Study 15 hrs/week and complete in 6 mo.
If your goal is to learn the skills necessary to become a self-driving car engineer, and then secure a rewarding role in the field where you can start applying those skills, this program is the ideal choice. The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world that both teaches you the right skills, and supports you in obtaining a job.
Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare for a successful career in the incredible field of autonomous systems.
Sebastian Thrun and the Udacity Self-Driving Car team are pioneering educators in this field, and Udacity offers the only program of its kind, where you can learn everything you need to know to launch a successful career as a self-driving car engineer.
In this program, you’ll learn from the some of the most innovative companies in this field. Companies like Mercedes-Benz, NVIDIA, and more. Their teams are defining the future of autonomous transportation, and they helped us build this incredible curriculum.
Our hiring partners are some of the most forward-looking companies in the world, and they're looking for Udacity graduates to fill critical roles right now. These partnerships represent a unique opportunity to benefit from fast-tracked consideration for open roles at partner companies. This affords you a distinct leg up in your job searches.
In addition to the groundbreaking work you’ll do in simulation, you’ll have the opportunity to run your code on a real self-driving car!
This program was built in collaboration with Self Driving Car engineers to ensure you learn the right skills necessary to succeed. Demand is skyrocketing and excitement is running high, but it’s important to see past the headlines to learn what it really takes to be a qualified Self Driving Car engineer. This program prioritizes mastering job-ready skills with a hands-on approach.Designed to prepare you for career success in Self Driving Car engineering.
Self Driving Car engineers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.Create your portfolio and open up a world of opportunities.
Work with experienced career professionals for tailored advice on how to improve your search and impress recruiters, including feedback on your LinkedIn, GitHub, and professional brand.Work with career professionals to impress recruiters.
40,000+ highly-skilled grads make up your new career community. Ready to collaborate, share referrals, or hire your own team? The Udacity Alumni Network is here for you!Connect with our global community to grow your career.
Scientist, educator, inventor, and entrepreneur, Sebastian led the self-driving car project at Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.
David Silver leads the Self-Driving Car Engineer Nanodegree Program. Before Udacity, David was a research engineer on the autonomous vehicle team at Ford. He has an MBA from Stanford, and a BSE in computer science from Princeton.
Ryan has a PhD in Astrophysics and a passion for teaching and learning. He is also a lead instructor in the Robotics Nanodegree program. When he’s not building Udacious learning content you’ll find him up in the mountains or out in the surf.
Cezanne is an expert in computer vision with an M.S. in Electrical Engineering from Stanford University. Inspired by anyone with the drive and imagination to learn something new, she aims to create more inclusive and effective STEM education.
Mercedes-Benz R&D North America develops the world’s most advanced automotive technology and vehicle design with luxury and style. The team from Mercedes built our Sensor Fusion, Localization, and Path Planning content.
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.
Uber ATG Team
The Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety.
I had no idea online training could be so thorough and rigorous. I haven't worked this hard since graduate school! Enjoyed every minute of it. Also would like to mention the level of professionalism and complexity of the web content. The material was well laid out and all of the mechanics of user interaction worked superbly - no flaws. Same for all of the downloads, project code, libraries, etc. - always worked. The level of the instructors was outstanding, the very best in their field. Could not get this level of instructors at a single top-level university. The staff was excellent as well. Always experienced prompt responses. The project reviews where next day, very thorough, and helpful - not just a quick cursory glance. All in all, a great experience.
Program is well designed and well thought out, It was laid out very well. It was hectic in the initial few weeks, trying to grasp what is required and then understanding different concepts, learning from the slack channel, solving other student's problems, ideating, innovating at the same time trying to solve the projects. Overall it was fun and challenging. Great Team by Udacity folks !!! Thanks for the awesome experience. Last but not the least wonderful reviews as well.
This Nanodegree is an excellent introduction to autonomous driving. It has a mix of classical machine learning, deep learning and robotics and every lesson is taught with a programming quiz and every module has a programming project that involves building some component of a typical self-driving car software stack. As someone with a computer science background with some robotics experience, I enjoyed every bit of this Nanodegree. I was awestruck to find out that many of the techniques taught in the Nanodegree have been used by Google self-driving car and also being used by the latest breed of autonomous vehicles from Mercedes to Baidu. I'd like to see a sequel with more advanced content from computer vision, deep learning and control perhaps centred around a state-of-the-art simulator like Carla or Apollo that includes working with LIDAR and RADAR data, programming the CAN bus, 3D segmentation, object tracking, simulation and more.
Lots of unique, high quality content and instruction. Thoroughly enjoyed!
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