Study 15 hrs/week and complete in 8 mo.
Learning material and communication in English
In this program, you’ll gain hands-on experience developing robotics solutions as you cover topics such as: Robot Operating System (ROS), Kinematics, Control, Simultaneous Localization and Mapping (SLAM), and more. You’ll learn cutting-edge techniques like Deep Reinforcement Learning through our partnership with NVIDIA's Deep Learning Institute. You’ll master the key skills necessary to become a software engineer in the transformational field of robotics and applied artificial intelligence.
Udacity has joined forces with NVIDIA and Electric Movement to create a groundbreaking learning experience that features world-class curriculum. You’ll master cutting-edge skills and techniques, gain hands-on experience, and build unique projects focused on the most important concepts and topics in the field of robotics.
Graduates of this program will emerge fully prepared to join innovative robotics teams, and develop pioneering robotics solutions. You’ll be perfectly positioned to take advantage of rapidly-increasing demand for robotics talent, and the projects you build in this program will become part of a portfolio that demonstrates your mastery of career-ready robotics skills.
NVIDIA Jetson TX2
Through our partnership with NVIDIA, eligible Udacity students entering Term 2 will receive an education discount on the NVIDIA Jetson TX2 Developer Kit. This represents an opportunity to integrate unparalleled embedded compute capability into the learning experience.
Scientist, educator, inventor, and entrepreneur, Sebastian led the self-driving car project at Google X, and founded Udacity with a mission to democratize education by providing lifelong learning opportunities to millions of students around the world.
UDACITY, CURRICULUM LEAD
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
UDACITY, CURRICULUM LEAD
Ryan has a PhD in Astrophysics from the University of Wisconsin-Madison. He is also a lead instructor for the Self-Driving Car and Flying Car Nanodegree programs.
UDACITY, PRODUCT LEAD
Anthony is a US Army combat veteran with an M.S. in Computer Engineering from Colorado State University. Prior to being a Product Lead at Udacity, he was a Senior Software Engineer at Lockheed Martin in their Autonomous Systems R&D division.
Julia is an instructor of Mechatronics Engineering at the University of Waterloo. Her previous work experiences include designing electric vehicles for underground mines and leading a prestigious STEM enrichment program for gifted high-school students.
Karim started his early career as a Mechanical Engineer. He earned his M.S. in Mechatronics and Robotics Engineering from NYU. His specialties include Kinematics, Control, and Electronics.
NVIDIA is a company built upon great minds and groundbreaking research. GPU deep learning has ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Electric Movement is a robotics engineering firm that brings to our program invaluable insights about real-world robotics applications, and deep, market-vetted expertise in ROS, robotics, automation, embedded systems, and agile development.
Using ROS, learn to solve robotics problems around perception, control, and deep learning.
Learn to apply SLAM and reinforcement learning techniques for solving robotics problems.