Free Course

Artificial Intelligence for Robotics

by
Georgia Institute of Technology

Programming a Robotic Car

Nanodegree Program

Become A Robotics Software Engineer

byNvidia

Accelerate your career with the credential that fast-tracks you to job success.

About this Course

Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

This course is offered as part of the Georgia Tech Masters in Computer Science. The updated course includes a final project, where you must chase a runaway robot that is trying to escape!

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Course Cost
Free
Timeline
Approx. 2 months
Skill Level
advanced
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This free course is your first step towards a new career with the Become A Robotics Software Engineer Program.

Free Course

Artificial Intelligence for Robotics

byGeorgia Institute of Technology

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

Sebastian Thrun

Sebastian Thrun

Instructor

Prerequisites and Requirements

Success in this course requires some programming experience and some mathematical fluency.

Programming in this course is done in Python. We will use some basic object-oriented concepts to model robot motion and perception. If you don’t know Python but have experience with another language, you should be able to pick up the syntax fairly quickly. If you have no programming experience, you should consider taking Udacity’s Introduction to Computer Science course before attempting this one.

The math used will be centered on probability and linear algebra. You don’t need to be an expert in either, but some familiarity with concepts in probability (e.g. probabilities must add to one, conditional probability, and Bayes’ rule) will be extremely helpful. It is possible to learn these concepts during the course, but it will take more work. Knowledge of linear algebra, while helpful, is not required.

See the Technology Requirements for using Udacity.

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Why Take This Course

This course will teach you probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

At the end of the course, you will leverage what you learned by solving the problem of a runaway robot that you must chase and hunt down!

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