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The Complete Self-Driving Car Course – Applied Deep Learning

Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python
(3,389 reviews)
19,055 students
Created by


CourseMarks Score®







Platform: Udemy
Video: 18h 7m
Language: English
Next start: On Demand

Top Deep Learning courses:

Detailed Analysis

CourseMarks Score®

9.8 / 10

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

Freshness Score

9.9 / 10
This course was last updated on 5/2021 .

Course content can become outdated quite quickly.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

9.1 / 10
We analyzed factors such as the rating (4.5/5) 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

9.8 / 10
Video Score: 10.0 / 10
The course includes 18h 7m 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 8 hours 47 minutes of 111 Deep Learning courses on Udemy.
Detail Score: 9.6 / 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: 9.9 / 10

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

This course contains:

33 articles.
7 resources.
0 exercise.
0 test.

Table of contents


Self-driving cars have rapidly become one of the most transformative technologies to emerge. Fuelled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector. 
Deep Learning jobs command some of the highest salaries in the development world. This is the first, and only course which makes practical use of Deep Learning, and applies it to building a self-driving car, one of the most disruptive technologies in the world today.
Learn & Master Deep Learning in this fun and exciting course with top instructor Rayan Slim. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a “learn by doing” style to create this amazing course.
You’ll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.
By the end of the course, you will have built a fully functional self-driving car fuelled entirely by Deep Learning. This powerful simulation will impress even the most senior developers and ensure you have hands on skills in neural networks that you can bring to any project or company.

This course will show you how to:
•Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car.
•Learn to train a Perceptron-based Neural Network to classify between binary classes.
•Learn to train Convolutional Neural Networks to identify between various traffic signs.
•Train Deep Neural Networks to fit complex datasets.
•Master Keras, a power Neural Network library written in Python.
•Build and train a fully functional self driving car to drive on its own!
No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers.
This course also comes with all the source code and friendly support in the Q&A area.

You will learn

✓ Learn to apply Computer Vision and Deep Learning techniques to build automotive-related algorithms
✓ Understand, build and train Convolutional Neural Networks with Keras
✓ Simulate a fully functional Self-Driving Car with Convolutional Neural Networks and Computer Vision
✓ Train a Deep Learning Model that can identify between 43 different Traffic Signs
✓ Learn to use essential Computer Vision techniques to identify lane lines on a road
✓ Learn to build and train powerful Neural Networks with Keras
✓ Understand Neural Networks at the most fundamental perceptron-based level


• A working computer
• No experience required!

This course is for

• Anyone with an interest in Deep Learning and Self Driving Cars
• Anyone (no matter the skill level) who wants to transition into the field of Artificial Intelligence
• Entrepreneurs with an interest in working on some of the most cutting edge technologies
• All skill levels are welcome!

How much does the The Complete Self-Driving Car Course - Applied Deep Learning course cost? Is it worth it?

The course costs $20.99. And currently there is a 83% discount on the original price of the course, which was $119.99. So you save $99 if you enroll the course now.
The average price is $15.1 of 111 Deep Learning courses on Udemy.

Does the The Complete Self-Driving Car Course - Applied Deep Learning course have a money back guarantee or refund policy?

YES, The Complete Self-Driving Car Course – Applied Deep Learning 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 The Complete Self-Driving Car Course - Applied Deep Learning course, but there is a $99 discount from the original price ($119.99). So the current price is just $20.99.

Who is the instructor? Is Rayan Slim a SCAM or a TRUSTED instructor?

Rayan Slim has created 6 courses that got 14,008 reviews which are generally positive. Rayan Slim has taught 119,423 students and received a 4.5 average review out of 14,008 reviews. Depending on the information available, Rayan Slim is a TRUSTED instructor.
Rayan is a full-stack software developer based in Ottawa, Canada.

Rayan has been appointed as an acting tech lead at Canada’s IRCC. His main role is to set up infrastructure monitoring tools to extract health metrics from cloud-native applications.

Rayan also takes leadership roles as he guides other developers towards building Spring Boot applications that implement Enterprise Integration Patterns using the Apache Camel framework. His supervision extends to showing developers how to deploy their applications on the Red Hat Openshift platform using the Kubernetes package manager Helm.

Outside of his daily work, Rayan loves to explore new technologies. He is deeply passionate about Artificial Intelligence and Data Visualization.

In Rayan’s free time, he loves to teach!


CourseMarks Score®







Platform: Udemy
Video: 18h 7m
Language: English
Next start: On Demand

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