Paid Certificate Intermediate AI & Machine Learning

Self-Driving Cars Specialization — University of Toronto

University of Toronto

Dive into autonomous vehicle engineering with the University of Toronto. Learn the full self-driving car software stack including perception, motion planning, localization, and vehicle control using state-of-the-art techniques.

Duration

7 months

Level

Intermediate

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

Proficiency in Python programming, linear algebra, calculus, and probability is required. Familiarity with basic machine learning concepts and computer vision is strongly recommended.

👥 Who Should Take This Course

  • Engineers and researchers pursuing careers in autonomous vehicles
  • Robotics and AI professionals interested in self-driving technology
  • Computer science students specializing in perception and planning systems
  • Automotive industry professionals transitioning to autonomous systems

📚 What You Will Learn

1

Introduction to Self-Driving Cars and Vehicle Architecture

2

State Estimation and Localization for Self-Driving Cars

3

Visual Perception for Self-Driving Cars

4

Motion Planning for Self-Driving Cars

5

Vehicle Control and Safety Systems

6

Self-Driving Car Integration and Testing

🏛️ About the Institution — University of Toronto

The University of Toronto, founded in 1827, is Canada's top-ranked university and a global leader in artificial intelligence research. Its faculty includes pioneers in deep learning and its robotics institute is at the forefront of autonomous systems research.

Founded

1827

Location

Toronto, Ontario, Canada

Recognition

#1 University in Canada — Times Higher Education (2026)

❓ Frequently Asked Questions

Can I take this University of Toronto self-driving cars program for free?
Yes, you can audit each course in the specialization for free on the course platform. This provides access to video lectures and some course materials. Graded assignments, projects, and the certificate require a subscription or financial aid.
What programming languages and tools are used in this specialization?
The specialization primarily uses Python along with libraries such as NumPy and OpenCV. You will also work with the CARLA open-source driving simulator for hands-on autonomous vehicle development projects.
How long does it take to complete the self-driving cars specialization?
The specialization takes approximately 7 months to complete at a pace of 5-6 hours per week. It is self-paced on the course platform, allowing you to adjust the timeline based on your availability and prior experience.

📖 Get Step-by-Step Guide

Complete walkthrough with screenshots, tips, and troubleshooting

  • Step-by-step registration walkthrough
  • Screenshot tutorials for each step
  • Common mistakes to avoid
  • Tips to complete faster
  • Troubleshooting FAQ
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