Current
Intermediate
40% Off
Self-Driving Cars Specialization
Coursera · University of Toronto · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
3-6 months
Classes
150
Comprehensive specialization from University of Toronto covering autonomous vehicle perception, planning, control, and safety systems.
What you'll get
Build perception systems for autonomous vehicles
Implement path planning and decision-making
Design vehicle control systems and safety assurance
Fit
Best for
Autonomy Engineers
Self-Driving Developers
IoT Engineers
Systems Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python, linear algebra, basic ML
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this specialization opens pathways to roles such as Autonomous Vehicle Engineer, Robotics Software Engineer, or AI Research Scientist in autonomous systems. Additionally, it enhances qualifications for certifications like the Certified Robotics Software Engineer (CRSE), making candidates more competitive in the rapidly growing autonomous vehicle industry.
Skills Value: The skills acquired, particularly in perception systems and vehicle control, are highly sought after in a market with projected growth; engineers in this field can expect salaries averaging $100,000, with specialized roles potentially commanding premiums of 20-30% due to high demand.
Self-Driving
Computer Vision
Control Systems
Autonomous Vehicles