Online learning provider Coursera has partnered with the University of Toronto to launch a course specialising in self-driving cars, designed for those with some engineering experience but limited formal training in self-driving technologies.
The company said that the four-part specialisation would be the first of its kind to provide students with state-of-the-art knowledge and engineering to make safe autonomous vehicles a reality.
Experts expect the market for self-driving cars to reach $42 billion by 2025, creating more than 100,000 autonomous vehicle industry jobs for skilled workers within the next decade, according to Coursera.
“Self-driving cars will reshape our cities and our lives, in the process creating tens of thousands of new jobs for those who have the right skills,” said the company’s CEO, Jeff Maggioncalda.
“We’re excited to partner with the University of Toronto, a top-ranked leader in autonomous vehicle research, to train the next generation of engineers who will bring safe, autonomous vehicles to public roads.”
The course will be taught by two autonomous robotics research experts from the University of Toronto, Professor Steven Waslander and Professor Jonathan Kelly. Students enrolled in the course will also learn directly from autonomous vehicle industry experts from companies such as Oxbotica and Zoox.
“Self-driving cars have the potential to increase road safety, lead to more efficient use of roadways and vehicles, and even reduce pollution,” said Jonathan Kelly, Assistant Professor, University of Toronto Institute for Aerospace Studies.
“I think you’d be hard-pressed to find a more challenging engineering problem than designing robust self-driving cars. But that challenge is very exciting. It forces us to think about new ways of doing things. And the more people we have doing it, the greater our chances of success.”
The course will provide participants with a detailed understanding of the architecture and components of a self-driving car software stack, as well as methods for both static and dynamic object detection, including processing real-time sensor data, estimating a car’s location and issuing commands for vehicle control.