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5 Best Online Self Driving Cars Courses & Certification of 2020

Self Driving Cars

It is quite difficult for students to find the best way to suit their needs with many Self Driving courses. We are often asked by students whether there is a standard course of Self Driving that fits every case. YES is the reply. You can participate in the following popular courses. Registering for the right course will make a major difference in your career growth. The four best Self Driving courses & classes of 2020 have been chosen by hand in this article.

Our focus is on highlighting their respective categories as the best and most popular courses.

You can select the one which best fits your needs depending on your use case.

Let us look at the best Self Driving courses available on the market, however.

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

Duration: 4 months, 8 hours per week

Rating: 4.6 out of 5

You will gain an understanding of the research methods used in the self-driving automobile industry in this specialisation. Using the open source simulator CARLA interact with real data sets from an autonomous vehicle. You will learn from a driving environment that is highly realistic, with 3D pedestrian modeling and environmental conditions. When you successfully complete the specialization, you will be able to build your own self-driving software stack and be prepared to apply for jobs in the autonomous automotive industry.

Key Highlights:

  • Therefore, as this is an advanced level program, anyone with some background in linear algebra, probability & statistics, calculus, physics, control theory and Python programming can take it.
  • Understand the detailed architecture and software components of a self driving car stack
  • Implement static and dynamic object detection methods, location and mapping methods, behavior and maneuver planning, and vehicle control.
  • Using practical physics of the vehicle, full sensor suite: camera, LIDAR, GPS / INS, wheel odometry, depth map, semiconductor segmentation, bounding boxes.
  • Show CARLA skills, and build Python programs.
  • Work on integrating and applying the knowledge acquired in the final capstone project.
  • Learn to a flexible schedule at your own pace.

You can Sign up Here

2. Self Driving Car Engineer Nanodegree (Udacity)

Duration: 6 months, 10 hours per week

Rating: 4.8 out of 5

If you’d like to start a career as a self-driving automobile engineer and climb up to a rewarding role where you can apply your skills, then this is a worthy option. You will be able to develop a detailed understanding of the topic through immersive projects in computer vision, robotic controls, localisation, route planning, and more. Lastly, this course not only teaches you the right skills but also helps you get a relevant job.

Key Highlights:

  • Read from some of the world’s most cutting-edge businesses and experts.
  • Get the chance to test the code on a fully self-driving car.
  • A wide wide range of case studies helps you get a clearer insight into the topics.
  • Preconditions include intermediate Python or C++, basic linear algebra, computational knowledge, statistics, and physics.
  • The immersive lessons make the classes even more fun and engaging.

You can Sign up Here

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

Duration: 18 hours

Rating: 4.6 out of 5

If you’re interested in these advancing technologies but don’t know where to begin then this course will lead you through all the concepts you need and more. Go from beginner to expert in deep learning and the instructor will complete each task step by step on-screen with you. You’ll have developed a completely functioning self-driving car entirely powered by deep learning by the end of the semester.

Key Highlights:

  • No previous experience to enroll in this program is needed.
  • Use Computer Vision techniques to identify lane lines via OpenCV.
  • Learn how to train a Perceptron-based Neural Network to rank among binary classes.
  • Learn how to train Convolutional Neural Networks to identify different signs of traffic.
  • Master Keras, a power library of the Neural Network, written in Python.
  • Pass the graded tests to get the certification and take the opportunity to complete the project.
  • Train deep neural networks in order to fit complex datasets.
  • 158 Conferences + 21 Articles + 7 Downloadable resources + Lifelong access

You can Sign up Here

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

Duration: Self-paced                                                                                

Rating: 4.4 out of 5

This lesson provides an introduction to the application of deep learning by designing a self-driving car using the applied theme. It is described in simple terms and focuses primarily on those who are new to machine learning but may be of benefit to advanced researchers in the field seeking a practical overview of deep learning methods and their applications. This course is definitely a crowd favorite with guidance from some of the top experts.

Key Highlights:

  • There is no specific prerequisite for the program.
  • Create a solid base for realistic lessons and apply the principles.
  • The subject matter is taught in a simple way that makes it easy to follow along.
  • The real-world examples make the lectures much clearer and more interesting.
  • A lot of assignments to put the concepts covered in the lectures into practice.
  • The readings are open to everyone.

You can Sign up Here

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

Duration: 5.5 hours

Rating: 4.5 out of 5

You’ll learn the technologies behind self-driving cars through this course. The course will initially walk you through the function of a self-driving car learning machine and hardware requirements. You’ll learn how to assemble the pieces of hardware and construct the test track. You’ll learn about Master Device Setup, OpenCV4 on Raspberry PI 3B+, Raspberry PI Camera Setup, C++ image and video capture code, Open CV4 & C++ image processing, and Master-slave device communication as you progress. Finally, you’ll learn how to run tests on implementations of Broad Line, Lane End & U-turn.

Key Highlights:

  • You’ll learn how to set up Raspberry Pi 3 and Arduino UNO as an IoT Project Slave micro-controller
  • Use OpenCV4 to learn image processing, and train your Image Classifier
  • You will be mastering hardware and software problem solving
  • The course includes 25 downloadable resources to help you improve your learning;
  • This Udemy course comes with a Completion Certificate

You can Sign up Here

Wrapping Up

That’s the list of 5 Best Online Self Driving Cars courses with high-quality content. They are popular and loved by many machine learning students. Between these courses, you are sure to find what you need to learn to continue your path of the machine learning.

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