` property from di first translation from di first item for di array:
+
+    ```python
+    return response.json()[0]['translations'][0]['text']
+    ```
+
+1. Update di `say` function to translate di text wey dem go talk before di SSML dey generate:
+
+    ```python
+    print('Original:', text)
+    text = translate_text(text)
+    print('Translated:', text)
+    ```
+
+    Dis code dey also print di original and translated versions of di text for di console.
+
+1. Run your code. Make sure say your function app dey run, and request timer for di user language, either by talking dat language yourself, or using translation app.
+
+    ```output
+    (.venv) ➜  smart-timer python app.py
+    Connecting
+    Connected
+    Translated text: Set a timer of 2 minutes and 27 seconds.
+    Original: 2 minute 27 second timer started.
+    Translated: 2 minute 27 seconde minute a commencé.
+    Original: Times up on your 2 minute 27 second timer.
+    Translated: Chronométrant votre minuterie de 2 minutes 27 secondes.
+    ```
+
+    > 💁 Because of di different ways wey people dey talk something for different languages, you fit get translations wey dey small different from di examples wey you give LUIS. If dis one happen, add more examples to LUIS, retrain am, then re-publish di model.
+
+> 💁 You fit find dis code for di [code/virtual-iot-device](../../../../../6-consumer/lessons/4-multiple-language-support/code/virtual-iot-device) folder.
+
+😀 Your multilingual timer program na success!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate am wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make sure say e correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main correct source. For important information, e good make you use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md b/translations/pcm/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md
new file mode 100644
index 000000000..b4e283613
--- /dev/null
+++ b/translations/pcm/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md
@@ -0,0 +1,286 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "5f6c164e349f8989959e02a90f37908d",
+  "translation_date": "2025-11-18T19:19:06+00:00",
+  "source_file": "6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md",
+  "language_code": "pcm"
+}
+-->
+# Translate speech - Wio Terminal
+
+For dis part of di lesson, you go write code wey go translate text using di translator service.
+
+## Change text to speech using di translator service
+
+Di speech service REST API no dey support direct translations, but you fit use di Translator service to translate di text wey di speech to text service generate, and di text wey di spoken response dey. Dis service get REST API wey you fit use to translate di text, but to make am easy to use, dem go wrap am inside another HTTP trigger for your functions app.
+
+### Task - create serverless function to translate text
+
+1. Open your `smart-timer-trigger` project for VS Code, and open di terminal make sure say di virtual environment dey activated. If e no dey, close di terminal and open am again.
+
+1. Open di `local.settings.json` file and add settings for di translator API key and location:
+
+    ```json
+    "TRANSLATOR_KEY": "<key>",
+    "TRANSLATOR_LOCATION": "<location>"
+    ```
+
+    Change `<key>` to di API key for your translator service resource. Change `<location>` to di location wey you use when you create di translator service resource.
+
+1. Add new HTTP trigger to dis app wey dem call `translate-text` using dis command from inside di VS Code terminal for di root folder of di functions app project:
+
+    ```sh
+    func new --name translate-text --template "HTTP trigger"
+    ```
+
+    Dis one go create HTTP trigger wey dem call `translate-text`.
+
+1. Change di content of di `__init__.py` file for di `translate-text` folder with dis one:
+
+    ```python
+    import logging
+    import os
+    import requests
+    
+    import azure.functions as func
+    
+    location = os.environ['TRANSLATOR_LOCATION']
+    translator_key = os.environ['TRANSLATOR_KEY']
+    
+    def main(req: func.HttpRequest) -> func.HttpResponse:
+        req_body = req.get_json()
+        from_language = req_body['from_language']
+        to_language = req_body['to_language']
+        text = req_body['text']
+        
+        logging.info(f'Translating {text} from {from_language} to {to_language}')
+    
+        url = f'https://api.cognitive.microsofttranslator.com/translate?api-version=3.0'
+    
+        headers = {
+            'Ocp-Apim-Subscription-Key': translator_key,
+            'Ocp-Apim-Subscription-Region': location,
+            'Content-type': 'application/json'
+        }
+    
+        params = {
+            'from': from_language,
+            'to': to_language
+        }
+    
+        body = [{
+            'text' : text
+        }]
+        
+        response = requests.post(url, headers=headers, params=params, json=body)
+        return func.HttpResponse(response.json()[0]['translations'][0]['text'])
+    ```
+
+    Dis code dey extract di text and di languages from di HTTP request. E go then make request to di translator REST API, pass di languages as parameters for di URL and di text wey dem wan translate as di body. At last, e go return di translation.
+
+1. Run your function app for your computer. You fit call am using tool like curl di same way wey you test your `text-to-timer` HTTP trigger. Make sure say you pass di text wey you wan translate and di languages as JSON body:
+
+    ```json
+    {
+        "text": "Définir une minuterie de 30 secondes",
+        "from_language": "fr-FR",
+        "to_language": "en-US"
+    }
+    ```
+
+    Dis example dey translate *Définir une minuterie de 30 secondes* from French to US English. E go return *Set a 30-second timer*.
+
+> 💁 You fit find dis code for di [code/functions](../../../../../6-consumer/lessons/4-multiple-language-support/code/functions) folder.
+
+### Task - use di translator function to translate text
+
+1. Open di `smart-timer` project for VS Code if e no dey open already.
+
+1. Your smart timer go get 2 languages - di language of di server wey dem use train LUIS (di same language dem use build di messages wey dem go talk to di user), and di language wey di user dey speak. Update di `LANGUAGE` constant for di `config.h` header file to be di language wey di user go dey speak, and add new constant wey dem call `SERVER_LANGUAGE` for di language wey dem use train LUIS:
+
+    ```cpp
+    const char *LANGUAGE = "<user language>";
+    const char *SERVER_LANGUAGE = "<server language>";
+    ```
+
+    Change `<user language>` to di locale name for di language wey you go dey speak, like `fr-FR` for French, or `zn-HK` for Cantonese.
+
+    Change `<server language>` to di locale name for di language wey dem use train LUIS.
+
+    You fit find list of di supported languages and their locale names for di [Language and voice support documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+    > 💁 If you no sabi speak plenty languages, you fit use service like [Bing Translate](https://www.bing.com/translator) or [Google Translate](https://translate.google.com) to translate from your preferred language to di language wey you choose. Dis services fit play audio of di translated text.
+    >
+    > For example, if you train LUIS for English, but you wan use French as di user language, you fit translate sentences like "set a 2 minute and 27 second timer" from English to French using Bing Translate, then use di **Listen translation** button to talk di translation into your microphone.
+    >
+    > ![Di listen translation button for Bing translate](../../../../../translated_images/bing-translate.348aa796d6efe2a92f41ea74a5cf42bb4c63d6faaa08e7f46924e072a35daa48.pcm.png)
+
+1. Add di translator API key and location under di `SPEECH_LOCATION`:
+
+    ```cpp
+    const char *TRANSLATOR_API_KEY = "<KEY>";
+    const char *TRANSLATOR_LOCATION = "<LOCATION>";
+    ```
+
+    Change `<KEY>` to di API key for your translator service resource. Change `<LOCATION>` to di location wey you use when you create di translator service resource.
+
+1. Add di translator trigger URL under di `VOICE_URL`:
+
+    ```cpp
+    const char *TRANSLATE_FUNCTION_URL = "<URL>";
+    ```
+
+    Change `<URL>` to di URL for di `translate-text` HTTP trigger for your function app. Dis one go be di same as di value for `TEXT_TO_TIMER_FUNCTION_URL`, but di function name go be `translate-text` instead of `text-to-timer`.
+
+1. Add new file to di `src` folder wey dem call `text_translator.h`.
+
+1. Dis new `text_translator.h` header file go get class wey go translate text. Add dis one to di file to declare di class:
+
+    ```cpp
+    #pragma once
+    
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <WiFiClient.h>
+    
+    #include "config.h"
+    
+    class TextTranslator
+    {
+    public:   
+    private:
+        WiFiClient _client;
+    };
+    
+    TextTranslator textTranslator;
+    ```
+
+    Dis one dey declare di `TextTranslator` class, along with one instance of dis class. Di class get one field for di WiFi client.
+
+1. For di `public` section of dis class, add method wey go translate text:
+
+    ```cpp
+    String translateText(String text, String from_language, String to_language)
+    {
+    }
+    ```
+
+    Dis method dey take di language wey dem wan translate from, and di language wey dem wan translate to. When e dey handle speech, di speech go translate from di user language to di LUIS server language, and when e dey give response, e go translate from di LUIS server language to di user language.
+
+1. For dis method, add code wey go build JSON body wey get di text wey dem wan translate and di languages:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["text"] = text;
+    doc["from_language"] = from_language;
+    doc["to_language"] = to_language;
+
+    String body;
+    serializeJson(doc, body);
+
+    Serial.print("Translating ");
+    Serial.print(text);
+    Serial.print(" from ");
+    Serial.print(from_language);
+    Serial.print(" to ");
+    Serial.print(to_language);
+    ```
+
+1. Under dis one, add di code wey go send di body to di serverless function app:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, TRANSLATE_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+1. Next, add code wey go collect di response:
+
+    ```cpp
+    String translated_text = "";
+
+    if (httpResponseCode == 200)
+    {
+        translated_text = httpClient.getString();
+        Serial.print("Translated: ");
+        Serial.println(translated_text);
+    }
+    else
+    {
+        Serial.print("Failed to translate text - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+1. At last, add code wey go close di connection and return di translated text:
+
+    ```cpp
+    httpClient.end();
+
+    return translated_text;
+    ```
+
+### Task - translate di recognized speech and di responses
+
+1. Open di `main.cpp` file.
+
+1. Add include directive for di top of di file for di `TextTranslator` class header file:
+
+    ```cpp
+    #include "text_translator.h"
+    ```
+
+1. Di text wey dem dey talk when timer don set or expire need to translate. To do dis, add dis one as di first line for di `say` function:
+
+    ```cpp
+    text = textTranslator.translateText(text, LANGUAGE, SERVER_LANGUAGE);
+    ```
+
+    Dis one go translate di text to di user language.
+
+1. For di `processAudio` function, text dey collect from di captured audio with di `String text = speechToText.convertSpeechToText();` call. After dis call, translate di text:
+
+    ```cpp
+    String text = speechToText.convertSpeechToText();
+    text = textTranslator.translateText(text, LANGUAGE, SERVER_LANGUAGE);
+    ```
+
+    Dis one go translate di text from di user language to di language wey di server dey use.
+
+1. Build dis code, upload am to your Wio Terminal and test am through di serial monitor. Once you see `Ready` for di serial monitor, press di C button (di one wey dey left-hand side, near di power switch), and talk. Make sure say your function app dey run, and request timer for di user language, either by talking dat language yourself, or using translation app.
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    Ready.
+    Starting recording...
+    Finished recording
+    Sending speech...
+    Speech sent!
+    {"RecognitionStatus":"Success","DisplayText":"Définir une minuterie de 2 minutes 27 secondes.","Offset":9600000,"Duration":40400000}
+    Translating Définir une minuterie de 2 minutes 27 secondes. from fr-FR to en-US
+    Translated: Set a timer of 2 minutes 27 seconds.
+    Set a timer of 2 minutes 27 seconds.
+    {"seconds": 147}
+    Translating 2 minute 27 second timer started. from en-US to fr-FR
+    Translated: 2 minute 27 seconde minute a commencé.
+    2 minute 27 seconde minute a commencé.
+    Translating Times up on your 2 minute 27 second timer. from en-US to fr-FR
+    Translated: Chronométrant votre minuterie de 2 minutes 27 secondes.
+    Chronométrant votre minuterie de 2 minutes 27 secondes.
+    ```
+
+> 💁 You fit find dis code for di [code/wio-terminal](../../../../../6-consumer/lessons/4-multiple-language-support/code/wio-terminal) folder.
+
+😀 Your multilingual timer program don work well!
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make sure say e correct, abeg make you sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/CODE_OF_CONDUCT.md b/translations/pcm/CODE_OF_CONDUCT.md
new file mode 100644
index 000000000..65ce89f2b
--- /dev/null
+++ b/translations/pcm/CODE_OF_CONDUCT.md
@@ -0,0 +1,25 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "c06b12caf3c901eb3156e3dd5b0aea56",
+  "translation_date": "2025-11-18T18:25:01+00:00",
+  "source_file": "CODE_OF_CONDUCT.md",
+  "language_code": "pcm"
+}
+-->
+# Microsoft Open Source Code of Conduct
+
+Dis project don adopt di [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+
+Resources:
+
+- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
+- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+- If you get any question or concern, contact [opencode@microsoft.com](mailto:opencode@microsoft.com)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu wey you dey see don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg no forget say machine translation fit get mistake or no too accurate. Di original docu for di language wey dem first write am na di main correct one. If na important matter, e go better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/CONTRIBUTING.md b/translations/pcm/CONTRIBUTING.md
new file mode 100644
index 000000000..ec0c7d204
--- /dev/null
+++ b/translations/pcm/CONTRIBUTING.md
@@ -0,0 +1,27 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "d6f80293fa9c213283eac7e79b078671",
+  "translation_date": "2025-11-18T18:20:47+00:00",
+  "source_file": "CONTRIBUTING.md",
+  "language_code": "pcm"
+}
+-->
+# Contributing
+
+Dis project dey welcome contributions and suggestions. Most contributions go need make you agree to Contributor License Agreement (CLA) wey go show say you get di right to, and you dey really give us di rights to use wetin you contribute. For more details, go check https://cla.microsoft.com.
+
+> Important: wen you dey translate text for dis repo, abeg no use machine translation. We go check di translations through di community, so abeg only volunteer for translations for languages wey you sabi well well.
+
+Wen you submit pull request, CLA-bot go automatically check whether you need to provide CLA and e go decorate di PR well (like label, comment). Just follow di instructions wey di bot go give you. You go only need to do dis one time for all repositories wey dey use our CLA.
+
+Dis project don adopt di [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information, read di [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) if you get any extra questions or comments.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg no forget say automatic translation fit get mistake or no dey accurate well. Di original docu for di language wey dem first write am na di main correct one. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/README.md b/translations/pcm/README.md
new file mode 100644
index 000000000..7f556f4e9
--- /dev/null
+++ b/translations/pcm/README.md
@@ -0,0 +1,201 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:22:04+00:00",
+  "source_file": "README.md",
+  "language_code": "pcm"
+}
+-->
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+
+### Join di Azure AI Foundry Community 
+
+If e hard you or you get any question about how to build AI apps, join oda learners and developers wey sabi MCP. Na beta community wey dey welcome questions and dey share knowledge free.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+If you get feedback about di product or you dey face wahala wen you dey build, visit:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+Follow dis steps to start to use di resources:
+1. **Fork di Repository**: Click [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **Clone di Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**Join di Microsoft Foundry Discord make you meet experts and oda developers**](https://discord.com/invite/ByRwuEEgH4)
+
+
+### 🌐 Multi-Language Support
+
+#### Supported via GitHub Action (Automated & Always Up-to-Date)
+
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+
+# IoT for Beginners - A Curriculum
+
+Azure Cloud Advocates for Microsoft don prepare 12-week, 24-lesson curriculum wey dey teach di basics of IoT. Each lesson get quiz before and after di lesson, written instructions, solution, assignment and more. Di project-based style go help you learn well as you dey build, wey be one sure way to make new skills stick.
+
+Di projects dey show how food dey move from farm go table. E include farming, logistics, manufacturing, retail and consumer - all na popular industry areas for IoT devices.
+
+![A road map for di course wey show 24 lessons wey cover intro, farming, transport, processing, retail and cooking](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pcm.jpg)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click di image for bigger version.
+
+**Big thanks to our authors [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), and our sketchnote artist [Nitya Narasimhan](https://github.com/nitya).**
+
+**Thanks too to our team of [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) wey don dey review and translate dis curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), and [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+
+Meet di team!
+
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+
+**Gif by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+
+> 🎥 Click di image above for video about di project!
+
+> **Teachers**, we don [add some suggestions](for-teachers.md) on how una fit use dis curriculum. If you wan create your own lessons, we don also add [lesson template](lesson-template/README.md).
+
+> **[Students](https://aka.ms/student-page)**, if you wan use dis curriculum by yourself, fork di whole repo and do di exercises by yourself. Start with di pre-lecture quiz, read di lecture and finish di activities. Try build di projects by understanding di lessons instead of copying di solution code; but di code dey available for di /solutions folders for each project-oriented lesson. Another idea na to form study group with your friends and go through di content together. For more study, we recommend [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+
+For video overview of dis course, check dis video:
+
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+
+> 🎥 Click di image above for video about di project!
+
+## Pedagogy
+
+We choose two teaching styles wen we dey build dis curriculum: make e dey project-based and make e get plenty quizzes. By di end of dis series, students go don build plant monitoring and watering system, vehicle tracker, smart factory setup to track and check food, and voice-controlled cooking timer. Dem go don learn di basics of Internet of Things like how to write device code, connect to di cloud, analyze telemetry and run AI for di edge.
+
+As we make di content align with projects, e go make am more interesting for students and e go help dem remember di concepts well.
+
+Plus, quiz wey no dey too hard before class go help di student focus on di topic wey dem wan learn, while di second quiz after class go help dem remember am well. Dis curriculum dey flexible and fun, and you fit take am complete or small small. Di projects dey start small and e dey grow complex by di end of di 12-week cycle.
+
+Each project dey use real-world hardware wey students and hobbyists fit get. Each project dey look into di specific project domain, dey give background knowledge wey dey relevant. To be beta developer, e good make you understand di domain wey you dey solve problem for. Dis background knowledge go help students think about their IoT solutions and learnings for di context of di kind real-world problem wey dem fit solve as IoT developer. Students go learn di 'why' of di solutions wey dem dey build, and dem go appreciate di end user.
+
+## Hardware
+
+We get two options of IoT hardware wey you fit use for di projects based on wetin you like, di programming language wey you sabi, your learning goals and wetin dey available. We don also provide 'virtual hardware' version for people wey no get access to hardware or wan learn more before dem buy. You fit read more and find 'shopping list' for di [hardware page](./hardware.md), including links to buy complete kits from our friends for Seeed Studio.
+
+> 💁 Check our [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), and [Translation](TRANSLATIONS.md) guidelines. We dey welcome your constructive feedback!
+
+## Each lesson get:
+
+- sketchnote
+- optional video wey dey add more info
+- pre-lesson warmup quiz
+- written lesson
+- for project-based lessons, step-by-step guide on how to build di project
+- knowledge checks
+- challenge
+- extra reading
+- assignment
+- [post-lesson quiz](https://ff-quizzes.netlify.app/en/)
+> **Small info about quizzes**: All di quizzes dey inside di quiz-app folder, e get 48 quizzes wey each one get three questions. Dem link am from di lessons, but di quiz app fit run for your computer or you fit put am for Azure; follow di instruction wey dey inside di `quiz-app` folder. Dem dey localize am small small.
+
+## Lessons
+
+|       |              Project Name              |                       Concepts We Go Learn                       | Wetin You Go Learn                                                                                                                                                 |                                                        Linked Lesson                                                         |
+| :---: | :------------------------------------: | :-------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Getting started](./1-getting-started/README.md) |                     Introduction to IoT                     | Learn di basic principles of IoT and di basic building blocks of IoT solutions like sensors and cloud services as you dey set up your first IoT device |                      [Introduction to IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Getting started](./1-getting-started/README.md) |                   A deeper dive into IoT                    | Learn more about di components of an IoT system, plus microcontrollers and single-board computers                                                            |                        [A deeper dive into IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Getting started](./1-getting-started/README.md) | Interact with di physical world with sensors and actuators | Learn about sensors to gather data from di physical world, and actuators to send feedback, as you dey build a nightlight                                           | [Interact with di physical world with sensors and actuators](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Getting started](./1-getting-started/README.md) |             Connect your device to di Internet             | Learn how to connect an IoT device to di Internet to send and receive messages by connecting your nightlight to an MQTT broker                               |               [Connect your device to di Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farm](./2-farm/README.md)            |                    Predict plant growth                     | Learn how to predict plant growth using temperature data wey IoT device capture                                                                                  |                          [Predict plant growth](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farm](./2-farm/README.md)            |                    Detect soil moisture                     | Learn how to detect soil moisture and calibrate a soil moisture sensor                                                                                              |                          [Detect soil moisture](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farm](./2-farm/README.md)            |                  Automated plant watering                   | Learn how to automate and time watering using a relay and MQTT                                                                                                      |                      [Automated plant watering](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farm](./2-farm/README.md)            |               Migrate your plant to di cloud               | Learn about di cloud and cloud-hosted IoT services and how to connect your plant to one of these instead of a public MQTT broker                                   |               [Migrate your plant to di cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farm](./2-farm/README.md)            |         Migrate your application logic to di cloud         | Learn how you fit write application logic for di cloud wey go respond to IoT messages                                                                          |         [Migrate your application logic to di cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Farm](./2-farm/README.md)            |                   Keep your plant secure                    | Learn about security with IoT and how to keep your plant secure with keys and certificates                                                                          |                        [Keep your plant secure](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Location tracking                      | Learn about GPS location tracking for IoT devices                                                                                                                   |                           [Location tracking](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Store location data                     | Learn how to store IoT data to fit visualize or analyze later                                                                                                      |                         [Store location data](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Visualize location data                   | Learn about visualizing location data on top map, and how maps dey represent di real 3D world for 2 dimensions                                                            |                     [Visualize location data](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Learn about geofences, and how dem fit use am to alert when vehicles for di supply chain dey close to their destination                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Manufacturing](./4-manufacturing/README.md)   |               Train a fruit quality detector                | Learn about training an image classifier for di cloud to detect fruit quality                                                                                       |                 [Train a fruit quality detector](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Manufacturing](./4-manufacturing/README.md)   |           Check fruit quality from an IoT device            | Learn about using your fruit quality detector from an IoT device                                                                                                    |           [Check fruit quality from an IoT device](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Manufacturing](./4-manufacturing/README.md)   |             Run your fruit detector on di edge             | Learn about running your fruit detector on an IoT device for di edge                                                                                                |             [Run your fruit detector on di edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Manufacturing](./4-manufacturing/README.md)   |        Trigger fruit quality detection from a sensor        | Learn about triggering fruit quality detection from a sensor                                                                                                        |        [Trigger fruit quality detection from a sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Retail](./5-retail/README.md)          |                   Train a stock detector                    | Learn how to use object detection to train a stock detector to count stock for shop                                                                                |                        [Train a stock detector](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Retail](./5-retail/README.md)          |               Check stock from an IoT device                | Learn how to check stock from an IoT device using an object detection model                                                                                         |                     [Check stock from an IoT device](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consumer](./6-consumer/README.md)        |             Recognize speech with an IoT device             | Learn how to recognize speech from an IoT device to build a smart timer                                                                                             |                  [Recognize speech with an IoT device](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Consumer](./6-consumer/README.md)        |                     Understand language                     | Learn how to understand sentences wey dem talk to an IoT device                                                                                                           |                        [Understand language](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Consumer](./6-consumer/README.md)        |           Set a timer and provide spoken feedback           | Learn how to set a timer on an IoT device and give spoken feedback on when di timer set and when e finish                                                    |                 [Set a timer and provide spoken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consumer](./6-consumer/README.md)        |                 Support multiple languages                  | Learn how to support multiple languages, both di one wey dem dey talk to and di response from your smart timer                                                               |                   [Support multiple languages](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+
+## Offline access
+
+You fit run dis documentation offline by using [Docsify](https://docsify.js.org/#/). Fork dis repo, [install Docsify](https://docsify.js.org/#/quickstart) for your computer, and then for di root folder of dis repo, type `docsify serve`. Di website go dey available for port 3000 for your localhost: `localhost:3000`.
+
+## Quiz
+
+Thanks to di community wey host di interactive quiz wey dey test your knowledge for each of di chapters. You fit test your knowledge [here](https://ff-quizzes.netlify.app/en/) 
+
+### PDF
+
+You fit generate PDF of dis content for offline access if you need am. To do dis, make sure say you get [npm installed](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) and run di commands wey dey below for di root folder of dis repo:
+
+```sh
+npm i
+npm run convert
+```
+
+### Slides
+
+Slide decks dey for some of di lessons for di [slides](../../slides) folder.
+
+
+## Other Curricula
+
+Our team dey produce other curricula! Check dem out:
+
+### Azure / Edge / MCP / Agents
+[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+
+---
+
+### Generative AI Series
+[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+---
+
+### Core Learning
+[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+---
+
+### Copilot Series
+[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
+
+## Image attributions
+
+You fit see all di attributions for di images wey dem use for dis curriculum where e dey required for di [Attributions](./attributions.md).
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go trust. For important mata, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/SECURITY.md b/translations/pcm/SECURITY.md
new file mode 100644
index 000000000..6740cfdd5
--- /dev/null
+++ b/translations/pcm/SECURITY.md
@@ -0,0 +1,53 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "8587f83cfded1bfab99fda4022f4df89",
+  "translation_date": "2025-11-18T18:25:08+00:00",
+  "source_file": "SECURITY.md",
+  "language_code": "pcm"
+}
+-->
+# Security
+
+Microsoft dey take di security of dia software products and services serious, wey include all di source code repositories wey dem dey manage through dia GitHub organizations, wey include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/).
+
+If you feel say you don see security wahala for any Microsoft-owned repository wey match [Microsoft's definition of a security vulnerability](https://docs.microsoft.com/en-us/previous-versions/tn-archive/cc751383(v=technet.10)), abeg report am to us as we go explain below.
+
+## How to Report Security Wahala
+
+**Abeg no report security wahala through public GitHub issues.**
+
+Instead, abeg report am to di Microsoft Security Response Center (MSRC) for [https://msrc.microsoft.com/create-report](https://msrc.microsoft.com/create-report).
+
+If you wan submit without logging in, send email go [secure@microsoft.com](mailto:secure@microsoft.com). If e possible, encrypt your message with our PGP key; abeg download am from di [Microsoft Security Response Center PGP Key page](https://www.microsoft.com/en-us/msrc/pgp-key-msrc).
+
+You suppose get response within 24 hours. If for any reason you no get, abeg follow up with email to make sure say we receive your first message. You fit find more info for [microsoft.com/msrc](https://www.microsoft.com/msrc).  
+
+Abeg include di information wey we list below (as much as you fit provide) to help us understand di nature and scope of di possible wahala:
+
+  * Di type of wahala (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
+  * Full paths of di source file(s) wey relate to di wahala
+  * Di location of di affected source code (tag/branch/commit or direct URL)
+  * Any special configuration wey you need to reproduce di wahala
+  * Step-by-step instructions to reproduce di wahala
+  * Proof-of-concept or exploit code (if e possible)
+  * Di impact of di wahala, including how attacker fit take exploit di wahala
+
+Dis information go help us triage your report quick-quick.
+
+If you dey report for bug bounty, di more complete your report be, di higher di bounty award fit be. Abeg visit our [Microsoft Bug Bounty Program](https://microsoft.com/msrc/bounty) page to see more details about di programs wey dey active.
+
+## Preferred Languages
+
+We go like make all communication dey for English.
+
+## Policy
+
+Microsoft dey follow di principle of [Coordinated Vulnerability Disclosure](https://www.microsoft.com/en-us/msrc/cvd).
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg sabi say automatic translation fit get mistake or no dey accurate well. Di original dokyument for im native language na im you go take as di main correct one. For important information, e go better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/SUPPORT.md b/translations/pcm/SUPPORT.md
new file mode 100644
index 000000000..5e56dadb2
--- /dev/null
+++ b/translations/pcm/SUPPORT.md
@@ -0,0 +1,27 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "cd89329575372232e59605f7a08ae0df",
+  "translation_date": "2025-11-18T18:23:22+00:00",
+  "source_file": "SUPPORT.md",
+  "language_code": "pcm"
+}
+-->
+# Support
+
+## How you go fit report wahala and get help  
+
+Dis project dey use GitHub Issues to track bugs and feature requests. Abeg make you check di issues wey don dey already before you go report new one so you no go repeat am. For new issues, report your bug or feature request as new Issue.
+
+If you need help or you get question about how to use dis project, abeg contact us by raising issue for dis repo.
+
+## Microsoft Support Policy  
+
+Support for dis **PROJECT or PRODUCT** na only di resources wey we list above.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automatic translation fit get mistake or no dey correct well. Di original dokyument for di native language na di main source wey you go trust. For important information, e better make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/attributions.md b/translations/pcm/attributions.md
new file mode 100644
index 000000000..d8a34a207
--- /dev/null
+++ b/translations/pcm/attributions.md
@@ -0,0 +1,56 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4506d33bbda7acc0ab20980172687090",
+  "translation_date": "2025-11-18T18:21:51+00:00",
+  "source_file": "attributions.md",
+  "language_code": "pcm"
+}
+-->
+# Image attributions
+
+* Bananas by abderraouf omara from di [Noun Project](https://thenounproject.com)
+* Brain by Icon Market from di [Noun Project](https://thenounproject.com)
+* Broadcast by RomStu from di [Noun Project](https://thenounproject.com)
+* Button by Dan Hetteix from di [Noun Project](https://thenounproject.com)
+* C451B small-diaphragm condenser microphone by AKG Acoustics. [Harumphy](https://en.wikipedia.org/wiki/User:Harumphy) for [en.wikipedia](https://en.wikipedia.org/) / [Creative Commons Attribution-Share Alike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/deed.en)
+* Calendar by Alice-vector from di [Noun Project](https://thenounproject.com)
+* Certificate by alimasykurm from di [Noun Project](https://thenounproject.com)
+* chip by Astatine Lab from di [Noun Project](https://thenounproject.com)
+* Cloud by Debi Alpa Nugraha from di [Noun Project](https://thenounproject.com)
+* container by ProSymbols from di [Noun Project](https://thenounproject.com)
+* CPU by Icon Lauk from di [Noun Project](https://thenounproject.com)
+* database by Icons Bazaar from di [Noun Project](https://thenounproject.com)
+* dial by Jamie Dickinson from di [Noun Project](https://thenounproject.com)
+* GPS by mim studio from di [Noun Project](https://thenounproject.com)
+* heater by Pascal Heß from di [Noun Project](https://thenounproject.com)
+* Idea by Pause08 from di [Noun Project](https://thenounproject.com)
+* IoT by Adrien Coquet from di [Noun Project](https://thenounproject.com)
+* LED by abderraouf omara from di [Noun Project](https://thenounproject.com)
+* ldr by Eucalyp from di [Noun Project](https://thenounproject.com)
+* lightbulb by Maxim Kulikov from di [Noun Project](https://thenounproject.com)
+* Microcontroller by Template from di [Noun Project](https://thenounproject.com)
+* mobile phone by Alice-vector from di [Noun Project](https://thenounproject.com)
+* motor by Bakunetsu Kaito from di [Noun Project](https://thenounproject.com)
+* Patti Smith dey sing for Shure SM58 (dynamic cardioid type) microphone. Beni Köhler / [Creative Commons Attribution-Share Alike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/deed.en)
+* Plant by Alex Muravev from di [Noun Project](https://thenounproject.com)
+* Plant Cell by Léa Lortal from di [Noun Project](https://thenounproject.com)
+* probe by Adnen Kadri from di [Noun Project](https://thenounproject.com)
+* ram by Atif Arshad from di [Noun Project](https://thenounproject.com)
+* Raspberry Pi 4. Michael Henzler / [Wikimedia Commons](https://commons.wikimedia.org/wiki/Main_Page) / [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+* recording by Aybige Speaker from di [Noun Project](https://thenounproject.com)
+* Satellite by Noura Mbarki from di [Noun Project](https://thenounproject.com)
+* smart sensor by Andrei Yushchenko from di [Noun Project](https://thenounproject.com)
+* Speaker by Gregor Cresnar from di [Noun Project](https://thenounproject.com)
+* switch by Chattapat from di [Noun Project](https://thenounproject.com)*
+* Temperature by Vectors Market from di [Noun Project](https://thenounproject.com)
+* tomato by parkjisun from di Noun Project from di [Noun Project](https://thenounproject.com)
+* Watering Can by Daria Moskvina from di [Noun Project](https://thenounproject.com)
+* weather by Adrien Coquet from di [Noun Project](https://thenounproject.com)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/clean-up.md b/translations/pcm/clean-up.md
new file mode 100644
index 000000000..f90dd3d94
--- /dev/null
+++ b/translations/pcm/clean-up.md
@@ -0,0 +1,57 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "5a94fbab1ba737e9bd6cc6c64f114fa0",
+  "translation_date": "2025-11-18T18:23:42+00:00",
+  "source_file": "clean-up.md",
+  "language_code": "pcm"
+}
+-->
+# Clean up your project
+
+Wen you don finish each project, e good make you delete your cloud resources.
+
+For di lessons wey dey each project, you fit don create some of dis ones:
+
+* Resource Group
+* IoT Hub
+* IoT device registrations
+* Storage Account
+* Functions App
+* Azure Maps account
+* Custom vision project
+* Azure Container Registry
+* Cognitive services resource
+
+Most of dis resources no go cost you money - either dem dey completely free, or you dey use di free tier. For di services wey need paid tier, you go dey use dem for level wey dey inside di free allowance, or e go just cost small money.
+
+Even though di cost no too high, e still good make you delete dis resources wen you don finish. For example, you fit only get one IoT Hub wey dey use di free tier, so if you wan create another one, you go need use di paid tier.
+
+All di services wey you create dey inside Resource Groups, and dis one dey make am easy to manage. You fit delete di Resource Group, and all di services wey dey inside di Resource Group go delete join.
+
+To delete di Resource Group, run dis command for your terminal or command prompt:
+
+```sh
+az group delete --name <resource-group-name>
+```
+
+Change `<resource-group-name>` to di name of di Resource Group wey you wan delete.
+
+You go see confirmation:
+
+```output
+Are you sure you want to perform this operation? (y/n): 
+```
+
+Type `y` to confirm and delete di Resource Group.
+
+E go take small time to delete all di services.
+
+> 💁 You fit read more about how to delete resource groups for di [Azure Resource Manager resource group and resource deletion documentation for Microsoft Docs](https://docs.microsoft.com/azure/azure-resource-manager/management/delete-resource-group?WT.mc_id=academic-17441-jabenn&tabs=azure-cli)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no correct well. Di original document for di native language na di main correct source. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/docs/_sidebar.md b/translations/pcm/docs/_sidebar.md
new file mode 100644
index 000000000..ecc1a539f
--- /dev/null
+++ b/translations/pcm/docs/_sidebar.md
@@ -0,0 +1,51 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "686f22febaa2b67aa03b738c0dc0bf9b",
+  "translation_date": "2025-11-18T18:45:44+00:00",
+  "source_file": "docs/_sidebar.md",
+  "language_code": "pcm"
+}
+-->
+- Introduction
+  - [1](../1-getting-started/lessons/1-introduction-to-iot/README.md) - Intro wey go teach you wetin IoT be.
+  - [2](../1-getting-started/lessons/2-deeper-dive/README.md) - Learn more about IoT and how e dey work.
+  - [3](../1-getting-started/lessons/3-sensors-and-actuators/README.md) - Understand sensors and actuators and how dem dey work.
+  - [4](../1-getting-started/lessons/4-connect-internet/README.md) - Learn how to connect IoT device to internet.
+
+- Farm
+  - [5](../2-farm/lessons/1-predict-plant-growth/README.md) - Learn how to predict how plant go grow.
+  - [6](../2-farm/lessons/2-detect-soil-moisture/README.md) - Learn how to check soil moisture level.
+  - [7](../2-farm/lessons/3-automated-plant-watering/README.md) - Learn how to make plant watering automatic.
+  - [8](../2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md) - Learn how to move plant data go cloud.
+  - [9](../2-farm/lessons/5-migrate-application-to-the-cloud/README.md) - Learn how to move application go cloud.
+  - [10](../2-farm/lessons/6-keep-your-plant-secure/README.md) - Learn how to protect your plant data.
+
+- Transport
+  - [11](../3-transport/lessons/1-location-tracking/README.md) - Learn how to track location of things.
+  - [12](../3-transport/lessons/2-store-location-data/README.md) - Learn how to save location data.
+  - [13](../3-transport/lessons/3-visualize-location-data/README.md) - Learn how to show location data for better understanding.
+  - [14](../3-transport/lessons/4-geofences/README.md) - Learn how to use geofences for tracking.
+
+- Manufacturing
+  - [15](../4-manufacturing/lessons/1-train-fruit-detector/README.md) - Learn how to train machine to detect fruit.
+  - [16](../4-manufacturing/lessons/2-check-fruit-from-device/README.md) - Learn how to use device to check fruit.
+  - [17](../4-manufacturing/lessons/3-run-fruit-detector-edge/README.md) - Learn how to run fruit detector on edge device.
+  - [18](../4-manufacturing/lessons/4-trigger-fruit-detector/README.md) - Learn how to trigger fruit detector.
+
+- Retail
+  - [19](../5-retail/lessons/1-train-stock-detector/README.md) - Learn how to train machine to detect stock.
+  - [20](../5-retail/lessons/2-check-stock-device/README.md) - Learn how to use device to check stock.
+
+- Consumer
+  - [21](../6-consumer/lessons/1-speech-recognition/README.md) - Learn how to make machine understand speech.
+  - [22](../6-consumer/lessons/2-language-understanding/README.md) - Learn how machine fit understand language.
+  - [23](../6-consumer/lessons/3-spoken-feedback/README.md) - Learn how machine fit give feedback wey person talk.
+  - [24](../6-consumer/lessons/4-multiple-language-support/README.md) - Learn how machine fit support plenty languages.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/for-teachers.md b/translations/pcm/for-teachers.md
new file mode 100644
index 000000000..0613c66ec
--- /dev/null
+++ b/translations/pcm/for-teachers.md
@@ -0,0 +1,43 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "9fd36f5dc734203ee28b6cf2573e5eab",
+  "translation_date": "2025-11-18T18:20:36+00:00",
+  "source_file": "for-teachers.md",
+  "language_code": "pcm"
+}
+-->
+# For Educators
+
+You wan use dis curriculum for your classroom? Abeg, feel free!
+
+In fact, you fit use am inside GitHub sef by using GitHub Classroom.
+
+To do dat, fork dis repo. You go need create repo for each lesson, so you go need to comot each folder put for separate repo. Like dat, [GitHub Classroom](https://classroom.github.com/classrooms) go fit pick each lesson one by one.
+
+Dis [full instructions](https://github.blog/2020-03-18-set-up-your-digital-classroom-with-github-classroom/) go show you how you fit set up your classroom.
+
+## Recommended learning model
+
+You fit read more about one recommended learning model for how to teach dis curriculum for our [Recommended learning model guide](recommended-learning-model.md).
+
+## Using the repo as e dey
+
+If you wan use dis repo as e dey now, without using GitHub Classroom, you fit do am too. You go need tell your students which lesson una go work on together.
+
+For online format (Zoom, Teams, or any other one), you fit create breakout rooms for the quizzes, and mentor students to help dem prepare to learn. Then invite students for the quizzes and make dem submit dia answers as 'issues' for one particular time. You fit do the same thing with assignments, if you wan make students work together openly.
+
+If you prefer private format, tell your students to fork the curriculum, lesson by lesson, to dia own GitHub repos as private repos, and make dem give you access. Then dem fit do quizzes and assignments privately and submit dem to you through issues for your classroom repo.
+
+Plenty ways dey to make dis thing work for online classroom format. Abeg, let us know which one work best for you!
+
+## Abeg, give us your thoughts!
+
+We wan make dis curriculum work well for you and your students. Abeg, give us [feedback](https://forms.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR2humCsRZhxNuI79cm6n0hRUQzRVVU9VVlU5UlFLWTRLWlkyQUxORTg5WS4u).
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis docu don dey translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original docu for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/hardware.md b/translations/pcm/hardware.md
new file mode 100644
index 000000000..1142ad486
--- /dev/null
+++ b/translations/pcm/hardware.md
@@ -0,0 +1,123 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "3dce18fab38adf93ff30b8c221b1eec5",
+  "translation_date": "2025-11-18T18:24:27+00:00",
+  "source_file": "hardware.md",
+  "language_code": "pcm"
+}
+-->
+# Hardware
+
+Di **T** wey dey for IoT na **Things**, e mean di devices wey dey interact wit di world wey dey around us. Every project dey base on real-world hardware wey students and hobbyists fit use. We get two options of IoT hardware wey you fit choose, e depend on wetin you like, di programming language wey you sabi or prefer, your learning goals, and wetin dey available. We also provide 'virtual hardware' version for people wey no get access to hardware or wan learn more before dem buy.
+
+> 💁 You no need buy any IoT hardware to finish di assignments. You fit do everything wit virtual IoT hardware.
+
+Di physical hardware options na Arduino or Raspberry Pi. Each platform get im own good and bad sides, and we go explain all of dem for one of di first lessons. If you never decide which hardware platform you wan use, you fit check [lesson two of di first project](./1-getting-started/lessons/2-deeper-dive/README.md) to choose di hardware platform wey you go like learn.
+
+Di hardware wey we choose na to make di lessons and assignments no too hard. Even though other hardware fit work, we no fit guarantee say all di assignments go work for your device unless you get extra hardware. For example, plenty Arduino devices no get WiFi, and WiFi dey important to connect to di cloud - na why we choose Wio terminal because e get WiFi inside.
+
+You go also need some non-technical things like soil or pot plant, and fruit or vegetables.
+
+## Buy di kits
+
+![Di Seeed studios logo](../../translated_images/seeed-logo.74732b6b482b6e8e8bdcc06f0541fc92b1dabf5e3e8f37afb91e04393a8cb977.pcm.png)
+
+Seeed Studios don help us make all di hardware easy to buy as kits:
+
+### Arduino - Wio Terminal
+
+**[IoT for beginners wit Seeed and Microsoft - Wio Terminal Starter Kit](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Wio-Terminal-Starter-Kit-p-5006.html)**
+
+[![Di Wio Terminal hardware kit](../../translated_images/wio-hardware-kit.4c70c48b85e4283a1d73e248d87d49587c0cd077eeb69cb3eca803166f63c9a5.pcm.png)](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Wio-Terminal-Starter-Kit-p-5006.html)
+
+### Raspberry Pi
+
+**[IoT for beginners wit Seeed and Microsoft - Raspberry Pi 4 Starter Kit](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Raspberry-Pi-Starter-Kit-p-5004.html)**
+
+[![Di Raspberry Pi Terminal hardware kit](../../translated_images/pi-hardware-kit.26dbadaedb7dd44c73b0131d5d68ea29472ed0a9744f90d5866c6d82f2d16380.pcm.png)](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Raspberry-Pi-Starter-Kit-p-5004.html)
+
+## Arduino
+
+All di device code for Arduino dey for C++. To finish all di assignments, you go need di following:
+
+### Arduino hardware
+
+* [Wio Terminal](https://www.seeedstudio.com/Wio-Terminal-p-4509.html)
+* *Optional* - USB-C cable or USB-A to USB-C adapter. Di Wio terminal get USB-C port and e dey come wit USB-C to USB-A cable. If your PC or Mac only get USB-C ports, you go need USB-C cable or USB-A to USB-C adapter.
+
+### Arduino specific sensors and actuators
+
+Dis ones na for di Wio terminal Arduino device, e no concern di Raspberry Pi.
+
+* [ArduCam Mini 2MP Plus - OV2640](https://www.arducam.com/product/arducam-2mp-spi-camera-b0067-arduino/)
+* [ReSpeaker 2-Mics Pi HAT](https://www.seeedstudio.com/ReSpeaker-2-Mics-Pi-HAT.html)
+* [Breadboard Jumper Wires](https://www.seeedstudio.com/Breadboard-Jumper-Wire-Pack-241mm-200mm-160mm-117m-p-234.html)
+* Headphones or speaker wey get 3.5mm jack, or JST speaker like:
+  * [Mono Enclosed Speaker - 2W 6 Ohm](https://www.seeedstudio.com/Mono-Enclosed-Speaker-2W-6-Ohm-p-2832.html)
+* microSD Card 16GB or less, wit connector to use di SD card wit your computer if e no get one built-in. **NOTE** - di Wio Terminal only dey support SD cards wey no pass 16GB, e no dey support bigger ones.
+
+## Raspberry Pi
+
+All di device code for Raspberry Pi dey for Python. To finish all di assignments, you go need di following:
+
+### Raspberry Pi hardware
+
+* [Raspberry Pi](https://www.raspberrypi.org/products/raspberry-pi-4-model-b/)
+  > 💁 Versions from di Pi 2B and above go work wit di assignments for dis lessons. If you wan run VS Code directly for di Pi, you go need Pi 4 wey get 2GB RAM or more. If you wan access di Pi remotely, any Pi 2B and above go work.
+* microSD Card (You fit buy Raspberry Pi kits wey dey come wit microSD Card), wit connector to use di SD card wit your computer if e no get one built-in.
+* USB power supply (You fit buy Raspberry Pi 4 kits wey dey come wit power supply). If you dey use Raspberry Pi 4, you go need USB-C power supply, di earlier devices dey use micro-USB power supply.
+
+### Raspberry Pi specific sensors and actuators
+
+Dis ones na for di Raspberry Pi, e no concern di Arduino device.
+
+* [Grove Pi base hat](https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi.html)
+* [Raspberry Pi Camera module](https://www.raspberrypi.org/products/camera-module-v2/)
+* Microphone and speaker:
+
+  Use one of di following (or similar):
+  * Any USB Microphone wit any USB speaker, or speaker wey get 3.5mm jack cable, or use HDMI audio output if your Raspberry Pi dey connect to monitor or TV wey get speakers
+  * Any USB headset wey get microphone inside
+  * [ReSpeaker 2-Mics Pi HAT](https://www.seeedstudio.com/ReSpeaker-2-Mics-Pi-HAT.html) wit
+    * Headphones or speaker wey get 3.5mm jack, or JST speaker like:
+    * [Mono Enclosed Speaker - 2W 6 Ohm](https://www.seeedstudio.com/Mono-Enclosed-Speaker-2W-6-Ohm-p-2832.html)
+  * [USB Speakerphone](https://www.amazon.com/USB-Speakerphone-Conference-Business-Microphones/dp/B07Q3D7F8S/ref=sr_1_1?dchild=1&keywords=m0&qid=1614647389&sr=8-1)
+* [Grove Light sensor](https://www.seeedstudio.com/Grove-Light-Sensor-v1-2-LS06-S-phototransistor.html)
+* [Grove button](https://www.seeedstudio.com/Grove-Button.html)
+
+## Sensors and actuators
+
+Most of di sensors and actuators wey you need dey work for both Arduino and Raspberry Pi learning paths:
+
+* [Grove LED](https://www.seeedstudio.com/Grove-LED-Pack-p-4364.html) x 2
+* [Grove humidity and temperature sensor](https://www.seeedstudio.com/Grove-Temperature-Humidity-Sensor-DHT11.html)
+* [Grove capacitive soil moisture sensor](https://www.seeedstudio.com/Grove-Capacitive-Moisture-Sensor-Corrosion-Resistant.html)
+* [Grove relay](https://www.seeedstudio.com/Grove-Relay.html)
+* [Grove GPS (Air530)](https://www.seeedstudio.com/Grove-GPS-Air530-p-4584.html)
+* [Grove Time of flight Distance Sensor](https://www.seeedstudio.com/Grove-Time-of-Flight-Distance-Sensor-VL53L0X.html)
+
+## Optional hardware
+
+Di lessons wey dey talk about automated watering dey use relay. As option, you fit connect dis relay to water pump wey dey powered by USB wit di hardware wey dey below.
+
+* [6V water pump](https://www.seeedstudio.com/6V-Mini-Water-Pump-p-1945.html)
+* [USB terminal](https://www.adafruit.com/product/3628)
+* Silicone pipes
+* Red and black wires
+* Small flat-head screwdriver
+
+## Virtual hardware
+
+Di virtual hardware option go provide simulators for di sensors and actuators, wey dem implement wit Python. Depending on di hardware wey you get, you fit run dis one for your normal development device like Mac, PC, or run am for Raspberry Pi and simulate only di hardware wey you no get. For example, if you get Raspberry Pi camera but you no get Grove sensors, you go fit run di virtual device code for your Pi and simulate di Grove sensors, but use di physical camera.
+
+Di virtual hardware go use di [CounterFit project](https://github.com/CounterFit-IoT/CounterFit).
+
+To finish dis lessons, you go need webcam, microphone, and audio output like speakers or headphones. Dem fit dey built-in or external, and you go need configure dem to work wit your operating system and make dem dey available for use from all applications.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis document don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no correct well. Di original document for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/images/README.md b/translations/pcm/images/README.md
new file mode 100644
index 000000000..2ab407d03
--- /dev/null
+++ b/translations/pcm/images/README.md
@@ -0,0 +1,23 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "50abd54997afa7e7a3fc7019379e49e3",
+  "translation_date": "2025-11-18T18:45:20+00:00",
+  "source_file": "images/README.md",
+  "language_code": "pcm"
+}
+-->
+# Images
+
+Di images wey dey inside [icons](../../../images/icons) folder na from [Noun Project](https://thenounproject.com) and dem need make you give credit. Each image dey show di credit wey dem need. Make sure say you use dis images for any diagram wey need am so dat di style go dey match.
+
+Di [Diagrams.sketch](../../../images/Diagrams.sketch) file na [Sketch](https://www.sketch.com) document wey get all di diagrams wey dem use for di lessons and projects. If you dey work on translation, abeg translate di diagrams too, either by copying and updating di document, or by giving list of di words wey you wan translate as GitHub issue.
+
+Di rest images na di ones wey dem use for di lessons and projects.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleshion service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transleshion. Even as we dey try make am accurate, abeg make you sabi say automatik transleshion fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong meaning wey fit happen because you use dis transleshion.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/lesson-template/README.md b/translations/pcm/lesson-template/README.md
new file mode 100644
index 000000000..ae90b7c1c
--- /dev/null
+++ b/translations/pcm/lesson-template/README.md
@@ -0,0 +1,67 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "0494be70ad7fadd13a8c3d549c23e355",
+  "translation_date": "2025-11-18T18:44:53+00:00",
+  "source_file": "lesson-template/README.md",
+  "language_code": "pcm"
+}
+-->
+# [Lesson Topic]
+
+![Put video here](../../../lesson-template/video-url)
+
+## [Pre-lecture quiz](../../../lesson-template/quiz-url)
+
+[Talk about wetin we go learn]
+
+### Introduction
+
+Talk about wetin we go cover
+
+> Notes
+
+### Prerequisite
+
+Wetin suppose don happen before dis lesson?
+
+### Preparation
+
+Wetin you go do to ready for dis lesson
+
+---
+
+[Go through content small small]
+
+## [Topic 1]
+
+### Task:
+
+Make una work together to dey improve una codebase step by step to build di project wit shared code:
+
+```html
+code blocks
+```
+
+✅ Knowledge Check - use dis time to test di students' knowledge wit open questions
+
+## [Topic 2]
+
+## [Topic 3]
+
+🚀 Challenge: Give students challenge wey dem go work on together for class to improve di project
+
+Optional: put screenshot of di lesson UI wey don complete if e dey necessary
+
+## [Post-lecture quiz](../../../lesson-template/quiz-url)
+
+## Review & Self Study
+
+**Assignment Due [MM/YY]**: [Assignment Name](assignment.md)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di main source wey you go fit trust. For important mata, e good make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/lesson-template/assignment.md b/translations/pcm/lesson-template/assignment.md
new file mode 100644
index 000000000..550fad1f6
--- /dev/null
+++ b/translations/pcm/lesson-template/assignment.md
@@ -0,0 +1,25 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "b5f62ec256c7e43e771f0d3b4e1a9130",
+  "translation_date": "2025-11-18T18:45:07+00:00",
+  "source_file": "lesson-template/assignment.md",
+  "language_code": "pcm"
+}
+-->
+# [Assignment Name]
+
+## Instructions
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+|          |           |          |                   |
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am correct, abeg sabi say machine translation fit get mistake or no dey accurate well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/quiz-app/README.md b/translations/pcm/quiz-app/README.md
new file mode 100644
index 000000000..80555e845
--- /dev/null
+++ b/translations/pcm/quiz-app/README.md
@@ -0,0 +1,129 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "2a459ea9177fb0508ca96068ae1009d2",
+  "translation_date": "2025-11-18T18:25:38+00:00",
+  "source_file": "quiz-app/README.md",
+  "language_code": "pcm"
+}
+-->
+# Quizzes
+
+Dis quizzes na di pre- and post-lecture quizzes for di IoT for Beginners curriculum wey dey for https://aka.ms/iot-beginners
+
+## Project setup
+
+```
+npm install
+```
+
+### E go compile and hot-reload for development
+
+```
+npm run serve
+```
+
+### E go compile and minify for production
+
+```
+npm run build
+```
+
+### E go lint and fix files
+
+```
+npm run lint
+```
+
+### Customize configuration
+
+Check [Configuration Reference](https://cli.vuejs.org/config/).
+
+Credits: Big thanks to di original version of dis quiz app: https://github.com/arpan45/simple-quiz-vue
+
+
+## How to Deploy am for Azure
+
+Here na step-by-step guide to help you start:
+
+1. Fork di GitHub Repository
+Make sure say your static web app code dey your GitHub repository. Fork dis repository.
+
+2. Create Azure Static Web App
+- Create [Azure account](http://azure.microsoft.com)
+- Go di [Azure portal](https://portal.azure.com) 
+- Click “Create a resource” and search for “Static Web App”.
+- Click “Create”.
+
+3. Configure di Static Web App
+- Basics: Subscription: Select your Azure subscription.
+- Resource Group: Create new resource group or use di one wey you don already get.
+- Name: Give name for your static web app.
+- Region: Choose di region wey near your users pass.
+
+- #### Deployment Details:
+- Source: Select “GitHub”.
+- GitHub Account: Allow Azure to access your GitHub account.
+- Organization: Select your GitHub organization.
+- Repository: Choose di repository wey get your static web app.
+- Branch: Select di branch wey you wan deploy from.
+
+- #### Build Details:
+- Build Presets: Choose di framework wey your app take build (e.g., React, Angular, Vue, etc.).
+- App Location: Put di folder wey get your app code (e.g., / if e dey for root).
+- API Location: If you get API, put di location (optional).
+- Output Location: Put di folder wey di build output dey generate (e.g., build or dist).
+
+4. Review and Create
+Check your settings and click “Create”. Azure go set up di resources wey you need and create GitHub Actions workflow for your repository.
+
+5. GitHub Actions Workflow
+Azure go automatically create GitHub Actions workflow file for your repository (.github/workflows/azure-static-web-apps-<name>.yml). Dis workflow go handle di build and deployment process.
+
+6. Monitor di Deployment
+Go di “Actions” tab for your GitHub repository.
+You go see workflow wey dey run. Dis workflow go build and deploy your static web app go Azure.
+Once di workflow finish, your app go dey live for di Azure URL wey dem provide.
+
+### Example Workflow File
+
+Here na example of how di GitHub Actions workflow file fit look like:
+name: Azure Static Web Apps CI/CD
+```
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    types: [opened, synchronize, reopened, closed]
+    branches:
+      - main
+
+jobs:
+  build_and_deploy_job:
+    runs-on: ubuntu-latest
+    name: Build and Deploy Job
+    steps:
+      - uses: actions/checkout@v2
+      - name: Build And Deploy
+        id: builddeploy
+        uses: Azure/static-web-apps-deploy@v1
+        with:
+          azure_static_web_apps_api_token: ${{ secrets.AZURE_STATIC_WEB_APPS_API_TOKEN }}
+          repo_token: ${{ secrets.GITHUB_TOKEN }}
+          action: "upload"
+          app_location: "quiz-app" #App source code path
+          api_location: ""API source code path optional
+          output_location: "dist" #Built app content directory - optional
+```
+
+### Additional Resources
+- [Azure Static Web Apps Documentation](https://learn.microsoft.com/azure/static-web-apps/getting-started)
+- [GitHub Actions Documentation](https://docs.github.com/actions/use-cases-and-examples/deploying/deploying-to-azure-static-web-app)
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make sure say e correct, abeg no forget say automatic translation fit get mistake or no dey accurate well. Di original dokyument for di language wey dem write am first na di main correct one. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pcm/recommended-learning-model.md b/translations/pcm/recommended-learning-model.md
new file mode 100644
index 000000000..2396f53fb
--- /dev/null
+++ b/translations/pcm/recommended-learning-model.md
@@ -0,0 +1,57 @@
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "012bbd19f13171be32ac9ba21d4186c2",
+  "translation_date": "2025-11-18T18:21:13+00:00",
+  "source_file": "recommended-learning-model.md",
+  "language_code": "pcm"
+}
+-->
+# Recommended learning model
+
+To get beta result for learning, **we dey recommend “Flipped Model" approach** like science lab: students go dey work on projects for class time, with chance to discuss, ask questions, and get help for their project, and dem go do the lecture part as pre-reads for dia own time.
+
+## Why Flipped Learning?
+
+1. Dis kind teaching dey use different learning methods – visual, listening, hands-on, problem solving, etc.[[1]](../..)
+2. Flipped classrooms don show say e dey increase focus, engagement, motivation, self-confidence, knowledge retention, and communication (both teacher-to-student and student-to-student).[[2,3]](../..)
+3. As teacher, you fit spend more time with students wey dey struggle while you go allow students wey don sabi well well to move ahead.[[4]](../..)
+
+We dey also recommend say teachers go take the role of **“Co-Facilitator"** wey go dey learn with students and dey support dem as dem dey work through questions and explore things wey dem dey curious about.
+
+No be say one way dey correct pass for dis kind thing. Sometimes, you no go get all the answers. Some students fit no finish all the projects. Your work na to help your students find ways to solve problems wey fit dey more playful, collaborative, or self-directed pass wetin dem first think.
+
+## Helpful Facilitation Tips:
+
+* Think about wetin you notice, ask questions, and talk about wetin you observe.
+* Use words like “I notice…" and “I wonder…"
+* Link students wey dey struggle with students wey don already find solution.
+* Point to parts or suggest different things wey dem fit try if student dey stuck. Tell the student make dem change one thing at a time and see wetin go happen.
+* Show say you understand frustration and appreciate effort.
+* No dey build or code for the students, unless dem need physical help.
+
+## Sample Facilitation Language:
+
+* “Ask two other people before you ask me."
+* “Try for another two minutes…"
+* “Make we take break from dis one. Maybe you fit help other students with their electrical connections since you don already figure am out?"
+* “I dey wonder if another student don get dis same problem. Make we check!"
+* "You really put effort for dis and you figure am out! I fit send other students to you make you help dem with dis?"
+* “E dey strange, e no make sense to me too. Maybe we fit ask another student, or if you figure am out you fit share with the class?"
+
+## References
+
+[1] [An empirical study on the effectiveness of College English Reading classroom teaching in the flipped classroom paradigm (researchgate.net)](https://www.researchgate.net/publication/322264495_An_empirical_study_on_the_effectiveness_of_College_English_Reading_classroom_teaching_in_the_flipped_classroom_paradigm). Accessed 4/21/21.
+
+[2] [Flipped Classroom adapted to the ARCS Model of Motivation and applied to a Physics Course (ejmste.com)](https://www.ejmste.com/article/flipped-classroom-adapted-to-the-arcs-model-of-motivation-and-applied-to-a-physics-course-4562). Accessed 4/21/21.
+
+[3] [How Does Flipping Classroom Foster the STEM Education: A Case Study of the FPD Model | SpringerLink](https://link.springer.com/article/10.1007/s10758-020-09443-9). Accessed 4/21/21
+
+[4] [An Introduction to Flipped Learning | Lesley University](https://lesley.edu/article/an-introduction-to-flipped-learning#:~:text=An%20Introduction%20to%20Flipped%20Learning.%20Flipped%20learning%20is,advancements%20in%20the%20modern%20classroom%20is%20flipped%20learning.). Accessed 4/21/21.
+
+---
+
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Disclaimer**:  
+Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pl/README.md b/translations/pl/README.md
index 71e08c57d..ae2c6c20f 100644
--- a/translations/pl/README.md
+++ b/translations/pl/README.md
@@ -1,133 +1,139 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:09:14+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:38:14+00:00",
   "source_file": "README.md",
   "language_code": "pl"
 }
 -->
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-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Obserwujący GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Forki GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Gwiazdy GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Dołącz do społeczności Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Dołącz do społeczności Azure AI Foundry  
 
-Postępuj zgodnie z poniższymi krokami, aby rozpocząć korzystanie z tych zasobów:
-1. **Zrób fork repozytorium**: Kliknij [![Forki GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Sklonuj repozytorium**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Dołącz do Discorda Azure AI Foundry i poznaj ekspertów oraz innych programistów**](https://discord.com/invite/ByRwuEEgH4)
+Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczących się i doświadczonych programistów w dyskusjach o MCP. To wspierająca społeczność, w której pytania są mile widziane, a wiedza jest dzielona bez ograniczeń.  
 
-### 🌐 Wsparcie wielojęzyczne
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Obsługiwane przez GitHub Action (Automatyczne i zawsze aktualne)
+Jeśli masz uwagi dotyczące produktu lub napotkasz błędy podczas budowy, odwiedź:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (uproszczony)](../zh/README.md) | [Chiński (tradycyjny, Hongkong)](../hk/README.md) | [Chiński (tradycyjny, Makau)](../mo/README.md) | [Chiński (tradycyjny, Tajwan)](../tw/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Holenderski](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../br/README.md) | [Portugalski (Portugalia)](../pt/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamilski](../ta/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT dla początkujących - Program nauczania
+Postępuj zgodnie z poniższymi krokami, aby zacząć korzystać z tych zasobów:  
+1. **Sforkuj repozytorium**: Kliknij [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Sklonuj repozytorium**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Dołącz do Microsoft Foundry Discord i poznaj ekspertów oraz innych programistów**](https://discord.com/invite/ByRwuEEgH4)  
 
-Azure Cloud Advocates w Microsoft z przyjemnością oferują 12-tygodniowy, 24-lekcyjny program nauczania dotyczący podstaw IoT. Każda lekcja zawiera quizy przed i po lekcji, pisemne instrukcje do jej ukończenia, rozwiązanie, zadanie i wiele więcej. Nasze podejście oparte na projektach pozwala uczyć się poprzez tworzenie, co jest sprawdzonym sposobem na trwałe przyswajanie nowych umiejętności.
+### 🌐 Wsparcie dla wielu języków  
 
-Projekty obejmują podróż jedzenia od farmy do stołu. Obejmuje to rolnictwo, logistykę, produkcję, handel detaliczny i konsumentów - wszystkie popularne obszary przemysłowe dla urządzeń IoT.
+#### Obsługiwane przez GitHub Action (Automatyczne i zawsze aktualne)  
 
-![Mapa kursu pokazująca 24 lekcje obejmujące wprowadzenie, rolnictwo, transport, przetwarzanie, handel detaliczny i gotowanie](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pl.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](./README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> Sketchnote autorstwa [Nitya Narasimhan](https://github.com/nitya). Kliknij obrazek, aby zobaczyć większą wersję.
+# IoT dla początkujących - Program nauczania  
 
-**Serdeczne podziękowania dla naszych autorów [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) oraz naszej artystki sketchnote [Nitya Narasimhan](https://github.com/nitya).**
+Azure Cloud Advocates w Microsoft z przyjemnością oferują 12-tygodniowy, 24-lekcyjny program nauczania dotyczący podstaw IoT. Każda lekcja zawiera quizy przed i po lekcji, pisemne instrukcje do wykonania lekcji, rozwiązanie, zadanie i wiele więcej. Nasze podejście oparte na projektach pozwala uczyć się poprzez tworzenie, co jest sprawdzonym sposobem na trwałe przyswojenie nowych umiejętności.  
 
-**Podziękowania również dla naszego zespołu [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), którzy recenzowali i tłumaczyli ten program nauczania - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), oraz [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Projekty obejmują podróż jedzenia od farmy do stołu. Obejmuje to rolnictwo, logistykę, produkcję, handel detaliczny i konsumentów - wszystkie popularne obszary przemysłowe dla urządzeń IoT.  
 
-Poznaj zespół!
+![Mapa kursu pokazująca 24 lekcje obejmujące wprowadzenie, rolnictwo, transport, przetwarzanie, handel detaliczny i gotowanie](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pl.jpg)  
 
-[![Film promocyjny](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote autorstwa [Nitya Narasimhan](https://github.com/nitya). Kliknij obrazek, aby zobaczyć większą wersję.  
 
-**Gif autorstwa** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Serdeczne podziękowania dla naszych autorów [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) oraz naszej artystki sketchnote [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Kliknij obrazek powyżej, aby obejrzeć film o projekcie!
+**Dziękujemy również naszemu zespołowi [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), którzy recenzowali i tłumaczyli ten program nauczania - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) oraz [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Nauczyciele**, przygotowaliśmy [kilka sugestii](for-teachers.md) dotyczących wykorzystania tego programu nauczania. Jeśli chcesz stworzyć własne lekcje, dołączyliśmy również [szablon lekcji](lesson-template/README.md).
+Poznaj zespół!  
 
-> **[Studenci](https://aka.ms/student-page)**, aby korzystać z tego programu samodzielnie, zrób fork całego repozytorium i wykonaj ćwiczenia samodzielnie, zaczynając od quizu przed lekcją, następnie czytając lekcję i realizując pozostałe aktywności. Spróbuj stworzyć projekty, rozumiejąc lekcje, zamiast kopiować kod rozwiązania; jednak ten kod jest dostępny w folderach /solutions w każdej lekcji projektowej. Innym pomysłem może być utworzenie grupy naukowej z przyjaciółmi i wspólne przejście przez treści. Do dalszej nauki polecamy [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Film promocyjny](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Aby obejrzeć przegląd kursu, sprawdź ten film:
+**Gif autorstwa** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Film promocyjny](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Film promocyjny")
+> 🎥 Kliknij obrazek powyżej, aby obejrzeć film o projekcie!  
 
-> 🎥 Kliknij obrazek powyżej, aby obejrzeć film o projekcie!
+> **Nauczyciele**, [zamieściliśmy kilka sugestii](for-teachers.md) dotyczących korzystania z tego programu nauczania. Jeśli chcesz stworzyć własne lekcje, zamieściliśmy również [szablon lekcji](lesson-template/README.md).  
 
-## Pedagogika
+> **[Studenci](https://aka.ms/student-page)**, aby korzystać z tego programu samodzielnie, sforkuj całe repozytorium i wykonaj ćwiczenia samodzielnie, zaczynając od quizu przed lekcją, następnie przeczytaj lekcję i wykonaj resztę aktywności. Spróbuj stworzyć projekty, rozumiejąc lekcje, zamiast kopiować kod rozwiązania; jednak ten kod jest dostępny w folderach /solutions w każdej lekcji opartej na projekcie. Innym pomysłem może być utworzenie grupy naukowej z przyjaciółmi i wspólne przejście przez treści. Do dalszej nauki polecamy [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Podczas tworzenia tego programu nauczania wybraliśmy dwa główne założenia pedagogiczne: zapewnienie, że jest on oparty na projektach oraz że zawiera częste quizy. Pod koniec tej serii studenci zbudują system monitorowania i podlewania roślin, tracker pojazdów, inteligentną fabrykę do śledzenia i sprawdzania żywności oraz sterowany głosem timer do gotowania, a także poznają podstawy Internetu Rzeczy, w tym jak pisać kod dla urządzeń, łączyć się z chmurą, analizować telemetrię i uruchamiać AI na urządzeniach brzegowych.
+Aby zobaczyć przegląd kursu w formie wideo, obejrzyj ten film:  
 
-Zapewniając, że treści są zgodne z projektami, proces staje się bardziej angażujący dla studentów, a przyswajanie koncepcji zostaje wzmocnione.
+[![Film promocyjny](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Film promocyjny")  
 
-Dodatkowo, quiz o niskim poziomie trudności przed zajęciami ustawia intencję studenta na naukę danego tematu, podczas gdy drugi quiz po zajęciach zapewnia dalsze utrwalenie. Ten program nauczania został zaprojektowany tak, aby był elastyczny i przyjemny, i można go realizować w całości lub częściowo. Projekty zaczynają się od prostych i stają się coraz bardziej złożone pod koniec 12-tygodniowego cyklu.
+> 🎥 Kliknij obrazek powyżej, aby obejrzeć film o projekcie!  
 
-Każdy projekt opiera się na rzeczywistym sprzęcie dostępnym dla studentów i hobbystów. Każdy projekt bada konkretną dziedzinę projektu, dostarczając odpowiednią wiedzę w tle. Aby odnieść sukces jako programista, warto zrozumieć dziedzinę, w której rozwiązuje się problemy; dostarczanie tej wiedzy w tle pozwala studentom myśleć o swoich rozwiązaniach IoT i nauce w kontekście rodzaju rzeczywistego problemu, który mogą być proszeni o rozwiązanie jako programiści IoT. Studenci uczą się "dlaczego" rozwiązań, które budują, i zyskują zrozumienie użytkownika końcowego.
+## Pedagogika  
 
-## Sprzęt
+Podczas tworzenia tego programu nauczania wybraliśmy dwa główne założenia pedagogiczne: zapewnienie, że jest on oparty na projektach oraz że zawiera częste quizy. Pod koniec tej serii studenci zbudują system monitorowania i podlewania roślin, tracker pojazdów, inteligentną fabrykę do śledzenia i sprawdzania żywności oraz sterowany głosem timer do gotowania, a także poznają podstawy Internetu Rzeczy, w tym jak pisać kod dla urządzeń, łączyć się z chmurą, analizować telemetrię i uruchamiać AI na urządzeniach brzegowych.  
 
-Mamy dwa wybory sprzętu IoT do wykorzystania w projektach, w zależności od osobistych preferencji, znajomości języka programowania lub preferencji, celów nauki i dostępności. Zapewniliśmy również wersję "wirtualnego sprzętu" dla tych, którzy nie mają dostępu do sprzętu lub chcą dowiedzieć się więcej przed podjęciem decyzji o zakupie. Możesz przeczytać więcej i znaleźć "listę zakupów" na [stronie sprzętu](./hardware.md), w tym linki do zakupu kompletnych zestawów od naszych przyjaciół w Seeed Studio.
+Zapewniając, że treści są zgodne z projektami, proces staje się bardziej angażujący dla studentów, a przyswajanie koncepcji zostaje wzmocnione.  
 
-> 💁 Znajdź nasze [Kodeks postępowania](CODE_OF_CONDUCT.md), [Wskazówki dotyczące współpracy](CONTRIBUTING.md) oraz [Wskazówki dotyczące tłumaczeń](TRANSLATIONS.md). Czekamy na Twoje konstruktywne uwagi!
+Dodatkowo, quiz o niskim poziomie trudności przed zajęciami ustawia intencję studenta na naukę danego tematu, podczas gdy drugi quiz po zajęciach zapewnia dalsze przyswajanie wiedzy. Ten program nauczania został zaprojektowany tak, aby był elastyczny i przyjemny, i można go realizować w całości lub częściowo. Projekty zaczynają się od prostych i stają się coraz bardziej złożone pod koniec 12-tygodniowego cyklu.  
 
-## Każda lekcja zawiera:
+Każdy projekt opiera się na rzeczywistym sprzęcie dostępnym dla studentów i hobbystów. Każdy projekt zagłębia się w konkretną dziedzinę projektu, dostarczając odpowiednią wiedzę w tle. Aby odnieść sukces jako programista, warto zrozumieć dziedzinę, w której rozwiązuje się problemy. Dostarczanie tej wiedzy w tle pozwala studentom myśleć o swoich rozwiązaniach IoT i nauce w kontekście rodzaju rzeczywistego problemu, który mogą być proszeni o rozwiązanie jako programiści IoT. Studenci uczą się "dlaczego" rozwiązań, które budują, i zyskują zrozumienie użytkownika końcowego.  
 
-- sketchnote
-- opcjonalny film uzupełniający
-- quiz rozgrzewkowy przed lekcją
-- pisemną lekcję
-- dla lekcji opartych na projektach, przewodniki krok po kroku, jak zbudować projekt
-- sprawdzanie wiedzy
-- wyzwanie
-- dodatkowe materiały do czytania
-- zadanie
-- [quiz po lekcji](https://ff-quizzes.netlify.app/en/)
+## Sprzęt  
 
-> **Uwaga dotycząca quizów**: Wszystkie quizy znajdują się w folderze quiz-app, w sumie 48 quizów po trzy pytania każdy. Są one powiązane z lekcjami, ale aplikacja quizowa może być uruchamiana lokalnie lub wdrażana w Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Są stopniowo lokalizowane.
+Mamy dwa wybory sprzętu IoT do wykorzystania w projektach, w zależności od osobistych preferencji, znajomości języka programowania, celów nauki i dostępności. Zapewniliśmy również wersję "wirtualnego sprzętu" dla tych, którzy nie mają dostępu do sprzętu lub chcą dowiedzieć się więcej przed podjęciem decyzji o zakupie. Możesz przeczytać więcej i znaleźć "listę zakupów" na [stronie sprzętu](./hardware.md), w tym linki do zakupu kompletnych zestawów od naszych przyjaciół w Seeed Studio.  
+
+> 💁 Znajdź nasze [Zasady postępowania](CODE_OF_CONDUCT.md), [Wskazówki dotyczące współpracy](CONTRIBUTING.md) oraz [Wskazówki dotyczące tłumaczeń](TRANSLATIONS.md). Czekamy na Twoje konstruktywne uwagi!  
+
+## Każda lekcja zawiera:  
+
+- sketchnote  
+- opcjonalne dodatkowe wideo  
+- quiz rozgrzewkowy przed lekcją  
+- pisemną lekcję  
+- dla lekcji opartych na projektach, przewodniki krok po kroku, jak zbudować projekt  
+- sprawdzanie wiedzy  
+- wyzwanie  
+- dodatkowe materiały do czytania  
+- zadanie  
+- [quiz po lekcji](https://ff-quizzes.netlify.app/en/)  
+> **Informacja o quizach**: Wszystkie quizy znajdują się w folderze quiz-app, w sumie jest ich 48, każdy składa się z trzech pytań. Są one powiązane z lekcjami, ale aplikację quizową można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane.
 
 ## Lekcje
 
 |       |              Nazwa projektu              |                       Nauczane koncepcje                       | Cele nauki                                                                                                                                                 |                                                        Powiązana lekcja                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Pierwsze kroki](./1-getting-started/README.md) |                     Wprowadzenie do IoT                     | Poznaj podstawowe zasady IoT oraz podstawowe elementy rozwiązań IoT, takie jak czujniki i usługi w chmurze, podczas konfiguracji swojego pierwszego urządzenia IoT |                      [Wprowadzenie do IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Pierwsze kroki](./1-getting-started/README.md) |                   Głębsze spojrzenie na IoT                 | Dowiedz się więcej o komponentach systemu IoT, a także o mikrokontrolerach i komputerach jednopłytkowych                                                           |                        [Głębsze spojrzenie na IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                      |
-|  03   | [Pierwsze kroki](./1-getting-started/README.md) | Interakcja ze światem fizycznym za pomocą czujników i siłowników | Dowiedz się o czujnikach do zbierania danych ze świata fizycznego oraz siłownikach do przesyłania informacji zwrotnej, budując lampkę nocną                        | [Interakcja ze światem fizycznym za pomocą czujników i siłowników](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Pierwsze kroki](./1-getting-started/README.md) |             Podłącz swoje urządzenie do Internetu           | Dowiedz się, jak podłączyć urządzenie IoT do Internetu, aby wysyłać i odbierać wiadomości, podłączając swoją lampkę nocną do brokera MQTT                          |               [Podłącz swoje urządzenie do Internetu](./1-getting-started/lessons/4-connect-internet/README.md)               |
-|  05   |            [Farma](./2-farm/README.md)          |                    Przewidywanie wzrostu roślin             | Dowiedz się, jak przewidywać wzrost roślin na podstawie danych o temperaturze zbieranych przez urządzenie IoT                                                      |                          [Przewidywanie wzrostu roślin](./2-farm/lessons/1-predict-plant-growth/README.md)                   |
-|  06   |            [Farma](./2-farm/README.md)          |                    Wykrywanie wilgotności gleby             | Dowiedz się, jak wykrywać wilgotność gleby i kalibrować czujnik wilgotności gleby                                                                                  |                          [Wykrywanie wilgotności gleby](./2-farm/lessons/2-detect-soil-moisture/README.md)                   |
-|  07   |            [Farma](./2-farm/README.md)          |                  Automatyczne podlewanie roślin             | Dowiedz się, jak automatyzować i ustawiać czas podlewania za pomocą przekaźnika i MQTT                                                                             |                      [Automatyczne podlewanie roślin](./2-farm/lessons/3-automated-plant-watering/README.md)                  |
-|  08   |            [Farma](./2-farm/README.md)          |               Migracja rośliny do chmury                    | Dowiedz się o chmurze i usługach IoT hostowanych w chmurze oraz jak podłączyć swoją roślinę do jednej z nich zamiast do publicznego brokera MQTT                   |               [Migracja rośliny do chmury](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                      |
-|  09   |            [Farma](./2-farm/README.md)          |         Migracja logiki aplikacji do chmury                 | Dowiedz się, jak pisać logikę aplikacji w chmurze, która reaguje na wiadomości IoT                                                                                 |         [Migracja logiki aplikacji do chmury](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)                  |
-|  10   |            [Farma](./2-farm/README.md)          |                   Zabezpiecz swoją roślinę                  | Dowiedz się o bezpieczeństwie w IoT i jak zabezpieczyć swoją roślinę za pomocą kluczy i certyfikatów                                                               |                        [Zabezpiecz swoją roślinę](./2-farm/lessons/6-keep-your-plant-secure/README.md)                        |
-|  11   |       [Transport](./3-transport/README.md)       |                      Śledzenie lokalizacji                  | Dowiedz się o śledzeniu lokalizacji GPS dla urządzeń IoT                                                                                                           |                           [Śledzenie lokalizacji](./3-transport/lessons/1-location-tracking/README.md)                        |
-|  12   |       [Transport](./3-transport/README.md)       |                     Przechowywanie danych lokalizacyjnych   | Dowiedz się, jak przechowywać dane IoT, aby można je było później wizualizować lub analizować                                                                      |                         [Przechowywanie danych lokalizacyjnych](./3-transport/lessons/2-store-location-data/README.md)        |
-|  13   |       [Transport](./3-transport/README.md)       |                   Wizualizacja danych lokalizacyjnych       | Dowiedz się, jak wizualizować dane lokalizacyjne na mapie oraz jak mapy przedstawiają rzeczywisty trójwymiarowy świat w dwóch wymiarach                            |                     [Wizualizacja danych lokalizacyjnych](./3-transport/lessons/3-visualize-location-data/README.md)          |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geosiatki                          | Dowiedz się o geosiatkach i jak można je wykorzystać do powiadamiania, gdy pojazdy w łańcuchu dostaw są blisko celu                                                |                                   [Geosiatki](./3-transport/lessons/4-geofences/README.md)                                    |
-|  15   |   [Produkcja](./4-manufacturing/README.md)       |               Trenowanie detektora jakości owoców           | Dowiedz się, jak trenować klasyfikator obrazów w chmurze do wykrywania jakości owoców                                                                              |                 [Trenowanie detektora jakości owoców](./4-manufacturing/lessons/1-train-fruit-detector/README.md)             |
-|  16   |   [Produkcja](./4-manufacturing/README.md)       |           Sprawdzanie jakości owoców z urządzenia IoT       | Dowiedz się, jak korzystać z detektora jakości owoców z urządzenia IoT                                                                                            |           [Sprawdzanie jakości owoców z urządzenia IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)        |
-|  17   |   [Produkcja](./4-manufacturing/README.md)       |             Uruchamianie detektora owoców na urządzeniu     | Dowiedz się, jak uruchomić detektor owoców na urządzeniu IoT na brzegu sieci                                                                                      |             [Uruchamianie detektora owoców na urządzeniu](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)      |
-|  18   |   [Produkcja](./4-manufacturing/README.md)       |        Wyzwalanie detekcji jakości owoców za pomocą czujnika| Dowiedz się, jak wyzwalać detekcję jakości owoców za pomocą czujnika                                                                                              |        [Wyzwalanie detekcji jakości owoców za pomocą czujnika](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)  |
-|  19   |          [Handel detaliczny](./5-retail/README.md)|                   Trenowanie detektora zapasów              | Dowiedz się, jak używać detekcji obiektów do trenowania detektora zapasów w celu liczenia towarów w sklepie                                                       |                        [Trenowanie detektora zapasów](./5-retail/lessons/1-train-stock-detector/README.md)                    |
-|  20   |          [Handel detaliczny](./5-retail/README.md)|               Sprawdzanie zapasów z urządzenia IoT          | Dowiedz się, jak sprawdzać zapasy z urządzenia IoT za pomocą modelu detekcji obiektów                                                                             |                     [Sprawdzanie zapasów z urządzenia IoT](./5-retail/lessons/2-check-stock-device/README.md)                 |
-|  21   |        [Konsument](./6-consumer/README.md)        |             Rozpoznawanie mowy za pomocą urządzenia IoT     | Dowiedz się, jak rozpoznawać mowę z urządzenia IoT, aby stworzyć inteligentny timer                                                                               |                  [Rozpoznawanie mowy za pomocą urządzenia IoT](./6-consumer/lessons/1-speech-recognition/README.md)           |
-|  22   |        [Konsument](./6-consumer/README.md)        |                     Rozumienie języka                       | Dowiedz się, jak rozumieć zdania wypowiadane do urządzenia IoT                                                                                                    |                        [Rozumienie języka](./6-consumer/lessons/2-language-understanding/README.md)                           |
-|  23   |        [Konsument](./6-consumer/README.md)        |           Ustawianie timera i udzielanie odpowiedzi głosowej| Dowiedz się, jak ustawić timer na urządzeniu IoT i udzielać odpowiedzi głosowej, kiedy timer jest ustawiony i kiedy się kończy                                    |                 [Ustawianie timera i udzielanie odpowiedzi głosowej](./6-consumer/lessons/3-spoken-feedback/README.md)        |
-|  24   |        [Konsument](./6-consumer/README.md)        |                 Obsługa wielu języków                       | Dowiedz się, jak obsługiwać wiele języków, zarówno w komunikacji z urządzeniem, jak i w odpowiedziach z inteligentnego timera                                      |                   [Obsługa wielu języków](./6-consumer/lessons/4-multiple-language-support/README.md)                        |
+|  02   | [Pierwsze kroki](./1-getting-started/README.md) |                   Głębsze spojrzenie na IoT                    | Dowiedz się więcej o komponentach systemu IoT, a także o mikrokontrolerach i komputerach jednopłytkowych                                                            |                        [Głębsze spojrzenie na IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Pierwsze kroki](./1-getting-started/README.md) | Interakcja ze światem fizycznym za pomocą czujników i siłowników | Dowiedz się o czujnikach do zbierania danych ze świata fizycznego oraz siłownikach do wysyłania informacji zwrotnych, budując lampkę nocną                                           | [Interakcja ze światem fizycznym za pomocą czujników i siłowników](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Pierwsze kroki](./1-getting-started/README.md) |             Połącz swoje urządzenie z Internetem             | Dowiedz się, jak połączyć urządzenie IoT z Internetem, aby wysyłać i odbierać wiadomości, podłączając swoją lampkę nocną do brokera MQTT                               |               [Połącz swoje urządzenie z Internetem](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farma](./2-farm/README.md)            |                    Przewidywanie wzrostu roślin                     | Dowiedz się, jak przewidywać wzrost roślin na podstawie danych o temperaturze zbieranych przez urządzenie IoT                                                                                  |                          [Przewidywanie wzrostu roślin](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farma](./2-farm/README.md)            |                    Wykrywanie wilgotności gleby                     | Dowiedz się, jak wykrywać wilgotność gleby i kalibrować czujnik wilgotności gleby                                                                                              |                          [Wykrywanie wilgotności gleby](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farma](./2-farm/README.md)            |                  Automatyczne podlewanie roślin                   | Dowiedz się, jak automatyzować i ustawiać czas podlewania za pomocą przekaźnika i MQTT                                                                                                      |                      [Automatyczne podlewanie roślin](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farma](./2-farm/README.md)            |               Migracja roślin do chmury               | Dowiedz się o chmurze i usługach IoT hostowanych w chmurze oraz jak podłączyć swoją roślinę do jednej z nich zamiast do publicznego brokera MQTT                                   |               [Migracja roślin do chmury](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farma](./2-farm/README.md)            |         Migracja logiki aplikacji do chmury         | Dowiedz się, jak można pisać logikę aplikacji w chmurze, która reaguje na wiadomości IoT                                                                          |         [Migracja logiki aplikacji do chmury](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Farma](./2-farm/README.md)            |                   Zabezpiecz swoją roślinę                    | Dowiedz się o bezpieczeństwie w IoT i jak zabezpieczyć swoją roślinę za pomocą kluczy i certyfikatów                                                                          |                        [Zabezpiecz swoją roślinę](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Śledzenie lokalizacji                      | Dowiedz się o śledzeniu lokalizacji GPS dla urządzeń IoT                                                                                                                   |                           [Śledzenie lokalizacji](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Przechowywanie danych lokalizacyjnych                     | Dowiedz się, jak przechowywać dane IoT, aby można je było później wizualizować lub analizować                                                                                                      |                         [Przechowywanie danych lokalizacyjnych](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Wizualizacja danych lokalizacyjnych                   | Dowiedz się o wizualizacji danych lokalizacyjnych na mapie oraz o tym, jak mapy przedstawiają rzeczywisty trójwymiarowy świat w dwóch wymiarach                                                            |                     [Wizualizacja danych lokalizacyjnych](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofencing                          | Dowiedz się o geofencing, i jak można go używać do powiadamiania, gdy pojazdy w łańcuchu dostaw są blisko celu                                           |                                   [Geofencing](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Produkcja](./4-manufacturing/README.md)   |               Trenowanie detektora jakości owoców                | Dowiedz się, jak trenować klasyfikator obrazów w chmurze, aby wykrywać jakość owoców                                                                                       |                 [Trenowanie detektora jakości owoców](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Produkcja](./4-manufacturing/README.md)   |           Sprawdzanie jakości owoców z urządzenia IoT            | Dowiedz się, jak używać detektora jakości owoców z urządzenia IoT                                                                                                    |           [Sprawdzanie jakości owoców z urządzenia IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Produkcja](./4-manufacturing/README.md)   |             Uruchamianie detektora owoców na urządzeniu brzegowym             | Dowiedz się, jak uruchamiać detektor owoców na urządzeniu IoT na brzegu                                                                                                |             [Uruchamianie detektora owoców na urządzeniu brzegowym](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Produkcja](./4-manufacturing/README.md)   |        Wyzwalanie detekcji jakości owoców za pomocą czujnika        | Dowiedz się, jak wyzwalać detekcję jakości owoców za pomocą czujnika                                                                                                        |        [Wyzwalanie detekcji jakości owoców za pomocą czujnika](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Handel detaliczny](./5-retail/README.md)          |                   Trenowanie detektora zapasów                    | Dowiedz się, jak używać detekcji obiektów do trenowania detektora zapasów w celu liczenia zapasów w sklepie                                                                                |                        [Trenowanie detektora zapasów](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Handel detaliczny](./5-retail/README.md)          |               Sprawdzanie zapasów z urządzenia IoT                | Dowiedz się, jak sprawdzać zapasy z urządzenia IoT za pomocą modelu detekcji obiektów                                                                                         |                     [Sprawdzanie zapasów z urządzenia IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Konsument](./6-consumer/README.md)        |             Rozpoznawanie mowy za pomocą urządzenia IoT             | Dowiedz się, jak rozpoznawać mowę z urządzenia IoT, aby stworzyć inteligentny timer                                                                                             |                  [Rozpoznawanie mowy za pomocą urządzenia IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Konsument](./6-consumer/README.md)        |                     Rozumienie języka                     | Dowiedz się, jak rozumieć zdania wypowiadane do urządzenia IoT                                                                                                           |                        [Rozumienie języka](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Konsument](./6-consumer/README.md)        |           Ustawianie timera i udzielanie odpowiedzi głosowej           | Dowiedz się, jak ustawić timer na urządzeniu IoT i udzielać odpowiedzi głosowej, kiedy timer jest ustawiony i kiedy się kończy                                                    |                 [Ustawianie timera i udzielanie odpowiedzi głosowej](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Konsument](./6-consumer/README.md)        |                 Obsługa wielu języków                  | Dowiedz się, jak obsługiwać wiele języków, zarówno w komunikacji z urządzeniem, jak i w odpowiedziach z inteligentnego timera                                                               |                   [Obsługa wielu języków](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Dostęp offline
 
-Możesz uruchomić tę dokumentację offline, korzystając z [Docsify](https://docsify.js.org/#/). Sforkuj to repozytorium, [zainstaluj Docsify](https://docsify.js.org/#/quickstart) na swoim lokalnym komputerze, a następnie w głównym folderze tego repozytorium wpisz `docsify serve`. Strona internetowa zostanie uruchomiona na porcie 3000 na twoim localhost: `localhost:3000`.
+Możesz uruchomić tę dokumentację offline, korzystając z [Docsify](https://docsify.js.org/#/). Sforkuj to repozytorium, [zainstaluj Docsify](https://docsify.js.org/#/quickstart) na swoim lokalnym komputerze, a następnie w folderze głównym tego repozytorium wpisz `docsify serve`. Strona internetowa zostanie uruchomiona na porcie 3000 na twoim localhost: `localhost:3000`.
 
 ## Quiz
 
@@ -135,16 +141,16 @@ Dziękujemy społeczności za udostępnienie interaktywnego quizu, który sprawd
 
 ### PDF
 
-Możesz wygenerować PDF z tej treści do dostępu offline, jeśli zajdzie taka potrzeba. Aby to zrobić, upewnij się, że masz [zainstalowany npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) i uruchom następujące polecenia w głównym folderze tego repozytorium:
+Możesz wygenerować PDF z tej zawartości do dostępu offline, jeśli zajdzie taka potrzeba. Aby to zrobić, upewnij się, że masz [zainstalowany npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) i uruchom następujące polecenia w folderze głównym tego repozytorium:
 
