IoT Basics Curriculum for Beginners

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'.

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.

A road map for the course showing 24 lessons covering intro, farming, transport, processing, retail and cooking

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 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.

By ensuring that the content aligns with projects, the process is made more engaging for students and retention of concepts will be augmented.

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.

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.

Hardware

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, including links to buy complete kits from our friends at Seeed Studio.

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 contained in this app, for 48 total quizzes of three questions each. They are linked from within the lessons but the quiz app can be run locally; follow the instruction in the quiz-app folder. They are gradually being localized.

Lessons

	Project Name	Concepts Taught	Learning Objectives	Linked Lesson
01	Getting started	Introduction to IoT	Learn the basic principles of IoT and the basic building blocks of IoT solutions such as sensors and cloud services whilst you are setting up your first IoT device	Introduction to IoT
02	Getting started	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
03	Getting started	Interact with the physical world with sensors and actuators	Learn about sensors to gather data from the physical world, and actuators to send feedback, whilst you build a nightlight	Interact with the physical world with sensors and actuators
04	Getting started	Connect your device to the Internet	Learn about 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
05	Farm	Predict plant growth	Learn how to predict plant growth using temperature data captured by an IoT device	Predict plant growth
06	Farm	Detect soil moisture	Learn how to detect soil moisture and calibrate a soil moisture sensor	Detect soil moisture
07	Farm	Automated plant watering	Learn how to automate and time watering using a relay and MQTT	Automated plant watering
08	Farm	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
09	Farm	Migrate your application logic to the cloud	Learn about how you can write application logic in the cloud that responds to IoT messages	Migrate your application logic to the cloud
10	Farm	Keep your plant secure	Learn about security with IoT and how to keep your plant secure with keys and certificates	Keep your plant secure
11	Transport	Location tracking	Learn about GPS location tracking for IoT devices	Location tracking
12	Transport	Store location data	Learn how to store IoT data to be visualized or analysed later	Store location data
13	Transport	Visualize location data	Learn about visualizing location data on a map, and how maps represent the real 3d world in 2 dimensions	Visualize location data
14	Transport	Geofences	Learn about geofences, and how they can be used to alert when vehicles in the supply chain are close to their destination	Geofences
15	Manufacturing	Train a fruit quality detector	Learn about training an image classifier in the cloud to detect fruit quality	Train a fruit quality detector
16	Manufacturing	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
17	Manufacturing	Run your fruit detector on the edge	Learn about running your fruit detector on an IoT device on the edge	Run your fruit detector on the edge
18	Manufacturing	Trigger fruit quality detection from a sensor	Learn about triggering fruit quality detection from a sensor	Trigger fruit quality detection from a sensor
19	Retail	Train a stock detector	Learn how to use object detection to train a stock detector to count stock in a shop	Train a stock detector
20	Retail	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
21	Consumer	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
22	Consumer	Understand language	Learn how to understand 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 give spoken feedback on when the timer is set and when it finishes	Set a timer and provide spoken feedback
24	Consumer	Support multiple languages	Learn how to support multiple languages, both being spoken to and the responses from your smart timer	Support multiple languages

Offline access

You can run this documentation offline by using Docsify. Fork this repo, install Docsify 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.

PDF

You can generate a PDF of this content for offline access if needed. To do this, make sure you have npm installed and run the following commands in the root folder of this repo:

npm i
npm run convert