Deploying TinyML
offered by Harvard University

Private University
3 Campuses
Estd. 1636

Deploying TinyML
at
Harvard University
Overview

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.

Duration	5 weeks
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Go to Website
Course Level	UG Certificate

Deploying TinyML
at
Harvard University
Highlights

Credit Audit for Free Add a Verified Certificate for $199
Topics covered:Computer Science, Deep Learning, Machine Learning, Neural Networks, Embedded Systems, Data Science

Deploying TinyML
at
Harvard University
Course details

Skills you will learn

Networking Embedded systems Data Science

What are the course deliverables?

An understanding of the hardware of a microcontroller-based device
A review of the software behind a microcontroller-based device
How to program your own TinyML device
How to write code and deploy to a microcontroller-based device
How to train a microcontroller-based device
Responsible AI Deployment

More about this course

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.
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.