 ```sh
 npm i
 npm run convert
 ```
 
-### Slajdy
+### Prezentacje
 
-Dla niektórych lekcji dostępne są prezentacje w folderze [slides](../../slides).
+W folderze [slides](../../slides) znajdują się prezentacje dla niektórych lekcji.
 
 
 ## Inne programy nauczania
@@ -163,31 +169,34 @@ Nasz zespół tworzy inne programy nauczania! Sprawdź:
 [![Generatywna AI dla początkujących](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generatywna AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generatywna AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generatywna AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Podstawowe nauczanie
-[![ML dla początkujących](https://img.shields.io/badge/ML%20dla%20początkujących-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science dla początkujących](https://img.shields.io/badge/Data%20Science%20dla%20początkujących-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI dla początkujących](https://img.shields.io/badge/AI%20dla%20początkujących-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cyberbezpieczeństwo dla początkujących](https://img.shields.io/badge/Cyberbezpieczeństwo%20dla%20początkujących-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web Dev dla początkujących](https://img.shields.io/badge/Web%20Dev%20dla%20początkujących-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT dla początkujących](https://img.shields.io/badge/IoT%20dla%20początkujących-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR Development dla początkujących](https://img.shields.io/badge/XR%20Development%20dla%20początkujących-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+### Podstawowa nauka
+[![ML dla początkujących](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Data Science dla początkujących](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![AI dla początkujących](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Cyberbezpieczeństwo dla początkujących](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![Web Dev dla początkujących](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![IoT dla początkujących](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![XR Development dla początkujących](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### Seria Copilot  
-[![Copilot dla programowania w parach z AI](https://img.shields.io/badge/Copilot%20dla%20programowania%20w%20parach%20z%20AI-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot dla C#/.NET](https://img.shields.io/badge/Copilot%20dla%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Przygoda z Copilot](https://img.shields.io/badge/Przygoda%20z%20Copilot-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Seria Copilot
+[![Copilot dla programowania w parach z AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot dla C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+[![Przygoda z Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+<!-- KONIEC INNYCH KURSÓW CO-OP TRANSLATOR -->
 
-## Źródła obrazów  
+## Atrybucje obrazów
 
-Wszystkie źródła obrazów użytych w tym programie nauczania, jeśli wymagane, można znaleźć w [Źródła](./attributions.md).
+Wszystkie atrybucje dla obrazów użytych w tym programie nauczania, jeśli wymagane, można znaleźć w [Atrybucje](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Zastrzeżenie**:  
-Ten dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż staramy się zapewnić dokładność, należy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w jego rodzimym języku powinien być uznawany za autorytatywne źródło. W przypadku informacji krytycznych zaleca się skorzystanie z profesjonalnego tłumaczenia przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.
\ No newline at end of file
+Ten dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż staramy się zapewnić dokładność, prosimy mieć na uwadze, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w jego rodzimym języku powinien być uznawany za źródło autorytatywne. W przypadku informacji krytycznych zaleca się skorzystanie z profesjonalnego tłumaczenia przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/pt/README.md b/translations/pt/README.md
index f24d7c7e6..7f0eef841 100644
--- a/translations/pt/README.md
+++ b/translations/pt/README.md
@@ -1,129 +1,135 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
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-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:07:00+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:34:33+00:00",
   "source_file": "README.md",
   "language_code": "pt"
 }
 -->
-[![Licença GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![Contribuidores GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![Problemas GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![Pull Requests GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Bem-vindos](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![Licença do GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![Contribuidores do GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![Problemas no GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![Pull Requests no GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Bem-vindos](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Observadores GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Estrelas GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![Observadores no GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![Forks no GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Estrelas no GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Junte-se à Comunidade Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Junte-se à Comunidade Azure AI Foundry  
 
-Siga estes passos para começar a usar estes recursos:
-1. **Faça um Fork do Repositório**: Clique [![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone o Repositório**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Junte-se ao Discord do Azure AI Foundry e conheça especialistas e outros desenvolvedores**](https://discord.com/invite/ByRwuEEgH4)
+Se tiver dúvidas ou dificuldades ao criar aplicações de IA, junte-se a outros aprendizes e desenvolvedores experientes em discussões sobre MCP. É uma comunidade acolhedora onde perguntas são bem-vindas e o conhecimento é compartilhado livremente.  
 
-### 🌐 Suporte Multilíngue
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Suporte via GitHub Action (Automatizado e Sempre Atualizado)
+Se tiver feedback sobre produtos ou encontrar erros durante o desenvolvimento, visite:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalês](../ne/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Português (Brasil)](../br/README.md) | [Português (Portugal)](./README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Swahili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT para Iniciantes - Um Currículo
+Siga estes passos para começar a usar estes recursos:  
+1. **Faça um Fork do Repositório**: Clique [![Forks no GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone o Repositório**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Junte-se ao Discord do Microsoft Foundry e conheça especialistas e outros desenvolvedores**](https://discord.com/invite/ByRwuEEgH4)  
 
-Os Azure Cloud Advocates da Microsoft têm o prazer de oferecer um currículo de 12 semanas e 24 lições sobre os fundamentos de IoT. Cada lição inclui questionários antes e depois da aula, instruções escritas para completar a lição, uma solução, um exercício e muito mais. Nossa pedagogia baseada em projetos permite que você aprenda enquanto constrói, uma forma comprovada de fazer novas habilidades "grudarem".
+### 🌐 Suporte Multilíngue  
 
-Os projetos cobrem a jornada dos alimentos desde a fazenda até a mesa. Isso inclui agricultura, logística, fabricação, varejo e consumidor - todas áreas populares da indústria para dispositivos IoT.
+#### Suportado via GitHub Action (Automatizado e Sempre Atualizado)  
 
-![Um mapa do curso mostrando 24 lições cobrindo introdução, agricultura, transporte, processamento, varejo e culinária](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pt.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalês](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Português (Brasil)](../br/README.md) | [Português (Portugal)](./README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Swahili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> Sketchnote por [Nitya Narasimhan](https://github.com/nitya). Clique na imagem para uma versão maior.
+# IoT para Iniciantes - Um Currículo  
 
-**Agradecimentos especiais aos nossos autores [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), e à nossa artista de sketchnote [Nitya Narasimhan](https://github.com/nitya).**
+Os Azure Cloud Advocates da Microsoft têm o prazer de oferecer um currículo de 12 semanas e 24 lições sobre os fundamentos de IoT. Cada lição inclui questionários antes e depois da aula, instruções escritas para completar a lição, uma solução, um exercício e muito mais. Nossa abordagem baseada em projetos permite que você aprenda enquanto constrói, uma forma comprovada de fixar novas habilidades.  
 
-**Agradecimentos também à nossa equipe de [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) que têm revisado e traduzido este currículo - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), e [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Os projetos cobrem a jornada dos alimentos desde a produção até a mesa. Isso inclui agricultura, logística, fabricação, varejo e consumidor - todas áreas populares para dispositivos IoT.  
 
-Conheça a equipe!
+![Um mapa do curso mostrando 24 lições cobrindo introdução, agricultura, transporte, processamento, varejo e culinária](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.pt.jpg)  
 
-[![Vídeo promocional](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote por [Nitya Narasimhan](https://github.com/nitya). Clique na imagem para uma versão maior.  
 
-**Gif por** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Um agradecimento especial aos nossos autores [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), e à nossa artista de sketchnotes [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Clique na imagem acima para um vídeo sobre o projeto!
+**Agradecemos também à nossa equipe de [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) que revisaram e traduziram este currículo - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), e [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Professores**, incluímos [algumas sugestões](for-teachers.md) sobre como usar este currículo. Se quiser criar suas próprias lições, também incluímos um [modelo de lição](lesson-template/README.md).
+Conheça a equipe!  
 
-> **[Estudantes](https://aka.ms/student-page)**, para usar este currículo por conta própria, faça um fork do repositório inteiro e complete os exercícios por conta própria, começando com um questionário antes da aula, depois lendo a aula e completando o restante das atividades. Tente criar os projetos compreendendo as lições em vez de copiar o código da solução; no entanto, esse código está disponível nas pastas /solutions em cada lição orientada a projetos. Outra ideia seria formar um grupo de estudo com amigos e passar pelo conteúdo juntos. Para estudo adicional, recomendamos [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Vídeo promocional](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Para uma visão geral em vídeo deste curso, confira este vídeo:
+**Gif por** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Vídeo promocional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Vídeo promocional")
+> 🎥 Clique na imagem acima para assistir a um vídeo sobre o projeto!  
 
-> 🎥 Clique na imagem acima para um vídeo sobre o projeto!
+> **Professores**, incluímos [algumas sugestões](for-teachers.md) sobre como usar este currículo. Se quiser criar suas próprias lições, também incluímos um [modelo de lição](lesson-template/README.md).  
 
-## Pedagogia
+> **[Estudantes](https://aka.ms/student-page)**, para usar este currículo por conta própria, faça um fork do repositório inteiro e complete os exercícios por conta própria, começando com um questionário pré-aula, depois lendo a aula e completando o restante das atividades. Tente criar os projetos compreendendo as lições em vez de copiar o código da solução; no entanto, esse código está disponível nas pastas /solutions em cada lição baseada em projetos. Outra ideia seria formar um grupo de estudo com amigos e passar pelo conteúdo juntos. Para estudo adicional, recomendamos [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Escolhemos dois princípios pedagógicos ao construir este currículo: garantir que seja baseado em projetos e que inclua questionários frequentes. Ao final desta série, os estudantes terão construído um sistema de monitoramento e irrigação de plantas, um rastreador de veículos, uma configuração de fábrica inteligente para rastrear e verificar alimentos, e um temporizador de cozinha controlado por voz, além de terem aprendido os fundamentos da Internet das Coisas, incluindo como escrever código para dispositivos, conectar-se à nuvem, analisar telemetria e executar IA na borda.
+Para uma visão geral em vídeo deste curso, confira este vídeo:  
 
-Ao garantir que o conteúdo esteja alinhado com projetos, o processo torna-se mais envolvente para os estudantes e a retenção dos conceitos será aumentada.
+[![Vídeo promocional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Vídeo promocional")  
 
-Além disso, um questionário de baixa pressão antes de uma aula define a intenção do estudante em aprender um tópico, enquanto um segundo questionário após a aula garante maior retenção. Este currículo foi projetado para ser flexível e divertido e pode ser realizado em sua totalidade ou em partes. Os projetos começam pequenos e tornam-se cada vez mais complexos ao final do ciclo de 12 semanas.
+> 🎥 Clique na imagem acima para assistir a um vídeo sobre o projeto!  
 
-Cada projeto é baseado em hardware real disponível para estudantes e entusiastas. Cada projeto explora o domínio específico do projeto, fornecendo conhecimento relevante de base. Para ser um desenvolvedor bem-sucedido, é útil entender o domínio em que você está resolvendo problemas; fornecer esse conhecimento de base permite que os estudantes pensem sobre suas soluções de IoT e aprendizados no contexto do tipo de problema real que podem ser solicitados a resolver como desenvolvedores de IoT. Os estudantes aprendem o 'porquê' das soluções que estão construindo e ganham uma apreciação do usuário final.
+## Pedagogia  
 
-## Hardware
+Escolhemos dois princípios pedagógicos ao construir este currículo: garantir que seja baseado em projetos e que inclua questionários frequentes. Ao final desta série, os estudantes terão construído um sistema de monitoramento e irrigação de plantas, um rastreador de veículos, uma configuração de fábrica inteligente para rastrear e verificar alimentos, e um temporizador de cozinha controlado por voz, além de terem aprendido os fundamentos da Internet das Coisas, incluindo como escrever código para dispositivos, conectar-se à nuvem, analisar telemetria e executar IA na borda.  
 
-Temos duas opções de hardware IoT para usar nos projetos, dependendo da preferência pessoal, conhecimento ou preferências de linguagem de programação, objetivos de aprendizado e disponibilidade. Também fornecemos uma versão de 'hardware virtual' para aqueles que não têm acesso ao hardware ou querem aprender mais antes de se comprometerem com uma compra. Você pode ler mais e encontrar uma 'lista de compras' na [página de hardware](./hardware.md), incluindo links para comprar kits completos com nossos amigos da Seeed Studio.
+Ao garantir que o conteúdo esteja alinhado com projetos, o processo torna-se mais envolvente para os estudantes e a retenção dos conceitos será aumentada.  
 
-> 💁 Encontre nosso [Código de Conduta](CODE_OF_CONDUCT.md), [Contribuição](CONTRIBUTING.md), e diretrizes de [Tradução](TRANSLATIONS.md). Agradecemos seu feedback construtivo!
+Além disso, um questionário de baixo impacto antes da aula define a intenção do estudante em aprender um tópico, enquanto um segundo questionário após a aula garante maior retenção. Este currículo foi projetado para ser flexível e divertido e pode ser realizado na íntegra ou em partes. Os projetos começam pequenos e tornam-se cada vez mais complexos ao final do ciclo de 12 semanas.  
 
-## Cada lição inclui:
+Cada projeto é baseado em hardware real disponível para estudantes e entusiastas. Cada projeto explora o domínio específico do projeto, fornecendo conhecimento relevante. Para ser um desenvolvedor bem-sucedido, é útil entender o domínio em que você está resolvendo problemas; fornecer esse conhecimento de base permite que os estudantes pensem sobre suas soluções de IoT e aprendizados no contexto do tipo de problema real que podem ser solicitados a resolver como desenvolvedores de IoT. Os estudantes aprendem o 'porquê' das soluções que estão construindo e ganham uma apreciação pelo usuário final.  
 
-- sketchnote
-- vídeo suplementar opcional
-- questionário de aquecimento antes da aula
-- lição escrita
-- para lições baseadas em projetos, guias passo a passo sobre como construir o projeto
-- verificações de conhecimento
-- um desafio
-- leitura suplementar
-- tarefa
-- [questionário pós-aula](https://ff-quizzes.netlify.app/en/)
+## Hardware  
 
-> **Uma nota sobre os questionários**: Todos os questionários estão contidos na pasta quiz-app, totalizando 48 questionários de três perguntas cada. Eles estão vinculados dentro das lições, mas o aplicativo de questionários pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
+Temos duas opções de hardware IoT para usar nos projetos, dependendo da preferência pessoal, conhecimento ou preferências de linguagem de programação, objetivos de aprendizado e disponibilidade. Também fornecemos uma versão de 'hardware virtual' para aqueles que não têm acesso ao hardware ou querem aprender mais antes de decidir por uma compra. Você pode ler mais e encontrar uma 'lista de compras' na [página de hardware](./hardware.md), incluindo links para comprar kits completos com nossos amigos da Seeed Studio.  
+
+> 💁 Encontre nosso [Código de Conduta](CODE_OF_CONDUCT.md), [Contribuições](CONTRIBUTING.md), e diretrizes de [Tradução](TRANSLATIONS.md). Agradecemos seu feedback construtivo!  
+
+## Cada lição inclui:  
+
+- sketchnote  
+- vídeo opcional complementar  
+- questionário de aquecimento antes da aula  
+- lição escrita  
+- para lições baseadas em projetos, guias passo a passo sobre como construir o projeto  
+- verificações de conhecimento  
+- um desafio  
+- leitura complementar  
+- exercício  
+- [questionário pós-aula](https://ff-quizzes.netlify.app/en/)  
+> **Uma nota sobre os questionários**: Todos os questionários estão contidos na pasta quiz-app, totalizando 48 questionários com três perguntas cada. Eles estão vinculados dentro das lições, mas a aplicação de questionários pode ser executada localmente ou implantada no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
 
 ## Lições
 
-|       |              Nome do Projeto              |                       Conceitos Ensinados                       | Objetivos de Aprendizagem                                                                                                                                                 |                                                        Lição Vinculada                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Introdução](./1-getting-started/README.md) |                     Introdução ao IoT                     | Aprenda os princípios básicos do IoT e os elementos fundamentais das soluções IoT, como sensores e serviços na nuvem, enquanto configura o seu primeiro dispositivo IoT |                      [Introdução ao IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Introdução](./1-getting-started/README.md) |                   Um mergulho mais profundo no IoT                    | Saiba mais sobre os componentes de um sistema IoT, bem como microcontroladores e computadores de placa única                                                            |                        [Um mergulho mais profundo no IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Introdução](./1-getting-started/README.md) | Interagir com o mundo físico com sensores e atuadores | Aprenda sobre sensores para coletar dados do mundo físico e atuadores para enviar feedback, enquanto constrói uma luz noturna                                           | [Interagir com o mundo físico com sensores e atuadores](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Introdução](./1-getting-started/README.md) |             Conectar o seu dispositivo à Internet             | Aprenda como conectar um dispositivo IoT à Internet para enviar e receber mensagens, conectando a sua luz noturna a um broker MQTT                               |               [Conectar o seu dispositivo à Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Agricultura](./2-farm/README.md)            |                    Prever o crescimento das plantas                     | Aprenda como prever o crescimento das plantas usando dados de temperatura capturados por um dispositivo IoT                                                                                  |                          [Prever o crescimento das plantas](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Agricultura](./2-farm/README.md)            |                    Detectar a humidade do solo                     | Aprenda como detectar a humidade do solo e calibrar um sensor de humidade do solo                                                                                              |                          [Detectar a humidade do solo](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Agricultura](./2-farm/README.md)            |                  Rega automatizada de plantas                   | Aprenda como automatizar e programar a rega usando um relé e MQTT                                                                                                      |                      [Rega automatizada de plantas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Agricultura](./2-farm/README.md)            |               Migrar a sua planta para a nuvem               | Aprenda sobre a nuvem e serviços IoT hospedados na nuvem e como conectar a sua planta a um deles em vez de um broker MQTT público                                   |               [Migrar a sua planta para a nuvem](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Agricultura](./2-farm/README.md)            |         Migrar a lógica da sua aplicação para a nuvem         | Aprenda como escrever lógica de aplicação na nuvem que responde a mensagens IoT                                                                          |         [Migrar a lógica da sua aplicação para a nuvem](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Agricultura](./2-farm/README.md)            |                   Manter a sua planta segura                    | Aprenda sobre segurança no IoT e como manter a sua planta segura com chaves e certificados                                                                          |                        [Manter a sua planta segura](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transporte](./3-transport/README.md)       |                      Rastreamento de localização                      | Aprenda sobre rastreamento de localização GPS para dispositivos IoT                                                                                                                   |                           [Rastreamento de localização](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transporte](./3-transport/README.md)       |                     Armazenar dados de localização                     | Aprenda como armazenar dados IoT para serem visualizados ou analisados posteriormente                                                                                                      |                         [Armazenar dados de localização](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transporte](./3-transport/README.md)       |                   Visualizar dados de localização                   | Aprenda sobre como visualizar dados de localização num mapa e como os mapas representam o mundo real em 3D em duas dimensões                                                            |                     [Visualizar dados de localização](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transporte](./3-transport/README.md)       |                          Geocercas                          | Aprenda sobre geocercas e como podem ser usadas para alertar quando veículos na cadeia de fornecimento estão próximos do destino                                           |                                   [Geocercas](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufatura](./4-manufacturing/README.md)   |               Treinar um detector de qualidade de frutas                | Aprenda como treinar um classificador de imagens na nuvem para detectar a qualidade das frutas                                                                                       |                 [Treinar um detector de qualidade de frutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufatura](./4-manufacturing/README.md)   |           Verificar a qualidade das frutas a partir de um dispositivo IoT            | Aprenda como usar o seu detector de qualidade de frutas a partir de um dispositivo IoT                                                                                                    |           [Verificar a qualidade das frutas a partir de um dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Manufatura](./4-manufacturing/README.md)   |             Executar o seu detector de frutas na borda             | Aprenda como executar o seu detector de frutas num dispositivo IoT na borda                                                                                                |             [Executar o seu detector de frutas na borda](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufatura](./4-manufacturing/README.md)   |        Acionar a deteção de qualidade de frutas a partir de um sensor        | Aprenda como acionar a deteção de qualidade de frutas a partir de um sensor                                                                                                        |        [Acionar a deteção de qualidade de frutas a partir de um sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Retalho](./5-retail/README.md)          |                   Treinar um detector de stock                    | Aprenda como usar deteção de objetos para treinar um detector de stock para contar o stock numa loja                                                                                |                        [Treinar um detector de stock](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Retalho](./5-retail/README.md)          |               Verificar o stock a partir de um dispositivo IoT                | Aprenda como verificar o stock a partir de um dispositivo IoT usando um modelo de deteção de objetos                                                                                         |                     [Verificar o stock a partir de um dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumidor](./6-consumer/README.md)        |             Reconhecer fala com um dispositivo IoT             | Aprenda como reconhecer fala a partir de um dispositivo IoT para construir um temporizador inteligente                                                                                             |                  [Reconhecer fala com um dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consumidor](./6-consumer/README.md)        |                     Compreender linguagem                     | Aprenda como compreender frases faladas para um dispositivo IoT                                                                                                           |                        [Compreender linguagem](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumidor](./6-consumer/README.md)        |           Definir um temporizador e fornecer feedback falado           | Aprenda como definir um temporizador num dispositivo IoT e dar feedback falado sobre quando o temporizador é definido e quando termina                                                    |                 [Definir um temporizador e fornecer feedback falado](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumidor](./6-consumer/README.md)        |                 Suportar múltiplos idiomas                  | Aprenda como suportar múltiplos idiomas, tanto para serem falados como para as respostas do seu temporizador inteligente                                                               |                   [Suportar múltiplos idiomas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Nome do Projeto              |                       Conceitos Ensinados                       | Objetivos de Aprendizagem                                                                                                                                           |                                                        Lição Vinculada                                                         |
+| :---: | :---------------------------------------: | :-------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Introdução](./1-getting-started/README.md) |                     Introdução ao IoT                     | Aprenda os princípios básicos do IoT e os blocos fundamentais das soluções IoT, como sensores e serviços na nuvem, enquanto configura o seu primeiro dispositivo IoT |                      [Introdução ao IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Introdução](./1-getting-started/README.md) |                   Um mergulho mais profundo no IoT                    | Aprenda mais sobre os componentes de um sistema IoT, bem como microcontroladores e computadores de placa única                                                      |                        [Um mergulho mais profundo no IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Introdução](./1-getting-started/README.md) | Interagir com o mundo físico com sensores e atuadores | Aprenda sobre sensores para coletar dados do mundo físico e atuadores para enviar feedback, enquanto constrói uma luz noturna                                      | [Interagir com o mundo físico com sensores e atuadores](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Introdução](./1-getting-started/README.md) |             Conecte seu dispositivo à Internet             | Aprenda como conectar um dispositivo IoT à Internet para enviar e receber mensagens, conectando sua luz noturna a um broker MQTT                                   |               [Conecte seu dispositivo à Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Agricultura](./2-farm/README.md)            |                    Prever o crescimento das plantas                     | Aprenda como prever o crescimento das plantas usando dados de temperatura capturados por um dispositivo IoT                                                        |                          [Prever o crescimento das plantas](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Agricultura](./2-farm/README.md)            |                    Detectar umidade do solo                     | Aprenda como detectar a umidade do solo e calibrar um sensor de umidade do solo                                                                                     |                          [Detectar umidade do solo](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Agricultura](./2-farm/README.md)            |                  Irrigação automatizada de plantas                   | Aprenda como automatizar e programar a irrigação usando um relé e MQTT                                                                                              |                      [Irrigação automatizada de plantas](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Agricultura](./2-farm/README.md)            |               Migrar sua planta para a nuvem               | Aprenda sobre a nuvem e serviços IoT hospedados na nuvem e como conectar sua planta a um deles em vez de um broker MQTT público                                    |               [Migrar sua planta para a nuvem](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Agricultura](./2-farm/README.md)            |         Migrar a lógica da sua aplicação para a nuvem         | Aprenda como escrever lógica de aplicação na nuvem que responde a mensagens IoT                                                                                     |         [Migrar a lógica da sua aplicação para a nuvem](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Agricultura](./2-farm/README.md)            |                   Mantenha sua planta segura                    | Aprenda sobre segurança no IoT e como manter sua planta segura com chaves e certificados                                                                           |                        [Mantenha sua planta segura](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transporte](./3-transport/README.md)       |                      Rastreamento de localização                      | Aprenda sobre rastreamento de localização GPS para dispositivos IoT                                                                                                 |                           [Rastreamento de localização](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transporte](./3-transport/README.md)       |                     Armazenar dados de localização                     | Aprenda como armazenar dados IoT para serem visualizados ou analisados posteriormente                                                                              |                         [Armazenar dados de localização](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transporte](./3-transport/README.md)       |                   Visualizar dados de localização                   | Aprenda sobre como visualizar dados de localização em um mapa e como os mapas representam o mundo 3D real em 2 dimensões                                           |                     [Visualizar dados de localização](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transporte](./3-transport/README.md)       |                          Geofences                          | Aprenda sobre geofences e como eles podem ser usados para alertar quando veículos na cadeia de suprimentos estão próximos ao destino                               |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Manufatura](./4-manufacturing/README.md)   |               Treinar um detector de qualidade de frutas                | Aprenda sobre como treinar um classificador de imagens na nuvem para detectar a qualidade das frutas                                                               |                 [Treinar um detector de qualidade de frutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Manufatura](./4-manufacturing/README.md)   |           Verificar a qualidade das frutas a partir de um dispositivo IoT            | Aprenda como usar seu detector de qualidade de frutas a partir de um dispositivo IoT                                                                               |           [Verificar a qualidade das frutas a partir de um dispositivo IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Manufatura](./4-manufacturing/README.md)   |             Executar seu detector de frutas na borda             | Aprenda como executar seu detector de frutas em um dispositivo IoT na borda                                                                                        |             [Executar seu detector de frutas na borda](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Manufatura](./4-manufacturing/README.md)   |        Acionar a detecção de qualidade de frutas a partir de um sensor        | Aprenda como acionar a detecção de qualidade de frutas a partir de um sensor                                                                                       |        [Acionar a detecção de qualidade de frutas a partir de um sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Varejo](./5-retail/README.md)          |                   Treinar um detector de estoque                    | Aprenda como usar a detecção de objetos para treinar um detector de estoque para contar itens em uma loja                                                          |                        [Treinar um detector de estoque](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Varejo](./5-retail/README.md)          |               Verificar estoque a partir de um dispositivo IoT                | Aprenda como verificar o estoque a partir de um dispositivo IoT usando um modelo de detecção de objetos                                                            |                     [Verificar estoque a partir de um dispositivo IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consumidor](./6-consumer/README.md)        |             Reconhecer fala com um dispositivo IoT             | Aprenda como reconhecer fala a partir de um dispositivo IoT para construir um temporizador inteligente                                                             |                  [Reconhecer fala com um dispositivo IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Consumidor](./6-consumer/README.md)        |                     Compreender linguagem                     | Aprenda como compreender frases faladas para um dispositivo IoT                                                                                                    |                        [Compreender linguagem](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Consumidor](./6-consumer/README.md)        |           Configurar um temporizador e fornecer feedback falado           | Aprenda como configurar um temporizador em um dispositivo IoT e dar feedback falado sobre quando o temporizador é configurado e quando termina                     |                 [Configurar um temporizador e fornecer feedback falado](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consumidor](./6-consumer/README.md)        |                 Suportar múltiplos idiomas                  | Aprenda como suportar múltiplos idiomas, tanto os falados quanto as respostas do seu temporizador inteligente                                                      |                   [Suportar múltiplos idiomas](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Acesso offline
 
@@ -131,11 +137,11 @@ Pode executar esta documentação offline utilizando [Docsify](https://docsify.j
 
 ## Questionário
 
-Obrigado à comunidade por hospedar o questionário interativo que testa os seus conhecimentos sobre cada um dos capítulos. Pode testar os seus conhecimentos [aqui](https://ff-quizzes.netlify.app/en/) 
+Agradecemos à comunidade por hospedar o questionário interativo que testa seus conhecimentos sobre cada capítulo. Teste seus conhecimentos [aqui](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Pode gerar um PDF deste conteúdo para acesso offline, se necessário. Para isso, certifique-se de que tem [npm instalado](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) e execute os seguintes comandos na pasta raiz deste repositório:
+Pode gerar um PDF deste conteúdo para acesso offline, se necessário. Para isso, certifique-se de ter [npm instalado](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) e execute os seguintes comandos na pasta raiz deste repositório:
 
 ```sh
 npm i
@@ -146,12 +152,10 @@ npm run convert
 
 Existem apresentações para algumas das lições na pasta [slides](../../slides).
 
-
 ## Outros Currículos
 
-A nossa equipa produz outros currículos! Confira:
+Nossa equipe produz outros currículos! Confira:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agentes
 [![AZD para Iniciantes](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI para Iniciantes](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,7 +163,7 @@ A nossa equipa produz outros currículos! Confira:
 [![Agentes de IA para Iniciantes](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Série de IA Generativa
 [![IA Generativa para Iniciantes](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![IA Generativa (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
@@ -167,28 +171,31 @@ A nossa equipa produz outros currículos! Confira:
 [![IA Generativa (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Aprendizagem Fundamental
-[![ML para Iniciantes](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Ciência de Dados para Iniciantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IA para Iniciantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cibersegurança para Iniciantes](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Desenvolvimento Web para Iniciantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT para Iniciantes](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Desenvolvimento XR para Iniciantes](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Aprendizagem Essencial
+[![ML para Iniciantes](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Ciência de Dados para Iniciantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![IA para Iniciantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cibersegurança para Iniciantes](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Desenvolvimento Web para Iniciantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT para Iniciantes](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Desenvolvimento XR para Iniciantes](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Série Copilot  
-[![Copilot para Programação em Par com IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Série Copilot
+[![Copilot para Programação em Par com IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Atribuições de imagens  
+## Atribuições de imagens
 
-Pode encontrar todas as atribuições das imagens utilizadas neste currículo, quando necessário, em [Atribuições](./attributions.md).  
+Pode encontrar todas as atribuições das imagens utilizadas neste currículo, quando necessário, em [Atribuições](./attributions.md).
 
 ---
 
-**Aviso**:  
-Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos pela precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original na sua língua nativa deve ser considerado a fonte autoritária. Para informações críticas, recomenda-se uma tradução profissional realizada por humanos. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Aviso Legal**:  
+Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original no seu idioma nativo deve ser considerado a fonte autoritária. Para informações críticas, recomenda-se uma tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas resultantes do uso desta tradução.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ro/README.md b/translations/ro/README.md
index d5b797ac7..ecaa8671a 100644
--- a/translations/ro/README.md
+++ b/translations/ro/README.md
@@ -1,142 +1,145 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:23:44+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:04:36+00:00",
   "source_file": "README.md",
   "language_code": "ro"
 }
 -->
-[![Licență GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![Contributori GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![Probleme GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![Pull-requests GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PR-uri Binevenite](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![Licență GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![Contribuitori GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![Probleme GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![Pull-requests GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PR-uri Binevenite](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Observatori GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Fork-uri GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Stele GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![Observatori GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![Fork-uri GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Stele GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Alătură-te comunității Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Alătură-te Comunității Azure AI Foundry  
 
-Urmează acești pași pentru a începe să folosești aceste resurse:
-1. **Forkează Repozitoriul**: Click [![Fork-uri GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clonează Repozitoriul**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Alătură-te Discord-ului Azure AI Foundry și întâlnește experți și alți dezvoltatori**](https://discord.com/invite/ByRwuEEgH4)
+Dacă întâmpini dificultăți sau ai întrebări despre construirea aplicațiilor AI, alătură-te altor cursanți și dezvoltatori experimentați în discuții despre MCP. Este o comunitate de sprijin unde întrebările sunt binevenite și cunoștințele sunt împărtășite liber.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Suport Multilingv
+Dacă ai feedback despre produs sau întâmpini erori în timpul construirii, vizitează:  
 
-#### Suportat prin GitHub Action (Automat & Mereu Actualizat)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabă](../ar/README.md) | [Bengaleză](../bn/README.md) | [Bulgară](../bg/README.md) | [Birmană (Myanmar)](../my/README.md) | [Chineză (Simplificată)](../zh/README.md) | [Chineză (Tradițională, Hong Kong)](../hk/README.md) | [Chineză (Tradițională, Macau)](../mo/README.md) | [Chineză (Tradițională, Taiwan)](../tw/README.md) | [Croată](../hr/README.md) | [Cehă](../cs/README.md) | [Daneză](../da/README.md) | [Olandeză](../nl/README.md) | [Estonă](../et/README.md) | [Finlandeză](../fi/README.md) | [Franceză](../fr/README.md) | [Germană](../de/README.md) | [Greacă](../el/README.md) | [Ebraică](../he/README.md) | [Hindi](../hi/README.md) | [Maghiară](../hu/README.md) | [Indoneziană](../id/README.md) | [Italiană](../it/README.md) | [Japoneză](../ja/README.md) | [Coreeană](../ko/README.md) | [Lituaniană](../lt/README.md) | [Malayeză](../ms/README.md) | [Marathi](../mr/README.md) | [Nepaleză](../ne/README.md) | [Norvegiană](../no/README.md) | [Persană (Farsi)](../fa/README.md) | [Poloneză](../pl/README.md) | [Portugheză (Brazilia)](../br/README.md) | [Portugheză (Portugalia)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Română](./README.md) | [Rusă](../ru/README.md) | [Sârbă (Chirilică)](../sr/README.md) | [Slovacă](../sk/README.md) | [Slovenă](../sl/README.md) | [Spaniolă](../es/README.md) | [Swahili](../sw/README.md) | [Suedeză](../sv/README.md) | [Tagalog (Filipineză)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailandeză](../th/README.md) | [Turcă](../tr/README.md) | [Ucraineană](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnameză](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Urmează acești pași pentru a începe să folosești aceste resurse:  
+1. **Forkează Repozitoriul**: Click [![Fork-uri GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clonează Repozitoriul**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Alătură-te Discordului Microsoft Foundry și întâlnește experți și alți dezvoltatori**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT pentru Începători - Un Curriculum
+### 🌐 Suport Multi-Limbă  
 
-Advocații Cloud Azure de la Microsoft sunt încântați să ofere un curriculum de 12 săptămâni, cu 24 de lecții despre bazele IoT. Fiecare lecție include teste înainte și după lecție, instrucțiuni scrise pentru a finaliza lecția, o soluție, o temă și multe altele. Pedagogia noastră bazată pe proiecte îți permite să înveți în timp ce construiești, o metodă dovedită pentru ca noile abilități să fie reținute.
+#### Suportat prin GitHub Action (Automat & Mereu Actualizat)  
 
-Proiectele acoperă călătoria alimentelor de la fermă la masă. Acest lucru include agricultură, logistică, producție, retail și consumator - toate domenii populare pentru dispozitivele IoT.
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](./README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
 
-![O hartă a cursului care arată 24 de lecții ce acoperă introducerea, agricultura, transportul, procesarea, retailul și gătitul](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ro.jpg)
+# IoT pentru Începători - Un Curriculum  
 
-> Sketchnote de [Nitya Narasimhan](https://github.com/nitya). Click pe imagine pentru o versiune mai mare.
+Advocații Cloud Azure de la Microsoft sunt încântați să ofere un curriculum de 12 săptămâni, cu 24 de lecții despre bazele IoT. Fiecare lecție include teste înainte și după lecție, instrucțiuni scrise pentru a finaliza lecția, o soluție, o temă și multe altele. Pedagogia noastră bazată pe proiecte îți permite să înveți construind, o metodă dovedită pentru a fixa noile abilități.  
 
-**Mulțumiri sincere autorilor noștri [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), și artistului nostru de sketchnote [Nitya Narasimhan](https://github.com/nitya).**
+Proiectele acoperă traseul alimentelor de la fermă la masă. Acest lucru include agricultură, logistică, producție, retail și consumator - toate fiind domenii populare pentru dispozitivele IoT.  
 
-**Mulțumiri de asemenea echipei noastre de [Ambasadori Studenți Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) care au revizuit și tradus acest curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), și [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![O hartă a cursului care arată 24 de lecții acoperind introducerea, agricultura, transportul, procesarea, retailul și gătitul](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ro.jpg)  
 
-Cunoaște echipa!
+> Sketchnote de [Nitya Narasimhan](https://github.com/nitya). Click pe imagine pentru o versiune mai mare.  
 
-[![Video promoțional](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Mulțumiri sincere autorilor noștri [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), și artistului nostru de sketchnote [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif de** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**De asemenea, mulțumiri echipei noastre de [Ambasadori Studenți Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) care au revizuit și tradus acest curriculum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), și [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Click pe imaginea de mai sus pentru un video despre proiect!
+Cunoaște echipa!  
 
-> **Profesori**, am [inclus câteva sugestii](for-teachers.md) despre cum să folosiți acest curriculum. Dacă doriți să creați propriile lecții, am inclus și un [șablon de lecție](lesson-template/README.md).
+[![Video promoțional](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Studenți](https://aka.ms/student-page)**, pentru a folosi acest curriculum pe cont propriu, forkați întregul repo și completați exercițiile pe cont propriu, începând cu un test înainte de lecție, apoi citind lecția și completând restul activităților. Încercați să creați proiectele înțelegând lecțiile, mai degrabă decât copierea codului soluției; totuși, acel cod este disponibil în folderele /solutions din fiecare lecție bazată pe proiect. O altă idee ar fi să formați un grup de studiu cu prietenii și să parcurgeți conținutul împreună. Pentru studii suplimentare, recomandăm [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+**Gif de** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-Pentru o prezentare video a acestui curs, verificați acest video:
+> 🎥 Click pe imaginea de mai sus pentru un video despre proiect!  
 
-[![Video promoțional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video promoțional")
+> **Profesori**, am [inclus câteva sugestii](for-teachers.md) despre cum să folosiți acest curriculum. Dacă doriți să creați propriile lecții, am inclus și un [șablon de lecție](lesson-template/README.md).  
 
-> 🎥 Click pe imaginea de mai sus pentru un video despre proiect!
+> **[Studenți](https://aka.ms/student-page)**, pentru a folosi acest curriculum pe cont propriu, forkați întregul repo și completați exercițiile pe cont propriu, începând cu un test înainte de lecție, apoi citind lecția și completând restul activităților. Încercați să creați proiectele înțelegând lecțiile, mai degrabă decât copierea codului soluției; totuși, acel cod este disponibil în folderele /solutions din fiecare lecție orientată pe proiect. O altă idee ar fi să formați un grup de studiu cu prietenii și să parcurgeți conținutul împreună. Pentru studii suplimentare, recomandăm [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-## Pedagogie
+Pentru o prezentare video a acestui curs, verificați acest video:  
 
-Am ales două principii pedagogice în timp ce am construit acest curriculum: asigurarea că este bazat pe proiecte și că include teste frecvente. Până la sfârșitul acestei serii, studenții vor fi construit un sistem de monitorizare și udare a plantelor, un tracker de vehicule, un setup de fabrică inteligent pentru a urmări și verifica alimentele, și un cronometru de gătit controlat vocal, și vor fi învățat bazele Internetului Lucrurilor, inclusiv cum să scrie cod pentru dispozitive, să se conecteze la cloud, să analizeze telemetria și să ruleze AI la margine.
+[![Video promoțional](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video promoțional")  
 
-Prin asigurarea că conținutul se aliniază cu proiectele, procesul devine mai captivant pentru studenți și reținerea conceptelor va fi îmbunătățită.
+> 🎥 Click pe imaginea de mai sus pentru un video despre proiect!  
 
-În plus, un test cu miză redusă înainte de curs setează intenția studentului de a învăța un subiect, în timp ce un al doilea test după curs asigură o reținere suplimentară. Acest curriculum a fost conceput să fie flexibil și distractiv și poate fi parcurs în întregime sau parțial. Proiectele încep mici și devin din ce în ce mai complexe până la sfârșitul ciclului de 12 săptămâni.
+## Pedagogie  
 
-Fiecare proiect se bazează pe hardware real disponibil pentru studenți și pasionați. Fiecare proiect analizează domeniul specific al proiectului, oferind cunoștințe relevante de fundal. Pentru a fi un dezvoltator de succes, este util să înțelegi domeniul în care rezolvi probleme, oferind aceste cunoștințe de fundal, permițând studenților să se gândească la soluțiile lor IoT și la învățături în contextul tipului de problemă reală pe care ar putea fi solicitați să o rezolve ca dezvoltatori IoT. Studenții învață 'de ce' soluțiile pe care le construiesc și obțin o apreciere a utilizatorului final.
+Am ales două principii pedagogice în construirea acestui curriculum: asigurarea că este bazat pe proiecte și că include teste frecvente. Până la sfârșitul acestei serii, studenții vor fi construit un sistem de monitorizare și udare a plantelor, un tracker de vehicule, un setup de fabrică inteligent pentru a urmări și verifica alimentele, și un cronometru de gătit controlat prin voce, și vor fi învățat bazele Internetului Lucrurilor, inclusiv cum să scrie cod pentru dispozitive, să se conecteze la cloud, să analizeze telemetria și să ruleze AI la margine.  
 
-## Hardware
+Prin asigurarea că conținutul se aliniază cu proiectele, procesul devine mai captivant pentru studenți, iar retenția conceptelor va fi îmbunătățită.  
 
-Avem două opțiuni de hardware IoT de utilizat pentru proiecte, în funcție de preferințele personale, cunoștințele sau preferințele de limbaj de programare, obiectivele de învățare și disponibilitate. Am oferit, de asemenea, o versiune de 'hardware virtual' pentru cei care nu au acces la hardware sau doresc să învețe mai mult înainte de a se angaja la o achiziție. Puteți citi mai multe și găsi o 'listă de cumpărături' pe [pagina hardware](./hardware.md), inclusiv linkuri pentru a cumpăra kituri complete de la prietenii noștri de la Seeed Studio.
+În plus, un test cu miză redusă înainte de o clasă setează intenția studentului spre învățarea unui subiect, în timp ce un al doilea test după clasă asigură o retenție suplimentară. Acest curriculum a fost conceput să fie flexibil și distractiv și poate fi parcurs în întregime sau parțial. Proiectele încep mici și devin din ce în ce mai complexe până la sfârșitul ciclului de 12 săptămâni.  
 
-> 💁 Găsiți [Codul nostru de Conduită](CODE_OF_CONDUCT.md), [Ghidul de Contribuție](CONTRIBUTING.md), și [Ghidul de Traducere](TRANSLATIONS.md). Apreciem feedback-ul vostru constructiv!
+Fiecare proiect se bazează pe hardware real disponibil pentru studenți și pasionați. Fiecare proiect analizează domeniul specific al proiectului, oferind cunoștințe relevante de fundal. Pentru a fi un dezvoltator de succes, este util să înțelegi domeniul în care rezolvi probleme, oferind aceste cunoștințe de fundal permite studenților să gândească despre soluțiile IoT și învățăturile lor în contextul tipului de problemă reală pe care ar putea fi solicitați să o rezolve ca dezvoltatori IoT. Studenții învață 'de ce-ul' soluțiilor pe care le construiesc și obțin o apreciere a utilizatorului final.  
 
-## Fiecare lecție include:
+## Hardware  
 
-- sketchnote
-- video opțional suplimentar
-- test de încălzire înainte de lecție
-- lecție scrisă
-- pentru lecțiile bazate pe proiect, ghiduri pas cu pas despre cum să construiești proiectul
-- verificări de cunoștințe
-- o provocare
-- lectură suplimentară
-- temă
-- [test după lecție](https://ff-quizzes.netlify.app/en/)
+Avem două opțiuni de hardware IoT pentru utilizarea în proiecte, în funcție de preferințele personale, cunoștințele sau preferințele de limbaj de programare, obiectivele de învățare și disponibilitate. De asemenea, am oferit o versiune de 'hardware virtual' pentru cei care nu au acces la hardware sau doresc să învețe mai mult înainte de a se angaja într-o achiziție. Poți citi mai multe și găsi o 'listă de cumpărături' pe [pagina hardware](./hardware.md), inclusiv linkuri pentru a cumpăra kituri complete de la prietenii noștri de la Seeed Studio.  
 
-> **O notă despre teste**: Toate testele sunt conținute în folderul quiz-app, pentru un total de 48 de teste, fiecare cu trei întrebări. Ele sunt legate din lecții, dar aplicația de teste poate fi rulată local sau implementată pe Azure; urmați instrucțiunile din folderul `quiz-app`. Ele sunt treptat localizate.
+> 💁 Găsește [Codul nostru de Conduită](CODE_OF_CONDUCT.md), [Contribuții](CONTRIBUTING.md), și ghidurile de [Traducere](TRANSLATIONS.md). Apreciem feedback-ul tău constructiv!  
+
+## Fiecare lecție include:  
+
+- sketchnote  
+- video opțional suplimentar  
+- test de încălzire înainte de lecție  
+- lecție scrisă  
+- pentru lecțiile bazate pe proiecte, ghiduri pas cu pas despre cum să construiești proiectul  
+- verificări de cunoștințe  
+- o provocare  
+- lectură suplimentară  
+- temă  
+- [test după lecție](https://ff-quizzes.netlify.app/en/)  
+> **O notă despre chestionare**: Toate chestionarele sunt incluse în folderul quiz-app, pentru un total de 48 de chestionare, fiecare având trei întrebări. Acestea sunt legate din cadrul lecțiilor, dar aplicația de chestionare poate fi rulată local sau implementată pe Azure; urmați instrucțiunile din folderul `quiz-app`. Ele sunt localizate treptat.
 
 ## Lecții
 
-|       |              Numele Proiectului              |                       Concepte Predate                       | Obiective de Învățare                                                                                                                                                 |                                                        Lecție Legată                                                         |
-| :---: | :------------------------------------------: | :----------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Începeți](./1-getting-started/README.md) |                     Introducere în IoT                     | Aflați principiile de bază ale IoT și elementele fundamentale ale soluțiilor IoT, cum ar fi senzorii și serviciile cloud, în timp ce configurați primul dvs. dispozitiv IoT |                      [Introducere în IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Începeți](./1-getting-started/README.md) |                   O explorare mai profundă a IoT                    | Aflați mai multe despre componentele unui sistem IoT, precum microcontrolerele și computerele cu o singură placă                                                            |                        [O explorare mai profundă a IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Începeți](./1-getting-started/README.md) | Interacționați cu lumea fizică folosind senzori și actuatori | Aflați despre senzorii care colectează date din lumea fizică și actuatori care trimit feedback, în timp ce construiți o lampă de noapte                                           | [Interacționați cu lumea fizică folosind senzori și actuatori](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Începeți](./1-getting-started/README.md) |             Conectați dispozitivul la Internet             | Aflați cum să conectați un dispozitiv IoT la Internet pentru a trimite și primi mesaje, conectând lampa de noapte la un broker MQTT                               |               [Conectați dispozitivul la Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Ferma](./2-farm/README.md)            |                    Preziceți creșterea plantelor                     | Aflați cum să preziceți creșterea plantelor folosind datele de temperatură capturate de un dispozitiv IoT                                                                                  |                          [Preziceți creșterea plantelor](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Ferma](./2-farm/README.md)            |                    Detectați umiditatea solului                     | Aflați cum să detectați umiditatea solului și să calibrați un senzor de umiditate a solului                                                                                              |                          [Detectați umiditatea solului](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Ferma](./2-farm/README.md)            |                  Udarea automată a plantelor                   | Aflați cum să automatizați și să programați udarea folosind un releu și MQTT                                                                                                      |                      [Udarea automată a plantelor](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Ferma](./2-farm/README.md)            |               Migrați planta în cloud               | Aflați despre cloud și serviciile IoT găzduite în cloud și cum să conectați planta la unul dintre acestea în loc de un broker MQTT public                                   |               [Migrați planta în cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Ferma](./2-farm/README.md)            |         Migrați logica aplicației în cloud         | Aflați cum puteți scrie logica aplicației în cloud care răspunde la mesajele IoT                                                                          |         [Migrați logica aplicației în cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Ferma](./2-farm/README.md)            |                   Mențineți planta în siguranță                    | Aflați despre securitatea IoT și cum să mențineți planta în siguranță folosind chei și certificate                                                                          |                        [Mențineți planta în siguranță](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Urmărirea locației                      | Aflați despre urmărirea locației GPS pentru dispozitive IoT                                                                                                                   |                           [Urmărirea locației](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Stocați datele de locație                     | Aflați cum să stocați datele IoT pentru a fi vizualizate sau analizate ulterior                                                                                                      |                         [Stocați datele de locație](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizați datele de locație                   | Aflați despre vizualizarea datelor de locație pe o hartă și cum hărțile reprezintă lumea reală 3D în două dimensiuni                                                            |                     [Vizualizați datele de locație](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geogarduri                          | Aflați despre geogarduri și cum pot fi utilizate pentru a alerta atunci când vehiculele din lanțul de aprovizionare sunt aproape de destinația lor                                           |                                   [Geogarduri](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Producție](./4-manufacturing/README.md)   |               Antrenați un detector de calitate a fructelor                | Aflați despre antrenarea unui clasificator de imagini în cloud pentru a detecta calitatea fructelor                                                                                       |                 [Antrenați un detector de calitate a fructelor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Producție](./4-manufacturing/README.md)   |           Verificați calitatea fructelor de pe un dispozitiv IoT            | Aflați despre utilizarea detectorului de calitate a fructelor de pe un dispozitiv IoT                                                                                                    |           [Verificați calitatea fructelor de pe un dispozitiv IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Producție](./4-manufacturing/README.md)   |             Rulați detectorul de fructe la margine             | Aflați despre rularea detectorului de fructe pe un dispozitiv IoT la margine                                                                                                |             [Rulați detectorul de fructe la margine](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Producție](./4-manufacturing/README.md)   |        Declanșați detectarea calității fructelor de la un senzor        | Aflați despre declanșarea detectării calității fructelor de la un senzor                                                                                                        |        [Declanșați detectarea calității fructelor de la un senzor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Retail](./5-retail/README.md)          |                   Antrenați un detector de stocuri                    | Aflați cum să utilizați detectarea obiectelor pentru a antrena un detector de stocuri pentru a număra stocurile dintr-un magazin                                                                                |                        [Antrenați un detector de stocuri](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Retail](./5-retail/README.md)          |               Verificați stocurile de pe un dispozitiv IoT                | Aflați cum să verificați stocurile de pe un dispozitiv IoT utilizând un model de detectare a obiectelor                                                                                         |                     [Verificați stocurile de pe un dispozitiv IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumator](./6-consumer/README.md)        |             Recunoașteți vorbirea cu un dispozitiv IoT             | Aflați cum să recunoașteți vorbirea de pe un dispozitiv IoT pentru a construi un cronometru inteligent                                                                                             |                  [Recunoașteți vorbirea cu un dispozitiv IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Consumator](./6-consumer/README.md)        |                     Înțelegeți limbajul                     | Aflați cum să înțelegeți propozițiile rostite către un dispozitiv IoT                                                                                                           |                        [Înțelegeți limbajul](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumator](./6-consumer/README.md)        |           Setați un cronometru și oferiți feedback vocal           | Aflați cum să setați un cronometru pe un dispozitiv IoT și să oferiți feedback vocal despre momentul în care cronometru este setat și când se termină                                                    |                 [Setați un cronometru și oferiți feedback vocal](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumator](./6-consumer/README.md)        |                 Suportați mai multe limbi                  | Aflați cum să suportați mai multe limbi, atât pentru a fi adresate, cât și pentru răspunsurile de la cronometru inteligent                                                               |                   [Suportați mai multe limbi](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Numele Proiectului              |                       Concepte Învățate                       | Obiective de Învățare                                                                                                                                                 |                                                        Lecția Legată                                                         |
+| :---: | :------------------------------------------: | :-----------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Introducere](./1-getting-started/README.md) |                     Introducere în IoT                     | Învață principiile de bază ale IoT și elementele fundamentale ale soluțiilor IoT, cum ar fi senzorii și serviciile cloud, în timp ce configurezi primul tău dispozitiv IoT |                      [Introducere în IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Introducere](./1-getting-started/README.md) |                   O privire mai profundă asupra IoT                    | Învață mai multe despre componentele unui sistem IoT, precum și despre microcontrolere și computere cu o singură placă                                                            |                        [O privire mai profundă asupra IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Introducere](./1-getting-started/README.md) | Interacționează cu lumea fizică folosind senzori și actuatori | Învață despre senzori pentru a colecta date din lumea fizică și actuatori pentru a trimite feedback, în timp ce construiești o lampă de noapte                                           | [Interacționează cu lumea fizică folosind senzori și actuatori](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Introducere](./1-getting-started/README.md) |             Conectează dispozitivul tău la Internet             | Învață cum să conectezi un dispozitiv IoT la Internet pentru a trimite și primi mesaje, conectând lampa ta de noapte la un broker MQTT                               |               [Conectează dispozitivul tău la Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Ferma](./2-farm/README.md)            |                    Prezice creșterea plantelor                     | Învață cum să prezici creșterea plantelor folosind datele de temperatură capturate de un dispozitiv IoT                                                                                  |                          [Prezice creșterea plantelor](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Ferma](./2-farm/README.md)            |                    Detectează umiditatea solului                     | Învață cum să detectezi umiditatea solului și să calibrezi un senzor de umiditate a solului                                                                                              |                          [Detectează umiditatea solului](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Ferma](./2-farm/README.md)            |                  Udarea automată a plantelor                   | Învață cum să automatizezi și să programezi udarea folosind un releu și MQTT                                                                                                      |                      [Udarea automată a plantelor](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Ferma](./2-farm/README.md)            |               Migrează planta ta în cloud               | Învață despre cloud și serviciile IoT găzduite în cloud și cum să conectezi planta ta la unul dintre acestea în loc de un broker MQTT public                                   |               [Migrează planta ta în cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ferma](./2-farm/README.md)            |         Migrează logica aplicației tale în cloud         | Învață cum să scrii logica aplicației în cloud care răspunde la mesajele IoT                                                                          |         [Migrează logica aplicației tale în cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Ferma](./2-farm/README.md)            |                   Păstrează planta ta în siguranță                    | Învață despre securitatea IoT și cum să păstrezi planta ta în siguranță folosind chei și certificate                                                                          |                        [Păstrează planta ta în siguranță](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Urmărirea locației                      | Învață despre urmărirea locației GPS pentru dispozitive IoT                                                                                                                   |                           [Urmărirea locației](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Stocarea datelor de locație                     | Învață cum să stochezi datele IoT pentru a fi vizualizate sau analizate ulterior                                                                                                      |                         [Stocarea datelor de locație](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizarea datelor de locație                   | Învață despre vizualizarea datelor de locație pe o hartă și cum hărțile reprezintă lumea reală 3D în 2 dimensiuni                                                            |                     [Vizualizarea datelor de locație](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofencing                          | Învață despre geofencing și cum poate fi utilizat pentru a alerta atunci când vehiculele din lanțul de aprovizionare sunt aproape de destinația lor                                           |                                   [Geofencing](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Producție](./4-manufacturing/README.md)   |               Antrenează un detector de calitate a fructelor                | Învață cum să antrenezi un clasificator de imagini în cloud pentru a detecta calitatea fructelor                                                                                       |                 [Antrenează un detector de calitate a fructelor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Producție](./4-manufacturing/README.md)   |           Verifică calitatea fructelor de pe un dispozitiv IoT            | Învață cum să folosești detectorul de calitate a fructelor de pe un dispozitiv IoT                                                                                                    |           [Verifică calitatea fructelor de pe un dispozitiv IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Producție](./4-manufacturing/README.md)   |             Rulează detectorul de fructe la margine             | Învață cum să rulezi detectorul de fructe pe un dispozitiv IoT la margine                                                                                                |             [Rulează detectorul de fructe la margine](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Producție](./4-manufacturing/README.md)   |        Declanșează detectarea calității fructelor de la un senzor        | Învață cum să declanșezi detectarea calității fructelor de la un senzor                                                                                                        |        [Declanșează detectarea calității fructelor de la un senzor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Retail](./5-retail/README.md)          |                   Antrenează un detector de stocuri                    | Învață cum să folosești detectarea obiectelor pentru a antrena un detector de stocuri pentru a număra stocurile dintr-un magazin                                                                                |                        [Antrenează un detector de stocuri](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Retail](./5-retail/README.md)          |               Verifică stocurile de pe un dispozitiv IoT                | Învață cum să verifici stocurile de pe un dispozitiv IoT folosind un model de detectare a obiectelor                                                                                         |                     [Verifică stocurile de pe un dispozitiv IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consumator](./6-consumer/README.md)        |             Recunoaște vorbirea cu un dispozitiv IoT             | Învață cum să recunoști vorbirea de pe un dispozitiv IoT pentru a construi un cronometru inteligent                                                                                             |                  [Recunoaște vorbirea cu un dispozitiv IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Consumator](./6-consumer/README.md)        |                     Înțelege limbajul                     | Învață cum să înțelegi propozițiile rostite către un dispozitiv IoT                                                                                                           |                        [Înțelege limbajul](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Consumator](./6-consumer/README.md)        |           Setează un cronometru și oferă feedback vocal           | Învață cum să setezi un cronometru pe un dispozitiv IoT și să oferi feedback vocal despre momentul în care cronometru este setat și când se termină                                                    |                 [Setează un cronometru și oferă feedback vocal](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consumator](./6-consumer/README.md)        |                 Suportă mai multe limbi                  | Învață cum să oferi suport pentru mai multe limbi, atât pentru cele rostite cât și pentru răspunsurile cronometrului inteligent                                                               |                   [Suportă mai multe limbi](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Acces offline
 
-Puteți rula această documentație offline utilizând [Docsify](https://docsify.js.org/#/). Clonați acest repo, [instalați Docsify](https://docsify.js.org/#/quickstart) pe mașina dvs. locală, apoi în folderul rădăcină al acestui repo, tastați `docsify serve`. Website-ul va fi servit pe portul 3000 pe localhost-ul dvs.: `localhost:3000`.
+Poți rula această documentație offline folosind [Docsify](https://docsify.js.org/#/). Clonează acest repo, [instalează Docsify](https://docsify.js.org/#/quickstart) pe mașina ta locală, apoi în folderul rădăcină al acestui repo, tastează `docsify serve`. Website-ul va fi servit pe portul 3000 pe localhost-ul tău: `localhost:3000`.
 
-## Test
+## Chestionar
 
-Mulțumiri comunității pentru găzduirea testului interactiv care vă testează cunoștințele despre fiecare capitol. Vă puteți testa cunoștințele [aici](https://ff-quizzes.netlify.app/en/) 
+Mulțumiri comunității pentru găzduirea chestionarului interactiv care testează cunoștințele tale despre fiecare capitol. Îți poți testa cunoștințele [aici](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Puteți genera un PDF al acestui conținut pentru acces offline, dacă este necesar. Pentru a face acest lucru, asigurați-vă că aveți [npm instalat](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) și rulați următoarele comenzi în folderul rădăcină al acestui repo:
+Poți genera un PDF al acestui conținut pentru acces offline, dacă este necesar. Pentru a face acest lucru, asigură-te că ai [npm instalat](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) și rulează următoarele comenzi în folderul rădăcină al acestui repo:
 
 ```sh
 npm i
@@ -145,51 +148,54 @@ npm run convert
 
 ### Slide-uri
 
-Există prezentări pentru unele lecții în folderul [slides](../../slides).
+Există prezentări pentru unele dintre lecții în folderul [slides](../../slides).
 
 
 ## Alte Curricule
 
-Echipa noastră produce alte curricule! Verificați:
+Echipa noastră produce alte curricule! Verifică:
 
+<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agenți
-[![AZD pentru Începători](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI pentru Începători](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP pentru Începători](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Agenți AI pentru Începători](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD pentru Începători](https://img.shields.io/badge/AZD%20pentru%20Începători-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI pentru Începători](https://img.shields.io/badge/Edge%20AI%20pentru%20Începători-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP pentru Începători](https://img.shields.io/badge/MCP%20pentru%20Începători-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Agenți AI pentru Începători](https://img.shields.io/badge/Agenți%20AI%20pentru%20Începători-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
  
-### Seria AI Generativă
-[![AI Generativă pentru Începători](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Generativă (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![AI Generativă (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![AI Generativă (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+### Seria AI Generativ
+[![AI Generativ pentru Începători](https://img.shields.io/badge/AI%20Generativ%20pentru%20Începători-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Generativ (.NET)](https://img.shields.io/badge/AI%20Generativ%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![AI Generativ (Java)](https://img.shields.io/badge/AI%20Generativ%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Învățare de bază
-[![ML pentru Începători](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Știința Datelor pentru Începători](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Inteligență Artificială pentru Începători](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Securitate Cibernetică pentru Începători](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Dezvoltare Web pentru Începători](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT pentru Începători](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Dezvoltare XR pentru Începători](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML pentru Începători](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Știința Datelor pentru Începători](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![Inteligență Artificială pentru Începători](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Securitate Cibernetică pentru Începători](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Dezvoltare Web pentru Începători](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT pentru Începători](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Dezvoltare XR pentru Începători](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Seria Copilot  
-[![Copilot pentru Programare în Pereche AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot pentru C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Seria Copilot
+[![Copilot pentru Programare în Pereche AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot pentru C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Atribuții pentru imagini  
+## Atribuții pentru imagini
 
-Puteți găsi toate atribuțiile pentru imaginile utilizate în acest curriculum, acolo unde este necesar, în [Atribuții](./attributions.md).  
+Puteți găsi toate atribuțiile pentru imaginile utilizate în acest curriculum, acolo unde este necesar, în [Atribuții](./attributions.md).
 
 ---
 
-**Declinare de responsabilitate**:  
-Acest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși ne străduim să asigurăm acuratețea, vă rugăm să fiți conștienți că traducerile automate pot conține erori sau inexactități. Documentul original în limba sa natală ar trebui considerat sursa autoritară. Pentru informații critice, se recomandă traducerea profesională realizată de oameni. Nu ne asumăm responsabilitatea pentru neînțelegerile sau interpretările greșite care pot apărea din utilizarea acestei traduceri.
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**Declinarea responsabilității**:  
+Acest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși ne străduim să asigurăm acuratețea, vă rugăm să rețineți că traducerile automate pot conține erori sau inexactități. Documentul original în limba sa maternă ar trebui considerat sursa autoritară. Pentru informații critice, se recomandă traducerea profesională realizată de un specialist uman. Nu ne asumăm răspunderea pentru neînțelegerile sau interpretările greșite care pot apărea din utilizarea acestei traduceri.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ru/README.md b/translations/ru/README.md
index d8247b6b3..d3013d406 100644
--- a/translations/ru/README.md
+++ b/translations/ru/README.md
@@ -1,133 +1,139 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:54:37+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:10:17+00:00",
   "source_file": "README.md",
   "language_code": "ru"
 }
 -->
-[![Лицензия GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![Участники GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![Проблемы GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![Запросы на GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![Лицензия GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![Участники GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![Проблемы GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![Запросы на GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Наблюдатели GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Форки GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Звезды GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![Наблюдатели GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![Форки GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Звезды GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Присоединяйтесь к сообществу Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Присоединяйтесь к сообществу Azure AI Foundry  
 
-Следуйте этим шагам, чтобы начать использовать эти ресурсы:
-1. **Сделайте форк репозитория**: Нажмите [![Форки GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Клонируйте репозиторий**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Присоединяйтесь к Discord Azure AI Foundry и познакомьтесь с экспертами и другими разработчиками**](https://discord.com/invite/ByRwuEEgH4)
+Если вы столкнулись с трудностями или у вас есть вопросы о создании приложений с искусственным интеллектом, присоединяйтесь к обсуждениям с другими учащимися и опытными разработчиками в MCP. Это поддерживающее сообщество, где приветствуются вопросы и свободно делятся знаниями.  
 
-### 🌐 Поддержка нескольких языков
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Поддерживается через GitHub Action (автоматически и всегда актуально)
+Если у вас есть отзывы о продукте или ошибки при разработке, посетите:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Арабский](../ar/README.md) | [Бенгальский](../bn/README.md) | [Болгарский](../bg/README.md) | [Бирманский (Мьянма)](../my/README.md) | [Китайский (упрощенный)](../zh/README.md) | [Китайский (традиционный, Гонконг)](../hk/README.md) | [Китайский (традиционный, Макао)](../mo/README.md) | [Китайский (традиционный, Тайвань)](../tw/README.md) | [Хорватский](../hr/README.md) | [Чешский](../cs/README.md) | [Датский](../da/README.md) | [Голландский](../nl/README.md) | [Эстонский](../et/README.md) | [Финский](../fi/README.md) | [Французский](../fr/README.md) | [Немецкий](../de/README.md) | [Греческий](../el/README.md) | [Иврит](../he/README.md) | [Хинди](../hi/README.md) | [Венгерский](../hu/README.md) | [Индонезийский](../id/README.md) | [Итальянский](../it/README.md) | [Японский](../ja/README.md) | [Корейский](../ko/README.md) | [Литовский](../lt/README.md) | [Малайский](../ms/README.md) | [Маратхи](../mr/README.md) | [Непальский](../ne/README.md) | [Норвежский](../no/README.md) | [Персидский (фарси)](../fa/README.md) | [Польский](../pl/README.md) | [Португальский (Бразилия)](../br/README.md) | [Португальский (Португалия)](../pt/README.md) | [Панджаби (Гурмукхи)](../pa/README.md) | [Румынский](../ro/README.md) | [Русский](./README.md) | [Сербский (кириллица)](../sr/README.md) | [Словацкий](../sk/README.md) | [Словенский](../sl/README.md) | [Испанский](../es/README.md) | [Суахили](../sw/README.md) | [Шведский](../sv/README.md) | [Тагальский (Филиппинский)](../tl/README.md) | [Тамильский](../ta/README.md) | [Тайский](../th/README.md) | [Турецкий](../tr/README.md) | [Украинский](../uk/README.md) | [Урду](../ur/README.md) | [Вьетнамский](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT для начинающих - учебная программа
+Следуйте этим шагам, чтобы начать использовать эти ресурсы:  
+1. **Сделайте форк репозитория**: Нажмите [![Форки GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Клонируйте репозиторий**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Присоединяйтесь к Microsoft Foundry Discord и познакомьтесь с экспертами и другими разработчиками**](https://discord.com/invite/ByRwuEEgH4)  
 
-Команда Azure Cloud Advocates в Microsoft рада предложить 12-недельную учебную программу из 24 уроков, посвященную основам Интернета вещей. Каждый урок включает в себя тесты до и после урока, письменные инструкции по выполнению задания, готовое решение, домашнее задание и многое другое. Наш проектный подход к обучению позволяет учиться через практику, что является проверенным способом закрепления новых навыков.
+### 🌐 Поддержка нескольких языков  
 
-Проекты охватывают путь еды от фермы до стола. Это включает сельское хозяйство, логистику, производство, розничную торговлю и потребление - все популярные отрасли для устройств Интернета вещей.
+#### Поддерживается через GitHub Action (автоматически и всегда актуально)  
 
-![Дорожная карта курса, показывающая 24 урока, охватывающих введение, сельское хозяйство, транспорт, обработку, розничную торговлю и приготовление пищи](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ru.jpg)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Арабский](../ar/README.md) | [Бенгальский](../bn/README.md) | [Болгарский](../bg/README.md) | [Бирманский (Мьянма)](../my/README.md) | [Китайский (упрощенный)](../zh/README.md) | [Китайский (традиционный, Гонконг)](../hk/README.md) | [Китайский (традиционный, Макао)](../mo/README.md) | [Китайский (традиционный, Тайвань)](../tw/README.md) | [Хорватский](../hr/README.md) | [Чешский](../cs/README.md) | [Датский](../da/README.md) | [Голландский](../nl/README.md) | [Эстонский](../et/README.md) | [Финский](../fi/README.md) | [Французский](../fr/README.md) | [Немецкий](../de/README.md) | [Греческий](../el/README.md) | [Иврит](../he/README.md) | [Хинди](../hi/README.md) | [Венгерский](../hu/README.md) | [Индонезийский](../id/README.md) | [Итальянский](../it/README.md) | [Японский](../ja/README.md) | [Корейский](../ko/README.md) | [Литовский](../lt/README.md) | [Малайский](../ms/README.md) | [Маратхи](../mr/README.md) | [Непальский](../ne/README.md) | [Нигерийский пиджин](../pcm/README.md) | [Норвежский](../no/README.md) | [Персидский (фарси)](../fa/README.md) | [Польский](../pl/README.md) | [Португальский (Бразилия)](../br/README.md) | [Португальский (Португалия)](../pt/README.md) | [Панджаби (Гурмукхи)](../pa/README.md) | [Румынский](../ro/README.md) | [Русский](./README.md) | [Сербский (кириллица)](../sr/README.md) | [Словацкий](../sk/README.md) | [Словенский](../sl/README.md) | [Испанский](../es/README.md) | [Суахили](../sw/README.md) | [Шведский](../sv/README.md) | [Тагальский (Филиппины)](../tl/README.md) | [Тамильский](../ta/README.md) | [Тайский](../th/README.md) | [Турецкий](../tr/README.md) | [Украинский](../uk/README.md) | [Урду](../ur/README.md) | [Вьетнамский](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-> Скетчноут от [Nitya Narasimhan](https://github.com/nitya). Нажмите на изображение, чтобы увидеть его в большем размере.
+# IoT для начинающих - учебная программа  
 
-**Огромная благодарность нашим авторам [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), и нашему художнику скетчноутов [Nitya Narasimhan](https://github.com/nitya).**
+Azure Cloud Advocates в Microsoft рады предложить 12-недельную учебную программу из 24 уроков, посвященную основам IoT. Каждый урок включает тесты до и после занятия, письменные инструкции для выполнения урока, решение, задание и многое другое. Наш проектный подход позволяет учиться через создание, что является проверенным способом закрепления новых навыков.  
 
-**Также благодарим нашу команду [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), которые помогали в обзоре и переводе этой учебной программы - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), и [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Проекты охватывают путь еды от фермы до стола. Это включает сельское хозяйство, логистику, производство, розничную торговлю и потребление - все популярные отрасли для устройств IoT.  
 
-Познакомьтесь с нашей командой!
+![Дорожная карта курса, показывающая 24 урока, охватывающих введение, сельское хозяйство, транспорт, обработку, розничную торговлю и приготовление пищи](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ru.jpg)  
 
-[![Промо-видео](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Скетчноут от [Nitya Narasimhan](https://github.com/nitya). Нажмите на изображение для увеличенной версии.  
 
-**Gif от** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Огромная благодарность нашим авторам [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) и нашему художнику скетчноутов [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Нажмите на изображение выше, чтобы посмотреть видео о проекте!
+**Также благодарим нашу команду [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), которые проверяли и переводили эту учебную программу - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) и [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Учителя**, мы [подготовили несколько предложений](for-teachers.md) о том, как использовать эту учебную программу. Если вы хотите создать свои собственные уроки, мы также включили [шаблон урока](lesson-template/README.md).
+Познакомьтесь с командой!  
 
-> **[Студенты](https://aka.ms/student-page)**, чтобы использовать эту учебную программу самостоятельно, сделайте форк всего репозитория и выполните упражнения самостоятельно, начиная с теста перед лекцией, затем прочитайте лекцию и выполните остальные задания. Постарайтесь создавать проекты, понимая уроки, а не копируя готовый код решения; однако этот код доступен в папках /solutions в каждом проектно-ориентированном уроке. Другой вариант - создать учебную группу с друзьями и изучать материал вместе. Для дальнейшего изучения мы рекомендуем [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Промо-видео](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Для видеообзора этого курса посмотрите следующее видео:
+**Gif от** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Промо-видео](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Промо-видео")
+> 🎥 Нажмите на изображение выше, чтобы посмотреть видео о проекте!  
 
-> 🎥 Нажмите на изображение выше, чтобы посмотреть видео о проекте!
+> **Учителя**, мы [включили несколько предложений](for-teachers.md) о том, как использовать эту учебную программу. Если вы хотите создать свои собственные уроки, мы также включили [шаблон урока](lesson-template/README.md).  
 
-## Педагогика
+> **[Студенты](https://aka.ms/student-page)**, чтобы использовать эту учебную программу самостоятельно, сделайте форк всего репозитория и выполните упражнения самостоятельно, начиная с теста перед лекцией, затем прочитайте лекцию и выполните остальные задания. Постарайтесь создавать проекты, понимая уроки, а не копируя код решения; однако этот код доступен в папках /solutions в каждом проектно-ориентированном уроке. Еще одна идея - создать учебную группу с друзьями и изучать контент вместе. Для дальнейшего изучения мы рекомендуем [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-При создании этой учебной программы мы выбрали два педагогических принципа: обеспечение проектного подхода и включение частых тестов. К концу этой серии студенты создадут систему мониторинга и полива растений, трекер транспортных средств, умную фабрику для отслеживания и проверки продуктов питания, а также таймер для приготовления пищи с голосовым управлением. Они изучат основы Интернета вещей, включая написание кода для устройств, подключение к облаку, анализ телеметрии и выполнение AI на периферии.
+Для видеообзора этого курса посмотрите это видео:  
 
-Обеспечивая связь контента с проектами, процесс становится более увлекательным для студентов, а усвоение концепций усиливается.
+[![Промо-видео](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Промо-видео")  
 
-Кроме того, тесты с низкими ставками перед занятием настраивают студента на изучение темы, а второй тест после занятия обеспечивает дальнейшее закрепление материала. Эта учебная программа была разработана как гибкая и увлекательная, и ее можно проходить полностью или частично. Проекты начинаются с простых и становятся все более сложными к концу 12-недельного цикла.
+> 🎥 Нажмите на изображение выше, чтобы посмотреть видео о проекте!  
 
-Каждый проект основан на реальном оборудовании, доступном студентам и любителям. Каждый проект исследует конкретную область проекта, предоставляя соответствующие базовые знания. Чтобы стать успешным разработчиком, важно понимать область, в которой вы решаете задачи. Предоставление этих базовых знаний позволяет студентам думать о своих IoT-решениях и изучении в контексте реальных задач, которые они могут решать как разработчики IoT. Студенты узнают "почему" решений, которые они создают, и получают представление о конечном пользователе.
+## Педагогика  
 
-## Оборудование
+Мы выбрали два педагогических принципа при создании этой учебной программы: обеспечение проектного подхода и включение частых тестов. К концу этой серии студенты создадут систему мониторинга и полива растений, трекер транспортных средств, умную фабрику для отслеживания и проверки продуктов питания, а также таймер для приготовления пищи с голосовым управлением, и изучат основы Интернета вещей, включая написание кода для устройств, подключение к облаку, анализ телеметрии и запуск ИИ на периферии.  
 
-У нас есть два варианта оборудования IoT для использования в проектах, в зависимости от личных предпочтений, знаний или предпочтений в языках программирования, целей обучения и доступности. Мы также предоставили версию "виртуального оборудования" для тех, у кого нет доступа к оборудованию или кто хочет узнать больше перед покупкой. Вы можете узнать больше и найти "список покупок" на [странице оборудования](./hardware.md), включая ссылки на покупку комплектов у наших друзей из Seeed Studio.
+Обеспечение того, чтобы контент соответствовал проектам, делает процесс более увлекательным для студентов, а усвоение концепций усиливается.  
 
-> 💁 Ознакомьтесь с нашим [Кодексом поведения](CODE_OF_CONDUCT.md), [Руководством по внесению вклада](CONTRIBUTING.md) и [Руководством по переводу](TRANSLATIONS.md). Мы приветствуем ваши конструктивные отзывы!
+Кроме того, тест с низкими ставками перед занятием настраивает студента на изучение темы, а второй тест после занятия обеспечивает дальнейшее усвоение материала. Эта учебная программа была разработана как гибкая и увлекательная и может быть пройдена полностью или частично. Проекты начинаются с простых и становятся все более сложными к концу 12-недельного цикла.  
 
-## Каждый урок включает:
+Каждый проект основан на реальном оборудовании, доступном студентам и любителям. Каждый проект исследует конкретную область проекта, предоставляя соответствующие базовые знания. Чтобы стать успешным разработчиком, полезно понимать область, в которой вы решаете проблемы, предоставление этих базовых знаний позволяет студентам думать о своих IoT-решениях и изучении в контексте реальных проблем, которые они могут быть призваны решать как разработчики IoT. Студенты узнают "почему" решений, которые они создают, и получают представление о конечном пользователе.  
 
-- скетчноут
-- дополнительное видео (опционально)
-- тест перед уроком
-- письменный урок
-- для проектных уроков - пошаговые инструкции по созданию проекта
-- проверка знаний
-- вызов
-- дополнительное чтение
-- задание
-- [тест после урока](https://ff-quizzes.netlify.app/en/)
+## Оборудование  
 
-> **Примечание о тестах**: Все тесты находятся в папке quiz-app, всего 48 тестов по три вопроса в каждом. Они связаны с уроками, но приложение для тестов можно запустить локально или развернуть в Azure; следуйте инструкциям в папке `quiz-app`. Они постепенно переводятся.
+У нас есть два варианта оборудования IoT для использования в проектах в зависимости от личных предпочтений, знаний или предпочтений в языках программирования, учебных целей и доступности. Мы также предоставили версию "виртуального оборудования" для тех, у кого нет доступа к оборудованию или кто хочет узнать больше перед покупкой. Вы можете узнать больше и найти "список покупок" на [странице оборудования](./hardware.md), включая ссылки на покупку комплектов у наших друзей из Seeed Studio.  
+
+> 💁 Найдите наши [Правила поведения](CODE_OF_CONDUCT.md), [Руководство по внесению изменений](CONTRIBUTING.md) и [Руководство по переводу](TRANSLATIONS.md). Мы приветствуем ваши конструктивные отзывы!  
+
+## Каждый урок включает:  
+
+- скетчноут  
+- дополнительное видео (опционально)  
+- тест перед уроком  
+- письменный урок  
+- для проектных уроков - пошаговые инструкции по созданию проекта  
+- проверка знаний  
+- вызов  
+- дополнительное чтение  
+- задание  
+- [тест после урока](https://ff-quizzes.netlify.app/en/)  
+> **Примечание о викторинах**: Все викторины находятся в папке quiz-app, всего 48 викторин по три вопроса каждая. Они связаны с уроками, но приложение для викторин можно запустить локально или развернуть в Azure; следуйте инструкциям в папке `quiz-app`. Они постепенно локализуются.
 
 ## Уроки
 
-|       |              Название проекта              |                       Изучаемые концепции                       | Цели обучения                                                                                                                                                 |                                                        Ссылка на урок                                                         |
+|       |              Название проекта              |                       Изучаемые концепции                       | Цели обучения                                                                                                                                                 |                                                        Связанный урок                                                         |
 | :---: | :----------------------------------------: | :-------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Начало работы](./1-getting-started/README.md) |                     Введение в IoT                     | Узнайте основные принципы IoT и базовые элементы IoT-решений, такие как датчики и облачные сервисы, пока вы настраиваете свое первое IoT-устройство |                      [Введение в IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Начало работы](./1-getting-started/README.md) |                   Более глубокое изучение IoT                    | Узнайте больше о компонентах IoT-системы, а также о микроконтроллерах и одноплатных компьютерах                                                            |                        [Более глубокое изучение IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Начало работы](./1-getting-started/README.md) | Взаимодействие с физическим миром с помощью датчиков и исполнительных механизмов | Узнайте о датчиках для сбора данных из физического мира и исполнительных механизмах для обратной связи, пока вы создаете ночник                                           | [Взаимодействие с физическим миром с помощью датчиков и исполнительных механизмов](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Начало работы](./1-getting-started/README.md) |             Подключите свое устройство к Интернету             | Узнайте, как подключить IoT-устройство к Интернету для отправки и получения сообщений, подключив ваш ночник к брокеру MQTT                               |               [Подключите свое устройство к Интернету](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Ферма](./2-farm/README.md)            |                    Прогноз роста растений                     | Узнайте, как прогнозировать рост растений, используя данные о температуре, собранные IoT-устройством                                                                                  |                          [Прогноз роста растений](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Ферма](./2-farm/README.md)            |                    Определение влажности почвы                     | Узнайте, как определить влажность почвы и откалибровать датчик влажности                                                                                              |                          [Определение влажности почвы](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Ферма](./2-farm/README.md)            |                  Автоматический полив растений                   | Узнайте, как автоматизировать и настроить время полива с помощью реле и MQTT                                                                                                      |                      [Автоматический полив растений](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Ферма](./2-farm/README.md)            |               Перенос вашего растения в облако               | Узнайте об облаке и облачных IoT-сервисах, а также о том, как подключить ваше растение к одному из них вместо публичного брокера MQTT                                   |               [Перенос вашего растения в облако](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Ферма](./2-farm/README.md)            |         Перенос логики приложения в облако         | Узнайте, как можно написать логику приложения в облаке, которая реагирует на сообщения IoT                                                                          |         [Перенос логики приложения в облако](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Ферма](./2-farm/README.md)            |                   Защита вашего растения                    | Узнайте о безопасности в IoT и о том, как защитить ваше растение с помощью ключей и сертификатов                                                                          |                        [Защита вашего растения](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Транспорт](./3-transport/README.md)       |                      Отслеживание местоположения                      | Узнайте об отслеживании местоположения с помощью GPS для IoT-устройств                                                                                                                   |                           [Отслеживание местоположения](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Транспорт](./3-transport/README.md)       |                     Хранение данных о местоположении                     | Узнайте, как хранить данные IoT для их визуализации или последующего анализа                                                                                                      |                         [Хранение данных о местоположении](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Транспорт](./3-transport/README.md)       |                   Визуализация данных о местоположении                   | Узнайте о визуализации данных о местоположении на карте и о том, как карты представляют реальный трехмерный мир в двух измерениях                                                            |                     [Визуализация данных о местоположении](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Транспорт](./3-transport/README.md)       |                          Геозоны                          | Узнайте о геозонах и о том, как их можно использовать для оповещения, когда транспортные средства в цепочке поставок приближаются к месту назначения                                           |                                   [Геозоны](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Производство](./4-manufacturing/README.md)   |               Обучение детектора качества фруктов                | Узнайте, как обучить классификатор изображений в облаке для определения качества фруктов                                                                                       |                 [Обучение детектора качества фруктов](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Производство](./4-manufacturing/README.md)   |           Проверка качества фруктов с IoT-устройства            | Узнайте, как использовать детектор качества фруктов с IoT-устройства                                                                                                    |           [Проверка качества фруктов с IoT-устройства](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Производство](./4-manufacturing/README.md)   |             Запуск детектора фруктов на периферии             | Узнайте, как запустить детектор фруктов на IoT-устройстве на периферии                                                                                                |             [Запуск детектора фруктов на периферии](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Производство](./4-manufacturing/README.md)   |        Запуск определения качества фруктов с датчика        | Узнайте, как запустить определение качества фруктов с датчика                                                                                                        |        [Запуск определения качества фруктов с датчика](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Розничная торговля](./5-retail/README.md)          |                   Обучение детектора наличия товаров                    | Узнайте, как использовать обнаружение объектов для обучения детектора наличия товаров для подсчета запасов в магазине                                                                                |                        [Обучение детектора наличия товаров](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Розничная торговля](./5-retail/README.md)          |               Проверка наличия товаров с IoT-устройства                | Узнайте, как проверять наличие товаров с IoT-устройства, используя модель обнаружения объектов                                                                                         |                     [Проверка наличия товаров с IoT-устройства](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Потребитель](./6-consumer/README.md)        |             Распознавание речи с IoT-устройства             | Узнайте, как распознавать речь с IoT-устройства для создания умного таймера                                                                                             |                  [Распознавание речи с IoT-устройства](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Потребитель](./6-consumer/README.md)        |                     Понимание языка                     | Узнайте, как понимать предложения, произнесенные IoT-устройству                                                                                                           |                        [Понимание языка](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Потребитель](./6-consumer/README.md)        |           Установка таймера и предоставление голосовой обратной связи           | Узнайте, как установить таймер на IoT-устройстве и дать голосовую обратную связь о времени установки таймера и его завершении                                                    |                 [Установка таймера и предоставление голосовой обратной связи](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Потребитель](./6-consumer/README.md)        |                 Поддержка нескольких языков                  | Узнайте, как поддерживать несколько языков, как для ввода, так и для ответов вашего умного таймера                                                               |                   [Поддержка нескольких языков](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  01   | [Начало работы](./1-getting-started/README.md) |                     Введение в IoT                     | Узнайте основные принципы IoT и базовые элементы IoT-решений, такие как датчики и облачные сервисы, пока вы настраиваете свое первое IoT-устройство           |                      [Введение в IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Начало работы](./1-getting-started/README.md) |                   Более глубокое изучение IoT                    | Узнайте больше о компонентах IoT-системы, а также о микроконтроллерах и одноплатных компьютерах                                                                |                        [Более глубокое изучение IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Начало работы](./1-getting-started/README.md) | Взаимодействие с физическим миром с помощью датчиков и актуаторов | Узнайте о датчиках для сбора данных из физического мира и актуаторах для обратной связи, пока вы создаете ночник                                              | [Взаимодействие с физическим миром с помощью датчиков и актуаторов](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Начало работы](./1-getting-started/README.md) |             Подключите ваше устройство к Интернету             | Узнайте, как подключить IoT-устройство к Интернету для отправки и получения сообщений, подключив ваш ночник к MQTT-брокеру                                   |               [Подключите ваше устройство к Интернету](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Ферма](./2-farm/README.md)            |                    Прогноз роста растений                     | Узнайте, как прогнозировать рост растений, используя данные о температуре, собранные IoT-устройством                                                          |                          [Прогноз роста растений](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Ферма](./2-farm/README.md)            |                    Определение влажности почвы                     | Узнайте, как определить влажность почвы и откалибровать датчик влажности                                                                                      |                          [Определение влажности почвы](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Ферма](./2-farm/README.md)            |                  Автоматический полив растений                   | Узнайте, как автоматизировать и настроить полив с помощью реле и MQTT                                                                                        |                      [Автоматический полив растений](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Ферма](./2-farm/README.md)            |               Перенос вашего растения в облако               | Узнайте об облаке и облачных IoT-сервисах, а также о том, как подключить ваше растение к одному из них вместо публичного MQTT-брокера                         |               [Перенос вашего растения в облако](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ферма](./2-farm/README.md)            |         Перенос логики приложения в облако         | Узнайте, как можно написать логику приложения в облаке, которая реагирует на IoT-сообщения                                                                    |         [Перенос логики приложения в облако](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Ферма](./2-farm/README.md)            |                   Защита вашего растения                    | Узнайте о безопасности в IoT и о том, как защитить ваше растение с помощью ключей и сертификатов                                                              |                        [Защита вашего растения](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Транспорт](./3-transport/README.md)       |                      Отслеживание местоположения                      | Узнайте об отслеживании местоположения с помощью GPS для IoT-устройств                                                                                         |                           [Отслеживание местоположения](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Транспорт](./3-transport/README.md)       |                     Хранение данных о местоположении                     | Узнайте, как хранить данные IoT для их визуализации или анализа позже                                                                                          |                         [Хранение данных о местоположении](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Транспорт](./3-transport/README.md)       |                   Визуализация данных о местоположении                   | Узнайте о визуализации данных о местоположении на карте и о том, как карты представляют реальный 3D-мир в двух измерениях                                      |                     [Визуализация данных о местоположении](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Транспорт](./3-transport/README.md)       |                          Геозоны                          | Узнайте о геозонах и о том, как их можно использовать для оповещения, когда транспортные средства в цепочке поставок приближаются к месту назначения           |                                   [Геозоны](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Производство](./4-manufacturing/README.md)   |               Обучение детектора качества фруктов                | Узнайте, как обучить классификатор изображений в облаке для определения качества фруктов                                                                       |                 [Обучение детектора качества фруктов](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Производство](./4-manufacturing/README.md)   |           Проверка качества фруктов с IoT-устройства            | Узнайте, как использовать детектор качества фруктов с IoT-устройства                                                                                          |           [Проверка качества фруктов с IoT-устройства](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Производство](./4-manufacturing/README.md)   |             Запуск детектора фруктов на периферии             | Узнайте, как запустить детектор фруктов на IoT-устройстве на периферии                                                                                        |             [Запуск детектора фруктов на периферии](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Производство](./4-manufacturing/README.md)   |        Запуск определения качества фруктов с датчика        | Узнайте, как запустить определение качества фруктов с датчика                                                                                                 |        [Запуск определения качества фруктов с датчика](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Розничная торговля](./5-retail/README.md)          |                   Обучение детектора наличия товаров                    | Узнайте, как использовать обнаружение объектов для обучения детектора наличия товаров для подсчета товаров в магазине                                         |                        [Обучение детектора наличия товаров](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Розничная торговля](./5-retail/README.md)          |               Проверка наличия товаров с IoT-устройства                | Узнайте, как проверить наличие товаров с IoT-устройства, используя модель обнаружения объектов                                                                |                     [Проверка наличия товаров с IoT-устройства](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Потребитель](./6-consumer/README.md)        |             Распознавание речи с IoT-устройства             | Узнайте, как распознавать речь с IoT-устройства для создания умного таймера                                                                                   |                  [Распознавание речи с IoT-устройства](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Потребитель](./6-consumer/README.md)        |                     Понимание языка                     | Узнайте, как понимать предложения, произнесенные IoT-устройству                                                                                               |                        [Понимание языка](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Потребитель](./6-consumer/README.md)        |           Установка таймера и предоставление голосовой обратной связи           | Узнайте, как установить таймер на IoT-устройстве и дать голосовую обратную связь о времени установки таймера и его завершении                                 |                 [Установка таймера и предоставление голосовой обратной связи](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Потребитель](./6-consumer/README.md)        |                 Поддержка нескольких языков                  | Узнайте, как поддерживать несколько языков, как для ввода, так и для ответов вашего умного таймера                                                            |                   [Поддержка нескольких языков](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Оффлайн-доступ
 
-Вы можете использовать эту документацию оффлайн с помощью [Docsify](https://docsify.js.org/#/). Сделайте форк этого репозитория, [установите Docsify](https://docsify.js.org/#/quickstart) на вашем локальном компьютере, а затем в корневой папке этого репозитория введите `docsify serve`. Веб-сайт будет доступен на порту 3000 вашего локального хоста: `localhost:3000`.
+Вы можете использовать эту документацию оффлайн с помощью [Docsify](https://docsify.js.org/#/). Форкните этот репозиторий, [установите Docsify](https://docsify.js.org/#/quickstart) на вашем локальном компьютере, а затем в корневой папке этого репозитория введите `docsify serve`. Веб-сайт будет доступен на порту 3000 вашего локального хоста: `localhost:3000`.
 
 ## Викторина
 
@@ -135,7 +141,7 @@ CO_OP_TRANSLATOR_METADATA:
 
 ### PDF
 
-Вы можете создать PDF-версию этого контента для оффлайн-доступа, если это необходимо. Для этого убедитесь, что у вас установлен [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm), и выполните следующие команды в корневой папке этого репозитория:
+Вы можете создать PDF этой документации для оффлайн-доступа, если это необходимо. Для этого убедитесь, что у вас установлен [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm), и выполните следующие команды в корневой папке этого репозитория:
 
