Study 15 hrs/week and complete in 8 mo.
Based on US job data
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.
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.
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.
This has been an excellent and challenging program. I have felt pushed to my highest ability in meeting the requirements for the projects. I have learned an immense amount and feel ready to continue learning on the job.
Great journey from the start, hope it never ends.
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.
Demand for software engineers with the right skills in robotics far exceeds the current supply of qualified talent. This makes this an ideal time to enter this field, and this groundbreaking program represents a unique opportunity to develop in-demand skills.
Expert instructors and detailed project reviews are among hallmarks of this Nanodegree program, and in collaboration with the NVIDIA Deep Learning Institute—one of the most exciting and innovative companies in the world—we have built an unrivalled curriculum that offers a cutting-edge learning experience.
You will graduate from this Nanodegree program having completed several hands-on robotics projects in simulation that will serve as portfolio pieces demonstrating acquired skills. These skills will enable you to pursue a rewarding career in the robotics field.
Over the course of the Nanodegree program, you'll also have the opportunity to learn about robotics hardware such as the NVIDIA Jetson TX2 Developer Kit. Eligible students will also have access to a special education discount on the Jetson TX2 through our collaboration with NVIDIA.
For anyone seeking to launch or advance a career as a Robotics Software Engineer, and who wishes to be a part of the incredible world of robotics, this is the ideal program.
As a Robotics Software Engineer, you'll be equipped to bring value to a wide array of industries.
Robotics Software Engineers opportunities might include:
The Robotics Software Engineer Nanodegree program provides an introduction to software and artificial intelligence as applied to robotics. The areas we focus on are perception, localization, path planning, deep learning, reinforcement learning, and control. These are taught using the Robot Operating System (ROS) framework. All of the techniques required to complete the projects in the Robotics Software Engineer Nanodegree program (including machine learning) are taught as part of the program.
The Machine Learning Engineer Nanodegree program is the most general of the three programs. It offers a great foundation, and is an excellent choice for anyone pursuing a career in a field where machine learning techniques are used. However, the curriculum is not as advanced or specialized as the other two programs.
The Self-Driving Car Engineer Nanodegree program focuses entirely on a specialized application of robotics—it uses robotics concepts and applies them to a self-driving car. If your primary interest is in the application of robotics, machine learning, and artificial intelligence to autonomous vehicles, then this is the program for you. However, if you want a broader and more comprehensive robotics curriculum, with an emphasis on software engineering, then the Robotics Software Engineer Nanodegree program is your best option.
Note: The Machine Learning Engineer program is not a prerequisite for either the Self-Driving Car or Robotics Software Engineer programs, but it may be beneficial to some students to complete this program first, depending on your existing knowledge and experience.
To succeed in this Nanodegree program, you need to have significant experience with:
Background in the following is recommended but not required:
We have a number of Nanodegree programs and free courses that can help you prepare, including:
The program is comprised of two (2) terms of four (4) months with fixed start and end dates. Students must successfully complete all assigned projects by the end date for each term to graduate from the full Nanodegree program. There are either 4 or 5 projects per Term, which give you an opportunity to apply the skills you've learned.
To graduate, students must successfully complete the required projects, which give you the opportunity to apply and demonstrate new skills that you learn in the lessons. Each project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided, and if you do not pass the project, you will be asked to resubmit the project until it passes.
Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.
The full program consists of two 4-month long Terms at a cost of USD $1199 and $1199, for a total program cost of USD $2398.Payment is due before the term begins.
The core of this Nanodegree program focuses on robotics applications in software. You can master the skills, and complete every project, while focusing entirely on software, and working in simulation.
We are also excited that our collaboration with NVIDIA DLI makes it possible for eligible Term 2 students to receive an education discount that can be applied to the purchase of an NVIDIA Jetson TX2 Developer Kit! Eligible students are encouraged to take advantage of this special offer, as this embedded supercomputing platform will enable you to take classroom projects (and your own personal projects) out of simulation and bring them into real-world scenarios.