Artificial Intelligence for Robotics's Full Profile
Course Summary 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! 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!
Days of the Week:
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
- Level of Difficulty: Advanced
- Size: Massive Open Online Course
- Instructor: Sebastian Thrun
- Institution: Udacity
- Topics: Computer Science, Algebra, Linear Algebra, Probability
Udacity was born out of a Stanford University experiment in which Sebastian Thrun and Peter Norvig offered their Introduction to Artificial Intelligence course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled and not much later, Udacity was born. They are a growing team of educators and engineers on a mission to change the future of education. By making high-quality classes affordable and accessible for students across the globe: Udacity is democratizing education.
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