5 Best Self-Driving Car Courses You Must Know in 2024

Best Self-Driving Car Courses

Are you looking for the Best Self-Driving Car Courses ?… If yes, you should check these listed 5 Best Self-Driving Car Courses. A self-driving car is a vehicle that uses a combination of sensors, cameras, radar, and artificial intelligence (AI) to travel between destinations without a human operator. 

Now, without further ado, let’s get started and find the Best Self-Driving Car Courses.

Best Self-Driving Car Courses

1. Self-Driving Car Engineer– Udacity

Rating- NA

Time to Complete- 5 months (If you spend 10 hours/week)

This Udacity Self Driving Car Nanodegree Program is a good mixture of practical exercises & content to gain skills across a wide array of critical topics, including computer vision, sensor fusion, localization, motion control, and more.

There are 5 courses and 6 projects throughout this Nanodegree program. In the first project, you will learn how to create a convolutional neural network to detect and classify objects using the Waymo Open Dataset data.

Next, you will work on 3D object detection and solve a challenging multi-target tracking task by fusing camera and lidar detections.

In the fourth project, you have to recover the position of a simulated car using lidar with either ICP or NDT, two scan-matching algorithms, and aligning point cloud scans from the CARLA simulator.

The fifth project is all about Motion Planning and Decision Making for Autonomous Vehicles. In the last project, you have to design a PID controller to perform vehicle trajectory tracking.

Overall, this is an in-depth course to understand the concept of self-driving cars.

Who Should Enroll?

  • Those who have previous knowledge of Python or C++linear algebraprobability, and statistics.

Interested to Enroll?

If yes, then start learning- Self-Driving Car Engineer

2. Self-Driving Cars Specialization– Coursera

Rating- 4.7/5

Provider- University of Toronto

Time to Complete- 7 months (If you spend 5 hours/week)

This is a specialization program and gives you a deep understanding of state-of-the-art engineering practices used in the self-driving car industry. In this program, you will interact with real data sets from an autonomous vehicle.

You will do hands-on projects using the open-source simulator CARLA. After successfully completing this specialization program, you will be able to build your own self-driving software stack. This specialization program has 4 courses.

Who Should Enroll?

  • Those who have prior knowledge in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming.

Interested to Enroll?

If yes, then check out all details here- Self-Driving Cars Specialization

3. Intro to Self-Driving Cars– Udacity

Rating- 4.6/5

Time to Complete- 4 months (If you spend 10 hours/week)

This Nanodegree program has 7 courses and 8 projects. First, you will learn a mathematical framework known as Bayesian Inference and work on a Joy Ride and a 2-dimensional histogram filter in a Python project.

Next, you will learn the basics of OOP with a focus on how to use classes that others have created and work on a project where you will implement a matrix class.

In this Nanodegree, you will also learn the basics of C++, how to navigate complex data structures, and the basics of calculus for visualizing the continuous trajectories of the real world.

After that, the instructors explain Machine Learning and Computer Vision basics and you will learn how to build an image classifier from scratch.

Who Should Enroll?

  • Those who have previous experience with programming and Linear Algebra. 

Interested to Enroll?

If yes, then start learning- Intro to Self-Driving Cars

4. Self-Driving Fundamentals– Udacity FREE Course

Rating- NA

Time to Complete– 4 weeks

This is a completely FREE Course on Udacity. In this course, you will learn how Self-Driving Cars work?, Navigation maps vs. HD maps, Localization, Perception, Planning with Maps, Planning, Routing, 3D trajectory, Path Generation and Selection, etc.

You will also learn Control Pipeline, PID Control, Linear Quadratic Regulator, Model Predictive Control,  Time Horizon and Vehicle Model, Optimization for MPC, and Control Projects from SDCND.

Who Should Enroll?

  • Those who are beginners and want to learn the fundamentals of self-driving cars.

Interested to Enroll?

If yes, then start learning- Self-Driving Fundamentals

5. The Complete Self-Driving Car Course – Applied Deep Learning– Udemy

Rating- 4.6/5

Time to Complete- 18 hours 

This course begins with the Python and Numpy basics. Next, you will learn Computer Vision basics such as Grayscale Conversion, Smoothening Images, Simple Edge Detection, etc.

You will also learn the perceptron, keras, deep neural networks, MNIST image recognition, CNN, etc. In the end, you will understand how to classify road symbols, polynomial regression, and behavior cloning.

Who Should Enroll?

  • Those who are beginners.

If yes, then start learning- The Complete Self-Driving Car Course – Applied Deep Learning

And that’s all…So, these are the 5 Best Self-Driving Car Courses. Now, it’s time to wrap up.


I hope these 5 Best Self-Driving Car Courses will help you to learn self-driving car fundamentals. My aim is to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.

Tell me in the comment section, which course you like.

All the Best!

Happy Learning!

Thank YOU!

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It’s what you learn after you know it all that counts.’

John Wooden

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