SK
This Course is very useful .The lectures are well paced and the hands on coding exercises spread throughout the course make sure that you imbibe what is taught in the lectures.

Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. By the end of this course, you will be able to: - Understand commonly used hardware used for self-driving cars - Identify the main components of the self-driving software stack - Program vehicle modelling and control - Analyze the safety frameworks and current industry practices for vehicle development For the final project in this course, you will develop control code to navigate a self-driving car around a racetrack in the CARLA simulation environment. You will construct longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and path tracking performance using Python. You’ll test the limits of your control design and learn the challenges inherent in driving at the limit of vehicle performance. This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws). You will also need certain hardware and software specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).

SK
This Course is very useful .The lectures are well paced and the hands on coding exercises spread throughout the course make sure that you imbibe what is taught in the lectures.
FM
This course is awesome ! This is one of the great courses for you who want to learn about self-driving cars for the first time. The assignments are challenging, especially the final project.
GH
The programming exercise needs a little more introductory . For someone new its very difficult to follow and adapt and meet the deadlines. This could potentially be demotivating
MB
Well paced and easy to follow. Though I was familiar with the concepts already, I still learned quite a bit. The final project was a perfect complement to the modules covered.
NP
Very engrossing and interesting course. This is a very intensive course and requires some work on the assignments and projects and hence makes it very satisfying to learn.
NL
One of the best course in the present time. Gain lot of insight over the lateral and longitudinal movements of the vehicle. Looking forward for the further specialization.
H
The course is very helpful! It gives a good big picture overview and the hands-on lab forces the student to understand what is truly happening under the hood at a foundational level
P
Really Insightfull, Covers al parameters and gives you complete knowledge Really Recommended to anyone out there wanna take a good technical approach to Introduction to Self driving Cars
AY
Such an amazing course to introduce a technological revolution that will be a breakthrough in our world! Of course, there is some challenge to finish the course and expect some difficulties.
YK
It's a very informative specialization along with informative, helpful content taught by good professors, it also enhances your skills and makes you a knowledgeable person.
KP
coursera is a great platform to lear things which are very helpful in our career . and this self driving cars facinates me how great work of math behing the working of level 5 anotomy vehicles
RR
Great learning experience with a lot of references and nicely designed projects to learn from. Look forward to diving deeper into the complete Self Driving Cars course.