launched a Self-Driving Cars Specialization created by the University of Toronto, a leading institution in robotics research and autonomous driving. The four-part online Specialization is the first of-its-kind to provide learners with 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. Experts predict that the market for self-driving cars will reach $42 billion by 2025 and that the demand for skilled workers within the autonomous vehicle industry will continue to climb, creating more than 100,000 U.S. mobility industry jobs in the next decade. The major players in today’s 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. Todemocratize 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 price of $79 per month. 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.