Autonomous Vehicles or Self Driving Car is one of the best technologies that was invented and is rapidly growing every year. Here we’ve listed only the top and best self driving car course to learn online.
Self-driving vehicles are being built and a growing field. If you have got a keen interest in building a self-driving car or you’re looking for a boost in career, then these online courses will be of great help.
Before you get started in autonomous vehicles, one should have knowledge of Python, C++, and Mathematics. Don’t worry if you’re just out of college or don’t have the skills to begin. We’ve also listed fundamental course on a self-driving car.
By taking one of these courses you will have a great chance to begin a career in autonomous vehicles or self-driving cars.
In a Hurry?
If you don’t have much time, use the below links to find the best training tutorial to learn a self-driving car course. Rest assured we only recommend the best course:
–Intro to Self-Driving Cars by Udacity is the best training for beginners to learn from scratch.
–Self-driving car specialization course from Coursera is some of the best in class to learn autonomous vehicles.
–Become a Self-Driving Car Engineer by Udacity is the detailed curriculum in self-driving and it is an editor’s choice.
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Best Self Driving Car Course
1. Self-Driving Cars Specialization – Coursera
This self-driving car specialization is developed by the University of Toronto, one of the top leading universities in the world. Before you enroll in this course you should have basic math knowledge on calculus, probability, linear algebra, dynamic and kinematic modeling. Also, it helps if you’ve some exposure to AI, Computer Vision, and Robotics.
The self-driving vehicle training course packs with a thorough syllabus and covers most of the topics on the subject. The best thing about this is you will interact with real data sets collected from an autonomous vehicle. Along with the top-class learning material you also learn from the experts who work at Zoox and Oxbotica. Students are expected to be proficient in Python 3.0 and math.
Key takeaways of the course:
- Learn everything related to design considerations and safety assessments of self-driving cars.
- You will learn from a highly realistic driving environment emphasizing environment conditions and pedestrian modeling.
- Be able to design your own software stack of self-driving cars.
- One of the most detailed and comprehensive online training available on Coursera.
- Includes several exercises and projects to work on.
This is an advanced form of self-driving cars course that can be completed in 7 months. Over 37k students have already enrolled in this course and most have changed their career path.
2. Emerging Automotive Technologies – edX
This is one of the best automotive technology to learn everything about self-driving cars a.ka. autonomous car. The course curriculum is designed and developed by the Chalmers University of Technology. The duration of the course is 1 year long and it follows the instructor-led training program. The innovation of self-driving vehicles is one of the exciting fields to work on. If you’re from a computer science background, you’ll find this course to be a bit easier.
In this MicroMasters program from edX, you’ll learn about the fundamentals of designing the vehicles, model them, and run a simulation of its dynamics. Everything is smartly implemented for intelligent perception and decision procedures. Students who graduate from this course will have learned every skill and practice from the industry’s renowned trainers.
Key takeaways of this course:
- You’ll learn to design the self-driving cars and run a simulation.
- Understand the fundamentals of the functional safety system in self-driving cars.
- Learn to simulate electric and hybrid powertrains and vehicle dynamics.
- The key thing needed for self-driving cars is decision procedures and perception.
- You will learn how conventional power trains work and its methods to measure performance and energy consumption.
This MicroMasters program from edx consists of 7 graduate-level courses that can be completed in 1 year long. This is one of the best and most detailed courses on Self-driving cars technology.
3. Intro to Self-Driving Cars – Udacity
Udacity’s Intro to Self-Driving cars training course is a fresh course for beginners. If you’re familiar with Python and C++ programming skills and knows basic algebra, then this is the best start for beginners. Students participating in this Nanodegree program will learn some of the major topics on Deep Learning and its concepts will be applied in solving self-driving car problems.
If you’ve already completed this course, consider taking the next course of Self-Driving Car Engineer, mentioned in the next section.
You’ll begin the course with some of the essential math required to complete the course. After mathematics, you’ll proceed to sharpen your programming skills needed for the course. The course also teaches you on core concepts of Machine Learning and Computer Vision. This is done so that your computer can see the image via camera and teach your computer using the Machine Learning model.
A full review of Intro to Self-Driving cars training course is published here.
Key takeaways of this course:
- Understand the basics of how self-driving cars work and the technology that operates them.
- It teaches you essential math such as linear algebra and object-oriented programming.
- Refine your algorithmic thinking skills that will be helpful thought your career.
- Learn some of the popular python visualizations libraries.
- It also provides resume and career services.
Udacity is a popular platform that provides several features along with the training materials. The course duration is 4 months long, hence it is recommended students to have at least 10 hours per week.
