Edge Impulse
Introduction to Embedded Machine Learning
Edge Impulse

Introduction to Embedded Machine Learning

Taught in English

Some content may not be translated

42,832 already enrolled


Gain insight into a topic and learn the fundamentals

Shawn Hymel
Alexander Fred-Ojala

Instructors: Shawn Hymel


(626 reviews)

Intermediate level

Recommended experience

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • The basics of a machine learning system

  • How to deploy a machine learning model to a microcontroller

  • How to use machine learning to make decisions and predictions in an embedded system

Details to know

Shareable certificate

Add to your LinkedIn profile


14 quizzes

See how employees at top companies are mastering in-demand skills


Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review


There are 3 modules in this course

In this module, we will introduce the concept of machine learning, how it can be used to solve problems, and its limitations. We will also cover how machine learning on embedded systems, such as single board computers and microcontrollers, can be effectively used to solve problems and create new types of computer interfaces. Then, we will introduce the Edge Impulse tool and collect motion data for a "magic wand" demo. Finally, we will examine the various features that can be calculated from this raw motion data, including root mean square (RMS), Fourier transform, and power spectral density (PSD).

What's included

13 videos15 readings5 quizzes2 discussion prompts

In this module, we will look at how neural networks work, how to train them, and how to use them to perform inference in an embedded system. We will continue the previous demo of creating a motion classification system using motion data collected from a smartphone or Arduino board. Finally, we will challenge you with a new motion classification project where you will have the opportunity to implement the concepts learning in this module and the previous module.

What's included

10 videos10 readings5 quizzes1 discussion prompt

In this module, we cover audio classification on embedded systems. Specifically, we will go over the basics of extracting mel-frequency cepstral coefficients (MFCCs) as features from recorded audio, training a convolutional neural network (CNN) and deploying that neural network to a microcontroller. Additionally, we dive into some of the implementation strategies on embedded systems and talk about how machine learning compares to sensor fusion.

What's included

9 videos7 readings4 quizzes1 discussion prompt1 plugin


Instructor ratings
4.8 (249 ratings)
Shawn Hymel
Edge Impulse
2 Courses54,617 learners

Offered by

Edge Impulse

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 626


626 reviews

  • 5 stars


  • 4 stars


  • 3 stars


  • 2 stars


  • 1 star



Reviewed on Dec 18, 2022


Reviewed on Feb 27, 2021


Reviewed on Mar 3, 2021

New to Machine Learning? Start here.


Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions