9 Best Self Driving Cars Courses & Certification [2021 JULY] [UPDATED]

Best Self Driving Car course tutorial class certification training online

20+ Experts have compiled this list of Best Self Driving Cars Course, Tutorial, Training, Class, and Certification available online for 2021. It includes both paid and free resources to help you learn about Self Driving Cars and these courses are suitable for beginners, intermediate learners as well as experts.

 

9 Best Self-Driving Cars Courses, Certification, Degree & Training Online [2021 JULY] [UPDATED]

1. Self Driving Car Engineer Nanodegree by Mercedes Benz – Nvidia – Uber (Udacity)

If you want to jump-start a career as a self-driving car engineer and climb up to a rewarding role where you can apply your skills, then this is a worthy option to consider. Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you will be able to build a thorough understanding of the subject. Finally, this course does not only teaches you the right skills but it supports you in obtaining a relevant job.

 

Key USPs-

– Learn from some of the most innovative companies and experts in the world.

– Get the opportunity to run your code on a real self-driving car.

– A wide variety of examples helps you to get a clearer view of the topics.

–  Prerequisites include intermediate Python or C++, basic linear algebra, knowledge of calculus, statistics, and physics

– The interactive lessons make the classes more engaging and fun.

 

Duration: 6 months, 10 hours per week

Rating: 4.8 out of 5

You can Sign up Here 

 

Review : It was great learning experience with best mentors -Moiz K.

 

 

2. Self-Driving  Cars Certification by University of Toronto (Coursera)

In this specialization, you will gain an understanding of the engineering practices used in the self-driving car industry. Interact with real data sets from an autonomous vehicle using the open source simulator CARLA. You will learn from a highly realistic driving environment that features 3D pedestrian modeling and environmental conditions. When you complete the specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.

 

Key USPs –

– As this is an advanced level program, therefore, it can be taken by anyone with some background in linear algebra, probability & statistics, calculus, physics, control theory, and Python programming.

– Understand the detailed architecture and components of a self-driving car software stack

– Implement methods for static and dynamic object detection, localization and mapping, behavior and maneuver planning, and vehicle control.

– Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes.

– Demonstrate skills in CARLA and build programs with Python.

– Work on the final capstone project to integrate and apply the acquired knowledge.

– Learn at your own pace with the flexible schedule.

 

Duration: 4 months, 8 hours per week

Rating: 4.6 out of 5

You can Sign up Here

 

Review : There is a steep learning curve for beginners, however if you take the time to learn and understand the content, you can succeed in this course. – Nigel Tims

 

 

3. The Complete Self-Driving Car Course  – Applied Deep Learning (Udemy)

If you are interested in this evolving technology but have no idea about where to start then this course will guide you through all the necessary concepts and more. Go from beginner to deep learning expert and the instructor will complete each task with you step by step on screen. By the end of the classes, you will have built a fully functional self-driving car fuelled entirely by deep learning.   

 

Key USPs-

– No prior experience is required to enroll in this program.

– Use Computer Vision techniques via OpenCV to identify lane lines.

– Learn to train a Perceptron-based Neural Network to classify between binary classes.

– Learn to train Convolutional Neural Networks to identify various traffic signs.

– Master Keras, a power Neural Network library written in Python.

– Pass the graded assessments to earn the certification as well as take the opportunity to complete the project.

– Train Deep Neural Networks to fit complex datasets.

– 158 Lectures + 21 Articles + 7 Downloadable resources + Full lifetime access

 

Duration: 18 hours

Rating: 4.6 out of 5

You can Sign up Here

 

Review : I’m Very impressed with this course and how much I learned in a short period of time. I recommend this course as an excellent starting point for deep learning. I would not hesitate to take this course again. -Saad Fazelpour

 

 

4. Deep Learning for Self-Driving Cars (MIT)

This lesson offers an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is explained in simple terms and is primarily focused on those who are new to machine learning but can be beneficial for advanced researchers in the field looking for a practical overview of deep learning methods and their applications. With guidance from some of the top experts, this course is definitely a crowd favorite.

 

Key USPs-

– The program does not have any particular prerequisite.

– Build a strong foundation and apply the concepts in practical lessons.

– The topics are taught in a simple manner which makes it easy to follow along.

– The real-world examples make the lectures much more interesting and clear.

– Plenty of assignments to practice the concepts covered in the lectures.

– The lectures are open to all.

 

Duration: Self-paced                                                                                

Rating: 4.4 out of 5

You can Sign up Here 

 

 

5. State Estimation and Localization for Self-Driving Cars by the University of Toronto (Coursera)

Created in collaboration with the University of Toronto, this broad curriculum will introduce you to various sensors in vehicles and how you can use them for state estimation and localization in a self-driving car. Taking part in this virtual program will help you learn and comprehend the key approaches for parameter and state estimate used for autonomous driving, like the least-squares method. Moreover, the program is included with a final project that will allow you to learn how to implement the error-state extended Kalman Filter to localize the vehicles with data from the CARLA simulator. Upon completing the syllabus, a digital certificate will be provided to share your skills. Have a look at our compilation of Best Free Automotive Repair courses.

 

Key USPs – 

– A pragmatic program developed to teach you the fundamentals of state estimation and localization for self-driving cars

– Learn how to develop a model for typical vehicle localization sensors, such as GPS, IMUs, and others

– Learn to apply extended and unscented Kalman filters to a vehicle state estimation problem while understanding the LIDAR scan matching and the iterative Closest Point Algorithm

– Be able to apply various tools to fuse multiple sensor streams into a single state estimation for a self-driving car

 

Duration: 27 hours

Rating: 4.7 out of 5

You can Sign up Here

 

Review: A well-taught course by Prof. Jonathan Kelly. I accumulated huge amount of knowledge after undergoing his teachings. The supplementary readings proved to be of great help to ace the final project. – H

 

 

6. Build your First Self-Driving Car using AWS DeepRacer (Coursera)

Offered in collaboration with Project Network, this guided project will help you explore technology that powers self-driving cars, such as sophisticated algorithms like deep reinforcement learning. The course is developed with a step-by-step approach to help you get started with AWS DeepRacer, and then move on to cover some of the advanced topics like building your car engine, training your model, evaluating model, and more. The curriculum is developed by experienced tutors who are well-versed with self-driving car technologies. You’ll get access to multiple video lectures, daily quizzes, guided assignments, and projects to help you throughout the curriculum on enrollment.

 

Key USPs – 

– A practical guided project created with a step-by-step approach to help you learn and cover some of the essential technologies used in self-driving cars

– Learn how to build your first self-driving car by using the AWS DeepRacer platform and effective strategies

– Gain advanced skills for developing self-driving cars like machine learning, self-driving vehicles, reinforcement learning applications, artificial intelligence, etc.

– Learn how to tune your car engine by defining hyperparameters for the training algorithms, clone and deploy your model on a different stack

 

Duration: 2 hours

Rating: 4.5 out of 5

You can Sign up Here

 

 

7. Self-Driving Cars with Duckietown by ETH Zurich (edX)

If you want to learn about autonomous vehicles and how they make a significant impact on society, this course from edX is an excellent option for you. Taking part in this program will take you on a learning journey of planning and developing self-driving vehicles. You will begin learning from a box of components used in auto-creation and then move on to create your scaled self-driving car that drives autonomously in your living room. During the video classes, you’ll get the opportunity to use state-of-the-art approaches, the latest software tools, and actual hardware in an engaging hands-on learning experience. The course is organized by professors and scientists who are passionate about robotics and accessible education. You may like to check our take on the Best Self Defense Classes courses.

 

Key USPs – 

– A perfect course that uses the Duckietown robotic ecosystem, an open-source platform created at the MIT Computer Science and Artificial Intelligence Laboratory

– Learn to recognize essential robot subsystems like actuation, memory, sensing, computation, and mechanical while describing their functions

– Understand how to use robotics in vehicles while teaching a command to robot to reach a goal position

– Learn to make your Duckiebot do autonomous decision making according to traditional approaches like estimation, planning, and control

 

Duration: 14 weeks, 2-4 hours/week

Rating: 4.4 out of 5

You can Sign up Here

 

 

8. Self-Driving Cars Teach-Out (Michigan Online)

This inclusive brochure is focused on teaching you everything about self-driving cars that you need to build your first car. In this curriculum, you’ll understand how self-driving vehicles continue to grow at an extraordinary pace and the potential for more accessible, lower-cost, and safer mobility options. This course is organized in collaboration with the University of Michigan, which means you’ll get assistance from world-class tutors and professionals. After finishing the syllabus, you’ll have a clear understanding of the challenges involved in developing self-driving cars and how to overcome those challenges.

 

Key USPs – 

– A step-by-step learning guide that will teach you what is a self-driving car, what is an automated or driverless vehicle, and everything else

– Know about the major legal questions involved in building a self-driving car and how you can prepare yourself for it

– Understand how to build trust in this new technology, test this technology, and when it will be ready to take on the road

– Learn how self-driving vehicles are changing society and how people are adopting its accessibility and equity

– Earn a badge of completion on finishing the course with given projects and assignments

 

Duration: 4 weeks

Rating: 4.9 out of 5

You can Sign up Here

 

Review: This course was great! Working for an autonomous vehicle company, this course raised some important questions.

 

 

9. Build Your Own Self Driving Car | Deep Learning, OpenCV, C++ (Udemy)

With this course, you will learn the technologies behind self-driving cars. In the beginning, the course will walk you through the role of machine learning and hardware requirements of a self-driving car.  You will learn to assemble the hardware parts and build the track for testing.  As you progress, you will learn about Master device setup, OpenCV4 on Raspberry PI 3B+, Camera setup for Raspberry PI, C++ code to capture images and videos, Image processing using Open CV4 & C++, and Master-slave device communication. Finally, you will learn how to run tests on Large Track, Lane End & U-turn implementations.

 

Key USPs-

– You will learn how to set up Raspberry Pi 3 and Arduino UNO as a Slave micro-controller for an IoT Project

– You will learn Image Processing using OpenCV4 and Train your Image Classifier

– You will master troubleshooting Hardware and Software issues

– The course comes with 25 downloadable resources to help you enhance your learning

– This course of Udemy comes with a certificate of completion

 

Duration: 5.5 hours

Rating: 4.5 out of 5

You can Sign up Here

 

Review: It is a very good course which covers all the grounds of modern technology and gives a brief idea of how does an image detection works. The best part is how the instructor explains everything in detail and how properly the given code is prepared so that anyone can understand it. Real time response is also very good and efficient. – Udit Shinghal

 

So these were the Best Self Driving Class, Course, Training & Certification available online. Hope you found what you were looking for. Wish you a Happy Learning!