• Anytime
    Application Deadline
  • 5 months
    Duration
Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry with this Self-Driving Cars offered by Coursera in partnership with University of Toronto.
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Overview

This Self-Driving Cars offered by Coursera in partnership with University of Toronto gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.

Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.

You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.

What you will learn

  • Understand the detailed architecture and components of a self-driving car software stack
  • Implement methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control
  • Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes
  • Demonstrate skills in CARLA and build programs with Python

Detailed Programme Facts

Programme Structure

Courses include:

  • Introduction to Self-Driving Cars
  • State Estimation and Localization for Self-Driving Cars
  • Visual Perception for Self-Driving Cars
  • Motion Planning for Self-Driving Cars

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

  • Advanced Level
  • It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. 

Technological Requirements

You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).

Tuition Fee

7-day Free Trial on Specializations
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Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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