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Overview
Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.
This Self-Driving Cars Specialization 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.
Key facts
- 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 programmes with Python
Programme Structure
Courses include:
- Self-Driving Cars
- State Estimation and Localization for Self-Driving Cars
- Visual Perception for Self-Driving Cars
- Motion Planning for Self-Driving Cars
Key information
Duration
- Part-time
- 3 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Automotive Engineering Human Computer Interaction View 19 other Short Courses in Automotive Engineering in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Advanced Level
- Designed for those already in the industry.
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $399/year, cancel anytime or 14-day money-back guarantee
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.
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