Learner Reviews & Feedback for Introduction to Embedded Machine Learning by Edge Impulse

ML on embedded systems is an exciting and growing technology and business domain. This course is a great place to start learning about it.

Excellent course with great foundational knowledge about machine learning on edge devices using your smart phone and the Arduino Nano 33 BLE Sense for hands-on, real world, applications that are enabled on the Edge Impulse machine learning platform. Shawn did an excellent job putting together the course curriculum and presented a complete and comprehensive set of knowledge, including lectures given by Alexander on machine learning and artificial intelligence, and also information and 'labs' for students to complete that made it easy to apply the concepts taught in this course. I highly recommend this course using the Arduino Nano 33 BLE Sense for real world applications if you'd like to know what's under the hood of embedded IoT devices. 👍

This is an exceptional introduction to machine learning on embedded devices.

The material covers all the bases and leaves you with a very good idea of what is involved. The use of Edge Impulse allows rapid prototyping of machine learning solutions so the course is able to walk you through two working examples, a movement gesture classifier and an audio keyword classifier, that you can deploy to either a mobile phone or an Arduino board. In addition two projects allow you to have a go for yourself.

Whilst the course doesn't delve too much into the heavy theory it does provide plenty of resources where you can look for additional information. It also includes a wealth of top tips that will help you with your ML projects.

Shawn Hymal is an excellent instructor! This course was a great introduction to TinyML. I learned a lot about working with Edge Impulse. Building and deploying embedded machine learning applications is exciting. I am looking forward to courses using advanced microcontrollers and edge impulse.

Great course for ML beginners, like me! Not covering all the complex math behind but giving you a high level introduction. Showing what is possible with ML (and what is not). I especially liked the "Hands-on" training part based on Edge Impulse.

even though I was already an edge impulse user, I learned a lot of things I didn't know thanks to this course. Special mention for Shawn as an excellent professor

Very good arrange of topics and explain complex topics as simply as possible. Recommended course for anyone who needs to start in embedded machine learning.

Thanks for the great course! The explanations are excellents, the examples and activities give me insights for use embedded ML in my projects.

A great introduction to tinyML and embedded machine learning using Edge Impulse to get started working on projects immediately.

Very good course to learn about Machine Learning as stand alone as well as ML with Embedded system.

Great intro to ML on embedded devices that also introduces basic machine learning concepts.

Too many errors while installing Edge Impulse toolchain, otherwise good quality.