Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Getting Started with Embedded AI | Edge AI

Explained a demo application to recognize fault of a small DC motor by analyzing vibrational pattern via Embedded/EdgeAI
3.9
3.9/5
(93 reviews)
667 students
Created by

8.8

CourseMarks Score®

7.9

Freshness

7.6

Feedback

9.1

Content

Platform: Udemy
Price: $14.99
Video: 3h 32m
Language: English
Next start: On Demand

Top Artificial Intelligence courses:

Detailed Analysis

CourseMarks Score®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

7.9 / 10
This course was last updated on 10/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.6 / 10
We analyzed factors such as the rating (3.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.1 / 10
Video Score: 8.1 / 10
The course includes 3h 32m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 31 minutes of 172 Artificial Intelligence courses on Udemy.
Detail Score: 9.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
6 resources.
0 exercise.
0 tests or quizzes.

Table of contents

Description

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 or model 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 vibration pattern. An Edge AI node developed to perform the analysis on the data captured from the accelerometer sensor 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.

The Motivation behind this course
                                                                 One and half years back, It was surprising when techies heard of the embedded systems running standalone Deep learning model. We thought to design an application using this concept and 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 Conceptual Learning and Practical Learning. You can either jump directly to the Practical 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.

What you will get after enrolling in the course
1. You will get Conceptual + Practical clarity on Embedded AI
2. After this course you will be able to build similar kind of applications in Embedded AI
3. You will get all the Python scripts and C code(stm32) for Data capturing ,Data Labeling and Inference.
4.You will be able to know in depth working behind the neural networks

•Note – All the concepts are interlinked to each other may not possible to cover in one video. For more conceptual clarity keep on watching videos till the end. The doubt you will get in any video may get clear in another video. We tried to explain the same concept iteratively in different ways to make you familiar with the terminology.

•If you have any question or doubt, at any point, please message us immediately. We are eagerly ready to help you out and will try to solve your doubt or problem asap.

You will learn

✓ Learn basic concept behind AI/DL
✓ Learn how to use KERAS deep learning library in python?
✓ Learn how to capture and label data from sensors via Microcontroller
✓ Learn to create a Neural network and how to train them on data
✓ Learn to implement Deep learning model on a microcontroller and can run inference on it.

Requirements

• Knowledge of C or Python Language is plus
• Knowledge of stm32 is plus

This course is for

• Embedded AI Explorer
• Embedded Enthusiast
• Engineers
• Artificial Intelligence/Deep learning Enthusiast
• M-Tech/PhD Students

How much does the Getting Started with Embedded AI | Edge AI course cost? Is it worth it?

The course costs $14.99. And currently there is a 81% discount on the original price of the course, which was $79.99. So you save $65 if you enroll the course now.
The average price is $14.7 of 172 Artificial Intelligence courses. So this course is 18% cheaper than the average Artificial Intelligence course on Udemy.

Does the Getting Started with Embedded AI | Edge AI course have a money back guarantee or refund policy?

YES, Getting Started with Embedded AI | Edge AI has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Getting Started with Embedded AI | Edge AI course, but there is a $65 discount from the original price ($79.99). So the current price is just $14.99.

Who is the instructor? Is Embedded Insider a SCAM or a TRUSTED instructor?

Embedded Insider has created 1 courses that got 93 reviews which are generally positive. Embedded Insider has taught 668 students and received a 3.9 average review out of 93 reviews. Depending on the information available, Embedded Insider is a TRUSTED instructor.
Demysifying the Secrets of Embedded
Embedded Insider was founded with the vision to explore the Embedded systems domain and to provide the quality content on the internet with practical applications.

                                                                      Our engineers are working hard to provide the new emerging technology in the field of embedded systems. They have a vast experience in Embedded systems and have worked in the countries like Japan and Germany.

8.8

CourseMarks Score®

7.9

Freshness

7.6

Feedback

9.1

Content

Platform: Udemy
Price: $14.99
Video: 3h 32m
Language: English
Next start: On Demand

Students are also interested in

Get this widget on your website (for course creators):

Getting Started with Embedded AI | Edge AI rating
Copy this code and paste it to your website:
<a href="https://coursemarks.com/course/getting-started-with-embedded-ai-edge-ai/" target="_blank" title="Getting Started with Embedded AI | Edge AI on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/88.svg" width="200px" alt="Getting Started with Embedded AI | Edge AI rating"/></a>