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Foundations of TinyML
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Applications Of TinyML
Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for Tiny applications such as keyword spotting, visual wake words, and gesture recognition.
Deploying TinyML
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own Tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
MLOps for Scaling TinyML
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
Introduction to Embedded Machine Learning
This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers using the Edge Impulse Platform.
Computer Vision with Embedded Machine Learning
This course, offered by a partnership among Edge Impulse, OpenMV, Seeed Studio, and the TinyML Foundation, will give you an understanding of how deep learning with neural networks can be used to classify images and detect objects in images and videos.
Build and Teach Your Own Course
You can find lots of educational materials on TinyML below. They are all free and open-source for educational uses – we just ask that if you use the materials that you cite them!
We are also trying to track and provide links to others to all TinyML course materials that are created to make it even easier for others to launch courses so we ask that if you create a course based on these materials that you consider posting your materials publicly and sending us a link so we can add it to the table below.
Finally, if you want to be more involved with our effort to help improve access to TinyML educational materials and hardware resources worldwide please check out the TinyML4D working group!
Questions, comments, concerns, suggestions for improvement – reach out to us at edu@tinyML.org!
Full Courses
| Organization | Course Name | Date of Course | Target Audience | Language of Instruction | Language of Materials | Links |
|---|---|---|---|---|---|---|
  |
edX tinyML Specialization by Harvard University |
Launched 2020-2022 | Everyone | English | English | Course 1-3 Website Course 4 Website All Materials All Colabs Arduino Library |
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Embedded Machine Learning on Coursera by Edge Impulse |
Launched 2021-2022 | Everyone | English | English | Course 1 Course 2 All Materials |
 |
ESE3600: Tiny Machine Learning by the University of Pennsylvania |
Fall 2022 | Undergraduate and Graduate Students | English | English | Website and Materials |
 |
MIT 6.S965 TinyML and Efficient Deep Learning |
Fall 2022 | Graduate Students | English | English | Website Materials |
 |
UNIFEI IESTI01 TinyML - Machine Learning for Embedding Devices |
Jan 2021 - Present | Undergraduate Students | Portuguese | English | 2022.1 Website and Materials 2021.2 Website and Materials 2021.1 Website and Materials |
|
Harvard CS249r Tiny Machine Learning |
Sept 2020 - Present | Graduate Students | English | English | 2022 Website and Assignments 2020 Website 2020 Assignments |
Workshops
| Lead Organizers | Workshop Name | Date of Workshop | Target Audience | Language of Instruction | Language of Materials | Links |
|---|---|---|---|---|---|---|
   |
Morocco AI Summer School 2023 | July 2023 | Everyone | English | English | Website TinyML Part 1 TinyML Part 2 |
     |
EdgeMLUP 2023 Workshop on Widening Access to TinyML Network by Establishing Best Practices in Education |
July 2023 | Everyone | English | English | Website and Materials |
|
SciTinyML 2023 Scientific Use of Machine Learning on Low-Power Devices |
April 2023 | Everyone | English | English | Website and Materials |
 |
TinyML at AAU A Workshop at Addis Ababa University |
March 2023 | Everyone | English | English | Materials |
 |
Artificial Intelligence and its Integration with Everyday Life An Introduction to TinyML by Edwin Marte at UTESA |
November 2022 | Everyone | Spanish | Spanish | Materials |
 |
WALC 2022 Track 7 Applied Artificial Intelligence |
November 2022 | Everyone | English / Spanish | English | Website Materials |
|
Topics in Applied Machine Learning: A Theoretical and Hands-On Approach A Minisymposia at CNMAC 2022 |
September 2022 | Everyone | Portuguese | Portuguese | Website Hands-On Materials |
|
SciTinyML 2022 Africa, Asia, and Latam Scientific Use of Machine Learning on Low-Power Devices |
April, June, July 2022 | Everyone | English / Spanish for Latam | English / Spanish for Latam | Website and Materials |
  |
EASI-22 2022 Edge AI Summer Institute |
June 2022 | High School Students and Teachers | English | English | Website and Materials |
|
SciTinyML 2021 Scientific Use of Machine Learning on Low-Power Devices |
October 2021 | Everyone | English | English | Website Materials |
  |
CRESTLEX 3.0 CReating Effective STem Learning EXperiences |
June 2021 | Middle and High School Students and Teachers | English | English | Website and Materials |
Books
| Title | Author(s) | Date of Publication | Target Audience | Language | Links | |
|---|---|---|---|---|---|---|
 |
TinyML Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers |
Pete Warden Daniel Situnayake |
January 2020 | Everyone | English | Website |
 |
TinyML Cookbook Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter |
Gian Marco Iodice |
April 2022 | Everyone | English | Website |
For more materials (Seminars / Tutorials / Demos / etc.) check out the TinyML4D Past Events Page.
We’ve included some of our favorites below!
| Title | Author(s) | Date | Target Audience | Language of Instruction | Language of Materials | Links | |
|---|---|---|---|---|---|---|---|
|
Getting Started with the Arduino TinyML Kit | Marcelo Rovai |
March 11, 2022 | Everyone | English | English | Video Slides Handout |
|
Why the Future of ML is Tiny and Bright | Vijay Janapa Reddi |
September 17, 2021 | Everyone | English | English | Video Slides |