Sketchnotes (#171)

* Adding content

* Update en.json

* Update README.md

* Update TRANSLATIONS.md

* Adding lesson tempolates

* Fixing code files with each others code in

* Update README.md

* Adding lesson 16

* Adding virtual camera

* Adding Wio Terminal camera capture

* Adding wio terminal code

* Adding SBC classification to lesson 16

* Adding challenge, review and assignment

* Adding images and using new Azure icons

* Update README.md

* Update iot-reference-architecture.png

* Adding structure for JulyOT links

* Removing icons

* Sketchnotes!

* Create lesson-1.png

* Starting on lesson 18

* Updated sketch

* Adding virtual distance sensor

* Adding Wio Terminal image classification

* Update README.md

* Adding structure for project 6 and wio terminal distance sensor

* Adding some of the smart timer stuff

* Updating sketchnotes

* Adding virtual device speech to text

* Adding chapter 21

* Language tweaks

* Lesson 22 stuff

* Update en.json

* Bumping seeed libraries

* Adding functions lab to lesson 22

* Almost done with LUIS

* Update README.md

* Reverting sunlight sensor change

Fixes #88

* Structure

* Adding speech to text lab for Pi

* Adding virtual device text to speech lab

* Finishing lesson 23

* Clarifying privacy

Fixes #99

* Update README.md

* Update hardware.md

* Update README.md

* Fixing some code samples that were wrong

* Adding more on translation

* Adding more on translator

* Update README.md

* Update README.md

* Adding public access to the container

* First part of retail object detection

* More on stock lesson

* Tweaks to maps lesson

* Update README.md

* Update pi-sensor.md

* IoT Edge install stuffs

* Notes on consumer groups and not running the event monitor at the same time

* Assignment for object detector

* Memory notes for speech to text

* Migrating LUIS to an HTTP trigger

* Adding Wio Terminal speech to text

* Changing smart timer to functions from hub

* Changing a param to body to avoid URL encoding

* Update README.md

* Tweaks before IoT Show

* Adding sketchnote links

* Adding object detection labs

* Adding more on object detection

* More on stock detection

* Finishing stock counting

* Tidying stuff

* Adding wio purchase link

* Updating Seeed logo

* Update pi-proximity.md

* Fix clean up link

Fixes #145

* Moving attributions to a separate file

* First draft of edge classifier

* Adding extras

* Moving folder

* Adding lesson 11 questions

* Image improvements

* More image tweaks

* Adding lesson 12 quiz

* Quiz for lesson 13

* Adding quiz for lesson 14

* Lesson 15 and 16 quiz

* Update README.md

* Adding sketchnotes

* Adding quiz for 17

* Update en.json

* Adding lesson 18 quiz questions

* Quiz for 19 and 20

* Lesson 21 and 22 quiz

* Lesson 23 quiz

* Lesson 24 quiz

* Update README.md

* Moar sketchnotes

4-manufacturing/README.md

@@ -21,4 +21,4 @@ In these 4 lessons you'll learn how to train image-based AI models to detect fru
 
 ## Credits
 
-All the lessons were written with ♥️ by [Jim Bennett](https://GitHub.com/JimBobBennett)
+All the lessons were written with ♥️ by [Jen Fox](https://github.com/jenfoxbot) and [Jim Bennett](https://GitHub.com/JimBobBennett)

4-manufacturing/lessons/3-run-fruit-detector-edge/README.md

@@ -1,5 +1,9 @@
 # Run your fruit detector on the edge
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-17.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 This video gives an overview of running image classifiers on IoT devices, the topic that is covered in this lesson.
 
 [![Custom Vision AI on Azure IoT Edge](https://img.youtube.com/vi/_K5fqGLO8us/0.jpg)](https://www.youtube.com/watch?v=_K5fqGLO8us)

4-manufacturing/lessons/4-trigger-fruit-detector/README.md

@@ -1,5 +1,9 @@
 # Trigger fruit quality detection from a sensor
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-18.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/35)

5-retail/lessons/1-train-stock-detector/README.md

@@ -1,5 +1,9 @@
 # Train a stock detector
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-19.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 This video gives an overview of Object Detection the Azure Custom Vision service, a service that will be covered in this 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)

5-retail/lessons/2-check-stock-device/README.md

@@ -1,5 +1,9 @@
 # Check stock from an IoT device
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-20.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/39)

6-consumer/lessons/1-speech-recognition/README.md

@@ -1,5 +1,9 @@
 # Recognize speech with an IoT device
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-21.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 This video gives an overview of the Azure speech service, a topic that will be covered in this 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)

6-consumer/lessons/2-language-understanding/README.md

@@ -1,5 +1,9 @@
 # Understand language
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-22.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/43)

6-consumer/lessons/3-spoken-feedback/README.md

@@ -1,5 +1,9 @@
 # Set a timer and provide spoken feedback
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-23.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/45)

6-consumer/lessons/4-multiple-language-support/README.md

@@ -1,5 +1,9 @@
 # Support multiple languages
 
+![A sketchnote overview of this lesson](../../../sketchnotes/lesson-24.png)
+
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 This video gives an overview of the Azure speech services, covering speech to text and text to speech from earlier lessons, as well as translating speech, a topic covered in this 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)

README.md

@@ -16,6 +16,8 @@ The projects cover the journey of food from farm to table. This includes farming
 
 ![A road map for the course showing 24 lessons covering intro, farming, transport, processing, retail and cooking](sketchnotes/Roadmap.png)
 
+> Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
+
 **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).**
 
 **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), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [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), [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/).**