Getting started with embedded ai

Nowadays, you may have heard of many keywords like Embedded AI /Embedded ML /Edge AI, the meaning behind them is the same, I.e. To make an AI algorithm run on embedded devices. Due to a massive gap between both technologies, techies don’t know where to start with it.

So we thought to share our engineer’s experience with you via this course. We have created an application to recognize the fault of a motor based on the vibrational pattern. An Edge AI node developed to perform the analysis on the data captured from the accelerometer module to recognize the fault.

             We have created detailed videos with animation to give our students an engaging experience while learning this stunning technology. We assure you will love this course after getting this hands-on experience directly on your computer screen.

The Motivation behind this course

                                                                 One and half years back, It was surprising when we heard of the embedded systems running standalone Deep learning model.

We thought to explore it and design an application using it. But there was no online content available. After a lot of research and development, Finally, we were able to understand and implement it. So, We thought to share the same with you via this platform.

How to start the Course?

                                                               There are two possible ways to start this course. We have divided this course into Fundamental concepts and Application building. You can either jump directly to the Application building videos to keep the motivation to learn and later can go to fundamental concepts. Or you can start with the basic concepts first then can start building the application.

Future of the Course

                                         Now we started to dig deeper into this technology and to think about to build some other applications based on it. We will share these ideas and projects via this course.

We will update the basic concepts and project-based videos separately.