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IOT FOR BEGINNERS

 * IoT for Beginners - A Curriculum
    * Pedagogy
    * Hardware
    * Each lesson includes:
    * Lessons
    * Offline access
       * PDF
       * Slides
   
    * Help Wanted!
    * Other Curricula
    * Image attributions


IOT FOR BEGINNERS - A CURRICULUM

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.



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

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

Thanks as well to our team of Microsoft Learn Student Ambassadors who have been
reviewing and translating 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 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 be 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.

> 💁 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 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


SLIDES

There are slide decks for some of the lessons in the slides folder.


HELP WANTED!

Would you like to contribute a translation? Please read our translation
guidelines and add input to one of the translations issues. If you want to
translate into a new language, please raise a new issue for tracking.


OTHER CURRICULA

Our team produces other curricula! Check out:

 * Web Dev for Beginners
 * ML for Beginners
 * Data Science for Beginners
 * AI for Beginners
 * XR Development for Beginners


IMAGE ATTRIBUTIONS

You can find all the attributions for the images used in this curriculum where
required in the Attributions.