Become a Self-Driving Car Engineer
Classes start in
Study 15 hrs/week and complete in 6 mo.
Self-driving cars represent one of the most significant advances in modern history. Their impact will go beyond technology, beyond transportation, beyond urban planning to change our daily lives in ways we have yet to imagine.
Students who enroll in this program will master technologies that are going to shape the future. Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare yourself for a key role in the incredible field of driverless cars. If your goal is to build the future, then your future begins here.
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 Self-Driving Car program, you’ll learn from the some of the most innovative companies operating in this field. Companies like NVIDIA, Mercedes-Benz, 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 today. These partnerships represent a unique opportunity to benefit from fast-tracked consideration for open roles at partner companies, and 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!
“There's an enormous market for self-driving car engineers. Lots and lots of companies that you wouldn't suspect have entered that field and are massively hiring.”— SEBASTIAN THRUN, UDACITY
Sebastian Thrun is a scientist, educator, inventor, and entrepreneur. As the founder and president of Udacity, Sebastian’s mission is to democratize education by providing lifelong learning to millions of students worldwide.
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 one of the lead instructors in the Self-Driving Car Nanodegree program. When he’s not building Udacious robotics lessons 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.
Sensor Fusion, Localization, Path Planning
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.
KI, AR, graphics
NVIDIA is a company built upon great minds and groundbreaking research. With more than 120 scientists around the globe, the areas of focus include AI, self-driving cars, high-performance computing, graphics, VR, and augmented reality.
Mapping, vehicle safety
The Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety.
Benjamin Brentrop, Elektrobit’s Head of Functional Safety Consulting, has been working in the testing and functional safety field since 2006. In his current role at EB, he consults with OEM and Tier 1s, to provide functional safety knowledge and expertise for global automotive projects.
To make it even easier to learn, you can finance your Nanodegree through Affirm.
As low as $100 per month at 0% APR.
Pay your monthly bill using a bank transfer, check, or debit card.
Start your self-driving car training by applying Computer Vision and Deep Learning to automotive problems.