 ```sh
 npm i
@@ -149,7 +155,7 @@ npm run convert
 
 ## Другие учебные программы
 
-Наша команда создает и другие учебные программы! Ознакомьтесь:
+Наша команда создает другие учебные программы! Ознакомьтесь:
 
 ### Azure / Edge / MCP / Agents
 [![AZD для начинающих](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -158,7 +164,7 @@ npm run convert
 [![AI Agents для начинающих](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Серия по генеративному ИИ
 [![Генеративный ИИ для начинающих](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Генеративный ИИ (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
@@ -166,11 +172,11 @@ npm run convert
 [![Генеративный ИИ (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Основное обучение
-[![ML для начинающих](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
-[![Data Science для начинающих](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI для начинающих](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Машинное обучение для начинающих](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Наука о данных для начинающих](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![ИИ для начинающих](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
 [![Кибербезопасность для начинающих](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
 [![Веб-разработка для начинающих](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
 [![IoT для начинающих](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
@@ -190,5 +196,7 @@ npm run convert
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Отказ от ответственности**:  
-Этот документ был переведен с использованием сервиса автоматического перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Несмотря на наши усилия обеспечить точность, автоматические переводы могут содержать ошибки или неточности. Оригинальный документ на его родном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется профессиональный перевод человеком. Мы не несем ответственности за любые недоразумения или неправильные интерпретации, возникающие в результате использования данного перевода.
\ No newline at end of file
+Этот документ был переведен с использованием сервиса автоматического перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Несмотря на наши усилия обеспечить точность, автоматический перевод может содержать ошибки или неточности. Оригинальный документ на его родном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется профессиональный перевод человеком. Мы не несем ответственности за любые недоразумения или неправильные толкования, возникшие в результате использования данного перевода.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/sk/README.md b/translations/sk/README.md
index ff40fb97a..ca5088caf 100644
--- a/translations/sk/README.md
+++ b/translations/sk/README.md
@@ -1,138 +1,143 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:22:53+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:03:06+00:00",
   "source_file": "README.md",
   "language_code": "sk"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Pripojte sa do komunity Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Pripojte sa ku komunite Azure AI Foundry  
 
-Postupujte podľa týchto krokov, aby ste mohli začať používať tieto zdroje:
-1. **Forknite repozitár**: Kliknite [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klonujte repozitár**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Pripojte sa na Discord Azure AI Foundry a stretnite sa s odborníkmi a ďalšími vývojármi**](https://discord.com/invite/ByRwuEEgH4)
+Ak sa zaseknete alebo máte otázky ohľadom vytvárania AI aplikácií, pripojte sa k ostatným študentom a skúseným vývojárom v diskusiách o MCP. Je to podporná komunita, kde sú otázky vítané a znalosti sa voľne zdieľajú.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Podpora viacerých jazykov
+Ak máte spätnú väzbu k produktu alebo narazíte na chyby pri vytváraní, navštívte:  
 
-#### Podporované prostredníctvom GitHub Action (automatizované a vždy aktuálne)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabčina](../ar/README.md) | [Bengálčina](../bn/README.md) | [Bulharčina](../bg/README.md) | [Barmčina (Mjanmarsko)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradičná, Hongkong)](../hk/README.md) | [Čínština (tradičná, Macao)](../mo/README.md) | [Čínština (tradičná, Taiwan)](../tw/README.md) | [Chorvátčina](../hr/README.md) | [Čeština](../cs/README.md) | [Dánčina](../da/README.md) | [Holandčina](../nl/README.md) | [Estónčina](../et/README.md) | [Fínčina](../fi/README.md) | [Francúzština](../fr/README.md) | [Nemčina](../de/README.md) | [Gréčtina](../el/README.md) | [Hebrejčina](../he/README.md) | [Hindčina](../hi/README.md) | [Maďarčina](../hu/README.md) | [Indonézština](../id/README.md) | [Taliančina](../it/README.md) | [Japončina](../ja/README.md) | [Kórejčina](../ko/README.md) | [Litovčina](../lt/README.md) | [Malajčina](../ms/README.md) | [Maráthčina](../mr/README.md) | [Nepálčina](../ne/README.md) | [Nórčina](../no/README.md) | [Perzština (Farsí)](../fa/README.md) | [Poľština](../pl/README.md) | [Portugalčina (Brazília)](../br/README.md) | [Portugalčina (Portugalsko)](../pt/README.md) | [Pandžábčina (Gurmukhi)](../pa/README.md) | [Rumunčina](../ro/README.md) | [Ruština](../ru/README.md) | [Srbčina (cyrilika)](../sr/README.md) | [Slovenčina](./README.md) | [Slovinčina](../sl/README.md) | [Španielčina](../es/README.md) | [Swahilčina](../sw/README.md) | [Švédčina](../sv/README.md) | [Tagalog (Filipínčina)](../tl/README.md) | [Tamilčina](../ta/README.md) | [Thajčina](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinčina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamčina](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+Postupujte podľa týchto krokov, aby ste mohli začať používať tieto zdroje:  
+1. **Forknite repozitár**: Kliknite [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klonujte repozitár**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Pripojte sa k Microsoft Foundry Discord a stretnite sa s odborníkmi a ostatnými vývojármi**](https://discord.com/invite/ByRwuEEgH4)  
 
-# IoT pre začiatočníkov - učebné osnovy
+### 🌐 Podpora viacerých jazykov  
 
-Azure Cloud Advocates v spoločnosti Microsoft s radosťou ponúkajú 12-týždňové učebné osnovy s 24 lekciami o základoch IoT. Každá lekcia obsahuje kvízy pred a po lekcii, písomné pokyny na dokončenie lekcie, riešenie, úlohu a ďalšie. Naša projektovo orientovaná pedagogika vám umožní učiť sa prostredníctvom praktických projektov, čo je osvedčený spôsob, ako si osvojiť nové zručnosti.
+#### Podporované prostredníctvom GitHub Action (automatizované a vždy aktuálne)  
 
-Projekty pokrývajú cestu potravín od farmy až po stôl. Zahŕňajú poľnohospodárstvo, logistiku, výrobu, maloobchod a spotrebiteľov - všetko sú to populárne oblasti priemyslu pre IoT zariadenia.
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
+[Arabčina](../ar/README.md) | [Bengálčina](../bn/README.md) | [Bulharčina](../bg/README.md) | [Barmčina (Mjanmarsko)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradičná, Hongkong)](../hk/README.md) | [Čínština (tradičná, Macao)](../mo/README.md) | [Čínština (tradičná, Taiwan)](../tw/README.md) | [Chorvátčina](../hr/README.md) | [Čeština](../cs/README.md) | [Dánčina](../da/README.md) | [Holandčina](../nl/README.md) | [Estónčina](../et/README.md) | [Fínčina](../fi/README.md) | [Francúzština](../fr/README.md) | [Nemčina](../de/README.md) | [Gréčtina](../el/README.md) | [Hebrejčina](../he/README.md) | [Hindčina](../hi/README.md) | [Maďarčina](../hu/README.md) | [Indonézština](../id/README.md) | [Taliančina](../it/README.md) | [Japončina](../ja/README.md) | [Kórejčina](../ko/README.md) | [Litovčina](../lt/README.md) | [Malajčina](../ms/README.md) | [Maráthčina](../mr/README.md) | [Nepálčina](../ne/README.md) | [Nigérijský pidgin](../pcm/README.md) | [Nórčina](../no/README.md) | [Perzština (Farsi)](../fa/README.md) | [Poľština](../pl/README.md) | [Portugalčina (Brazília)](../br/README.md) | [Portugalčina (Portugalsko)](../pt/README.md) | [Pandžábčina (Gurmukhi)](../pa/README.md) | [Rumunčina](../ro/README.md) | [Ruština](../ru/README.md) | [Srbčina (cyrilika)](../sr/README.md) | [Slovenčina](./README.md) | [Slovinčina](../sl/README.md) | [Španielčina](../es/README.md) | [Swahilčina](../sw/README.md) | [Švédčina](../sv/README.md) | [Tagalog (Filipínčina)](../tl/README.md) | [Tamilčina](../ta/README.md) | [Thajčina](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinčina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamčina](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
 
-![Mapa kurzu zobrazujúca 24 lekcií pokrývajúcich úvod, poľnohospodárstvo, dopravu, spracovanie, maloobchod a varenie](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sk.jpg)
+# IoT pre začiatočníkov - učebné osnovy  
 
-> Sketchnote od [Nitya Narasimhan](https://github.com/nitya). Kliknite na obrázok pre väčšiu verziu.
+Azure Cloud Advocates v Microsoft s radosťou ponúkajú 12-týždňové, 24-lekčné učebné osnovy o základoch IoT. Každá lekcia obsahuje kvízy pred a po lekcii, písomné pokyny na dokončenie lekcie, riešenie, úlohu a ďalšie. Naša projektovo orientovaná pedagogika vám umožní učiť sa prostredníctvom tvorby, čo je osvedčený spôsob, ako si nové zručnosti lepšie zapamätať.  
 
-**Veľká vďaka našim autorom [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) a našej sketchnote umelkyni [Nitya Narasimhan](https://github.com/nitya).**
+Projekty pokrývajú cestu jedla od farmy na stôl. Zahŕňa to poľnohospodárstvo, logistiku, výrobu, maloobchod a spotrebiteľa - všetko populárne oblasti priemyslu pre IoT zariadenia.  
 
-**Ďakujeme tiež nášmu tímu [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), ktorí revidovali a prekladali tieto učebné osnovy - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) a [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+![Mapa kurzu zobrazujúca 24 lekcií pokrývajúcich úvod, poľnohospodárstvo, dopravu, spracovanie, maloobchod a varenie](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sk.jpg)  
 
-Zoznámte sa s tímom!
+> Sketchnote od [Nitya Narasimhan](https://github.com/nitya). Kliknite na obrázok pre väčšiu verziu.  
 
-[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+**Veľká vďaka našim autorom [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) a našej sketchnote umelkyni [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Gif od** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Ďakujeme tiež nášmu tímu [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), ktorí prehodnocovali a prekladali tieto učebné osnovy - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) a [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> 🎥 Kliknite na obrázok vyššie pre video o projekte!
+Zoznámte sa s tímom!  
 
-> **Učitelia**, [pridali sme niekoľko návrhov](for-teachers.md), ako používať tieto učebné osnovy. Ak by ste chceli vytvoriť vlastné lekcie, pridali sme aj [šablónu lekcie](lesson-template/README.md).
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> **[Študenti](https://aka.ms/student-page)**, ak chcete tieto učebné osnovy používať samostatne, forknite celý repozitár a samostatne dokončite cvičenia, začnite kvízom pred prednáškou, potom si prečítajte prednášku a dokončite zvyšné aktivity. Pokúste sa vytvoriť projekty pochopením lekcií namiesto kopírovania kódu riešenia; tento kód je však dostupný v priečinkoch /solutions v každej projektovo orientovanej lekcii. Ďalším nápadom by bolo vytvoriť študijnú skupinu s priateľmi a prejsť obsah spoločne. Na ďalšie štúdium odporúčame [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+**Gif od** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-Pre video prehľad tohto kurzu si pozrite toto video:
+> 🎥 Kliknite na obrázok vyššie pre video o projekte!  
 
-[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> **Učitelia**, [pridali sme niekoľko návrhov](for-teachers.md), ako používať tieto učebné osnovy. Ak by ste chceli vytvoriť vlastné lekcie, pridali sme aj [šablónu lekcie](lesson-template/README.md).  
 
-> 🎥 Kliknite na obrázok vyššie pre video o projekte!
+> **[Študenti](https://aka.ms/student-page)**, ak chcete používať tieto učebné osnovy samostatne, forknite celý repozitár a dokončite cvičenia sami, začnite kvízom pred lekciou, potom si prečítajte lekciu a dokončite zvyšok aktivít. Pokúste sa vytvárať projekty pochopením lekcií namiesto kopírovania kódu riešenia; tento kód je však dostupný v priečinkoch /solutions v každej projektovo orientovanej lekcii. Ďalším nápadom by bolo vytvoriť študijnú skupinu s priateľmi a prejsť obsah spoločne. Na ďalšie štúdium odporúčame [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-## Pedagogika
+Pre video prehľad tohto kurzu si pozrite toto video:  
 
-Pri tvorbe týchto učebných osnov sme sa rozhodli pre dva pedagogické princípy: zabezpečiť, aby boli založené na projektoch, a aby obsahovali časté kvízy. Na konci tejto série študenti vytvoria systém monitorovania a zavlažovania rastlín, sledovač vozidiel, inteligentné továrenské nastavenie na sledovanie a kontrolu potravín a hlasom ovládaný časovač na varenie, a naučia sa základy internetu vecí vrátane písania kódu pre zariadenia, pripojenia na cloud, analýzy telemetrie a spúšťania AI na okraji.
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-Zabezpečením, že obsah je založený na projektoch, sa proces stáva pre študentov pútavejším a zlepšuje sa zapamätanie si konceptov.
+> 🎥 Kliknite na obrázok vyššie pre video o projekte!  
 
-Okrem toho, kvíz s nízkym rizikom pred hodinou nastavuje úmysel študenta na učenie sa témy, zatiaľ čo druhý kvíz po hodine zabezpečuje ďalšie zapamätanie. Tieto učebné osnovy boli navrhnuté tak, aby boli flexibilné a zábavné a mohli byť absolvované ako celok alebo po častiach. Projekty začínajú jednoducho a postupne sa stávajú zložitejšími na konci 12-týždňového cyklu.
+## Pedagogika  
 
-Každý projekt je založený na reálnom hardvéri dostupnom študentom a nadšencom. Každý projekt sa zaoberá konkrétnou oblasťou projektu a poskytuje relevantné základné znalosti. Aby bol vývojár úspešný, je užitočné pochopiť oblasť, v ktorej rieši problémy, a poskytnutie týchto základných znalostí umožňuje študentom premýšľať o svojich IoT riešeniach a poznatkoch v kontexte reálnych problémov, ktoré by mohli byť požiadaní riešiť ako IoT vývojári. Študenti sa naučia „prečo“ riešení, ktoré vytvárajú, a získajú ocenenie od koncového používateľa.
+Pri vytváraní týchto učebných osnov sme si zvolili dve pedagogické zásady: zabezpečiť, aby boli projektovo orientované a aby obsahovali časté kvízy. Na konci tejto série študenti vytvoria systém na monitorovanie a zalievanie rastlín, sledovač vozidiel, inteligentnú továrenskú zostavu na sledovanie a kontrolu potravín a hlasom ovládaný kuchynský časovač, a naučia sa základy internetu vecí vrátane písania kódu pre zariadenia, pripojenia ku cloudu, analýzy telemetrie a spúšťania AI na okraji.  
 
-## Hardvér
+Zabezpečením, že obsah je v súlade s projektmi, sa proces stáva pre študentov pútavejším a zlepšuje sa zapamätanie konceptov.  
 
-Pre projekty máme na výber dva typy IoT hardvéru v závislosti od osobných preferencií, znalostí programovacích jazykov alebo preferencií, cieľov učenia a dostupnosti. Poskytli sme tiež verziu „virtuálneho hardvéru“ pre tých, ktorí nemajú prístup k hardvéru alebo sa chcú najskôr naučiť viac, než sa rozhodnú pre nákup. Viac informácií a „nákupný zoznam“ nájdete na [stránke o hardvéri](./hardware.md), vrátane odkazov na kúpu kompletných súprav od našich priateľov v Seeed Studio.
+Okrem toho nízko stresový kvíz pred hodinou nastaví úmysel študenta na učenie sa témy, zatiaľ čo druhý kvíz po hodine zabezpečí ďalšie zapamätanie. Tieto učebné osnovy boli navrhnuté tak, aby boli flexibilné a zábavné, a môžu byť absolvované celé alebo čiastočne. Projekty začínajú malé a postupne sa stávajú zložitejšími na konci 12-týždňového cyklu.  
 
-> 💁 Nájdite naše [Pravidlá správania](CODE_OF_CONDUCT.md), [Prispievanie](CONTRIBUTING.md) a [Prekladové](TRANSLATIONS.md) pokyny. Uvítame vašu konštruktívnu spätnú väzbu!
+Každý projekt je založený na reálnom hardvéri dostupnom študentom a nadšencom. Každý projekt sa zaoberá konkrétnou projektovou doménou, poskytujúc relevantné základné znalosti. Aby bol vývojár úspešný, je užitočné pochopiť doménu, v ktorej rieši problémy, poskytovanie týchto základných znalostí umožňuje študentom premýšľať o svojich IoT riešeniach a poznatkoch v kontexte reálneho problému, ktorý by mohli byť požiadaní vyriešiť ako IoT vývojári. Študenti sa učia 'prečo' riešení, ktoré vytvárajú, a získavajú ocenenie koncového používateľa.  
 
-## Každá lekcia obsahuje:
+## Hardvér  
 
-- sketchnote
-- voliteľné doplnkové video
-- kvíz na zahriatie pred lekciou
-- písomná lekcia
-- pre projektovo orientované lekcie, podrobné návody na vytvorenie projektu
-- kontrola vedomostí
-- výzva
-- doplnkové čítanie
-- úloha
-- [kvíz po lekcii](https://ff-quizzes.netlify.app/en/)
+Máme dve možnosti IoT hardvéru na použitie v projektoch v závislosti od osobných preferencií, znalostí programovacích jazykov alebo preferencií, cieľov učenia a dostupnosti. Poskytli sme tiež verziu 'virtuálneho hardvéru' pre tých, ktorí nemajú prístup k hardvéru alebo sa chcú naučiť viac predtým, než sa rozhodnú pre nákup. Viac informácií a 'nákupný zoznam' nájdete na [stránke o hardvéri](./hardware.md), vrátane odkazov na kúpu kompletných súprav od našich priateľov v Seeed Studio.  
 
-> **Poznámka o kvízoch**: Všetky kvízy sú obsiahnuté v priečinku quiz-app, celkovo 48 kvízov po tri otázky. Sú prepojené v rámci lekcií, ale aplikáciu kvízov je možné spustiť lokálne alebo nasadiť na Azure; postupujte podľa pokynov v priečinku `quiz-app`. Postupne sa lokalizujú.
+> 💁 Nájdite naše [Pravidlá správania](CODE_OF_CONDUCT.md), [Prispievanie](CONTRIBUTING.md) a [Prekladateľské](TRANSLATIONS.md) pokyny. Vaša konštruktívna spätná väzba je vítaná!  
+
+## Každá lekcia obsahuje:  
+
+- sketchnote  
+- voliteľné doplnkové video  
+- kvíz na zahriatie pred lekciou  
+- písomnú lekciu  
+- pre projektovo orientované lekcie, podrobné návody na vytvorenie projektu  
+- kontrolu znalostí  
+- výzvu  
+- doplnkové čítanie  
+- úlohu  
+- [kvíz po lekcii](https://ff-quizzes.netlify.app/en/)  
+> **Poznámka o kvízoch**: Všetky kvízy sa nachádzajú v priečinku quiz-app, celkovo 48 kvízov, každý s tromi otázkami. Sú prepojené v rámci lekcií, ale aplikáciu kvízov je možné spustiť lokálne alebo nasadiť na Azure; postupujte podľa pokynov v priečinku `quiz-app`. Postupne sa lokalizujú.
 
 ## Lekcie
 
 |       |              Názov projektu              |                       Učené koncepty                       | Ciele učenia                                                                                                                                                 |                                                        Prepojená lekcia                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+| :---: | :--------------------------------------: | :--------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | :-----------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Začíname](./1-getting-started/README.md) |                     Úvod do IoT                     | Naučte sa základné princípy IoT a základné stavebné bloky IoT riešení, ako sú senzory a cloudové služby, zatiaľ čo nastavujete svoje prvé IoT zariadenie |                      [Úvod do IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Začíname](./1-getting-started/README.md) |                   Hlbší pohľad na IoT                    | Získajte viac informácií o komponentoch IoT systému, ako aj o mikrokontroléroch a jednodeskových počítačoch                                                            |                        [Hlbší pohľad na IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  02   | [Začíname](./1-getting-started/README.md) |                   Hlbší pohľad na IoT                    | Naučte sa viac o komponentoch IoT systému, ako aj o mikrokontroléroch a jednodeskových počítačoch                                                            |                        [Hlbší pohľad na IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [Začíname](./1-getting-started/README.md) | Interakcia s fyzickým svetom pomocou senzorov a akčných členov | Naučte sa o senzoroch na zhromažďovanie údajov z fyzického sveta a akčných členoch na odosielanie spätnej väzby, zatiaľ čo vytvárate nočné svetlo                                           | [Interakcia s fyzickým svetom pomocou senzorov a akčných členov](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Začíname](./1-getting-started/README.md) |             Pripojte svoje zariadenie k internetu             | Naučte sa, ako pripojiť IoT zariadenie k internetu na odosielanie a prijímanie správ pripojením vášho nočného svetla k MQTT brokeru                               |               [Pripojte svoje zariadenie k internetu](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    Predpovedajte rast rastlín                     | Naučte sa predpovedať rast rastlín pomocou údajov o teplote zachytených IoT zariadením                                                                                  |                          [Predpovedajte rast rastlín](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Farm](./2-farm/README.md)            |                    Zistite vlhkosť pôdy                     | Naučte sa zistiť vlhkosť pôdy a kalibrovať senzor vlhkosti pôdy                                                                                              |                          [Zistite vlhkosť pôdy](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  Automatizované zavlažovanie rastlín                   | Naučte sa automatizovať a načasovať zavlažovanie pomocou relé a MQTT                                                                                                      |                      [Automatizované zavlažovanie rastlín](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farm](./2-farm/README.md)            |               Presuňte svoju rastlinu do cloudu               | Naučte sa o cloude a cloudových IoT službách a ako pripojiť svoju rastlinu k jednej z nich namiesto verejného MQTT brokeru                                   |               [Presuňte svoju rastlinu do cloudu](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Farm](./2-farm/README.md)            |         Presuňte logiku svojej aplikácie do cloudu         | Naučte sa, ako môžete písať logiku aplikácie v cloude, ktorá reaguje na IoT správy                                                                          |         [Presuňte logiku svojej aplikácie do cloudu](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Farm](./2-farm/README.md)            |                   Zabezpečte svoju rastlinu                    | Naučte sa o bezpečnosti s IoT a ako zabezpečiť svoju rastlinu pomocou kľúčov a certifikátov                                                                          |                        [Zabezpečte svoju rastlinu](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Sledovanie polohy                      | Naučte sa o GPS sledovaní polohy pre IoT zariadenia                                                                                                                   |                           [Sledovanie polohy](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Ukladanie údajov o polohe                     | Naučte sa ukladať IoT údaje na ich vizualizáciu alebo neskoršiu analýzu                                                                                                      |                         [Ukladanie údajov o polohe](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizácia údajov o polohe                   | Naučte sa vizualizovať údaje o polohe na mape a ako mapy zobrazujú skutočný 3D svet v 2 rozmeroch                                                            |                     [Vizualizácia údajov o polohe](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofencing                          | Naučte sa o geofencingu a ako ho možno použiť na upozornenie, keď sa vozidlá v dodávateľskom reťazci blížia k svojmu cieľu                                           |                                   [Geofencing](./3-transport/lessons/4-geofences/README.md)                                   |
+|  04   | [Začíname](./1-getting-started/README.md) |             Pripojte svoje zariadenie na internet             | Naučte sa, ako pripojiť IoT zariadenie na internet na odosielanie a prijímanie správ pripojením vášho nočného svetla k MQTT brokeru                               |               [Pripojte svoje zariadenie na internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farma](./2-farm/README.md)            |                    Predpovedajte rast rastlín                     | Naučte sa predpovedať rast rastlín pomocou údajov o teplote zachytených IoT zariadením                                                                                  |                          [Predpovedajte rast rastlín](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Farma](./2-farm/README.md)            |                    Detekcia vlhkosti pôdy                     | Naučte sa detekovať vlhkosť pôdy a kalibrovať senzor vlhkosti pôdy                                                                                              |                          [Detekcia vlhkosti pôdy](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Farma](./2-farm/README.md)            |                  Automatické zavlažovanie rastlín                   | Naučte sa automatizovať a načasovať zavlažovanie pomocou relé a MQTT                                                                                                      |                      [Automatické zavlažovanie rastlín](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farma](./2-farm/README.md)            |               Migrácia vašej rastliny do cloudu               | Naučte sa o cloude a cloudových IoT službách a ako pripojiť vašu rastlinu k jednej z nich namiesto verejného MQTT brokera                                   |               [Migrácia vašej rastliny do cloudu](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Farma](./2-farm/README.md)            |         Migrácia aplikačnej logiky do cloudu         | Naučte sa, ako môžete písať aplikačnú logiku v cloude, ktorá reaguje na IoT správy                                                                          |         [Migrácia aplikačnej logiky do cloudu](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Farma](./2-farm/README.md)            |                   Zabezpečte svoju rastlinu                    | Naučte sa o bezpečnosti s IoT a ako zabezpečiť svoju rastlinu pomocou kľúčov a certifikátov                                                                          |                        [Zabezpečte svoju rastlinu](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Doprava](./3-transport/README.md)       |                      Sledovanie polohy                      | Naučte sa o GPS sledovaní polohy pre IoT zariadenia                                                                                                                   |                           [Sledovanie polohy](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Doprava](./3-transport/README.md)       |                     Ukladanie údajov o polohe                     | Naučte sa ukladať IoT údaje na ich vizualizáciu alebo neskoršiu analýzu                                                                                                      |                         [Ukladanie údajov o polohe](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Doprava](./3-transport/README.md)       |                   Vizualizácia údajov o polohe                   | Naučte sa vizualizovať údaje o polohe na mape a ako mapy reprezentujú reálny 3D svet v dvoch rozmeroch                                                            |                     [Vizualizácia údajov o polohe](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Doprava](./3-transport/README.md)       |                          Geoohrady                          | Naučte sa o geoohradách a ako ich možno použiť na upozornenie, keď sa vozidlá v dodávateľskom reťazci blížia k svojmu cieľu                                           |                                   [Geoohrady](./3-transport/lessons/4-geofences/README.md)                                   |
 |  15   |   [Výroba](./4-manufacturing/README.md)   |               Trénujte detektor kvality ovocia                | Naučte sa trénovať klasifikátor obrázkov v cloude na detekciu kvality ovocia                                                                                       |                 [Trénujte detektor kvality ovocia](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Výroba](./4-manufacturing/README.md)   |           Skontrolujte kvalitu ovocia z IoT zariadenia            | Naučte sa používať detektor kvality ovocia z IoT zariadenia                                                                                                    |           [Skontrolujte kvalitu ovocia z IoT zariadenia](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Výroba](./4-manufacturing/README.md)   |             Spustite detektor ovocia na okraji             | Naučte sa spustiť detektor ovocia na IoT zariadení na okraji                                                                                                |             [Spustite detektor ovocia na okraji](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Výroba](./4-manufacturing/README.md)   |        Aktivujte detekciu kvality ovocia zo senzora        | Naučte sa aktivovať detekciu kvality ovocia zo senzora                                                                                                        |        [Aktivujte detekciu kvality ovocia zo senzora](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  16   |   [Výroba](./4-manufacturing/README.md)   |           Kontrola kvality ovocia z IoT zariadenia            | Naučte sa používať váš detektor kvality ovocia z IoT zariadenia                                                                                                    |           [Kontrola kvality ovocia z IoT zariadenia](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Výroba](./4-manufacturing/README.md)   |             Spustite detektor ovocia na okraji             | Naučte sa spúšťať váš detektor ovocia na IoT zariadení na okraji                                                                                                |             [Spustite detektor ovocia na okraji](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Výroba](./4-manufacturing/README.md)   |        Spustenie detekcie kvality ovocia zo senzora        | Naučte sa spúšťať detekciu kvality ovocia zo senzora                                                                                                        |        [Spustenie detekcie kvality ovocia zo senzora](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [Maloobchod](./5-retail/README.md)          |                   Trénujte detektor zásob                    | Naučte sa používať detekciu objektov na trénovanie detektora zásob na počítanie zásob v obchode                                                                                |                        [Trénujte detektor zásob](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Maloobchod](./5-retail/README.md)          |               Skontrolujte zásoby z IoT zariadenia                | Naučte sa skontrolovať zásoby z IoT zariadenia pomocou modelu detekcie objektov                                                                                         |                     [Skontrolujte zásoby z IoT zariadenia](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Spotrebiteľ](./6-consumer/README.md)        |             Rozpoznávajte reč pomocou IoT zariadenia             | Naučte sa rozpoznávať reč z IoT zariadenia na vytvorenie inteligentného časovača                                                                                             |                  [Rozpoznávajte reč pomocou IoT zariadenia](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Spotrebiteľ](./6-consumer/README.md)        |                     Porozumejte jazyku                     | Naučte sa porozumieť vetám hovoreným IoT zariadeniu                                                                                                           |                        [Porozumejte jazyku](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Spotrebiteľ](./6-consumer/README.md)        |           Nastavte časovač a poskytnite hovorenú spätnú väzbu           | Naučte sa nastaviť časovač na IoT zariadení a poskytnúť hovorenú spätnú väzbu o tom, kedy je časovač nastavený a kedy skončí                                                    |                 [Nastavte časovač a poskytnite hovorenú spätnú väzbu](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Spotrebiteľ](./6-consumer/README.md)        |                 Podpora viacerých jazykov                  | Naučte sa podporovať viaceré jazyky, či už pri komunikácii alebo odpovediach vášho inteligentného časovača                                                               |                   [Podpora viacerých jazykov](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  20   |          [Maloobchod](./5-retail/README.md)          |               Kontrola zásob z IoT zariadenia                | Naučte sa kontrolovať zásoby z IoT zariadenia pomocou modelu detekcie objektov                                                                                         |                     [Kontrola zásob z IoT zariadenia](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Spotrebiteľ](./6-consumer/README.md)        |             Rozpoznávanie reči pomocou IoT zariadenia             | Naučte sa rozpoznávať reč z IoT zariadenia na vytvorenie inteligentného časovača                                                                                             |                  [Rozpoznávanie reči pomocou IoT zariadenia](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Spotrebiteľ](./6-consumer/README.md)        |                     Porozumenie jazyku                     | Naučte sa porozumieť vetám hovoreným na IoT zariadenie                                                                                                           |                        [Porozumenie jazyku](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Spotrebiteľ](./6-consumer/README.md)        |           Nastavenie časovača a poskytovanie hovorených odpovedí           | Naučte sa nastaviť časovač na IoT zariadení a poskytovať hovorené odpovede o tom, kedy je časovač nastavený a kedy skončí                                                    |                 [Nastavenie časovača a poskytovanie hovorených odpovedí](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Spotrebiteľ](./6-consumer/README.md)        |                 Podpora viacerých jazykov                  | Naučte sa podporovať viacero jazykov, či už hovorených na zariadenie alebo odpovedí vášho inteligentného časovača                                                               |                   [Podpora viacerých jazykov](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline prístup
 
-Túto dokumentáciu môžete spustiť offline pomocou [Docsify](https://docsify.js.org/#/). Forknite tento repozitár, [nainštalujte Docsify](https://docsify.js.org/#/quickstart) na svojom lokálnom počítači a potom v koreňovom priečinku tohto repozitára zadajte `docsify serve`. Webová stránka bude spustená na porte 3000 na vašom localhoste: `localhost:3000`.
+Túto dokumentáciu môžete spustiť offline pomocou [Docsify](https://docsify.js.org/#/). Forknite toto repo, [nainštalujte Docsify](https://docsify.js.org/#/quickstart) na svoj lokálny počítač a potom v koreňovom priečinku tohto repozitára zadajte `docsify serve`. Webová stránka bude spustená na porte 3000 na vašom localhoste: `localhost:3000`.
 
 ## Kvíz
 
-Ďakujeme komunite za hosťovanie interaktívneho kvízu, ktorý testuje vaše znalosti o každej kapitole. Svoje znalosti môžete otestovať [tu](https://ff-quizzes.netlify.app/en/) 
+Ďakujeme komunite za hosťovanie interaktívneho kvízu, ktorý testuje vaše vedomosti o každej kapitole. Svoje vedomosti si môžete otestovať [tu](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
@@ -147,49 +152,50 @@ npm run convert
 
 Pre niektoré lekcie sú k dispozícii prezentácie v priečinku [slides](../../slides).
 
+## Iné učebné osnovy
 
-## Ďalšie učebné osnovy
-
-Náš tím vytvára aj ďalšie učebné osnovy! Pozrite si:
+Náš tím vytvára aj iné učebné osnovy! Pozrite si:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
-### Azure / Edge / MCP / Agents
-[![AZD pre začiatočníkov](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI pre začiatočníkov](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP pre začiatočníkov](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents pre začiatočníkov](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+### Azure / Edge / MCP / Agenti
+[![AZD pre začiatočníkov](https://img.shields.io/badge/AZD%20pre%20začiatočníkov-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI pre začiatočníkov](https://img.shields.io/badge/Edge%20AI%20pre%20začiatočníkov-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP pre začiatočníkov](https://img.shields.io/badge/MCP%20pre%20začiatočníkov-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agenti pre začiatočníkov](https://img.shields.io/badge/AI%20Agenti%20pre%20začiatočníkov-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generatívna AI séria
-[![Generatívna AI pre začiatočníkov](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generatívna AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generatívna AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generatívna AI pre začiatočníkov](https://img.shields.io/badge/Generatívna%20AI%20pre%20začiatočníkov-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generatívna AI (.NET)](https://img.shields.io/badge/Generatívna%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generatívna AI (Java)](https://img.shields.io/badge/Generatívna%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![Generatívna AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Základné učenie
-[![ML pre začiatočníkov](https://img.shields.io/badge/ML%20pre%20začiatočníkov-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science pre začiatočníkov](https://img.shields.io/badge/Data%20Science%20pre%20začiatočníkov-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI pre začiatočníkov](https://img.shields.io/badge/AI%20pre%20začiatočníkov-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kybernetická bezpečnosť pre začiatočníkov](https://img.shields.io/badge/Kybernetická%20bezpečnosť%20pre%20začiatočníkov-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Webový vývoj pre začiatočníkov](https://img.shields.io/badge/Webový%20vývoj%20pre%20začiatočníkov-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT pre začiatočníkov](https://img.shields.io/badge/IoT%20pre%20začiatočníkov-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR vývoj pre začiatočníkov](https://img.shields.io/badge/XR%20vývoj%20pre%20začiatočníkov-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML pre začiatočníkov](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science pre začiatočníkov](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI pre začiatočníkov](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Kybernetická bezpečnosť pre začiatočníkov](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Webový vývoj pre začiatočníkov](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT pre začiatočníkov](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR vývoj pre začiatočníkov](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Séria Copilot  
-[![Copilot pre AI párové programovanie](https://img.shields.io/badge/Copilot%20pre%20AI%20párové%20programovanie-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot pre C#/.NET](https://img.shields.io/badge/Copilot%20pre%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot dobrodružstvo](https://img.shields.io/badge/Copilot%20dobrodružstvo-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot séria
+[![Copilot pre AI párové programovanie](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot pre C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot dobrodružstvo](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Pripisovanie obrázkov  
+## Pripisovanie obrázkov
 
-Všetky pripisovania obrázkov použité v tomto kurze, kde je to potrebné, nájdete v [Pripisovania](./attributions.md).  
+Všetky pripisovania obrázkov použitých v tomto kurze, kde je to potrebné, nájdete v [Pripisovania](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Zrieknutie sa zodpovednosti**:  
-Tento dokument bol preložený pomocou služby AI prekladu [Co-op Translator](https://github.com/Azure/co-op-translator). Aj keď sa snažíme o presnosť, prosím, berte na vedomie, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho rodnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nenesieme zodpovednosť za akékoľvek nedorozumenia alebo nesprávne interpretácie vyplývajúce z použitia tohto prekladu.
\ No newline at end of file
+Tento dokument bol preložený pomocou služby AI prekladu [Co-op Translator](https://github.com/Azure/co-op-translator). Aj keď sa snažíme o presnosť, prosím, berte na vedomie, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho rodnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nenesieme zodpovednosť za akékoľvek nedorozumenia alebo nesprávne interpretácie vyplývajúce z použitia tohto prekladu.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/sl/README.md b/translations/sl/README.md
index e24a05e79..f16627b31 100644
--- a/translations/sl/README.md
+++ b/translations/sl/README.md
@@ -1,44 +1,50 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:26:59+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:09:58+00:00",
   "source_file": "README.md",
   "language_code": "sl"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub licenca](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub prispevki](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub težave](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
 [![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub opazovalci](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub vilice](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
+[![GitHub zvezdice](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Pridružite se skupnosti Azure AI Foundry 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Pridružite se skupnosti Azure AI Foundry
+
+Če se zataknete ali imate kakršna koli vprašanja o gradnji AI aplikacij, se pridružite drugim učencem in izkušenim razvijalcem v razpravah o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in znanje se deli brez omejitev.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Če imate povratne informacije o izdelku ali naletite na napake med gradnjo, obiščite:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 Sledite tem korakom, da začnete uporabljati te vire:
-1. **Forkajte repozitorij**: Kliknite [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+1. **Forkajte repozitorij**: Kliknite [![GitHub vilice](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **Klonirajte repozitorij**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Pridružite se Azure AI Foundry Discordu in spoznajte strokovnjake ter druge razvijalce**](https://discord.com/invite/ByRwuEEgH4)
-
+3. [**Pridružite se Microsoft Foundry Discordu in spoznajte strokovnjake ter druge razvijalce**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Podpora za več jezikov
 
-#### Podprto prek GitHub Action (samodejno in vedno posodobljeno)
+#### Podprto prek GitHub Action (Avtomatizirano in vedno posodobljeno)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](./README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabščina](../ar/README.md) | [Bengalščina](../bn/README.md) | [Bolgarščina](../bg/README.md) | [Burmanščina (Mjanmar)](../my/README.md) | [Kitajščina (poenostavljena)](../zh/README.md) | [Kitajščina (tradicionalna, Hong Kong)](../hk/README.md) | [Kitajščina (tradicionalna, Macao)](../mo/README.md) | [Kitajščina (tradicionalna, Tajvan)](../tw/README.md) | [Hrvaščina](../hr/README.md) | [Češčina](../cs/README.md) | [Danščina](../da/README.md) | [Nizozemščina](../nl/README.md) | [Estonščina](../et/README.md) | [Finščina](../fi/README.md) | [Francoščina](../fr/README.md) | [Nemščina](../de/README.md) | [Grščina](../el/README.md) | [Hebrejščina](../he/README.md) | [Hindijščina](../hi/README.md) | [Madžarščina](../hu/README.md) | [Indonezijščina](../id/README.md) | [Italijanščina](../it/README.md) | [Japonščina](../ja/README.md) | [Korejščina](../ko/README.md) | [Litovščina](../lt/README.md) | [Malajščina](../ms/README.md) | [Maratščina](../mr/README.md) | [Nepalščina](../ne/README.md) | [Nigerijski pidgin](../pcm/README.md) | [Norveščina](../no/README.md) | [Perzijščina (Farsi)](../fa/README.md) | [Poljščina](../pl/README.md) | [Portugalščina (Brazilija)](../br/README.md) | [Portugalščina (Portugalska)](../pt/README.md) | [Pandžabščina (Gurmukhi)](../pa/README.md) | [Romunščina](../ro/README.md) | [Ruščina](../ru/README.md) | [Srbščina (cirilica)](../sr/README.md) | [Slovaščina](../sk/README.md) | [Slovenščina](./README.md) | [Španščina](../es/README.md) | [Svahili](../sw/README.md) | [Švedščina](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamilščina](../ta/README.md) | [Tajščina](../th/README.md) | [Turščina](../tr/README.md) | [Ukrajinščina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamščina](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT za začetnike - učni načrt
+# IoT za začetnike - Kurikulum
 
-Azure Cloud Advocates pri Microsoftu z veseljem ponujajo 12-tedenski učni načrt s 24 lekcijami o osnovah IoT. Vsaka lekcija vključuje kvize pred in po lekciji, pisna navodila za dokončanje lekcije, rešitev, nalogo in še več. Naša projektno usmerjena pedagogika vam omogoča učenje skozi gradnjo, kar je dokazano učinkovit način za pridobivanje novih veščin.
+Azure Cloud Advocates pri Microsoftu z veseljem ponujajo 12-tedenski, 24-lekcijski kurikulum o osnovah IoT. Vsaka lekcija vključuje kvize pred in po lekciji, pisna navodila za dokončanje lekcije, rešitev, nalogo in še več. Naša projektno usmerjena pedagogika vam omogoča učenje skozi gradnjo, kar je dokazano učinkovit način za pridobivanje novih veščin.
 
-Projekti pokrivajo pot hrane od kmetije do mize. To vključuje kmetijstvo, logistiko, proizvodnjo, maloprodajo in potrošnike - vse priljubljena področja industrije za IoT naprave.
+Projekti pokrivajo pot hrane od kmetije do mize. To vključuje kmetijstvo, logistiko, proizvodnjo, maloprodajo in potrošnika - vse priljubljena področja industrije za IoT naprave.
 
 ![Načrt poti za tečaj, ki prikazuje 24 lekcij, ki pokrivajo uvod, kmetijstvo, transport, predelavo, maloprodajo in kuhanje](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sl.jpg)
 
@@ -46,7 +52,7 @@ Projekti pokrivajo pot hrane od kmetije do mize. To vključuje kmetijstvo, logis
 
 **Iskrena zahvala našim avtorjem [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), in našemu umetniku sketchnote [Nitya Narasimhan](https://github.com/nitya).**
 
-**Hvala tudi naši ekipi [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), ki so pregledovali in prevajali ta učni načrt - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), in [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Prav tako hvala naši ekipi [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), ki so pregledovali in prevajali ta kurikulum - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), in [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
 Spoznajte ekipo!
 
@@ -54,33 +60,33 @@ Spoznajte ekipo!
 
 **Gif avtorja** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
 
-> 🎥 Kliknite na zgornjo sliko za video o projektu!
+> 🎥 Kliknite zgornjo sliko za video o projektu!
 
-> **Učitelji**, vključili smo [nekaj predlogov](for-teachers.md) o tem, kako uporabiti ta učni načrt. Če želite ustvariti svoje lekcije, smo vključili tudi [predlogo lekcije](lesson-template/README.md).
+> **Učitelji**, vključili smo [nekaj predlogov](for-teachers.md) o tem, kako uporabiti ta kurikulum. Če želite ustvariti svoje lekcije, smo vključili tudi [predlogo lekcije](lesson-template/README.md).
 
-> **[Študenti](https://aka.ms/student-page)**, za samostojno uporabo tega učnega načrta, forkajte celoten repozitorij in samostojno dokončajte vaje, začenši s kvizom pred predavanjem, nato preberite predavanje in dokončajte preostale aktivnosti. Poskusite ustvariti projekte z razumevanjem lekcij, namesto da bi kopirali kodo rešitve; vendar je ta koda na voljo v mapah /solutions v vsaki projektno usmerjeni lekciji. Druga ideja bi bila, da oblikujete študijsko skupino s prijatelji in skupaj preučite vsebino. Za nadaljnje študije priporočamo [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Študenti](https://aka.ms/student-page)**, za samostojno uporabo tega kurikuluma, forkajte celoten repozitorij in dokončajte vaje sami, začenši s kvizom pred predavanjem, nato preberite predavanje in dokončajte preostale aktivnosti. Poskusite ustvariti projekte z razumevanjem lekcij, namesto da kopirate kodo rešitve; vendar je ta koda na voljo v mapah /solutions v vsaki projektno usmerjeni lekciji. Druga ideja bi bila, da oblikujete študijsko skupino s prijatelji in skupaj preučite vsebino. Za nadaljnje študije priporočamo [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
 Za video pregled tega tečaja si oglejte ta video:
 
 [![Promocijski video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promocijski video")
 
-> 🎥 Kliknite na zgornjo sliko za video o projektu!
+> 🎥 Kliknite zgornjo sliko za video o projektu!
 
 ## Pedagogika
 
-Pri oblikovanju tega učnega načrta smo se odločili za dve pedagoški načeli: zagotoviti, da je projektno usmerjen in da vključuje pogoste kvize. Do konca te serije bodo študenti zgradili sistem za spremljanje in zalivanje rastlin, sledilnik vozil, pametno tovarniško nastavitev za spremljanje in preverjanje hrane ter glasovno nadzorovan kuhinjski časovnik, ter se naučili osnov interneta stvari, vključno s pisanjem kode za naprave, povezovanjem v oblak, analizo telemetrije in izvajanjem AI na robu.
+Pri gradnji tega kurikuluma smo izbrali dve pedagoški načeli: zagotoviti, da je projektno usmerjen in da vključuje pogoste kvize. Do konca te serije bodo študenti zgradili sistem za spremljanje in zalivanje rastlin, sledilnik vozil, pametno tovarniško nastavitev za spremljanje in preverjanje hrane ter glasovno upravljan kuhinjski časovnik, ter se naučili osnov interneta stvari, vključno s pisanjem kode za naprave, povezovanjem v oblak, analizo telemetrije in izvajanjem AI na robu.
 
-Z zagotavljanjem, da se vsebina ujema s projekti, je proces za študente bolj privlačen, koncepti pa se bolje ohranijo.
+Z zagotavljanjem, da se vsebina ujema s projekti, je proces bolj privlačen za študente, koncepti pa se bolje ohranijo.
 
-Poleg tega kviz z nizkim tveganjem pred predavanjem usmeri pozornost študenta na učenje teme, medtem ko drugi kviz po predavanju zagotavlja nadaljnjo ohranitev. Ta učni načrt je bil zasnovan tako, da je prilagodljiv in zabaven ter ga je mogoče vzeti v celoti ali delno. Projekti se začnejo majhni in postajajo vse bolj zapleteni do konca 12-tedenskega cikla.
+Poleg tega nizko-stresni kviz pred predavanjem usmeri pozornost študenta na učenje teme, medtem ko drugi kviz po predavanju zagotavlja nadaljnjo ohranitev. Ta kurikulum je bil zasnovan tako, da je prilagodljiv in zabaven ter ga je mogoče vzeti v celoti ali delno. Projekti se začnejo majhni in postajajo vse bolj kompleksni do konca 12-tedenskega cikla.
 
-Vsak projekt temelji na resnični strojni opremi, ki je na voljo študentom in ljubiteljem. Vsak projekt se osredotoča na specifično področje projekta, zagotavlja ustrezno osnovno znanje. Da bi bil uspešen razvijalec, pomaga razumeti področje, v katerem rešujete težave, zagotavljanje tega osnovnega znanja pa omogoča študentom razmišljanje o svojih IoT rešitvah in učenju v kontekstu vrste resničnih težav, ki bi jih lahko morali rešiti kot IoT razvijalec. Študenti se naučijo 'zakaj' rešitev, ki jih gradijo, in pridobijo spoštovanje do končnega uporabnika.
+Vsak projekt temelji na resnični strojni opremi, ki je na voljo študentom in ljubiteljem. Vsak projekt se osredotoča na specifično področje projekta, zagotavlja ustrezno osnovno znanje. Da bi bil uspešen razvijalec, pomaga razumeti področje, v katerem rešujete težave, zagotavljanje tega osnovnega znanja pa omogoča študentom, da razmišljajo o svojih IoT rešitvah in učenju v kontekstu vrste resničnih težav, ki bi jih lahko morali rešiti kot IoT razvijalci. Študenti se naučijo 'zakaj' rešitev, ki jih gradijo, in pridobijo spoštovanje do končnega uporabnika.
 
 ## Strojna oprema
 
-Za projekte imamo dve izbiri IoT strojne opreme, odvisno od osebnih preferenc, znanja ali preferenc programskega jezika, učnih ciljev in razpoložljivosti. Zagotovili smo tudi različico 'virtualne strojne opreme' za tiste, ki nimajo dostopa do strojne opreme ali želijo izvedeti več, preden se odločijo za nakup. Več lahko preberete in najdete 'nakupovalni seznam' na [strani o strojni opremi](./hardware.md), vključno s povezavami za nakup celotnih kompletov od naših prijateljev pri Seeed Studio.
+Za projekte imamo dve izbiri IoT strojne opreme, odvisno od osebnih preferenc, znanja ali preferenc programskih jezikov, učnih ciljev in razpoložljivosti. Prav tako smo zagotovili različico 'virtualne strojne opreme' za tiste, ki nimajo dostopa do strojne opreme ali želijo izvedeti več, preden se odločijo za nakup. Več lahko preberete in najdete 'nakupovalni seznam' na [strani o strojni opremi](./hardware.md), vključno s povezavami za nakup celotnih kompletov od naših prijateljev pri Seeed Studio.
 
-> 💁 Poiščite naš [Kodeks ravnanja](CODE_OF_CONDUCT.md), [Prispevanje](CONTRIBUTING.md), in [Smernice za prevajanje](TRANSLATIONS.md). Veseli bomo vaših konstruktivnih povratnih informacij!
+> 💁 Najdite naš [Kodeks ravnanja](CODE_OF_CONDUCT.md), [Prispevanje](CONTRIBUTING.md), in [Smernice za prevajanje](TRANSLATIONS.md). Veseli bomo vaših konstruktivnih povratnih informacij!
 
 ## Vsaka lekcija vključuje:
 
@@ -94,41 +100,40 @@ Za projekte imamo dve izbiri IoT strojne opreme, odvisno od osebnih preferenc, z
 - dopolnilno branje
 - naloga
 - [kviz po lekciji](https://ff-quizzes.netlify.app/en/)
-
-> **Opomba o kvizih**: Vsi kvizi so vsebovani v mapi quiz-app, skupaj 48 kvizov s po tremi vprašanji. Povezani so znotraj lekcij, vendar se aplikacija za kvize lahko zažene lokalno ali namesti na Azure; sledite navodilom v mapi `quiz-app`. Postopoma se lokalizirajo.
+> **Opomba o kvizih**: Vsi kvizi so shranjeni v mapi quiz-app, skupno 48 kvizov, vsak s tremi vprašanji. Povezani so znotraj lekcij, vendar se aplikacija za kvize lahko zažene lokalno ali pa se namesti na Azure; sledite navodilom v mapi `quiz-app`. Postopoma se lokalizirajo.
 
 ## Lekcije
 
-|       |              Ime projekta              |                       Naučeni koncepti                       | Cilji učenja                                                                                                                                                 |                                                        Povezana lekcija                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Začetek](./1-getting-started/README.md) |                     Uvod v IoT                     | Naučite se osnovnih načel IoT in osnovnih gradnikov IoT rešitev, kot so senzorji in storitve v oblaku, medtem ko nastavljate svojo prvo IoT napravo |                      [Uvod v IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Začetek](./1-getting-started/README.md) |                   Globlji vpogled v IoT                    | Naučite se več o komponentah IoT sistema, kot tudi o mikrokrmilnikih in enokartičnih računalnikih                                                            |                        [Globlji vpogled v IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Začetek](./1-getting-started/README.md) | Interakcija s fizičnim svetom s senzorji in aktuatorji | Naučite se o senzorjih za zbiranje podatkov iz fizičnega sveta in aktuatorjih za pošiljanje povratnih informacij, medtem ko izdelujete nočno lučko                                           | [Interakcija s fizičnim svetom s senzorji in aktuatorji](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Začetek](./1-getting-started/README.md) |             Povežite svojo napravo z internetom             | Naučite se, kako povezati IoT napravo z internetom za pošiljanje in prejemanje sporočil, tako da povežete svojo nočno lučko z MQTT strežnikom                               |               [Povežite svojo napravo z internetom](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Kmetijstvo](./2-farm/README.md)            |                    Napovedovanje rasti rastlin                     | Naučite se, kako napovedati rast rastlin z uporabo podatkov o temperaturi, ki jih zajame IoT naprava                                                                                  |                          [Napovedovanje rasti rastlin](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Kmetijstvo](./2-farm/README.md)            |                    Zaznavanje vlage v tleh                     | Naučite se, kako zaznati vlago v tleh in kalibrirati senzor za vlago v tleh                                                                                              |                          [Zaznavanje vlage v tleh](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Kmetijstvo](./2-farm/README.md)            |                  Samodejno zalivanje rastlin                   | Naučite se, kako avtomatizirati in časovno določiti zalivanje z uporabo releja in MQTT                                                                                                      |                      [Samodejno zalivanje rastlin](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Kmetijstvo](./2-farm/README.md)            |               Migracija vaše rastline v oblak               | Naučite se o oblaku in storitvah IoT, ki gostujejo v oblaku, ter kako povezati svojo rastlino z enim od teh namesto z javnim MQTT strežnikom                                   |               [Migracija vaše rastline v oblak](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Kmetijstvo](./2-farm/README.md)            |         Migracija logike vaše aplikacije v oblak         | Naučite se, kako lahko napišete logiko aplikacije v oblaku, ki se odziva na IoT sporočila                                                                          |         [Migracija logike vaše aplikacije v oblak](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Kmetijstvo](./2-farm/README.md)            |                   Zavarujte svojo rastlino                    | Naučite se o varnosti pri IoT in kako zavarovati svojo rastlino s ključi in certifikati                                                                          |                        [Zavarujte svojo rastlino](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Sledenje lokaciji                      | Naučite se o GPS sledenju lokacije za IoT naprave                                                                                                                   |                           [Sledenje lokaciji](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Shranjevanje podatkov o lokaciji                     | Naučite se, kako shraniti IoT podatke za kasnejšo vizualizacijo ali analizo                                                                                                      |                         [Shranjevanje podatkov o lokaciji](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizacija podatkov o lokaciji                   | Naučite se o vizualizaciji podatkov o lokaciji na zemljevidu in kako zemljevidi predstavljajo resnični 3D svet v 2 dimenzijah                                                            |                     [Vizualizacija podatkov o lokaciji](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geografske ograje                          | Naučite se o geografskih ograjah in kako jih lahko uporabite za opozarjanje, ko so vozila v dobavni verigi blizu svojega cilja                                           |                                   [Geografske ograje](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Proizvodnja](./4-manufacturing/README.md)   |               Usposabljanje detektorja kakovosti sadja                | Naučite se, kako usposobiti klasifikator slik v oblaku za zaznavanje kakovosti sadja                                                                                       |                 [Usposabljanje detektorja kakovosti sadja](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Proizvodnja](./4-manufacturing/README.md)   |           Preverjanje kakovosti sadja z IoT napravo            | Naučite se, kako uporabiti detektor kakovosti sadja z IoT napravo                                                                                                    |           [Preverjanje kakovosti sadja z IoT napravo](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Proizvodnja](./4-manufacturing/README.md)   |             Zagon detektorja sadja na robu             | Naučite se, kako zagnati detektor sadja na IoT napravi na robu                                                                                                |             [Zagon detektorja sadja na robu](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Proizvodnja](./4-manufacturing/README.md)   |        Sprožitev zaznavanja kakovosti sadja s senzorjem        | Naučite se, kako sprožiti zaznavanje kakovosti sadja s senzorjem                                                                                                        |        [Sprožitev zaznavanja kakovosti sadja s senzorjem](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Maloprodaja](./5-retail/README.md)          |                   Usposabljanje detektorja zalog                    | Naučite se, kako uporabiti zaznavanje objektov za usposabljanje detektorja zalog za štetje zalog v trgovini                                                                                |                        [Usposabljanje detektorja zalog](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Maloprodaja](./5-retail/README.md)          |               Preverjanje zalog z IoT napravo                | Naučite se, kako preveriti zaloge z IoT napravo z uporabo modela za zaznavanje objektov                                                                                         |                     [Preverjanje zalog z IoT napravo](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Potrošnik](./6-consumer/README.md)        |             Prepoznavanje govora z IoT napravo             | Naučite se, kako prepoznati govor z IoT napravo za izdelavo pametnega časovnika                                                                                             |                  [Prepoznavanje govora z IoT napravo](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Potrošnik](./6-consumer/README.md)        |                     Razumevanje jezika                     | Naučite se, kako razumeti stavke, izgovorjene IoT napravi                                                                                                           |                        [Razumevanje jezika](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Potrošnik](./6-consumer/README.md)        |           Nastavitev časovnika in podajanje govorne povratne informacije           | Naučite se, kako nastaviti časovnik na IoT napravi in podati govorno povratno informacijo o tem, kdaj je časovnik nastavljen in kdaj se konča                                                    |                 [Nastavitev časovnika in podajanje govorne povratne informacije](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Potrošnik](./6-consumer/README.md)        |                 Podpora več jezikov                  | Naučite se, kako podpreti več jezikov, tako pri govorjenju kot pri odgovorih vašega pametnega časovnika                                                               |                   [Podpora več jezikov](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Ime projekta              |                       Poučeni koncepti                       | Cilji učenja                                                                                                                                                        |                                                        Povezana lekcija                                                        |
+| :---: | :------------------------------------: | :----------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Začetek](./1-getting-started/README.md) |                     Uvod v IoT                     | Spoznajte osnovna načela IoT in osnovne gradnike IoT rešitev, kot so senzorji in storitve v oblaku, medtem ko nastavljate svojo prvo IoT napravo                     |                      [Uvod v IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Začetek](./1-getting-started/README.md) |                   Globlji vpogled v IoT                    | Spoznajte več o komponentah IoT sistema, kot tudi o mikrokrmilnikih in enokartičnih računalnikih                                                                    |                        [Globlji vpogled v IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Začetek](./1-getting-started/README.md) | Interakcija s fizičnim svetom s senzorji in aktuatorji | Spoznajte senzorje za zbiranje podatkov iz fizičnega sveta in aktuatorje za pošiljanje povratnih informacij, medtem ko izdelujete nočno lučko                       | [Interakcija s fizičnim svetom s senzorji in aktuatorji](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Začetek](./1-getting-started/README.md) |             Povežite svojo napravo z internetom             | Spoznajte, kako povezati IoT napravo z internetom za pošiljanje in prejemanje sporočil, tako da povežete svojo nočno lučko z MQTT strežnikom                        |               [Povežite svojo napravo z internetom](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Kmetija](./2-farm/README.md)            |                    Napoved rasti rastlin                     | Spoznajte, kako napovedati rast rastlin z uporabo podatkov o temperaturi, ki jih zajame IoT naprava                                                                 |                          [Napoved rasti rastlin](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Kmetija](./2-farm/README.md)            |                    Zaznavanje vlage v tleh                     | Spoznajte, kako zaznati vlago v tleh in kalibrirati senzor za vlago v tleh                                                                                          |                          [Zaznavanje vlage v tleh](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Kmetija](./2-farm/README.md)            |                  Samodejno zalivanje rastlin                   | Spoznajte, kako avtomatizirati in časovno določiti zalivanje z uporabo releja in MQTT                                                                               |                      [Samodejno zalivanje rastlin](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Kmetija](./2-farm/README.md)            |               Migrirajte svojo rastlino v oblak               | Spoznajte oblak in storitve IoT, ki gostujejo v oblaku, ter kako povezati svojo rastlino z enim od teh namesto z javnim MQTT strežnikom                            |               [Migrirajte svojo rastlino v oblak](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Kmetija](./2-farm/README.md)            |         Migrirajte logiko svoje aplikacije v oblak         | Spoznajte, kako lahko napišete logiko aplikacije v oblaku, ki se odziva na IoT sporočila                                                                            |         [Migrirajte logiko svoje aplikacije v oblak](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Kmetija](./2-farm/README.md)            |                   Zavarujte svojo rastlino                    | Spoznajte varnost pri IoT in kako zavarovati svojo rastlino s ključi in certifikati                                                                                 |                        [Zavarujte svojo rastlino](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Sledenje lokaciji                      | Spoznajte GPS sledenje lokaciji za IoT naprave                                                                                                                      |                           [Sledenje lokaciji](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Shranjevanje podatkov o lokaciji                     | Spoznajte, kako shraniti IoT podatke za kasnejšo vizualizacijo ali analizo                                                                                          |                         [Shranjevanje podatkov o lokaciji](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Vizualizacija podatkov o lokaciji                   | Spoznajte vizualizacijo podatkov o lokaciji na zemljevidu in kako zemljevidi predstavljajo realni 3D svet v 2 dimenzijah                                            |                     [Vizualizacija podatkov o lokaciji](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geografske ograje                          | Spoznajte geografske ograje in kako jih lahko uporabite za opozarjanje, ko so vozila v dobavni verigi blizu svojega cilja                                           |                                   [Geografske ograje](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Proizvodnja](./4-manufacturing/README.md)   |               Usposabljanje detektorja kakovosti sadja                | Spoznajte usposabljanje klasifikatorja slik v oblaku za zaznavanje kakovosti sadja                                                                                  |                 [Usposabljanje detektorja kakovosti sadja](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Proizvodnja](./4-manufacturing/README.md)   |           Preverjanje kakovosti sadja z IoT napravo            | Spoznajte uporabo detektorja kakovosti sadja z IoT napravo                                                                                                          |           [Preverjanje kakovosti sadja z IoT napravo](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Proizvodnja](./4-manufacturing/README.md)   |             Zagon detektorja sadja na robu             | Spoznajte zagon detektorja sadja na IoT napravi na robu                                                                                                             |             [Zagon detektorja sadja na robu](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Proizvodnja](./4-manufacturing/README.md)   |        Sprožitev zaznavanja kakovosti sadja s senzorjem        | Spoznajte sprožitev zaznavanja kakovosti sadja s senzorjem                                                                                                          |        [Sprožitev zaznavanja kakovosti sadja s senzorjem](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Trgovina](./5-retail/README.md)          |                   Usposabljanje detektorja zalog                    | Spoznajte uporabo zaznavanja objektov za usposabljanje detektorja zalog za štetje zalog v trgovini                                                                  |                        [Usposabljanje detektorja zalog](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Trgovina](./5-retail/README.md)          |               Preverjanje zalog z IoT napravo                | Spoznajte, kako preveriti zaloge z IoT napravo z uporabo modela za zaznavanje objektov                                                                              |                     [Preverjanje zalog z IoT napravo](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Potrošnik](./6-consumer/README.md)        |             Prepoznavanje govora z IoT napravo             | Spoznajte, kako prepoznati govor z IoT napravo za izdelavo pametnega časovnika                                                                                      |                  [Prepoznavanje govora z IoT napravo](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Potrošnik](./6-consumer/README.md)        |                     Razumevanje jezika                     | Spoznajte, kako razumeti stavke, izgovorjene IoT napravi                                                                                                           |                        [Razumevanje jezika](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Potrošnik](./6-consumer/README.md)        |           Nastavitev časovnika in podajanje govorne povratne informacije           | Spoznajte, kako nastaviti časovnik na IoT napravi in podati govorno povratno informacijo o tem, kdaj je časovnik nastavljen in kdaj se konča                        |                 [Nastavitev časovnika in podajanje govorne povratne informacije](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Potrošnik](./6-consumer/README.md)        |                 Podpora več jezikom                  | Spoznajte, kako podpreti več jezikov, tako pri govorjenju napravi kot pri odgovorih vašega pametnega časovnika                                                     |                   [Podpora več jezikom](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Dostop brez povezave
 
-To dokumentacijo lahko zaženete brez povezave z uporabo [Docsify](https://docsify.js.org/#/). Forkajte to repozitorij, [namestite Docsify](https://docsify.js.org/#/quickstart) na svojo lokalno napravo in nato v korenski mapi tega repozitorija vnesite `docsify serve`. Spletna stran bo na voljo na portu 3000 na vašem lokalnem strežniku: `localhost:3000`.
+To dokumentacijo lahko zaženete brez povezave z uporabo [Docsify](https://docsify.js.org/#/). Forkajte to repozitorij, [namestite Docsify](https://docsify.js.org/#/quickstart) na svojo lokalno napravo in nato v korenski mapi tega repozitorija vnesite `docsify serve`. Spletna stran bo na voljo na portu 3000 na vašem localhostu: `localhost:3000`.
 
