Coursera and University of Toronto launch autonomous vehicle specialization

Coursera and University of Toronto

Coursera launched a self-driving cars specialization created by the
University of Toronto, a leading institution in robotics research and
autonomous driving.

The Specialization provides a
detailed understanding of the architecture and components of a self-driving car
software stack, methods for static and dynamic object detection including
processing real-time data from sensors, estimating a car’s location, and
issuing commands for vehicle control. By the end of the four-course
Specialization, students will be able to drive a virtual car around a simulated
racetrack.

The four-part online
Specialization is the first-of-its-kind to provide learners with
state-of-the-art knowledge and engineering to make safe autonomous vehicles a
reality. The Specialization is designed for learners who already have some
engineering experience, but little to no formal training in self-driving
technologies.

The major players in self-driving
car market guard their technology and advancements closely, making it difficult
to gain access to the crucial knowledge needed to enter the field. To
democratize access to top quality self-driving car development knowledge,
Coursera and the University of Toronto will offer a series of advanced,
hands-on simulation and programming assignments at an industry-leading price of
$79 per month.

Learn directly from the industry experts

World-renowned experts,
Professor Steven Waslander and Professor Jonathan Kelly from the University of
Toronto, teach the Specialization based on 30 years of experience and
pioneering techniques in autonomous robotics research. Learners enrolled in the
Specialization will also learn directly from industry experts from leading
companies like Oxbotica and Zoox.

Jeff Maggioncalda, CEO of Coursera stated, “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. 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.”

Jonathan Kelly, Assistant Professor, University of Toronto
Institute for Aerospace Studies
stated,
“Self-driving cars have the potential to increase road safety, lead to more
efficient use of roadways and vehicles, and even reduce pollution. I think you
would be hard-pressed to find a more challenging engineering problem than
designing robust self-driving cars. However, 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.”