• Length:
    5 Weeks
  • Effort:
    2–4 hours per week
  • Price:

    FREE
    Add a Verified Certificate for $199 USD

  • Institution
  • Subject:
  • Level:
    Introductory
  • Language:
    English
  • Video Transcript:
    English
  • Course Type:
    Self-paced on your time

Associated Programs:

Prerequisites

Basic Scripting in Python

About this course

Skip About this course

What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing areas of Deep Learning and is rapidly becoming more accessible. This course provides a foundation for you to understand this emerging field.

TinyML is at the intersection of embedded Machine Learning (ML) applications, algorithms, hardware, and software. TinyML differs from mainstream machine learning (e.g., server and cloud) in that it requires not only software expertise, but also embedded-hardware expertise.

The first course in the TinyML Certificate series, Fundamentals of TinyML will focus on the basics of machine learning, deep learning, and embedded devices and systems, such as smartphones and other tiny devices. Throughout the course, you will learn data science techniques for collecting data and develop an understanding of learning algorithms to train basic machine learning models. At the end of this course, you will be able to understand the “language” behind TinyML and be ready to dive into the application of TinyML in future courses.

Following Fundamentals of TinyML, the other courses in the TinyML Professional Certificate program will allow you to see the code behind widely-used Tiny ML applications — such as tiny devices and smartphones — and be able to deploy code to your own physical TinyML device.

What you'll learn

Skip What you'll learn
  • Fundamentals of Machine Learning (ML)
  • Fundamentals of Deep Learning
  • How to gather data for ML
  • How to train and deploy ML models
  • Understanding embedded ML
  • Responsible AI Design
  • Overview of the TinyML Course Series
  • Why the Future of Machine Learning is Tiny and Bright
  • The Building Blocks of Machine Learning and Deep Learning
  • Responsible Machine Learning Design

Meet your instructors

Vijay Janapa Reddi
Associate Professor
John A. Paulson School of Engineering and Applied Sciences (SEAS), Harvard University
Laurence Moroney
Lead AI Advocate
Google

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Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.