 ## Kviz
 
@@ -136,7 +141,7 @@ Hvala skupnosti za gostovanje interaktivnega kviza, ki preizkuša vaše znanje o
 
 ### PDF
 
-Če potrebujete dostop brez povezave, lahko ustvarite PDF te vsebine. Za to poskrbite, da imate [nameščen npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) in v korenski mapi tega repozitorija zaženite naslednje ukaze:
+Če potrebujete dostop brez povezave, lahko ustvarite PDF te vsebine. Za to se prepričajte, da imate [nameščen npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) in v korenski mapi tega repozitorija zaženite naslednje ukaze:
 
 ```sh
 npm i
@@ -148,48 +153,50 @@ npm run convert
 Za nekatere lekcije so na voljo predstavitve v mapi [slides](../../slides).
 
 
-## Drugi učni načrti
+## Druge učne vsebine
 
-Naša ekipa pripravlja tudi druge učne načrte! Oglejte si:
+Naša ekipa ustvarja tudi druge učne vsebine! Oglejte si:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
-[![AZD za začetnike](https://img.shields.io/badge/AZD%20za%20začetnike-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI za začetnike](https://img.shields.io/badge/Edge%20AI%20za%20začetnike-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP za začetnike](https://img.shields.io/badge/MCP%20za%20začetnike-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI agenti za začetnike](https://img.shields.io/badge/AI%20agenti%20za%20začetnike-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD za začetnike](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI za začetnike](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP za začetnike](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI agenti za začetnike](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Serija Generativna umetna inteligenca
-[![Generativna umetna inteligenca za začetnike](https://img.shields.io/badge/Generativna%20umetna%20inteligenca%20za%20začetnike-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generativna umetna inteligenca (.NET)](https://img.shields.io/badge/Generativna%20umetna%20inteligenca%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generativna umetna inteligenca (Java)](https://img.shields.io/badge/Generativna%20umetna%20inteligenca%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generativna umetna inteligenca (JavaScript)](https://img.shields.io/badge/Generativna%20umetna%20inteligenca%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### Serija Generativna AI
+[![Generativna AI za začetnike](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generativna AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generativna AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generativna umetna inteligenca (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Osnovno učenje
-[![ML za začetnike](https://img.shields.io/badge/ML%20za%20začetnike-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Podatkovna znanost za začetnike](https://img.shields.io/badge/Podatkovna%20znanost%20za%20začetnike-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI za začetnike](https://img.shields.io/badge/AI%20za%20začetnike-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Kibernetska varnost za začetnike](https://img.shields.io/badge/Kibernetska%20varnost%20za%20začetnike-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Razvoj spletnih strani za začetnike](https://img.shields.io/badge/Razvoj%20spletnih%20strani%20za%20začetnike-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT za začetnike](https://img.shields.io/badge/IoT%20za%20začetnike-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR razvoj za začetnike](https://img.shields.io/badge/XR%20razvoj%20za%20začetnike-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML za začetnike](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Podatkovna znanost za začetnike](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![Umetna inteligenca za začetnike](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Kibernetska varnost za začetnike](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Razvoj spletnih strani za začetnike](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT za začetnike](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR razvoj za začetnike](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Serija Copilot  
-[![Copilot za AI programiranje v paru](https://img.shields.io/badge/Copilot%20za%20AI%20programiranje%20v%20paru-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot za C#/.NET](https://img.shields.io/badge/Copilot%20za%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot pustolovščina](https://img.shields.io/badge/Copilot%20pustolovščina-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Serija Copilot
+[![Copilot za AI parno programiranje](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot za C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot pustolovščina](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Priznanja za slike  
+## Zasluge za slike
 
-Vsa priznanja za slike, uporabljene v tem učnem načrtu, kjer je to potrebno, najdete v [Priznanja](./attributions.md).  
+Vse zasluge za slike, uporabljene v tem učnem načrtu, kjer je to potrebno, najdete v [Zasluge](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Omejitev odgovornosti**:  
-Ta dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas prosimo, da upoštevate, da lahko avtomatski prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem maternem jeziku naj se šteje za avtoritativni vir. Za ključne informacije priporočamo profesionalni človeški prevod. Ne prevzemamo odgovornosti za morebitne nesporazume ali napačne razlage, ki izhajajo iz uporabe tega prevoda.
\ No newline at end of file
+Ta dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas prosimo, da upoštevate, da lahko avtomatizirani prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem izvirnem jeziku je treba obravnavati kot avtoritativni vir. Za ključne informacije priporočamo profesionalni človeški prevod. Ne prevzemamo odgovornosti za morebitne nesporazume ali napačne razlage, ki izhajajo iz uporabe tega prevoda.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/sr/README.md b/translations/sr/README.md
index 8d7462327..a00683733 100644
--- a/translations/sr/README.md
+++ b/translations/sr/README.md
@@ -1,49 +1,54 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
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-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:25:21+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:07:16+00:00",
   "source_file": "README.md",
   "language_code": "sr"
 }
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-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
+[![GitHub лиценца](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub доприносиоци](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub проблеми](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub захтеви за промене](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Добродошли](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
+[![GitHub пратиоци](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub форкови](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub звездице](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### Придружите се Azure AI Foundry заједници  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
 
-Следите ове кораке да бисте започели коришћење ових ресурса:  
-1. **Fork репозиторијума**: Кликните [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+Ако запнете или имате питања о изградњи AI апликација, придружите се другим ученицима и искусним програмерима у дискусијама о MCP. Ово је подржавајућа заједница где су питања добродошла, а знање се слободно дели.  
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
+
+Ако имате повратне информације о производу или наиђете на грешке током изградње, посетите:  
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
+
+Следите ове кораке да бисте почели да користите ове ресурсе:  
+1. **Форкујте репозиторијум**: Кликните [![GitHub форкови](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
 2. **Клонирајте репозиторијум**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Придружите се Azure AI Foundry Discord-у и упознајте стручњаке и друге програмере**](https://discord.com/invite/ByRwuEEgH4)  
+3. [**Придружите се Microsoft Foundry Discord-у и упознајте стручњаке и друге програмере**](https://discord.com/invite/ByRwuEEgH4)  
 
 ### 🌐 Подршка за више језика  
 
-#### Подржано преко GitHub Action-а (аутоматски и увек ажурирано)  
+#### Подржано преко GitHub Action-а (Аутоматизовано и увек ажурно)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[Арапски](../ar/README.md) | [Бенгалски](../bn/README.md) | [Бугарски](../bg/README.md) | [Бирмански (Мјанмар)](../my/README.md) | [Кинески (поједностављени)](../zh/README.md) | [Кинески (традиционални, Хонг Конг)](../hk/README.md) | [Кинески (традиционални, Макао)](../mo/README.md) | [Кинески (традиционални, Тајван)](../tw/README.md) | [Хрватски](../hr/README.md) | [Чешки](../cs/README.md) | [Дански](../da/README.md) | [Холандски](../nl/README.md) | [Естонски](../et/README.md) | [Фински](../fi/README.md) | [Француски](../fr/README.md) | [Немачки](../de/README.md) | [Грчки](../el/README.md) | [Хебрејски](../he/README.md) | [Хинди](../hi/README.md) | [Мађарски](../hu/README.md) | [Индонежански](../id/README.md) | [Италијански](../it/README.md) | [Јапански](../ja/README.md) | [Корејски](../ko/README.md) | [Литвански](../lt/README.md) | [Малајски](../ms/README.md) | [Марати](../mr/README.md) | [Непалски](../ne/README.md) | [Норвешки](../no/README.md) | [Персијски (Фарси)](../fa/README.md) | [Пољски](../pl/README.md) | [Португалски (Бразил)](../br/README.md) | [Португалски (Португал)](../pt/README.md) | [Пенџабски (Гурмуки)](../pa/README.md) | [Румунски](../ro/README.md) | [Руски](../ru/README.md) | [Српски (Ћирилица)](./README.md) | [Словачки](../sk/README.md) | [Словеначки](../sl/README.md) | [Шпански](../es/README.md) | [Свахили](../sw/README.md) | [Шведски](../sv/README.md) | [Тагалог (Филипински)](../tl/README.md) | [Тамилски](../ta/README.md) | [Тајландски](../th/README.md) | [Турски](../tr/README.md) | [Украјински](../uk/README.md) | [Урду](../ur/README.md) | [Вијетнамски](../vi/README.md)  
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](./README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
 
 # IoT за почетнике - Курикулум  
 
-Azure Cloud Advocates у Microsoft-у са задовољством нуде 12-недељни, 24-лекцијски курикулум о основама IoT-а. Свака лекција укључује квизове пре и после лекције, писана упутства за завршетак лекције, решење, задатак и још много тога. Наш приступ заснован на пројектима омогућава вам да учите кроз изградњу, што је доказан начин да нове вештине остану трајно усвојене.  
+Azure Cloud Advocates у Microsoft-у са задовољством нуде 12-недељни, 24-лекцијски курикулум о основама IoT-а. Свака лекција укључује квизове пре и после лекције, писана упутства за завршетак лекције, решење, задатак и још много тога. Наш приступ заснован на пројектима омогућава вам да учите кроз изградњу, што је доказан начин да нове вештине остану у памћењу.  
 
-Пројекти покривају пут хране од фарме до стола. Ово укључује пољопривреду, логистику, производњу, малопродају и потрошаче - све популарне индустријске области за IoT уређаје.  
+Пројекти покривају путовање хране од фарме до стола. Ово укључује пољопривреду, логистику, производњу, малопродају и потрошаче - све популарне индустријске области за IoT уређаје.  
 
-![Мапа курса која приказује 24 лекције које покривају увод, пољопривреду, транспорт, прераду, малопродају и кување](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sr.jpg)  
+![Мапа пута за курс са 24 лекције које покривају увод, пољопривреду, транспорт, обраду, малопродају и кување](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sr.jpg)  
 
 > Скетч од [Nitya Narasimhan](https://github.com/nitya). Кликните на слику за већу верзију.  
 
-**Велико хвала нашим ауторима [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), и нашем уметнику скетча [Nitya Narasimhan](https://github.com/nitya).**  
+**Срдачна захвалност нашим ауторима [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), и нашем уметнику скетчова [Nitya Narasimhan](https://github.com/nitya).**  
 
 **Такође хвала нашем тиму [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) који су прегледали и превели овај курикулум - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), и [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
@@ -55,31 +60,31 @@ Azure Cloud Advocates у Microsoft-у са задовољством нуде 12-
 
 > 🎥 Кликните на слику изнад за видео о пројекту!  
 
-> **Наставници**, ми смо [укључили неке предлоге](for-teachers.md) о томе како да користите овај курикулум. Ако желите да креирате сопствене лекције, укључили смо и [шаблон за лекције](lesson-template/README.md).  
+> **Наставници**, [укључили смо неке предлоге](for-teachers.md) о томе како да користите овај курикулум. Ако желите да креирате сопствене лекције, укључили смо и [шаблон лекције](lesson-template/README.md).  
 
-> **[Студенти](https://aka.ms/student-page)**, да бисте користили овај курикулум самостално, направите fork целог репозиторијума и сами завршите вежбе, почевши од квиза пре предавања, затим читајући предавање и завршавајући остале активности. Покушајте да креирате пројекте разумевањем лекција уместо копирања кода решења; међутим, тај код је доступан у /solutions фолдерима у свакој лекцији заснованој на пројекту. Друга идеја би била да формирате студијску групу са пријатељима и заједно прођете кроз садржај. За даље учење, препоручујемо [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
+> **[Студенти](https://aka.ms/student-page)**, да бисте користили овај курикулум самостално, форкујте цео репозиторијум и завршите вежбе сами, почевши са квизом пре предавања, затим читањем предавања и завршавањем осталих активности. Покушајте да креирате пројекте разумевањем лекција уместо копирања решења кода; међутим, тај код је доступан у /solutions фолдерима у свакој лекцији заснованој на пројектима. Друга идеја би била да формирате студијску групу са пријатељима и заједно прођете кроз садржај. За даље учење, препоручујемо [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
 За видео преглед овог курса, погледајте овај видео:  
 
-[![Промо видео](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
+[![Промо видео](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Промо видео")  
 
 > 🎥 Кликните на слику изнад за видео о пројекту!  
 
 ## Педагошки приступ  
 
-Изабрали смо два педагошка принципа приликом креирања овог курикулума: осигурање да је заснован на пројектима и да укључује честе квизове. До краја ове серије, студенти ће изградити систем за праћење и заливање биљака, тракер за возила, паметну фабрику за праћење и проверу хране, и тајмер за кување контролисан гласом, и научиће основе Интернета ствари, укључујући како да пишу код за уређаје, повежу се са облаком, анализирају телеметрију и покрећу AI на ивици.  
+Изабрали смо два педагошка принципа приликом изградње овог курикулума: осигурање да је заснован на пројектима и да укључује честе квизове. До краја ове серије, студенти ће изградити систем за праћење и заливање биљака, трагач за возила, паметну фабрику за праћење и проверу хране, и тајмер за кување који се контролише гласом, и научиће основе Интернета ствари, укључујући како да пишу код за уређаје, повежу се са облаком, анализирају телеметрију и покрећу AI на ивици.  
 
-Осигуравањем да садржај одговара пројектима, процес постаје занимљивији за студенте, а задржавање концепата ће бити побољшано.  
+Осигуравањем да је садржај усклађен са пројектима, процес постаје занимљивији за студенте, а задржавање концепата ће бити побољшано.  
 
-Поред тога, квиз са ниским ризиком пре часа поставља намеру студента ка учењу теме, док други квиз након часа осигурава даље задржавање. Овај курикулум је дизајниран да буде флексибилан и забаван и може се узети у целини или делимично. Пројекти почињу малим и постају све сложенији до краја 12-недељног циклуса.  
+Поред тога, квиз са ниским улозима пре часа поставља намеру студента ка учењу теме, док други квиз након часа осигурава даље задржавање. Овај курикулум је дизајниран да буде флексибилан и забаван и може се узети у целини или делимично. Пројекти почињу малим и постају све сложенији до краја 12-недељног циклуса.  
 
-Сваки пројекат је заснован на стварном хардверу доступном студентима и хобијистима. Сваки пројекат истражује специфичну област пројекта, пружајући релевантно основно знање. Да бисте били успешан програмер, помаже да разумете област у којој решавате проблеме, пружање овог основног знања омогућава студентима да размишљају о својим IoT решењима и учењима у контексту врсте стварног проблема који би могли бити позвани да реше као IoT програмери. Студенти уче 'зашто' решења која граде и добијају уважавање крајњег корисника.  
+Сваки пројекат је заснован на стварном хардверу доступном студентима и хобистима. Сваки пројекат истражује специфичну домену пројекта, пружајући релевантно основно знање. Да бисте били успешан програмер, помаже да разумете домен у којем решавате проблеме, пружање овог основног знања омогућава студентима да размишљају о својим IoT решењима и учењима у контексту врсте стварног проблема који би могли бити позвани да реше као IoT програмери. Студенти уче 'зашто' решења која граде и добијају захвалност за крајњег корисника.  
 
 ## Хардвер  
 
-Имамо два избора IoT хардвера за коришћење у пројектима у зависности од личних преференција, знања или преференција програмског језика, циљева учења и доступности. Такође смо обезбедили верзију 'виртуелног хардвера' за оне који немају приступ хардверу или желе да науче више пре него што се одлуче за куповину. Можете прочитати више и пронаћи 'листу за куповину' на [страници о хардверу](./hardware.md), укључујући линкове за куповину комплетних сетова од наших пријатеља у Seeed Studio.  
+Имамо два избора IoT хардвера за коришћење у пројектима у зависности од личних преференција, знања програмских језика или циљева учења и доступности. Такође смо обезбедили верзију 'виртуелног хардвера' за оне који немају приступ хардверу или желе да науче више пре него што се одлуче за куповину. Можете прочитати више и пронаћи 'листа за куповину' на [страници о хардверу](./hardware.md), укључујући линкове за куповину комплетних сетова од наших пријатеља у Seeed Studio.  
 
-> 💁 Пронађите наш [Кодекс понашања](CODE_OF_CONDUCT.md), [Упутства за допринос](CONTRIBUTING.md), и [Смернице за превођење](TRANSLATIONS.md). Добродошли сте да нам дате конструктивне повратне информације!  
+> 💁 Пронађите наш [Кодекс понашања](CODE_OF_CONDUCT.md), [Упутства за допринос](CONTRIBUTING.md), и [Упутства за превођење](TRANSLATIONS.md). Добродошле су ваше конструктивне повратне информације!  
 
 ## Свака лекција укључује:  
 
@@ -87,55 +92,54 @@ Azure Cloud Advocates у Microsoft-у са задовољством нуде 12-
 - опциони допунски видео  
 - квиз за загревање пре лекције  
 - писану лекцију  
-- за лекције засноване на пројектима, водиче корак по корак о томе како изградити пројекат  
+- за лекције засноване на пројектима, корак-по-корак водиче како изградити пројекат  
 - провере знања  
 - изазов  
 - допунско читање  
 - задатак  
 - [квиз након лекције](https://ff-quizzes.netlify.app/en/)  
+> **Напомена о квизовима**: Сви квизови се налазе у фасцикли quiz-app, укупно 48 квизова са по три питања. Они су повезани из лекција, али апликација за квиз може се покренути локално или поставити на Azure; пратите упутства у фасцикли `quiz-app`. Постепено се локализују.
 
-> **Напомена о квизовима**: Сви квизови се налазе у фолдеру quiz-app, за укупно 48 квизова од по три питања. Они су повезани из лекција, али апликација за квиз може се покренути локално или поставити на Azure; следите упутства у фолдеру `quiz-app`. Они се постепено локализују.  
+## Лекције
 
-## Лекције  
-
-|       |              Назив пројекта              |                       Концепти који се предају                       | Циљеви учења                                                                                                                                                 |                                                        Повезана лекција                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
+|       |              Назив пројекта              |                       Концепти који се предају                       | Циљеви учења                                                                                                                                                 |                                                        Повезана лекција                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Почетак](./1-getting-started/README.md) |                     Увод у IoT                     | Научите основне принципе IoT и основне грађевинске блокове IoT решења као што су сензори и услуге у облаку док постављате свој први IoT уређај |                      [Увод у IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Почетак](./1-getting-started/README.md) |                   Дубље истраживање IoT-а                    | Сазнајте више о компонентама IoT система, као и о микроконтролерима и рачунарима са једном плочом                                                            |                        [Дубље истраживање IoT-а](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Почетак](./1-getting-started/README.md) | Интеракција са физичким светом помоћу сензора и актуатора | Сазнајте више о сензорима за прикупљање података из физичког света и актуаторима за слање повратних информација док правите ноћно светло                                           | [Интеракција са физичким светом помоћу сензора и актуатора](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Почетак](./1-getting-started/README.md) |             Повежите свој уређај на интернет             | Сазнајте како да повежете IoT уређај на интернет ради слања и примања порука тако што ћете повезати своје ноћно светло на MQTT брокер                               |               [Повежите свој уређај на интернет](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Фарма](./2-farm/README.md)            |                    Предвидите раст биљака                     | Сазнајте како да предвидите раст биљака користећи податке о температури које прикупља IoT уређај                                                                                  |                          [Предвидите раст биљака](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Фарма](./2-farm/README.md)            |                    Откријте влагу у земљишту                     | Сазнајте како да откријете влагу у земљишту и калибрујете сензор за влагу                                                                                              |                          [Откријте влагу у земљишту](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Фарма](./2-farm/README.md)            |                  Аутоматско заливање биљака                   | Сазнајте како да аутоматизујете и временски одредите заливање користећи релеј и MQTT                                                                                                      |                      [Аутоматско заливање биљака](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Фарма](./2-farm/README.md)            |               Пренесите своју биљку у облак               | Сазнајте више о облаку и IoT услугама хостованим у облаку и како да повежете своју биљку са једном од њих уместо са јавним MQTT брокером                                   |               [Пренесите своју биљку у облак](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Фарма](./2-farm/README.md)            |         Пренесите логику своје апликације у облак         | Сазнајте како можете да напишете логику апликације у облаку која реагује на IoT поруке                                                                          |         [Пренесите логику своје апликације у облак](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Фарма](./2-farm/README.md)            |                   Заштитите своју биљку                    | Сазнајте више о безбедности са IoT-ом и како да заштитите своју биљку помоћу кључева и сертификата                                                                          |                        [Заштитите своју биљку](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Транспорт](./3-transport/README.md)       |                      Праћење локације                      | Сазнајте више о GPS праћењу локације за IoT уређаје                                                                                                                   |                           [Праћење локације](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Транспорт](./3-transport/README.md)       |                     Чување података о локацији                     | Сазнајте како да чувате IoT податке ради визуализације или касније анализе                                                                                                      |                         [Чување података о локацији](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Транспорт](./3-transport/README.md)       |                   Визуелизација података о локацији                   | Сазнајте више о визуализацији података о локацији на мапи и како мапе представљају стварни 3D свет у 2 димензије                                                            |                     [Визуелизација података о локацији](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Транспорт](./3-transport/README.md)       |                          Геоограде                          | Сазнајте више о геооградима и како се могу користити за упозорење када су возила у ланцу снабдевања близу своје дестинације                                           |                                   [Геоограде](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Производња](./4-manufacturing/README.md)   |               Тренирајте детектор квалитета воћа                | Сазнајте више о тренирању класификатора слика у облаку за детекцију квалитета воћа                                                                                       |                 [Тренирајте детектор квалитета воћа](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Производња](./4-manufacturing/README.md)   |           Провера квалитета воћа са IoT уређаја            | Сазнајте више о коришћењу детектора квалитета воћа са IoT уређаја                                                                                                    |           [Провера квалитета воћа са IoT уређаја](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Производња](./4-manufacturing/README.md)   |             Покрените детектор воћа на ивици             | Сазнајте више о покретању детектора воћа на IoT уређају на ивици                                                                                                |             [Покрените детектор воћа на ивици](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Производња](./4-manufacturing/README.md)   |        Покрените детекцију квалитета воћа са сензора        | Сазнајте више о покретању детекције квалитета воћа са сензора                                                                                                        |        [Покрените детекцију квалитета воћа са сензора](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Малопродаја](./5-retail/README.md)          |                   Тренирајте детектор залиха                    | Сазнајте како да користите детекцију објеката за тренирање детектора залиха ради бројања залиха у продавници                                                                                |                        [Тренирајте детектор залиха](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Малопродаја](./5-retail/README.md)          |               Провера залиха са IoT уређаја                | Сазнајте како да проверите залихе са IoT уређаја користећи модел за детекцију објеката                                                                                         |                     [Провера залиха са IoT уређаја](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Потрошач](./6-consumer/README.md)        |             Препознавање говора са IoT уређаја             | Сазнајте како да препознате говор са IoT уређаја ради прављења паметног тајмера                                                                                             |                  [Препознавање говора са IoT уређаја](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Потрошач](./6-consumer/README.md)        |                     Разумевање језика                     | Сазнајте како да разумете реченице изговорене IoT уређају                                                                                                           |                        [Разумевање језика](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Потрошач](./6-consumer/README.md)        |           Поставите тајмер и пружите говорну повратну информацију           | Сазнајте како да поставите тајмер на IoT уређају и дате говорну повратну информацију о времену постављања и завршетка тајмера                                                    |                 [Поставите тајмер и пружите говорну повратну информацију](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Потрошач](./6-consumer/README.md)        |                 Подршка за више језика                  | Сазнајте како да подржите више језика, како за говорене команде, тако и за одговоре вашег паметног тајмера                                                               |                   [Подршка за више језика](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  02   | [Почетак](./1-getting-started/README.md) |                   Дубље разумевање IoT                    | Сазнајте више о компонентама IoT система, као и о микроконтролерима и рачунарима са једном плочом                                                            |                        [Дубље разумевање IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Почетак](./1-getting-started/README.md) | Интеракција са физичким светом помоћу сензора и актуатора | Научите о сензорима за прикупљање података из физичког света и актуаторима за слање повратних информација док правите ноћно светло                                           | [Интеракција са физичким светом помоћу сензора и актуатора](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Почетак](./1-getting-started/README.md) |             Повежите свој уређај на интернет             | Научите како да повежете IoT уређај на интернет за слање и примање порука тако што ћете повезати своје ноћно светло на MQTT брокер                               |               [Повежите свој уређај на интернет](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Фарма](./2-farm/README.md)            |                    Предвидите раст биљака                     | Научите како да предвидите раст биљака користећи податке о температури које прикупља IoT уређај                                                                                  |                          [Предвидите раст биљака](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Фарма](./2-farm/README.md)            |                    Откријте влагу у земљишту                     | Научите како да откријете влагу у земљишту и калибришете сензор за влагу                                                                                              |                          [Откријте влагу у земљишту](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Фарма](./2-farm/README.md)            |                  Аутоматизовано заливање биљака                   | Научите како да аутоматизујете и временски одредите заливање користећи релеј и MQTT                                                                                                      |                      [Аутоматизовано заливање биљака](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Фарма](./2-farm/README.md)            |               Пренесите своју биљку у облак               | Научите о облаку и услугама IoT хостованим у облаку и како да повежете своју биљку са једним од њих уместо са јавним MQTT брокером                                   |               [Пренесите своју биљку у облак](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Фарма](./2-farm/README.md)            |         Пренесите логику своје апликације у облак         | Научите како можете да напишете логику апликације у облаку која реагује на IoT поруке                                                                          |         [Пренесите логику своје апликације у облак](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Фарма](./2-farm/README.md)            |                   Заштитите своју биљку                    | Научите о безбедности са IoT и како да заштитите своју биљку помоћу кључева и сертификата                                                                          |                        [Заштитите своју биљку](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Транспорт](./3-transport/README.md)       |                      Праћење локације                      | Научите о GPS праћењу локације за IoT уређаје                                                                                                                   |                           [Праћење локације](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Транспорт](./3-transport/README.md)       |                     Чување података о локацији                     | Научите како да чувате IoT податке за каснију визуализацију или анализу                                                                                                      |                         [Чување података о локацији](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Транспорт](./3-transport/README.md)       |                   Визуелизација података о локацији                   | Научите о визуализацији података о локацији на мапи и како мапе представљају стварни 3D свет у 2 димензије                                                            |                     [Визуелизација података о локацији](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Транспорт](./3-transport/README.md)       |                          Геоограде                          | Научите о геооградама и како се могу користити за упозорење када су возила у ланцу снабдевања близу своје дестинације                                           |                                   [Геоограде](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Производња](./4-manufacturing/README.md)   |               Тренирајте детектор квалитета воћа                | Научите како да обучите класификатор слика у облаку за детекцију квалитета воћа                                                                                       |                 [Тренирајте детектор квалитета воћа](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Производња](./4-manufacturing/README.md)   |           Провера квалитета воћа са IoT уређаја            | Научите како да користите детектор квалитета воћа са IoT уређаја                                                                                                    |           [Провера квалитета воћа са IoT уређаја](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Производња](./4-manufacturing/README.md)   |             Покрените детектор воћа на ивици             | Научите како да покренете детектор воћа на IoT уређају на ивици                                                                                                |             [Покрените детектор воћа на ивици](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Производња](./4-manufacturing/README.md)   |        Покрените детекцију квалитета воћа са сензора        | Научите како да покренете детекцију квалитета воћа са сензора                                                                                                        |        [Покрените детекцију квалитета воћа са сензора](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Малопродаја](./5-retail/README.md)          |                   Тренирајте детектор залиха                    | Научите како да користите детекцију објеката за тренирање детектора залиха за бројање залиха у продавници                                                                                |                        [Тренирајте детектор залиха](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Малопродаја](./5-retail/README.md)          |               Провера залиха са IoT уређаја                | Научите како да проверите залихе са IoT уређаја користећи модел за детекцију објеката                                                                                         |                     [Провера залиха са IoT уређаја](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Потрошачи](./6-consumer/README.md)        |             Препознавање говора са IoT уређаја             | Научите како да препознате говор са IoT уређаја за прављење паметног тајмера                                                                                             |                  [Препознавање говора са IoT уређаја](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Потрошачи](./6-consumer/README.md)        |                     Разумевање језика                     | Научите како да разумете реченице изговорене IoT уређају                                                                                                           |                        [Разумевање језика](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Потрошачи](./6-consumer/README.md)        |           Поставите тајмер и дајте говорну повратну информацију           | Научите како да поставите тајмер на IoT уређају и дате говорну повратну информацију о томе када је тајмер постављен и када се завршава                                                    |                 [Поставите тајмер и дајте говорну повратну информацију](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Потрошачи](./6-consumer/README.md)        |                 Подршка за више језика                  | Научите како да подржите више језика, како за говорене команде тако и за одговоре вашег паметног тајмера                                                               |                   [Подршка за више језика](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Офлајн приступ
 
-Можете покренути ову документацију офлајн користећи [Docsify](https://docsify.js.org/#/). Форкујте овај репозиторијум, [инсталирајте Docsify](https://docsify.js.org/#/quickstart) на вашем локалном рачунару, а затим у коренском директоријуму овог репозиторијума укуцајте `docsify serve`. Веб-сајт ће бити доступан на порту 3000 на вашем localhost-у: `localhost:3000`.
+Можете покренути ову документацију офлајн користећи [Docsify](https://docsify.js.org/#/). Форкујте овај репозиторијум, [инсталирајте Docsify](https://docsify.js.org/#/quickstart) на вашем локалном рачунару, а затим у коренској фасцикли овог репозиторијума укуцајте `docsify serve`. Веб-сајт ће бити доступан на порту 3000 на вашем localhost: `localhost:3000`.
 
 ## Квиз
 
-Хвала заједници на хостовању интерактивног квиза који тестира ваше знање о сваком од поглавља. Своје знање можете тестирати [овде](https://ff-quizzes.netlify.app/en/) 
+Хвала заједници на хостовању интерактивног квиза који тестира ваше знање о сваком од поглавља. Можете тестирати своје знање [овде](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Можете генерисати PDF овог садржаја за офлајн приступ ако је потребно. Да бисте то урадили, уверите се да имате [инсталиран npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) и покрените следеће команде у коренском директоријуму овог репозиторијума:
+Можете генерисати PDF овог садржаја за офлајн приступ ако је потребно. Да бисте то урадили, уверите се да имате [инсталиран npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) и покрените следеће команде у коренској фасцикли овог репозиторијума:
 
 ```sh
 npm i
@@ -144,14 +148,13 @@ npm run convert
 
 ### Слајдови
 
-Постоје презентације за неке од лекција у директоријуму [slides](../../slides).
+Постоје презентације за неке од лекција у фасцикли [slides](../../slides).
 
 
 ## Остали курикулуми
 
 Наш тим производи и друге курикулуме! Погледајте:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Агенти
 [![AZD за почетнике](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI за почетнике](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,36 +162,39 @@ npm run convert
 [![AI агенти за почетнике](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Генеративна AI серија
 [![Генеративна AI за почетнике](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Генеративна AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Генеративна AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Генеративна AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Генеративна вештачка интелигенција (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Основно учење
-[![Машинско учење за почетнике](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Наука о подацима за почетнике](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Вештачка интелигенција за почетнике](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Сајбер безбедност за почетнике](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Веб развој за почетнике](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Интернет ствари за почетнике](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR развој за почетнике](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Машинско учење за почетнике](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Наука о подацима за почетнике](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![Вештачка интелигенција за почетнике](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Сајбер безбедност за почетнике](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Веб развој за почетнике](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![Интернет ствари (IoT) за почетнике](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR развој за почетнике](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot серија  
-[![Copilot за парно програмирање уз помоћ вештачке интелигенције](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot за C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot авантура](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot серија
+[![Copilot за парно програмирање са вештачком интелигенцијом](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot за C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot авантура](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Атрибуције слика  
+## Атрибуције слика
 
-Све атрибуције за слике коришћене у овом курикулуму, где је потребно, можете пронаћи у [Атрибуцијама](./attributions.md).  
+Све атрибуције за слике коришћене у овом курикулуму, где је то потребно, можете пронаћи у [Атрибуције](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Одрицање од одговорности**:  
-Овај документ је преведен помоћу услуге за превођење вештачке интелигенције [Co-op Translator](https://github.com/Azure/co-op-translator). Иако настојимо да обезбедимо тачност, молимо вас да имате у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на изворном језику треба сматрати ауторитативним извором. За критичне информације препоручује се професионални превод од стране људи. Не преузимамо одговорност за било каква погрешна тумачења или неспоразуме који могу настати услед коришћења овог превода.
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+Овај документ је преведен коришћењем услуге за превођење помоћу вештачке интелигенције [Co-op Translator](https://github.com/Azure/co-op-translator). Иако се трудимо да обезбедимо тачност, молимо вас да имате у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на изворном језику треба сматрати ауторитативним извором. За критичне информације препоручује се професионални превод од стране људи. Не сносимо одговорност за било каква погрешна тумачења или неспоразуме који могу произаћи из коришћења овог превода.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
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diff --git a/translations/sv/README.md b/translations/sv/README.md
index 58425943b..00f25a8a2 100644
--- a/translations/sv/README.md
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@@ -1,142 +1,147 @@
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-  "translation_date": "2025-10-24T09:12:33+00:00",
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+  "translation_date": "2025-11-18T17:44:29+00:00",
   "source_file": "README.md",
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-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Gå med i Azure AI Foundry Community 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Gå med i Azure AI Foundry Community  
 
-Följ dessa steg för att komma igång med att använda dessa resurser:
-1. **Forka Repositoriet**: Klicka [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Klona Repositoriet**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Gå med i Azure AI Foundry Discord och träffa experter och andra utvecklare**](https://discord.com/invite/ByRwuEEgH4)
+Om du fastnar eller har frågor om att bygga AI-appar, gå med andra elever och erfarna utvecklare i diskussioner om MCP. Det är en stödjande gemenskap där frågor är välkomna och kunskap delas fritt.  
 
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-### 🌐 Stöd för flera språk
+Om du har produktfeedback eller stöter på problem under byggandet, besök:  
 
-#### Stöds via GitHub Action (Automatiserat och alltid uppdaterat)
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
+
+Följ dessa steg för att komma igång med att använda dessa resurser:  
+1. **Forka Repositoriet**: Klicka [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Klona Repositoriet**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Gå med i Microsoft Foundry Discord och träffa experter och andra utvecklare**](https://discord.com/invite/ByRwuEEgH4)  
+
+### 🌐 Stöd för flera språk  
+
+#### Stöds via GitHub Action (Automatiserat & Alltid Uppdaterat)  
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabiska](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgariska](../bg/README.md) | [Burmesiska (Myanmar)](../my/README.md) | [Kinesiska (Förenklad)](../zh/README.md) | [Kinesiska (Traditionell, Hong Kong)](../hk/README.md) | [Kinesiska (Traditionell, Macau)](../mo/README.md) | [Kinesiska (Traditionell, Taiwan)](../tw/README.md) | [Kroatiska](../hr/README.md) | [Tjeckiska](../cs/README.md) | [Danska](../da/README.md) | [Holländska](../nl/README.md) | [Estniska](../et/README.md) | [Finska](../fi/README.md) | [Franska](../fr/README.md) | [Tyska](../de/README.md) | [Grekiska](../el/README.md) | [Hebreiska](../he/README.md) | [Hindi](../hi/README.md) | [Ungerska](../hu/README.md) | [Indonesiska](../id/README.md) | [Italienska](../it/README.md) | [Japanska](../ja/README.md) | [Koreanska](../ko/README.md) | [Litauiska](../lt/README.md) | [Malajiska](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalesiska](../ne/README.md) | [Norska](../no/README.md) | [Persiska (Farsi)](../fa/README.md) | [Polska](../pl/README.md) | [Portugisiska (Brasilien)](../br/README.md) | [Portugisiska (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänska](../ro/README.md) | [Ryska](../ru/README.md) | [Serbiska (Kyrilliska)](../sr/README.md) | [Slovakiska](../sk/README.md) | [Slovenska](../sl/README.md) | [Spanska](../es/README.md) | [Swahili](../sw/README.md) | [Svenska](./README.md) | [Tagalog (Filippinska)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailändska](../th/README.md) | [Turkiska](../tr/README.md) | [Ukrainska](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesiska](../vi/README.md)
+[Arabiska](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgariska](../bg/README.md) | [Burmesiska (Myanmar)](../my/README.md) | [Kinesiska (Förenklad)](../zh/README.md) | [Kinesiska (Traditionell, Hongkong)](../hk/README.md) | [Kinesiska (Traditionell, Macau)](../mo/README.md) | [Kinesiska (Traditionell, Taiwan)](../tw/README.md) | [Kroatiska](../hr/README.md) | [Tjeckiska](../cs/README.md) | [Danska](../da/README.md) | [Holländska](../nl/README.md) | [Estniska](../et/README.md) | [Finska](../fi/README.md) | [Franska](../fr/README.md) | [Tyska](../de/README.md) | [Grekiska](../el/README.md) | [Hebreiska](../he/README.md) | [Hindi](../hi/README.md) | [Ungerska](../hu/README.md) | [Indonesiska](../id/README.md) | [Italienska](../it/README.md) | [Japanska](../ja/README.md) | [Koreanska](../ko/README.md) | [Litauiska](../lt/README.md) | [Malajiska](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalesiska](../ne/README.md) | [Nigeriansk Pidgin](../pcm/README.md) | [Norska](../no/README.md) | [Persiska (Farsi)](../fa/README.md) | [Polska](../pl/README.md) | [Portugisiska (Brasilien)](../br/README.md) | [Portugisiska (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänska](../ro/README.md) | [Ryska](../ru/README.md) | [Serbiska (Kyrilliska)](../sr/README.md) | [Slovakiska](../sk/README.md) | [Slovenska](../sl/README.md) | [Spanska](../es/README.md) | [Swahili](../sw/README.md) | [Svenska](./README.md) | [Tagalog (Filippinska)](../tl/README.md) | [Tamil](../ta/README.md) | [Thailändska](../th/README.md) | [Turkiska](../tr/README.md) | [Ukrainska](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesiska](../vi/README.md)  
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT för nybörjare - En kursplan
-
-Azure Cloud Advocates på Microsoft är glada att kunna erbjuda en 12-veckors kurs med 24 lektioner om grunderna i IoT. Varje lektion innehåller quiz före och efter lektionen, skriftliga instruktioner för att slutföra lektionen, en lösning, en uppgift och mer. Vår projektbaserade pedagogik gör det möjligt för dig att lära dig genom att bygga, vilket är en beprövad metod för att få nya kunskaper att fastna.
+# IoT för Nybörjare - En Läroplan  
 
-Projekten täcker resan för mat från gård till bord. Detta inkluderar jordbruk, logistik, tillverkning, detaljhandel och konsument - alla populära branscher för IoT-enheter.
+Azure Cloud Advocates på Microsoft är glada att kunna erbjuda en 12-veckors, 24-lektions läroplan om grunderna i IoT. Varje lektion innehåller quiz före och efter lektionen, skriftliga instruktioner för att slutföra lektionen, en lösning, en uppgift och mer. Vår projektbaserade pedagogik låter dig lära dig medan du bygger, ett beprövat sätt för nya färdigheter att "fastna".  
 
-![En vägkarta för kursen som visar 24 lektioner som täcker introduktion, jordbruk, transport, bearbetning, detaljhandel och matlagning](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sv.jpg)
+Projekten täcker resan för mat från gård till bord. Detta inkluderar jordbruk, logistik, tillverkning, detaljhandel och konsument - alla populära branscher för IoT-enheter.  
 
-> Sketchnote av [Nitya Narasimhan](https://github.com/nitya). Klicka på bilden för en större version.
+![En vägkarta för kursen som visar 24 lektioner som täcker introduktion, jordbruk, transport, bearbetning, detaljhandel och matlagning](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sv.jpg)  
 
-**Stort tack till våra författare [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), och vår sketchnote-konstnär [Nitya Narasimhan](https://github.com/nitya).**
+> Sketchnote av [Nitya Narasimhan](https://github.com/nitya). Klicka på bilden för en större version.  
 
-**Tack också till vårt team av [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) som har granskat och översatt denna kursplan - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), och [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Stort tack till våra författare [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), och vår sketchnote-konstnär [Nitya Narasimhan](https://github.com/nitya).**  
 
-Möt teamet!
+**Tack också till vårt team av [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) som har granskat och översatt denna läroplan - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), och [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+Möt teamet!  
 
-**Gif av** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+[![Promo video](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-> 🎥 Klicka på bilden ovan för en video om projektet!
+**Gif av** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-> **Lärare**, vi har [inkluderat några förslag](for-teachers.md) på hur man kan använda denna kursplan. Om du vill skapa egna lektioner har vi också inkluderat en [lektionmall](lesson-template/README.md).
+> 🎥 Klicka på bilden ovan för en video om projektet!  
 
-> **[Studenter](https://aka.ms/student-page)**, för att använda denna kursplan på egen hand, forka hela repositoriet och slutför övningarna själv, börja med ett quiz före lektionen, läs sedan lektionen och slutför resten av aktiviteterna. Försök att skapa projekten genom att förstå lektionerna snarare än att kopiera lösningskoden; dock finns den koden tillgänglig i /solutions-mapparna i varje projektbaserad lektion. Ett annat förslag är att bilda en studiegrupp med vänner och gå igenom innehållet tillsammans. För vidare studier rekommenderar vi [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **Lärare**, vi har [inkluderat några förslag](for-teachers.md) på hur man använder denna läroplan. Om du vill skapa dina egna lektioner har vi också inkluderat en [lektionsmall](lesson-template/README.md).  
 
-För en videoöversikt av denna kurs, kolla in denna video:
+> **[Studenter](https://aka.ms/student-page)**, för att använda denna läroplan på egen hand, forka hela repot och slutför övningarna själv, börja med ett quiz före lektionen, läs sedan lektionen och slutför resten av aktiviteterna. Försök att skapa projekten genom att förstå lektionerna snarare än att kopiera lösningskoden; dock finns den koden tillgänglig i /solutions-mapparna i varje projektorienterad lektion. Ett annat förslag är att bilda en studiegrupp med vänner och gå igenom innehållet tillsammans. För vidare studier rekommenderar vi [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+För en videoöversikt av denna kurs, kolla in denna video:  
 
-> 🎥 Klicka på bilden ovan för en video om projektet!
+[![Promo video](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
 
-## Pedagogik
+> 🎥 Klicka på bilden ovan för en video om projektet!  
 
-Vi har valt två pedagogiska principer när vi byggde denna kursplan: att säkerställa att den är projektbaserad och att den innehåller frekventa quiz. Vid slutet av denna serie kommer studenter att ha byggt ett system för växtövervakning och bevattning, en fordonsföljare, en smart fabrik för att spåra och kontrollera mat, och en röststyrd matlagningstimer, samt ha lärt sig grunderna i Internet of Things inklusive hur man skriver enhetskod, ansluter till molnet, analyserar telemetri och kör AI vid kanten.
+## Pedagogik  
 
-Genom att säkerställa att innehållet är kopplat till projekt görs processen mer engagerande för studenter och koncepten blir lättare att komma ihåg.
+Vi har valt två pedagogiska principer när vi byggde denna läroplan: att säkerställa att den är projektbaserad och att den innehåller frekventa quiz. Vid slutet av denna serie kommer studenter att ha byggt ett växtövervaknings- och bevattningssystem, en fordonsföljare, en smart fabrik för att spåra och kontrollera mat, och en röststyrd matlagningstimer, samt ha lärt sig grunderna i Internet of Things inklusive hur man skriver enhetskod, ansluter till molnet, analyserar telemetri och kör AI vid kanten.  
 
-Dessutom sätter ett låginsatsquiz före en lektion studentens intention mot att lära sig ett ämne, medan ett andra quiz efter lektionen säkerställer ytterligare retention. Denna kursplan är designad för att vara flexibel och rolig och kan tas i sin helhet eller delvis. Projekten börjar små och blir alltmer komplexa mot slutet av den 12-veckors cykeln.
+Genom att säkerställa att innehållet är kopplat till projekt görs processen mer engagerande för studenter och koncepten blir lättare att komma ihåg.  
 
-Varje projekt är baserat på verklig hårdvara som är tillgänglig för studenter och hobbyister. Varje projekt undersöker det specifika projektområdet och ger relevant bakgrundskunskap. För att bli en framgångsrik utvecklare är det bra att förstå det område där du löser problem, och att ge denna bakgrundskunskap gör det möjligt för studenter att tänka på sina IoT-lösningar och lärdomar i kontexten av den typ av verkliga problem som de kan bli ombedda att lösa som IoT-utvecklare. Studenter lär sig "varför" bakom lösningarna de bygger och får en förståelse för slutanvändaren.
+Dessutom sätter ett lågtröskelquiz före en lektion studentens intention mot att lära sig ett ämne, medan ett andra quiz efter lektionen säkerställer ytterligare retention. Denna läroplan är designad för att vara flexibel och rolig och kan tas i sin helhet eller delvis. Projekten börjar små och blir alltmer komplexa i slutet av den 12-veckors cykeln.  
 
-## Hårdvara
+Varje projekt är baserat på verklig hårdvara som är tillgänglig för studenter och hobbyister. Varje projekt undersöker det specifika projektområdet och ger relevant bakgrundskunskap. För att bli en framgångsrik utvecklare är det bra att förstå det område där du löser problem. Genom att ge denna bakgrundskunskap kan studenter tänka på sina IoT-lösningar och lärdomar i kontexten av den typ av verkliga problem som de kan bli ombedda att lösa som IoT-utvecklare. Studenter lär sig "varför" bakom lösningarna de bygger och får en förståelse för slutanvändaren.  
 
-Vi har två val av IoT-hårdvara att använda för projekten beroende på personliga preferenser, programmeringskunskaper eller preferenser, lärandemål och tillgänglighet. Vi har också tillhandahållit en version med "virtuell hårdvara" för dem som inte har tillgång till hårdvara, eller vill lära sig mer innan de bestämmer sig för att köpa. Du kan läsa mer och hitta en "inköpslista" på [hårdvarusidan](./hardware.md), inklusive länkar för att köpa kompletta kit från våra vänner på Seeed Studio.
+## Hårdvara  
 
-> 💁 Hitta vår [Uppförandekod](CODE_OF_CONDUCT.md), [Bidragsriktlinjer](CONTRIBUTING.md), och [Översättningsriktlinjer](TRANSLATIONS.md). Vi välkomnar din konstruktiva feedback!
+Vi har två val av IoT-hårdvara att använda för projekten beroende på personliga preferenser, programmeringsspråkskunskaper eller preferenser, lärandemål och tillgänglighet. Vi har också tillhandahållit en "virtuell hårdvara"-version för dem som inte har tillgång till hårdvara, eller som vill lära sig mer innan de bestämmer sig för ett köp. Du kan läsa mer och hitta en "inköpslista" på [hårdvarusidan](./hardware.md), inklusive länkar för att köpa kompletta kit från våra vänner på Seeed Studio.  
 
-## Varje lektion innehåller:
+> 💁 Hitta vår [Uppförandekod](CODE_OF_CONDUCT.md), [Bidragsriktlinjer](CONTRIBUTING.md), och [Översättningsriktlinjer](TRANSLATIONS.md). Vi välkomnar din konstruktiva feedback!  
 
-- sketchnote
-- valfri kompletterande video
-- quiz före lektionen
-- skriftlig lektion
-- för projektbaserade lektioner, steg-för-steg-guider om hur man bygger projektet
-- kunskapskontroller
-- en utmaning
-- kompletterande läsning
-- uppgift
-- [quiz efter lektionen](https://ff-quizzes.netlify.app/en/)
+## Varje lektion inkluderar:  
 
-> **En notering om quiz**: Alla quiz finns i quiz-app-mappen, totalt 48 quiz med tre frågor vardera. De är länkade från lektionerna men quiz-appen kan köras lokalt eller distribueras till Azure; följ instruktionerna i `quiz-app`-mappen. De lokaliseras gradvis.
+- sketchnote  
+- valfri kompletterande video  
+- uppvärmningsquiz före lektionen  
+- skriftlig lektion  
+- för projektbaserade lektioner, steg-för-steg-guider om hur man bygger projektet  
+- kunskapskontroller  
+- en utmaning  
+- kompletterande läsning  
+- uppgift  
+- [quiz efter lektionen](https://ff-quizzes.netlify.app/en/)  
+> **En anteckning om frågesporter**: Alla frågesporter finns i mappen quiz-app, totalt 48 frågesporter med tre frågor vardera. De är länkade från lektionerna, men frågesportsappen kan köras lokalt eller distribueras till Azure; följ instruktionerna i mappen `quiz-app`. De lokaliseras gradvis.
 
 ## Lektioner
 
-|       |              Projektets namn              |                       Koncept som lärs ut                       | Lärandemål                                                                                                                                                 |                                                        Länkad lektion                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Kom igång](./1-getting-started/README.md) |                     Introduktion till IoT                     | Lär dig de grundläggande principerna för IoT och de grundläggande byggstenarna i IoT-lösningar, såsom sensorer och molntjänster, medan du sätter upp din första IoT-enhet |                      [Introduktion till IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Kom igång](./1-getting-started/README.md) |                   En djupare inblick i IoT                    | Lär dig mer om komponenterna i ett IoT-system, samt mikrokontroller och enkortsdatorer                                                                                 |                        [En djupare inblick i IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Kom igång](./1-getting-started/README.md) | Interagera med den fysiska världen med sensorer och ställdon | Lär dig om sensorer för att samla in data från den fysiska världen och ställdon för att skicka feedback, medan du bygger en nattlampa                                  | [Interagera med den fysiska världen med sensorer och ställdon](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Kom igång](./1-getting-started/README.md) |             Anslut din enhet till Internet             | Lär dig hur du ansluter en IoT-enhet till Internet för att skicka och ta emot meddelanden genom att ansluta din nattlampa till en MQTT-broker                          |               [Anslut din enhet till Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Jordbruk](./2-farm/README.md)            |                    Förutsäg växttillväxt                     | Lär dig hur du kan förutsäga växttillväxt med hjälp av temperaturdata som samlats in av en IoT-enhet                                                                   |                          [Förutsäg växttillväxt](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Jordbruk](./2-farm/README.md)            |                    Upptäck jordfuktighet                     | Lär dig hur du upptäcker jordfuktighet och kalibrerar en jordfuktighetssensor                                                                                         |                          [Upptäck jordfuktighet](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Jordbruk](./2-farm/README.md)            |                  Automatiserad växtbevattning                   | Lär dig hur du automatiserar och tidsinställer bevattning med hjälp av ett relä och MQTT                                                                               |                      [Automatiserad växtbevattning](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Jordbruk](./2-farm/README.md)            |               Migrera din växt till molnet               | Lär dig om molnet och molnbaserade IoT-tjänster och hur du ansluter din växt till en av dessa istället för en offentlig MQTT-broker                                    |               [Migrera din växt till molnet](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Jordbruk](./2-farm/README.md)            |         Migrera din applikationslogik till molnet         | Lär dig hur du kan skriva applikationslogik i molnet som svarar på IoT-meddelanden                                                                                     |         [Migrera din applikationslogik till molnet](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Jordbruk](./2-farm/README.md)            |                   Håll din växt säker                    | Lär dig om säkerhet med IoT och hur du håller din växt säker med nycklar och certifikat                                                                               |                        [Håll din växt säker](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Platsövervakning                      | Lär dig om GPS-platsövervakning för IoT-enheter                                                                                                                       |                           [Platsövervakning](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     Spara platsdata                     | Lär dig hur du sparar IoT-data för att visualisera eller analysera senare                                                                                             |                         [Spara platsdata](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   Visualisera platsdata                   | Lär dig att visualisera platsdata på en karta och hur kartor representerar den verkliga 3D-världen i två dimensioner                                                  |                     [Visualisera platsdata](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Lär dig om geofences och hur de kan användas för att varna när fordon i leveranskedjan är nära sin destination                                                        |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Tillverkning](./4-manufacturing/README.md)   |               Träna en fruktkvalitetsdetektor                | Lär dig att träna en bildklassificerare i molnet för att upptäcka fruktkvalitet                                                                                       |                 [Träna en fruktkvalitetsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Tillverkning](./4-manufacturing/README.md)   |           Kontrollera fruktkvalitet från en IoT-enhet            | Lär dig att använda din fruktkvalitetsdetektor från en IoT-enhet                                                                                                       |           [Kontrollera fruktkvalitet från en IoT-enhet](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Tillverkning](./4-manufacturing/README.md)   |             Kör din fruktdetektor vid kanten             | Lär dig att köra din fruktdetektor på en IoT-enhet vid kanten                                                                                                         |             [Kör din fruktdetektor vid kanten](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Tillverkning](./4-manufacturing/README.md)   |        Utlös fruktkvalitetsdetektering från en sensor        | Lär dig att utlösa fruktkvalitetsdetektering från en sensor                                                                                                          |        [Utlös fruktkvalitetsdetektering från en sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Detaljhandel](./5-retail/README.md)          |                   Träna en lagerdetektor                    | Lär dig att använda objektdetektering för att träna en lagerdetektor för att räkna lager i en butik                                                                  |                        [Träna en lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Detaljhandel](./5-retail/README.md)          |               Kontrollera lager från en IoT-enhet                | Lär dig att kontrollera lager från en IoT-enhet med hjälp av en objektdetekteringsmodell                                                                              |                     [Kontrollera lager från en IoT-enhet](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Konsument](./6-consumer/README.md)        |             Känna igen tal med en IoT-enhet             | Lär dig att känna igen tal från en IoT-enhet för att bygga en smart timer                                                                                             |                  [Känna igen tal med en IoT-enhet](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Konsument](./6-consumer/README.md)        |                     Förstå språk                     | Lär dig att förstå meningar som talas till en IoT-enhet                                                                                                              |                        [Förstå språk](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Konsument](./6-consumer/README.md)        |           Ställ in en timer och ge talad feedback           | Lär dig att ställa in en timer på en IoT-enhet och ge talad feedback om när timern är inställd och när den är klar                                                    |                 [Ställ in en timer och ge talad feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Konsument](./6-consumer/README.md)        |                 Stöd flera språk                  | Lär dig att stödja flera språk, både de som talas till och svaren från din smarta timer                                                                               |                   [Stöd flera språk](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|       |              Projektnamn              |                       Lärda koncept                       | Lärandemål                                                                                                                                                 |                                                        Länkad lektion                                                         |
+| :---: | :-----------------------------------: | :-------------------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Komma igång](./1-getting-started/README.md) |                     Introduktion till IoT                     | Lär dig de grundläggande principerna för IoT och de grundläggande byggstenarna i IoT-lösningar som sensorer och molntjänster medan du sätter upp din första IoT-enhet |                      [Introduktion till IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Komma igång](./1-getting-started/README.md) |                   En djupare inblick i IoT                    | Lär dig mer om komponenterna i ett IoT-system, samt mikrokontroller och enkortsdatorer                                                                      |                        [En djupare inblick i IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Komma igång](./1-getting-started/README.md) | Interagera med den fysiska världen med sensorer och ställdon | Lär dig om sensorer för att samla in data från den fysiska världen och ställdon för att skicka feedback, medan du bygger en nattlampa                        | [Interagera med den fysiska världen med sensorer och ställdon](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Komma igång](./1-getting-started/README.md) |             Anslut din enhet till Internet             | Lär dig hur du ansluter en IoT-enhet till Internet för att skicka och ta emot meddelanden genom att ansluta din nattlampa till en MQTT-broker               |               [Anslut din enhet till Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Gård](./2-farm/README.md)            |                    Förutsäga växttillväxt                     | Lär dig att förutsäga växttillväxt med hjälp av temperaturdata som samlats in av en IoT-enhet                                                                |                          [Förutsäga växttillväxt](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Gård](./2-farm/README.md)            |                    Upptäcka jordfuktighet                     | Lär dig att upptäcka jordfuktighet och kalibrera en jordfuktighetssensor                                                                                     |                          [Upptäcka jordfuktighet](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Gård](./2-farm/README.md)            |                  Automatiserad växtbevattning                   | Lär dig att automatisera och tidsinställa bevattning med hjälp av ett relä och MQTT                                                                           |                      [Automatiserad växtbevattning](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Gård](./2-farm/README.md)            |               Migrera din växt till molnet               | Lär dig om molnet och molnbaserade IoT-tjänster och hur du ansluter din växt till en av dessa istället för en offentlig MQTT-broker                          |               [Migrera din växt till molnet](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Gård](./2-farm/README.md)            |         Migrera din applikationslogik till molnet         | Lär dig hur du kan skriva applikationslogik i molnet som svarar på IoT-meddelanden                                                                           |         [Migrera din applikationslogik till molnet](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Gård](./2-farm/README.md)            |                   Håll din växt säker                    | Lär dig om säkerhet med IoT och hur du håller din växt säker med nycklar och certifikat                                                                      |                        [Håll din växt säker](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [Transport](./3-transport/README.md)       |                      Platsövervakning                      | Lär dig om GPS-platsövervakning för IoT-enheter                                                                                                               |                           [Platsövervakning](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Lagra platsdata                     | Lär dig hur du lagrar IoT-data för att visualiseras eller analyseras senare                                                                                  |                         [Lagra platsdata](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   Visualisera platsdata                   | Lär dig om att visualisera platsdata på en karta och hur kartor representerar den verkliga 3D-världen i två dimensioner                                       |                     [Visualisera platsdata](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofencing                          | Lär dig om geofencing och hur det kan användas för att varna när fordon i leveranskedjan är nära sin destination                                             |                                   [Geofencing](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Tillverkning](./4-manufacturing/README.md)   |               Träna en fruktkvalitetsdetektor                | Lär dig att träna en bildklassificerare i molnet för att upptäcka fruktkvalitet                                                                               |                 [Träna en fruktkvalitetsdetektor](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Tillverkning](./4-manufacturing/README.md)   |           Kontrollera fruktkvalitet från en IoT-enhet            | Lär dig att använda din fruktkvalitetsdetektor från en IoT-enhet                                                                                              |           [Kontrollera fruktkvalitet från en IoT-enhet](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Tillverkning](./4-manufacturing/README.md)   |             Kör din fruktdetektor vid kanten             | Lär dig att köra din fruktdetektor på en IoT-enhet vid kanten                                                                                                |             [Kör din fruktdetektor vid kanten](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Tillverkning](./4-manufacturing/README.md)   |        Utlös fruktkvalitetsdetektering från en sensor        | Lär dig att utlösa fruktkvalitetsdetektering från en sensor                                                                                                  |        [Utlös fruktkvalitetsdetektering från en sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Detaljhandel](./5-retail/README.md)          |                   Träna en lagerdetektor                    | Lär dig att använda objektdetektering för att träna en lagerdetektor för att räkna lager i en butik                                                          |                        [Träna en lagerdetektor](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Detaljhandel](./5-retail/README.md)          |               Kontrollera lager från en IoT-enhet                | Lär dig att kontrollera lager från en IoT-enhet med hjälp av en objektdetekteringsmodell                                                                      |                     [Kontrollera lager från en IoT-enhet](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Konsument](./6-consumer/README.md)        |             Känna igen tal med en IoT-enhet             | Lär dig att känna igen tal från en IoT-enhet för att bygga en smart timer                                                                                     |                  [Känna igen tal med en IoT-enhet](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Konsument](./6-consumer/README.md)        |                     Förstå språk                     | Lär dig att förstå meningar som talas till en IoT-enhet                                                                                                       |                        [Förstå språk](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Konsument](./6-consumer/README.md)        |           Ställ in en timer och ge talad feedback           | Lär dig att ställa in en timer på en IoT-enhet och ge talad feedback om när timern är inställd och när den är klar                                           |                 [Ställ in en timer och ge talad feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Konsument](./6-consumer/README.md)        |                 Stöd flera språk                  | Lär dig att stödja flera språk, både de som talas till och svaren från din smarta timer                                                                       |                   [Stöd flera språk](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offlineåtkomst
 
-Du kan köra denna dokumentation offline med hjälp av [Docsify](https://docsify.js.org/#/). Forka detta repo, [installera Docsify](https://docsify.js.org/#/quickstart) på din lokala dator och skriv sedan `docsify serve` i root-mappen av detta repo. Webbplatsen kommer att köras på port 3000 på din localhost: `localhost:3000`.
+Du kan köra denna dokumentation offline med hjälp av [Docsify](https://docsify.js.org/#/). Forka detta repo, [installera Docsify](https://docsify.js.org/#/quickstart) på din lokala maskin och skriv sedan `docsify serve` i rotmappen av detta repo. Webbplatsen kommer att köras på port 3000 på din localhost: `localhost:3000`.
 
-## Quiz
+## Frågesport
 
-Tack till communityn för att ha skapat det interaktiva quizet som testar din kunskap om varje kapitel. Du kan testa din kunskap [här](https://ff-quizzes.netlify.app/en/) 
+Tack till communityn för att de är värd för den interaktiva frågesporten som testar dina kunskaper om varje kapitel. Du kan testa dina kunskaper [här](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Du kan generera en PDF av detta innehåll för offlineåtkomst om det behövs. För att göra detta, se till att du har [npm installerat](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) och kör följande kommandon i root-mappen av detta repo:
+Du kan generera en PDF av detta innehåll för offlineåtkomst om det behövs. För att göra detta, se till att du har [npm installerat](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) och kör följande kommandon i rotmappen av detta repo:
 
 ```sh
 npm i
@@ -147,20 +152,18 @@ npm run convert
 
 Det finns presentationsmaterial för vissa av lektionerna i mappen [slides](../../slides).
 
-
 ## Andra läroplaner
 
 Vårt team producerar andra läroplaner! Kolla in:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
-### Azure / Edge / MCP / Agents
+### Azure / Edge / MCP / Agenter
 [![AZD för nybörjare](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI för nybörjare](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP för nybörjare](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI-agenter för nybörjare](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generativ AI-serie
 [![Generativ AI för nybörjare](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generativ AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
@@ -168,7 +171,7 @@ Vårt team producerar andra läroplaner! Kolla in:
 [![Generativ AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Grundläggande lärande
 [![ML för nybörjare](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![Data Science för nybörjare](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
@@ -188,9 +191,11 @@ Vårt team producerar andra läroplaner! Kolla in:
 
 ## Bildattributioner
 
-Du hittar alla attributioner för bilder som används i detta material där det krävs i [Attributions](./attributions.md).
+Du kan hitta alla attributioner för bilder som används i detta läroplan där det krävs i [Attributions](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Ansvarsfriskrivning**:  
-Detta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet, bör det noteras att automatiserade översättningar kan innehålla fel eller felaktigheter. Det ursprungliga dokumentet på dess ursprungliga språk bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för eventuella missförstånd eller feltolkningar som uppstår vid användning av denna översättning.
\ No newline at end of file
+Detta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet, bör det noteras att automatiserade översättningar kan innehålla fel eller felaktigheter. Det ursprungliga dokumentet på dess originalspråk bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för eventuella missförstånd eller feltolkningar som uppstår vid användning av denna översättning.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/sw/README.md b/translations/sw/README.md
index 2d724262e..2a41dcbb6 100644
--- a/translations/sw/README.md
+++ b/translations/sw/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:20:16+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:58:50+00:00",
   "source_file": "README.md",
   "language_code": "sw"
 }
@@ -18,26 +18,35 @@ CO_OP_TRANSLATOR_METADATA:
 [![Nyota za GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### Jiunge na Jamii ya Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+
+Ikiwa unakwama au una maswali kuhusu kujenga programu za AI. Jiunge na wanafunzi wenzako na watengenezaji wenye uzoefu katika mijadala kuhusu MCP. Ni jamii inayounga mkono ambapo maswali yanakaribishwa na maarifa yanashirikishwa kwa uhuru.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Ikiwa una maoni ya bidhaa au makosa wakati wa kujenga tembelea:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 Fuata hatua hizi kuanza kutumia rasilimali hizi:
 1. **Fork Hifadhi**: Bonyeza [![Forks za GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **Clone Hifadhi**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Jiunge na Azure AI Foundry Discord na kutana na wataalamu na watengenezaji wenzako**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Jiunge na Microsoft Foundry Discord na kutana na wataalamu na watengenezaji wenzako**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Msaada wa Lugha Nyingi
 
-#### Inasaidiwa kupitia Hatua ya GitHub (Imefanywa Kiotomatiki & Daima Inasasishwa)
+#### Inasaidiwa kupitia GitHub Action (Imewezeshwa Kiotomatiki & Daima Imeboreshwa)
 
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](./README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](./README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT kwa Kompyuta - Mtaala
 
-Wakili wa Wingu la Azure katika Microsoft wanayo furaha kutoa mtaala wa wiki 12, masomo 24 kuhusu misingi ya IoT. Kila somo linajumuisha maswali ya awali na ya baada ya somo, maelekezo yaliyoandikwa ya kukamilisha somo, suluhisho, kazi na zaidi. Mbinu yetu ya kujifunza kwa miradi inakuwezesha kujifunza huku ukijenga, njia iliyothibitishwa ya kufanya ujuzi mpya kubaki.
+Wataalamu wa Azure Cloud Advocates katika Microsoft wanayo furaha kutoa mtaala wa wiki 12, masomo 24 kuhusu misingi ya IoT. Kila somo linajumuisha maswali ya awali na ya baada ya somo, maelekezo yaliyoandikwa ya kukamilisha somo, suluhisho, kazi na zaidi. Mbinu yetu ya kujifunza kwa miradi inakuruhusu kujifunza huku ukijenga, njia iliyothibitishwa ya kufanya ujuzi mpya 'kubaki'.
 
-Miradi inahusu safari ya chakula kutoka shamba hadi mezani. Hii inajumuisha kilimo, usafirishaji, utengenezaji, rejareja na mtumiaji - maeneo yote maarufu ya viwanda kwa vifaa vya IoT.
+Miradi inashughulikia safari ya chakula kutoka shambani hadi mezani. Hii inajumuisha kilimo, usafirishaji, utengenezaji, rejareja na mtumiaji - maeneo yote maarufu ya viwanda kwa vifaa vya IoT.
 
-![Ramani ya kozi ikionyesha masomo 24 yanayohusu utangulizi, kilimo, usafirishaji, usindikaji, rejareja na kupika](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sw.jpg)
+![Ramani ya kozi inayoonyesha masomo 24 yanayoshughulikia utangulizi, kilimo, usafirishaji, usindikaji, rejareja na kupika](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.sw.jpg)
 
 > Sketchnote na [Nitya Narasimhan](https://github.com/nitya). Bonyeza picha kwa toleo kubwa.
 
@@ -47,7 +56,7 @@ Miradi inahusu safari ya chakula kutoka shamba hadi mezani. Hii inajumuisha kili
 
 Kutana na timu!
 
-[![Video ya promo](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+[![Video ya Promo](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
 **Gif na** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
 
@@ -55,27 +64,27 @@ Kutana na timu!
 
 > **Walimu**, tumetoa [mapendekezo kadhaa](for-teachers.md) kuhusu jinsi ya kutumia mtaala huu. Ikiwa ungependa kuunda masomo yako mwenyewe, tumetoa pia [kiolezo cha somo](lesson-template/README.md).
 
-> **[Wanafunzi](https://aka.ms/student-page)**, kutumia mtaala huu peke yako, fork hifadhi nzima na ukamilishe mazoezi peke yako, ukianza na jaribio la kabla ya somo, kisha kusoma somo na kukamilisha shughuli nyingine. Jaribu kuunda miradi kwa kuelewa masomo badala ya kunakili msimbo wa suluhisho; hata hivyo msimbo huo unapatikana katika folda za /solutions katika kila somo linalohusiana na mradi. Wazo jingine ni kuunda kikundi cha kujifunza na marafiki na kupitia maudhui pamoja. Kwa masomo zaidi, tunapendekeza [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Wanafunzi](https://aka.ms/student-page)**, kutumia mtaala huu peke yako, fork hifadhi nzima na ukamilishe mazoezi peke yako, ukianza na jaribio la kabla ya somo, kisha kusoma somo na kukamilisha shughuli zingine. Jaribu kuunda miradi kwa kuelewa masomo badala ya kunakili msimbo wa suluhisho; hata hivyo msimbo huo unapatikana katika folda za /solutions katika kila somo linalohusiana na mradi. Wazo jingine ni kuunda kikundi cha kujifunza na marafiki na kupitia maudhui pamoja. Kwa masomo zaidi, tunapendekeza [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
 Kwa muhtasari wa video wa kozi hii, angalia video hii:
 
-[![Video ya promo](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video ya promo")
+[![Video ya Promo](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video ya Promo")
 
 > 🎥 Bonyeza picha hapo juu kwa video kuhusu mradi!
 
 ## Mbinu ya Kufundisha
 
-Tumetumia kanuni mbili za kufundisha wakati wa kuunda mtaala huu: kuhakikisha kuwa ni msingi wa miradi na kwamba inajumuisha maswali ya mara kwa mara. Mwisho wa mfululizo huu, wanafunzi watakuwa wameunda mfumo wa ufuatiliaji na umwagiliaji wa mimea, kifuatiliaji cha gari, mpangilio wa kiwanda mahiri kufuatilia na kukagua chakula, na kipima muda cha kupika kinachodhibitiwa kwa sauti, na watakuwa wamejifunza misingi ya Mtandao wa Vitu ikiwa ni pamoja na jinsi ya kuandika msimbo wa kifaa, kuunganisha na wingu, kuchambua telemetry na kuendesha AI kwenye ukingo.
+Tumetumia kanuni mbili za kufundisha wakati wa kuunda mtaala huu: kuhakikisha kuwa ni wa msingi wa miradi na kwamba unajumuisha maswali ya mara kwa mara. Mwisho wa mfululizo huu, wanafunzi watakuwa wameunda mfumo wa ufuatiliaji na umwagiliaji wa mimea, kifuatiliaji cha gari, mpangilio wa kiwanda mahiri kufuatilia na kukagua chakula, na kipima muda cha kupika kinachodhibitiwa kwa sauti, na watakuwa wamejifunza misingi ya Mtandao wa Vitu ikiwa ni pamoja na jinsi ya kuandika msimbo wa kifaa, kuunganishwa na wingu, kuchambua telemetry na kuendesha AI kwenye ukingo.
 
 Kwa kuhakikisha kuwa maudhui yanalingana na miradi, mchakato unakuwa wa kuvutia zaidi kwa wanafunzi na uhifadhi wa dhana utaongezeka.
 
-Aidha, jaribio la hatari ndogo kabla ya darasa linaweka nia ya mwanafunzi kuelekea kujifunza mada, wakati jaribio la pili baada ya darasa linahakikisha uhifadhi zaidi. Mtaala huu uliundwa kuwa rahisi na wa kufurahisha na unaweza kuchukuliwa kwa ukamilifu au kwa sehemu. Miradi huanza ndogo na kuwa ngumu zaidi mwishoni mwa mzunguko wa wiki 12.
+Zaidi ya hayo, jaribio la hatari ndogo kabla ya darasa linaweka nia ya mwanafunzi kuelekea kujifunza mada, wakati jaribio la pili baada ya darasa linahakikisha uhifadhi zaidi. Mtaala huu uliundwa kuwa rahisi na wa kufurahisha na unaweza kuchukuliwa kwa ukamilifu au kwa sehemu. Miradi huanza kidogo na kuwa ngumu zaidi mwishoni mwa mzunguko wa wiki 12.
 
-Kila mradi unategemea vifaa halisi vinavyopatikana kwa wanafunzi na wapenda teknolojia. Kila mradi huangalia uwanja maalum wa mradi, ukitoa maarifa muhimu ya msingi. Ili kuwa mtengenezaji mwenye mafanikio inasaidia kuelewa uwanja ambao unatatua matatizo, kutoa maarifa haya ya msingi kunawawezesha wanafunzi kufikiria kuhusu suluhisho zao za IoT na masomo katika muktadha wa aina ya tatizo la ulimwengu halisi ambalo wanaweza kuulizwa kutatua kama mtengenezaji wa IoT. Wanafunzi wanajifunza 'kwa nini' ya suluhisho wanazojenga, na kupata uelewa wa mtumiaji wa mwisho.
+Kila mradi unategemea vifaa halisi vinavyopatikana kwa wanafunzi na wapenda teknolojia. Kila mradi unachunguza uwanja maalum wa mradi, ukitoa maarifa muhimu ya msingi. Ili kuwa mtengenezaji mwenye mafanikio inasaidia kuelewa uwanja ambao unatatua matatizo, kutoa maarifa haya ya msingi kunaruhusu wanafunzi kufikiria kuhusu suluhisho zao za IoT na masomo katika muktadha wa aina ya tatizo la ulimwengu halisi ambalo wanaweza kuulizwa kutatua kama mtengenezaji wa IoT. Wanafunzi wanajifunza 'kwa nini' ya suluhisho wanazojenga, na kupata uelewa wa mtumiaji wa mwisho.
 
 ## Vifaa
 
-Tunayo chaguo mbili za vifaa vya IoT vya kutumia kwa miradi kulingana na upendeleo wa kibinafsi, maarifa ya lugha ya programu au mapendeleo, malengo ya kujifunza na upatikanaji. Tumetoa pia toleo la 'vifaa vya virtual' kwa wale ambao hawana ufikiaji wa vifaa, au wanataka kujifunza zaidi kabla ya kununua. Unaweza kusoma zaidi na kupata 'orodha ya ununuzi' kwenye [ukurasa wa vifaa](./hardware.md), ikiwa ni pamoja na viungo vya kununua seti kamili kutoka kwa marafiki wetu katika Seeed Studio.
+Tunayo chaguo mbili za vifaa vya IoT vya kutumia kwa miradi kulingana na upendeleo wa kibinafsi, maarifa ya lugha ya programu au mapendeleo, malengo ya kujifunza na upatikanaji. Tumetoa pia toleo la 'vifaa vya virtual' kwa wale ambao hawana ufikiaji wa vifaa, au wanataka kujifunza zaidi kabla ya kuamua kununua. Unaweza kusoma zaidi na kupata 'orodha ya ununuzi' kwenye [ukurasa wa vifaa](./hardware.md), ikiwa ni pamoja na viungo vya kununua seti kamili kutoka kwa marafiki zetu katika Seeed Studio.
 
 > 💁 Pata [Kanuni za Maadili](CODE_OF_CONDUCT.md), [Kuchangia](CONTRIBUTING.md), na [Mwongozo wa Tafsiri](TRANSLATIONS.md). Tunakaribisha maoni yako ya kujenga!
 
@@ -85,20 +94,19 @@ Tunayo chaguo mbili za vifaa vya IoT vya kutumia kwa miradi kulingana na upendel
 - video ya ziada ya hiari
 - jaribio la kujiandaa kabla ya somo
 - somo lililoandikwa
-- kwa masomo yanayohusiana na mradi, mwongozo wa hatua kwa hatua jinsi ya kujenga mradi
+- kwa masomo yanayohusiana na mradi, mwongozo wa hatua kwa hatua wa jinsi ya kujenga mradi
 - ukaguzi wa maarifa
 - changamoto
 - usomaji wa ziada
 - kazi
 - [jaribio la baada ya somo](https://ff-quizzes.netlify.app/en/)
-
-> **Kumbuka kuhusu maswali**: Maswali yote yamejumuishwa katika folda ya quiz-app, kwa jumla ya maswali 48 ya maswali matatu kila moja. Yameunganishwa kutoka ndani ya masomo lakini programu ya maswali inaweza kuendeshwa ndani au kupelekwa kwa Azure; fuata maelekezo katika folda ya `quiz-app`. Yanatafsiriwa hatua kwa hatua.
+> **Maelezo kuhusu maswali ya mtihani**: Maswali yote ya mtihani yamehifadhiwa kwenye folda ya quiz-app, jumla ya maswali 48 yenye maswali matatu kila moja. Yameunganishwa kutoka ndani ya masomo lakini programu ya mtihani inaweza kuendeshwa kwa ndani au kupelekwa kwenye Azure; fuata maelekezo kwenye folda ya `quiz-app`. Yanatafsiriwa hatua kwa hatua.
 
 ## Masomo
 
 |       |              Jina la Mradi              |                       Dhana Zinazofundishwa                       | Malengo ya Kujifunza                                                                                                                                                 |                                                        Somo Lililounganishwa                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Kuanza](./1-getting-started/README.md) |                     Utangulizi wa IoT                     | Jifunze kanuni za msingi za IoT na vipengele vya msingi vya suluhisho za IoT kama sensa na huduma za wingu huku ukiweka kifaa chako cha kwanza cha IoT |                      [Utangulizi wa IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  01   | [Kuanza](./1-getting-started/README.md) |                     Utangulizi wa IoT                     | Jifunze kanuni za msingi za IoT na vipengele vya msingi vya suluhisho za IoT kama vile sensa na huduma za wingu huku ukiweka kifaa chako cha kwanza cha IoT |                      [Utangulizi wa IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
 |  02   | [Kuanza](./1-getting-started/README.md) |                   Kuchunguza zaidi kuhusu IoT                    | Jifunze zaidi kuhusu vipengele vya mfumo wa IoT, pamoja na microcontrollers na kompyuta za bodi moja                                                            |                        [Kuchunguza zaidi kuhusu IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [Kuanza](./1-getting-started/README.md) | Kuingiliana na ulimwengu wa kimwili kwa sensa na actuators | Jifunze kuhusu sensa za kukusanya data kutoka ulimwengu wa kimwili, na actuators za kutoa maoni, huku ukijenga taa ya usiku                                           | [Kuingiliana na ulimwengu wa kimwili kwa sensa na actuators](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
 |  04   | [Kuanza](./1-getting-started/README.md) |             Unganisha kifaa chako kwenye Intaneti             | Jifunze jinsi ya kuunganisha kifaa cha IoT kwenye Intaneti ili kutuma na kupokea ujumbe kwa kuunganisha taa yako ya usiku kwenye broker ya MQTT                               |               [Unganisha kifaa chako kwenye Intaneti](./1-getting-started/lessons/4-connect-internet/README.md)                |
@@ -110,30 +118,30 @@ Tunayo chaguo mbili za vifaa vya IoT vya kutumia kwa miradi kulingana na upendel
 |  10   |            [Shamba](./2-farm/README.md)            |                   Linda mmea wako                     | Jifunze kuhusu usalama na IoT na jinsi ya kulinda mmea wako kwa kutumia funguo na vyeti                                                                          |                        [Linda mmea wako](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Usafiri](./3-transport/README.md)       |                      Ufuatiliaji wa eneo                      | Jifunze kuhusu ufuatiliaji wa eneo la GPS kwa vifaa vya IoT                                                                                                                   |                           [Ufuatiliaji wa eneo](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [Usafiri](./3-transport/README.md)       |                     Hifadhi data ya eneo                     | Jifunze jinsi ya kuhifadhi data ya IoT ili iweze kuonyeshwa au kuchambuliwa baadaye                                                                                                      |                         [Hifadhi data ya eneo](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Usafiri](./3-transport/README.md)       |                   Onyesha data ya eneo                   | Jifunze kuhusu kuonyesha data ya eneo kwenye ramani, na jinsi ramani zinavyowakilisha ulimwengu halisi wa 3D katika vipimo 2                                                            |                     [Onyesha data ya eneo](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Usafiri](./3-transport/README.md)       |                          Mipaka ya kijiografia                          | Jifunze kuhusu mipaka ya kijiografia, na jinsi zinavyoweza kutumika kutoa tahadhari wakati magari katika mnyororo wa usambazaji yanakaribia marudio yao                                           |                                   [Mipaka ya kijiografia](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Utengenezaji](./4-manufacturing/README.md)   |               Fundisha kifaa cha kugundua ubora wa matunda                | Jifunze kuhusu kufundisha kifaa cha kutambua picha kwenye wingu ili kugundua ubora wa matunda                                                                                       |                 [Fundisha kifaa cha kugundua ubora wa matunda](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Utengenezaji](./4-manufacturing/README.md)   |           Angalia ubora wa matunda kutoka kwa kifaa cha IoT            | Jifunze kuhusu kutumia kifaa chako cha kugundua ubora wa matunda kutoka kwa kifaa cha IoT                                                                                                    |           [Angalia ubora wa matunda kutoka kwa kifaa cha IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Utengenezaji](./4-manufacturing/README.md)   |             Endesha kifaa chako cha kugundua matunda pembezoni             | Jifunze kuhusu kuendesha kifaa chako cha kugundua matunda kwenye kifaa cha IoT pembezoni                                                                                                |             [Endesha kifaa chako cha kugundua matunda pembezoni](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Utengenezaji](./4-manufacturing/README.md)   |        Anzisha kugundua ubora wa matunda kutoka kwa sensa        | Jifunze kuhusu kuanzisha kugundua ubora wa matunda kutoka kwa sensa                                                                                                        |        [Anzisha kugundua ubora wa matunda kutoka kwa sensa](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Rejareja](./5-retail/README.md)          |                   Fundisha kifaa cha kugundua hisa                    | Jifunze jinsi ya kutumia utambuzi wa vitu kufundisha kifaa cha kugundua hisa ili kuhesabu hisa katika duka                                                                                |                        [Fundisha kifaa cha kugundua hisa](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Rejareja](./5-retail/README.md)          |               Angalia hisa kutoka kwa kifaa cha IoT                | Jifunze jinsi ya kuangalia hisa kutoka kwa kifaa cha IoT kwa kutumia mfano wa utambuzi wa vitu                                                                                         |                     [Angalia hisa kutoka kwa kifaa cha IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Mtumiaji](./6-consumer/README.md)        |             Tambua sauti kwa kifaa cha IoT             | Jifunze jinsi ya kutambua sauti kutoka kwa kifaa cha IoT ili kujenga kipima muda chenye akili                                                                                             |                  [Tambua sauti kwa kifaa cha IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  13   |       [Usafiri](./3-transport/README.md)       |                   Onyesha data ya eneo                   | Jifunze kuhusu kuonyesha data ya eneo kwenye ramani, na jinsi ramani zinavyowakilisha ulimwengu halisi wa 3D katika vipimo viwili                                                            |                     [Onyesha data ya eneo](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Usafiri](./3-transport/README.md)       |                          Geofences                          | Jifunze kuhusu geofences, na jinsi zinavyoweza kutumika kutoa tahadhari wakati magari katika mnyororo wa usambazaji yanakaribia marudio yao                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Utengenezaji](./4-manufacturing/README.md)   |               Fundisha detector ya ubora wa matunda                | Jifunze kuhusu kufundisha classifier ya picha kwenye wingu ili kutambua ubora wa matunda                                                                                       |                 [Fundisha detector ya ubora wa matunda](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Utengenezaji](./4-manufacturing/README.md)   |           Angalia ubora wa matunda kutoka kifaa cha IoT            | Jifunze kuhusu kutumia detector yako ya ubora wa matunda kutoka kifaa cha IoT                                                                                                    |           [Angalia ubora wa matunda kutoka kifaa cha IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Utengenezaji](./4-manufacturing/README.md)   |             Endesha detector yako ya matunda kwenye ukingo             | Jifunze kuhusu kuendesha detector yako ya matunda kwenye kifaa cha IoT kwenye ukingo                                                                                                |             [Endesha detector yako ya matunda kwenye ukingo](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Utengenezaji](./4-manufacturing/README.md)   |        Anzisha utambuzi wa ubora wa matunda kutoka sensa        | Jifunze kuhusu kuanzisha utambuzi wa ubora wa matunda kutoka sensa                                                                                                        |        [Anzisha utambuzi wa ubora wa matunda kutoka sensa](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Rejareja](./5-retail/README.md)          |                   Fundisha detector ya hisa                    | Jifunze jinsi ya kutumia utambuzi wa vitu kufundisha detector ya hisa ili kuhesabu hisa katika duka                                                                                |                        [Fundisha detector ya hisa](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Rejareja](./5-retail/README.md)          |               Angalia hisa kutoka kifaa cha IoT                | Jifunze jinsi ya kuangalia hisa kutoka kifaa cha IoT kwa kutumia modeli ya utambuzi wa vitu                                                                                         |                     [Angalia hisa kutoka kifaa cha IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Mtumiaji](./6-consumer/README.md)        |             Tambua sauti kwa kifaa cha IoT             | Jifunze jinsi ya kutambua sauti kutoka kifaa cha IoT ili kujenga kipima muda mahiri                                                                                             |                  [Tambua sauti kwa kifaa cha IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [Mtumiaji](./6-consumer/README.md)        |                     Elewa lugha                     | Jifunze jinsi ya kuelewa sentensi zinazozungumzwa kwa kifaa cha IoT                                                                                                           |                        [Elewa lugha](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Mtumiaji](./6-consumer/README.md)        |           Weka kipima muda na toa maoni ya sauti           | Jifunze jinsi ya kuweka kipima muda kwenye kifaa cha IoT na kutoa maoni ya sauti kuhusu wakati kipima muda kinapowekwa na kinapomalizika                                                    |                 [Weka kipima muda na toa maoni ya sauti](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Mtumiaji](./6-consumer/README.md)        |                 Saidia lugha nyingi                  | Jifunze jinsi ya kusaidia lugha nyingi, zote zinazozungumzwa na majibu kutoka kwa kipima muda chako chenye akili                                                               |                   [Saidia lugha nyingi](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  23   |        [Mtumiaji](./6-consumer/README.md)        |           Weka kipima muda na toa maoni ya sauti           | Jifunze jinsi ya kuweka kipima muda kwenye kifaa cha IoT na kutoa maoni ya sauti kuhusu wakati kipima muda kimewekwa na kinapomalizika                                                    |                 [Weka kipima muda na toa maoni ya sauti](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Mtumiaji](./6-consumer/README.md)        |                 Saidia lugha nyingi                  | Jifunze jinsi ya kusaidia lugha nyingi, zote zinazozungumzwa na majibu kutoka kipima muda chako mahiri                                                               |                   [Saidia lugha nyingi](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Ufikiaji wa nje ya mtandao
 
-Unaweza kuendesha nyaraka hizi nje ya mtandao kwa kutumia [Docsify](https://docsify.js.org/#/). Fork repo hii, [sakinisha Docsify](https://docsify.js.org/#/quickstart) kwenye mashine yako ya ndani, kisha kwenye folda kuu ya repo hii, andika `docsify serve`. Tovuti itahudumiwa kwenye bandari ya 3000 kwenye localhost yako: `localhost:3000`.
+Unaweza kuendesha nyaraka hizi nje ya mtandao kwa kutumia [Docsify](https://docsify.js.org/#/). Fork repo hii, [sakinisha Docsify](https://docsify.js.org/#/quickstart) kwenye mashine yako ya ndani, kisha kwenye folda ya mizizi ya repo hii, andika `docsify serve`. Tovuti itahudumiwa kwenye port 3000 kwenye localhost yako: `localhost:3000`.
 
-## Jaribio
+## Mtihani
 
-Shukrani kwa jamii kwa kuandaa jaribio la maingiliano ambalo linajaribu maarifa yako kuhusu kila sura. Unaweza kujaribu maarifa yako [hapa](https://ff-quizzes.netlify.app/en/) 
+Shukrani kwa jamii kwa kuandaa mtihani wa maingiliano ambao unajaribu maarifa yako kuhusu kila sura. Jaribu maarifa yako [hapa](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Unaweza kutengeneza PDF ya maudhui haya kwa ufikiaji wa nje ya mtandao ikiwa inahitajika. Ili kufanya hivyo, hakikisha una [npm imewekwa](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) na endesha amri zifuatazo kwenye folda kuu ya repo hii:
+Unaweza kutengeneza PDF ya maudhui haya kwa ufikiaji wa nje ya mtandao ikiwa inahitajika. Ili kufanya hivyo, hakikisha una [npm imewekwa](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) na endesha amri zifuatazo kwenye folda ya mizizi ya repo hii:
 
 ```sh
 npm i
@@ -142,51 +150,53 @@ npm run convert
 
 ### Slides
 
-Kuna deki za slaidi kwa baadhi ya masomo katika folda ya [slides](../../slides).
+Kuna deki za slaidi kwa baadhi ya masomo kwenye folda ya [slides](../../slides).
 
