Sebastian Thrun

Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of the National Academy of Engineering and the German Academy of Sciences. Thrun is best known for his research in robotics and machine learning, specifically his work with self-driving cars.

More info: http://robots.stanford.edu/

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Artificial Intelligence for Robotics (Udacity) Udacity
Udacity

Artificial Intelligence for Robotics (Udacity)

Embark on a journey into the world of robotic cars with 'Artificial Intelligence for Robotics' - an engaging online course designed to equip you with essential AI skills in robotics. Led by industry leaders from Google and Stanford's autonomous driving teams, this course dives deep into planning, search, localization, tracking, and control systems, all while applying these concepts through extensive programming examples.

Self Paced
Self-Paced
Self-Driving Fundamentals: Featuring Apollo (Udacity) Udacity
Udacity,Apollo Platform,Baidu

Self-Driving Fundamentals: Featuring Apollo (Udacity)

Embark on an exciting learning adventure with 'Self-Driving Fundamentals: Featuring Apollo' by Udacity. This course is designed for those eager to understand the intricate workings of self-driving cars and contribute to the future of autonomous transportation. You'll explore key components such as Apollo architecture, HD Maps, localization systems, perception modules, prediction algorithms, planning strategies, and control mechanisms.

Self Paced
Self-Paced
Introduction to Machine Learning Course (Udacity) Udacity
Udacity

Introduction to Machine Learning Course (Udacity)

Embark on a journey into the world of Machine Learning with our Introduction to Machine Learning Course. This course is designed for beginners who want to dive deep into data analysis and predictive modeling. Taught by industry professionals, you'll learn how to investigate data through a machine learning lens and gain valuable skills that are in high demand across various industries.

Self Paced
Self-Paced
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