Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
Coursera Introduction to Self-Driving Cars online course introduces you to the concept of self-driving cars. You will be learning the details about the hardware used in self-driving cars, components of a self-driving software stack, and how to program vehicle control and modelling. You will also analyse the current industry practices and safety structure related to vehicle development.
The Introduction to Self-Driving Cars programme by Coursera is offered in collaboration with the University of Toronto. You will learn to develop the control code that will help in navigating a self-driving car in a racetrack with the CARLA simulation environment as part of your final project. Certain hardware and software specifications are required to be able to run the CARLA simulator, which will be covered in the curriculum.
Furthermore, the Introduction to Self-Driving Cars courses houses several practice exercises, quizzes, graded assignments, and a final project. All these elements will help you learn and master the core concepts covered during the programme and reinforce your learning. Besides, upon successful completion of the course, you become eligible for the award of a course completion certificate by Coursera.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | Coursera |
Introduction to Self-Driving Cars fees details:
Particulars | Amount |
Course Fee, 1 Month | Rs. 6,634 |
Course Fee, 3 Month | Rs. 13,268 |
Course Fee, 6 Month | Rs. 19,903 |
The prerequisites for the Coursera Introduction to Self-Driving Cars programme include a background in electrical and computer engineering/robotics/mechanical engineering. As it is an advanced-level programme, other prerequisites such as sound knowledge of Python 3.0, linear algebra, Calculus, Physics, and statistics is necessary.
To get the certificate, students need to submit and clear the assignments. Students also need to meet the passing criteria for the programme. However, students need to purchase the course to get a certificate. Coursera will award you a shareable certificate that you can attach to your LinkedIn profile or in your CV.
After completing the Introduction to Self-Driving Cars online training programme, you will acquire the following knowledge:
To enrol in the Introduction to Self-Driving Cars training programme can follow the steps mentioned below:
You have to log in to enrol for the Introduction to Self-Driving Cars online programme by Coursera. There is no need for filling out an application form, and you can join for free by simply signing up. Then, you get access to the course material. Besides, you can avail of the seven-day free trial for the course, if you purchase the full specialisation.
Yes, some of the modules of the Introduction to Self-Driving Cars programme have practice quizzes or graded quizzes or both. In the last module, you will be given a final project which you have to complete using the CARLA simulation.
For the Coursera Introduction to Self-Driving Cars programme, you have to use the CARLA simulator. For the same, you must have a desktop/laptop with a quad-core Intel/AMD processor (2.5 GHz or faster) with 8 GB RAM, Windows 7 or Ubuntu 16.04 or OpenGL 3, and Radeon 687- HD series/NVIDIA GeForce 470 GTX or higher.
Yes, as the Coursera Introduction to Self-Driving Cars course is an advanced-level course, all the prerequisites are necessary. You must have a background in electrical, mechanical engineering, or robotics with sound knowledge of Python 3.0 and statistics.
Yes, the Introduction to Self-Driving Cars programme by Coursera offers separate graded quizzes, assignments and programming assignments. They will be marked individually, and a final grade will be provided to you, after the completion of the programme.
Enrolling and subscribing for the Introduction to Self-Driving Cars advanced online course give you access to all the courses in the specialisation and you will be awarded an electronic certificate. It is added to your accomplishments page, from where you can either print it or link it to your LinkedIn account.