 
 ## Mitaala Mingine
 
 Timu yetu inazalisha mitaala mingine! Angalia:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Mawakala
-[![AZD kwa Kompyuta](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI kwa Kompyuta](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP kwa Kompyuta](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Mawakala wa AI kwa Kompyuta](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD kwa Anzishi](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI kwa Anzishi](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP kwa Anzishi](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Mawakala wa AI kwa Anzishi](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Mfululizo wa AI ya Kizazi
-[![AI ya Kizazi kwa Kompyuta](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI ya Kizazi kwa Anzishi](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI ya Kizazi (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![AI ya Kizazi (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![AI ya Kizazi (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Kujifunza Msingi
-[![ML kwa Kompyuta](https://img.shields.io/badge/ML%20kwa%20Kompyuta-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Sayansi ya Takwimu kwa Kompyuta](https://img.shields.io/badge/Sayansi%20ya%20Takwimu%20kwa%20Kompyuta-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI kwa Kompyuta](https://img.shields.io/badge/AI%20kwa%20Kompyuta-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Usalama wa Mtandao kwa Kompyuta](https://img.shields.io/badge/Usalama%20wa%20Mtandao%20kwa%20Kompyuta-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web Dev kwa Kompyuta](https://img.shields.io/badge/Web%20Dev%20kwa%20Kompyuta-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT kwa Kompyuta](https://img.shields.io/badge/IoT%20kwa%20Kompyuta-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Maendeleo ya XR kwa Kompyuta](https://img.shields.io/badge/Maendeleo%20ya%20XR%20kwa%20Kompyuta-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML kwa Kompyuta](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Sayansi ya Takwimu kwa Kompyuta](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI kwa Kompyuta](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Usalama wa Mtandao kwa Kompyuta](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Uendelezaji wa Wavuti kwa Kompyuta](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT kwa Kompyuta](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Uendelezaji wa XR kwa Kompyuta](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Mfululizo wa Copilot  
-[![Copilot kwa Uandishi wa Programu kwa AI](https://img.shields.io/badge/Copilot%20kwa%20Uandishi%20wa%20Programu%20kwa%20AI-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot kwa C#/.NET](https://img.shields.io/badge/Copilot%20kwa%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Mfululizo wa Copilot
+[![Copilot kwa Uprogramu wa Pamoja wa AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot kwa C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- MWISHO WA KOZI NYINGINE ZA CO-OP TRANSLATOR -->
 
-## Utoaji wa picha  
+## Utoaji wa Picha
 
-Unaweza kupata maelezo yote ya picha zilizotumika katika mtaala huu pale inapohitajika kwenye [Utoaji](./attributions.md).  
+Unaweza kupata maelezo yote ya picha zilizotumika katika mtaala huu pale inapohitajika kwenye [Utoaji](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Kanusho**:  
-Hati hii imetafsiriwa kwa kutumia huduma ya kutafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kwa usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwa sahihi. Hati ya asili katika lugha yake ya awali inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu ya binadamu inapendekezwa. Hatutawajibika kwa kutoelewana au tafsiri zisizo sahihi zinazotokana na matumizi ya tafsiri hii.
\ No newline at end of file
+Hati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kwa usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwa sahihi. Hati ya asili katika lugha yake ya awali inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu ya kibinadamu inapendekezwa. Hatutawajibika kwa kutoelewana au tafsiri zisizo sahihi zinazotokana na matumizi ya tafsiri hii.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ta/README.md b/translations/ta/README.md
index 86c1a8207..308bb01ab 100644
--- a/translations/ta/README.md
+++ b/translations/ta/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
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-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:30:48+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:16:30+00:00",
   "source_file": "README.md",
   "language_code": "ta"
 }
@@ -18,34 +18,42 @@ CO_OP_TRANSLATOR_METADATA:
 [![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### Azure AI Foundry சமூகத்தில் சேருங்கள் 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-இந்த வளங்களைப் பயன்படுத்தத் தொடங்க கீழே உள்ள படிகளைப் பின்பற்றவும்:
-1. **Repository-ஐ Fork செய்யவும்**: [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork) கிளிக் செய்யவும்
+AI பயன்பாடுகளை உருவாக்குவதில் சிக்கலாக இருந்தால் அல்லது கேள்விகள் இருந்தால், MCP பற்றிய விவாதங்களில் மற்ற பயிற்சியாளர்கள் மற்றும் அனுபவமுள்ள டெவலப்பர்களுடன் சேருங்கள். இது கேள்விகளை வரவேற்கும் மற்றும் அறிவை இலவசமாகப் பகிரும் ஆதரவான சமூகமாகும்.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+தயாரிப்பு கருத்துகள் அல்லது கட்டமைப்பில் பிழைகள் இருந்தால், கீழே செல்லவும்:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+இந்த வளங்களை பயன்படுத்த தொடங்குவதற்கான படிகள்:
+1. **Repository-ஐ Fork செய்யவும்**: கிளிக் செய்யவும் [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **Repository-ஐ Clone செய்யவும்**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord-இல் சேர்ந்து நிபுணர்களையும் மற்ற டெவலப்பர்களையும் சந்திக்கவும்**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Microsoft Foundry Discord-இல் சேர்ந்து நிபுணர்களையும் மற்ற டெவலப்பர்களையும் சந்திக்கவும்**](https://discord.com/invite/ByRwuEEgH4)
+
 
 ### 🌐 பல மொழி ஆதரவு
 
 #### GitHub Action மூலம் ஆதரவு (தானியங்கி மற்றும் எப்போதும் புதுப்பிக்கப்பட்டது)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](./README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](./README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT for Beginners - ஒரு பாடத்திட்டம்
 
-Microsoft-இல் Azure Cloud Advocates, IoT அடிப்படைகள் பற்றிய 12 வாரங்கள், 24 பாடங்கள் கொண்ட பாடத்திட்டத்தை வழங்குவதில் மகிழ்ச்சி அடைகின்றனர். ஒவ்வொரு பாடமும் பாடத்திற்கு முன் மற்றும் பின் வினாடி வினா, பாடத்தை முடிக்க எழுதப்பட்ட வழிமுறைகள், ஒரு தீர்வு, ஒரு பணிக்கூற்று மற்றும் பலவற்றை உள்ளடக்கியது. எங்கள் திட்ட அடிப்படையிலான கற்பித்தல் முறைகள் புதிய திறன்களை 'நினைவில் வைத்துக்கொள்ள' கட்டமைக்க அனுமதிக்கும்.
+Microsoft-இல் Azure Cloud Advocates 12 வாரங்கள், 24 பாடங்கள் கொண்ட IoT அடிப்படைகள் பற்றிய பாடத்திட்டத்தை வழங்குவதில் மகிழ்ச்சி அடைகின்றனர். ஒவ்வொரு பாடமும் பாடத்திற்கு முன் மற்றும் பின் வினாடி வினாக்கள், பாடத்தை முடிக்க எழுதப்பட்ட வழிமுறைகள், ஒரு தீர்வு, ஒரு பணிக்கூற்று மற்றும் பலவற்றை உள்ளடக்கியது. எங்கள் திட்ட அடிப்படையிலான கற்பித்தல் முறைகள் புதிய திறன்களை 'நினைவில் நிறுத்த' கட்டமைப்பதற்கான நிரூபிக்கப்பட்ட வழியாக உங்களை கட்டமைக்க அனுமதிக்கின்றன.
 
-இந்த திட்டங்கள் விவசாயம் முதல் உணவகம் வரை உணவின் பயணத்தை உள்ளடக்கியவை. இதில் விவசாயம், லாஜிஸ்டிக்ஸ், உற்பத்தி, சில்லறை மற்றும் நுகர்வோர் ஆகியவை - IoT சாதனங்களுக்கான பிரபலமான தொழில்துறை பகுதிகள்.
+இந்த திட்டங்கள் உணவின் பயணத்தை பண்ணையிலிருந்து மேசை வரை உள்ளடக்குகின்றன. இதில் விவசாயம், லாஜிஸ்டிக்ஸ், உற்பத்தி, சில்லறை மற்றும் நுகர்வோர் ஆகியவை - IoT சாதனங்களுக்கான பிரபலமான தொழில்துறை பகுதிகள்.
 
-![விவசாயம், போக்குவரத்து, செயலாக்கம், சில்லறை மற்றும் சமையல் ஆகியவற்றை உள்ளடக்கிய 24 பாடங்களை காட்டும் பாடத்திட்டத்திற்கான சாலை வரைபடம்](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ta.jpg)
+![இந்த பாடத்திட்டத்திற்கான சாலை வரைபடம், அறிமுகம், விவசாயம், போக்குவரத்து, செயலாக்கம், சில்லறை மற்றும் சமையல் ஆகியவற்றை உள்ளடக்கிய 24 பாடங்களை காட்டுகிறது](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ta.jpg)
 
-> [நித்யா நரசிம்மன்](https://github.com/nitya) உருவாக்கிய ஸ்கெட்ச். படத்தை கிளிக் செய்து பெரிய பதிப்பைப் பாருங்கள்.
+> [நித்யா நரசிம்மன்](https://github.com/nitya) உருவாக்கிய ஸ்கெட்ச் குறிப்பு. பெரிய பதிப்பிற்கான படத்தை கிளிக் செய்யவும்.
 
-**எங்கள் ஆசிரியர்கள் [ஜென் ஃபாக்ஸ்](https://github.com/jenfoxbot), [ஜென் லூப்பர்](https://github.com/jlooper), [ஜிம் பென்னட்](https://github.com/jimbobbennett), மற்றும் எங்கள் ஸ்கெட்ச் கலைஞர் [நித்யா நரசிம்மன்](https://github.com/nitya) ஆகியோருக்கு மனமார்ந்த நன்றி.**
+**எங்கள் ஆசிரியர்கள் [ஜென் ஃபாக்ஸ்](https://github.com/jenfoxbot), [ஜென் லூப்பர்](https://github.com/jlooper), [ஜிம் பென்னட்](https://github.com/jimbobbennett), மற்றும் எங்கள் ஸ்கெட்ச் குறிப்பு கலைஞர் [நித்யா நரசிம்மன்](https://github.com/nitya) ஆகியோருக்கு மனமார்ந்த நன்றி.**
 
-**மேலும், இந்த பாடத்திட்டத்தை மதிப்பாய்வு செய்து மொழிபெயர்க்கும் Microsoft Learn மாணவர் தூதர்கள் குழுவிற்கு நன்றி - [அதித்யா கார்க்](https://github.com/AdityaGarg00), [அனுராக் ஷர்மா](https://github.com/Anurag-0-1-A), [அர்பிதா தாஸ்](https://github.com/Arpiiitaaa), [ஆர்யன் ஜெயின்](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [பவேஷ் சுனேஜா](https://github.com/EliteWarrior315), [ஃபெய்த் ஹுஞ்ஜா](https://faithhunja.github.io/), [லதீஃபா பெல்லோ](https://www.linkedin.com/in/lateefah-bello/), [மன்வி ஜா](https://github.com/Severus-Matthew), [மிரெய்ல் டான்](https://www.linkedin.com/in/mireille-tan-a4834819a/), [மொஹம்மது இஃப்தேகர் (இஃப்டு) எப்னே ஜலால்](https://github.com/Iftu119), [மொஹம்மது ஜுல்ஃபிகார்](https://github.com/mohzulfikar), [பிரியன்ஷு ஸ்ரீவஸ்தவ்](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [தன்மை கவுடுச்செருவு](https://github.com/innovation-platform), மற்றும் [ஜினா கமெல்](https://www.linkedin.com/in/zina-kamel/).**
+**மேலும், இந்த பாடத்திட்டத்தை மதிப்பாய்வு செய்து மொழிபெயர்க்கும் Microsoft Learn மாணவர் தூதர்கள் குழுவிற்கு நன்றி - [அதித்யா கார்க்](https://github.com/AdityaGarg00), [அனுராக் ஷர்மா](https://github.com/Anurag-0-1-A), [அர்பிதா தாஸ்](https://github.com/Arpiiitaaa), [ஆர்யன் ஜெயின்](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [பவேஷ் சுனேஜா](https://github.com/EliteWarrior315), [ஃபெய்த் ஹுஞ்ஜா](https://faithhunja.github.io/), [லதீஃபா பெல்லோ](https://www.linkedin.com/in/lateefah-bello/), [மன்வி ஜா](https://github.com/Severus-Matthew), [மிரெய்ல் டான்](https://www.linkedin.com/in/mireille-tan-a4834819a/), [மொஹம்மது இஃப்தேகர் (இஃப்டு) எப்னே ஜலால்](https://github.com/Iftu119), [மொஹம்மது ஜுல்ஃபிகார்](https://github.com/mohzulfikar), [பிரியான்ஷு ஸ்ரீவஸ்தவ்](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [தன்மை கவுடுசெருவு](https://github.com/innovation-platform), மற்றும் [ஜினா கமெல்](https://www.linkedin.com/in/zina-kamel/).**
 
 குழுவை சந்திக்கவும்!
 
@@ -57,9 +65,9 @@ Microsoft-இல் Azure Cloud Advocates, IoT அடிப்படைகள்
 
 > **ஆசிரியர்கள்**, இந்த பாடத்திட்டத்தை எப்படி பயன்படுத்துவது என்பதற்கான [சில பரிந்துரைகளை](for-teachers.md) சேர்த்துள்ளோம். உங்கள் சொந்த பாடங்களை உருவாக்க விரும்பினால், [பாடம் டெம்ப்ளேட்](lesson-template/README.md) ஒன்றையும் சேர்த்துள்ளோம்.
 
-> **[மாணவர்கள்](https://aka.ms/student-page)**, இந்த பாடத்திட்டத்தை தனியாக பயன்படுத்த, முழு ரெப்போவை Fork செய்து, உங்கள் சொந்த முயற்சியில் பயிற்சிகளை முடிக்கவும். ஒரு முன்-வகுப்பு வினாடி வினாவுடன் தொடங்கவும், பின்னர் வகுப்பை படித்து மற்ற செயல்பாடுகளை முடிக்கவும். பாடங்களைப் புரிந்து கொண்டு திட்டங்களை உருவாக்க முயற்சிக்கவும், தீர்வு குறியீட்டை நகலெடுப்பதை தவிர்க்கவும்; எனினும், அந்த குறியீடு ஒவ்வொரு திட்டம் சார்ந்த பாடத்திட்டத்தின் /solutions கோப்புறைகளில் கிடைக்கிறது. மேலும் படிக்க, [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) பரிந்துரைக்கப்படுகிறது.
+> **[மாணவர்கள்](https://aka.ms/student-page)**, இந்த பாடத்திட்டத்தை தனியாக பயன்படுத்த, முழு ரெப்போவை fork செய்து, உங்கள் சொந்த முயற்சியில் பயிற்சிகளை முடிக்கவும். ஒரு முன்-வினாடி வினாவுடன் தொடங்கி, பின்னர் பாடத்தை படித்து, மற்ற செயல்பாடுகளை முடிக்கவும். தீர்வு குறியீட்டை நகலெடுப்பதற்குப் பதிலாக பாடங்களை புரிந்து திட்டங்களை உருவாக்க முயற்சிக்கவும்; ஆனால் அந்த குறியீடு ஒவ்வொரு திட்ட-அடிப்படையிலான பாடத்தில் /solutions கோப்புறைகளில் கிடைக்கிறது. மற்றொரு யோசனை உங்கள் நண்பர்களுடன் ஒரு படிப்பு குழுவை உருவாக்கி, உள்ளடக்கத்தை ஒன்றாகப் பாருங்கள். மேலும் படிப்பதற்காக, [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) பரிந்துரைக்கிறோம்.
 
-இந்த பாடத்திட்டத்தின் வீடியோ கண்ணோட்டத்தைக் காண, இந்த வீடியோவைப் பாருங்கள்:
+இந்த பாடத்திட்டத்தின் வீடியோ ஒட்டுமொத்தத்தைப் பார்க்க, இந்த வீடியோவைச் சரிபார்க்கவும்:
 
 [![விளம்பர வீடியோ](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
 
@@ -67,75 +75,74 @@ Microsoft-இல் Azure Cloud Advocates, IoT அடிப்படைகள்
 
 ## கற்பித்தல் முறை
 
-இந்த பாடத்திட்டத்தை உருவாக்கும்போது, இரண்டு முக்கியமான கற்பித்தல் முறைகளை தேர்ந்தெடுத்துள்ளோம்: இது திட்ட அடிப்படையிலானது என்பதை உறுதிப்படுத்துதல் மற்றும் அடிக்கடி வினாடி வினாக்களை உள்ளடக்குதல். இந்த தொடர் முடிவடையும் போது, மாணவர்கள் ஒரு செடி கண்காணிப்பு மற்றும் நீர்ப்பாசன அமைப்பு, ஒரு வாகன கண்காணிப்பு, உணவை கண்காணிக்க மற்றும் சரிபார்க்க ஒரு புத்திசாலி தொழிற்சாலை அமைப்பு மற்றும் ஒரு குரல் கட்டுப்பாட்டில் இயங்கும் சமையல் டைமரை உருவாக்கியிருப்பார்கள். மேலும், IoT அடிப்படைகள், சாதன குறியீடு எழுதுவது, மேகத்துடன் இணைப்பது, டெலிமெட்ரியை பகுப்பாய்வு செய்வது மற்றும் எட்ஜில் AI இயக்குவது ஆகியவற்றை கற்றுக்கொள்வார்கள்.
+இந்த பாடத்திட்டத்தை உருவாக்கும்போது, இரண்டு முக்கியமான கற்பித்தல் முறைகளை தேர்ந்தெடுத்துள்ளோம்: இது திட்ட அடிப்படையிலானது மற்றும் அடிக்கடி வினாடி வினாக்களை உள்ளடக்கியது என்பதை உறுதிப்படுத்துதல். இந்த தொடர் முடிவடையும் போது, மாணவர்கள் ஒரு செடி கண்காணிப்பு மற்றும் நீர்ப்பாசன அமைப்பு, ஒரு வாகன கண்காணிப்பு, உணவை கண்காணிக்க மற்றும் சரிபார்க்க ஒரு சாமார்த்தியமான தொழிற்சாலை அமைப்பு மற்றும் ஒரு குரல்-கட்டுப்படுத்தப்பட்ட சமையல் டைமரை உருவாக்கியிருப்பார்கள். மேலும், IoT அடிப்படைகள், சாதன குறியீட்டை எழுதுவது, மேகத்துடன் இணைப்பது, டெலிமெட்ரியை பகுப்பாய்வு செய்வது மற்றும் எட்ஜில் AI இயக்குவது ஆகியவற்றை கற்றுக்கொண்டிருப்பார்கள்.
 
-திட்டங்களுடன் உள்ளடக்கம் ஒத்துப்போகும் வகையில் உறுதிசெய்வதன் மூலம், மாணவர்களுக்கு இந்த செயல்முறை மேலும் ஈர்க்கக்கூடியதாக மாறுகிறது மற்றும் கருத்துக்களின் நினைவாற்றல் அதிகரிக்கப்படும்.
+உள்ளடக்கம் திட்டங்களுடன் ஒத்துப்போகும் வகையில் உறுதிப்படுத்துவதன் மூலம், மாணவர்களுக்கு செயல்முறை மேலும் ஈர்க்கக்கூடியதாக மாறுகிறது மற்றும் கருத்துக்களின் நினைவாற்றல் அதிகரிக்கப்படும்.
 
-மேலும், வகுப்புக்கு முன் ஒரு குறைந்த அழுத்த வினாடி வினா மாணவரின் கவனத்தை ஒரு தலைப்பை கற்கும் நோக்கத்தில் அமைக்கிறது, வகுப்புக்குப் பிறகு ஒரு இரண்டாவது வினாடி வினா மேலும் நினைவாற்றலை உறுதிப்படுத்துகிறது. இந்த பாடத்திட்டம் நெகிழ்வான மற்றும் மகிழ்ச்சியானதாக வடிவமைக்கப்பட்டுள்ளது மற்றும் முழுமையாக அல்லது பகுதியளவில் எடுத்துக்கொள்ளலாம். 12 வார சுழற்சியின் இறுதியில் திட்டங்கள் சிறியதாக தொடங்கி, அதிகமாக சிக்கலானதாக மாறுகின்றன.
+மேலும், ஒரு வகுப்புக்கு முன் குறைந்த-அழுத்த வினாடி வினா, ஒரு தலைப்பை கற்க மாணவரின் நோக்கத்தை அமைக்கிறது, ஒரு வகுப்புக்குப் பிறகு இரண்டாவது வினாடி வினா மேலும் நினைவாற்றலை உறுதிப்படுத்துகிறது. இந்த பாடத்திட்டம் நெகிழ்வான மற்றும் மகிழ்ச்சியானதாக வடிவமைக்கப்பட்டது மற்றும் முழுமையாக அல்லது பகுதியளவில் எடுத்துக்கொள்ளலாம். 12 வார சுழற்சியின் இறுதியில் திட்டங்கள் சிறியதாக தொடங்கி, அதிகமாக சிக்கலானதாக மாறுகின்றன.
 
-ஒவ்வொரு திட்டமும் மாணவர்களுக்கும் ஆர்வலர்களுக்கும் கிடைக்கும் உண்மையான உலக ஹார்ட்வேரை அடிப்படையாகக் கொண்டது. ஒவ்வொரு திட்டமும் குறிப்பிட்ட திட்ட துறையை ஆராய்கிறது, தொடர்புடைய பின்னணி அறிவை வழங்குகிறது. ஒரு வெற்றிகரமான டெவலப்பராக இருக்க, நீங்கள் பிரச்சினைகளை தீர்க்கும் துறையைப் புரிந்துகொள்வது உதவுகிறது. இந்த பின்னணி அறிவை வழங்குவது மாணவர்கள் IoT தீர்வுகள் மற்றும் கற்றல்களை IoT டெவலப்பராக கேட்கப்படும் வகையான உண்மையான உலக பிரச்சினையின் சூழலில் சிந்திக்க அனுமதிக்கிறது. மாணவர்கள் அவர்கள் உருவாக்கும் தீர்வுகளின் 'ஏன்' என்பதை கற்றுக்கொள்கிறார்கள் மற்றும் இறுதி பயனர் பற்றிய பாராட்டை பெறுகிறார்கள்.
+ஒவ்வொரு திட்டமும் மாணவர்களுக்கு மற்றும் பொழுதுபோக்கு ஆர்வலர்களுக்கு கிடைக்கும் உண்மையான உலக ஹார்ட்வேரை அடிப்படையாகக் கொண்டது. ஒவ்வொரு திட்டமும் குறிப்பிட்ட திட்ட துறையை ஆராய்கிறது, தொடர்புடைய பின்னணி அறிவை வழங்குகிறது. ஒரு வெற்றிகரமான டெவலப்பராக இருக்க, நீங்கள் பிரச்சினைகளை தீர்க்கும் துறையைப் புரிந்துகொள்வது உதவுகிறது. இந்த பின்னணி அறிவை வழங்குவது, மாணவர்கள் IoT தீர்வுகள் மற்றும் கற்றல்களை IoT டெவலப்பராக அவர்கள் தீர்க்க வேண்டிய உண்மையான உலக பிரச்சினையின் சூழலில் சிந்திக்க அனுமதிக்கிறது. மாணவர்கள் அவர்கள் உருவாக்கும் தீர்வுகளின் 'ஏன்' என்பதை கற்றுக்கொள்கிறார்கள் மற்றும் இறுதி பயனர் பற்றிய பார்வையைப் பெறுகிறார்கள்.
 
 ## ஹார்ட்வேர்கள்
 
-தனிப்பட்ட விருப்பம், நிரலாக்க மொழி அறிவு அல்லது விருப்பங்கள், கற்றல் இலக்குகள் மற்றும் கிடைக்கும் நிலை ஆகியவற்றின் அடிப்படையில், திட்டங்களுக்கு பயன்படுத்த IoT ஹார்ட்வேரின் இரண்டு தேர்வுகள் உள்ளன. ஹார்ட்வேரை அணுக முடியாதவர்கள் அல்லது வாங்குவதற்கு முன் மேலும் கற்றுக்கொள்ள விரும்புபவர்கள் ஆகியோருக்கு 'மெய்நிகர் ஹார்ட்வேரின்' பதிப்பை வழங்கியுள்ளோம். [ஹார்ட்வேர பக்கம்](./hardware.md) மேலும் படிக்கவும் மற்றும் எங்கள் நண்பர்கள் Seeed Studio-விலிருந்து முழு கிட்களை வாங்க இணைப்புகளைப் பெறவும்.
+திட்டங்களுக்கு IoT ஹார்ட்வேரை பயன்படுத்த இரண்டு தேர்வுகள் உள்ளன, இது தனிப்பட்ட விருப்பம், நிரலாக்க மொழி அறிவு அல்லது விருப்பங்கள், கற்றல் இலக்குகள் மற்றும் கிடைக்கும் தன்மை ஆகியவற்றை அடிப்படையாகக் கொண்டது. ஹார்ட்வேர அணுகல் இல்லாதவர்களுக்கு அல்லது வாங்குவதற்கு முன் மேலும் கற்றுக்கொள்ள விரும்புவோருக்கு 'மெய்நிகர் ஹார்ட்வேரை' வழங்கியுள்ளோம். [ஹார்ட்வேர பக்கம்](./hardware.md) மேலும் படிக்கவும் மற்றும் 'ஷாப்பிங் லிஸ்ட்' ஒன்றைத் தேடவும், Seeed Studio நண்பர்களிடமிருந்து முழு கிட் வாங்க இணைப்புகள் உள்ளன.
 
 > 💁 எங்கள் [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), மற்றும் [Translation](TRANSLATIONS.md) வழிகாட்டுதல்களைப் பாருங்கள். உங்கள் கட்டமைப்பான கருத்துகளை வரவேற்கிறோம்!
 
 ## ஒவ்வொரு பாடமும் உள்ளடக்குகிறது:
 
-- ஸ்கெட்ச்
+- ஸ்கெட்ச் குறிப்பு
 - விருப்பเสர்க்க வீடியோ
-- வகுப்புக்கு முன் வினாடி வினா
+- பாடத்திற்கு முன் வினாடி வினா
 - எழுதப்பட்ட பாடம்
-- திட்ட அடிப்படையிலான பாடங்களுக்கு, திட்டத்தை உருவாக்குவதற்கான படிப்படையான வழிகாட்டுதல்கள்
+- திட்ட அடிப்படையிலான பாடங்களுக்கு, திட்டத்தை உருவாக்குவதற்கான படி படி வழிகாட்டுதல்கள்
 - அறிவு சரிபார்ப்புகள்
 - ஒரு சவால்
-- கூடுதல் வாசிப்பு
+-เสர்க்க வாசிப்பு
 - பணிக்கூற்று
-- [வகுப்புக்குப் பின் வினாடி வினா](https://ff-quizzes.netlify.app/en/)
-
-> **வினாடி வினா குறிப்பு**: அனைத்து வினாடி வினாக்களும் quiz-app கோப்புறையில் உள்ளன, ஒவ்வொன்றும் மூன்று கேள்விகள் கொண்ட 48 மொத்த வினாடி வினாக்கள். அவை பாடங்களுக்குள் இணைக்கப்பட்டுள்ளன, ஆனால் quiz app-ஐ உள்ளூர் அல்லது Azure-க்கு வெளியிடலாம்; `quiz-app` கோப்புறையில் உள்ள வழிமுறைகளைப் பின்பற்றவும். அவை படிப்படியாக உள்ளூர்மயமாக்கப்படுகின்றன.
+- [பாடத்திற்குப் பின் வினாடி வினா](https://ff-quizzes.netlify.app/en/)
+> **க்விஸ் பற்றிய ஒரு குறிப்பு**: அனைத்து க்விஸ்களும் quiz-app கோப்புறையில் உள்ளன, ஒவ்வொன்றும் மூன்று கேள்விகளுடன் மொத்தம் 48 க்விஸ்கள் உள்ளன. அவை பாடங்களில் இருந்து இணைக்கப்பட்டுள்ளன, ஆனால் quiz app-ஐ உள்ளூரில் இயக்கவோ அல்லது Azure-ல் வெளியிடவோ முடியும்; `quiz-app` கோப்புறையில் உள்ள வழிமுறைகளை பின்பற்றவும். அவை படிப்படியாக உள்ளூர்மயமாக்கப்படுகின்றன.
 
 ## பாடங்கள்
 
-|       |              திட்டத்தின் பெயர்              |                       கற்றுக்கொடுக்கப்படும் கருத்துக்கள்                       | கற்றல் நோக்கங்கள்                                                                                                                                                 |                                                        இணைக்கப்பட்ட பாடம்                                                         |
+|       |              திட்டத்தின் பெயர்              |                       கற்றல் கருத்துக்கள்                       | கற்றல் நோக்கங்கள்                                                                                                                                                 |                                                        இணைக்கப்பட்ட பாடம்                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [தொடக்கம்](./1-getting-started/README.md) |                     IoT அறிமுகம்                     | IoT அடிப்படை கொள்கைகள் மற்றும் சென்சார்கள், கிளவுட் சேவைகள் போன்ற IoT தீர்வுகளின் அடிப்படை கட்டமைப்புகளைப் பற்றி அறிந்து, உங்கள் முதல் IoT சாதனத்தை அமைக்கவும் |                      [IoT அறிமுகம்](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [தொடக்கம்](./1-getting-started/README.md) |                   IoT பற்றி ஆழமாக அறிதல்                    | IoT அமைப்பின் கூறுகள், மைக்ரோகண்ட்ரோலர்கள் மற்றும் சிங்கிள்-போர்டு கணினிகள் பற்றிய மேலும் தகவல்களை அறிக                                                            |                        [IoT பற்றி ஆழமாக அறிதல்](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [தொடக்கம்](./1-getting-started/README.md) | சென்சார்கள் மற்றும் ஆக்டுவேட்டர்களுடன் உடலியல் உலகத்துடன் தொடர்பு கொள்ளுங்கள் | உடலியல் உலகத்திலிருந்து தரவை சேகரிக்க சென்சார்கள் மற்றும் பின்னூட்டத்தை அனுப்ப ஆக்டுவேட்டர்களைப் பற்றி அறிந்து, ஒரு நைட்லைட் உருவாக்குங்கள்                                           | [சென்சார்கள் மற்றும் ஆக்டுவேட்டர்களுடன் உடலியல் உலகத்துடன் தொடர்பு கொள்ளுங்கள்](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [தொடக்கம்](./1-getting-started/README.md) |             உங்கள் சாதனத்தை இணையத்துடன் இணைக்கவும்             | IoT சாதனத்தை இணையத்துடன் இணைத்து செய்திகளை அனுப்பவும் பெறவும் எப்படி என்பதைப் பற்றி அறிந்து, உங்கள் நைட்லைட்டை MQTT ப்ரோக்கருடன் இணைக்கவும்                               |               [உங்கள் சாதனத்தை இணையத்துடன் இணைக்கவும்](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [விவசாயம்](./2-farm/README.md)            |                    செடிகளின் வளர்ச்சியை கணிக்கவும்                     | IoT சாதனத்தால் பிடிக்கப்பட்ட வெப்பநிலை தரவுகளைப் பயன்படுத்தி செடிகளின் வளர்ச்சியை கணிக்க எப்படி என்பதைப் பற்றி அறிக                                                                                  |                          [செடிகளின் வளர்ச்சியை கணிக்கவும்](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [விவசாயம்](./2-farm/README.md)            |                    மண் ஈரப்பதத்தை கண்டறியவும்                     | மண் ஈரப்பதத்தை கண்டறியவும் மற்றும் மண் ஈரப்பதம் சென்சாரை சரிசெய்யவும் எப்படி என்பதைப் பற்றி அறிக                                                                                              |                          [மண் ஈரப்பதத்தை கண்டறியவும்](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [விவசாயம்](./2-farm/README.md)            |                  தானியங்கி செடி நீர்ப்பாசனம்                   | ரிலே மற்றும் MQTT பயன்படுத்தி நீர்ப்பாசனத்தை தானியக்கமாகவும் நேரமிடவும் எப்படி என்பதைப் பற்றி அறிக                                                                                                      |                      [தானியங்கி செடி நீர்ப்பாசனம்](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [விவசாயம்](./2-farm/README.md)            |               உங்கள் செடியை கிளவுடுக்கு மாற்றவும்               | கிளவுட் மற்றும் கிளவுட்-ஹோஸ்டட் IoT சேவைகள் பற்றிய தகவல்களைப் பற்றி அறிந்து, உங்கள் செடியை பொதுவான MQTT ப்ரோக்கருக்கு பதிலாக இதற்கு இணைக்கவும்                                   |               [உங்கள் செடியை கிளவுடுக்கு மாற்றவும்](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [விவசாயம்](./2-farm/README.md)            |         உங்கள் பயன்பாட்டு லாஜிக் கிளவுடுக்கு மாற்றவும்         | IoT செய்திகளுக்கு பதிலளிக்கும் வகையில் கிளவுடில் பயன்பாட்டு லாஜிக் எழுத எப்படி என்பதைப் பற்றி அறிக                                                                          |         [உங்கள் பயன்பாட்டு லாஜிக் கிளவுடுக்கு மாற்றவும்](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [விவசாயம்](./2-farm/README.md)            |                   உங்கள் செடியை பாதுகாக்கவும்                    | IoT பாதுகாப்பு மற்றும் உங்கள் செடியை கீக்கள் மற்றும் சான்றிதழ்களுடன் பாதுகாக்க எப்படி என்பதைப் பற்றி அறிக                                                                          |                        [உங்கள் செடியை பாதுகாக்கவும்](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [போக்குவரத்து](./3-transport/README.md)       |                      இடம் கண்காணிப்பு                      | IoT சாதனங்களுக்கான GPS இடம் கண்காணிப்பு பற்றிய தகவல்களைப் பற்றி அறிக                                                                                                                   |                           [இடம் கண்காணிப்பு](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [போக்குவரத்து](./3-transport/README.md)       |                     இடம் தரவை சேமிக்கவும்                     | IoT தரவை சேமித்து பின்னர் காட்சிப்படுத்தவும் அல்லது பகுப்பாய்வு செய்யவும் எப்படி என்பதைப் பற்றி அறிக                                                                                                      |                         [இடம் தரவை சேமிக்கவும்](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [போக்குவரத்து](./3-transport/README.md)       |                   இடம் தரவை காட்சிப்படுத்தவும்                   | இடம் தரவை ஒரு வரைபடத்தில் காட்சிப்படுத்தவும், மற்றும் 3D உலகத்தை 2D வரைபடத்தில் எப்படி பிரதிநிதித்துவம் செய்கிறது என்பதைப் பற்றி அறிக                                                            |                     [இடம் தரவை காட்சிப்படுத்தவும்](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [போக்குவரத்து](./3-transport/README.md)       |                          ஜியோஃபென்சுகள்                          | ஜியோஃபென்சுகள் பற்றிய தகவல்களைப் பற்றி அறிந்து, சப்ளை சேனில் வாகனங்கள் தங்கள் இலக்கத்திற்கு அருகில் உள்ளனவா என்பதை எச்சரிக்க பயன்படுத்த எப்படி என்பதைப் பற்றி அறிக                                           |                                   [ஜியோஃபென்சுகள்](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [தயாரிப்பு](./4-manufacturing/README.md)   |               பழத்தின் தரத்தை கண்டறியும் டிடெக்டர் பயிற்சி                | கிளவுடில் ஒரு படத்தை வகைப்படுத்தி பழத்தின் தரத்தை கண்டறிய பயிற்சி செய்ய எப்படி என்பதைப் பற்றி அறிக                                                                                       |                 [பழத்தின் தரத்தை கண்டறியும் டிடெக்டர் பயிற்சி](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [தயாரிப்பு](./4-manufacturing/README.md)   |           IoT சாதனத்திலிருந்து பழத்தின் தரத்தை சரிபார்க்கவும்            | IoT சாதனத்திலிருந்து உங்கள் பழத்தின் தரத்தை கண்டறியும் டிடெக்டரை பயன்படுத்த எப்படி என்பதைப் பற்றி அறிக                                                                                                    |           [IoT சாதனத்திலிருந்து பழத்தின் தரத்தை சரிபார்க்கவும்](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [தயாரிப்பு](./4-manufacturing/README.md)   |             உங்கள் பழ டிடெக்டரை எட்ஜில் இயக்கவும்             | IoT சாதனத்தில் உங்கள் பழ டிடெக்டரை எட்ஜில் இயக்க எப்படி என்பதைப் பற்றி அறிக                                                                                                |             [உங்கள் பழ டிடெக்டரை எட்ஜில் இயக்கவும்](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [தயாரிப்பு](./4-manufacturing/README.md)   |        சென்சாரிலிருந்து பழத்தின் தரத்தை கண்டறிதல் தொடங்கவும்        | சென்சாரிலிருந்து பழத்தின் தரத்தை கண்டறிதல் தொடங்க எப்படி என்பதைப் பற்றி அறிக                                                                                                        |        [சென்சாரிலிருந்து பழத்தின் தரத்தை கண்டறிதல் தொடங்கவும்](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [சில்லறை](./5-retail/README.md)          |                   பங்கு டிடெக்டரை பயிற்சி                    | கடையில் பங்குகளை எண்ணுவதற்கு ஒரு பொருள் கண்டறிதல் முறைமையைப் பயன்படுத்த பங்கு டிடெக்டரை பயிற்சி செய்ய எப்படி என்பதைப் பற்றி அறிக                                                                                |                        [பங்கு டிடெக்டரை பயிற்சி](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [சில்லறை](./5-retail/README.md)          |               IoT சாதனத்திலிருந்து பங்குகளை சரிபார்க்கவும்                | IoT சாதனத்திலிருந்து ஒரு பொருள் கண்டறிதல் முறைமையைப் பயன்படுத்த பங்குகளை சரிபார்க்க எப்படி என்பதைப் பற்றி அறிக                                                                                         |                     [IoT சாதனத்திலிருந்து பங்குகளை சரிபார்க்கவும்](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [நுகர்வோர்](./6-consumer/README.md)        |             IoT சாதனத்துடன் பேச்சை அடையாளம் காணுங்கள்             | ஒரு ஸ்மார்ட் டைமரை உருவாக்க IoT சாதனத்திலிருந்து பேச்சை அடையாளம் காண எப்படி என்பதைப் பற்றி அறிக                                                                                             |                  [IoT சாதனத்துடன் பேச்சை அடையாளம் காணுங்கள்](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [நுகர்வோர்](./6-consumer/README.md)        |                     மொழியை புரிந்து கொள்ளுங்கள்                     | IoT சாதனத்துக்கு பேசப்பட்ட வாக்கியங்களை புரிந்து கொள்ள எப்படி என்பதைப் பற்றி அறிக                                                                                                           |                        [மொழியை புரிந்து கொள்ளுங்கள்](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [நுகர்வோர்](./6-consumer/README.md)        |           ஒரு டைமரை அமைத்து பேச்சு மூலம் பின்னூட்டம் வழங்குங்கள்           | IoT சாதனத்தில் ஒரு டைமரை அமைத்து, டைமர் அமைக்கப்பட்டதும் முடிந்ததும் பேச்சு மூலம் பின்னூட்டம் வழங்க எப்படி என்பதைப் பற்றி அறிக                                                    |                 [ஒரு டைமரை அமைத்து பேச்சு மூலம் பின்னூட்டம் வழங்குங்கள்](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [நுகர்வோர்](./6-consumer/README.md)        |                 பல மொழிகளை ஆதரிக்கவும்                  | உங்கள் ஸ்மார்ட் டைமருக்கு பேசப்படும் மொழிகளையும், பதிலளிக்கும் மொழிகளையும் ஆதரிக்க எப்படி என்பதைப் பற்றி அறிக                                                               |                   [பல மொழிகளை ஆதரிக்கவும்](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  01   | [தொடக்கம்](./1-getting-started/README.md) |                     IoT அறிமுகம்                     | IoT அடிப்படை கொள்கைகள் மற்றும் சென்சார்கள் மற்றும் கிளவுட் சேவைகள் போன்ற IoT தீர்வுகளின் அடிப்படை கட்டமைப்புகளை கற்றுக்கொள்ளுங்கள், உங்கள் முதல் IoT சாதனத்தை அமைக்கும் போது |                      [IoT அறிமுகம்](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [தொடக்கம்](./1-getting-started/README.md) |                   IoT பற்றி ஆழமான பார்வை                    | IoT அமைப்பின் கூறுகள், மைக்ரோகண்ட்ரோலர்கள் மற்றும் சிங்கிள்-போர்டு கணினிகள் பற்றிய மேலும் அறிக                                                            |                        [IoT பற்றி ஆழமான பார்வை](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [தொடக்கம்](./1-getting-started/README.md) | சென்சார்கள் மற்றும் செயல்படுத்திகளுடன் பௌதிக உலகுடன் தொடர்பு கொள்ளுங்கள் | பௌதிக உலகிலிருந்து தரவை சேகரிக்க சென்சார்கள் மற்றும் பின்னூட்டத்தை அனுப்ப செயல்படுத்திகள் பற்றிய அறிக, ஒரு நைட்லைட்டை உருவாக்கும் போது                                           | [சென்சார்கள் மற்றும் செயல்படுத்திகளுடன் பௌதிக உலகுடன் தொடர்பு கொள்ளுங்கள்](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [தொடக்கம்](./1-getting-started/README.md) |             உங்கள் சாதனத்தை இணையத்துடன் இணைக்கவும்             | IoT சாதனத்தை இணையத்துடன் இணைத்து செய்திகளை அனுப்பவும் பெறவும் எப்படி என்பதை கற்றுக்கொள்ளுங்கள், உங்கள் நைட்லைட்டை MQTT ப்ரோக்கருடன் இணைப்பதன் மூலம்                               |               [உங்கள் சாதனத்தை இணையத்துடன் இணைக்கவும்](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [விவசாயம்](./2-farm/README.md)            |                    தாவர வளர்ச்சியை கணிக்கவும்                     | IoT சாதனத்தால் பிடிக்கப்பட்ட வெப்பநிலை தரவைப் பயன்படுத்தி தாவர வளர்ச்சியை கணிக்க கற்றுக்கொள்ளுங்கள்                                                                                  |                          [தாவர வளர்ச்சியை கணிக்கவும்](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [விவசாயம்](./2-farm/README.md)            |                    மண் ஈரப்பதத்தை கண்டறியவும்                     | மண் ஈரப்பதத்தை கண்டறியவும், மண் ஈரப்பதம் சென்சாரை அளவீடு செய்யவும் கற்றுக்கொள்ளுங்கள்                                                                                              |                          [மண் ஈரப்பதத்தை கண்டறியவும்](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [விவசாயம்](./2-farm/README.md)            |                  தானியங்கி தாவர நீர்ப்பாசனம்                   | ரிலே மற்றும் MQTT பயன்படுத்தி தானியங்கி மற்றும் நேரம் நிர்ணய நீர்ப்பாசனம் எப்படி செய்வது என்பதை கற்றுக்கொள்ளுங்கள்                                                                                                      |                      [தானியங்கி தாவர நீர்ப்பாசனம்](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [விவசாயம்](./2-farm/README.md)            |               உங்கள் தாவரத்தை கிளவுட்-க்கு மாற்றவும்               | கிளவுட் மற்றும் கிளவுட்-ஹோஸ்டட் IoT சேவைகள் பற்றிய அறிக, மற்றும் உங்கள் தாவரத்தை பொதுவான MQTT ப்ரோக்கருக்கு பதிலாக இவற்றில் ஒன்றுடன் இணைக்கவும்                                   |               [உங்கள் தாவரத்தை கிளவுட்-க்கு மாற்றவும்](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [விவசாயம்](./2-farm/README.md)            |         உங்கள் பயன்பாட்டு லாஜிக்கை கிளவுட்-க்கு மாற்றவும்         | IoT செய்திகளுக்கு பதிலளிக்கும் வகையில் கிளவுட்-ல் பயன்பாட்டு லாஜிக்கை எழுதுவது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                                                          |         [உங்கள் பயன்பாட்டு லாஜிக்கை கிளவுட்-க்கு மாற்றவும்](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [விவசாயம்](./2-farm/README.md)            |                   உங்கள் தாவரத்தை பாதுகாப்பாக வைத்திருங்கள்                    | IoT உடன் பாதுகாப்பு மற்றும் உங்கள் தாவரத்தை கீக்கள் மற்றும் சான்றிதழ்களுடன் பாதுகாப்பாக வைத்திருப்பது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                                                          |                        [உங்கள் தாவரத்தை பாதுகாப்பாக வைத்திருங்கள்](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [போக்குவரத்து](./3-transport/README.md)       |                      இடம் கண்காணிப்பு                      | IoT சாதனங்களுக்கான GPS இடம் கண்காணிப்பு பற்றி கற்றுக்கொள்ளுங்கள்                                                                                                                   |                           [இடம் கண்காணிப்பு](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [போக்குவரத்து](./3-transport/README.md)       |                     இடம் தரவை சேமிக்கவும்                     | IoT தரவை சேமித்து பின்னர் காட்சிப்படுத்த அல்லது பகுப்பாய்வு செய்ய கற்றுக்கொள்ளுங்கள்                                                                                                      |                         [இடம் தரவை சேமிக்கவும்](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [போக்குவரத்து](./3-transport/README.md)       |                   இடம் தரவை காட்சிப்படுத்தவும்                   | இடம் தரவை ஒரு வரைபடத்தில் காட்சிப்படுத்துவது மற்றும் வரைபடங்கள் எப்படி உண்மையான 3D உலகத்தை 2 பரிமாணங்களில் பிரதிநிதித்துவம் செய்கின்றன என்பதை கற்றுக்கொள்ளுங்கள்                                                            |                     [இடம் தரவை காட்சிப்படுத்தவும்](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [போக்குவரத்து](./3-transport/README.md)       |                          ஜியோஃபென்சுகள்                          | ஜியோஃபென்சுகள் பற்றி கற்றுக்கொள்ளுங்கள், மற்றும் சப்ளை சேனில் வாகனங்கள் தங்கள் இலக்கத்திற்கு அருகில் உள்ளபோது எச்சரிக்க பயன்படுத்தப்படுவது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                           |                                   [ஜியோஃபென்சுகள்](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [தயாரிப்பு](./4-manufacturing/README.md)   |               பழத்தின் தரத்தை கண்டறியும் மாடலை பயிற்சி செய்யுங்கள்                | கிளவுட்-ல் ஒரு படத்தை வகைப்படுத்தி பழத்தின் தரத்தை கண்டறிய பயிற்சி செய்ய கற்றுக்கொள்ளுங்கள்                                                                                       |                 [பழத்தின் தரத்தை கண்டறியும் மாடலை பயிற்சி செய்யுங்கள்](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [தயாரிப்பு](./4-manufacturing/README.md)   |           IoT சாதனத்திலிருந்து பழத்தின் தரத்தை சரிபார்க்கவும்            | IoT சாதனத்திலிருந்து உங்கள் பழத்தின் தரத்தை கண்டறியும் மாடலை பயன்படுத்துவது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                                                                                    |           [IoT சாதனத்திலிருந்து பழத்தின் தரத்தை சரிபார்க்கவும்](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [தயாரிப்பு](./4-manufacturing/README.md)   |             உங்கள் பழ கண்டறியும் மாடலை எட்ஜ்-ல் இயக்கவும்             | உங்கள் பழ கண்டறியும் மாடலை எட்ஜ்-ல் உள்ள IoT சாதனத்தில் இயக்குவது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                                                                                |             [உங்கள் பழ கண்டறியும் மாடலை எட்ஜ்-ல் இயக்கவும்](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [தயாரிப்பு](./4-manufacturing/README.md)   |        சென்சாரிலிருந்து பழ தரத்தை கண்டறிதல் தொடங்கவும்        | சென்சாரிலிருந்து பழ தரத்தை கண்டறிதல் தொடங்குவது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                                                                                        |        [சென்சாரிலிருந்து பழ தரத்தை கண்டறிதல் தொடங்கவும்](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [சில்லறை](./5-retail/README.md)          |                   பங்கு கண்டறியும் மாடலை பயிற்சி செய்யுங்கள்                    | கடையில் பங்குகளை எண்ணுவதற்கு பொருள் கண்டறிதல் பயன்படுத்தி பங்கு கண்டறியும் மாடலை பயிற்சி செய்ய கற்றுக்கொள்ளுங்கள்                                                                                |                        [பங்கு கண்டறியும் மாடலை பயிற்சி செய்யுங்கள்](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [சில்லறை](./5-retail/README.md)          |               IoT சாதனத்திலிருந்து பங்குகளை சரிபார்க்கவும்                | பொருள் கண்டறிதல் மாடலை பயன்படுத்தி IoT சாதனத்திலிருந்து பங்குகளை சரிபார்க்க கற்றுக்கொள்ளுங்கள்                                                                                         |                     [IoT சாதனத்திலிருந்து பங்குகளை சரிபார்க்கவும்](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [நுகர்வோர்](./6-consumer/README.md)        |             IoT சாதனத்துடன் பேச்சை அடையாளம் காணுங்கள்             | ஒரு ஸ்மார்ட் டைமரை உருவாக்க IoT சாதனத்திலிருந்து பேச்சை அடையாளம் காண கற்றுக்கொள்ளுங்கள்                                                                                             |                  [IoT சாதனத்துடன் பேச்சை அடையாளம் காணுங்கள்](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [நுகர்வோர்](./6-consumer/README.md)        |                     மொழியைப் புரிந்துகொள்ளுங்கள்                     | IoT சாதனத்துக்கு பேசப்பட்ட வாக்கியங்களைப் புரிந்துகொள்ள கற்றுக்கொள்ளுங்கள்                                                                                                           |                        [மொழியைப் புரிந்துகொள்ளுங்கள்](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [நுகர்வோர்](./6-consumer/README.md)        |           ஒரு டைமரை அமைத்து பேச்சு மூலம் பின்னூட்டம் வழங்குங்கள்           | IoT சாதனத்தில் ஒரு டைமரை அமைத்து, டைமர் அமைக்கப்பட்டதும் முடிந்ததும் பேச்சு மூலம் பின்னூட்டம் வழங்குவது எப்படி என்பதை கற்றுக்கொள்ளுங்கள்                                                    |                 [ஒரு டைமரை அமைத்து பேச்சு மூலம் பின்னூட்டம் வழங்குங்கள்](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [நுகர்வோர்](./6-consumer/README.md)        |                 பல மொழிகளை ஆதரிக்கவும்                  | உங்கள் ஸ்மார்ட் டைமருக்கு பேசப்படும் மற்றும் பதிலளிக்கப்படும் பல மொழிகளை ஆதரிக்க கற்றுக்கொள்ளுங்கள்                                                               |                   [பல மொழிகளை ஆதரிக்கவும்](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## ஆஃப்லைன் அணுகல்
 
-இந்த ஆவணங்களை [Docsify](https://docsify.js.org/#/) பயன்படுத்தி ஆஃப்லைனில் இயக்கலாம். இந்த ரெப்போவை Fork செய்யவும், உங்கள் உள்ளூர் கணினியில் [Docsify நிறுவவும்](https://docsify.js.org/#/quickstart), பின்னர் இந்த ரெப்போவின் மூல கோப்பகத்தில் `docsify serve` என டைப் செய்யவும். இணையதளம் உங்கள் localhost இல் 3000 போர்டில் வழங்கப்படும்: `localhost:3000`.
+இந்த ஆவணத்தை [Docsify](https://docsify.js.org/#/) பயன்படுத்தி ஆஃப்லைனில் இயக்கலாம். இந்த ரெப்போவை Fork செய்யவும், உங்கள் உள்ளூர் கணினியில் [Docsify நிறுவவும்](https://docsify.js.org/#/quickstart), பின்னர் இந்த ரெப்போவின் மூல கோப்புறையில் `docsify serve` என டைப் செய்யவும். இணையதளம் உங்கள் localhost இல் 3000 போர்ட்டில் வழங்கப்படும்: `localhost:3000`.
 