4. Become a Self-Driving Car Engineer – Udacity
If you aspire to become a self-driving car engineer then this is one of a kind online course offered by Udacity. It involves innovative technologies like robotics, Deep Learning, and Machine Learning. Everything goes hand-in-hand and students should have some basic knowledge on the core topics. Object detection plays a major role in computer vision and ML.
This course is created in partnership with Nvidia, Mercedes-Benz, Uber ATG, BMW, DIDI, and McLaren.
The prerequisite of this course is Intro to Self-Driving cars. You begin the course by learning to apply both computer vision and deep learning to solve automotive problems. Then you will learn sensor fusion to filter data from several sensors to detect the environment. After you go through all the training students will work with a team to program Carla. Carla is Udacity’s real car that is implemented with self-driving technology.
Key takeaways of this course:
- It teaches you everything about sensor fusion technology which is a major challenge in self-driving cars.
- By performing localization you can easily identify where your car is in the world.
- In this course, the Mercedes-Benz team will show you the three stages of planning involved in the subject.
- Introduces you to the Robot Operating System that controls Carla, Udacity’s self-driving car.
- One of the detailed and best paths to becoming a self-driving car engineer.
- Also, includes a lesson on perceptron and finally a capstone project.
This course can be enrolled by anyone who has completed the prerequisite of Intro to Self-Driving Car. One can complete this course in about 6 months.
5. The Complete Self-Driving Car Course – Applied Deep Learning – Udemy
This course on Udemy is doesn’t need any prior knowledge on any technical skillset. All you need is a working computer. Students who are interested in Artificial Intelligence can get into this field as you’ll learn a bit about it. You’ll begin the course by installing all the necessary software to your PC and programming libraries. Since it is a beginner-friendly course, it comes with a Python crash course.
The trainer explains every part of the course in detail with simple words and every action is shown with step-by-step on-screen instructions. With this course, you also learn more on the subject of Deep Learning. Then the skills of computer vision will help you to identify different lanes on the road. By the end of this course, you will have built a functional autonomous car entirely by Deep Learning.
Key takeaways of this course:
- You learn to use Computer vision with OpenCV to identify the driving lanes.
- You’ll train Convolutional Neural Networks to identify and differentiate between different traffic signs.
- Learn to fit complex datasets to train Deep Neural Networks.
- Master the powerful Neural Network library written in Python, Keras.
- Become a Deep Learning expert as you learn to become zero to hero.
- You’ll be able to build and train functional autonomous vehicles.
The training consists of over 18 hours of video training on self-driving car technology. It also comes with 32 articles to read and 7 downloadable resources.
6. Autonomous Cars: Deep Learning and Computer Vision in Python – Udemy
The future of the automobile industry lies in Autonomous cars. It is expected to save over a million lives and generate economic opportunities by 2035. The goal of the course is to provide learners with key features of the design and development of self-driving cars. To enroll in this course, you are expected to know basic programming skills, and experience in software development will definitely help.
Here you’ll learn major concepts such as vehicle/object detection, lane detection, traffic sign classification, Deep Learning, and Artificial Intelligence. It features 3 parts of computer vision to cover in-depth concepts of the subject. Some of the popular tools and algorithms are covered in OpenCV, TensorFlow, and Keras.
Key takeaways of this course:
- Using OpenCV you’ll process image data and sharpen images with convolution.
- By using template matching you will be able to identify other vehicles.
- You’ll be able to classify data with deep learning and neural networks.
- By using a trained classifier with SVM you can detect pedestrians and cars.
- You get 2 articles to read and lifetime access to the training materials in this course.
The course can be completed in 13 hours. It contains exercises and quizzes along with training videos.
7. Self-Driving Fundamentals: Featuring Apollo – Udacity
This is a free course to learn the fundamentals of self-driving cars. To learn self-driving cars from scratch, then this is the best path to begin. Best for beginners to learn the basics of autonomous cars. It features rich learning content taught by industry professors. In this course, you understand and know about the Apollo architecture used in autonomous cars.
Along with video training to start self-paced learning it also features quizzes for you to solve. This tutorial is perfect to begin your journey into the field of Self-Driving cars. Here you’ll utilize Apollo HD map, perception, localization, prediction, control, and planning to build your career in a self-driving car.
Key takeaways of this course:
- Free course to learn the fundamentals of self-driving cars.
- Features rich learning content training material.
- Taught by industry leaders.
This length of the course is 4 weeks and can be taken up by anyone to learn the subject.
Summary: Best Self-Driving Car Course
If you’re serious about leaving a mark or making an impact in the self-driving car industry, then these are the best self-driving car course on the internet to learn online.
By choosing the right course you’ll also learn other technical skills such as Artificial Intelligence, Robotics, Sensor Fusion, Advanced Lane Finding, and Autonomous Driving.
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