Individual Course
Deploying TinyML
Course Length
5 weeks
2-4 hours per week
Featuring faculty from:
Harvard John A. Paulson School of Engineering and Applied Sciences
Enroll by Individual
Certificate Price:
$ 299
Enroll by Individual
Certificate Price:
$ 299
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.
Have you wanted to build a TinyML device? In Deploying TinyML, you will learn the software, write the code, and deploy the model to your own tiny microcontroller-based device. Before you know it, you’ll be implementing an entire TinyML application.
A one-of-a-kind course, Deploying TinyML is a mix of computer science and electrical engineering. Gain hands-on experience with embedded systems, machine learning training, and machine learning deployment using TensorFlow Lite for Microcontrollers, to make your own microcontroller operational for implementing applications such as voice recognition, sound detection, and gesture detection.
The course features projects based on a TinyML Program Kit that includes an Arduino board with onboard sensors and an ARM Cortex-M4 microcontroller. The kit has everything you need to build applications around image recognition, audio processing, and gesture detection. Before you know it, you’ll be implementing an entire tiny machine learning application. You can preorder your Arduino kit here.
Tiny Machine Learning (TinyML) is one of the fastest-growing areas of deep learning and is rapidly becoming more accessible. The third course in the TinyML Professional Certificate program, Deploying TinyML provides hands-on experience with deploying TinyML to a physical device.
The course will be delivered via edX and connect learners around the world.
Self-Guided
edX
- Learning Outcome
Gain an understanding of the hardware and software behind a microcontroller-based device.
- Learning Outcome
Learn how to write your code for a microcontroller-based device and deploy and train the device
- Learning Outcome
Understand responsible AI Deployment.
- Learn from Harvard faculty
- Do it on your own time
- Get a certificate, add it to your resume
- Be part of the Harvard Community
Faculty
Your Instructor
Vijay Janapa Reddi
Associate Professor at John A. Paulson, School of Engineering and Applied Sciences (SEAS) at Harvard University
Vijay Janapa Reddi is an Associate Professor at Harvard University, Inference Co-chair for MLPerf, and a founding member of MLCommons, a nonprofit ML (Machine Learning) organization aiming to accelerate ML innovation.
Professional Certificate Series
Complete your journey with a Professional Certificate Series
Ways to take this course
Audit or Pursue a Verified Certificate
A Verified Certificate costs $299 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.
Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.
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