-## வினாடி வினா
+## க்விஸ்
 
-ஒவ்வொரு அத்தியாயத்திலும் உங்கள் அறிவை சோதிக்கும் இன்டர்ஆக்டிவ் வினாடி வினாவை நடத்துவதற்கு சமூகத்திற்கு நன்றி. உங்கள் அறிவை [இங்கே](https://ff-quizzes.netlify.app/en/) சோதிக்கலாம் 
+ஒவ்வொரு அத்தியாயத்திற்கும் உங்கள் அறிவை சோதிக்கும் இடைமுக க்விஸை வழங்கிய சமூகத்திற்கு நன்றி. உங்கள் அறிவை [இங்கே சோதிக்கவும்](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-இந்த உள்ளடக்கத்தை ஆஃப்லைனில் அணுக PDF உருவாக்கலாம். இதை செய்ய, [npm நிறுவப்பட்டுள்ளது](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) என்பதை உறுதிப்படுத்தி, இந்த ரெப்போவின் மூல கோப்பகத்தில் பின்வரும் கட்டளைகளை இயக்கவும்:
+தேவையானால், இந்த உள்ளடக்கத்தை ஆஃப்லைனில் அணுக PDF உருவாக்கலாம். இதற்கு, உங்கள் கணினியில் [npm நிறுவப்பட்டிருக்க வேண்டும்](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) மற்றும் இந்த ரெப்போவின் மூல கோப்புறையில் பின்வரும் கட்டளைகளை இயக்கவும்:
 
 ```sh
 npm i
@@ -144,34 +151,33 @@ npm run convert
 
 ### ஸ்லைடுகள்
 
-சில பாடங்களுக்கான ஸ்லைடுகள் [slides](../../slides) கோப்பகத்தில் உள்ளன.
+சில பாடங்களுக்கான ஸ்லைடு தொகுப்புகள் [slides](../../slides) கோப்புறையில் உள்ளன.
 
 
 ## பிற பாடத்திட்டங்கள்
 
-எங்கள் குழு பிற பாடத்திட்டங்களை உருவாக்குகிறது! பாருங்கள்:
+எங்கள் குழு பிற பாடத்திட்டங்களையும் உருவாக்குகிறது! பாருங்கள்:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
-[![துவக்கத்திற்கான AZD](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![துவக்கத்திற்கான Edge AI](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![துவக்கத்திற்கான MCP](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![துவக்கத்திற்கான AI Agents](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ஆரம்பத்திற்கான AZD](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ஆரம்பத்திற்கான எட்ஜ் AI](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ஆரம்பத்திற்கான MCP](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ஆரம்பத்திற்கான AI ஏஜென்ட்கள்](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generative AI Series
-[![துவக்கத்திற்கான Generative AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### ஜெனரேட்டிவ் AI தொடர்
+[![ஆரம்பத்திற்கான ஜெனரேட்டிவ் AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![ஜெனரேட்டிவ் AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![ஜெனரேட்டிவ் AI (ஜாவா)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![ஜெனரேட்டிவ் AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Core Learning
-[![துவக்கத்திற்கான இயந்திர கற்றல்](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+
+### முக்கியக் கற்றல்
+[![துவக்கத்திற்கான ML](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![துவக்கத்திற்கான தரவியல் அறிவியல்](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![துவக்கத்திற்கான செயற்கை நுண்ணறிவு](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![துவக்கத்திற்கான AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
 [![துவக்கத்திற்கான சைபர் பாதுகாப்பு](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
 [![துவக்கத்திற்கான வலை மேம்பாடு](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
 [![துவக்கத்திற்கான IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
@@ -181,14 +187,17 @@ npm run convert
 
 ### Copilot தொடர்
 [![AI இணை நிரலாக்கத்திற்கான Copilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
-[![C#/.NET-க்கான Copilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![C#/.NET-க்கு Copilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
 [![Copilot சாகசம்](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## படங்களுக்கான அடையாளங்கள்
+## படங்களின் அடையாளங்கள்
 
-இந்த பாடத்திட்டத்தில் பயன்படுத்தப்பட்ட படங்களுக்கான அனைத்து அடையாளங்களையும் [அடையாளங்கள்](./attributions.md) பகுதியில் காணலாம்.
+இந்த பாடத்திட்டத்தில் பயன்படுத்தப்பட்ட படங்களுக்கான அடையாளங்களை [அடையாளங்கள்](./attributions.md) பகுதியில் காணலாம்.
 
 ---
 
-**குறிப்பு**:  
-இந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை [Co-op Translator](https://github.com/Azure/co-op-translator) பயன்படுத்தி மொழிபெயர்க்கப்பட்டுள்ளது. நாங்கள் துல்லியத்திற்காக முயற்சிக்கிறோம், ஆனால் தானியக்க மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கக்கூடும் என்பதை கவனத்தில் கொள்ளவும். அதன் தாய்மொழியில் உள்ள மூல ஆவணம் அதிகாரப்பூர்வ ஆதாரமாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்முறை மனித மொழிபெயர்ப்பு பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதால் ஏற்படும் எந்த தவறான புரிதல்கள் அல்லது தவறான விளக்கங்களுக்கு நாங்கள் பொறுப்பல்ல.
\ No newline at end of file
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
+**அறிவிப்பு**:  
+இந்த ஆவணம் [Co-op Translator](https://github.com/Azure/co-op-translator) என்ற AI மொழிபெயர்ப்பு சேவையை பயன்படுத்தி மொழிபெயர்க்கப்பட்டுள்ளது. நாங்கள் துல்லியத்திற்காக முயற்சிக்கிறோம், ஆனால் தானியங்கி மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கக்கூடும் என்பதை கவனத்தில் கொள்ளவும். அதன் சொந்த மொழியில் உள்ள மூல ஆவணம் அதிகாரப்பூர்வ ஆதாரமாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்முறை மனித மொழிபெயர்ப்பு பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதால் ஏற்படும் எந்த தவறான புரிதல்களுக்கும் அல்லது தவறான விளக்கங்களுக்கும் நாங்கள் பொறுப்பல்ல.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/th/README.md b/translations/th/README.md
index c9b1f17fc..a3bf39e99 100644
--- a/translations/th/README.md
+++ b/translations/th/README.md
@@ -1,133 +1,137 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:11:42+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:42:54+00:00",
   "source_file": "README.md",
   "language_code": "th"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### เข้าร่วมชุมชน Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### เข้าร่วมชุมชน Azure AI Foundry  
 
-ทำตามขั้นตอนเหล่านี้เพื่อเริ่มต้นใช้งานทรัพยากรเหล่านี้:
-1. **Fork Repository**: คลิก [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**เข้าร่วม Azure AI Foundry Discord และพบกับผู้เชี่ยวชาญและนักพัฒนาคนอื่นๆ**](https://discord.com/invite/ByRwuEEgH4)
+หากคุณติดปัญหาหรือมีคำถามเกี่ยวกับการสร้างแอป AI เข้าร่วมพูดคุยกับผู้เรียนและนักพัฒนาที่มีประสบการณ์ในชุมชน MCP ที่นี่เป็นชุมชนที่สนับสนุนซึ่งยินดีต้อนรับคำถามและแบ่งปันความรู้กันอย่างอิสระ  
 
-### 🌐 รองรับหลายภาษา
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### รองรับผ่าน GitHub Action (อัตโนมัติและอัปเดตเสมอ)
+หากคุณมีข้อเสนอแนะเกี่ยวกับผลิตภัณฑ์หรือพบข้อผิดพลาดขณะสร้าง โปรดเยี่ยมชม:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](./README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT สำหรับผู้เริ่มต้น - หลักสูตร
+ทำตามขั้นตอนเหล่านี้เพื่อเริ่มต้นใช้งานทรัพยากรเหล่านี้:  
+1. **Fork Repository**: คลิก [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**เข้าร่วม Microsoft Foundry Discord และพบกับผู้เชี่ยวชาญและนักพัฒนาคนอื่นๆ**](https://discord.com/invite/ByRwuEEgH4)  
 
-Azure Cloud Advocates ที่ Microsoft ยินดีที่จะนำเสนอหลักสูตร 12 สัปดาห์ 24 บทเรียนเกี่ยวกับพื้นฐาน IoT แต่ละบทเรียนประกอบด้วยแบบทดสอบก่อนและหลังบทเรียน คำแนะนำที่เขียนไว้เพื่อทำบทเรียนให้เสร็จ โซลูชัน งานมอบหมาย และอื่นๆ วิธีการเรียนรู้แบบโครงการช่วยให้คุณเรียนรู้ในขณะที่สร้าง ซึ่งเป็นวิธีที่พิสูจน์แล้วว่าทักษะใหม่จะคงอยู่
+### 🌐 รองรับหลายภาษา  
 
-โครงการครอบคลุมการเดินทางของอาหารตั้งแต่ฟาร์มถึงโต๊ะอาหาร ซึ่งรวมถึงการเกษตร โลจิสติกส์ การผลิต การค้าปลีก และผู้บริโภค - ทุกพื้นที่อุตสาหกรรมยอดนิยมสำหรับอุปกรณ์ IoT
+#### รองรับผ่าน GitHub Action (อัตโนมัติและอัปเดตเสมอ)  
 
-![แผนที่หลักสูตรแสดง 24 บทเรียนครอบคลุมการแนะนำ การเกษตร การขนส่ง การแปรรูป การค้าปลีก และการทำอาหาร](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.th.jpg)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](./README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
 
-> ภาพสเก็ตช์โดย [Nitya Narasimhan](https://github.com/nitya) คลิกที่ภาพเพื่อดูเวอร์ชันขนาดใหญ่
+# IoT สำหรับผู้เริ่มต้น - หลักสูตร  
 
-**ขอขอบคุณผู้เขียนของเรา [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), และศิลปินภาพสเก็ตช์ของเรา [Nitya Narasimhan](https://github.com/nitya).**
+ทีม Azure Cloud Advocates ที่ Microsoft ยินดีนำเสนอหลักสูตร 12 สัปดาห์ 24 บทเรียนเกี่ยวกับพื้นฐาน IoT แต่ละบทเรียนประกอบด้วยแบบทดสอบก่อนและหลังบทเรียน คำแนะนำการทำบทเรียน โซลูชัน การบ้าน และอื่นๆ การเรียนรู้แบบโครงการช่วยให้คุณเรียนรู้ไปพร้อมกับการสร้าง ซึ่งเป็นวิธีที่พิสูจน์แล้วว่าทำให้ทักษะใหม่ๆ ติดตัวได้ดี  
 
-**ขอขอบคุณทีมงาน [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ที่ได้ตรวจสอบและแปลหลักสูตรนี้ - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), และ [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+โครงการครอบคลุมเส้นทางของอาหารตั้งแต่ฟาร์มถึงโต๊ะอาหาร ซึ่งรวมถึงการเกษตร การขนส่ง การผลิต การค้าปลีก และผู้บริโภค - ทุกอย่างเป็นพื้นที่อุตสาหกรรมยอดนิยมสำหรับอุปกรณ์ IoT  
 
-พบกับทีมงาน!
+![แผนที่หลักสูตรแสดง 24 บทเรียนครอบคลุมการแนะนำ การเกษตร การขนส่ง การแปรรูป การค้าปลีก และการทำอาหาร](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.th.jpg)  
 
-[![วิดีโอโปรโมท](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> ภาพสเก็ตช์โดย [Nitya Narasimhan](https://github.com/nitya) คลิกที่ภาพเพื่อดูเวอร์ชันขนาดใหญ่  
 
-**Gif โดย** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**ขอขอบคุณผู้เขียนของเรา [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) และศิลปินภาพสเก็ตช์ของเรา [Nitya Narasimhan](https://github.com/nitya)**  
 
-> 🎥 คลิกที่ภาพด้านบนเพื่อดูวิดีโอเกี่ยวกับโครงการ!
+**ขอบคุณทีม [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ที่ช่วยตรวจสอบและแปลหลักสูตรนี้ - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), และ [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)**  
 
-> **ครู**, เราได้ [รวมคำแนะนำบางส่วน](for-teachers.md) เกี่ยวกับวิธีการใช้หลักสูตรนี้ หากคุณต้องการสร้างบทเรียนของคุณเอง เราได้รวม [เทมเพลตบทเรียน](lesson-template/README.md) ไว้ด้วย
+พบกับทีมของเรา!  
 
-> **[นักเรียน](https://aka.ms/student-page)**, เพื่อใช้หลักสูตรนี้ด้วยตัวเอง ให้ fork repo ทั้งหมดและทำแบบฝึกหัดด้วยตัวเอง เริ่มต้นด้วยแบบทดสอบก่อนการบรรยาย จากนั้นอ่านการบรรยายและทำกิจกรรมอื่นๆ ให้เสร็จ ลองสร้างโครงการโดยทำความเข้าใจบทเรียนแทนการคัดลอกรหัสโซลูชัน อย่างไรก็ตามรหัสนั้นมีอยู่ในโฟลเดอร์ /solutions ในแต่ละบทเรียนที่เน้นโครงการ อีกแนวคิดหนึ่งคือการสร้างกลุ่มศึกษาและเรียนรู้เนื้อหาด้วยกัน สำหรับการศึกษาเพิ่มเติม เราขอแนะนำ [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)
+[![วิดีโอโปรโมต](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-สำหรับวิดีโอภาพรวมของหลักสูตรนี้ ดูวิดีโอนี้:
+**Gif โดย** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![วิดีโอโปรโมท](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+> 🎥 คลิกที่ภาพด้านบนเพื่อดูวิดีโอเกี่ยวกับโครงการ!  
 
-> 🎥 คลิกที่ภาพด้านบนเพื่อดูวิดีโอเกี่ยวกับโครงการ!
+> **ครู**, เราได้ [รวมคำแนะนำบางส่วน](for-teachers.md) เกี่ยวกับวิธีการใช้หลักสูตรนี้ หากคุณต้องการสร้างบทเรียนของคุณเอง เราได้รวม [เทมเพลตบทเรียน](lesson-template/README.md) ไว้ด้วย  
 
-## วิธีการสอน
+> **[นักเรียน](https://aka.ms/student-page)**, หากต้องการใช้หลักสูตรนี้ด้วยตัวเอง ให้ fork repo ทั้งหมดและทำแบบฝึกหัดด้วยตัวเอง เริ่มต้นด้วยแบบทดสอบก่อนบทเรียน จากนั้นอ่านบทเรียนและทำกิจกรรมที่เหลือ พยายามสร้างโครงการโดยทำความเข้าใจบทเรียนแทนที่จะคัดลอกรหัสโซลูชัน อย่างไรก็ตาม รหัสโซลูชันนั้นมีอยู่ในโฟลเดอร์ /solutions ในแต่ละบทเรียนที่เน้นโครงการ อีกแนวคิดหนึ่งคือการสร้างกลุ่มเรียนกับเพื่อนๆ และเรียนรู้เนื้อหาด้วยกัน สำหรับการศึกษาต่อ เราขอแนะนำ [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)  
 
-เราเลือกใช้หลักการสอนสองข้อในขณะที่สร้างหลักสูตรนี้: การทำให้เป็นโครงการและการรวมแบบทดสอบบ่อยๆ เมื่อจบซีรีส์นี้ นักเรียนจะได้สร้างระบบตรวจสอบและรดน้ำต้นไม้ ระบบติดตามยานพาหนะ การตั้งค่าการผลิตอัจฉริยะเพื่อตรวจสอบและตรวจสอบอาหาร และตัวจับเวลาในการทำอาหารที่ควบคุมด้วยเสียง และจะได้เรียนรู้พื้นฐานของ Internet of Things รวมถึงวิธีการเขียนโค้ดอุปกรณ์ การเชื่อมต่อกับคลาวด์ การวิเคราะห์ข้อมูล และการใช้งาน AI บนขอบเครือข่าย
+สำหรับวิดีโอภาพรวมของหลักสูตรนี้ ดูวิดีโอนี้:  
 
-การทำให้เนื้อหาสอดคล้องกับโครงการช่วยให้กระบวนการเรียนรู้มีความน่าสนใจมากขึ้นสำหรับนักเรียน และช่วยเพิ่มการจดจำแนวคิด
+[![วิดีโอโปรโมต](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "วิดีโอโปรโมต")  
 
-นอกจากนี้ แบบทดสอบที่มีความเสี่ยงต่ำก่อนชั้นเรียนจะช่วยตั้งเป้าหมายให้นักเรียนเรียนรู้หัวข้อ ในขณะที่แบบทดสอบที่สองหลังชั้นเรียนช่วยเพิ่มการจดจำเพิ่มเติม หลักสูตรนี้ได้รับการออกแบบให้มีความยืดหยุ่นและสนุกสนาน และสามารถเรียนได้ทั้งหมดหรือบางส่วน โครงการเริ่มต้นจากขนาดเล็กและซับซ้อนขึ้นเรื่อยๆ จนถึงสิ้นสุดรอบ 12 สัปดาห์
+> 🎥 คลิกที่ภาพด้านบนเพื่อดูวิดีโอเกี่ยวกับโครงการ!  
 
-แต่ละโครงการใช้ฮาร์ดแวร์ IoT ที่มีให้สำหรับนักเรียนและผู้ที่สนใจ แต่ละโครงการจะเจาะลึกในโดเมนของโครงการนั้นๆ โดยให้ความรู้พื้นฐานที่เกี่ยวข้อง การเป็นนักพัฒนาที่ประสบความสำเร็จช่วยให้เข้าใจโดเมนที่คุณกำลังแก้ปัญหา การให้ความรู้พื้นฐานนี้ช่วยให้นักเรียนคิดเกี่ยวกับโซลูชัน IoT และการเรียนรู้ในบริบทของปัญหาในโลกจริงที่พวกเขาอาจต้องแก้ไขในฐานะนักพัฒนา IoT นักเรียนจะได้เรียนรู้ 'เหตุผล' ของโซลูชันที่พวกเขากำลังสร้าง และเข้าใจถึงผู้ใช้งานปลายทาง
+## วิธีการสอน  
 
-## ฮาร์ดแวร์
+เราเลือกใช้หลักการสอนสองข้อในการสร้างหลักสูตรนี้: การทำให้เป็นโครงการและการรวมแบบทดสอบบ่อยๆ เมื่อจบซีรีส์นี้ นักเรียนจะได้สร้างระบบตรวจสอบและรดน้ำต้นไม้ ตัวติดตามยานพาหนะ การตั้งค่าการผลิตอัจฉริยะเพื่อตรวจสอบและตรวจสอบอาหาร และตัวจับเวลาทำอาหารที่ควบคุมด้วยเสียง และจะได้เรียนรู้พื้นฐานของ Internet of Things รวมถึงการเขียนโค้ดอุปกรณ์ การเชื่อมต่อกับคลาวด์ การวิเคราะห์ข้อมูล และการใช้งาน AI บนอุปกรณ์  
 
-เรามีตัวเลือกฮาร์ดแวร์ IoT สองแบบสำหรับใช้ในโครงการ ขึ้นอยู่กับความชอบส่วนตัว ความรู้หรือความชอบในภาษาโปรแกรม เป้าหมายการเรียนรู้ และความพร้อมใช้งาน นอกจากนี้เรายังมีเวอร์ชัน 'ฮาร์ดแวร์เสมือน' สำหรับผู้ที่ไม่มีฮาร์ดแวร์ หรืออยากเรียนรู้เพิ่มเติมก่อนตัดสินใจซื้อ คุณสามารถอ่านเพิ่มเติมและค้นหา 'รายการช้อปปิ้ง' ได้ใน [หน้าฮาร์ดแวร์](./hardware.md) รวมถึงลิงก์เพื่อซื้อชุดอุปกรณ์ครบชุดจากเพื่อนของเราที่ Seeed Studio
+การทำให้เนื้อหาสอดคล้องกับโครงการช่วยให้นักเรียนมีส่วนร่วมมากขึ้นและเพิ่มการจดจำแนวคิด  
 
-> 💁 ค้นหา [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), และ [Translation](TRANSLATIONS.md) แนวทาง เรายินดีรับฟังความคิดเห็นที่สร้างสรรค์ของคุณ!
+นอกจากนี้ แบบทดสอบที่มีความเสี่ยงต่ำก่อนชั้นเรียนจะช่วยให้นักเรียนตั้งใจเรียนรู้หัวข้อ ในขณะที่แบบทดสอบที่สองหลังชั้นเรียนช่วยเพิ่มการจดจำ หลักสูตรนี้ออกแบบมาให้ยืดหยุ่นและสนุกสนาน และสามารถเรียนได้ทั้งหมดหรือบางส่วน โครงการเริ่มต้นจากขนาดเล็กและซับซ้อนขึ้นเรื่อยๆ ในช่วง 12 สัปดาห์  
 
-## แต่ละบทเรียนประกอบด้วย:
+แต่ละโครงการใช้ฮาร์ดแวร์ IoT ที่มีอยู่จริงสำหรับนักเรียนและผู้ที่ชื่นชอบ แต่ละโครงการจะเจาะลึกในโดเมนของโครงการนั้นๆ โดยให้ความรู้พื้นฐานที่เกี่ยวข้อง การเป็นนักพัฒนาที่ประสบความสำเร็จนั้นจำเป็นต้องเข้าใจโดเมนที่คุณกำลังแก้ปัญหา การให้ความรู้พื้นฐานนี้ช่วยให้นักเรียนคิดเกี่ยวกับโซลูชัน IoT และการเรียนรู้ในบริบทของปัญหาในโลกจริงที่พวกเขาอาจต้องแก้ในฐานะนักพัฒนา IoT นักเรียนจะได้เรียนรู้ 'เหตุผล' ของโซลูชันที่พวกเขากำลังสร้าง และเข้าใจถึงผู้ใช้งานปลายทาง  
 
-- ภาพสเก็ตช์
-- วิดีโอเสริม (ถ้ามี)
-- แบบทดสอบอุ่นเครื่องก่อนบทเรียน
-- บทเรียนที่เขียนไว้
-- สำหรับบทเรียนที่เน้นโครงการ มีคำแนะนำทีละขั้นตอนเกี่ยวกับวิธีการสร้างโครงการ
-- การตรวจสอบความรู้
-- ความท้าทาย
-- การอ่านเสริม
-- งานมอบหมาย
-- [แบบทดสอบหลังบทเรียน](https://ff-quizzes.netlify.app/en/)
+## ฮาร์ดแวร์  
 
-> **หมายเหตุเกี่ยวกับแบบทดสอบ**: แบบทดสอบทั้งหมดอยู่ในโฟลเดอร์ quiz-app รวมทั้งหมด 48 แบบทดสอบ แต่ละแบบมี 3 คำถาม แบบทดสอบเหล่านี้ถูกลิงก์จากในบทเรียน แต่แอปแบบทดสอบสามารถรันได้ในเครื่องหรือปรับใช้ใน Azure; ทำตามคำแนะนำในโฟลเดอร์ `quiz-app` แบบทดสอบเหล่านี้กำลังถูกแปลทีละน้อย
+เรามีตัวเลือกฮาร์ดแวร์ IoT สองแบบสำหรับใช้ในโครงการ ขึ้นอยู่กับความชอบส่วนตัว ความรู้ด้านภาษาโปรแกรม หรือเป้าหมายการเรียนรู้ และความพร้อมใช้งาน นอกจากนี้ เรายังมีเวอร์ชัน 'ฮาร์ดแวร์เสมือน' สำหรับผู้ที่ไม่มีฮาร์ดแวร์ หรืออยากเรียนรู้เพิ่มเติมก่อนตัดสินใจซื้อ คุณสามารถอ่านเพิ่มเติมและค้นหา 'รายการช้อปปิ้ง' ได้ที่ [หน้าฮาร์ดแวร์](./hardware.md) รวมถึงลิงก์สำหรับซื้อชุดอุปกรณ์ครบชุดจากเพื่อนของเราที่ Seeed Studio  
+
+> 💁 ค้นหา [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), และ [Translation](TRANSLATIONS.md) เรายินดีรับข้อเสนอแนะที่สร้างสรรค์ของคุณ!  
+
+## แต่ละบทเรียนประกอบด้วย:  
+
+- ภาพสเก็ตช์  
+- วิดีโอเสริม (ถ้ามี)  
+- แบบทดสอบอุ่นเครื่องก่อนบทเรียน  
+- บทเรียนที่เขียนไว้  
+- สำหรับบทเรียนที่เน้นโครงการ มีคำแนะนำทีละขั้นตอนเกี่ยวกับวิธีสร้างโครงการ  
+- การตรวจสอบความรู้  
+- ความท้าทาย  
+- การอ่านเสริม  
+- การบ้าน  
+- [แบบทดสอบหลังบทเรียน](https://ff-quizzes.netlify.app/en/)  
+> **หมายเหตุเกี่ยวกับแบบทดสอบ**: แบบทดสอบทั้งหมดอยู่ในโฟลเดอร์ quiz-app ซึ่งมีทั้งหมด 48 แบบทดสอบ โดยแต่ละแบบทดสอบมี 3 คำถาม แบบทดสอบเหล่านี้ถูกลิงก์จากบทเรียน แต่แอปแบบทดสอบสามารถรันได้ในเครื่องหรือปรับใช้บน Azure ให้ทำตามคำแนะนำในโฟลเดอร์ `quiz-app` แบบทดสอบกำลังถูกแปลเป็นภาษาท้องถิ่นอย่างต่อเนื่อง
 
 ## บทเรียน
 
-|       |              ชื่อโครงการ              |                       แนวคิดที่สอน                       | วัตถุประสงค์การเรียนรู้                                                                                                                                                 |                                                        ลิงก์บทเรียน                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) |                     แนะนำเกี่ยวกับ IoT                     | เรียนรู้หลักการพื้นฐานของ IoT และองค์ประกอบสำคัญของโซลูชัน IoT เช่น เซ็นเซอร์และบริการคลาวด์ พร้อมกับการตั้งค่าอุปกรณ์ IoT เครื่องแรกของคุณ |                      [แนะนำเกี่ยวกับ IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) |                   เจาะลึกเกี่ยวกับ IoT                    | เรียนรู้เพิ่มเติมเกี่ยวกับส่วนประกอบของระบบ IoT รวมถึงไมโครคอนโทรลเลอร์และคอมพิวเตอร์บอร์ดเดี่ยว                                                            |                        [เจาะลึกเกี่ยวกับ IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) | โต้ตอบกับโลกทางกายภาพด้วยเซ็นเซอร์และแอคชูเอเตอร์ | เรียนรู้เกี่ยวกับเซ็นเซอร์เพื่อรวบรวมข้อมูลจากโลกทางกายภาพ และแอคชูเอเตอร์เพื่อส่งข้อมูลตอบกลับ พร้อมกับการสร้างไฟกลางคืน                                           | [โต้ตอบกับโลกทางกายภาพด้วยเซ็นเซอร์และแอคชูเอเตอร์](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|       |              ชื่อโปรเจกต์              |                       แนวคิดที่สอน                       | วัตถุประสงค์การเรียนรู้                                                                                                                                                 |                                                        บทเรียนที่ลิงก์                                                         |
+| :---: | :------------------------------------: | :-----------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) |                     แนะนำเกี่ยวกับ IoT                     | เรียนรู้หลักการพื้นฐานของ IoT และองค์ประกอบพื้นฐานของโซลูชัน IoT เช่น เซ็นเซอร์และบริการคลาวด์ ในขณะที่คุณตั้งค่าอุปกรณ์ IoT เครื่องแรกของคุณ |                      [แนะนำเกี่ยวกับ IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) |                   เจาะลึกเกี่ยวกับ IoT                    | เรียนรู้เพิ่มเติมเกี่ยวกับองค์ประกอบของระบบ IoT รวมถึงไมโครคอนโทรลเลอร์และคอมพิวเตอร์บอร์ดเดี่ยว                                                            |                        [เจาะลึกเกี่ยวกับ IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) | โต้ตอบกับโลกทางกายภาพด้วยเซ็นเซอร์และแอคชูเอเตอร์ | เรียนรู้เกี่ยวกับเซ็นเซอร์เพื่อรวบรวมข้อมูลจากโลกทางกายภาพ และแอคชูเอเตอร์เพื่อส่งข้อมูลตอบกลับ ในขณะที่คุณสร้างไฟกลางคืน                                           | [โต้ตอบกับโลกทางกายภาพด้วยเซ็นเซอร์และแอคชูเอเตอร์](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
 |  04   | [เริ่มต้นใช้งาน](./1-getting-started/README.md) |             เชื่อมต่ออุปกรณ์ของคุณกับอินเทอร์เน็ต             | เรียนรู้เกี่ยวกับวิธีการเชื่อมต่ออุปกรณ์ IoT กับอินเทอร์เน็ตเพื่อส่งและรับข้อความโดยการเชื่อมต่อไฟกลางคืนของคุณกับ MQTT broker                               |               [เชื่อมต่ออุปกรณ์ของคุณกับอินเทอร์เน็ต](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [ฟาร์ม](./2-farm/README.md)            |                    ทำนายการเจริญเติบโตของพืช                     | เรียนรู้วิธีการทำนายการเจริญเติบโตของพืชโดยใช้ข้อมูลอุณหภูมิที่จับได้จากอุปกรณ์ IoT                                                                                  |                          [ทำนายการเจริญเติบโตของพืช](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  05   |            [ฟาร์ม](./2-farm/README.md)            |                    ทำนายการเติบโตของพืช                     | เรียนรู้วิธีการทำนายการเติบโตของพืชโดยใช้ข้อมูลอุณหภูมิที่จับได้จากอุปกรณ์ IoT                                                                                  |                          [ทำนายการเติบโตของพืช](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [ฟาร์ม](./2-farm/README.md)            |                    ตรวจจับความชื้นในดิน                     | เรียนรู้วิธีการตรวจจับความชื้นในดินและปรับเทียบเซ็นเซอร์ความชื้นในดิน                                                                                              |                          [ตรวจจับความชื้นในดิน](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [ฟาร์ม](./2-farm/README.md)            |                  การรดน้ำพืชอัตโนมัติ                   | เรียนรู้วิธีการรดน้ำพืชอัตโนมัติและตั้งเวลาโดยใช้รีเลย์และ MQTT                                                                                                      |                      [การรดน้ำพืชอัตโนมัติ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  07   |            [ฟาร์ม](./2-farm/README.md)            |                  การรดน้ำพืชอัตโนมัติ                   | เรียนรู้วิธีการรดน้ำอัตโนมัติและตั้งเวลาโดยใช้รีเลย์และ MQTT                                                                                                      |                      [การรดน้ำพืชอัตโนมัติ](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
 |  08   |            [ฟาร์ม](./2-farm/README.md)            |               ย้ายพืชของคุณไปยังคลาวด์               | เรียนรู้เกี่ยวกับคลาวด์และบริการ IoT ที่โฮสต์บนคลาวด์ และวิธีการเชื่อมต่อพืชของคุณกับบริการเหล่านี้แทนที่จะใช้ MQTT broker สาธารณะ                                   |               [ย้ายพืชของคุณไปยังคลาวด์](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [ฟาร์ม](./2-farm/README.md)            |         ย้ายตรรกะการใช้งานของคุณไปยังคลาวด์         | เรียนรู้เกี่ยวกับวิธีการเขียนตรรกะการใช้งานในคลาวด์ที่ตอบสนองต่อข้อความ IoT                                                                          |         [ย้ายตรรกะการใช้งานของคุณไปยังคลาวด์](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  09   |            [ฟาร์ม](./2-farm/README.md)            |         ย้ายตรรกะของแอปพลิเคชันของคุณไปยังคลาวด์         | เรียนรู้เกี่ยวกับวิธีการเขียนตรรกะของแอปพลิเคชันในคลาวด์ที่ตอบสนองต่อข้อความ IoT                                                                          |         [ย้ายตรรกะของแอปพลิเคชันของคุณไปยังคลาวด์](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [ฟาร์ม](./2-farm/README.md)            |                   รักษาความปลอดภัยให้พืชของคุณ                    | เรียนรู้เกี่ยวกับความปลอดภัยใน IoT และวิธีการรักษาความปลอดภัยให้พืชของคุณด้วยคีย์และใบรับรอง                                                                          |                        [รักษาความปลอดภัยให้พืชของคุณ](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [การขนส่ง](./3-transport/README.md)       |                      การติดตามตำแหน่ง                      | เรียนรู้เกี่ยวกับการติดตามตำแหน่ง GPS สำหรับอุปกรณ์ IoT                                                                                                                   |                           [การติดตามตำแหน่ง](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [การขนส่ง](./3-transport/README.md)       |                     การจัดเก็บข้อมูลตำแหน่ง                     | เรียนรู้วิธีการจัดเก็บข้อมูล IoT เพื่อการแสดงผลหรือวิเคราะห์ในภายหลัง                                                                                                      |                         [การจัดเก็บข้อมูลตำแหน่ง](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [การขนส่ง](./3-transport/README.md)       |                   การแสดงผลข้อมูลตำแหน่ง                   | เรียนรู้เกี่ยวกับการแสดงผลข้อมูลตำแหน่งบนแผนที่ และวิธีที่แผนที่แสดงโลก 3 มิติในรูปแบบ 2 มิติ                                                            |                     [การแสดงผลข้อมูลตำแหน่ง](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [การขนส่ง](./3-transport/README.md)       |                          เขตพื้นที่จำกัด                          | เรียนรู้เกี่ยวกับเขตพื้นที่จำกัด และวิธีการใช้เขตพื้นที่จำกัดเพื่อแจ้งเตือนเมื่อยานพาหนะในห่วงโซ่อุปทานใกล้ถึงจุดหมาย                                           |                                   [เขตพื้นที่จำกัด](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [การผลิต](./4-manufacturing/README.md)   |               ฝึกเครื่องตรวจสอบคุณภาพผลไม้                | เรียนรู้เกี่ยวกับการฝึกตัวจำแนกภาพในคลาวด์เพื่อตรวจสอบคุณภาพผลไม้                                                                                       |                 [ฝึกเครื่องตรวจสอบคุณภาพผลไม้](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [การผลิต](./4-manufacturing/README.md)   |           ตรวจสอบคุณภาพผลไม้จากอุปกรณ์ IoT            | เรียนรู้เกี่ยวกับการใช้เครื่องตรวจสอบคุณภาพผลไม้จากอุปกรณ์ IoT                                                                                                    |           [ตรวจสอบคุณภาพผลไม้จากอุปกรณ์ IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [การผลิต](./4-manufacturing/README.md)   |             ใช้เครื่องตรวจสอบผลไม้ที่ขอบเครือข่าย             | เรียนรู้เกี่ยวกับการใช้เครื่องตรวจสอบผลไม้บนอุปกรณ์ IoT ที่ขอบเครือข่าย                                                                                                |             [ใช้เครื่องตรวจสอบผลไม้ที่ขอบเครือข่าย](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [การผลิต](./4-manufacturing/README.md)   |        เริ่มการตรวจสอบคุณภาพผลไม้จากเซ็นเซอร์        | เรียนรู้เกี่ยวกับการเริ่มการตรวจสอบคุณภาพผลไม้จากเซ็นเซอร์                                                                                                        |        [เริ่มการตรวจสอบคุณภาพผลไม้จากเซ็นเซอร์](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [ค้าปลีก](./5-retail/README.md)          |                   ฝึกเครื่องตรวจสอบสต็อกสินค้า                    | เรียนรู้วิธีการใช้การตรวจจับวัตถุเพื่อฝึกเครื่องตรวจสอบสต็อกสินค้าเพื่อนับจำนวนสินค้าในร้าน                                                                                |                        [ฝึกเครื่องตรวจสอบสต็อกสินค้า](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [ค้าปลีก](./5-retail/README.md)          |               ตรวจสอบสต็อกจากอุปกรณ์ IoT                | เรียนรู้วิธีการตรวจสอบสต็อกจากอุปกรณ์ IoT โดยใช้โมเดลการตรวจจับวัตถุ                                                                                         |                     [ตรวจสอบสต็อกจากอุปกรณ์ IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [ผู้บริโภค](./6-consumer/README.md)        |             การรู้จำเสียงพูดด้วยอุปกรณ์ IoT             | เรียนรู้วิธีการรู้จำเสียงพูดจากอุปกรณ์ IoT เพื่อสร้างตัวจับเวลาที่ชาญฉลาด                                                                                             |                  [การรู้จำเสียงพูดด้วยอุปกรณ์ IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  14   |       [การขนส่ง](./3-transport/README.md)       |                          Geofences                          | เรียนรู้เกี่ยวกับ Geofences และวิธีการใช้งานเพื่อแจ้งเตือนเมื่อยานพาหนะในห่วงโซ่อุปทานใกล้ถึงจุดหมายปลายทาง                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [การผลิต](./4-manufacturing/README.md)   |               ฝึกตัวตรวจจับคุณภาพผลไม้                | เรียนรู้เกี่ยวกับการฝึกตัวจำแนกภาพในคลาวด์เพื่อตรวจจับคุณภาพผลไม้                                                                                       |                 [ฝึกตัวตรวจจับคุณภาพผลไม้](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [การผลิต](./4-manufacturing/README.md)   |           ตรวจสอบคุณภาพผลไม้จากอุปกรณ์ IoT            | เรียนรู้เกี่ยวกับการใช้ตัวตรวจจับคุณภาพผลไม้จากอุปกรณ์ IoT                                                                                                    |           [ตรวจสอบคุณภาพผลไม้จากอุปกรณ์ IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [การผลิต](./4-manufacturing/README.md)   |             รันตัวตรวจจับผลไม้ที่ขอบเครือข่าย             | เรียนรู้เกี่ยวกับการรันตัวตรวจจับผลไม้บนอุปกรณ์ IoT ที่ขอบเครือข่าย                                                                                                |             [รันตัวตรวจจับผลไม้ที่ขอบเครือข่าย](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [การผลิต](./4-manufacturing/README.md)   |        เรียกใช้การตรวจจับคุณภาพผลไม้จากเซ็นเซอร์        | เรียนรู้เกี่ยวกับการเรียกใช้การตรวจจับคุณภาพผลไม้จากเซ็นเซอร์                                                                                                        |        [เรียกใช้การตรวจจับคุณภาพผลไม้จากเซ็นเซอร์](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [ค้าปลีก](./5-retail/README.md)          |                   ฝึกตัวตรวจจับสินค้า                    | เรียนรู้วิธีการใช้การตรวจจับวัตถุเพื่อฝึกตัวตรวจจับสินค้าเพื่อการนับสินค้าในร้าน                                                                                |                        [ฝึกตัวตรวจจับสินค้า](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [ค้าปลีก](./5-retail/README.md)          |               ตรวจสอบสินค้าจากอุปกรณ์ IoT                | เรียนรู้วิธีการตรวจสอบสินค้าจากอุปกรณ์ IoT โดยใช้โมเดลการตรวจจับวัตถุ                                                                                         |                     [ตรวจสอบสินค้าจากอุปกรณ์ IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [ผู้บริโภค](./6-consumer/README.md)        |             การจดจำเสียงด้วยอุปกรณ์ IoT             | เรียนรู้วิธีการจดจำเสียงจากอุปกรณ์ IoT เพื่อสร้างตัวจับเวลาอัจฉริยะ                                                                                             |                  [การจดจำเสียงด้วยอุปกรณ์ IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [ผู้บริโภค](./6-consumer/README.md)        |                     เข้าใจภาษา                     | เรียนรู้วิธีการเข้าใจประโยคที่พูดกับอุปกรณ์ IoT                                                                                                           |                        [เข้าใจภาษา](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [ผู้บริโภค](./6-consumer/README.md)        |           ตั้งค่าตัวจับเวลาและให้ข้อมูลตอบกลับด้วยเสียง           | เรียนรู้วิธีการตั้งค่าตัวจับเวลาบนอุปกรณ์ IoT และให้ข้อมูลตอบกลับด้วยเสียงเมื่อมีการตั้งค่าตัวจับเวลาและเมื่อมันสิ้นสุด                                                    |                 [ตั้งค่าตัวจับเวลาและให้ข้อมูลตอบกลับด้วยเสียง](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [ผู้บริโภค](./6-consumer/README.md)        |                 รองรับหลายภาษา                  | เรียนรู้วิธีการรองรับหลายภาษา ทั้งการพูดและการตอบกลับจากตัวจับเวลาที่ชาญฉลาด                                                               |                   [รองรับหลายภาษา](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  24   |        [ผู้บริโภค](./6-consumer/README.md)        |                 รองรับหลายภาษา                  | เรียนรู้วิธีการรองรับหลายภาษา ทั้งการพูดกับอุปกรณ์และการตอบกลับจากตัวจับเวลาอัจฉริยะ                                                               |                   [รองรับหลายภาษา](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## การเข้าถึงแบบออฟไลน์
 
-คุณสามารถใช้งานเอกสารนี้แบบออฟไลน์ได้โดยใช้ [Docsify](https://docsify.js.org/#/). Fork repo นี้, [ติดตั้ง Docsify](https://docsify.js.org/#/quickstart) บนเครื่องของคุณ และในโฟลเดอร์ root ของ repo นี้ ให้พิมพ์ `docsify serve`. เว็บไซต์จะถูกให้บริการบนพอร์ต 3000 บน localhost ของคุณ: `localhost:3000`.
+คุณสามารถรันเอกสารนี้แบบออฟไลน์ได้โดยใช้ [Docsify](https://docsify.js.org/#/). Fork repo นี้, [ติดตั้ง Docsify](https://docsify.js.org/#/quickstart) บนเครื่องของคุณ และในโฟลเดอร์ root ของ repo นี้ ให้พิมพ์ `docsify serve`. เว็บไซต์จะถูกให้บริการบนพอร์ต 3000 บน localhost ของคุณ: `localhost:3000`.
 
 ## แบบทดสอบ
 
@@ -144,7 +148,8 @@ npm run convert
 
 ### สไลด์
 
-มีชุดสไลด์สำหรับบางบทเรียนในโฟลเดอร์ [slides](../../slides).
+มีเด็คสไลด์สำหรับบางบทเรียนในโฟลเดอร์ [slides](../../slides).
+
 
 ## หลักสูตรอื่น ๆ
 
@@ -167,26 +172,29 @@ npm run convert
 ---
 
 ### การเรียนรู้หลัก
-[![ML สำหรับผู้เริ่มต้น](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science สำหรับผู้เริ่มต้น](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI สำหรับผู้เริ่มต้น](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cybersecurity สำหรับผู้เริ่มต้น](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web Dev สำหรับผู้เริ่มต้น](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT สำหรับผู้เริ่มต้น](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR Development สำหรับผู้เริ่มต้น](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### ซีรีส์ Copilot  
-[![Copilot สำหรับการเขียนโปรแกรมคู่ด้วย AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot สำหรับ C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### ซีรีส์ Copilot
+[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## การให้เครดิตภาพ  
+## การให้เครดิตภาพ
 
-คุณสามารถค้นหาการให้เครดิตสำหรับภาพทั้งหมดที่ใช้ในหลักสูตรนี้ได้ใน [Attributions](./attributions.md)
+คุณสามารถดูเครดิตสำหรับภาพทั้งหมดที่ใช้ในหลักสูตรนี้ได้ใน [Attributions](./attributions.md)
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **ข้อจำกัดความรับผิดชอบ**:  
-เอกสารนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้ว่าเราจะพยายามให้การแปลมีความถูกต้อง แต่โปรดทราบว่าการแปลโดยอัตโนมัติอาจมีข้อผิดพลาดหรือความไม่ถูกต้อง เอกสารต้นฉบับในภาษาดั้งเดิมควรถือเป็นแหล่งข้อมูลที่เชื่อถือได้ สำหรับข้อมูลที่สำคัญ ขอแนะนำให้ใช้บริการแปลภาษามืออาชีพ เราจะไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดที่เกิดจากการใช้การแปลนี้
\ No newline at end of file
+เอกสารนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้ว่าเราจะพยายามให้การแปลมีความถูกต้อง แต่โปรดทราบว่าการแปลอัตโนมัติอาจมีข้อผิดพลาดหรือความไม่ถูกต้อง เอกสารต้นฉบับในภาษาต้นทางควรถือเป็นแหล่งข้อมูลที่เชื่อถือได้ สำหรับข้อมูลที่สำคัญ แนะนำให้ใช้บริการแปลภาษามนุษย์ที่เป็นมืออาชีพ เราไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดที่เกิดจากการใช้การแปลนี้
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/tl/README.md b/translations/tl/README.md
index 4826dacb8..23c90f452 100644
--- a/translations/tl/README.md
+++ b/translations/tl/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:19:27+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:57:32+00:00",
   "source_file": "README.md",
   "language_code": "tl"
 }
@@ -18,26 +18,33 @@ CO_OP_TRANSLATOR_METADATA:
 [![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### Sumali sa Komunidad ng Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-Sundin ang mga hakbang na ito upang magsimula sa paggamit ng mga resources na ito:
+Kung nahihirapan ka o may mga tanong tungkol sa paggawa ng AI apps, sumali sa mga kapwa mag-aaral at bihasang developer sa mga talakayan tungkol sa MCP. Ito ay isang suportadong komunidad kung saan malugod ang mga tanong at malayang ibinabahagi ang kaalaman.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Kung may feedback sa produkto o mga error habang gumagawa, bisitahin:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+Sundin ang mga hakbang na ito para makapagsimula sa paggamit ng mga resources na ito:
 1. **I-fork ang Repository**: I-click [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
 2. **I-clone ang Repository**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Sumali sa Azure AI Foundry Discord at makipagtagpo sa mga eksperto at kapwa developer**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Sumali sa Microsoft Foundry Discord at makipagkilala sa mga eksperto at kapwa developer**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Suporta sa Multi-Language
 
-#### Sinusuportahan sa pamamagitan ng GitHub Action (Automated & Laging Napapanahon)
+#### Sinusuportahan sa pamamagitan ng GitHub Action (Automated at Laging Napapanahon)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](./README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](./README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
-# IoT para sa mga Nagsisimula - Isang Kurikulum
+# IoT para sa mga Baguhan - Isang Kurikulum
 
-Ang Azure Cloud Advocates sa Microsoft ay masayang nag-aalok ng 12-linggong, 24 na aralin na kurikulum tungkol sa mga pangunahing kaalaman sa IoT. Ang bawat aralin ay may kasamang pre- at post-lesson na mga pagsusulit, nakasulat na mga tagubilin upang makumpleto ang aralin, solusyon, takdang-aralin, at marami pa. Ang aming project-based na paraan ng pagtuturo ay nagbibigay-daan sa iyo na matuto habang gumagawa, isang napatunayang paraan upang mas matutunan ang mga bagong kasanayan.
+Ang Azure Cloud Advocates sa Microsoft ay masayang nag-aalok ng 12-linggong, 24-aralin na kurikulum tungkol sa mga pangunahing kaalaman sa IoT. Ang bawat aralin ay may kasamang pre- at post-lesson na mga pagsusulit, nakasulat na mga tagubilin para tapusin ang aralin, solusyon, takdang-aralin, at marami pa. Ang aming project-based na paraan ng pagtuturo ay nagbibigay-daan sa iyo na matuto habang gumagawa, isang napatunayang paraan para mas matutunan ang mga bagong kasanayan.
 
-Ang mga proyekto ay sumasaklaw sa paglalakbay ng pagkain mula sa sakahan hanggang sa hapag-kainan. Kasama dito ang pagsasaka, logistics, pagmamanupaktura, retail, at consumer - lahat ng mga sikat na industriya para sa mga IoT device.
+Ang mga proyekto ay sumasaklaw sa paglalakbay ng pagkain mula sa sakahan hanggang sa mesa. Kasama dito ang pagsasaka, logistics, pagmamanupaktura, retail, at consumer - lahat ng mga sikat na industriya para sa mga IoT device.
 
 ![Isang roadmap para sa kurso na nagpapakita ng 24 na aralin na sumasaklaw sa intro, pagsasaka, transportasyon, pagproseso, retail, at pagluluto](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.tl.jpg)
 
@@ -55,9 +62,9 @@ Kilalanin ang team!
 
 > 🎥 I-click ang imahe sa itaas para sa isang video tungkol sa proyekto!
 
-> **Mga Guro**, mayroon kaming [ilang mga mungkahi](for-teachers.md) kung paano gamitin ang kurikulum na ito. Kung nais mong lumikha ng sarili mong mga aralin, isinama rin namin ang isang [template ng aralin](lesson-template/README.md).
+> **Mga Guro**, mayroon kaming [ilang mungkahi](for-teachers.md) kung paano gamitin ang kurikulum na ito. Kung nais mong gumawa ng sarili mong mga aralin, kasama rin namin ang isang [template ng aralin](lesson-template/README.md).
 
-> **[Mga Mag-aaral](https://aka.ms/student-page)**, upang gamitin ang kurikulum na ito nang mag-isa, i-fork ang buong repo at kumpletuhin ang mga aktibidad nang mag-isa, simula sa pre-lecture quiz, pagkatapos basahin ang lecture at kumpletuhin ang natitirang mga aktibidad. Subukang lumikha ng mga proyekto sa pamamagitan ng pag-unawa sa mga aralin sa halip na kopyahin ang solution code; gayunpaman, ang code na iyon ay makikita sa /solutions folders sa bawat project-oriented na aralin. Isa pang ideya ay ang bumuo ng study group kasama ang mga kaibigan at sabay-sabay na pag-aralan ang content. Para sa karagdagang pag-aaral, inirerekumenda namin ang [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+> **[Mga Mag-aaral](https://aka.ms/student-page)**, upang gamitin ang kurikulum na ito nang mag-isa, i-fork ang buong repo at tapusin ang mga aktibidad nang mag-isa, simula sa pre-lecture quiz, pagkatapos basahin ang lecture at tapusin ang iba pang mga aktibidad. Subukang gawin ang mga proyekto sa pamamagitan ng pag-unawa sa mga aralin sa halip na kopyahin ang solution code; gayunpaman, ang code na iyon ay makikita sa /solutions folders sa bawat project-oriented na aralin. Isa pang ideya ay bumuo ng isang study group kasama ang mga kaibigan at sabay-sabay na pag-aralan ang content. Para sa karagdagang pag-aaral, inirerekumenda namin ang [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
 Para sa isang video overview ng kursong ito, tingnan ang video na ito:
 
@@ -67,17 +74,17 @@ Para sa isang video overview ng kursong ito, tingnan ang video na ito:
 
 ## Pedagogy
 
-Pinili namin ang dalawang prinsipyo ng pagtuturo habang binubuo ang kurikulum na ito: tiyakin na ito ay nakabatay sa proyekto at may kasamang madalas na mga pagsusulit. Sa pagtatapos ng serye, ang mga mag-aaral ay makakabuo ng isang sistema para sa pag-monitor at pagdidilig ng halaman, isang tracker ng sasakyan, isang setup ng smart factory para sa pagsubaybay at pag-check ng pagkain, at isang voice-controlled na timer para sa pagluluto, at matutunan ang mga pangunahing kaalaman ng Internet of Things kabilang ang kung paano magsulat ng device code, kumonekta sa cloud, suriin ang telemetry, at magpatakbo ng AI sa edge.
+Pinili namin ang dalawang prinsipyo ng pagtuturo habang binubuo ang kurikulum na ito: tiyakin na ito ay project-based at may kasamang madalas na pagsusulit. Sa pagtatapos ng serye, ang mga mag-aaral ay makakabuo ng isang sistema para sa pag-monitor at pagdidilig ng halaman, isang tracker ng sasakyan, isang setup ng smart factory para sa pagsubaybay at pag-check ng pagkain, at isang voice-controlled na timer sa pagluluto, at matututunan ang mga pangunahing kaalaman ng Internet of Things kabilang ang kung paano magsulat ng device code, kumonekta sa cloud, suriin ang telemetry, at magpatakbo ng AI sa edge.
 
-Sa pamamagitan ng pagtiyak na ang content ay naaayon sa mga proyekto, ang proseso ay nagiging mas kawili-wili para sa mga mag-aaral at ang pagkatuto ng mga konsepto ay mas tumatatak.
+Sa pamamagitan ng pagtiyak na ang content ay naaayon sa mga proyekto, mas nagiging engaging ang proseso para sa mga mag-aaral at mas tumatatak ang mga konsepto.
 
-Bukod dito, ang pagsusulit na may mababang pressure bago ang klase ay nagtatakda ng intensyon ng mag-aaral patungo sa pag-aaral ng isang paksa, habang ang pangalawang pagsusulit pagkatapos ng klase ay nagtitiyak ng karagdagang pagkatuto. Ang kurikulum na ito ay idinisenyo upang maging flexible at masaya at maaaring kunin nang buo o bahagi lamang. Ang mga proyekto ay nagsisimula sa simple at nagiging mas kumplikado sa pagtatapos ng 12-linggong cycle.
+Bukod dito, ang low-stakes quiz bago ang klase ay nagtatakda ng intensyon ng mag-aaral patungo sa pag-aaral ng isang paksa, habang ang pangalawang pagsusulit pagkatapos ng klase ay nagtitiyak ng karagdagang retention. Ang kurikulum na ito ay idinisenyo upang maging flexible at masaya at maaaring kunin nang buo o bahagi lamang. Ang mga proyekto ay nagsisimula sa maliit at nagiging mas kumplikado sa pagtatapos ng 12-linggong cycle.
 
-Ang bawat proyekto ay nakabatay sa mga hardware na makukuha ng mga mag-aaral at hobbyists. Ang bawat proyekto ay tumitingin sa partikular na domain ng proyekto, nagbibigay ng kaugnay na kaalaman. Upang maging matagumpay na developer, nakakatulong na maunawaan ang domain kung saan ka nagso-solve ng mga problema. Ang pagbibigay ng kaalamang ito ay nagbibigay-daan sa mga mag-aaral na mag-isip tungkol sa kanilang mga solusyon sa IoT at mga natutunan sa konteksto ng uri ng totoong problema na maaaring hilingin sa kanila na lutasin bilang IoT developer. Natutunan ng mga mag-aaral ang 'bakit' ng mga solusyon na kanilang binubuo, at nagkakaroon ng pagpapahalaga sa end user.
+Ang bawat proyekto ay nakabase sa real-world hardware na available sa mga mag-aaral at hobbyists. Ang bawat proyekto ay tumitingin sa partikular na domain ng proyekto, na nagbibigay ng kaugnay na kaalaman. Upang maging matagumpay na developer, nakakatulong na maunawaan ang domain kung saan ka nagso-solve ng mga problema. Ang pagbibigay ng kaalamang ito ay nagbibigay-daan sa mga mag-aaral na pag-isipan ang kanilang mga IoT solution at mga natutunan sa konteksto ng uri ng real-world na problema na maaaring hilingin sa kanila na lutasin bilang IoT developer. Natutunan ng mga mag-aaral ang 'bakit' ng mga solusyon na kanilang ginagawa, at nagkakaroon ng pagpapahalaga sa end user.
 
 ## Hardware
 
-Mayroon kaming dalawang pagpipilian ng IoT hardware na maaaring gamitin para sa mga proyekto depende sa personal na kagustuhan, kaalaman sa programming language, mga layunin sa pag-aaral, at availability. Nagbigay din kami ng 'virtual hardware' na bersyon para sa mga walang access sa hardware, o nais matuto pa bago magdesisyon na bumili. Maaari mong basahin ang higit pa at makahanap ng 'shopping list' sa [hardware page](./hardware.md), kabilang ang mga link para bumili ng kumpletong kits mula sa aming mga kaibigan sa Seeed Studio.
+Mayroon kaming dalawang pagpipilian ng IoT hardware na maaaring gamitin para sa mga proyekto depende sa personal na kagustuhan, kaalaman sa programming language, mga layunin sa pag-aaral, o availability. Nagbigay din kami ng 'virtual hardware' na bersyon para sa mga walang access sa hardware, o nais matuto pa bago magdesisyon na bumili. Maaari mong basahin ang higit pa at makahanap ng 'shopping list' sa [hardware page](./hardware.md), kabilang ang mga link para bumili ng kumpletong kits mula sa aming mga kaibigan sa Seeed Studio.
 
 > 💁 Hanapin ang aming [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), at [Translation](TRANSLATIONS.md) guidelines. Malugod naming tinatanggap ang inyong mga konstruktibong feedback!
 
@@ -87,55 +94,54 @@ Mayroon kaming dalawang pagpipilian ng IoT hardware na maaaring gamitin para sa
 - opsyonal na supplemental video
 - pre-lesson warmup quiz
 - nakasulat na aralin
-- para sa mga project-based na aralin, step-by-step na gabay kung paano buuin ang proyekto
+- para sa mga project-based na aralin, step-by-step na gabay kung paano gawin ang proyekto
 - knowledge checks
 - isang hamon
 - supplemental na babasahin
 - takdang-aralin
 - [post-lesson quiz](https://ff-quizzes.netlify.app/en/)
-
-> **Isang tala tungkol sa mga pagsusulit**: Ang lahat ng pagsusulit ay nakapaloob sa quiz-app folder, para sa kabuuang 48 na pagsusulit na may tig-tatlong tanong bawat isa. Ang mga ito ay naka-link mula sa loob ng mga aralin ngunit ang quiz app ay maaaring patakbuhin nang lokal o i-deploy sa Azure; sundin ang mga tagubilin sa `quiz-app` folder. Ang mga ito ay unti-unting isinasalin.
+> **Isang paalala tungkol sa mga pagsusulit**: Ang lahat ng pagsusulit ay nasa loob ng folder na quiz-app, na may kabuuang 48 na pagsusulit na may tig-tatlong tanong bawat isa. Ang mga ito ay naka-link mula sa mga aralin ngunit maaaring patakbuhin ang quiz app nang lokal o i-deploy sa Azure; sundin ang mga tagubilin sa folder na `quiz-app`. Unti-unti itong isinasalin sa iba't ibang wika.
 
 ## Mga Aralin
 
 |       |              Pangalan ng Proyekto              |                       Mga Konseptong Itinuturo                       | Mga Layunin sa Pagkatuto                                                                                                                                                 |                                                        Naka-link na Aralin                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Pagsisimula](./1-getting-started/README.md) |                     Panimula sa IoT                     | Matutunan ang mga pangunahing prinsipyo ng IoT at ang mga pangunahing bahagi ng IoT solutions tulad ng sensors at cloud services habang inaayos ang iyong unang IoT device |                      [Panimula sa IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Pagsisimula](./1-getting-started/README.md) |                   Mas malalim na pag-aaral sa IoT                    | Matutunan ang higit pa tungkol sa mga bahagi ng isang IoT system, pati na rin ang microcontrollers at single-board computers                                                            |                        [Mas malalim na pag-aaral sa IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Pagsisimula](./1-getting-started/README.md) | Makipag-ugnayan sa pisikal na mundo gamit ang sensors at actuators | Matutunan ang tungkol sa sensors para makakuha ng datos mula sa pisikal na mundo, at actuators para magbigay ng feedback, habang gumagawa ng nightlight                                           | [Makipag-ugnayan sa pisikal na mundo gamit ang sensors at actuators](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Pagsisimula](./1-getting-started/README.md) |             Ikonekta ang iyong device sa Internet             | Matutunan kung paano ikonekta ang isang IoT device sa Internet para magpadala at tumanggap ng mga mensahe sa pamamagitan ng pagkonekta ng iyong nightlight sa isang MQTT broker                               |               [Ikonekta ang iyong device sa Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Farm](./2-farm/README.md)            |                    Hulaan ang paglaki ng halaman                     | Matutunan kung paano hulaan ang paglaki ng halaman gamit ang datos ng temperatura na nakukuha ng isang IoT device                                                                                  |                          [Hulaan ang paglaki ng halaman](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+| :---: | :--------------------------------------------: | :------------------------------------------------------------------: | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Pagsisimula](./1-getting-started/README.md)   |                     Panimula sa IoT                     | Matutunan ang mga pangunahing prinsipyo ng IoT at ang mga pangunahing bahagi ng IoT solutions tulad ng sensors at cloud services habang ina-setup ang iyong unang IoT device |                      [Panimula sa IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Pagsisimula](./1-getting-started/README.md)   |                   Mas malalim na pagtalakay sa IoT                    | Matutunan ang higit pa tungkol sa mga bahagi ng isang IoT system, pati na rin ang mga microcontrollers at single-board computers                                                            |                        [Mas malalim na pagtalakay sa IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Pagsisimula](./1-getting-started/README.md)   | Makipag-ugnayan sa pisikal na mundo gamit ang sensors at actuators | Matutunan ang tungkol sa sensors para mangolekta ng data mula sa pisikal na mundo, at actuators para magbigay ng feedback, habang gumagawa ng isang nightlight                                           | [Makipag-ugnayan sa pisikal na mundo gamit ang sensors at actuators](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Pagsisimula](./1-getting-started/README.md)   |             Ikonekta ang iyong device sa Internet             | Matutunan kung paano ikonekta ang isang IoT device sa Internet upang magpadala at tumanggap ng mga mensahe sa pamamagitan ng pagkonekta ng iyong nightlight sa isang MQTT broker                               |               [Ikonekta ang iyong device sa Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Farm](./2-farm/README.md)            |                    Hulaan ang paglago ng halaman                     | Matutunan kung paano hulaan ang paglago ng halaman gamit ang temperature data na nakolekta ng isang IoT device                                                                                  |                          [Hulaan ang paglago ng halaman](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [Farm](./2-farm/README.md)            |                    Tukuyin ang moisture ng lupa                     | Matutunan kung paano tukuyin ang moisture ng lupa at i-calibrate ang isang soil moisture sensor                                                                                              |                          [Tukuyin ang moisture ng lupa](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Farm](./2-farm/README.md)            |                  Awtomatikong pagdidilig ng halaman                   | Matutunan kung paano awtomatikong magdilig at mag-time ng pagdidilig gamit ang relay at MQTT                                                                                                      |                      [Awtomatikong pagdidilig ng halaman](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Farm](./2-farm/README.md)            |               Ilipat ang iyong halaman sa cloud               | Matutunan ang tungkol sa cloud at cloud-hosted IoT services at kung paano ikonekta ang iyong halaman sa isa sa mga ito sa halip na sa isang public MQTT broker                                   |               [Ilipat ang iyong halaman sa cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  07   |            [Farm](./2-farm/README.md)            |                  Awtomatikong pagdidilig ng halaman                   | Matutunan kung paano awtomatikong magdilig at mag-time ng pagdidilig gamit ang isang relay at MQTT                                                                                                      |                      [Awtomatikong pagdidilig ng halaman](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Farm](./2-farm/README.md)            |               Ilipat ang iyong halaman sa cloud               | Matutunan ang tungkol sa cloud at mga cloud-hosted IoT services at kung paano ikonekta ang iyong halaman sa isa sa mga ito sa halip na sa isang public MQTT broker                                   |               [Ilipat ang iyong halaman sa cloud](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
 |  09   |            [Farm](./2-farm/README.md)            |         Ilipat ang iyong application logic sa cloud         | Matutunan kung paano magsulat ng application logic sa cloud na tumutugon sa mga IoT messages                                                                          |         [Ilipat ang iyong application logic sa cloud](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Farm](./2-farm/README.md)            |                   Panatilihing ligtas ang iyong halaman                    | Matutunan ang tungkol sa seguridad sa IoT at kung paano panatilihing ligtas ang iyong halaman gamit ang mga keys at certificates                                                                          |                        [Panatilihing ligtas ang iyong halaman](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [Transport](./3-transport/README.md)       |                      Pagsubaybay ng lokasyon                      | Matutunan ang tungkol sa GPS location tracking para sa IoT devices                                                                                                                   |                           [Pagsubaybay ng lokasyon](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Transport](./3-transport/README.md)       |                     I-store ang datos ng lokasyon                     | Matutunan kung paano i-store ang IoT data para ma-visualize o ma-analisa sa hinaharap                                                                                                      |                         [I-store ang datos ng lokasyon](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Transport](./3-transport/README.md)       |                   I-visualize ang datos ng lokasyon                   | Matutunan ang tungkol sa pag-visualize ng datos ng lokasyon sa mapa, at kung paano nire-represent ng mga mapa ang totoong 3D na mundo sa 2D                                                            |                     [I-visualize ang datos ng lokasyon](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Matutunan ang tungkol sa geofences, at kung paano ito magagamit para magbigay ng alert kapag ang mga sasakyan sa supply chain ay malapit na sa kanilang destinasyon                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Manufacturing](./4-manufacturing/README.md)   |               Mag-train ng detector ng kalidad ng prutas                | Matutunan kung paano mag-train ng image classifier sa cloud para tukuyin ang kalidad ng prutas                                                                                       |                 [Mag-train ng detector ng kalidad ng prutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Manufacturing](./4-manufacturing/README.md)   |           Suriin ang kalidad ng prutas mula sa IoT device            | Matutunan kung paano gamitin ang iyong detector ng kalidad ng prutas mula sa isang IoT device                                                                                                    |           [Suriin ang kalidad ng prutas mula sa IoT device](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  11   |       [Transport](./3-transport/README.md)       |                      Pagsubaybay sa lokasyon                      | Matutunan ang tungkol sa GPS location tracking para sa mga IoT devices                                                                                                                   |                           [Pagsubaybay sa lokasyon](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [Transport](./3-transport/README.md)       |                     Mag-imbak ng data ng lokasyon                     | Matutunan kung paano mag-imbak ng IoT data upang ma-visualize o ma-analisa sa hinaharap                                                                                                      |                         [Mag-imbak ng data ng lokasyon](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Transport](./3-transport/README.md)       |                   I-visualize ang data ng lokasyon                   | Matutunan ang tungkol sa pag-visualize ng data ng lokasyon sa isang mapa, at kung paano nire-representa ng mga mapa ang totoong 3D na mundo sa 2D                                                            |                     [I-visualize ang data ng lokasyon](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Transport](./3-transport/README.md)       |                          Geofences                          | Matutunan ang tungkol sa geofences, at kung paano ito magagamit upang magbigay ng alerto kapag ang mga sasakyan sa supply chain ay malapit na sa kanilang destinasyon                                           |                                   [Geofences](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [Manufacturing](./4-manufacturing/README.md)   |               Mag-train ng detector ng kalidad ng prutas                | Matutunan kung paano mag-train ng image classifier sa cloud upang matukoy ang kalidad ng prutas                                                                                       |                 [Mag-train ng detector ng kalidad ng prutas](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Manufacturing](./4-manufacturing/README.md)   |           Suriin ang kalidad ng prutas mula sa isang IoT device            | Matutunan kung paano gamitin ang iyong detector ng kalidad ng prutas mula sa isang IoT device                                                                                                    |           [Suriin ang kalidad ng prutas mula sa isang IoT device](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [Manufacturing](./4-manufacturing/README.md)   |             Patakbuhin ang iyong detector ng prutas sa edge             | Matutunan kung paano patakbuhin ang iyong detector ng prutas sa isang IoT device sa edge                                                                                                |             [Patakbuhin ang iyong detector ng prutas sa edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Manufacturing](./4-manufacturing/README.md)   |        I-trigger ang detection ng kalidad ng prutas mula sa sensor        | Matutunan kung paano i-trigger ang detection ng kalidad ng prutas mula sa isang sensor                                                                                                        |        [I-trigger ang detection ng kalidad ng prutas mula sa sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Retail](./5-retail/README.md)          |                   Mag-train ng detector ng stock                    | Matutunan kung paano gamitin ang object detection para mag-train ng detector ng stock upang bilangin ang stock sa isang tindahan                                                                                |                        [Mag-train ng detector ng stock](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Retail](./5-retail/README.md)          |               Suriin ang stock mula sa IoT device                | Matutunan kung paano suriin ang stock mula sa isang IoT device gamit ang object detection model                                                                                         |                     [Suriin ang stock mula sa IoT device](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Consumer](./6-consumer/README.md)        |             Kilalanin ang pagsasalita gamit ang IoT device             | Matutunan kung paano kilalanin ang pagsasalita mula sa isang IoT device upang gumawa ng smart timer                                                                                             |                  [Kilalanin ang pagsasalita gamit ang IoT device](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  18   |   [Manufacturing](./4-manufacturing/README.md)   |        I-trigger ang detection ng kalidad ng prutas mula sa isang sensor        | Matutunan kung paano i-trigger ang detection ng kalidad ng prutas mula sa isang sensor                                                                                                        |        [I-trigger ang detection ng kalidad ng prutas mula sa isang sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Retail](./5-retail/README.md)          |                   Mag-train ng detector ng stock                    | Matutunan kung paano gamitin ang object detection upang mag-train ng detector ng stock para bilangin ang stock sa isang tindahan                                                                                |                        [Mag-train ng detector ng stock](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Retail](./5-retail/README.md)          |               Suriin ang stock mula sa isang IoT device                | Matutunan kung paano suriin ang stock mula sa isang IoT device gamit ang isang object detection model                                                                                         |                     [Suriin ang stock mula sa isang IoT device](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Consumer](./6-consumer/README.md)        |             Kilalanin ang pagsasalita gamit ang isang IoT device             | Matutunan kung paano kilalanin ang pagsasalita mula sa isang IoT device upang makabuo ng isang smart timer                                                                                             |                  [Kilalanin ang pagsasalita gamit ang isang IoT device](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [Consumer](./6-consumer/README.md)        |                     Unawain ang wika                     | Matutunan kung paano unawain ang mga pangungusap na sinasabi sa isang IoT device                                                                                                           |                        [Unawain ang wika](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Consumer](./6-consumer/README.md)        |           Mag-set ng timer at magbigay ng spoken feedback           | Matutunan kung paano mag-set ng timer sa isang IoT device at magbigay ng spoken feedback kung kailan na-set ang timer at kung kailan ito natapos                                                    |                 [Mag-set ng timer at magbigay ng spoken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Consumer](./6-consumer/README.md)        |                 Suportahan ang maraming wika                  | Matutunan kung paano suportahan ang maraming wika, parehong sinasabi sa device at ang mga tugon mula sa iyong smart timer                                                               |                   [Suportahan ang maraming wika](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  23   |        [Consumer](./6-consumer/README.md)        |           Mag-set ng timer at magbigay ng spoken feedback           | Matutunan kung paano mag-set ng timer sa isang IoT device at magbigay ng spoken feedback kung kailan na-set ang timer at kung kailan ito matatapos                                                    |                 [Mag-set ng timer at magbigay ng spoken feedback](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Consumer](./6-consumer/README.md)        |                 Suportahan ang maraming wika                  | Matutunan kung paano suportahan ang maraming wika, parehong sinasabi sa at ang mga tugon mula sa iyong smart timer                                                               |                   [Suportahan ang maraming wika](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Offline na access
 
-Pwede mong patakbuhin ang dokumentasyong ito offline gamit ang [Docsify](https://docsify.js.org/#/). I-fork ang repo na ito, [i-install ang Docsify](https://docsify.js.org/#/quickstart) sa iyong lokal na makina, at pagkatapos sa root folder ng repo na ito, i-type ang `docsify serve`. Ang website ay magsisilbi sa port 3000 sa iyong localhost: `localhost:3000`.
+Maaari mong patakbuhin ang dokumentasyong ito offline gamit ang [Docsify](https://docsify.js.org/#/). I-fork ang repo na ito, [i-install ang Docsify](https://docsify.js.org/#/quickstart) sa iyong lokal na makina, at pagkatapos sa root folder ng repo na ito, i-type ang `docsify serve`. Ang website ay magsisilbi sa port 3000 sa iyong localhost: `localhost:3000`.
 
-## Quiz
+## Pagsusulit
 
-Salamat sa komunidad para sa pagho-host ng interactive na quiz na sumusubok sa iyong kaalaman sa bawat kabanata. Pwede mong subukan ang iyong kaalaman [dito](https://ff-quizzes.netlify.app/en/) 
+Salamat sa komunidad para sa pagho-host ng interactive na pagsusulit na sumusubok sa iyong kaalaman sa bawat kabanata. Subukan ang iyong kaalaman [dito](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Pwede kang gumawa ng PDF ng nilalaman na ito para sa offline na access kung kinakailangan. Para gawin ito, siguraduhing mayroon kang [npm installed](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) at patakbuhin ang mga sumusunod na command sa root folder ng repo na ito:
+Maaari kang gumawa ng PDF ng nilalamang ito para sa offline na access kung kinakailangan. Upang gawin ito, tiyaking mayroon kang [npm installed](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) at patakbuhin ang mga sumusunod na command sa root folder ng repo na ito:
 
 ```sh
 npm i
@@ -144,51 +150,52 @@ npm run convert
 
 ### Slides
 
-May mga slide decks para sa ilang mga aralin sa [slides](../../slides) folder.
-
+May mga slide decks para sa ilang mga aralin sa folder na [slides](../../slides).
 
 ## Iba pang Kurikulum
 
 Ang aming team ay gumagawa ng iba pang kurikulum! Tingnan:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
-[![AZD para sa mga Baguhan](https://img.shields.io/badge/AZD%20para%20sa%20mga%20Baguhan-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI para sa mga Baguhan](https://img.shields.io/badge/Edge%20AI%20para%20sa%20mga%20Baguhan-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP para sa mga Baguhan](https://img.shields.io/badge/MCP%20para%20sa%20mga%20Baguhan-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents para sa mga Baguhan](https://img.shields.io/badge/AI%20Agents%20para%20sa%20mga%20Baguhan-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generative AI Series
-[![Generative AI para sa mga Baguhan](https://img.shields.io/badge/Generative%20AI%20para%20sa%20mga%20Baguhan-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Core Learning
-[![ML para sa Mga Nagsisimula](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Data Science para sa Mga Nagsisimula](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![AI para sa Mga Nagsisimula](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Cybersecurity para sa Mga Nagsisimula](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web Dev para sa Mga Nagsisimula](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT para sa Mga Nagsisimula](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR Development para sa Mga Nagsisimula](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Pangunahing Pag-aaral
+[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot Series  
-[![Copilot para sa AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot para sa C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Copilot Series
+[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Mga Pagkilala sa Larawan  
+## Mga Kredito ng Larawan
 
-Makikita mo ang lahat ng mga pagkilala para sa mga larawang ginamit sa kurikulum na ito kung kinakailangan sa [Attributions](./attributions.md).  
+Makikita mo ang lahat ng kredito para sa mga larawang ginamit sa kurikulum na ito kung kinakailangan sa [Attributions](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Paunawa**:  
-Ang dokumentong ito ay isinalin gamit ang AI translation service na [Co-op Translator](https://github.com/Azure/co-op-translator). Bagamat sinisikap naming maging tumpak, mangyaring tandaan na ang mga awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa kanyang katutubong wika ang dapat ituring na opisyal na pinagmulan. Para sa mahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na dulot ng paggamit ng pagsasaling ito.
\ No newline at end of file
+Ang dokumentong ito ay isinalin gamit ang AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Bagamat sinisikap naming maging tumpak, pakatandaan na ang mga awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa kanyang katutubong wika ang dapat ituring na opisyal na sanggunian. Para sa mahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na dulot ng paggamit ng pagsasaling ito.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/tr/README.md b/translations/tr/README.md
index 2f6587b5f..3e29d612e 100644
--- a/translations/tr/README.md
+++ b/translations/tr/README.md
@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:10:01+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:39:40+00:00",
   "source_file": "README.md",
   "language_code": "tr"
 }
@@ -11,53 +11,60 @@ CO_OP_TRANSLATOR_METADATA:
 [![GitHub katkıda bulunanlar](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
 [![GitHub sorunlar](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
 [![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PR'ler Hoş Geldiniz](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
 [![GitHub izleyiciler](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
 [![GitHub çatallar](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
 [![GitHub yıldızlar](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
-### Azure AI Foundry Topluluğuna Katılın 
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Azure AI Foundry Topluluğuna Katılın
+
+Eğer takılırsanız veya yapay zeka uygulamaları oluşturma konusunda sorularınız olursa, MCP hakkında tartışmalara katılın. Bu, soruların memnuniyetle karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur.
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+Eğer ürünle ilgili geri bildirimleriniz veya oluşturma sırasında hatalarınız varsa, ziyaret edin:
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
 
 Bu kaynakları kullanmaya başlamak için şu adımları izleyin:
-1. **Depoyu Çatallayın**: Tıklayın [![GitHub çatallar](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+1. **Depoyu Çatallayın**: [![GitHub çatallar](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork) bağlantısına tıklayın.
 2. **Depoyu Klonlayın**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Azure AI Foundry Discord'a Katılın ve uzmanlarla ve diğer geliştiricilerle tanışın**](https://discord.com/invite/ByRwuEEgH4)
+3. [**Microsoft Foundry Discord'a katılın ve uzmanlarla ve diğer geliştiricilerle tanışın**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 Çok Dilli Destek
 
-#### GitHub Action ile Destekleniyor (Otomatik ve Her Zaman Güncel)
+#### GitHub Action ile Desteklenir (Otomatik ve Her Zaman Güncel)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arapça](../ar/README.md) | [Bengalce](../bn/README.md) | [Bulgarca](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Çince (Basitleştirilmiş)](../zh/README.md) | [Çince (Geleneksel, Hong Kong)](../hk/README.md) | [Çince (Geleneksel, Macau)](../mo/README.md) | [Çince (Geleneksel, Tayvan)](../tw/README.md) | [Hırvatça](../hr/README.md) | [Çekçe](../cs/README.md) | [Danca](../da/README.md) | [Felemenkçe](../nl/README.md) | [Estonca](../et/README.md) | [Fince](../fi/README.md) | [Fransızca](../fr/README.md) | [Almanca](../de/README.md) | [Yunanca](../el/README.md) | [İbranice](../he/README.md) | [Hintçe](../hi/README.md) | [Macarca](../hu/README.md) | [Endonezce](../id/README.md) | [İtalyanca](../it/README.md) | [Japonca](../ja/README.md) | [Korece](../ko/README.md) | [Litvanca](../lt/README.md) | [Malayca](../ms/README.md) | [Marathi](../mr/README.md) | [Nepalce](../ne/README.md) | [Norveççe](../no/README.md) | [Farsça](../fa/README.md) | [Lehçe](../pl/README.md) | [Portekizce (Brezilya)](../br/README.md) | [Portekizce (Portekiz)](../pt/README.md) | [Pencapça (Gurmukhi)](../pa/README.md) | [Romence](../ro/README.md) | [Rusça](../ru/README.md) | [Sırpça (Kiril)](../sr/README.md) | [Slovakça](../sk/README.md) | [Slovence](../sl/README.md) | [İspanyolca](../es/README.md) | [Swahili](../sw/README.md) | [İsveççe](../sv/README.md) | [Tagalog (Filipince)](../tl/README.md) | [Tamilce](../ta/README.md) | [Tayca](../th/README.md) | [Türkçe](./README.md) | [Ukraynaca](../uk/README.md) | [Urduca](../ur/README.md) | [Vietnamca](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](./README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT for Beginners - Bir Müfredat
 
-Microsoft'taki Azure Cloud Advocates ekibi, IoT temelleri hakkında 12 haftalık, 24 derslik bir müfredat sunmaktan mutluluk duyuyor. Her ders, ders öncesi ve sonrası sınavlar, dersi tamamlamak için yazılı talimatlar, bir çözüm, bir ödev ve daha fazlasını içerir. Proje tabanlı pedagojimiz, yeni becerilerin 'kalıcı' olmasını sağlayan kanıtlanmış bir yöntem olan öğrenirken inşa etmenizi sağlar.
+Microsoft'taki Azure Cloud Advocates, IoT temelleri hakkında 12 haftalık, 24 derslik bir müfredat sunmaktan memnuniyet duyar. Her ders, ders öncesi ve sonrası sınavlar, dersi tamamlamak için yazılı talimatlar, bir çözüm, bir ödev ve daha fazlasını içerir. Proje tabanlı pedagojimiz, öğrenirken inşa etmenizi sağlar; bu, yeni becerilerin kalıcı olmasını sağlayan kanıtlanmış bir yöntemdir.
 
-Projeler, gıdanın çiftlikten sofraya yolculuğunu kapsar. Bu, tarım, lojistik, üretim, perakende ve tüketici gibi IoT cihazları için popüler endüstri alanlarını içerir.
+Projeler, yiyeceklerin çiftlikten sofraya yolculuğunu kapsar. Bu, tarım, lojistik, üretim, perakende ve tüketici gibi IoT cihazları için popüler endüstri alanlarını içerir.
 
 ![Kurs için bir yol haritası, giriş, tarım, taşıma, işleme, perakende ve yemek pişirme konularını kapsayan 24 dersi gösteriyor](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.tr.jpg)
 
 > Sketchnote [Nitya Narasimhan](https://github.com/nitya) tarafından. Daha büyük bir versiyon için resme tıklayın.
 
-**Yazarlarımıza [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ve sketchnote sanatçımız [Nitya Narasimhan](https://github.com/nitya) için içten teşekkürler.**
+**Yazarlarımıza [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) ve sketchnote sanatçımız [Nitya Narasimhan](https://github.com/nitya)'a içten teşekkürler.**
 
-**Ayrıca bu müfredatı gözden geçiren ve çeviren [Microsoft Learn Öğrenci Elçileri](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ekibimize teşekkürler - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) ve [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+**Ayrıca bu müfredatı gözden geçiren ve çeviren [Microsoft Learn Öğrenci Elçileri](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ekibimize teşekkürler - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), ve [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
 Ekibi tanıyın!
 
 [![Tanıtım videosu](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
-**Gif** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) tarafından
+**Gif** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) tarafından.
 
 > 🎥 Proje hakkında bir video için yukarıdaki resme tıklayın!
 
-> **Öğretmenler**, bu müfredatı nasıl kullanabileceğinizle ilgili [bazı öneriler](for-teachers.md) ekledik. Kendi derslerinizi oluşturmak isterseniz, bir [ders şablonu](lesson-template/README.md) da ekledik.
+> **Öğretmenler**, bu müfredatı nasıl kullanabileceğinizle ilgili [bazı öneriler](for-teachers.md) ekledik. Kendi derslerinizi oluşturmak isterseniz, [ders şablonu](lesson-template/README.md) da ekledik.
 
-> **[Öğrenciler](https://aka.ms/student-page)**, bu müfredatı kendi başınıza kullanmak için tüm depoyu çatallayın ve alıştırmaları kendi başınıza tamamlayın. Ders öncesi bir sınavla başlayın, ardından dersi okuyun ve diğer etkinlikleri tamamlayın. Dersleri anlayarak projeleri oluşturmaya çalışın, çözüm kodunu kopyalamaktan kaçının; ancak bu kod, her proje odaklı derste /solutions klasörlerinde mevcuttur. Başka bir fikir, arkadaşlarınızla bir çalışma grubu oluşturmak ve içeriği birlikte incelemek olabilir. Daha fazla çalışma için [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) öneriyoruz.
+> **[Öğrenciler](https://aka.ms/student-page)**, bu müfredatı kendi başınıza kullanmak için tüm depoyu çatallayın ve alıştırmaları kendi başınıza tamamlayın. Ders öncesi sınavla başlayın, ardından dersi okuyun ve diğer etkinlikleri tamamlayın. Dersleri anlayarak projeleri oluşturmaya çalışın, çözüm kodunu kopyalamaktan kaçının; ancak bu kod, her proje odaklı dersin /solutions klasörlerinde mevcuttur. Başka bir fikir, arkadaşlarınızla bir çalışma grubu oluşturmak ve içeriği birlikte incelemek olabilir. Daha fazla çalışma için [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) öneriyoruz.
 
 Bu kursun video genel bakışı için şu videoya göz atın:
 
@@ -67,17 +74,17 @@ Bu kursun video genel bakışı için şu videoya göz atın:
 
 ## Pedagoji
 
-Bu müfredatı oluştururken iki pedagojik ilkeyi seçtik: proje tabanlı olmasını ve sık sık sınavlar içermesini sağlamak. Bu serinin sonunda öğrenciler bir bitki izleme ve sulama sistemi, bir araç takip sistemi, yiyecekleri izlemek ve kontrol etmek için akıllı bir fabrika kurulumu ve ses kontrollü bir pişirme zamanlayıcısı oluşturmuş olacak ve Nesnelerin İnterneti'nin temellerini, cihaz kodu yazmayı, buluta bağlanmayı, telemetriyi analiz etmeyi ve uçta yapay zeka çalıştırmayı öğrenmiş olacaklar.
+Bu müfredatı oluştururken iki pedagojik ilkeyi benimsedik: proje tabanlı olmasını sağlamak ve sık sık sınavlar içermesi. Bu serinin sonunda, öğrenciler bir bitki izleme ve sulama sistemi, bir araç takip cihazı, yiyecekleri izlemek ve kontrol etmek için akıllı bir fabrika kurulumu ve ses kontrollü bir pişirme zamanlayıcısı oluşturmuş olacak ve Nesnelerin İnterneti'nin temellerini öğrenmiş olacaklar. Bu, cihaz kodu yazmayı, buluta bağlanmayı, telemetriyi analiz etmeyi ve uçta yapay zeka çalıştırmayı içerir.
 
 İçeriğin projelere uygun olmasını sağlayarak, süreç öğrenciler için daha ilgi çekici hale gelir ve kavramların kalıcılığı artırılır.
 
-Ayrıca, bir ders öncesi düşük riskli bir sınav, öğrencinin bir konuyu öğrenmeye yönelik niyetini belirlerken, ders sonrası ikinci bir sınav daha fazla kalıcılığı sağlar. Bu müfredat esnek ve eğlenceli olacak şekilde tasarlandı ve tamamı veya bir kısmı alınabilir. Projeler küçük başlar ve 12 haftalık döngünün sonunda giderek daha karmaşık hale gelir.
+Ayrıca, ders öncesi düşük riskli bir sınav, öğrencinin bir konuyu öğrenmeye yönelik niyetini belirlerken, ders sonrası ikinci bir sınav daha fazla kalıcılığı sağlar. Bu müfredat esnek ve eğlenceli olacak şekilde tasarlandı ve tamamı veya bir kısmı alınabilir. Projeler küçük başlar ve 12 haftalık döngünün sonunda giderek daha karmaşık hale gelir.
 
-Her proje, öğrencilere ve hobi sahiplerine sunulan gerçek dünya donanımları etrafında tasarlanmıştır. Her proje, ilgili arka plan bilgisini sağlayarak belirli proje alanını inceler. Başarılı bir geliştirici olmak, sorunları çözdüğünüz alanı anlamanıza yardımcı olur, bu arka plan bilgisi, öğrencilerin IoT çözümleri ve öğrenimleri hakkında gerçek dünya problemleri bağlamında düşünmelerine olanak tanır. Öğrenciler, oluşturdukları çözümlerin 'nedenini' öğrenir ve son kullanıcıya dair bir anlayış kazanır.
+Her proje, öğrencilere ve hobi sahiplerine uygun gerçek dünya donanımları etrafında tasarlanmıştır. Her proje, belirli bir proje alanını inceler ve ilgili arka plan bilgisini sağlar. Başarılı bir geliştirici olmak için, sorunları çözdüğünüz alanı anlamak önemlidir. Bu arka plan bilgisi, öğrencilerin IoT çözümleri ve öğrenimleri hakkında gerçek dünya problemleri bağlamında düşünmelerine olanak tanır. Öğrenciler, oluşturdukları çözümlerin 'nedenini' öğrenir ve son kullanıcıya dair bir takdir kazanır.
 
 ## Donanım
 
-Projeler için kişisel tercihlere, programlama dili bilgisine veya tercihlerine, öğrenme hedeflerine ve erişilebilirliğe bağlı olarak iki IoT donanım seçeneğimiz var. Ayrıca, donanıma erişimi olmayanlar veya satın almadan önce daha fazla bilgi edinmek isteyenler için bir 'sanal donanım' versiyonu sağladık. Daha fazla bilgi edinebilir ve Seeed Studio'daki arkadaşlarımızdan tam kitler satın almak için bağlantılar bulabilirsiniz [donanım sayfasında](./hardware.md).
+Projeler için kişisel tercihlere, programlama dili bilgisine veya tercihlerine, öğrenme hedeflerine ve erişilebilirliğe bağlı olarak iki IoT donanım seçeneğimiz var. Ayrıca, donanıma erişimi olmayanlar veya satın almadan önce daha fazla öğrenmek isteyenler için 'sanal donanım' versiyonu sağladık. Daha fazla bilgi edinebilir ve Seeed Studio'daki arkadaşlarımızdan tam kitler satın almak için bağlantılar bulabilirsiniz [donanım sayfasında](./hardware.md).
 
 > 💁 [Davranış Kurallarımızı](CODE_OF_CONDUCT.md), [Katkıda Bulunma](CONTRIBUTING.md) ve [Çeviri](TRANSLATIONS.md) yönergelerimizi bulun. Yapıcı geri bildirimlerinizi memnuniyetle karşılıyoruz!
 
@@ -87,55 +94,54 @@ Projeler için kişisel tercihlere, programlama dili bilgisine veya tercihlerine
 - isteğe bağlı ek video
 - ders öncesi ısınma sınavı
 - yazılı ders
-- proje tabanlı dersler için, projeyi nasıl oluşturacağınızı adım adım anlatan kılavuzlar
+- proje tabanlı dersler için, projeyi nasıl oluşturacağınızı adım adım anlatan rehberler
 - bilgi kontrolleri
 - bir meydan okuma
 - ek okuma
 - ödev
 - [ders sonrası sınav](https://ff-quizzes.netlify.app/en/)
-
-> **Sınavlar hakkında bir not**: Tüm sınavlar quiz-app klasöründe yer alır, her biri üç sorudan oluşan toplam 48 sınav vardır. Derslerin içinden bağlantı verilmiştir ancak sınav uygulaması yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları takip edin. Sınavlar kademeli olarak yerelleştirilmektedir.
+> **Quizler hakkında bir not**: Tüm quizler quiz-app klasöründe yer almakta olup, her biri üç sorudan oluşan toplam 48 quiz bulunmaktadır. Derslerin içinden bağlantı verilmiştir ancak quiz uygulaması yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları takip edin. Quizler kademeli olarak yerelleştirilmektedir.
 
 ## Dersler
 
 |       |              Proje Adı              |                       Öğretilen Kavramlar                       | Öğrenme Hedefleri                                                                                                                                                 |                                                        Bağlantılı Ders                                                         |
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [Başlarken](./1-getting-started/README.md) |                     IoT'ye Giriş                     | IoT'nin temel prensiplerini ve sensörler ile bulut hizmetleri gibi IoT çözümlerinin temel yapı taşlarını öğrenirken ilk IoT cihazınızı kurun |                      [IoT'ye Giriş](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [Başlarken](./1-getting-started/README.md) |                   IoT'ye Daha Derinlemesine Bakış                    | Bir IoT sisteminin bileşenleri, mikrodenetleyiciler ve tek kartlı bilgisayarlar hakkında daha fazla bilgi edinin                                                            |                        [IoT'ye Daha Derinlemesine Bakış](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Başlarken](./1-getting-started/README.md) | Sensörler ve Aktüatörlerle Fiziksel Dünya ile Etkileşim | Fiziksel dünyadan veri toplamak için sensörler ve geri bildirim göndermek için aktüatörler hakkında bilgi edinin, bir gece lambası yaparken öğrenin                                           | [Sensörler ve Aktüatörlerle Fiziksel Dünya ile Etkileşim](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [Başlarken](./1-getting-started/README.md) |             Cihazınızı İnternete Bağlayın             | IoT cihazınızı bir MQTT broker'a bağlayarak mesaj gönderip alabilmek için internete nasıl bağlayacağınızı öğrenin                               |               [Cihazınızı İnternete Bağlayın](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Tarım](./2-farm/README.md)            |                    Bitki Büyümesini Tahmin Etme                     | IoT cihazı tarafından yakalanan sıcaklık verilerini kullanarak bitki büyümesini nasıl tahmin edeceğinizi öğrenin                                                                                  |                          [Bitki Büyümesini Tahmin Etme](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Tarım](./2-farm/README.md)            |                    Toprak Nemini Algılama                     | Toprak nemini nasıl algılayacağınızı ve bir toprak nem sensörünü nasıl kalibre edeceğinizi öğrenin                                                                                              |                          [Toprak Nemini Algılama](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Tarım](./2-farm/README.md)            |                  Otomatik Bitki Sulama                   | Bir röle ve MQTT kullanarak sulamayı nasıl otomatikleştireceğinizi ve zamanlayacağınızı öğrenin                                                                                                      |                      [Otomatik Bitki Sulama](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Tarım](./2-farm/README.md)            |               Bitkinizi Buluta Taşıyın               | Bulut ve bulut barındırmalı IoT hizmetleri hakkında bilgi edinin ve bitkinizi genel bir MQTT broker yerine bunlardan birine nasıl bağlayacağınızı öğrenin                                   |               [Bitkinizi Buluta Taşıyın](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+| :---: | :----------------------------------: | :-------------------------------------------------------------: | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Başlarken](./1-getting-started/README.md) |                     IoT'ye Giriş                     | IoT'nin temel prensiplerini ve sensörler ile bulut hizmetleri gibi IoT çözümlerinin temel yapı taşlarını öğrenirken ilk IoT cihazınızı kurmayı öğrenin |                      [IoT'ye Giriş](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [Başlarken](./1-getting-started/README.md) |                   IoT'ye Daha Derinlemesine Bakış                    | Bir IoT sisteminin bileşenlerini, mikrodenetleyicileri ve tek kartlı bilgisayarları daha detaylı öğrenin                                                            |                        [IoT'ye Daha Derinlemesine Bakış](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [Başlarken](./1-getting-started/README.md) | Sensörler ve Aktüatörlerle Fiziksel Dünya ile Etkileşim | Fiziksel dünyadan veri toplamak için sensörleri ve geri bildirim göndermek için aktüatörleri öğrenin, gece lambası yaparken bunları uygulayın                                           | [Sensörler ve Aktüatörlerle Fiziksel Dünya ile Etkileşim](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [Başlarken](./1-getting-started/README.md) |             Cihazınızı İnternete Bağlayın             | IoT cihazınızı internete bağlayarak mesaj gönderip almayı öğrenin, gece lambanızı bir MQTT broker'a bağlayın                               |               [Cihazınızı İnternete Bağlayın](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [Tarım](./2-farm/README.md)            |                    Bitki Büyümesini Tahmin Et                     | IoT cihazı tarafından yakalanan sıcaklık verilerini kullanarak bitki büyümesini tahmin etmeyi öğrenin                                                                                  |                          [Bitki Büyümesini Tahmin Et](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Tarım](./2-farm/README.md)            |                    Toprak Nemini Tespit Et                     | Toprak nemini tespit etmeyi ve bir toprak nem sensörünü kalibre etmeyi öğrenin                                                                                              |                          [Toprak Nemini Tespit Et](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Tarım](./2-farm/README.md)            |                  Otomatik Bitki Sulama                   | Bir röle ve MQTT kullanarak sulamayı otomatikleştirmeyi ve zamanlamayı öğrenin                                                                                                      |                      [Otomatik Bitki Sulama](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Tarım](./2-farm/README.md)            |               Bitkinizi Buluta Taşıyın               | Bulut ve bulut barındırmalı IoT hizmetleri hakkında bilgi edinin ve bitkinizi bir genel MQTT broker yerine bunlardan birine bağlamayı öğrenin                                   |               [Bitkinizi Buluta Taşıyın](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
 |  09   |            [Tarım](./2-farm/README.md)            |         Uygulama Mantığınızı Buluta Taşıyın         | IoT mesajlarına yanıt veren uygulama mantığını bulutta nasıl yazabileceğinizi öğrenin                                                                          |         [Uygulama Mantığınızı Buluta Taşıyın](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
 |  10   |            [Tarım](./2-farm/README.md)            |                   Bitkinizi Güvende Tutun                    | IoT ile güvenlik hakkında bilgi edinin ve bitkinizi anahtarlar ve sertifikalarla nasıl güvende tutacağınızı öğrenin                                                                          |                        [Bitkinizi Güvende Tutun](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Taşımacılık](./3-transport/README.md)       |                      Konum Takibi                      | IoT cihazları için GPS konum takibi hakkında bilgi edinin                                                                                                                   |                           [Konum Takibi](./3-transport/lessons/1-location-tracking/README.md)                           |
 |  12   |       [Taşımacılık](./3-transport/README.md)       |                     Konum Verilerini Depolama                     | IoT verilerini daha sonra görselleştirmek veya analiz etmek için nasıl depolayacağınızı öğrenin                                                                                                      |                         [Konum Verilerini Depolama](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Taşımacılık](./3-transport/README.md)       |                   Konum Verilerini Görselleştirme                   | Haritalarda konum verilerini görselleştirme ve haritaların gerçek 3D dünyayı 2 boyutta nasıl temsil ettiğini öğrenin                                                            |                     [Konum Verilerini Görselleştirme](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  13   |       [Taşımacılık](./3-transport/README.md)       |                   Konum Verilerini Görselleştirme                   | Haritalar üzerinde konum verilerini görselleştirmeyi ve haritaların gerçek 3D dünyayı 2 boyutta nasıl temsil ettiğini öğrenin                                                            |                     [Konum Verilerini Görselleştirme](./3-transport/lessons/3-visualize-location-data/README.md)                     |
 |  14   |       [Taşımacılık](./3-transport/README.md)       |                          Coğrafi Çitler                          | Coğrafi çitler hakkında bilgi edinin ve tedarik zincirindeki araçlar varış noktalarına yaklaştığında nasıl uyarı alabileceğinizi öğrenin                                           |                                   [Coğrafi Çitler](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [Üretim](./4-manufacturing/README.md)   |               Meyve Kalitesi Dedektörü Eğitme                | Meyve kalitesini tespit etmek için bulutta bir görüntü sınıflandırıcıyı nasıl eğiteceğinizi öğrenin                                                                                       |                 [Meyve Kalitesi Dedektörü Eğitme](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Üretim](./4-manufacturing/README.md)   |           IoT Cihazından Meyve Kalitesini Kontrol Etme            | IoT cihazından meyve kalitesi dedektörünüzü nasıl kullanacağınızı öğrenin                                                                                                    |           [IoT Cihazından Meyve Kalitesini Kontrol Etme](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [Üretim](./4-manufacturing/README.md)   |             Meyve Dedektörünüzü Uçta Çalıştırma             | Meyve dedektörünüzü uçta bir IoT cihazında nasıl çalıştıracağınızı öğrenin                                                                                                |             [Meyve Dedektörünüzü Uçta Çalıştırma](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Üretim](./4-manufacturing/README.md)   |        Sensörden Meyve Kalitesi Tespiti Tetikleme        | Sensörden meyve kalitesi tespitini nasıl tetikleyeceğinizi öğrenin                                                                                                        |        [Sensörden Meyve Kalitesi Tespiti Tetikleme](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Perakende](./5-retail/README.md)          |                   Stok Dedektörü Eğitme                    | Bir mağazada stok saymak için bir stok dedektörünü nesne algılama ile nasıl eğiteceğinizi öğrenin                                                                                |                        [Stok Dedektörü Eğitme](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Perakende](./5-retail/README.md)          |               IoT Cihazından Stok Kontrol Etme                | Nesne algılama modeli kullanarak IoT cihazından stok kontrolünü nasıl yapacağınızı öğrenin                                                                                         |                     [IoT Cihazından Stok Kontrol Etme](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Tüketici](./6-consumer/README.md)        |             IoT Cihazıyla Konuşmayı Tanıma             | Akıllı bir zamanlayıcı oluşturmak için IoT cihazından konuşmayı nasıl tanıyacağınızı öğrenin                                                                                             |                  [IoT Cihazıyla Konuşmayı Tanıma](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [Tüketici](./6-consumer/README.md)        |                     Dili Anlama                     | IoT cihazına söylenen cümleleri nasıl anlayacağınızı öğrenin                                                                                                           |                        [Dili Anlama](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Tüketici](./6-consumer/README.md)        |           Zamanlayıcı Ayarlama ve Sesli Geri Bildirim Sağlama           | IoT cihazında bir zamanlayıcı nasıl ayarlayacağınızı ve zamanlayıcı ayarlandığında ve bittiğinde sesli geri bildirim nasıl vereceğinizi öğrenin                                                    |                 [Zamanlayıcı Ayarlama ve Sesli Geri Bildirim Sağlama](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [Tüketici](./6-consumer/README.md)        |                 Birden Fazla Dili Destekleme                  | Hem konuşulan hem de akıllı zamanlayıcınızın yanıtlarının birden fazla dili nasıl destekleyeceğini öğrenin                                                               |                   [Birden Fazla Dili Destekleme](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  15   |   [Üretim](./4-manufacturing/README.md)   |               Meyve Kalitesi Dedektörü Eğitimi                | Meyve kalitesini tespit etmek için bulutta bir görüntü sınıflandırıcı eğitimi hakkında bilgi edinin                                                                                       |                 [Meyve Kalitesi Dedektörü Eğitimi](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [Üretim](./4-manufacturing/README.md)   |           IoT Cihazından Meyve Kalitesini Kontrol Et            | IoT cihazından meyve kalitesi dedektörünüzü kullanmayı öğrenin                                                                                                    |           [IoT Cihazından Meyve Kalitesini Kontrol Et](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [Üretim](./4-manufacturing/README.md)   |             Meyve Dedektörünüzü Kenarda Çalıştırın             | Meyve dedektörünüzü kenarda bir IoT cihazında çalıştırmayı öğrenin                                                                                                |             [Meyve Dedektörünüzü Kenarda Çalıştırın](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [Üretim](./4-manufacturing/README.md)   |        Sensörden Meyve Kalitesi Tespiti Tetikleme        | Sensörden meyve kalitesi tespiti tetiklemeyi öğrenin                                                                                                        |        [Sensörden Meyve Kalitesi Tespiti Tetikleme](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Perakende](./5-retail/README.md)          |                   Stok Dedektörü Eğitimi                    | Bir mağazada stok saymak için nesne algılama kullanarak bir stok dedektörü eğitimi hakkında bilgi edinin                                                                                |                        [Stok Dedektörü Eğitimi](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Perakende](./5-retail/README.md)          |               IoT Cihazından Stok Kontrolü                | Nesne algılama modeli kullanarak bir IoT cihazından stok kontrolü yapmayı öğrenin                                                                                         |                     [IoT Cihazından Stok Kontrolü](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [Tüketici](./6-consumer/README.md)        |             IoT Cihazıyla Konuşmayı Tanıma             | Akıllı bir zamanlayıcı oluşturmak için bir IoT cihazından konuşmayı tanımayı öğrenin                                                                                             |                  [IoT Cihazıyla Konuşmayı Tanıma](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [Tüketici](./6-consumer/README.md)        |                     Dili Anlama                     | IoT cihazına söylenen cümleleri anlamayı öğrenin                                                                                                           |                        [Dili Anlama](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [Tüketici](./6-consumer/README.md)        |           Zamanlayıcı Ayarla ve Sesli Geri Bildirim Sağla           | IoT cihazında bir zamanlayıcı ayarlamayı ve zamanlayıcı ayarlandığında ve bittiğinde sesli geri bildirim vermeyi öğrenin                                                    |                 [Zamanlayıcı Ayarla ve Sesli Geri Bildirim Sağla](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [Tüketici](./6-consumer/README.md)        |                 Birden Fazla Dili Destekle                  | Hem konuşulan hem de akıllı zamanlayıcınızın yanıtları için birden fazla dili desteklemeyi öğrenin                                                               |                   [Birden Fazla Dili Destekle](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Çevrimdışı Erişim
 
-Bu dokümantasyonu [Docsify](https://docsify.js.org/#/) kullanarak çevrimdışı çalıştırabilirsiniz. Bu repoyu çatallayın, [Docsify'i yükleyin](https://docsify.js.org/#/quickstart) yerel makinenize ve ardından bu repounun kök klasöründe `docsify serve` yazın. Web sitesi localhost'ta 3000 portunda sunulacaktır: `localhost:3000`.
+Bu dokümantasyonu [Docsify](https://docsify.js.org/#/) kullanarak çevrimdışı çalıştırabilirsiniz. Bu repoyu fork edin, [Docsify'i yükleyin](https://docsify.js.org/#/quickstart) ve ardından bu repounun kök klasöründe `docsify serve` yazın. Web sitesi localhost'unuzda 3000 portunda çalıştırılacaktır: `localhost:3000`.
 
