Applications of TinyML
offered by Harvard University

Private University
3 Campuses
Estd. 1636

Applications of TinyML
at
Harvard University
Overview

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.

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

Applications of 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

Applications of TinyML
at
Harvard University
Course details

Skills you will learn

Embedded systems Data Science Android

What are the course deliverables?

The code behind some of the most widely used applications of TinyML
Real-word industry applications of TinyML
Principles of Keyword Spotting and Visual Wake Words
Concept of Anomaly Detection
Principles of Dataset Engineering
Responsible AI Development

More about this course

Do you know what happens when you say “OK Google” to a Google device Is your Google Home always listening
Following on the Foundations of Tiny ML course, Applications of TinyML will give you the opportunity to see tiny machine learning applications in practice. This course features real-world case studies, guided by industry leaders, that examine deployment challenges on tiny or deeply embedded devices.
Dive into the code for using sensor data for tasks such as gesture detection and voice recognition. Focusing on the neural network of the applications, specifically on training and inference, you will review the code behind “OK Google,” “Alexa,” and smartphone features on Android and Apple . Learn about real-word industry applications of TinyML as well as Keyword Spotting, Visual Wake Words, Anomaly Detection, Dataset Engineering, and Responsible Artificial Intelligence.
Tiny Machine Learning (TinyML) is one of the fastest-growing areas of deep learning and is rapidly becoming more accessible. The second course in the TinyML Professional Certificate program, Applications of TinyML shows you the code behind some of the world’s most widely-used TinyML devices.