IoT-For-Beginners/translations/en

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IoT for Beginners - A Curriculum

Azure Cloud Advocates at Microsoft are excited to present a 12-week, 24-lesson curriculum focused on the fundamentals of IoT. Each lesson includes pre- and post-lesson quizzes, step-by-step instructions, solutions, assignments, and more. This project-based approach helps you learn by doing, which is a proven method for retaining new skills.

The projects follow the journey of food from farm to table, covering farming, logistics, manufacturing, retail, and consumer use—key industries for IoT applications.

Sketchnote by Nitya Narasimhan. Click the image for a larger version.

Special thanks to our authors Jen Fox, Jen Looper, Jim Bennett, and our sketchnote artist Nitya Narasimhan.

We also appreciate the contributions of our Microsoft Learn Student Ambassadors who reviewed and translated this curriculum: Aditya Garg, Anurag Sharma, Arpita Das, Aryan Jain, Bhavesh Suneja, Faith Hunja, Lateefah Bello, Manvi Jha, Mireille Tan, Mohammad Iftekher (Iftu) Ebne Jalal, Mohammad Zulfikar, Priyanshu Srivastav, Thanmai Gowducheruvu, and Zina Kamel.

Meet the team!

Gif by Mohit Jaisal

🎥 Click the image above for a video about the project!

Teachers, we have included some suggestions on how to use this curriculum. If you would like to create your own lessons, we have also included a lesson template.

Students, 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.

For a video overview of this course, check out this video:

🎥 Click the image above for a video about the project!

Pedagogy

We designed this curriculum with two key principles: it is project-based and includes frequent quizzes. By the end of the 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. Along the way, they will learn IoT fundamentals, including writing device code, connecting to the cloud, analyzing telemetry, and running AI on the edge.

By aligning the content with projects, the learning process becomes more engaging, and students are more likely to retain the concepts.

Additionally, low-stakes quizzes before and after lessons help set learning intentions and reinforce knowledge. 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 in complexity over the 12-week cycle.

Each project uses real-world hardware accessible to students and hobbyists. The lessons also provide relevant background knowledge about the project domain, helping students understand the context of the problems they are solving. This approach ensures students learn not just the 'how' but also the 'why' behind their solutions, fostering a deeper appreciation for the end user.

Hardware

We offer two hardware options for the projects, depending on your preferences, programming knowledge, learning goals, and availability. For those without access to hardware or who want to explore before purchasing, we also provide a 'virtual hardware' option. Check out the hardware page for a shopping list, including links to complete kits from our partners at Seeed Studio.

💁 Find our Code of Conduct, Contributing, and Translation 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

A note about quizzes: All quizzes are located in the quiz-app folder, with a total of 48 quizzes, each consisting of 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 progressively.

Lessons

	Project Name	Concepts Taught	Learning Objectives	Linked Lesson
01	Getting started	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
02	Getting started	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
03	Getting started	Interact with the physical world with sensors and actuators	Learn 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
04	Getting started	Connect your device to the Internet	Understand 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
05	Farm	Predict plant growth	Learn how to use temperature data collected by an IoT device to predict plant growth	Predict plant growth
06	Farm	Detect soil moisture	Learn how to measure soil moisture and calibrate a soil moisture sensor	Detect soil moisture
07	Farm	Automated plant watering	Discover how to automate and schedule watering using a relay and MQTT	Automated plant watering
08	Farm	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
09	Farm	Migrate your application logic to the cloud	Understand how to write application logic in the cloud that reacts to IoT messages	Migrate your application logic to the cloud
10	Farm	Keep your plant secure	Learn about IoT security and how to protect your plant using keys and certificates	Keep your plant secure
11	Transport	Location tracking	Learn how GPS location tracking works for IoT devices	Location tracking
12	Transport	Store location data	Learn how to store IoT data for later visualization or analysis	Store location data
13	Transport	Visualize location data	Learn how to display location data on a map and understand how maps represent the 3D world in 2D	Visualize location data
14	Transport	Geofences	Learn about geofences and how they can be used to notify when vehicles in the supply chain are near their destination	Geofences
15	Manufacturing	Train a fruit quality detector	Learn how to train an image classifier in the cloud to assess fruit quality	Train a fruit quality detector
16	Manufacturing	Check fruit quality from an IoT device	Learn how to use your fruit quality detector with an IoT device	Check fruit quality from an IoT device
17	Manufacturing	Run your fruit detector on the edge	Learn how to deploy your fruit detector on an IoT device at the edge	Run your fruit detector on the edge
18	Manufacturing	Trigger fruit quality detection from a sensor	Learn how to initiate fruit quality detection using a sensor	Trigger fruit quality detection from a sensor
19	Retail	Train a stock detector	Learn how to use object detection to train a model that counts stock in a store	Train a stock detector
20	Retail	Check stock from an IoT device	Learn how to use an object detection model to check stock from an IoT device	Check stock from an IoT device
21	Consumer	Recognize speech with an IoT device	Learn how to use an IoT device to recognize speech and create a smart timer	Recognize speech with an IoT device
22	Consumer	Understand language	Learn how to interpret sentences spoken to an IoT device	Understand language
23	Consumer	Set a timer and provide spoken feedback	Learn how to set a timer on an IoT device and provide spoken feedback about when the timer is set and when it ends	Set a timer and provide spoken feedback
24	Consumer	Support multiple languages	Learn how to enable support for multiple languages, both for input and responses from your smart timer	Support multiple languages

Offline access

You can view this documentation offline using Docsify. Fork this repository, install Docsify on your local machine, and then in the root folder of this repository, type docsify serve. The website will be available on port 3000 at localhost:3000.

Quiz

Thanks to the community for hosting an interactive quiz to test your knowledge of each chapter. You can test your knowledge here.

PDF

You can create a PDF of this content for offline use if needed. To do this, ensure you have npm installed and run the following commands in the root folder of this repository:

npm i
npm run convert

Slides

Slide decks for some lessons are available in the slides folder.

Other Curricula

Our team has developed other curricula! Check out:

• AI Agents for Beginners
• MCP for Beginners
• Generative AI for Beginners
• Generative AI for Beginners .NET
• Generative AI with JavaScript
• Generative AI with Java
• AI for Beginners
• Data Science for Beginners
• ML for Beginners
• Cybersecurity for Beginners
• Web Dev for Beginners
• IoT for Beginners
• XR Development for Beginners
• Mastering GitHub Copilot for Agentic use
• Mastering GitHub Copilot for C#/.NET Developers
• Choose Your Own Copilot Adventure

Image attributions

Attributions for all images used in this curriculum, where required, can be found in the Attributions.

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Disclaimer:
This document has been translated using the AI translation service 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 regarded as 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.