Become A Robotics Software Engineer
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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.
“The NVIDIA Deep Learning Institute and Udacity share a common vision—to provide students with hands-on training and challenging curriculum to accelerate their careers. We’re working with Udacity to build a world-class AI and deep learning program so that students can go on to become leading developers, researchers and academics in a variety of fields.”— GREG ESTES, VICE PRESIDENT OF DEVELOPER PROGRAMS, NVIDIA
As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass and more.
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 Team
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.
Great learning experience.
I have learned quite a lot about robotics knowledge and technology, and it exactly matched with my expectation.
it is quite intense and really gets me more interested in the subject while keeping the pace without being overwhelming . thanks
This program is awesome. It is one of the best decisions I have ever made. Nanodegree has given most of the skills I needed. Thumb up.
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The Robotics Nanodegree program consists of 2 terms, which are 4 months each.
Students are eligible to enroll in Term 2 of the Nanodegree post successful completion of Term 1. The fee for Term 2 is ₹65,900*
Admissions Closes: 17 October, 2018
Learn to apply SLAM and reinforcement learning techniques for solving robotics problems.
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