 ## Quiz
 
-Her bölümdeki bilginizi test eden interaktif quiz için topluluğa teşekkürler. Bilginizi [burada](https://ff-quizzes.netlify.app/en/) test edebilirsiniz.
+Her bir bölümdeki bilginizi test eden interaktif quiz için topluluğa teşekkürler. Bilginizi [buradan test edebilirsiniz](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Bu içeriği çevrimdışı erişim için bir PDF olarak oluşturabilirsiniz. Bunun için [npm yüklediğinizden](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) emin olun ve bu repounun kök klasöründe aşağıdaki komutları çalıştırın:
+Bu içeriği çevrimdışı erişim için PDF olarak oluşturabilirsiniz. Bunun için [npm yüklediğinizden](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) emin olun ve bu repounun kök klasöründe aşağıdaki komutları çalıştırın:
 
 ```sh
 npm i
@@ -144,14 +150,13 @@ npm run convert
 
 ### Slaytlar
 
-Bazı dersler için [slaytlar](../../slides) klasöründe slayt desteleri bulunmaktadır.
+Bazı dersler için [slaytlar](../../slides) klasöründe slayt setleri bulunmaktadır.
 
 
 ## Diğer Müfredatlar
 
-Ekibimiz başka müfredatlar da üretiyor! Göz atın:
+Ekibimiz başka müfredatlar da üretmektedir! Şunlara göz atın:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,36 +164,39 @@ Ekibimiz başka müfredatlar da üretiyor! Göz atın:
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Generative AI Serisi
+
+### Üretken AI Serisi
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Üretici Yapay Zeka (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Temel Öğrenme
-[![Yeni Başlayanlar için ML](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
-[![Yeni Başlayanlar için Veri Bilimi](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
-[![Yeni Başlayanlar için Yapay Zeka](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
-[![Yeni Başlayanlar için Siber Güvenlik](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
-[![Yeni Başlayanlar için Web Geliştirme](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
-[![Yeni Başlayanlar için IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
-[![Yeni Başlayanlar için XR Geliştirme](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
+
+### Temel Öğrenim
+[![Başlangıç Seviyesi Makine Öğrenimi](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Başlangıç Seviyesi Veri Bilimi](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![Başlangıç Seviyesi Yapay Zeka](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Başlangıç Seviyesi Siber Güvenlik](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Başlangıç Seviyesi Web Geliştirme](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![Başlangıç Seviyesi IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Başlangıç Seviyesi XR Geliştirme](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### Copilot Serisi
-[![AI ile Eşli Programlama için Copilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![AI Destekli Programlama için Copilot](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
 [![C#/.NET için Copilot](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
 [![Copilot Macerası](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
 ## Görsel Atıfları
 
-Bu müfredatta kullanılan görsellerin gerekli olduğu yerlerdeki tüm atıflar [Atıflar](./attributions.md) dosyasında bulunabilir.
+Bu müfredatta kullanılan görsellerin gerekli olduğu yerlerdeki tüm atıfları [Atıflar](./attributions.md) bölümünde bulabilirsiniz.
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Feragatname**:  
-Bu belge, AI çeviri hizmeti [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çeviriler hata veya yanlışlıklar içerebilir. Belgenin orijinal dili, yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımından kaynaklanan yanlış anlamalar veya yanlış yorumlamalar için sorumluluk kabul etmiyoruz.
\ No newline at end of file
+Bu belge, [Co-op Translator](https://github.com/Azure/co-op-translator) adlı yapay zeka çeviri hizmeti kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çevirilerin hata veya yanlışlıklar içerebileceğini lütfen unutmayın. Belgenin orijinal dilindeki hali, yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımından kaynaklanan yanlış anlamalar veya yanlış yorumlamalar için sorumluluk kabul edilmez.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/tw/README.md b/translations/tw/README.md
index 5ccd38dfe..9c0a303d8 100644
--- a/translations/tw/README.md
+++ b/translations/tw/README.md
@@ -1,51 +1,58 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:00:05+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:21:23+00:00",
   "source_file": "README.md",
   "language_code": "tw"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub 授權](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
+[![GitHub 貢獻者](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
+[![GitHub 問題](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
+[![GitHub 拉取請求](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
+[![PRs 歡迎](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub 追蹤者](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
+[![GitHub 分叉](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
+[![GitHub 星星](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
 
 ### 加入 Azure AI Foundry 社群
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-按照以下步驟開始使用這些資源：
-1. **Fork 儲存庫**：點擊 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Clone 儲存庫**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**加入 Azure AI Foundry Discord，與專家和其他開發者交流**](https://discord.com/invite/ByRwuEEgH4)
+如果您在建立 AI 應用程式時遇到困難或有任何問題，歡迎加入其他學習者和有經驗的開發者，參與 MCP 的討論。這是一個支持性的社群，歡迎提問並自由分享知識。
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+如果您有產品回饋或在建置過程中遇到錯誤，請造訪：
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+請按照以下步驟開始使用這些資源：
+1. **分叉此儲存庫**：點擊 [![GitHub 分叉](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
+2. **複製此儲存庫**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`
+3. [**加入 Microsoft Foundry Discord，與專家和其他開發者交流**](https://discord.com/invite/ByRwuEEgH4)
 
 ### 🌐 多語言支援
 
 #### 透過 GitHub Action 支援（自動化且始終保持最新）
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[阿拉伯語](../ar/README.md) | [孟加拉語](../bn/README.md) | [保加利亞語](../bg/README.md) | [緬甸語](../my/README.md) | [中文（簡體）](../zh/README.md) | [中文（繁體，香港）](../hk/README.md) | [中文（繁體，澳門）](../mo/README.md) | [中文（繁體，台灣）](./README.md) | [克羅埃西亞語](../hr/README.md) | [捷克語](../cs/README.md) | [丹麥語](../da/README.md) | [荷蘭語](../nl/README.md) | [愛沙尼亞語](../et/README.md) | [芬蘭語](../fi/README.md) | [法語](../fr/README.md) | [德語](../de/README.md) | [希臘語](../el/README.md) | [希伯來語](../he/README.md) | [印地語](../hi/README.md) | [匈牙利語](../hu/README.md) | [印尼語](../id/README.md) | [義大利語](../it/README.md) | [日語](../ja/README.md) | [韓語](../ko/README.md) | [立陶宛語](../lt/README.md) | [馬來語](../ms/README.md) | [馬拉地語](../mr/README.md) | [尼泊爾語](../ne/README.md) | [挪威語](../no/README.md) | [波斯語（法爾西語）](../fa/README.md) | [波蘭語](../pl/README.md) | [葡萄牙語（巴西）](../br/README.md) | [葡萄牙語（葡萄牙）](../pt/README.md) | [旁遮普語（古木基文）](../pa/README.md) | [羅馬尼亞語](../ro/README.md) | [俄語](../ru/README.md) | [塞爾維亞語（西里爾文）](../sr/README.md) | [斯洛伐克語](../sk/README.md) | [斯洛文尼亞語](../sl/README.md) | [西班牙語](../es/README.md) | [斯瓦希里語](../sw/README.md) | [瑞典語](../sv/README.md) | [他加祿語（菲律賓語）](../tl/README.md) | [泰米爾語](../ta/README.md) | [泰語](../th/README.md) | [土耳其語](../tr/README.md) | [烏克蘭語](../uk/README.md) | [烏爾都語](../ur/README.md) | [越南語](../vi/README.md)
+[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [中文（簡體）](../zh/README.md) | [中文（繁體，香港）](../hk/README.md) | [中文（繁體，澳門）](../mo/README.md) | [中文（繁體，台灣）](./README.md) | [克羅埃西亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [義大利文](../it/README.md) | [日文](../ja/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [奈及利亞皮欽語](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文（巴西）](../br/README.md) | [葡萄牙文（葡萄牙）](../pt/README.md) | [旁遮普文](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文（西里爾字母）](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛維尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [他加祿文（菲律賓）](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT 初學者 - 課程
 
-Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24 節課的課程，內容涵蓋 IoT 基礎知識。每節課包括課前和課後測驗、完成課程的書面指導、解決方案、作業等。我們的專案式教學法讓您在建造中學習，這是一種能讓新技能更牢固的有效方法。
+Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24 課的課程，內容涵蓋 IoT 基礎知識。每堂課包含課前和課後測驗、完成課程的書面指導、解決方案、作業等。我們的專案式教學法讓您在建置中學習，這是一種能讓新技能更容易記住的有效方法。
 
-這些專案涵蓋了食物從農場到餐桌的旅程，包括農業、物流、製造、零售和消費者——這些都是 IoT 設備的熱門行業領域。
+這些專案涵蓋食物從農場到餐桌的旅程，包括農業、物流、製造、零售和消費者——這些都是 IoT 設備的熱門行業領域。
 
-![課程的路線圖，顯示涵蓋介紹、農業、運輸、加工、零售和烹飪的 24 節課](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.tw.jpg)
+![課程的路線圖，顯示 24 堂課涵蓋介紹、農業、運輸、加工、零售和烹飪](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.tw.jpg)
 
-> 由 [Nitya Narasimhan](https://github.com/nitya) 繪製的手繪筆記。點擊圖片查看更大版本。
+> 由 [Nitya Narasimhan](https://github.com/nitya) 繪製的手繪筆記。點擊圖片查看更大的版本。
 
 **衷心感謝我們的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett)，以及我們的手繪筆記藝術家 [Nitya Narasimhan](https://github.com/nitya)。**
 
-**同時感謝我們的 [Microsoft Learn 學生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他們已經審核並翻譯了這份課程 - [Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、以及 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
+**同時感謝我們的 [Microsoft Learn 學生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他們審核並翻譯了這份課程 - [Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform)、以及 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
 
 認識團隊！
 
@@ -55,11 +62,11 @@ Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24
 
 > 🎥 點擊上方圖片觀看專案介紹影片！
 
-> **教師們**，我們提供了一些[建議](for-teachers.md)來幫助您使用這份課程。如果您想創建自己的課程，我們也提供了[課程模板](lesson-template/README.md)。
+> **教師們**，我們提供了一些建議，說明如何使用這份課程。如果您想要創建自己的課程，我們也提供了 [課程模板](lesson-template/README.md)。
 
-> **[學生們](https://aka.ms/student-page)**，如果您想自行使用這份課程，請 Fork 整個儲存庫並自行完成練習，從課前測驗開始，然後閱讀課程並完成其他活動。嘗試透過理解課程內容來創建專案，而不是直接複製解決方案代碼；不過，這些代碼可以在每個專案導向課程的 /solutions 資料夾中找到。另一個想法是與朋友組成學習小組，一起學習內容。若需進一步學習，我們推薦 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
+> **[學生們](https://aka.ms/student-page)**，如果您想自行使用這份課程，請分叉整個儲存庫並自行完成練習，從課前測驗開始，然後閱讀課程內容並完成其他活動。嘗試透過理解課程來創建專案，而不是直接複製解決方案程式碼；不過，該程式碼可在每個專案導向課程的 /solutions 資料夾中找到。另一個想法是與朋友組成學習小組，一起學習內容。若需進一步學習，我們推薦 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
 
-觀看課程概述影片，請查看以下影片：
+觀看此課程的影片概述，請查看以下影片：
 
 [![宣傳影片](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "宣傳影片")
 
@@ -67,75 +74,74 @@ Microsoft 的 Azure Cloud Advocates 很高興提供一個為期 12 週、共 24
 
 ## 教學法
 
-在設計這份課程時，我們選擇了兩個教學原則：確保它是專案導向的，並且包含頻繁的測驗。到本系列結束時，學生將完成植物監測和灌溉系統、車輛追蹤器、智慧工廠設置以追蹤和檢查食品，以及語音控制的烹飪計時器，並學習 IoT 的基礎知識，包括如何編寫設備代碼、連接雲端、分析遙測數據以及在邊緣運行 AI。
+在設計這份課程時，我們選擇了兩個教學原則：確保它是專案導向的，並且包含頻繁的測驗。在這系列課程結束時，學生將建置一個植物監測和灌溉系統、一個車輛追蹤器、一個智慧工廠設置來追蹤和檢查食物，以及一個語音控制的烹飪計時器，並學習 IoT 的基礎知識，包括如何撰寫設備程式碼、連接雲端、分析遙測數據以及在邊緣執行 AI。
 
-透過確保內容與專案相符，學習過程對學生來說更具吸引力，概念的記憶也會得到增強。
+透過確保內容與專案相符，學習過程對學生來說更具吸引力，並能增強概念的記憶。
 
-此外，課前的低壓測驗能讓學生專注於學習主題，而課後的第二次測驗則能進一步加強記憶。這份課程設計靈活有趣，可以完整學習或部分學習。專案從簡單開始，到 12 週課程結束時逐漸變得複雜。
+此外，課前的低壓力測驗能讓學生專注於學習主題，而課後的第二次測驗則能進一步加強記憶。這份課程設計靈活有趣，可以完整學習或部分學習。專案從簡單開始，並在 12 週的循環結束時逐漸變得複雜。
 
-每個專案都基於學生和愛好者可用的真實硬體。每個專案都深入探討特定的專案領域，提供相關背景知識。成為成功的開發者需要了解您正在解決問題的領域，提供這些背景知識能讓學生在解決 IoT 問題和學習時，能以真實世界問題的角度思考。學生學習他們正在構建解決方案的「原因」，並對最終使用者有更深的理解。
+每個專案都基於學生和愛好者可獲得的真實硬體。每個專案都深入探討特定的專案領域，提供相關背景知識。要成為成功的開發者，了解您正在解決問題的領域非常重要，提供這些背景知識能讓學生在解決 IoT 問題和學習時，能以真實世界的問題為背景進行思考。學生能學到他們正在建置的解決方案的「原因」，並對最終使用者有更深的理解。
 
 ## 硬體
 
-我們提供了兩種 IoT 硬體選擇，供專案使用，取決於個人偏好、程式語言知識或偏好、學習目標和可用性。我們還提供了「虛擬硬體」版本，供那些無法獲得硬體或希望在購買前學習更多內容的人使用。您可以在[硬體頁面](./hardware.md)上閱讀更多資訊並找到「購物清單」，其中包括來自 Seeed Studio 的完整套件購買連結。
+我們提供了兩種 IoT 硬體選擇，供專案使用，取決於個人偏好、程式語言知識或偏好、學習目標和可用性。我們也提供了「虛擬硬體」版本，供那些無法取得硬體或想在購買前學習更多的人使用。您可以在 [硬體頁面](./hardware.md) 上找到更多資訊和「購物清單」，包括我們的合作夥伴 Seeed Studio 提供的完整套件購買連結。
 
-> 💁 查看我們的[行為準則](CODE_OF_CONDUCT.md)、[貢獻指南](CONTRIBUTING.md)和[翻譯指南](TRANSLATIONS.md)。我們歡迎您的建設性反饋！
+> 💁 查看我們的 [行為準則](CODE_OF_CONDUCT.md)、[貢獻指南](CONTRIBUTING.md) 和 [翻譯指南](TRANSLATIONS.md)。我們歡迎您的建設性回饋！
 
-## 每節課包括：
+## 每堂課包含：
 
 - 手繪筆記
 - 可選的補充影片
 - 課前暖身測驗
 - 書面課程
-- 專案導向課程的逐步指南，教您如何構建專案
+- 專案導向課程的逐步建置指南
 - 知識檢查
 - 挑戰
 - 補充閱讀
 - 作業
 - [課後測驗](https://ff-quizzes.netlify.app/en/)
-
-> **關於測驗的說明**：所有測驗都包含在 quiz-app 資料夾中，共有 48 個測驗，每個測驗包含三個問題。它們在課程中有連結，但測驗應用程式可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示操作。測驗正在逐步進行本地化。
+> **關於測驗的注意事項**：所有測驗都包含在 quiz-app 資料夾中，共有 48 個測驗，每個測驗包含三個問題。這些測驗在課程中有連結，但測驗應用程式可以在本地執行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示進行操作。這些測驗正在逐步進行本地化。
 
 ## 課程
 
 |       |              專案名稱              |                       教授概念                       | 學習目標                                                                                                                                                 |                                                        課程連結                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [開始使用](./1-getting-started/README.md) |                     物聯網簡介                     | 學習物聯網的基本原則以及物聯網解決方案的基本構建模塊，例如感測器和雲端服務，同時設置您的第一個物聯網設備 |                      [物聯網簡介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [開始使用](./1-getting-started/README.md) |                   深入了解物聯網                    | 更深入了解物聯網系統的組成部分，以及微控制器和單板電腦                                                            |                        [深入了解物聯網](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [開始使用](./1-getting-started/README.md) | 使用感測器和執行器與物理世界互動 | 學習如何使用感測器從物理世界收集數據，以及使用執行器提供反饋，同時製作一個夜燈                                           | [使用感測器和執行器與物理世界互動](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [開始使用](./1-getting-started/README.md) |             將您的設備連接到互聯網             | 學習如何將物聯網設備連接到互聯網以發送和接收消息，通過將您的夜燈連接到 MQTT broker                               |               [將您的設備連接到互聯網](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [農業](./2-farm/README.md)            |                    預測植物生長                     | 學習如何使用物聯網設備捕獲的溫度數據來預測植物生長                                                                                  |                          [預測植物生長](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [農業](./2-farm/README.md)            |                    檢測土壤濕度                     | 學習如何檢測土壤濕度並校準土壤濕度感測器                                                                                              |                          [檢測土壤濕度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [農業](./2-farm/README.md)            |                  自動植物澆水                   | 學習如何使用繼電器和 MQTT 自動化和定時澆水                                                                                                      |                      [自動植物澆水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [農業](./2-farm/README.md)            |               將您的植物遷移到雲端               | 學習雲端和雲端托管的物聯網服務，以及如何將您的植物連接到其中之一，而不是公共 MQTT broker                                   |               [將您的植物遷移到雲端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [農業](./2-farm/README.md)            |         將您的應用邏輯遷移到雲端         | 學習如何在雲端編寫應用邏輯以響應物聯網消息                                                                          |         [將您的應用邏輯遷移到雲端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [農業](./2-farm/README.md)            |                   保護您的植物安全                    | 學習物聯網安全性以及如何使用密鑰和證書保護您的植物                                                                          |                        [保護您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [交通運輸](./3-transport/README.md)       |                      位置追蹤                      | 學習物聯網設備的 GPS 位置追蹤                                                                                                                   |                           [位置追蹤](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [交通運輸](./3-transport/README.md)       |                     存儲位置數據                     | 學習如何存儲物聯網數據以便稍後進行可視化或分析                                                                                                      |                         [存儲位置數據](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [交通運輸](./3-transport/README.md)       |                   可視化位置數據                   | 學習如何在地圖上可視化位置數據，以及地圖如何以二維形式表示真實的三維世界                                                            |                     [可視化位置數據](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [交通運輸](./3-transport/README.md)       |                          地理圍欄                          | 學習地理圍欄，以及它們如何用於在供應鏈中的車輛接近目的地時發出警報                                           |                                   [地理圍欄](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [製造業](./4-manufacturing/README.md)   |               訓練水果品質檢測器                | 學習如何在雲端訓練圖像分類器以檢測水果品質                                                                                       |                 [訓練水果品質檢測器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [製造業](./4-manufacturing/README.md)   |           從物聯網設備檢查水果品質            | 學習如何從物聯網設備使用您的水果品質檢測器                                                                                                    |           [從物聯網設備檢查水果品質](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [製造業](./4-manufacturing/README.md)   |             在邊緣運行您的水果檢測器             | 學習如何在邊緣的物聯網設備上運行您的水果檢測器                                                                                                |             [在邊緣運行您的水果檢測器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  01   | [開始入門](./1-getting-started/README.md) |                     IoT 簡介                     | 學習 IoT 的基本原理以及 IoT 解決方案的基本構建模組，例如感測器和雲端服務，同時設置您的第一個 IoT 裝置 |                      [IoT 簡介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [開始入門](./1-getting-started/README.md) |                   深入了解 IoT                    | 更深入了解 IoT 系統的組成部分，以及微控制器和單板電腦                                                            |                        [深入了解 IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  03   | [開始入門](./1-getting-started/README.md) | 使用感測器和致動器與物理世界互動 | 學習如何使用感測器從物理世界收集數據，以及使用致動器提供回饋，同時製作一個夜燈                                           | [使用感測器和致動器與物理世界互動](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  04   | [開始入門](./1-getting-started/README.md) |             將您的裝置連接到網際網路             | 學習如何將 IoT 裝置連接到網際網路以發送和接收訊息，並將您的夜燈連接到 MQTT broker                               |               [將您的裝置連接到網際網路](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [農場](./2-farm/README.md)            |                    預測植物生長                     | 學習如何使用 IoT 裝置捕捉的溫度數據來預測植物生長                                                                                  |                          [預測植物生長](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [農場](./2-farm/README.md)            |                    檢測土壤濕度                     | 學習如何檢測土壤濕度並校準土壤濕度感測器                                                                                              |                          [檢測土壤濕度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [農場](./2-farm/README.md)            |                  自動植物澆水                   | 學習如何使用繼電器和 MQTT 自動化並定時澆水                                                                                                      |                      [自動植物澆水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [農場](./2-farm/README.md)            |               將您的植物遷移到雲端               | 學習雲端和雲端托管的 IoT 服務，以及如何將您的植物連接到這些服務，而不是公共 MQTT broker                                   |               [將您的植物遷移到雲端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [農場](./2-farm/README.md)            |         將您的應用程式邏輯遷移到雲端         | 學習如何在雲端撰寫應用程式邏輯以回應 IoT 訊息                                                                          |         [將您的應用程式邏輯遷移到雲端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [農場](./2-farm/README.md)            |                   保護您的植物安全                    | 學習 IoT 的安全性以及如何使用密鑰和憑證保護您的植物                                                                          |                        [保護您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [交通運輸](./3-transport/README.md)       |                      位置追蹤                      | 學習 IoT 裝置的 GPS 位置追蹤                                                                                                                   |                           [位置追蹤](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [交通運輸](./3-transport/README.md)       |                     儲存位置數據                     | 學習如何儲存 IoT 數據以供日後視覺化或分析                                                                                                      |                         [儲存位置數據](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [交通運輸](./3-transport/README.md)       |                   視覺化位置數據                   | 學習如何在地圖上視覺化位置數據，以及地圖如何將真實的三維世界以二維方式呈現                                                            |                     [視覺化位置數據](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [交通運輸](./3-transport/README.md)       |                          地理圍欄                          | 學習地理圍欄，以及如何在供應鏈中的車輛接近目的地時發出警報                                           |                                   [地理圍欄](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [製造業](./4-manufacturing/README.md)   |               訓練水果品質檢測器                | 學習如何在雲端訓練影像分類器以檢測水果品質                                                                                       |                 [訓練水果品質檢測器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [製造業](./4-manufacturing/README.md)   |           從 IoT 裝置檢查水果品質            | 學習如何從 IoT 裝置使用水果品質檢測器                                                                                                    |           [從 IoT 裝置檢查水果品質](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [製造業](./4-manufacturing/README.md)   |             在邊緣運行您的水果檢測器             | 學習如何在邊緣的 IoT 裝置上運行您的水果檢測器                                                                                                |             [在邊緣運行您的水果檢測器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [製造業](./4-manufacturing/README.md)   |        從感測器觸發水果品質檢測        | 學習如何從感測器觸發水果品質檢測                                                                                                        |        [從感測器觸發水果品質檢測](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [零售](./5-retail/README.md)          |                   訓練庫存檢測器                    | 學習如何使用物件檢測訓練庫存檢測器以計算商店中的庫存                                                                                |                        [訓練庫存檢測器](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [零售](./5-retail/README.md)          |               從物聯網設備檢查庫存                | 學習如何使用物件檢測模型從物聯網設備檢查庫存                                                                                         |                     [從物聯網設備檢查庫存](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [消費者](./6-consumer/README.md)        |             使用物聯網設備進行語音識別             | 學習如何從物聯網設備進行語音識別以製作智能計時器                                                                                             |                  [使用物聯網設備進行語音識別](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [消費者](./6-consumer/README.md)        |                     理解語言                     | 學習如何理解對物聯網設備說出的句子                                                                                                           |                        [理解語言](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [消費者](./6-consumer/README.md)        |           設置計時器並提供語音反饋           | 學習如何在物聯網設備上設置計時器，並提供語音反饋，告知計時器設置時間以及完成時間                                                    |                 [設置計時器並提供語音反饋](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [消費者](./6-consumer/README.md)        |                 支援多語言                  | 學習如何支援多語言，包括對智能計時器的語音輸入和回應                                                               |                   [支援多語言](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  20   |          [零售](./5-retail/README.md)          |               從 IoT 裝置檢查庫存                | 學習如何使用物件檢測模型從 IoT 裝置檢查庫存                                                                                         |                     [從 IoT 裝置檢查庫存](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [消費者](./6-consumer/README.md)        |             使用 IoT 裝置進行語音辨識             | 學習如何從 IoT 裝置進行語音辨識以建立智慧計時器                                                                                             |                  [使用 IoT 裝置進行語音辨識](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [消費者](./6-consumer/README.md)        |                     理解語言                     | 學習如何理解對 IoT 裝置說出的句子                                                                                                           |                        [理解語言](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [消費者](./6-consumer/README.md)        |           設定計時器並提供語音回饋           | 學習如何在 IoT 裝置上設定計時器，並在計時器設定和完成時提供語音回饋                                                    |                 [設定計時器並提供語音回饋](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [消費者](./6-consumer/README.md)        |                 支援多語言                  | 學習如何支援多語言，包括對智慧計時器的語音輸入和回應                                                               |                   [支援多語言](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## 離線存取
 
-您可以使用 [Docsify](https://docsify.js.org/#/) 離線運行此文件。Fork 此 repo，並在您的本地機器上 [安裝 Docsify](https://docsify.js.org/#/quickstart)，然後在此 repo 的根目錄中輸入 `docsify serve`。網站將在您的本地端口 3000 上提供服務：`localhost:3000`。
+您可以使用 [Docsify](https://docsify.js.org/#/) 離線運行此文件。Fork 此 repo，並在您的本地機器上 [安裝 Docsify](https://docsify.js.org/#/quickstart)，然後在此 repo 的根目錄中輸入 `docsify serve`。網站將在您的本地端的 3000 埠上提供服務：`localhost:3000`。
 
 ## 測驗
 
-感謝社群提供互動測驗，測試您對每章內容的了解。您可以在 [這裡](https://ff-quizzes.netlify.app/en/) 測試您的知識。
+感謝社群提供互動式測驗，測試您對每章內容的理解。您可以在 [這裡](https://ff-quizzes.netlify.app/en/) 測試您的知識。
 
 ### PDF
 
-如果需要，您可以生成此內容的 PDF 以供離線存取。為此，請確保您已安裝 [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)，並在此 repo 的根目錄中運行以下命令：
+如果需要，您可以生成此內容的 PDF 以供離線存取。為此，請確保您已安裝 [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)，並在此 repo 的根目錄中運行以下指令：
 
 ```sh
 npm i
@@ -144,48 +150,52 @@ npm run convert
 
 ### 投影片
 
-部分課程的投影片位於 [slides](../../slides) 資料夾中。
+部分課程的投影片可在 [slides](../../slides) 資料夾中找到。
 
 ## 其他課程
 
 我們的團隊還製作了其他課程！查看以下內容：
 
 ### Azure / Edge / MCP / Agents
-[![AZD 初學者指南](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI 初學者指南](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP 初學者指南](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents 初學者指南](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### 生成式 AI 系列
-[![生成式 AI 初學者指南](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![生成式 AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![生成式 AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![生成式 AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
 
 ### 核心學習
-[![機器學習初學者課程](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![資料科學初學者課程](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![人工智慧初學者課程](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![網路安全初學者課程](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![網頁開發初學者課程](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![物聯網初學者課程](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR 開發初學者課程](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的機器學習](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的資料科學](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的人工智慧](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的網路安全](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![初學者的網頁開發](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的物聯網](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初學者的擴增實境開發](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### Copilot 系列  
-[![Copilot 用於 AI 配對編程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot 用於 C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+### Copilot 系列
+[![Copilot 的 AI 配對程式設計](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot 的 C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
 [![Copilot 冒險](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
+
+## 圖片來源
 
-## 圖片來源  
-您可以在 [Attributions](./attributions.md) 中找到本課程中使用的所有圖片的來源（如有需要）。  
+您可以在 [圖片來源](./attributions.md) 中找到本課程中使用的所有圖片的來源。
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **免責聲明**：  
-本文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們努力確保翻譯的準確性，但請注意，機器翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵信息，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
\ No newline at end of file
+本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原文文件為權威來源。對於關鍵資訊，建議尋求專業人工翻譯。我們對於因使用本翻譯而產生的任何誤解或誤釋不承擔責任。
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/uk/README.md b/translations/uk/README.md
index 6a2177c09..90352c1a2 100644
--- a/translations/uk/README.md
+++ b/translations/uk/README.md
@@ -1,63 +1,70 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:29:03+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T18:13:21+00:00",
   "source_file": "README.md",
   "language_code": "uk"
 }
 -->
-[![Ліцензія GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
-[![Учасники GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
-[![Проблеми GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
-[![Запити на GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Спостерігачі GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
-[![Форки GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
-[![Зірки GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
+[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### Приєднуйтесь до спільноти Azure AI Foundry  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
 
-Виконайте ці кроки, щоб почати використовувати ці ресурси:  
-1. **Форкніть репозиторій**: Натисніть [![Форки GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
-2. **Клонування репозиторію**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Приєднуйтесь до Azure AI Foundry Discord, щоб зустрітися з експертами та іншими розробниками**](https://discord.com/invite/ByRwuEEgH4)  
+Якщо ви застрягли або маєте запитання щодо створення AI-додатків, приєднуйтесь до обговорень з іншими учнями та досвідченими розробниками в MCP. Це підтримуюча спільнота, де запитання вітаються, а знання вільно діляться.  
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
+
+Якщо у вас є відгуки про продукт або виникли помилки під час створення, відвідайте:  
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
+
+Щоб почати користуватися цими ресурсами, виконайте наступні кроки:  
+1. **Форкніть репозиторій**: Натисніть [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Клонуйте репозиторій**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Приєднуйтесь до Microsoft Foundry Discord, щоб зустрітися з експертами та іншими розробниками**](https://discord.com/invite/ByRwuEEgH4)  
 
 ### 🌐 Підтримка багатьох мов  
 
-#### Підтримується через GitHub Action (Автоматизовано та завжди актуально)  
+#### Підтримується через GitHub Action (автоматично та завжди актуально)  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[Арабська](../ar/README.md) | [Бенгальська](../bn/README.md) | [Болгарська](../bg/README.md) | [Бірманська (М'янма)](../my/README.md) | [Китайська (спрощена)](../zh/README.md) | [Китайська (традиційна, Гонконг)](../hk/README.md) | [Китайська (традиційна, Макао)](../mo/README.md) | [Китайська (традиційна, Тайвань)](../tw/README.md) | [Хорватська](../hr/README.md) | [Чеська](../cs/README.md) | [Данська](../da/README.md) | [Нідерландська](../nl/README.md) | [Естонська](../et/README.md) | [Фінська](../fi/README.md) | [Французька](../fr/README.md) | [Німецька](../de/README.md) | [Грецька](../el/README.md) | [Іврит](../he/README.md) | [Гінді](../hi/README.md) | [Угорська](../hu/README.md) | [Індонезійська](../id/README.md) | [Італійська](../it/README.md) | [Японська](../ja/README.md) | [Корейська](../ko/README.md) | [Литовська](../lt/README.md) | [Малайська](../ms/README.md) | [Маратхі](../mr/README.md) | [Непальська](../ne/README.md) | [Норвезька](../no/README.md) | [Перська (фарсі)](../fa/README.md) | [Польська](../pl/README.md) | [Португальська (Бразилія)](../br/README.md) | [Португальська (Португалія)](../pt/README.md) | [Панджабі (Гурмухі)](../pa/README.md) | [Румунська](../ro/README.md) | [Російська](../ru/README.md) | [Сербська (кирилиця)](../sr/README.md) | [Словацька](../sk/README.md) | [Словенська](../sl/README.md) | [Іспанська](../es/README.md) | [Суахілі](../sw/README.md) | [Шведська](../sv/README.md) | [Тагальська (Філіппіни)](../tl/README.md) | [Тамільська](../ta/README.md) | [Тайська](../th/README.md) | [Турецька](../tr/README.md) | [Українська](./README.md) | [Урду](../ur/README.md) | [В'єтнамська](../vi/README.md)  
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](./README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)  
+<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
 
 # IoT для початківців - навчальна програма  
 
-Адвокати хмарних технологій Azure у Microsoft раді запропонувати 12-тижневу навчальну програму, що складається з 24 уроків, присвячених основам IoT. Кожен урок включає тести до та після уроку, письмові інструкції для виконання завдання, рішення, завдання та багато іншого. Наш підхід, заснований на проектах, дозволяє навчатися, створюючи, що є перевіреним способом закріплення нових навичок.  
+Azure Cloud Advocates у Microsoft раді запропонувати 12-тижневу навчальну програму з 24 уроків, присвячену основам IoT. Кожен урок включає тести до та після уроку, письмові інструкції для виконання завдання, рішення, завдання та багато іншого. Наш підхід, заснований на проектах, дозволяє навчатися, створюючи, що є перевіреним способом закріплення нових навичок.  
 
-Проекти охоплюють шлях їжі від ферми до столу. Це включає сільське господарство, логістику, виробництво, роздрібну торгівлю та споживачів - всі популярні галузі для IoT-пристроїв.  
+Проекти охоплюють шлях їжі від ферми до столу. Це включає фермерство, логістику, виробництво, роздрібну торгівлю та споживачів - усі популярні галузі для IoT-пристроїв.  
 
-![Дорожня карта курсу, що показує 24 уроки, які охоплюють вступ, сільське господарство, транспорт, обробку, роздрібну торгівлю та приготування їжі](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.uk.jpg)  
+![Дорожня карта курсу, що показує 24 уроки, які охоплюють вступ, фермерство, транспорт, обробку, роздрібну торгівлю та приготування їжі](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.uk.jpg)  
 
-> Скетчнот від [Нітії Нарасімхан](https://github.com/nitya). Натисніть на зображення для збільшення.  
+> Скетчнот від [Nitya Narasimhan](https://github.com/nitya). Натисніть на зображення для збільшення.  
 
-**Щиро дякуємо нашим авторам [Джен Фокс](https://github.com/jenfoxbot), [Джен Лупер](https://github.com/jlooper), [Джиму Беннету](https://github.com/jimbobbennett) та нашому художнику скетчнотів [Нітії Нарасімхан](https://github.com/nitya).**  
+**Щира подяка нашим авторам [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett) та нашому художнику скетчнотів [Nitya Narasimhan](https://github.com/nitya).**  
 
-**Також дякуємо нашій команді [Студентських амбасадорів Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), які переглядали та перекладали цю навчальну програму - [Адитья Гарг](https://github.com/AdityaGarg00), [Анураг Шарма](https://github.com/Anurag-0-1-A), [Арпіта Дас](https://github.com/Arpiiitaaa), [Ар'ян Джайн](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Бхавеш Сунеджа](https://github.com/EliteWarrior315), [Фейт Хунжа](https://faithhunja.github.io/), [Латіфа Белло](https://www.linkedin.com/in/lateefah-bello/), [Манві Джха](https://github.com/Severus-Matthew), [Мірей Тан](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Мохаммад Іфтекер (Іфту) Ебне Джалал](https://github.com/Iftu119), [Мохаммад Зульфікар](https://github.com/mohzulfikar), [Пріяншу Срівастав](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Танмай Говдучеру](https://github.com/innovation-platform) та [Зіна Камель](https://www.linkedin.com/in/zina-kamel/).**  
+**Також дякуємо нашій команді [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn), які переглядали та перекладали цю навчальну програму - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform) та [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
 Зустріньте команду!  
 
 [![Промо-відео](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-**Gif від** [Мохіта Джайсала](https://linkedin.com/in/mohitjaisal)  
+**Gif від** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
 > 🎥 Натисніть на зображення вище, щоб переглянути відео про проект!  
 
 > **Вчителі**, ми [додали кілька пропозицій](for-teachers.md) щодо використання цієї навчальної програми. Якщо ви хочете створити власні уроки, ми також включили [шаблон уроку](lesson-template/README.md).  
 
-> **[Студенти](https://aka.ms/student-page)**, щоб використовувати цю навчальну програму самостійно, форкніть весь репозиторій і виконайте вправи самостійно, починаючи з тесту перед лекцією, потім прочитайте лекцію і виконайте решту завдань. Спробуйте створити проекти, розуміючи уроки, а не копіюючи код рішення; однак цей код доступний у папках /solutions у кожному проектно-орієнтованому уроці. Інша ідея - створити навчальну групу з друзями і пройти контент разом. Для подальшого навчання ми рекомендуємо [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
+> **[Студенти](https://aka.ms/student-page)**, щоб використовувати цю навчальну програму самостійно, форкніть весь репозиторій і виконайте вправи самостійно, починаючи з тесту перед лекцією, потім прочитайте лекцію і виконайте решту завдань. Спробуйте створити проекти, розуміючи уроки, а не копіюючи код рішення; однак цей код доступний у папках /solutions у кожному проектно-орієнтованому уроці. Інша ідея - створити навчальну групу з друзями та разом пройти матеріал. Для подальшого навчання ми рекомендуємо [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
 Для відеоогляду цього курсу перегляньте це відео:  
 
@@ -67,19 +74,19 @@ CO_OP_TRANSLATOR_METADATA:
 
 ## Педагогіка  
 
-Ми обрали два педагогічні принципи при створенні цієї навчальної програми: забезпечення того, щоб вона була заснована на проектах, і включення частих тестів. До кінця цієї серії студенти створять систему моніторингу та поливу рослин, трекер транспортних засобів, розумну фабрику для відстеження та перевірки їжі, а також таймер для приготування їжі з голосовим управлінням, і вивчать основи Інтернету речей, включаючи написання коду для пристроїв, підключення до хмари, аналіз телеметрії та запуск AI на периферії.  
+Ми обрали два педагогічні принципи під час створення цієї навчальної програми: забезпечення її проектної орієнтації та включення частих тестів. До кінця цієї серії студенти створять систему моніторингу та поливу рослин, трекер транспортних засобів, розумну фабрику для відстеження та перевірки їжі, а також голосовий таймер для приготування їжі, і вивчать основи Інтернету речей, включаючи написання коду для пристроїв, підключення до хмари, аналіз телеметрії та запуск AI на периферії.  
 
 Забезпечуючи відповідність контенту проектам, процес стає більш захоплюючим для студентів, а засвоєння концепцій посилюється.  
 
-Крім того, тест з низьким рівнем ризику перед заняттям налаштовує студента на вивчення теми, а другий тест після заняття забезпечує подальше засвоєння. Ця навчальна програма була розроблена, щоб бути гнучкою та цікавою, і її можна пройти повністю або частково. Проекти починаються з простих і стають дедалі складнішими до кінця 12-тижневого циклу.  
+Крім того, тест з низькими ставками перед заняттям налаштовує студента на вивчення теми, а другий тест після заняття забезпечує подальше закріплення. Ця навчальна програма була розроблена, щоб бути гнучкою та цікавою і може бути використана повністю або частково. Проекти починаються з простих і стають дедалі складнішими до кінця 12-тижневого циклу.  
 
-Кожен проект базується на реальному обладнанні, доступному для студентів та любителів. Кожен проект досліджує конкретну область проекту, надаючи відповідні базові знання. Щоб бути успішним розробником, важливо розуміти область, у якій ви вирішуєте проблеми, надання цих базових знань дозволяє студентам думати про свої IoT-рішення та навчання в контексті реальної проблеми, яку вони можуть бути запрошені вирішити як IoT-розробники. Студенти вивчають "чому" рішень, які вони створюють, і отримують розуміння кінцевого користувача.  
+Кожен проект базується на реальному обладнанні, доступному для студентів та ентузіастів. Кожен проект досліджує конкретну доменну область проекту, надаючи відповідні базові знання. Щоб стати успішним розробником, важливо розуміти домен, у якому ви вирішуєте проблеми, надання цих базових знань дозволяє студентам думати про свої IoT-рішення та навчання в контексті реальних проблем, які вони можуть вирішувати як IoT-розробники. Студенти дізнаються "чому" рішень, які вони створюють, і отримують уявлення про кінцевого користувача.  
 
 ## Обладнання  
 
-У нас є два варіанти IoT-обладнання для використання в проектах залежно від особистих уподобань, знань програмування або уподобань, навчальних цілей та доступності. Ми також надали версію "віртуального обладнання" для тих, хто не має доступу до обладнання або хоче дізнатися більше перед покупкою. Ви можете дізнатися більше та знайти "список покупок" на [сторінці обладнання](./hardware.md), включаючи посилання для придбання повних комплектів від наших друзів у Seeed Studio.  
+Ми пропонуємо два варіанти IoT-обладнання для використання в проектах залежно від особистих уподобань, знань програмування або цілей навчання, а також доступності. Ми також надали версію "віртуального обладнання" для тих, хто не має доступу до обладнання або хоче дізнатися більше перед покупкою. Ви можете дізнатися більше та знайти "список покупок" на [сторінці обладнання](./hardware.md), включаючи посилання на придбання повних комплектів від наших друзів у Seeed Studio.  
 
-> 💁 Знайдіть наші [Правила поведінки](CODE_OF_CONDUCT.md), [Рекомендації щодо внеску](CONTRIBUTING.md) та [Рекомендації щодо перекладу](TRANSLATIONS.md). Ми вітаємо ваші конструктивні відгуки!  
+> 💁 Знайдіть наші [Правила поведінки](CODE_OF_CONDUCT.md), [Рекомендації щодо внесків](CONTRIBUTING.md) та [Рекомендації щодо перекладу](TRANSLATIONS.md). Ми вітаємо ваші конструктивні відгуки!  
 
 ## Кожен урок включає:  
 
@@ -88,54 +95,53 @@ CO_OP_TRANSLATOR_METADATA:
 - тест перед уроком  
 - письмовий урок  
 - для проектно-орієнтованих уроків, покрокові інструкції щодо створення проекту  
-- перевірка знань  
-- виклик  
-- додаткове читання  
+- перевірку знань  
+- завдання  
+- додаткові матеріали для читання  
 - завдання  
 - [тест після уроку](https://ff-quizzes.netlify.app/en/)  
+> **Примітка про вікторини**: Усі вікторини знаходяться в папці quiz-app, всього 48 вікторин по три запитання кожна. Вони пов'язані з уроками, але додаток для вікторин можна запускати локально або розгортати в Azure; дотримуйтесь інструкцій у папці `quiz-app`. Вони поступово локалізуються.
 
-> **Примітка про тести**: Усі тести містяться в папці quiz-app, всього 48 тестів по три питання кожен. Вони пов'язані з уроками, але додаток для тестів можна запустити локально або розгорнути в Azure; дотримуйтесь інструкцій у папці `quiz-app`. Вони поступово локалізуються.  
-
-## Уроки  
+## Уроки
 
-|       |              Назва проекту              |                       Вивчені концепції                       | Навчальні цілі                                                                                                                                                 |                                                        Пов'язаний урок                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
-|  01   | [Початок роботи](./1-getting-started/README.md) |                     Вступ до IoT                     | Дізнайтеся основні принципи IoT та базові складові IoT-рішень, такі як датчики та хмарні сервіси, поки ви налаштовуєте свій перший IoT-пристрій |                      [Вступ до IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|       |              Назва проекту              |                       Вивчені концепції                       | Навчальні цілі                                                                                                                                                 |                                                        Пов'язаний урок                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [Початок роботи](./1-getting-started/README.md) |                     Вступ до IoT                     | Дізнайтеся основні принципи IoT та основні складові IoT-рішень, такі як датчики та хмарні сервіси, поки ви налаштовуєте свій перший IoT-пристрій |                      [Вступ до IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
 |  02   | [Початок роботи](./1-getting-started/README.md) |                   Глибше занурення в IoT                    | Дізнайтеся більше про компоненти IoT-системи, а також про мікроконтролери та одноплатні комп'ютери                                                            |                        [Глибше занурення в IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
-|  03   | [Початок роботи](./1-getting-started/README.md) | Взаємодія з фізичним світом за допомогою датчиків та виконавчих механізмів | Дізнайтеся про датчики для збору даних з фізичного світу та виконавчі механізми для передачі зворотного зв'язку, поки ви створюєте нічник                                           | [Взаємодія з фізичним світом за допомогою датчиків та виконавчих механізмів](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+|  03   | [Початок роботи](./1-getting-started/README.md) | Взаємодія з фізичним світом за допомогою датчиків і виконавчих механізмів | Дізнайтеся про датчики для збору даних з фізичного світу та виконавчі механізми для передачі зворотного зв'язку, поки ви створюєте нічник                                           | [Взаємодія з фізичним світом за допомогою датчиків і виконавчих механізмів](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
 |  04   | [Початок роботи](./1-getting-started/README.md) |             Підключіть свій пристрій до Інтернету             | Дізнайтеся, як підключити IoT-пристрій до Інтернету для надсилання та отримання повідомлень, підключивши ваш нічник до брокера MQTT                               |               [Підключіть свій пристрій до Інтернету](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [Ферма](./2-farm/README.md)            |                    Прогнозування росту рослин                     | Дізнайтеся, як прогнозувати ріст рослин, використовуючи дані температури, зібрані IoT-пристроєм                                                                                  |                          [Прогнозування росту рослин](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [Ферма](./2-farm/README.md)            |                    Визначення вологості ґрунту                     | Дізнайтеся, як визначати вологість ґрунту та калібрувати датчик вологості ґрунту                                                                                              |                          [Визначення вологості ґрунту](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Ферма](./2-farm/README.md)            |                  Автоматичний полив рослин                   | Дізнайтеся, як автоматизувати та налаштувати час поливу за допомогою реле та MQTT                                                                                                      |                      [Автоматичний полив рослин](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Ферма](./2-farm/README.md)            |               Перенесення вашої рослини в хмару               | Дізнайтеся про хмару та хмарні IoT-сервіси, а також як підключити вашу рослину до одного з них замість публічного брокера MQTT                                   |               [Перенесення вашої рослини в хмару](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Ферма](./2-farm/README.md)            |         Перенесення логіки вашого додатка в хмару         | Дізнайтеся, як можна написати логіку додатка в хмарі, яка реагує на IoT-повідомлення                                                                          |         [Перенесення логіки вашого додатка в хмару](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Ферма](./2-farm/README.md)            |                   Захист вашої рослини                    | Дізнайтеся про безпеку в IoT та як захистити вашу рослину за допомогою ключів та сертифікатів                                                                          |                        [Захист вашої рослини](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  05   |            [Ферма](./2-farm/README.md)            |                    Прогнозування росту рослин                     | Дізнайтеся, як прогнозувати ріст рослин, використовуючи дані температури, отримані IoT-пристроєм                                                                                  |                          [Прогнозування росту рослин](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [Ферма](./2-farm/README.md)            |                    Виявлення вологості ґрунту                     | Дізнайтеся, як виявляти вологість ґрунту та калібрувати датчик вологості ґрунту                                                                                              |                          [Виявлення вологості ґрунту](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [Ферма](./2-farm/README.md)            |                  Автоматизований полив рослин                   | Дізнайтеся, як автоматизувати та налаштувати час поливу за допомогою реле та MQTT                                                                                                      |                      [Автоматизований полив рослин](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Ферма](./2-farm/README.md)            |               Перенесіть свою рослину в хмару               | Дізнайтеся про хмару та хмарні IoT-сервіси, а також як підключити вашу рослину до одного з них замість публічного брокера MQTT                                   |               [Перенесіть свою рослину в хмару](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Ферма](./2-farm/README.md)            |         Перенесіть логіку вашого додатку в хмару         | Дізнайтеся, як можна написати логіку додатку в хмарі, яка реагує на IoT-повідомлення                                                                          |         [Перенесіть логіку вашого додатку в хмару](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Ферма](./2-farm/README.md)            |                   Захистіть свою рослину                    | Дізнайтеся про безпеку в IoT та як захистити вашу рослину за допомогою ключів і сертифікатів                                                                          |                        [Захистіть свою рослину](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Транспорт](./3-transport/README.md)       |                      Відстеження місцезнаходження                      | Дізнайтеся про GPS-відстеження місцезнаходження для IoT-пристроїв                                                                                                                   |                           [Відстеження місцезнаходження](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Транспорт](./3-transport/README.md)       |                     Зберігання даних про місцезнаходження                     | Дізнайтеся, як зберігати IoT-дані для їх візуалізації або аналізу в майбутньому                                                                                                      |                         [Зберігання даних про місцезнаходження](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  12   |       [Транспорт](./3-transport/README.md)       |                     Зберігання даних про місцезнаходження                     | Дізнайтеся, як зберігати дані IoT для їх візуалізації або аналізу в майбутньому                                                                                                      |                         [Зберігання даних про місцезнаходження](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [Транспорт](./3-transport/README.md)       |                   Візуалізація даних про місцезнаходження                   | Дізнайтеся про візуалізацію даних про місцезнаходження на карті та як карти представляють реальний 3D-світ у двох вимірах                                                            |                     [Візуалізація даних про місцезнаходження](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Транспорт](./3-transport/README.md)       |                          Геозони                          | Дізнайтеся про геозони та як їх можна використовувати для сповіщення, коли транспортні засоби в ланцюгу постачання наближаються до місця призначення                                           |                                   [Геозони](./3-transport/lessons/4-geofences/README.md)                                   |
+|  14   |       [Транспорт](./3-transport/README.md)       |                          Геозони                          | Дізнайтеся про геозони та як їх можна використовувати для сповіщення, коли транспортні засоби в ланцюзі постачання наближаються до місця призначення                                           |                                   [Геозони](./3-transport/lessons/4-geofences/README.md)                                   |
 |  15   |   [Виробництво](./4-manufacturing/README.md)   |               Навчання детектора якості фруктів                | Дізнайтеся про навчання класифікатора зображень у хмарі для визначення якості фруктів                                                                                       |                 [Навчання детектора якості фруктів](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Виробництво](./4-manufacturing/README.md)   |           Перевірка якості фруктів за допомогою IoT-пристрою            | Дізнайтеся, як використовувати ваш детектор якості фруктів за допомогою IoT-пристрою                                                                                                    |           [Перевірка якості фруктів за допомогою IoT-пристрою](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  16   |   [Виробництво](./4-manufacturing/README.md)   |           Перевірка якості фруктів за допомогою IoT-пристрою            | Дізнайтеся, як використовувати детектор якості фруктів за допомогою IoT-пристрою                                                                                                    |           [Перевірка якості фруктів за допомогою IoT-пристрою](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [Виробництво](./4-manufacturing/README.md)   |             Запуск детектора фруктів на периферії             | Дізнайтеся, як запускати детектор фруктів на IoT-пристрої на периферії                                                                                                |             [Запуск детектора фруктів на периферії](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [Виробництво](./4-manufacturing/README.md)   |        Запуск перевірки якості фруктів за допомогою датчика        | Дізнайтеся, як запускати перевірку якості фруктів за допомогою датчика                                                                                                        |        [Запуск перевірки якості фруктів за допомогою датчика](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [Роздрібна торгівля](./5-retail/README.md)          |                   Навчання детектора запасів                    | Дізнайтеся, як використовувати розпізнавання об'єктів для навчання детектора запасів для підрахунку товарів у магазині                                                                                |                        [Навчання детектора запасів](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [Роздрібна торгівля](./5-retail/README.md)          |               Перевірка запасів за допомогою IoT-пристрою                | Дізнайтеся, як перевіряти запаси за допомогою IoT-пристрою, використовуючи модель розпізнавання об'єктів                                                                                         |                     [Перевірка запасів за допомогою IoT-пристрою](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  18   |   [Виробництво](./4-manufacturing/README.md)   |        Запуск визначення якості фруктів за допомогою датчика        | Дізнайтеся, як запускати визначення якості фруктів за допомогою датчика                                                                                                        |        [Запуск визначення якості фруктів за допомогою датчика](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [Роздрібна торгівля](./5-retail/README.md)          |                   Навчання детектора запасів                    | Дізнайтеся, як використовувати виявлення об'єктів для навчання детектора запасів для підрахунку товарів у магазині                                                                                |                        [Навчання детектора запасів](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [Роздрібна торгівля](./5-retail/README.md)          |               Перевірка запасів за допомогою IoT-пристрою                | Дізнайтеся, як перевіряти запаси за допомогою IoT-пристрою, використовуючи модель виявлення об'єктів                                                                                         |                     [Перевірка запасів за допомогою IoT-пристрою](./5-retail/lessons/2-check-stock-device/README.md)                      |
 |  21   |        [Споживач](./6-consumer/README.md)        |             Розпізнавання мови за допомогою IoT-пристрою             | Дізнайтеся, як розпізнавати мову за допомогою IoT-пристрою для створення розумного таймера                                                                                             |                  [Розпізнавання мови за допомогою IoT-пристрою](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [Споживач](./6-consumer/README.md)        |                     Розуміння мови                     | Дізнайтеся, як розуміти речення, сказані IoT-пристрою                                                                                                           |                        [Розуміння мови](./6-consumer/lessons/2-language-understanding/README.md)                        |
 |  23   |        [Споживач](./6-consumer/README.md)        |           Встановлення таймера та надання голосового зворотного зв'язку           | Дізнайтеся, як встановити таймер на IoT-пристрої та надати голосовий зворотний зв'язок про час встановлення таймера та його завершення                                                    |                 [Встановлення таймера та надання голосового зворотного зв'язку](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
 |  24   |        [Споживач](./6-consumer/README.md)        |                 Підтримка кількох мов                  | Дізнайтеся, як підтримувати кілька мов, як для введення, так і для відповідей вашого розумного таймера                                                               |                   [Підтримка кількох мов](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
-## Офлайн-доступ
+## Доступ офлайн
 
-Ви можете використовувати цю документацію офлайн за допомогою [Docsify](https://docsify.js.org/#/). Форкніть цей репозиторій, [встановіть Docsify](https://docsify.js.org/#/quickstart) на вашому локальному комп'ютері, а потім у кореневій папці цього репозиторію введіть `docsify serve`. Вебсайт буде доступний на порту 3000 вашого localhost: `localhost:3000`.
+Ви можете використовувати цю документацію офлайн за допомогою [Docsify](https://docsify.js.org/#/). Форкніть цей репозиторій, [встановіть Docsify](https://docsify.js.org/#/quickstart) на ваш локальний комп'ютер, а потім у кореневій папці цього репозиторію введіть `docsify serve`. Вебсайт буде доступний на порту 3000 вашого localhost: `localhost:3000`.
 
 ## Вікторина
 
-Дякуємо спільноті за організацію інтерактивної вікторини, яка перевіряє ваші знання з кожного розділу. Ви можете перевірити свої знання [тут](https://ff-quizzes.netlify.app/en/) 
+Дякуємо спільноті за хостинг інтерактивної вікторини, яка перевіряє ваші знання з кожного розділу. Ви можете перевірити свої знання [тут](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Ви можете створити PDF-версію цього контенту для офлайн-доступу, якщо це необхідно. Для цього переконайтеся, що у вас встановлений [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm), і виконайте наступні команди в кореневій папці цього репозиторію:
+Ви можете створити PDF цього контенту для офлайн-доступу, якщо це необхідно. Для цього переконайтеся, що у вас встановлено [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm), і виконайте наступні команди в кореневій папці цього репозиторію:
 
 ```sh
 npm i
@@ -151,7 +157,6 @@ npm run convert
 
 Наша команда створює інші навчальні програми! Ознайомтеся:
 
-<!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### Azure / Edge / MCP / Agents
 [![AZD для початківців](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI для початківців](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
@@ -159,36 +164,39 @@ npm run convert
 [![AI Agents для початківців](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Серія Generative AI
 [![Generative AI для початківців](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![Генеративний AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Основне навчання
-[![ML для початківців](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Наука про дані для початківців](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Штучний інтелект для початківців](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Кібербезпека для початківців](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Веб-розробка для початківців](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT для початківців](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Розробка XR для початківців](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![Машинне навчання для початківців](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Наука про дані для початківців](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![Штучний інтелект для початківців](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![Кібербезпека для початківців](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Веб-розробка для початківців](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![Інтернет речей для початківців](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Розробка XR для початківців](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Серія Copilot  
-[![Copilot для парного програмування з AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot для C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Пригоди з Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Серія Copilot
+[![Copilot для парного програмування з AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot для C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Пригоди з Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Авторство зображень  
+## Атрибуції зображень
 
-Ви можете знайти всі авторські права на зображення, використані в цьому навчальному курсі, у розділі [Авторство](./attributions.md).  
+Ви можете знайти всі атрибуції для зображень, використаних у цьому курсі, за необхідності у [Атрибуціях](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Відмова від відповідальності**:  
-Цей документ був перекладений за допомогою сервісу автоматичного перекладу [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, будь ласка, майте на увазі, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ на його рідній мові слід вважати авторитетним джерелом. Для критичної інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння або неправильні тлумачення, що виникають внаслідок використання цього перекладу.
\ No newline at end of file
+Цей документ було перекладено за допомогою сервісу автоматичного перекладу [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, звертаємо вашу увагу, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ на його рідній мові слід вважати авторитетним джерелом. Для критично важливої інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння або неправильні тлумачення, що виникли внаслідок використання цього перекладу.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/ur/README.md b/translations/ur/README.md
index d27c4ab95..878b54a75 100644
--- a/translations/ur/README.md
+++ b/translations/ur/README.md
@@ -1,141 +1,145 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:56:59+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:14:55+00:00",
   "source_file": "README.md",
   "language_code": "ur"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
+[![GitHub لائسنس](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub شراکت دار](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub مسائل](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub پل ریکویسٹ](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![PRs خوش آمدید](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
+[![GitHub دیکھنے والے](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub فورکس](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub ستارز](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### Azure AI Foundry کمیونٹی میں شامل ہوں  
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)  
 
-ان وسائل کو استعمال کرنے کے لیے درج ذیل مراحل پر عمل کریں:  
-1. **ریپوزیٹری کو فورک کریں**: کلک کریں [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
-2. **ریپوزیٹری کو کلون کریں**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
-3. [**Azure AI Foundry Discord میں شامل ہوں اور ماہرین اور دیگر ڈویلپرز سے ملاقات کریں**](https://discord.com/invite/ByRwuEEgH4)  
+اگر آپ کسی مسئلے میں پھنس جائیں یا AI ایپلیکیشنز بنانے کے بارے میں سوالات ہوں، تو ساتھی سیکھنے والوں اور تجربہ کار ڈویلپرز کے ساتھ MCP پر بات چیت میں شامل ہوں۔ یہ ایک معاون کمیونٹی ہے جہاں سوالات کا خیرمقدم کیا جاتا ہے اور علم آزادانہ طور پر شیئر کیا جاتا ہے۔  
 
-### 🌐 کثیر زبان کی حمایت  
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### GitHub Action کے ذریعے سپورٹ (خودکار اور ہمیشہ اپ ڈیٹ)  
+اگر آپ کو پروڈکٹ کے بارے میں رائے دینی ہو یا بلڈنگ کے دوران کوئی مسئلہ ہو تو یہاں جائیں:  
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->  
-[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاریائی](../bg/README.md) | [برمی (میانمار)](../my/README.md) | [چینی (سادہ)](../zh/README.md) | [چینی (روایتی، ہانگ کانگ)](../hk/README.md) | [چینی (روایتی، مکاؤ)](../mo/README.md) | [چینی (روایتی، تائیوان)](../tw/README.md) | [کروشین](../hr/README.md) | [چیک](../cs/README.md) | [ڈینش](../da/README.md) | [ڈچ](../nl/README.md) | [ایسٹونین](../et/README.md) | [فنش](../fi/README.md) | [فرانسیسی](../fr/README.md) | [جرمن](../de/README.md) | [یونانی](../el/README.md) | [عبرانی](../he/README.md) | [ہندی](../hi/README.md) | [ہنگریائی](../hu/README.md) | [انڈونیشیائی](../id/README.md) | [اطالوی](../it/README.md) | [جاپانی](../ja/README.md) | [کوریائی](../ko/README.md) | [لتھوانیائی](../lt/README.md) | [ملائی](../ms/README.md) | [مراٹھی](../mr/README.md) | [نیپالی](../ne/README.md) | [نارویجین](../no/README.md) | [فارسی (ایرانی)](../fa/README.md) | [پولش](../pl/README.md) | [پرتگالی (برازیل)](../br/README.md) | [پرتگالی (پرتگال)](../pt/README.md) | [پنجابی (گرمکھی)](../pa/README.md) | [رومانیائی](../ro/README.md) | [روسی](../ru/README.md) | [سربیائی (سیریلک)](../sr/README.md) | [سلوواک](../sk/README.md) | [سلووینیائی](../sl/README.md) | [ہسپانوی](../es/README.md) | [سواحلی](../sw/README.md) | [سویڈش](../sv/README.md) | [ٹیگالوگ (فلپائنی)](../tl/README.md) | [تمل](../ta/README.md) | [تھائی](../th/README.md) | [ترکی](../tr/README.md) | [یوکرینی](../uk/README.md) | [اردو](./README.md) | [ویتنامی](../vi/README.md)  
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->  
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT for Beginners - ایک نصاب  
+ان وسائل کو استعمال کرنے کے لیے درج ذیل اقدامات کریں:  
+1. **ریپوزٹری کو فورک کریں**: کلک کریں [![GitHub فورکس](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **ریپوزٹری کو کلون کریں**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Microsoft Foundry Discord میں شامل ہوں اور ماہرین اور ساتھی ڈویلپرز سے ملیں**](https://discord.com/invite/ByRwuEEgH4)  
 
-Microsoft کے Azure Cloud Advocates خوشی کے ساتھ 12 ہفتوں پر مشتمل، 24 اسباق کا نصاب پیش کرتے ہیں جو IoT کی بنیادی باتوں کے بارے میں ہے۔ ہر سبق میں سبق سے پہلے اور بعد کے کوئز، سبق مکمل کرنے کے لیے تحریری ہدایات، ایک حل، ایک اسائنمنٹ اور مزید شامل ہیں۔ ہمارا پروجیکٹ پر مبنی طریقہ کار آپ کو سیکھنے کے دوران بنانے کی اجازت دیتا ہے، جو نئے مہارتوں کو یاد رکھنے کا ایک ثابت شدہ طریقہ ہے۔  
+### 🌐 کثیر لسانی سپورٹ  
 
-یہ پروجیکٹس کھانے کی پیداوار سے لے کر میز تک کے سفر کا احاطہ کرتے ہیں۔ اس میں زراعت، لاجسٹکس، مینوفیکچرنگ، ریٹیل اور صارف شامل ہیں - جو IoT ڈیوائسز کے لیے مشہور صنعت کے شعبے ہیں۔  
+#### GitHub ایکشن کے ذریعے سپورٹ (خودکار اور ہمیشہ اپ ڈیٹ)  
 
-![کورس کا روڈ میپ جو 24 اسباق کو دکھاتا ہے، جس میں تعارف، زراعت، نقل و حمل، پروسیسنگ، ریٹیل اور کھانا پکانے شامل ہیں](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ur.jpg)  
+[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاریائی](../bg/README.md) | [برمی (میانمار)](../my/README.md) | [چینی (سادہ)](../zh/README.md) | [چینی (روایتی، ہانگ کانگ)](../hk/README.md) | [چینی (روایتی، مکاؤ)](../mo/README.md) | [چینی (روایتی، تائیوان)](../tw/README.md) | [کروشین](../hr/README.md) | [چیک](../cs/README.md) | [ڈینش](../da/README.md) | [ڈچ](../nl/README.md) | [ایسٹونین](../et/README.md) | [فنش](../fi/README.md) | [فرانسیسی](../fr/README.md) | [جرمن](../de/README.md) | [یونانی](../el/README.md) | [عبرانی](../he/README.md) | [ہندی](../hi/README.md) | [ہنگریائی](../hu/README.md) | [انڈونیشیائی](../id/README.md) | [اطالوی](../it/README.md) | [جاپانی](../ja/README.md) | [کوریائی](../ko/README.md) | [لیتھوینین](../lt/README.md) | [ملائی](../ms/README.md) | [مراٹھی](../mr/README.md) | [نیپالی](../ne/README.md) | [نائجیرین پیجن](../pcm/README.md) | [نارویجن](../no/README.md) | [فارسی (ایرانی)](../fa/README.md) | [پولش](../pl/README.md) | [پرتگالی (برازیل)](../br/README.md) | [پرتگالی (پرتگال)](../pt/README.md) | [پنجابی (گرمکھی)](../pa/README.md) | [رومانیائی](../ro/README.md) | [روسی](../ru/README.md) | [سربیائی (سیریلیک)](../sr/README.md) | [سلوواک](../sk/README.md) | [سلووینیائی](../sl/README.md) | [ہسپانوی](../es/README.md) | [سواحلی](../sw/README.md) | [سویڈش](../sv/README.md) | [ٹیگالوگ (فلپائنی)](../tl/README.md) | [تمل](../ta/README.md) | [تھائی](../th/README.md) | [ترکی](../tr/README.md) | [یوکرینی](../uk/README.md) | [اردو](./README.md) | [ویتنامی](../vi/README.md)  
+
+# ابتدائیوں کے لیے IoT - ایک نصاب  
+
+Microsoft کے Azure Cloud Advocates خوشی کے ساتھ ایک 12 ہفتوں کا، 24 اسباق پر مشتمل نصاب پیش کرتے ہیں جو IoT کی بنیادی باتوں کے بارے میں ہے۔ ہر سبق میں سبق سے پہلے اور بعد کے کوئز، سبق مکمل کرنے کے لیے تحریری ہدایات، ایک حل، ایک اسائنمنٹ اور مزید شامل ہیں۔ ہمارا پروجیکٹ پر مبنی طریقہ کار آپ کو سیکھنے کے دوران بنانے کی اجازت دیتا ہے، جو نئے ہنر سیکھنے کا ایک ثابت شدہ طریقہ ہے۔  
+
+یہ پروجیکٹس کھانے کی پیداوار سے لے کر میز تک کے سفر کا احاطہ کرتے ہیں۔ اس میں زراعت، لاجسٹکس، مینوفیکچرنگ، ریٹیل اور صارف شامل ہیں - یہ سب IoT ڈیوائسز کے لیے مشہور صنعتی شعبے ہیں۔  
+
+![کورس کا روڈ میپ جس میں 24 اسباق شامل ہیں، تعارف، زراعت، نقل و حمل، پروسیسنگ، ریٹیل اور کھانا پکانے کا احاطہ کرتا ہے](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.ur.jpg)  
 
 > اسکیچ نوٹ [نیتیا نرسمہن](https://github.com/nitya) کی طرف سے۔ بڑی تصویر کے لیے تصویر پر کلک کریں۔  
 
 **ہمارے مصنفین [جین فاکس](https://github.com/jenfoxbot)، [جین لوپر](https://github.com/jlooper)، [جم بینیٹ](https://github.com/jimbobbennett)، اور ہمارے اسکیچ نوٹ آرٹسٹ [نیتیا نرسمہن](https://github.com/nitya) کا دل سے شکریہ۔**  
 
-**ہمارے [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) کی ٹیم کا بھی شکریہ جنہوں نے اس نصاب کا جائزہ لیا اور ترجمہ کیا - [ادیتیہ گرگ](https://github.com/AdityaGarg00)، [انوراگ شرما](https://github.com/Anurag-0-1-A)، [ارپیتا داس](https://github.com/Arpiiitaaa)، [آریان جین](https://www.linkedin.com/in/aryan-jain-47a4a1145/)، [بھویش سنیجا](https://github.com/EliteWarrior315)، [فیتھ ہنجا](https://faithhunja.github.io/)، [لطیفہ بیلو](https://www.linkedin.com/in/lateefah-bello/)، [مانوی جھا](https://github.com/Severus-Matthew)، [میرائل تان](https://www.linkedin.com/in/mireille-tan-a4834819a/)، [محمد افتخار (افتو) ابن جلال](https://github.com/Iftu119)، [محمد ذوالفقار](https://github.com/mohzulfikar)، [پریانشو سریواستاو](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)، [تھنمائی گوڈوچروو](https://github.com/innovation-platform)، اور [زینا کامل](https://www.linkedin.com/in/zina-kamel/).**  
+**اسی طرح ہمارے [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) کی ٹیم کا بھی شکریہ جنہوں نے اس نصاب کا جائزہ لیا اور ترجمہ کیا - [آدتیہ گرگ](https://github.com/AdityaGarg00)، [انوراگ شرما](https://github.com/Anurag-0-1-A)، [ارپیتا داس](https://github.com/Arpiiitaaa)، [آریان جین](https://www.linkedin.com/in/aryan-jain-47a4a1145/)، [بھویش سنیجا](https://github.com/EliteWarrior315)، [فیتھ ہنجا](https://faithhunja.github.io/)، [لطیفہ بیلو](https://www.linkedin.com/in/lateefah-bello/)، [مانوی جھا](https://github.com/Severus-Matthew)، [میرائل تان](https://www.linkedin.com/in/mireille-tan-a4834819a/)، [محمد افتخار (افتو) ابن جلال](https://github.com/Iftu119)، [محمد ذوالفقار](https://github.com/mohzulfikar)، [پریانشو سریواستو](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)، [تھنمائی گوڈوچروو](https://github.com/innovation-platform)، اور [زینا کامل](https://www.linkedin.com/in/zina-kamel/).**  
 
-ٹیم سے ملاقات کریں!  
+ٹیم سے ملیں!  
 
 [![پرومو ویڈیو](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-**Gif by** [موہت جیسل](https://linkedin.com/in/mohitjaisal)  
+**Gif از** [موہت جیسال](https://linkedin.com/in/mohitjaisal)  
 
 > 🎥 اوپر دی گئی تصویر پر کلک کریں تاکہ پروجیکٹ کے بارے میں ویڈیو دیکھ سکیں!  
 
-> **اساتذہ**، ہم نے [کچھ تجاویز شامل کی ہیں](for-teachers.md) کہ اس نصاب کو کیسے استعمال کریں۔ اگر آپ اپنے اسباق بنانا چاہتے ہیں، تو ہم نے ایک [سبق کا سانچہ](lesson-template/README.md) بھی شامل کیا ہے۔  
+> **اساتذہ**، ہم نے اس نصاب کو استعمال کرنے کے بارے میں [کچھ تجاویز شامل کی ہیں](for-teachers.md)۔ اگر آپ اپنے اسباق بنانا چاہتے ہیں، تو ہم نے ایک [سبق کا سانچہ](lesson-template/README.md) بھی شامل کیا ہے۔  
 
-> **[طلباء](https://aka.ms/student-page)**، اس نصاب کو خود استعمال کرنے کے لیے، پورے ریپوزیٹری کو فورک کریں اور اسباق کو خود مکمل کریں، سبق سے پہلے کوئز سے شروع کریں، پھر سبق پڑھیں اور باقی سرگرمیاں مکمل کریں۔ کوشش کریں کہ اسباق کو سمجھ کر پروجیکٹس بنائیں بجائے کہ حل کوڈ کو کاپی کریں؛ تاہم وہ کوڈ ہر پروجیکٹ پر مبنی سبق کے /solutions فولڈرز میں دستیاب ہے۔ ایک اور خیال یہ ہو سکتا ہے کہ دوستوں کے ساتھ ایک اسٹڈی گروپ بنائیں اور مواد کو ایک ساتھ دیکھیں۔ مزید مطالعہ کے لیے، ہم [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) کی سفارش کرتے ہیں۔  
+> **[طلباء](https://aka.ms/student-page)**، اگر آپ اس نصاب کو خود استعمال کرنا چاہتے ہیں، تو پورے ریپوزٹری کو فورک کریں اور اسباق کو خود مکمل کریں، سبق سے پہلے کے کوئز سے شروع کریں، پھر سبق پڑھیں اور باقی سرگرمیاں مکمل کریں۔ کوشش کریں کہ اسباق کو سمجھ کر پروجیکٹس بنائیں بجائے اس کے کہ حل کوڈ کو کاپی کریں؛ تاہم وہ کوڈ ہر پروجیکٹ پر مبنی سبق کے /solutions فولڈرز میں دستیاب ہے۔ ایک اور خیال یہ ہو سکتا ہے کہ دوستوں کے ساتھ ایک مطالعہ گروپ بنائیں اور مواد کو ایک ساتھ دیکھیں۔ مزید مطالعہ کے لیے، ہم [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn) کی سفارش کرتے ہیں۔  
 
 اس کورس کا ویڈیو جائزہ دیکھنے کے لیے، یہ ویڈیو دیکھیں:  
 
-[![پرومو ویڈیو](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")  
+[![پرومو ویڈیو](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "پرومو ویڈیو")  
 
 > 🎥 اوپر دی گئی تصویر پر کلک کریں تاکہ پروجیکٹ کے بارے میں ویڈیو دیکھ سکیں!  
 
 ## تدریسی طریقہ کار  
 
-ہم نے اس نصاب کو بناتے وقت دو تدریسی اصولوں کا انتخاب کیا ہے: یہ یقینی بنانا کہ یہ پروجیکٹ پر مبنی ہے اور اس میں بار بار کوئز شامل ہیں۔ اس سیریز کے اختتام تک، طلباء ایک پودے کی نگرانی اور پانی دینے کا نظام، ایک گاڑی کا ٹریکر، ایک سمارٹ فیکٹری سیٹ اپ جو کھانے کو ٹریک اور چیک کرے، اور ایک آواز سے کنٹرول ہونے والا کھانا پکانے کا ٹائمر بنائیں گے، اور IoT کی بنیادی باتیں سیکھیں گے جن میں ڈیوائس کوڈ لکھنا، کلاؤڈ سے جڑنا، ٹیلیمیٹری کا تجزیہ کرنا اور ایج پر AI چلانا شامل ہے۔  
+ہم نے اس نصاب کو بناتے وقت دو تدریسی اصولوں کا انتخاب کیا ہے: یہ یقینی بنانا کہ یہ پروجیکٹ پر مبنی ہے اور اس میں بار بار کوئز شامل ہیں۔ اس سیریز کے اختتام تک، طلباء ایک پودے کی نگرانی اور پانی دینے کا نظام، ایک گاڑی کا ٹریکر، ایک سمارٹ فیکٹری سیٹ اپ جو کھانے کو ٹریک اور چیک کرے، اور ایک آواز سے کنٹرول ہونے والا کھانا پکانے کا ٹائمر بنائیں گے، اور IoT کی بنیادی باتیں سیکھیں گے، بشمول ڈیوائس کوڈ لکھنا، کلاؤڈ سے جڑنا، ٹیلی میٹری کا تجزیہ کرنا اور ایج پر AI چلانا۔  
 
-یہ یقینی بنا کر کہ مواد پروجیکٹس کے ساتھ ہم آہنگ ہے، عمل طلباء کے لیے زیادہ دلچسپ بنایا گیا ہے اور تصورات کی یادداشت کو بڑھایا جائے گا۔  
+یہ یقینی بنا کر کہ مواد پروجیکٹس کے ساتھ ہم آہنگ ہے، عمل طلباء کے لیے زیادہ دلچسپ بنایا گیا ہے اور تصورات کی یادداشت میں اضافہ ہوگا۔  
 
-اس کے علاوہ، کلاس سے پہلے ایک کم دباؤ والا کوئز طالب علم کو ایک موضوع سیکھنے کی طرف متوجہ کرتا ہے، جبکہ کلاس کے بعد دوسرا کوئز مزید یادداشت کو یقینی بناتا ہے۔ یہ نصاب لچکدار اور دلچسپ بنایا گیا ہے اور اسے مکمل یا جزوی طور پر لیا جا سکتا ہے۔ پروجیکٹس چھوٹے سے شروع ہوتے ہیں اور 12 ہفتے کے سائیکل کے اختتام تک بتدریج پیچیدہ ہو جاتے ہیں۔  
+اس کے علاوہ، کلاس سے پہلے ایک کم دباؤ والا کوئز طالب علم کی توجہ کسی موضوع کو سیکھنے کی طرف متوجہ کرتا ہے، جبکہ کلاس کے بعد دوسرا کوئز مزید یادداشت کو یقینی بناتا ہے۔ یہ نصاب لچکدار اور تفریحی طور پر ڈیزائن کیا گیا ہے اور اسے مکمل یا جزوی طور پر لیا جا سکتا ہے۔ پروجیکٹس چھوٹے سے شروع ہوتے ہیں اور 12 ہفتوں کے سائیکل کے اختتام تک بتدریج پیچیدہ ہو جاتے ہیں۔  
 
-ہر پروجیکٹ حقیقی دنیا کے ہارڈویئر پر مبنی ہے جو طلباء اور شوقین افراد کے لیے دستیاب ہے۔ ہر پروجیکٹ مخصوص پروجیکٹ ڈومین میں گہرائی سے جاتا ہے، متعلقہ پس منظر کی معلومات فراہم کرتا ہے۔ ایک کامیاب ڈویلپر بننے کے لیے یہ مددگار ہوتا ہے کہ آپ اس ڈومین کو سمجھیں جس میں آپ مسائل حل کر رہے ہیں، یہ پس منظر کی معلومات طلباء کو ان کے IoT حل اور سیکھنے کو حقیقی دنیا کے مسئلے کے تناظر میں سوچنے کی اجازت دیتی ہیں جو وہ IoT ڈویلپر کے طور پر حل کرنے کے لیے کہا جا سکتا ہے۔ طلباء ان حلوں کے 'کیوں' کو سیکھتے ہیں جو وہ بنا رہے ہیں، اور اختتامی صارف کی تعریف حاصل کرتے ہیں۔  
+ہر پروجیکٹ حقیقی دنیا کے ہارڈویئر پر مبنی ہے جو طلباء اور شوقین افراد کے لیے دستیاب ہے۔ ہر پروجیکٹ مخصوص پروجیکٹ ڈومین میں دیکھتا ہے، متعلقہ پس منظر کا علم فراہم کرتا ہے۔ ایک کامیاب ڈویلپر بننے کے لیے، یہ مددگار ہوتا ہے کہ آپ اس ڈومین کو سمجھیں جس میں آپ مسائل حل کر رہے ہیں، یہ پس منظر کا علم طلباء کو ان کے IoT حل اور سیکھنے کو اس قسم کے حقیقی دنیا کے مسئلے کے تناظر میں سوچنے کی اجازت دیتا ہے جسے وہ IoT ڈویلپر کے طور پر حل کرنے کے لیے کہا جا سکتا ہے۔ طلباء ان حلوں کے 'کیوں' کو سیکھتے ہیں جو وہ بنا رہے ہیں، اور اختتامی صارف کی تعریف حاصل کرتے ہیں۔  
 
 ## ہارڈویئر  
 
-ہم نے پروجیکٹس کے لیے IoT ہارڈویئر کے دو اختیارات فراہم کیے ہیں جو ذاتی ترجیحات، پروگرامنگ زبان کے علم یا ترجیحات، سیکھنے کے اہداف اور دستیابی پر منحصر ہیں۔ ہم نے ان لوگوں کے لیے 'ورچوئل ہارڈویئر' ورژن بھی فراہم کیا ہے جن کے پاس ہارڈویئر تک رسائی نہیں ہے، یا خریداری سے پہلے مزید سیکھنا چاہتے ہیں۔ آپ مزید پڑھ سکتے ہیں اور [ہارڈویئر صفحہ](./hardware.md) پر 'شاپنگ لسٹ' تلاش کر سکتے ہیں، جس میں ہمارے دوست Seeed Studio سے مکمل کٹس خریدنے کے لنکس شامل ہیں۔  
+پروجیکٹس کے لیے IoT ہارڈویئر کے دو انتخاب ہیں جو ذاتی ترجیح، پروگرامنگ زبان کے علم یا ترجیحات، سیکھنے کے اہداف اور دستیابی پر منحصر ہیں۔ ہم نے ان لوگوں کے لیے ایک 'ورچوئل ہارڈویئر' ورژن بھی فراہم کیا ہے جن کے پاس ہارڈویئر تک رسائی نہیں ہے، یا خریداری کے لیے عزم کرنے سے پہلے مزید سیکھنا چاہتے ہیں۔ آپ مزید پڑھ سکتے ہیں اور [ہارڈویئر صفحہ](./hardware.md) پر ایک 'شاپنگ لسٹ' تلاش کر سکتے ہیں، جس میں Seeed Studio کے ہمارے دوستوں سے مکمل کٹس خریدنے کے لنکس شامل ہیں۔  
 
-> 💁 ہمارا [Code of Conduct](CODE_OF_CONDUCT.md)، [Contributing](CONTRIBUTING.md)، اور [Translation](TRANSLATIONS.md) گائیڈ لائنز دیکھیں۔ ہم آپ کی تعمیری رائے کا خیر مقدم کرتے ہیں!  
+> 💁 ہمارا [Code of Conduct](CODE_OF_CONDUCT.md)، [Contributing](CONTRIBUTING.md)، اور [Translation](TRANSLATIONS.md) رہنما خطوط تلاش کریں۔ ہم آپ کی تعمیری رائے کا خیرمقدم کرتے ہیں!  
 
-## ہر سبق میں شامل ہے:  
+## ہر سبق میں شامل ہیں:  
 
 - اسکیچ نوٹ  
 - اختیاری اضافی ویڈیو  
-- سبق سے پہلے وارم اپ کوئز  
+- سبق سے پہلے کا وارم اپ کوئز  
 - تحریری سبق  
 - پروجیکٹ پر مبنی اسباق کے لیے، پروجیکٹ بنانے کے لیے مرحلہ وار گائیڈز  
 - علم کی جانچ  
 - ایک چیلنج  
 - اضافی مطالعہ  
 - اسائنمنٹ  
-- [سبق کے بعد کوئز](https://ff-quizzes.netlify.app/en/)  
+- [سبق کے بعد کا کوئز](https://ff-quizzes.netlify.app/en/)  
+> **کوئز کے بارے میں ایک نوٹ**: تمام کوئز quiz-app فولڈر میں موجود ہیں، کل 48 کوئز ہیں جن میں ہر ایک میں تین سوالات ہیں۔ یہ اسباق کے اندر سے لنک کیے گئے ہیں لیکن کوئز ایپ کو مقامی طور پر چلایا جا سکتا ہے یا Azure پر ڈیپلائی کیا جا سکتا ہے؛ `quiz-app` فولڈر میں دی گئی ہدایات پر عمل کریں۔ یہ بتدریج مقامی زبانوں میں ترجمہ کیے جا رہے ہیں۔
 
-> **کوئز کے بارے میں ایک نوٹ**: تمام کوئز quiz-app فولڈر میں موجود ہیں، کل 48 کوئز، ہر ایک میں تین سوالات۔ وہ اسباق کے اندر سے لنک کیے گئے ہیں لیکن quiz-app کو مقامی طور پر چلایا جا سکتا ہے یا Azure پر تعینات کیا جا سکتا ہے؛ `quiz-app` فولڈر میں ہدایات پر عمل کریں۔ وہ بتدریج مقامی زبان میں ترجمہ کیے جا رہے ہیں۔  
+## اسباق
 
-## اسباق  
-
-|       |              پروجیکٹ کا نام              |                       سکھائے گئے تصورات                       | سیکھنے کے مقاصد                                                                                                                                                 |                                                        لنک شدہ سبق                                                         |  
-| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |  
-|  01   | [شروع کریں](./1-getting-started/README.md) |                     آئی او ٹی کا تعارف                     | آئی او ٹی کے بنیادی اصول اور آئی او ٹی حل کے بنیادی اجزاء جیسے سینسرز اور کلاؤڈ سروسز کے بارے میں سیکھیں جبکہ آپ اپنا پہلا آئی او ٹی ڈیوائس سیٹ اپ کر رہے ہیں |                      [آئی او ٹی کا تعارف](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [شروع کریں](./1-getting-started/README.md) |                   آئی او ٹی میں مزید گہرائی                   | آئی او ٹی سسٹم کے اجزاء، مائیکرو کنٹرولرز اور سنگل بورڈ کمپیوٹرز کے بارے میں مزید جانیں                                                            |                        [آئی او ٹی میں مزید گہرائی](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|       |              پروجیکٹ کا نام              |                       سکھائے گئے تصورات                       | سیکھنے کے مقاصد                                                                                                                                                 |                                                        لنک شدہ سبق                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
+|  01   | [شروع کریں](./1-getting-started/README.md) |                     IoT کا تعارف                     | IoT کے بنیادی اصول اور IoT حل کے بنیادی اجزاء جیسے سینسرز اور کلاؤڈ سروسز کے بارے میں سیکھیں جبکہ آپ اپنا پہلا IoT ڈیوائس سیٹ اپ کر رہے ہیں |                      [IoT کا تعارف](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [شروع کریں](./1-getting-started/README.md) |                   IoT میں مزید گہرائی                    | IoT سسٹم کے اجزاء، مائیکرو کنٹرولرز اور سنگل بورڈ کمپیوٹرز کے بارے میں مزید سیکھیں                                                            |                        [IoT میں مزید گہرائی](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [شروع کریں](./1-getting-started/README.md) | سینسرز اور ایکچیویٹرز کے ساتھ جسمانی دنیا کے ساتھ تعامل کریں | جسمانی دنیا سے ڈیٹا جمع کرنے کے لیے سینسرز اور فیڈبیک بھیجنے کے لیے ایکچیویٹرز کے بارے میں سیکھیں، جبکہ آپ ایک نائٹ لائٹ بناتے ہیں                                           | [سینسرز اور ایکچیویٹرز کے ساتھ جسمانی دنیا کے ساتھ تعامل کریں](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [شروع کریں](./1-getting-started/README.md) |             اپنے ڈیوائس کو انٹرنیٹ سے جوڑیں             | سیکھیں کہ آئی او ٹی ڈیوائس کو انٹرنیٹ سے کیسے جوڑا جائے تاکہ پیغامات بھیجے اور وصول کیے جا سکیں، اپنے نائٹ لائٹ کو MQTT بروکر سے جوڑ کر                               |               [اپنے ڈیوائس کو انٹرنیٹ سے جوڑیں](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [فارم](./2-farm/README.md)            |                    پودوں کی نشوونما کی پیش گوئی کریں                     | سیکھیں کہ آئی او ٹی ڈیوائس کے ذریعے حاصل کردہ درجہ حرارت کے ڈیٹا کا استعمال کرتے ہوئے پودوں کی نشوونما کی پیش گوئی کیسے کریں                                                                                  |                          [پودوں کی نشوونما کی پیش گوئی کریں](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
-|  06   |            [فارم](./2-farm/README.md)            |                    مٹی کی نمی کا پتہ لگائیں                     | سیکھیں کہ مٹی کی نمی کا پتہ کیسے لگایا جائے اور مٹی کی نمی کے سینسر کو کیسے کیلیبریٹ کیا جائے                                                                                              |                          [مٹی کی نمی کا پتہ لگائیں](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [فارم](./2-farm/README.md)            |                  پودوں کو خودکار طریقے سے پانی دینا                   | سیکھیں کہ ریلے اور MQTT کا استعمال کرتے ہوئے پانی دینے کو خودکار اور وقت کیسے کریں                                                                                                      |                      [پودوں کو خودکار طریقے سے پانی دینا](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [فارم](./2-farm/README.md)            |               اپنے پودے کو کلاؤڈ میں منتقل کریں               | کلاؤڈ اور کلاؤڈ ہوسٹڈ آئی او ٹی سروسز کے بارے میں سیکھیں اور اپنے پودے کو عوامی MQTT بروکر کے بجائے ان میں سے کسی ایک سے کیسے جوڑیں                                   |               [اپنے پودے کو کلاؤڈ میں منتقل کریں](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [فارم](./2-farm/README.md)            |         اپنی ایپلیکیشن لاجک کو کلاؤڈ میں منتقل کریں         | سیکھیں کہ آپ کلاؤڈ میں ایپلیکیشن لاجک کیسے لکھ سکتے ہیں جو آئی او ٹی پیغامات کا جواب دیتا ہے                                                                          |         [اپنی ایپلیکیشن لاجک کو کلاؤڈ میں منتقل کریں](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [فارم](./2-farm/README.md)            |                   اپنے پودے کو محفوظ رکھیں                    | آئی او ٹی کے ساتھ سیکیورٹی کے بارے میں سیکھیں اور اپنے پودے کو چابیاں اور سرٹیفکیٹس کے ساتھ محفوظ کیسے رکھیں                                                                          |                        [اپنے پودے کو محفوظ رکھیں](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [ٹرانسپورٹ](./3-transport/README.md)       |                      مقام کی ٹریکنگ                      | آئی او ٹی ڈیوائسز کے لیے جی پی ایس مقام کی ٹریکنگ کے بارے میں سیکھیں                                                                                                                   |                           [مقام کی ٹریکنگ](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [ٹرانسپورٹ](./3-transport/README.md)       |                     مقام کا ڈیٹا محفوظ کریں                     | آئی او ٹی ڈیٹا کو محفوظ کرنے کے بارے میں سیکھیں تاکہ بعد میں اسے بصری یا تجزیہ کیا جا سکے                                                                                                      |                         [مقام کا ڈیٹا محفوظ کریں](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [ٹرانسپورٹ](./3-transport/README.md)       |                   مقام کے ڈیٹا کو بصری بنائیں                   | نقشے پر مقام کے ڈیٹا کو بصری بنانے کے بارے میں سیکھیں، اور یہ کہ نقشے حقیقی 3D دنیا کو 2 جہتوں میں کیسے ظاہر کرتے ہیں                                                            |                     [مقام کے ڈیٹا کو بصری بنائیں](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [ٹرانسپورٹ](./3-transport/README.md)       |                          جیو فینس                          | جیو فینس کے بارے میں سیکھیں، اور یہ کہ سپلائی چین میں گاڑیاں اپنی منزل کے قریب ہونے پر الرٹ کیسے دی جا سکتی ہیں                                           |                                   [جیو فینس](./3-transport/lessons/4-geofences/README.md)                                   |
-|  15   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |               پھلوں کے معیار کا ڈیٹیکٹر ٹرین کریں                | کلاؤڈ میں امیج کلاسیفائر کو ٹرین کرنے کے بارے میں سیکھیں تاکہ پھلوں کے معیار کا پتہ لگایا جا سکے                                                                                       |                 [پھلوں کے معیار کا ڈیٹیکٹر ٹرین کریں](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |           آئی او ٹی ڈیوائس سے پھلوں کے معیار کو چیک کریں            | آئی او ٹی ڈیوائس سے اپنے پھلوں کے معیار کے ڈیٹیکٹر کا استعمال کرنے کے بارے میں سیکھیں                                                                                                    |           [آئی او ٹی ڈیوائس سے پھلوں کے معیار کو چیک کریں](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |             اپنے پھلوں کے ڈیٹیکٹر کو ایج پر چلائیں             | ایج پر آئی او ٹی ڈیوائس پر اپنے پھلوں کے ڈیٹیکٹر کو چلانے کے بارے میں سیکھیں                                                                                                |             [اپنے پھلوں کے ڈیٹیکٹر کو ایج پر چلائیں](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
-|  18   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |        سینسر سے پھلوں کے معیار کا پتہ لگانے کو ٹرگر کریں        | سینسر سے پھلوں کے معیار کا پتہ لگانے کو ٹرگر کرنے کے بارے میں سیکھیں                                                                                                        |        [سینسر سے پھلوں کے معیار کا پتہ لگانے کو ٹرگر کریں](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
-|  19   |          [ریٹیل](./5-retail/README.md)          |                   اسٹاک ڈیٹیکٹر ٹرین کریں                    | سیکھیں کہ آبجیکٹ ڈیٹیکشن کا استعمال کرتے ہوئے اسٹاک ڈیٹیکٹر کو ٹرین کیسے کریں تاکہ دکان میں اسٹاک کی گنتی کی جا سکے                                                                                |                        [اسٹاک ڈیٹیکٹر ٹرین کریں](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [ریٹیل](./5-retail/README.md)          |               آئی او ٹی ڈیوائس سے اسٹاک چیک کریں                | سیکھیں کہ آبجیکٹ ڈیٹیکشن ماڈل کا استعمال کرتے ہوئے آئی او ٹی ڈیوائس سے اسٹاک کیسے چیک کریں                                                                                         |                     [آئی او ٹی ڈیوائس سے اسٹاک چیک کریں](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [کنزیومر](./6-consumer/README.md)        |             آئی او ٹی ڈیوائس کے ساتھ تقریر کو پہچانیں             | سیکھیں کہ آئی او ٹی ڈیوائس سے تقریر کو پہچان کر ایک سمارٹ ٹائمر کیسے بنائیں                                                                                             |                  [آئی او ٹی ڈیوائس کے ساتھ تقریر کو پہچانیں](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [کنزیومر](./6-consumer/README.md)        |                     زبان کو سمجھیں                     | سیکھیں کہ آئی او ٹی ڈیوائس سے بولے گئے جملوں کو کیسے سمجھا جائے                                                                                                           |                        [زبان کو سمجھیں](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [کنزیومر](./6-consumer/README.md)        |           ٹائمر سیٹ کریں اور بولے گئے فیڈبیک فراہم کریں           | سیکھیں کہ آئی او ٹی ڈیوائس پر ٹائمر کیسے سیٹ کریں اور جب ٹائمر سیٹ ہو اور ختم ہو تو بولے گئے فیڈبیک کیسے دیں                                                    |                 [ٹائمر سیٹ کریں اور بولے گئے فیڈبیک فراہم کریں](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [کنزیومر](./6-consumer/README.md)        |                 متعدد زبانوں کی حمایت کریں                  | سیکھیں کہ متعدد زبانوں کی حمایت کیسے کریں، چاہے وہ آپ سے بولی جا رہی ہوں یا آپ کے سمارٹ ٹائمر کے جوابات                                                               |                   [متعدد زبانوں کی حمایت کریں](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  04   | [شروع کریں](./1-getting-started/README.md) |             اپنے ڈیوائس کو انٹرنیٹ سے جوڑیں             | IoT ڈیوائس کو انٹرنیٹ سے جوڑنے کے بارے میں سیکھیں تاکہ پیغامات بھیجنے اور وصول کرنے کے لیے، اپنی نائٹ لائٹ کو MQTT بروکر سے جوڑ کر                               |               [اپنے ڈیوائس کو انٹرنیٹ سے جوڑیں](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [فارم](./2-farm/README.md)            |                    پودے کی نشوونما کی پیش گوئی کریں                     | IoT ڈیوائس کے ذریعے حاصل کردہ درجہ حرارت کے ڈیٹا کا استعمال کرتے ہوئے پودے کی نشوونما کی پیش گوئی کرنے کے بارے میں سیکھیں                                                                                  |                          [پودے کی نشوونما کی پیش گوئی کریں](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  06   |            [فارم](./2-farm/README.md)            |                    مٹی کی نمی کا پتہ لگائیں                     | مٹی کی نمی کا پتہ لگانے اور مٹی کی نمی کے سینسر کو کیلیبریٹ کرنے کے بارے میں سیکھیں                                                                                              |                          [مٹی کی نمی کا پتہ لگائیں](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
+|  07   |            [فارم](./2-farm/README.md)            |                  پودے کو خودکار طریقے سے پانی دینا                   | ریلے اور MQTT کا استعمال کرتے ہوئے پانی دینے کو خودکار اور وقت مقرر کرنے کے بارے میں سیکھیں                                                                                                      |                      [پودے کو خودکار طریقے سے پانی دینا](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [فارم](./2-farm/README.md)            |               اپنے پودے کو کلاؤڈ پر منتقل کریں               | کلاؤڈ اور کلاؤڈ پر ہوسٹ کیے گئے IoT سروسز کے بارے میں سیکھیں اور اپنے پودے کو عوامی MQTT بروکر کے بجائے ان میں سے کسی ایک سے جوڑنے کے بارے میں سیکھیں                                   |               [اپنے پودے کو کلاؤڈ پر منتقل کریں](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [فارم](./2-farm/README.md)            |         اپنی ایپلیکیشن لاجک کو کلاؤڈ پر منتقل کریں         | اس بارے میں سیکھیں کہ آپ IoT پیغامات کا جواب دینے کے لیے کلاؤڈ میں ایپلیکیشن لاجک کیسے لکھ سکتے ہیں                                                                          |         [اپنی ایپلیکیشن لاجک کو کلاؤڈ پر منتقل کریں](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [فارم](./2-farm/README.md)            |                   اپنے پودے کو محفوظ رکھیں                    | IoT کے ساتھ سیکیورٹی کے بارے میں سیکھیں اور اپنے پودے کو چابیاں اور سرٹیفکیٹس کے ساتھ محفوظ رکھنے کے بارے میں سیکھیں                                                                          |                        [اپنے پودے کو محفوظ رکھیں](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [ٹرانسپورٹ](./3-transport/README.md)       |                      مقام کی ٹریکنگ                      | IoT ڈیوائسز کے لیے GPS مقام کی ٹریکنگ کے بارے میں سیکھیں                                                                                                                   |                           [مقام کی ٹریکنگ](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [ٹرانسپورٹ](./3-transport/README.md)       |                     مقام کا ڈیٹا محفوظ کریں                     | IoT ڈیٹا کو محفوظ کرنے کے بارے میں سیکھیں تاکہ بعد میں اسے بصری یا تجزیہ کیا جا سکے                                                                                                      |                         [مقام کا ڈیٹا محفوظ کریں](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [ٹرانسپورٹ](./3-transport/README.md)       |                   مقام کے ڈیٹا کو بصری بنائیں                   | نقشے پر مقام کے ڈیٹا کو بصری بنانے کے بارے میں سیکھیں، اور یہ کہ نقشے حقیقی 3D دنیا کو 2D میں کیسے ظاہر کرتے ہیں                                                            |                     [مقام کے ڈیٹا کو بصری بنائیں](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [ٹرانسپورٹ](./3-transport/README.md)       |                          جیو فینس                          | جیو فینس کے بارے میں سیکھیں، اور یہ کہ سپلائی چین میں گاڑیاں اپنی منزل کے قریب ہونے پر الرٹ کرنے کے لیے ان کا استعمال کیسے کیا جا سکتا ہے                                           |                                   [جیو فینس](./3-transport/lessons/4-geofences/README.md)                                   |
+|  15   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |               پھلوں کے معیار کا پتہ لگانے والا تربیت دیں                | کلاؤڈ میں ایک امیج کلاسفائر کو تربیت دینے کے بارے میں سیکھیں تاکہ پھلوں کے معیار کا پتہ لگایا جا سکے                                                                                       |                 [پھلوں کے معیار کا پتہ لگانے والا تربیت دیں](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
+|  16   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |           IoT ڈیوائس سے پھلوں کے معیار کو چیک کریں            | IoT ڈیوائس سے پھلوں کے معیار کا پتہ لگانے والے کا استعمال کرنے کے بارے میں سیکھیں                                                                                                    |           [IoT ڈیوائس سے پھلوں کے معیار کو چیک کریں](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |             اپنے پھلوں کے پتہ لگانے والے کو ایج پر چلائیں             | IoT ڈیوائس پر ایج پر اپنے پھلوں کے پتہ لگانے والے کو چلانے کے بارے میں سیکھیں                                                                                                |             [اپنے پھلوں کے پتہ لگانے والے کو ایج پر چلائیں](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  18   |   [مینوفیکچرنگ](./4-manufacturing/README.md)   |        سینسر سے پھلوں کے معیار کا پتہ لگانے کو متحرک کریں        | سینسر سے پھلوں کے معیار کا پتہ لگانے کو متحرک کرنے کے بارے میں سیکھیں                                                                                                        |        [سینسر سے پھلوں کے معیار کا پتہ لگانے کو متحرک کریں](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
+|  19   |          [ریٹیل](./5-retail/README.md)          |                   اسٹاک کا پتہ لگانے والا تربیت دیں                    | آبجیکٹ ڈیٹیکشن کا استعمال کرتے ہوئے اسٹاک کا پتہ لگانے والے کو تربیت دینے کے بارے میں سیکھیں تاکہ دکان میں اسٹاک کی گنتی کی جا سکے                                                                                |                        [اسٹاک کا پتہ لگانے والا تربیت دیں](./5-retail/lessons/1-train-stock-detector/README.md)                         |
+|  20   |          [ریٹیل](./5-retail/README.md)          |               IoT ڈیوائس سے اسٹاک چیک کریں                | آبجیکٹ ڈیٹیکشن ماڈل کا استعمال کرتے ہوئے IoT ڈیوائس سے اسٹاک چیک کرنے کے بارے میں سیکھیں                                                                                         |                     [IoT ڈیوائس سے اسٹاک چیک کریں](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [کنزیومر](./6-consumer/README.md)        |             IoT ڈیوائس کے ساتھ تقریر کو پہچانیں             | IoT ڈیوائس سے تقریر کو پہچاننے کے بارے میں سیکھیں تاکہ ایک سمارٹ ٹائمر بنایا جا سکے                                                                                             |                  [IoT ڈیوائس کے ساتھ تقریر کو پہچانیں](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [کنزیومر](./6-consumer/README.md)        |                     زبان کو سمجھیں                     | IoT ڈیوائس سے بولے گئے جملوں کو سمجھنے کے بارے میں سیکھیں                                                                                                           |                        [زبان کو سمجھیں](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [کنزیومر](./6-consumer/README.md)        |           ٹائمر سیٹ کریں اور زبانی فیڈبیک فراہم کریں           | IoT ڈیوائس پر ٹائمر سیٹ کرنے اور یہ بتانے کے لیے زبانی فیڈبیک دینے کے بارے میں سیکھیں کہ ٹائمر کب سیٹ ہوا اور کب ختم ہوا                                                    |                 [ٹائمر سیٹ کریں اور زبانی فیڈبیک فراہم کریں](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [کنزیومر](./6-consumer/README.md)        |                 متعدد زبانوں کی حمایت کریں                  | متعدد زبانوں کی حمایت کرنے کے بارے میں سیکھیں، چاہے وہ بولی جا رہی ہوں یا آپ کے سمارٹ ٹائمر کے جوابات                                                               |                   [متعدد زبانوں کی حمایت کریں](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## آف لائن رسائی
 
-آپ اس دستاویز کو آف لائن Docsify کے ذریعے چلا سکتے ہیں۔ اس ریپو کو فورک کریں، [Docsify انسٹال کریں](https://docsify.js.org/#/quickstart) اپنی لوکل مشین پر، اور پھر اس ریپو کے روٹ فولڈر میں `docsify serve` ٹائپ کریں۔ ویب سائٹ آپ کے لوکل ہوسٹ پر پورٹ 3000 پر پیش کی جائے گی: `localhost:3000`۔
+آپ اس دستاویز کو آف لائن [Docsify](https://docsify.js.org/#/) کا استعمال کرتے ہوئے چلا سکتے ہیں۔ اس ریپو کو فورک کریں، [Docsify انسٹال کریں](https://docsify.js.org/#/quickstart) اپنی مقامی مشین پر، اور پھر اس ریپو کے روٹ فولڈر میں `docsify serve` ٹائپ کریں۔ ویب سائٹ آپ کے لوکل ہوسٹ پر پورٹ 3000 پر چلائی جائے گی: `localhost:3000`۔
 
 ## کوئز
 
-ہر باب پر اپنے علم کی جانچ کرنے کے لیے انٹرایکٹو کوئز کی میزبانی کرنے کے لیے کمیونٹی کا شکریہ۔ آپ اپنا علم [یہاں](https://ff-quizzes.netlify.app/en/) جانچ سکتے ہیں۔
+کمیونٹی کا شکریہ کہ انہوں نے انٹرایکٹو کوئز کی میزبانی کی جو ہر باب پر آپ کے علم کی جانچ کرتا ہے۔ آپ اپنا علم [یہاں](https://ff-quizzes.netlify.app/en/) جانچ سکتے ہیں۔
 
 ### پی ڈی ایف
 
-آپ اس مواد کا پی ڈی ایف آف لائن رسائی کے لیے بنا سکتے ہیں اگر ضرورت ہو۔ ایسا کرنے کے لیے، یقینی بنائیں کہ آپ نے [npm انسٹال کیا ہے](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) اور اس ریپو کے روٹ فولڈر میں درج ذیل کمانڈز چلائیں:
+آپ آف لائن رسائی کے لیے اس مواد کا پی ڈی ایف بنا سکتے ہیں اگر ضرورت ہو۔ ایسا کرنے کے لیے، یقینی بنائیں کہ آپ کے پاس [npm انسٹال](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) ہے اور اس ریپو کے روٹ فولڈر میں درج ذیل کمانڈز چلائیں:
 
