Course Description

Are you interested in the exciting world of self-driving cars? Do you want to learn how these vehicles use visual perception to navigate and make decisions on the road? Then the Visual Perception for Self-Driving Cars course by University of Toronto is perfect for you. With a rating of 4.7 stars and over 557 reviews, this course is highly recommended by students. You will learn essential skills such as Machine Learning, Applied Machine Learning, Computer Programming, Python Programming, Artificial Neural Networks, and Computer Vision. This advanced course will take 1-3 months to complete, and it is designed to provide you with a comprehensive understanding of how visual perception is used in self-driving cars. You will explore the latest techniques and tools used in this field and gain hands-on experience through practical projects. By the end of this course, you will be able to develop and implement visual perception algorithms for self-driving cars. You will also have a deep understanding of the challenges and opportunities in this rapidly evolving industry.