Intro to Embedded Machine Learning

Embedded Systems, Machine Learning, and Tiny ML

3.60 (239 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Intro to Embedded Machine Learning
1,839
students
1 hour
content
Oct 2021
last update
$49.99
regular price

What you will learn

Embedded Systems

Machine Learning

TinyML

Embedded Machine Learning

IoT

Why take this course?

In this course, you will learn more about the field of embedded machine learning. In recent years, technological advances in embedded systems have enabled microcontrollers to run complicated machine learning models. Embedded devices for machine learning applications can fulfill many tasks in the industry. One typical example: sensor devices that detect acoustic or optical anomalies and discrepancies and, in this way, support quality assurance in production or system condition monitoring. In addition to cameras for monitoring visual parameters and microphones for recording soundwaves, these devices also use sensors for, for instance, vibration, contact, voltage, current, speed, pressure, and temperature.

Even though there is plenty of educational content on embedded systems and machine learning individually, educational content on embedded ML has yet to catch up. This course attempts to fill that void by providing fundamentals of embedded systems, machine learning, and Tiny ML. This course will conclude with an interactive project where the learner will get to create their own specialized embedded ML project. This project will be based on acoustic event detection using a microcontroller or your own mobile device. By the end of the course, you will be able to pick your own classifications and audio and train and deploy a machine learning model yourself. This is a great way to introduce yourself to and gain valuable experience in the field of embedded machine learning.

Screenshots

Intro to Embedded Machine Learning - Screenshot_01Intro to Embedded Machine Learning - Screenshot_02Intro to Embedded Machine Learning - Screenshot_03Intro to Embedded Machine Learning - Screenshot_04

Reviews

Álvaro
August 1, 2023
The course shows you the two different involved field separately (embedded systems and ML) but they dont talk about the integration between both. I would deeply enjou a longer course where they would show the process of integrating an ML model in an embedded system. Such as building a tyny autonomous car that avoids collition. Also I would like to know more resources. Like different IDEs you can use for the purpose and commertial mocrocontrollers and boards that are available and optimized for you to get in touch with it and build some personal project.
Mark
July 8, 2023
There is some background about ML as text which is good. There is a video presentation that seems to have been lifted from Youtube https://www.youtube.com/watch?v=tRYItocNxmI and another video at the end that seems to be an advert for Springboard. But the main content is lacking in detail, one section is missing audio, and the training is glossed over a bit (maybe that was supposed to be explained in the video with no audio). The 20min project is a disjointed, high-level walk thru of audio classification done using Edge Impluse and a mobile phone. This doesn't go into the details of deploying to an embedded device. If asked, I wouldn't recommend this course in its current state.
Somnath
June 10, 2023
Very basic course - almost no fundamentals and nothing really about ML on embedded systems. Also, missing audio completely in couple of lectures. Not worth paying money for such courses.
Sruthi
April 29, 2021
Great class and short format! I've already recommended it to others. The embedded ML project will be a great addition to my experiences. Thanks!

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3886834
udemy ID
3/3/2021
course created date
4/28/2021
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