 ```sh
 npm i
@@ -157,37 +161,39 @@ npm run convert
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
+
 ### Generative AI Series
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+[![جنریٹیو اے آئی (جاوا اسکرپٹ)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### کور لرننگ
-[![مشین لرننگ کے ابتدائی کورس](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ڈیٹا سائنس کے ابتدائی کورس](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![مصنوعی ذہانت کے ابتدائی کورس](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![سائبر سیکیورٹی کے ابتدائی کورس](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![ویب ڈیولپمنٹ کے ابتدائی کورس](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![آئی او ٹی کے ابتدائی کورس](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![ایکس آر ڈیولپمنٹ کے ابتدائی کورس](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### بنیادی سیکھنے کے مواد
+[![ابتدائیوں کے لیے مشین لرننگ](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ابتدائیوں کے لیے ڈیٹا سائنس](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ابتدائیوں کے لیے اے آئی](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ابتدائیوں کے لیے سائبر سیکیورٹی](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![ابتدائیوں کے لیے ویب ڈیولپمنٹ](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ابتدائیوں کے لیے آئی او ٹی](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![ابتدائیوں کے لیے ایکس آر ڈیولپمنٹ](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
 
 ---
 
-### کوپائلٹ سیریز  
-[![کوپائلٹ برائے مصنوعی ذہانت کے ساتھ پروگرامنگ](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![کوپائلٹ برائے C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+### کوپائلٹ سیریز
+[![اے آئی پیئرڈ پروگرامنگ کے لیے کوپائلٹ](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![C#/.NET کے لیے کوپائلٹ](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
 [![کوپائلٹ ایڈونچر](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
-<!-- کوپائلٹ کے دیگر کورسز ختم -->
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## تصاویر کے حوالہ جات  
+## تصاویر کے حوالہ جات
 
-آپ اس نصاب میں استعمال ہونے والی تصاویر کے تمام حوالہ جات [حوالہ جات](./attributions.md) میں دیکھ سکتے ہیں۔  
+آپ اس نصاب میں استعمال ہونے والی تصاویر کے تمام حوالہ جات [حوالہ جات](./attributions.md) میں دیکھ سکتے ہیں۔
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **ڈسکلیمر**:  
-یہ دستاویز AI ترجمہ سروس [Co-op Translator](https://github.com/Azure/co-op-translator) کا استعمال کرتے ہوئے ترجمہ کی گئی ہے۔ ہم درستگی کے لیے کوشش کرتے ہیں، لیکن براہ کرم آگاہ رہیں کہ خودکار ترجمے میں غلطیاں یا غیر درستیاں ہو سکتی ہیں۔ اصل دستاویز کو اس کی اصل زبان میں مستند ذریعہ سمجھا جانا چاہیے۔ اہم معلومات کے لیے، پیشہ ور انسانی ترجمہ کی سفارش کی جاتی ہے۔ ہم اس ترجمے کے استعمال سے پیدا ہونے والی کسی بھی غلط فہمی یا غلط تشریح کے ذمہ دار نہیں ہیں۔
\ No newline at end of file
+یہ دستاویز AI ترجمہ سروس [Co-op Translator](https://github.com/Azure/co-op-translator) کا استعمال کرتے ہوئے ترجمہ کی گئی ہے۔ ہم درستگی کے لیے کوشش کرتے ہیں، لیکن براہ کرم آگاہ رہیں کہ خودکار ترجمے میں غلطیاں یا غیر درستیاں ہو سکتی ہیں۔ اصل دستاویز کو اس کی اصل زبان میں مستند ذریعہ سمجھا جانا چاہیے۔ اہم معلومات کے لیے، پیشہ ور انسانی ترجمہ کی سفارش کی جاتی ہے۔ ہم اس ترجمے کے استعمال سے پیدا ہونے والی کسی بھی غلط فہمی یا غلط تشریح کے ذمہ دار نہیں ہیں۔
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/vi/README.md b/translations/vi/README.md
index 2d5cf03a6..7ca8e1683 100644
--- a/translations/vi/README.md
+++ b/translations/vi/README.md
@@ -1,139 +1,145 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T09:17:10+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:53:55+00:00",
   "source_file": "README.md",
   "language_code": "vi"
 }
 -->
-[![Giấy phép GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![Những người đóng góp GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![Vấn đề GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![Yêu cầu kéo GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![Giấy phép GitHub](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![Người đóng góp GitHub](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![Vấn đề GitHub](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![Yêu cầu kéo GitHub](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![Chào mừng PRs](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![Người theo dõi GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![Nhánh GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![Sao GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![Người theo dõi GitHub](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![Sao GitHub](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
-### Tham gia cộng đồng Azure AI Foundry
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
+### Tham gia Cộng đồng Azure AI Foundry  
 
-Làm theo các bước sau để bắt đầu sử dụng tài nguyên này:
-1. **Nhánh kho lưu trữ**: Nhấn [![Nhánh GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **Sao chép kho lưu trữ**:   `git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**Tham gia Discord Azure AI Foundry và gặp gỡ các chuyên gia cùng các nhà phát triển khác**](https://discord.com/invite/ByRwuEEgH4)
+Nếu bạn gặp khó khăn hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI, hãy tham gia cùng các học viên và nhà phát triển có kinh nghiệm để thảo luận về MCP. Đây là một cộng đồng hỗ trợ, nơi mọi câu hỏi đều được chào đón và kiến thức được chia sẻ tự do.  
 
-### 🌐 Hỗ trợ đa ngôn ngữ
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
 
-#### Được hỗ trợ qua GitHub Action (Tự động & Luôn cập nhật)
+Nếu bạn có phản hồi về sản phẩm hoặc gặp lỗi trong quá trình xây dựng, hãy truy cập:  
 
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](./README.md)
+[![Diễn đàn Nhà phát triển Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)  
 
-# IoT cho người mới bắt đầu - Một chương trình học
+Thực hiện các bước sau để bắt đầu sử dụng các tài nguyên này:  
+1. **Fork Kho lưu trữ**: Nhấp vào [![Forks GitHub](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **Clone Kho lưu trữ**: `git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**Tham gia Microsoft Foundry Discord và gặp gỡ các chuyên gia cùng các nhà phát triển khác**](https://discord.com/invite/ByRwuEEgH4)  
 
-Các nhà truyền bá đám mây Azure tại Microsoft rất vui mừng giới thiệu chương trình học kéo dài 12 tuần, gồm 24 bài học về các kiến thức cơ bản của IoT. Mỗi bài học bao gồm các bài kiểm tra trước và sau bài học, hướng dẫn viết để hoàn thành bài học, giải pháp, bài tập và nhiều hơn nữa. Phương pháp học dựa trên dự án của chúng tôi cho phép bạn học thông qua việc thực hành, một cách đã được chứng minh để giúp các kỹ năng mới được ghi nhớ lâu dài.
+### 🌐 Hỗ trợ Đa ngôn ngữ  
 
-Các dự án bao gồm hành trình của thực phẩm từ nông trại đến bàn ăn. Điều này bao gồm nông nghiệp, logistics, sản xuất, bán lẻ và người tiêu dùng - tất cả đều là các lĩnh vực phổ biến cho các thiết bị IoT.
+#### Được hỗ trợ qua GitHub Action (Tự động & Luôn cập nhật)  
 
-![Bản đồ lộ trình khóa học với 24 bài học bao gồm giới thiệu, nông nghiệp, vận chuyển, chế biến, bán lẻ và nấu ăn](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.vi.jpg)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](./README.md)  
 
-> Sketchnote bởi [Nitya Narasimhan](https://github.com/nitya). Nhấn vào hình ảnh để xem phiên bản lớn hơn.
+# IoT cho Người mới bắt đầu - Một Chương trình học  
 
-**Cảm ơn chân thành đến các tác giả của chúng tôi [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), và nghệ sĩ sketchnote của chúng tôi [Nitya Narasimhan](https://github.com/nitya).**
+Nhóm Azure Cloud Advocates tại Microsoft rất vui mừng giới thiệu một chương trình học kéo dài 12 tuần với 24 bài học về các kiến thức cơ bản của IoT. Mỗi bài học bao gồm các bài kiểm tra trước và sau bài học, hướng dẫn viết để hoàn thành bài học, giải pháp, bài tập và nhiều hơn nữa. Phương pháp học dựa trên dự án của chúng tôi cho phép bạn học thông qua việc xây dựng, một cách hiệu quả để các kỹ năng mới được ghi nhớ lâu dài.  
 
-**Cũng xin cảm ơn đội ngũ [Đại sứ sinh viên Microsoft Learn](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) đã xem xét và dịch chương trình học này - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), và [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
+Các dự án bao gồm hành trình của thực phẩm từ nông trại đến bàn ăn. Điều này bao gồm nông nghiệp, logistics, sản xuất, bán lẻ và người tiêu dùng - tất cả đều là các lĩnh vực phổ biến cho các thiết bị IoT.  
 
-Gặp gỡ đội ngũ!
+![Lộ trình khóa học với 24 bài học bao gồm giới thiệu, nông nghiệp, vận chuyển, chế biến, bán lẻ và nấu ăn](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.vi.jpg)  
 
-[![Video giới thiệu](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
+> Sketchnote bởi [Nitya Narasimhan](https://github.com/nitya). Nhấp vào hình ảnh để xem phiên bản lớn hơn.  
 
-**Gif bởi** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
+**Cảm ơn chân thành đến các tác giả của chúng tôi [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), và nghệ sĩ sketchnote của chúng tôi [Nitya Narasimhan](https://github.com/nitya).**  
 
-> 🎥 Nhấn vào hình ảnh trên để xem video về dự án!
+**Cảm ơn thêm đến đội ngũ [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) đã xem xét và dịch chương trình học này - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), và [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**  
 
-> **Giáo viên**, chúng tôi đã [bao gồm một số gợi ý](for-teachers.md) về cách sử dụng chương trình học này. Nếu bạn muốn tạo bài học của riêng mình, chúng tôi cũng đã bao gồm một [mẫu bài học](lesson-template/README.md).
+Gặp gỡ đội ngũ!  
 
-> **[Học sinh](https://aka.ms/student-page)**, để sử dụng chương trình học này một cách độc lập, hãy nhánh toàn bộ kho lưu trữ và hoàn thành các bài tập theo cách của bạn, bắt đầu với bài kiểm tra trước bài học, sau đó đọc bài giảng và hoàn thành các hoạt động còn lại. Hãy cố gắng tạo các dự án bằng cách hiểu bài học thay vì sao chép mã giải pháp; tuy nhiên mã đó có sẵn trong các thư mục /solutions trong mỗi bài học dựa trên dự án. Một ý tưởng khác là tạo một nhóm học tập với bạn bè và cùng nhau học nội dung. Để học thêm, chúng tôi khuyến nghị [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
+[![Video giới thiệu](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)  
 
-Để xem video tổng quan về khóa học này, hãy xem video sau:
+**Gif bởi** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)  
 
-[![Video giới thiệu](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video giới thiệu")
+> 🎥 Nhấp vào hình ảnh trên để xem video về dự án!  
 
-> 🎥 Nhấn vào hình ảnh trên để xem video về dự án!
+> **Giáo viên**, chúng tôi đã [bao gồm một số gợi ý](for-teachers.md) về cách sử dụng chương trình học này. Nếu bạn muốn tạo bài học của riêng mình, chúng tôi cũng đã bao gồm một [mẫu bài học](lesson-template/README.md).  
 
-## Phương pháp giảng dạy
+> **[Học sinh](https://aka.ms/student-page)**, để sử dụng chương trình học này một cách độc lập, hãy fork toàn bộ repo và hoàn thành các bài tập theo cách của bạn, bắt đầu với bài kiểm tra trước bài học, sau đó đọc bài giảng và hoàn thành các hoạt động còn lại. Hãy cố gắng tạo các dự án bằng cách hiểu bài học thay vì sao chép mã giải pháp; tuy nhiên mã đó có sẵn trong các thư mục /solutions trong mỗi bài học dựa trên dự án. Một ý tưởng khác là tạo một nhóm học tập với bạn bè và cùng nhau đi qua nội dung. Để học thêm, chúng tôi khuyến nghị [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).  
 
-Chúng tôi đã chọn hai nguyên tắc giảng dạy khi xây dựng chương trình học này: đảm bảo rằng nó dựa trên dự án và bao gồm các bài kiểm tra thường xuyên. Đến cuối loạt bài này, học sinh sẽ xây dựng được hệ thống giám sát và tưới cây, thiết bị theo dõi phương tiện, hệ thống nhà máy thông minh để theo dõi và kiểm tra thực phẩm, và bộ hẹn giờ nấu ăn điều khiển bằng giọng nói, đồng thời học được các kiến thức cơ bản về Internet of Things bao gồm cách viết mã cho thiết bị, kết nối với đám mây, phân tích dữ liệu và chạy AI tại biên.
+Để xem video tổng quan về khóa học này, hãy xem video sau:  
 
-Bằng cách đảm bảo nội dung phù hợp với các dự án, quá trình học tập trở nên hấp dẫn hơn đối với học sinh và giúp tăng cường khả năng ghi nhớ các khái niệm.
+[![Video giới thiệu](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "Video giới thiệu")  
 
-Ngoài ra, một bài kiểm tra nhẹ nhàng trước lớp giúp học sinh định hướng học tập về một chủ đề, trong khi bài kiểm tra thứ hai sau lớp đảm bảo sự ghi nhớ lâu dài. Chương trình học này được thiết kế để linh hoạt và thú vị, có thể học toàn bộ hoặc từng phần. Các dự án bắt đầu nhỏ và trở nên phức tạp hơn vào cuối chu kỳ 12 tuần.
+> 🎥 Nhấp vào hình ảnh trên để xem video về dự án!  
 
-Mỗi dự án dựa trên phần cứng thực tế có sẵn cho học sinh và người đam mê. Mỗi dự án đều xem xét lĩnh vực cụ thể của dự án, cung cấp kiến thức nền tảng liên quan. Để trở thành một nhà phát triển thành công, việc hiểu lĩnh vực mà bạn đang giải quyết vấn đề là rất quan trọng, việc cung cấp kiến thức nền tảng này giúp học sinh suy nghĩ về các giải pháp IoT và bài học trong bối cảnh của loại vấn đề thực tế mà họ có thể được yêu cầu giải quyết như một nhà phát triển IoT. Học sinh sẽ hiểu được 'lý do' của các giải pháp mà họ đang xây dựng và có sự đánh giá cao về người dùng cuối.
+## Phương pháp giảng dạy  
 
-## Phần cứng
+Chúng tôi đã chọn hai nguyên tắc giảng dạy khi xây dựng chương trình học này: đảm bảo rằng nó dựa trên dự án và bao gồm các bài kiểm tra thường xuyên. Đến cuối loạt bài này, học sinh sẽ xây dựng được một hệ thống giám sát và tưới cây, một thiết bị theo dõi phương tiện, một hệ thống nhà máy thông minh để theo dõi và kiểm tra thực phẩm, và một bộ hẹn giờ nấu ăn điều khiển bằng giọng nói, đồng thời học được các kiến thức cơ bản về Internet of Things bao gồm cách viết mã thiết bị, kết nối với đám mây, phân tích dữ liệu và chạy AI trên thiết bị biên.  
 
-Chúng tôi có hai lựa chọn phần cứng IoT để sử dụng cho các dự án tùy thuộc vào sở thích cá nhân, kiến thức hoặc sở thích về ngôn ngữ lập trình, mục tiêu học tập và sự sẵn có. Chúng tôi cũng đã cung cấp một phiên bản 'phần cứng ảo' cho những người không có quyền truy cập vào phần cứng hoặc muốn tìm hiểu thêm trước khi quyết định mua. Bạn có thể đọc thêm và tìm danh sách mua sắm trên [trang phần cứng](./hardware.md), bao gồm các liên kết để mua bộ kit hoàn chỉnh từ bạn bè của chúng tôi tại Seeed Studio.
+Bằng cách đảm bảo nội dung gắn liền với các dự án, quá trình học trở nên thú vị hơn cho học sinh và khả năng ghi nhớ các khái niệm sẽ được tăng cường.  
 
-> 💁 Tìm [Quy tắc ứng xử](CODE_OF_CONDUCT.md), [Hướng dẫn đóng góp](CONTRIBUTING.md), và [Hướng dẫn dịch thuật](TRANSLATIONS.md). Chúng tôi hoan nghênh phản hồi mang tính xây dựng của bạn!
+Ngoài ra, một bài kiểm tra nhẹ nhàng trước lớp sẽ giúp học sinh tập trung vào việc học một chủ đề, trong khi một bài kiểm tra thứ hai sau lớp sẽ đảm bảo khả năng ghi nhớ lâu dài. Chương trình học này được thiết kế linh hoạt và thú vị, có thể học toàn bộ hoặc từng phần. Các dự án bắt đầu từ những điều cơ bản và trở nên phức tạp hơn vào cuối chu kỳ 12 tuần.  
 
-## Mỗi bài học bao gồm:
+Mỗi dự án dựa trên phần cứng thực tế có sẵn cho học sinh và người đam mê. Mỗi dự án đi sâu vào lĩnh vực cụ thể của dự án, cung cấp kiến thức nền tảng liên quan. Để trở thành một nhà phát triển thành công, việc hiểu lĩnh vực mà bạn đang giải quyết vấn đề là rất quan trọng. Việc cung cấp kiến thức nền tảng này giúp học sinh suy nghĩ về các giải pháp IoT và những gì họ học được trong bối cảnh các vấn đề thực tế mà họ có thể được yêu cầu giải quyết với tư cách là một nhà phát triển IoT. Học sinh học được "lý do" của các giải pháp mà họ đang xây dựng và có được sự đánh giá cao về người dùng cuối.  
 
-- sketchnote
-- video bổ sung tùy chọn
-- bài kiểm tra khởi động trước bài học
-- bài học viết
-- đối với các bài học dựa trên dự án, hướng dẫn từng bước về cách xây dựng dự án
-- kiểm tra kiến thức
-- một thử thách
-- tài liệu đọc bổ sung
-- bài tập
-- [bài kiểm tra sau bài học](https://ff-quizzes.netlify.app/en/)
+## Phần cứng  
 
-> **Lưu ý về bài kiểm tra**: Tất cả các bài kiểm tra được chứa trong thư mục quiz-app, tổng cộng có 48 bài kiểm tra, mỗi bài gồm ba câu hỏi. Chúng được liên kết từ trong các bài học nhưng ứng dụng bài kiểm tra có thể chạy cục bộ hoặc triển khai lên Azure; làm theo hướng dẫn trong thư mục `quiz-app`. Các bài kiểm tra đang dần được bản địa hóa.
+Chúng tôi có hai lựa chọn phần cứng IoT để sử dụng cho các dự án tùy thuộc vào sở thích cá nhân, kiến thức hoặc sở thích về ngôn ngữ lập trình, mục tiêu học tập và tính sẵn có. Chúng tôi cũng đã cung cấp một phiên bản 'phần cứng ảo' cho những người không có quyền truy cập vào phần cứng hoặc muốn học thêm trước khi quyết định mua. Bạn có thể đọc thêm và tìm danh sách mua sắm trên [trang phần cứng](./hardware.md), bao gồm các liên kết để mua bộ dụng cụ hoàn chỉnh từ bạn bè của chúng tôi tại Seeed Studio.  
+
+> 💁 Tìm [Quy tắc ứng xử](CODE_OF_CONDUCT.md), [Hướng dẫn đóng góp](CONTRIBUTING.md), và [Hướng dẫn dịch thuật](TRANSLATIONS.md) của chúng tôi. Chúng tôi hoan nghênh phản hồi mang tính xây dựng của bạn!  
+
+## Mỗi bài học bao gồm:  
+
+- sketchnote  
+- video bổ sung tùy chọn  
+- bài kiểm tra khởi động trước bài học  
+- bài học viết  
+- đối với các bài học dựa trên dự án, hướng dẫn từng bước về cách xây dựng dự án  
+- kiểm tra kiến thức  
+- một thử thách  
+- tài liệu đọc bổ sung  
+- bài tập  
+- [bài kiểm tra sau bài học](https://ff-quizzes.netlify.app/en/)  
+> **Lưu ý về các bài kiểm tra**: Tất cả các bài kiểm tra nằm trong thư mục quiz-app, với tổng cộng 48 bài kiểm tra, mỗi bài gồm ba câu hỏi. Chúng được liên kết từ trong các bài học, nhưng ứng dụng kiểm tra có thể chạy cục bộ hoặc triển khai lên Azure; làm theo hướng dẫn trong thư mục `quiz-app`. Chúng đang dần được bản địa hóa.
 
 ## Các bài học
 
-|       |              Tên dự án              |                       Các khái niệm được dạy                       | Mục tiêu học tập                                                                                                                                                 |                                                        Liên kết bài học                                                         |
-| :---: | :----------------------------------: | :---------------------------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------: |
+|       |              Tên Dự Án              |                       Các Khái Niệm Được Dạy                       | Mục Tiêu Học Tập                                                                                                                                                 |                                                        Bài Học Liên Kết                                                         |
+| :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
 |  01   | [Bắt đầu](./1-getting-started/README.md) |                     Giới thiệu về IoT                     | Tìm hiểu các nguyên tắc cơ bản của IoT và các thành phần cơ bản của giải pháp IoT như cảm biến và dịch vụ đám mây trong khi bạn thiết lập thiết bị IoT đầu tiên của mình |                      [Giới thiệu về IoT](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
 |  02   | [Bắt đầu](./1-getting-started/README.md) |                   Tìm hiểu sâu hơn về IoT                    | Tìm hiểu thêm về các thành phần của hệ thống IoT, cũng như vi điều khiển và máy tính bảng đơn                                                            |                        [Tìm hiểu sâu hơn về IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [Bắt đầu](./1-getting-started/README.md) | Tương tác với thế giới vật lý bằng cảm biến và bộ truyền động | Tìm hiểu về cảm biến để thu thập dữ liệu từ thế giới vật lý và bộ truyền động để gửi phản hồi, trong khi bạn xây dựng một đèn ngủ                                           | [Tương tác với thế giới vật lý bằng cảm biến và bộ truyền động](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
 |  04   | [Bắt đầu](./1-getting-started/README.md) |             Kết nối thiết bị của bạn với Internet             | Tìm hiểu cách kết nối thiết bị IoT với Internet để gửi và nhận tin nhắn bằng cách kết nối đèn ngủ của bạn với một MQTT broker                               |               [Kết nối thiết bị của bạn với Internet](./1-getting-started/lessons/4-connect-internet/README.md)                |
 |  05   |            [Nông trại](./2-farm/README.md)            |                    Dự đoán sự phát triển của cây trồng                     | Tìm hiểu cách dự đoán sự phát triển của cây trồng bằng cách sử dụng dữ liệu nhiệt độ được thu thập bởi một thiết bị IoT                                                                                  |                          [Dự đoán sự phát triển của cây trồng](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [Nông trại](./2-farm/README.md)            |                    Phát hiện độ ẩm đất                     | Tìm hiểu cách phát hiện độ ẩm đất và hiệu chỉnh cảm biến độ ẩm đất                                                                                              |                          [Phát hiện độ ẩm đất](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [Nông trại](./2-farm/README.md)            |                  Tự động tưới cây                   | Tìm hiểu cách tự động và hẹn giờ tưới cây bằng cách sử dụng relay và MQTT                                                                                                      |                      [Tự động tưới cây](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [Nông trại](./2-farm/README.md)            |               Chuyển cây của bạn lên đám mây               | Tìm hiểu về đám mây và các dịch vụ IoT được lưu trữ trên đám mây, cũng như cách kết nối cây của bạn với một trong số đó thay vì một MQTT broker công cộng                                   |               [Chuyển cây của bạn lên đám mây](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [Nông trại](./2-farm/README.md)            |         Chuyển logic ứng dụng của bạn lên đám mây         | Tìm hiểu cách bạn có thể viết logic ứng dụng trên đám mây để phản hồi các tin nhắn IoT                                                                          |         [Chuyển logic ứng dụng của bạn lên đám mây](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [Nông trại](./2-farm/README.md)            |                   Bảo vệ cây của bạn                    | Tìm hiểu về bảo mật với IoT và cách bảo vệ cây của bạn bằng khóa và chứng chỉ                                                                          |                        [Bảo vệ cây của bạn](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  07   |            [Nông trại](./2-farm/README.md)            |                  Tưới cây tự động                   | Tìm hiểu cách tự động hóa và định thời gian tưới cây bằng cách sử dụng rơ le và MQTT                                                                                                      |                      [Tưới cây tự động](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [Nông trại](./2-farm/README.md)            |               Di chuyển cây trồng của bạn lên đám mây               | Tìm hiểu về đám mây và các dịch vụ IoT được lưu trữ trên đám mây và cách kết nối cây trồng của bạn với một trong số đó thay vì một MQTT broker công cộng                                   |               [Di chuyển cây trồng của bạn lên đám mây](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [Nông trại](./2-farm/README.md)            |         Di chuyển logic ứng dụng của bạn lên đám mây         | Tìm hiểu cách bạn có thể viết logic ứng dụng trên đám mây để phản hồi các tin nhắn IoT                                                                          |         [Di chuyển logic ứng dụng của bạn lên đám mây](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [Nông trại](./2-farm/README.md)            |                   Bảo mật cây trồng của bạn                    | Tìm hiểu về bảo mật với IoT và cách giữ an toàn cho cây trồng của bạn bằng khóa và chứng chỉ                                                                          |                        [Bảo mật cây trồng của bạn](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
 |  11   |       [Vận chuyển](./3-transport/README.md)       |                      Theo dõi vị trí                      | Tìm hiểu về theo dõi vị trí GPS cho các thiết bị IoT                                                                                                                   |                           [Theo dõi vị trí](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [Vận chuyển](./3-transport/README.md)       |                     Lưu trữ dữ liệu vị trí                     | Tìm hiểu cách lưu trữ dữ liệu IoT để hiển thị hoặc phân tích sau này                                                                                                      |                         [Lưu trữ dữ liệu vị trí](./3-transport/lessons/2-store-location-data/README.md)                         |
-|  13   |       [Vận chuyển](./3-transport/README.md)       |                   Hiển thị dữ liệu vị trí                   | Tìm hiểu về việc hiển thị dữ liệu vị trí trên bản đồ và cách bản đồ biểu diễn thế giới 3D thực tế trong không gian 2 chiều                                                            |                     [Hiển thị dữ liệu vị trí](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [Vận chuyển](./3-transport/README.md)       |                          Hàng rào địa lý                          | Tìm hiểu về hàng rào địa lý và cách chúng có thể được sử dụng để cảnh báo khi các phương tiện trong chuỗi cung ứng gần đến điểm đến của chúng                                           |                                   [Hàng rào địa lý](./3-transport/lessons/4-geofences/README.md)                                   |
+|  12   |       [Vận chuyển](./3-transport/README.md)       |                     Lưu trữ dữ liệu vị trí                     | Tìm hiểu cách lưu trữ dữ liệu IoT để được trực quan hóa hoặc phân tích sau này                                                                                                      |                         [Lưu trữ dữ liệu vị trí](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  13   |       [Vận chuyển](./3-transport/README.md)       |                   Trực quan hóa dữ liệu vị trí                   | Tìm hiểu về việc trực quan hóa dữ liệu vị trí trên bản đồ và cách bản đồ đại diện cho thế giới 3D thực tế trong 2 chiều                                                            |                     [Trực quan hóa dữ liệu vị trí](./3-transport/lessons/3-visualize-location-data/README.md)                     |
+|  14   |       [Vận chuyển](./3-transport/README.md)       |                          Hàng rào địa lý                          | Tìm hiểu về hàng rào địa lý và cách chúng có thể được sử dụng để cảnh báo khi các phương tiện trong chuỗi cung ứng gần đến đích                                           |                                   [Hàng rào địa lý](./3-transport/lessons/4-geofences/README.md)                                   |
 |  15   |   [Sản xuất](./4-manufacturing/README.md)   |               Huấn luyện bộ phát hiện chất lượng trái cây                | Tìm hiểu về việc huấn luyện một bộ phân loại hình ảnh trên đám mây để phát hiện chất lượng trái cây                                                                                       |                 [Huấn luyện bộ phát hiện chất lượng trái cây](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [Sản xuất](./4-manufacturing/README.md)   |           Kiểm tra chất lượng trái cây từ thiết bị IoT            | Tìm hiểu cách sử dụng bộ phát hiện chất lượng trái cây từ một thiết bị IoT                                                                                                    |           [Kiểm tra chất lượng trái cây từ thiết bị IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  16   |   [Sản xuất](./4-manufacturing/README.md)   |           Kiểm tra chất lượng trái cây từ thiết bị IoT            | Tìm hiểu về việc sử dụng bộ phát hiện chất lượng trái cây từ một thiết bị IoT                                                                                                    |           [Kiểm tra chất lượng trái cây từ thiết bị IoT](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
 |  17   |   [Sản xuất](./4-manufacturing/README.md)   |             Chạy bộ phát hiện trái cây tại biên             | Tìm hiểu về việc chạy bộ phát hiện trái cây trên một thiết bị IoT tại biên                                                                                                |             [Chạy bộ phát hiện trái cây tại biên](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [Sản xuất](./4-manufacturing/README.md)   |        Kích hoạt phát hiện chất lượng trái cây từ cảm biến        | Tìm hiểu về việc kích hoạt phát hiện chất lượng trái cây từ một cảm biến                                                                                                        |        [Kích hoạt phát hiện chất lượng trái cây từ cảm biến](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [Bán lẻ](./5-retail/README.md)          |                   Huấn luyện bộ phát hiện hàng tồn kho                    | Tìm hiểu cách sử dụng phát hiện đối tượng để huấn luyện một bộ phát hiện hàng tồn kho để đếm hàng trong cửa hàng                                                                                |                        [Huấn luyện bộ phát hiện hàng tồn kho](./5-retail/lessons/1-train-stock-detector/README.md)                         |
 |  20   |          [Bán lẻ](./5-retail/README.md)          |               Kiểm tra hàng tồn kho từ thiết bị IoT                | Tìm hiểu cách kiểm tra hàng tồn kho từ một thiết bị IoT bằng cách sử dụng mô hình phát hiện đối tượng                                                                                         |                     [Kiểm tra hàng tồn kho từ thiết bị IoT](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [Người tiêu dùng](./6-consumer/README.md)        |             Nhận diện giọng nói với thiết bị IoT             | Tìm hiểu cách nhận diện giọng nói từ một thiết bị IoT để tạo một bộ hẹn giờ thông minh                                                                                             |                  [Nhận diện giọng nói với thiết bị IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  21   |        [Người tiêu dùng](./6-consumer/README.md)        |             Nhận diện giọng nói với thiết bị IoT             | Tìm hiểu cách nhận diện giọng nói từ một thiết bị IoT để xây dựng một bộ hẹn giờ thông minh                                                                                             |                  [Nhận diện giọng nói với thiết bị IoT](./6-consumer/lessons/1-speech-recognition/README.md)                  |
 |  22   |        [Người tiêu dùng](./6-consumer/README.md)        |                     Hiểu ngôn ngữ                     | Tìm hiểu cách hiểu các câu nói với một thiết bị IoT                                                                                                           |                        [Hiểu ngôn ngữ](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [Người tiêu dùng](./6-consumer/README.md)        |           Đặt hẹn giờ và cung cấp phản hồi bằng giọng nói           | Tìm hiểu cách đặt hẹn giờ trên một thiết bị IoT và cung cấp phản hồi bằng giọng nói về thời gian hẹn giờ được đặt và khi nó kết thúc                                                    |                 [Đặt hẹn giờ và cung cấp phản hồi bằng giọng nói](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  23   |        [Người tiêu dùng](./6-consumer/README.md)        |           Đặt hẹn giờ và cung cấp phản hồi bằng giọng nói           | Tìm hiểu cách đặt hẹn giờ trên một thiết bị IoT và cung cấp phản hồi bằng giọng nói khi hẹn giờ được đặt và khi nó kết thúc                                                    |                 [Đặt hẹn giờ và cung cấp phản hồi bằng giọng nói](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
 |  24   |        [Người tiêu dùng](./6-consumer/README.md)        |                 Hỗ trợ nhiều ngôn ngữ                  | Tìm hiểu cách hỗ trợ nhiều ngôn ngữ, cả khi được nói đến và các phản hồi từ bộ hẹn giờ thông minh của bạn                                                               |                   [Hỗ trợ nhiều ngôn ngữ](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## Truy cập ngoại tuyến
 
 Bạn có thể chạy tài liệu này ngoại tuyến bằng cách sử dụng [Docsify](https://docsify.js.org/#/). Fork repo này, [cài đặt Docsify](https://docsify.js.org/#/quickstart) trên máy của bạn, và sau đó trong thư mục gốc của repo này, gõ `docsify serve`. Trang web sẽ được phục vụ trên cổng 3000 trên localhost của bạn: `localhost:3000`.
 
-## Câu hỏi trắc nghiệm
+## Bài kiểm tra
 
 Cảm ơn cộng đồng đã tổ chức bài kiểm tra tương tác để kiểm tra kiến thức của bạn về từng chương. Bạn có thể kiểm tra kiến thức của mình [tại đây](https://ff-quizzes.netlify.app/en/) 
 
 ### PDF
 
-Bạn có thể tạo một file PDF của nội dung này để truy cập ngoại tuyến nếu cần. Để làm điều này, hãy đảm bảo bạn đã [cài đặt npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) và chạy các lệnh sau trong thư mục gốc của repo này:
+Bạn có thể tạo một tệp PDF của nội dung này để truy cập ngoại tuyến nếu cần. Để làm điều này, hãy đảm bảo bạn đã [cài đặt npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) và chạy các lệnh sau trong thư mục gốc của repo này:
 
 ```sh
 npm i
@@ -144,48 +150,50 @@ npm run convert
 
 Có các bộ slide cho một số bài học trong thư mục [slides](../../slides).
 
-
 ## Các chương trình học khác
 
-Đội ngũ của chúng tôi sản xuất các chương trình học khác! Hãy xem:
+Nhóm của chúng tôi sản xuất các chương trình học khác! Hãy xem:
 
 ### Azure / Edge / MCP / Agents
-[![AZD cho người mới bắt đầu](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Edge AI cho người mới bắt đầu](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![MCP cho người mới bắt đầu](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Agents cho người mới bắt đầu](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Series AI Tạo sinh
-[![AI Tạo sinh cho người mới bắt đầu](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![AI Tạo sinh (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
-[![AI Tạo sinh (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
-[![AI Tạo sinh (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
+
+### Chuỗi AI Tạo Sinh
+[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
+[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
+[![AI Tạo Sinh (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
 
 ---
- 
-### Học tập cốt lõi
-[![Học máy cho người mới bắt đầu](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Khoa học dữ liệu cho người mới bắt đầu](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Trí tuệ nhân tạo cho người mới bắt đầu](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![An ninh mạng cho người mới bắt đầu](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Phát triển web cho người mới bắt đầu](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![IoT cho người mới bắt đầu](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![Phát triển XR cho người mới bắt đầu](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+
+### Học Cốt Lõi
+[![Học Máy cho Người Mới Bắt Đầu](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![Khoa Học Dữ Liệu cho Người Mới Bắt Đầu](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI cho Người Mới Bắt Đầu](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
+[![An Ninh Mạng cho Người Mới Bắt Đầu](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
+[![Phát Triển Web cho Người Mới Bắt Đầu](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![IoT cho Người Mới Bắt Đầu](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
+[![Phát Triển XR cho Người Mới Bắt Đầu](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Chuỗi Copilot  
-[![Copilot cho lập trình cặp AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot cho C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
-[![Cuộc phiêu lưu Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
+### Chuỗi Copilot
+[![Copilot cho Lập Trình Đôi AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot cho C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
+[![Cuộc Phiêu Lưu Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+<!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## Ghi nhận hình ảnh  
+## Quyền tác giả hình ảnh
 
-Bạn có thể tìm tất cả các ghi nhận cho hình ảnh được sử dụng trong chương trình học này tại [Ghi nhận](./attributions.md).  
+Bạn có thể tìm tất cả quyền tác giả cho các hình ảnh được sử dụng trong chương trình học này tại [Quyền Tác Giả](./attributions.md).
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Tuyên bố miễn trừ trách nhiệm**:  
-Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính xác nhất. Đối với thông tin quan trọng, chúng tôi khuyến nghị sử dụng dịch vụ dịch thuật chuyên nghiệp bởi con người. Chúng tôi không chịu trách nhiệm cho bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.
\ No newline at end of file
+Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thức. Đối với thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp của con người. Chúng tôi không chịu trách nhiệm cho bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file
diff --git a/translations/zh/README.md b/translations/zh/README.md
index 7a5c3c54a..689b76aff 100644
--- a/translations/zh/README.md
+++ b/translations/zh/README.md
@@ -1,137 +1,141 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "859d11be071d66c7da196dd1857d47b4",
-  "translation_date": "2025-10-24T08:57:53+00:00",
+  "original_hash": "72ea6b6dc04ec5e98a8a34a45cbe5042",
+  "translation_date": "2025-11-18T17:17:08+00:00",
   "source_file": "README.md",
   "language_code": "zh"
 }
 -->
-[![GitHub license](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)
-[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)
-[![GitHub issues](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)
-[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub 许可证](https://img.shields.io/github/license/microsoft/IoT-For-Beginners.svg)](https://github.com/microsoft/IoT-For-Beginners/blob/master/LICENSE)  
+[![GitHub 贡献者](https://img.shields.io/github/contributors/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/graphs/contributors/)  
+[![GitHub 问题](https://img.shields.io/github/issues/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/issues/)  
+[![GitHub 拉取请求](https://img.shields.io/github/issues-pr/microsoft/IoT-For-Beginners.svg)](https://GitHub.com/microsoft/IoT-For-Beginners/pulls/)  
+[![欢迎 PR](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)  
 
-[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)
-[![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)
+[![GitHub 关注者](https://img.shields.io/github/watchers/microsoft/IoT-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/IoT-For-Beginners/watchers/)  
+[![GitHub 分叉](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/network/)  
+[![GitHub 星标](https://img.shields.io/github/stars/microsoft/IoT-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/IoT-For-Beginners/stargazers/)  
 
 ### 加入 Azure AI Foundry 社区
-[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
 
-按照以下步骤开始使用这些资源：
-1. **Fork 仓库**：点击 [![GitHub forks](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)
-2. **克隆仓库**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`
-3. [**加入 Azure AI Foundry Discord，与专家和开发者交流**](https://discord.com/invite/ByRwuEEgH4)
+如果你在构建 AI 应用时遇到困难或有任何问题，可以加入其他学习者和经验丰富的开发者，一起讨论 MCP。这是一个支持性的社区，欢迎提问并自由分享知识。
+
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+
+如果你有产品反馈或在构建过程中遇到错误，请访问：
+
+[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
+按照以下步骤开始使用这些资源：  
+1. **分叉仓库**：点击 [![GitHub 分叉](https://img.shields.io/github/forks/microsoft/IoT-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/IoT-For-Beginners/fork)  
+2. **克隆仓库**：`git clone https://github.com/microsoft/IoT-For-Beginners.git`  
+3. [**加入 Microsoft Foundry Discord，与专家和其他开发者交流**](https://discord.com/invite/ByRwuEEgH4)  
 
 ### 🌐 多语言支持
 
 #### 通过 GitHub Action 支持（自动化且始终保持最新）
 
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[阿拉伯语](../ar/README.md) | [孟加拉语](../bn/README.md) | [保加利亚语](../bg/README.md) | [缅甸语](../my/README.md) | [中文（简体）](./README.md) | [中文（繁体，香港）](../hk/README.md) | [中文（繁体，澳门）](../mo/README.md) | [中文（繁体，台湾）](../tw/README.md) | [克罗地亚语](../hr/README.md) | [捷克语](../cs/README.md) | [丹麦语](../da/README.md) | [荷兰语](../nl/README.md) | [爱沙尼亚语](../et/README.md) | [芬兰语](../fi/README.md) | [法语](../fr/README.md) | [德语](../de/README.md) | [希腊语](../el/README.md) | [希伯来语](../he/README.md) | [印地语](../hi/README.md) | [匈牙利语](../hu/README.md) | [印尼语](../id/README.md) | [意大利语](../it/README.md) | [日语](../ja/README.md) | [韩语](../ko/README.md) | [立陶宛语](../lt/README.md) | [马来语](../ms/README.md) | [马拉地语](../mr/README.md) | [尼泊尔语](../ne/README.md) | [挪威语](../no/README.md) | [波斯语](../fa/README.md) | [波兰语](../pl/README.md) | [葡萄牙语（巴西）](../br/README.md) | [葡萄牙语（葡萄牙）](../pt/README.md) | [旁遮普语](../pa/README.md) | [罗马尼亚语](../ro/README.md) | [俄语](../ru/README.md) | [塞尔维亚语（西里尔字母）](../sr/README.md) | [斯洛伐克语](../sk/README.md) | [斯洛文尼亚语](../sl/README.md) | [西班牙语](../es/README.md) | [斯瓦希里语](../sw/README.md) | [瑞典语](../sv/README.md) | [他加禄语](../tl/README.md) | [泰米尔语](../ta/README.md) | [泰语](../th/README.md) | [土耳其语](../tr/README.md) | [乌克兰语](../uk/README.md) | [乌尔都语](../ur/README.md) | [越南语](../vi/README.md)
-<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
+[阿拉伯语](../ar/README.md) | [孟加拉语](../bn/README.md) | [保加利亚语](../bg/README.md) | [缅甸语](../my/README.md) | [中文（简体）](./README.md) | [中文（繁体，香港）](../hk/README.md) | [中文（繁体，澳门）](../mo/README.md) | [中文（繁体，台湾）](../tw/README.md) | [克罗地亚语](../hr/README.md) | [捷克语](../cs/README.md) | [丹麦语](../da/README.md) | [荷兰语](../nl/README.md) | [爱沙尼亚语](../et/README.md) | [芬兰语](../fi/README.md) | [法语](../fr/README.md) | [德语](../de/README.md) | [希腊语](../el/README.md) | [希伯来语](../he/README.md) | [印地语](../hi/README.md) | [匈牙利语](../hu/README.md) | [印尼语](../id/README.md) | [意大利语](../it/README.md) | [日语](../ja/README.md) | [韩语](../ko/README.md) | [立陶宛语](../lt/README.md) | [马来语](../ms/README.md) | [马拉地语](../mr/README.md) | [尼泊尔语](../ne/README.md) | [尼日利亚皮钦语](../pcm/README.md) | [挪威语](../no/README.md) | [波斯语（法尔西语）](../fa/README.md) | [波兰语](../pl/README.md) | [葡萄牙语（巴西）](../br/README.md) | [葡萄牙语（葡萄牙）](../pt/README.md) | [旁遮普语（古木基文）](../pa/README.md) | [罗马尼亚语](../ro/README.md) | [俄语](../ru/README.md) | [塞尔维亚语（西里尔文）](../sr/README.md) | [斯洛伐克语](../sk/README.md) | [斯洛文尼亚语](../sl/README.md) | [西班牙语](../es/README.md) | [斯瓦希里语](../sw/README.md) | [瑞典语](../sv/README.md) | [他加禄语（菲律宾语）](../tl/README.md) | [泰米尔语](../ta/README.md) | [泰语](../th/README.md) | [土耳其语](../tr/README.md) | [乌克兰语](../uk/README.md) | [乌尔都语](../ur/README.md) | [越南语](../vi/README.md)
 
-# IoT 初学者课程
+# IoT 初学者 - 一套课程
 
-微软 Azure 云倡导团队很高兴为大家提供一个为期12周、共24节课的课程，内容涵盖 IoT 基础知识。每节课都包括课前和课后测验、完成课程的书面指导、解决方案、作业等。我们的项目式教学法让您在实践中学习，这是一种能够让新技能牢固掌握的有效方法。
+微软的 Azure Cloud Advocates 很高兴为大家提供一套为期 12 周、共 24 节课的课程，涵盖 IoT 基础知识。每节课包括课前和课后测验、完成课程的书面指导、解决方案、作业等。我们的项目式教学法让你在实践中学习，这是一种被证明能让新技能“记住”的有效方法。
 
 这些项目涵盖了从农场到餐桌的食物旅程，包括农业、物流、制造、零售和消费者——这些都是 IoT 设备的热门行业领域。
 
-![课程路线图，展示了24节课，涵盖介绍、农业、运输、加工、零售和烹饪](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.zh.jpg)
+![课程路线图，展示了 24 节课，涵盖介绍、农业、运输、加工、零售和烹饪](../../translated_images/Roadmap.bb1dec285dda0eda691788b95ddfc96d31d76bb7649e3f04a135e4ad395f323e.zh.jpg)
 
-> 由 [Nitya Narasimhan](https://github.com/nitya) 绘制的手绘笔记。点击图片查看大图。
+> 由 [Nitya Narasimhan](https://github.com/nitya) 绘制的草图笔记。点击图片查看大图。
 
-**特别感谢我们的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett) 和我们的手绘笔记艺术家 [Nitya Narasimhan](https://github.com/nitya)。**
+**特别感谢我们的作者 [Jen Fox](https://github.com/jenfoxbot)、[Jen Looper](https://github.com/jlooper)、[Jim Bennett](https://github.com/jimbobbennett) 和我们的草图笔记艺术家 [Nitya Narasimhan](https://github.com/nitya)。**
 
-**同时感谢我们的 [Microsoft Learn 学生大使团队](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他们对课程进行了审查和翻译——[Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform) 和 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
+**同时感谢我们的 [Microsoft Learn 学生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn)，他们审阅并翻译了这套课程——[Aditya Garg](https://github.com/AdityaGarg00)、[Anurag Sharma](https://github.com/Anurag-0-1-A)、[Arpita Das](https://github.com/Arpiiitaaa)、[Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/)、[Bhavesh Suneja](https://github.com/EliteWarrior315)、[Faith Hunja](https://faithhunja.github.io/)、[Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/)、[Manvi Jha](https://github.com/Severus-Matthew)、[Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/)、[Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119)、[Mohammad Zulfikar](https://github.com/mohzulfikar)、[Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba)、[Thanmai Gowducheruvu](https://github.com/innovation-platform) 和 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/)。**
 
-认识团队！
+认识我们的团队！
 
 [![宣传视频](../../images/IOT.gif)](https://youtu.be/-wippUJRi5k)
 
 **Gif 制作：** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal)
 
-> 🎥 点击上方图片观看项目视频！
+> 🎥 点击上方图片观看项目相关视频！
 
-> **教师们**，我们提供了[一些建议](for-teachers.md)来帮助您使用这套课程。如果您想创建自己的课程，我们还提供了[课程模板](lesson-template/README.md)。
+> **教师们**，我们提供了[一些建议](for-teachers.md)，帮助你使用这套课程。如果你想创建自己的课程，我们还提供了[课程模板](lesson-template/README.md)。
 
-> **[学生们](https://aka.ms/student-page)**，如果您想独立使用这套课程，请 fork 整个仓库并自行完成练习，从课前测验开始，然后阅读课程内容并完成其他活动。尝试通过理解课程内容来创建项目，而不是直接复制解决方案代码；不过这些代码可以在每个项目课程的 /solutions 文件夹中找到。另一个建议是与朋友组成学习小组，一起学习内容。想要进一步学习，我们推荐 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
+> **[学生们](https://aka.ms/student-page)**，如果你想自己使用这套课程，可以分叉整个仓库并自行完成练习，从课前测验开始，然后阅读课程内容并完成其他活动。尽量通过理解课程内容来完成项目，而不是直接复制解决方案代码；不过这些代码可以在每个项目课程的 /solutions 文件夹中找到。另一个建议是与朋友组成学习小组，一起学习内容。想要进一步学习，我们推荐 [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
 
-观看课程视频概览，请查看以下视频：
+想了解本课程的概述，请观看以下视频：
 
 [![宣传视频](https://img.youtube.com/vi/bccEMm8gRuc/0.jpg)](https://youtube.com/watch?v=bccEMm8gRuc "宣传视频")
 
-> 🎥 点击上方图片观看项目视频！
+> 🎥 点击上方图片观看项目相关视频！
 
 ## 教学法
 
-在设计这套课程时，我们选择了两个教学原则：确保课程以项目为基础，并包含频繁的测验。通过完成本系列课程，学生将构建一个植物监测和浇水系统、车辆追踪器、智能工厂设置以追踪和检查食品，以及一个语音控制的烹饪计时器，并学习 IoT 的基础知识，包括如何编写设备代码、连接云端、分析遥测数据以及在边缘运行 AI。
+在设计这套课程时，我们选择了两个教学原则：确保课程是基于项目的，并且包含频繁的测验。在本系列课程结束时，学生将完成一个植物监测和浇水系统、一个车辆追踪器、一个智能工厂设置（用于追踪和检查食品）以及一个语音控制的烹饪计时器，并学习 IoT 的基础知识，包括如何编写设备代码、连接云端、分析遥测数据以及在边缘运行 AI。
 
-通过确保内容与项目相结合，学习过程变得更加有趣，学生对概念的记忆也会得到增强。
+通过确保内容与项目相关联，学习过程对学生来说更加有趣，同时也能增强概念的记忆。
 
-此外，课前的低压力测验可以让学生专注于学习某个主题，而课后的测验则进一步巩固记忆。这套课程设计灵活有趣，可以完整学习，也可以部分学习。项目从简单开始，到12周课程结束时逐渐变得复杂。
+此外，课前的低风险测验可以让学生专注于学习某个主题，而课后的测验则能进一步巩固记忆。这套课程设计灵活有趣，可以完整学习，也可以部分学习。项目从简单开始，到 12 周课程结束时逐渐变得复杂。
 
-每个项目都基于学生和爱好者可以获得的真实硬件。每个项目都深入探讨特定的项目领域，提供相关的背景知识。要成为一名成功的开发者，了解您解决问题的领域是非常重要的。提供这些背景知识可以让学生在解决 IoT 问题时，能够将所学内容与现实世界中的问题联系起来。学生不仅学习解决方案的“为什么”，还能够理解最终用户的需求。
+每个项目都基于学生和爱好者可以获得的真实硬件。每个项目都会探讨特定的项目领域，提供相关的背景知识。要成为一名成功的开发者，了解你正在解决问题的领域是很有帮助的。提供这些背景知识可以让学生在构建 IoT 解决方案时，能够从现实世界的问题中获得启发。学生不仅学习如何构建解决方案，还能理解其背后的原因，并对最终用户有更深的理解。
 
 ## 硬件
 
-我们为项目提供了两种 IoT 硬件选择，具体取决于个人偏好、编程语言知识或偏好、学习目标和可用性。对于没有硬件或希望在购买前学习更多内容的人，我们还提供了“虚拟硬件”版本。您可以在[硬件页面](./hardware.md)上阅读更多内容，并找到“购物清单”，包括来自我们合作伙伴 Seeed Studio 的完整套件购买链接。
+我们为项目提供了两种 IoT 硬件选择，具体取决于个人偏好、编程语言知识或偏好、学习目标和硬件的可用性。对于没有硬件或想在购买前多了解的用户，我们还提供了“虚拟硬件”版本。你可以在[硬件页面](./hardware.md)上了解更多信息，并找到“购物清单”，其中包括来自 Seeed Studio 的完整套件购买链接。
 
-> 💁 查看我们的 [行为准则](CODE_OF_CONDUCT.md)、[贡献指南](CONTRIBUTING.md) 和 [翻译指南](TRANSLATIONS.md)。我们欢迎您的建设性反馈！
+> 💁 查看我们的 [行为准则](CODE_OF_CONDUCT.md)、[贡献指南](CONTRIBUTING.md) 和 [翻译指南](TRANSLATIONS.md)。我们欢迎你的建设性反馈！
 
 ## 每节课包括：
 
-- 手绘笔记
-- 可选的补充视频
-- 课前热身测验
-- 书面课程内容
-- 对于基于项目的课程，提供逐步指导以完成项目
-- 知识点检查
-- 挑战任务
-- 补充阅读材料
-- 作业
-- [课后测验](https://ff-quizzes.netlify.app/en/)
-
-> **关于测验的说明**：所有测验都包含在 quiz-app 文件夹中，共48个测验，每个测验有三个问题。测验链接嵌入在课程中，但测验应用可以在本地运行或部署到 Azure；请按照 `quiz-app` 文件夹中的说明操作。测验正在逐步进行本地化。
+- 草图笔记  
+- 可选的补充视频  
+- 课前热身测验  
+- 书面课程内容  
+- 对于基于项目的课程，提供逐步构建项目的指南  
+- 知识检查  
+- 挑战  
+- 补充阅读材料  
+- 作业  
+- [课后测验](https://ff-quizzes.netlify.app/en/)  
+> **关于测验的说明**：所有测验都包含在 quiz-app 文件夹中，共有 48 个测验，每个测验包含三个问题。这些测验可以从课程中链接，也可以在本地运行或部署到 Azure；请按照 `quiz-app` 文件夹中的说明操作。这些测验正在逐步进行本地化。
 
 ## 课程
 
-|       |              项目名称              |                       教授的概念                       | 学习目标                                                                                                                                                 |                                                        课程链接                                                         |
+|       |              项目名称              |                       教授的概念                       | 学习目标                                                                                                                                                 |                                                        相关课程链接                                                         |
 | :---: | :------------------------------------: | :---------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------: |
-|  01   | [入门](./1-getting-started/README.md) |                     物联网简介                     | 学习物联网的基本原理以及物联网解决方案的基本构建模块，例如传感器和云服务，同时设置您的第一个物联网设备 |                      [物联网简介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
-|  02   | [入门](./1-getting-started/README.md) |                   深入了解物联网                    | 进一步了解物联网系统的组件，以及微控制器和单板计算机                                                            |                        [深入了解物联网](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
+|  01   | [入门](./1-getting-started/README.md) |                     IoT 简介                     | 学习 IoT 的基本原理以及 IoT 解决方案的基本构建模块，例如传感器和云服务，同时设置您的第一个 IoT 设备 |                      [IoT 简介](./1-getting-started/lessons/1-introduction-to-iot/README.md)                      |
+|  02   | [入门](./1-getting-started/README.md) |                   深入了解 IoT                    | 进一步了解 IoT 系统的组件，以及微控制器和单板计算机                                                            |                        [深入了解 IoT](./1-getting-started/lessons/2-deeper-dive/README.md)                         |
 |  03   | [入门](./1-getting-started/README.md) | 使用传感器和执行器与物理世界交互 | 学习如何使用传感器从物理世界收集数据，以及使用执行器发送反馈，同时构建一个夜灯                                           | [使用传感器和执行器与物理世界交互](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-|  04   | [入门](./1-getting-started/README.md) |             将设备连接到互联网             | 学习如何将物联网设备连接到互联网以发送和接收消息，通过将夜灯连接到MQTT代理                               |               [将设备连接到互联网](./1-getting-started/lessons/4-connect-internet/README.md)                |
-|  05   |            [农场](./2-farm/README.md)            |                    预测植物生长                     | 学习如何使用物联网设备捕获的温度数据预测植物生长                                                                                  |                          [预测植物生长](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
+|  04   | [入门](./1-getting-started/README.md) |             将设备连接到互联网             | 学习如何将 IoT 设备连接到互联网以发送和接收消息，通过将夜灯连接到 MQTT 代理来实现                               |               [将设备连接到互联网](./1-getting-started/lessons/4-connect-internet/README.md)                |
+|  05   |            [农场](./2-farm/README.md)            |                    预测植物生长                     | 学习如何使用 IoT 设备捕获的温度数据预测植物生长                                                                                  |                          [预测植物生长](./2-farm/lessons/1-predict-plant-growth/README.md)                           |
 |  06   |            [农场](./2-farm/README.md)            |                    检测土壤湿度                     | 学习如何检测土壤湿度并校准土壤湿度传感器                                                                                              |                          [检测土壤湿度](./2-farm/lessons/2-detect-soil-moisture/README.md)                           |
-|  07   |            [农场](./2-farm/README.md)            |                  自动植物浇水                   | 学习如何使用继电器和MQTT实现自动化和定时浇水                                                                                                      |                      [自动植物浇水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
-|  08   |            [农场](./2-farm/README.md)            |               将植物迁移到云端               | 学习云和云托管的物联网服务，以及如何将您的植物连接到这些服务，而不是公共MQTT代理                                   |               [将植物迁移到云端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
-|  09   |            [农场](./2-farm/README.md)            |         将应用逻辑迁移到云端         | 学习如何在云端编写响应物联网消息的应用逻辑                                                                          |         [将应用逻辑迁移到云端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
-|  10   |            [农场](./2-farm/README.md)            |                   保护您的植物安全                    | 学习物联网安全知识，并了解如何使用密钥和证书保护您的植物                                                                          |                        [保护您的植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
-|  11   |       [运输](./3-transport/README.md)       |                      位置追踪                      | 学习物联网设备的GPS位置追踪                                                                                                                   |                           [位置追踪](./3-transport/lessons/1-location-tracking/README.md)                           |
-|  12   |       [运输](./3-transport/README.md)       |                     存储位置数据                     | 学习如何存储物联网数据以便后续可视化或分析                                                                                                      |                         [存储位置数据](./3-transport/lessons/2-store-location-data/README.md)                         |
+|  07   |            [农场](./2-farm/README.md)            |                  自动植物浇水                   | 学习如何使用继电器和 MQTT 实现自动化和定时浇水                                                                                                      |                      [自动植物浇水](./2-farm/lessons/3-automated-plant-watering/README.md)                       |
+|  08   |            [农场](./2-farm/README.md)            |               将植物迁移到云端               | 学习云和云托管的 IoT 服务，以及如何将植物连接到这些服务，而不是公共 MQTT 代理                                   |               [将植物迁移到云端](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md)                |
+|  09   |            [农场](./2-farm/README.md)            |         将应用逻辑迁移到云端         | 学习如何在云端编写响应 IoT 消息的应用逻辑                                                                          |         [将应用逻辑迁移到云端](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md)         |
+|  10   |            [农场](./2-farm/README.md)            |                   保护植物安全                    | 学习 IoT 安全性以及如何使用密钥和证书保护植物安全                                                                          |                        [保护植物安全](./2-farm/lessons/6-keep-your-plant-secure/README.md)                         |
+|  11   |       [运输](./3-transport/README.md)       |                      位置追踪                      | 学习 IoT 设备的 GPS 位置追踪                                                                                                                   |                           [位置追踪](./3-transport/lessons/1-location-tracking/README.md)                           |
+|  12   |       [运输](./3-transport/README.md)       |                     存储位置数据                     | 学习如何存储 IoT 数据以便后续可视化或分析                                                                                                      |                         [存储位置数据](./3-transport/lessons/2-store-location-data/README.md)                         |
 |  13   |       [运输](./3-transport/README.md)       |                   可视化位置数据                   | 学习如何在地图上可视化位置数据，以及地图如何将真实的三维世界表示为二维                                                            |                     [可视化位置数据](./3-transport/lessons/3-visualize-location-data/README.md)                     |
-|  14   |       [运输](./3-transport/README.md)       |                          地理围栏                          | 学习地理围栏，以及如何利用它们在供应链中的车辆接近目的地时发出警报                                           |                                   [地理围栏](./3-transport/lessons/4-geofences/README.md)                                   |
+|  14   |       [运输](./3-transport/README.md)       |                          地理围栏                          | 学习地理围栏，以及如何在供应链中的车辆接近目的地时发出警报                                           |                                   [地理围栏](./3-transport/lessons/4-geofences/README.md)                                   |
 |  15   |   [制造业](./4-manufacturing/README.md)   |               训练水果质量检测器                | 学习如何在云端训练图像分类器以检测水果质量                                                                                       |                 [训练水果质量检测器](./4-manufacturing/lessons/1-train-fruit-detector/README.md)                 |
-|  16   |   [制造业](./4-manufacturing/README.md)   |           从物联网设备检查水果质量            | 学习如何从物联网设备使用水果质量检测器                                                                                                    |           [从物联网设备检查水果质量](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
-|  17   |   [制造业](./4-manufacturing/README.md)   |             在边缘运行水果检测器             | 学习如何在边缘的物联网设备上运行水果检测器                                                                                                |             [在边缘运行水果检测器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
+|  16   |   [制造业](./4-manufacturing/README.md)   |           从 IoT 设备检查水果质量            | 学习如何从 IoT 设备使用水果质量检测器                                                                                                    |           [从 IoT 设备检查水果质量](./4-manufacturing/lessons/2-check-fruit-from-device/README.md)            |
+|  17   |   [制造业](./4-manufacturing/README.md)   |             在边缘运行水果检测器             | 学习如何在边缘的 IoT 设备上运行水果检测器                                                                                                |             [在边缘运行水果检测器](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md)             |
 |  18   |   [制造业](./4-manufacturing/README.md)   |        从传感器触发水果质量检测        | 学习如何从传感器触发水果质量检测                                                                                                        |        [从传感器触发水果质量检测](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md)         |
 |  19   |          [零售](./5-retail/README.md)          |                   训练库存检测器                    | 学习如何使用对象检测训练库存检测器以统计商店库存                                                                                |                        [训练库存检测器](./5-retail/lessons/1-train-stock-detector/README.md)                         |
-|  20   |          [零售](./5-retail/README.md)          |               从物联网设备检查库存                | 学习如何使用对象检测模型从物联网设备检查库存                                                                                         |                     [从物联网设备检查库存](./5-retail/lessons/2-check-stock-device/README.md)                      |
-|  21   |        [消费者](./6-consumer/README.md)        |             使用物联网设备识别语音             | 学习如何从物联网设备识别语音以构建智能计时器                                                                                             |                  [使用物联网设备识别语音](./6-consumer/lessons/1-speech-recognition/README.md)                  |
-|  22   |        [消费者](./6-consumer/README.md)        |                     理解语言                     | 学习如何理解对物联网设备说出的句子                                                                                                           |                        [理解语言](./6-consumer/lessons/2-language-understanding/README.md)                        |
-|  23   |        [消费者](./6-consumer/README.md)        |           设置计时器并提供语音反馈           | 学习如何在物联网设备上设置计时器，并在计时器设置和完成时提供语音反馈                                                    |                 [设置计时器并提供语音反馈](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
-|  24   |        [消费者](./6-consumer/README.md)        |                 支持多语言                  | 学习如何支持多语言，包括用户的语音输入和智能计时器的响应                                                               |                   [支持多语言](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
+|  20   |          [零售](./5-retail/README.md)          |               从 IoT 设备检查库存                | 学习如何使用对象检测模型从 IoT 设备检查库存                                                                                         |                     [从 IoT 设备检查库存](./5-retail/lessons/2-check-stock-device/README.md)                      |
+|  21   |        [消费品](./6-consumer/README.md)        |             使用 IoT 设备识别语音             | 学习如何从 IoT 设备识别语音以构建智能计时器                                                                                             |                  [使用 IoT 设备识别语音](./6-consumer/lessons/1-speech-recognition/README.md)                  |
+|  22   |        [消费品](./6-consumer/README.md)        |                     理解语言                     | 学习如何理解对 IoT 设备说出的句子                                                                                                           |                        [理解语言](./6-consumer/lessons/2-language-understanding/README.md)                        |
+|  23   |        [消费品](./6-consumer/README.md)        |           设置计时器并提供语音反馈           | 学习如何在 IoT 设备上设置计时器，并在计时器设置和完成时提供语音反馈                                                    |                 [设置计时器并提供语音反馈](./6-consumer/lessons/3-spoken-feedback/README.md)                  |
+|  24   |        [消费品](./6-consumer/README.md)        |                 支持多语言                  | 学习如何支持多语言，包括对智能计时器的输入和响应                                                               |                   [支持多语言](./6-consumer/lessons/4-multiple-language-support/README.md)                   |
 
 ## 离线访问
 
-您可以使用 [Docsify](https://docsify.js.org/#/) 离线运行此文档。Fork 此仓库，在本地机器上[安装 Docsify](https://docsify.js.org/#/quickstart)，然后在此仓库的根文件夹中输入 `docsify serve`。网站将在您的本地主机的 3000 端口上运行：`localhost:3000`。
+您可以使用 [Docsify](https://docsify.js.org/#/) 离线运行此文档。Fork 此仓库，在本地机器上[安装 Docsify](https://docsify.js.org/#/quickstart)，然后在此仓库的根文件夹中输入 `docsify serve`。网站将在本地的 3000 端口上运行：`localhost:3000`。
 
 ## 测验
 
-感谢社区提供的互动测验，测试您对每一章的知识。您可以在[这里](https://ff-quizzes.netlify.app/en/)测试您的知识。
+感谢社区提供互动测验，测试您对每章内容的掌握情况。您可以在[这里](https://ff-quizzes.netlify.app/en/)测试您的知识。
 
 ### PDF
 
@@ -144,7 +148,7 @@ npm run convert
 
 ### 幻灯片
 
-部分课程的幻灯片位于 [slides](../../slides) 文件夹中。
+部分课程的幻灯片文件位于 [slides](../../slides) 文件夹中。
 
 ## 其他课程
 
@@ -167,27 +171,29 @@ npm run convert
 ---
 
 ### 核心学习
-[![机器学习入门](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
-[![数据科学入门](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
-[![人工智能入门](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
-[![网络安全入门](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
-[![Web开发入门](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
-[![物联网入门](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
-[![XR开发入门](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初学者的机器学习](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初学者的数据科学](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初学者的人工智能](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初学者的网络安全](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)  
+[![初学者的网页开发](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初学者的物联网](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)  
+[![初学者的XR开发](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
 
 ---
 
-### Copilot 系列  
-[![Copilot AI配对编程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
-[![Copilot C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
+### Copilot 系列
+[![Copilot 的 AI 配对编程](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)  
+[![Copilot 的 C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)  
 [![Copilot 冒险](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)  
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->
 
-## 图片归属  
+## 图片归属
 
-您可以在[归属](./attributions.md)中找到本课程中使用的图片的所有归属信息（如有需要）。  
+您可以在 [归属](./attributions.md) 中找到本课程中使用的图片的所有归属信息（如有需要）。
 
 ---
 
+<!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **免责声明**：  
-本文档使用AI翻译服务[Co-op Translator](https://github.com/Azure/co-op-translator)进行翻译。尽管我们努力确保翻译的准确性，但请注意，自动翻译可能包含错误或不准确之处。原始语言的文档应被视为权威来源。对于重要信息，建议使用专业人工翻译。我们不对因使用此翻译而产生的任何误解或误读承担责任。
\ No newline at end of file
+本文档使用AI翻译服务[Co-op Translator](https://github.com/Azure/co-op-translator)进行翻译。尽管我们努力确保准确性，但请注意，自动翻译可能包含错误或不准确之处。应以原始语言的文档作为权威来源。对于关键信息，建议使用专业人工翻译。因使用本翻译而引起的任何误解或误读，我们概不负责。
+<!-- CO-OP TRANSLATOR DISCLAIMER END -->
\ No newline at end of file