Nanodegree Program

Become a Self Driving Car Engineer

Self-driving cars are set to revolutionize the way we live. This is transformational technology, on the cutting-edge of robotics, machine learning, software engineering, and mechanical engineering. In this program, you’ll learn the skills and techniques used by self-driving car teams at the most advanced technology companies in the world.

Built in partnership with
  • Mercedes
  • Nvidia
  • Uber ATG
  • Didi
  • BMW
  • McLaren

Why Take This Nanodegree Program?

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.


Why Take This Nanodegree Program?

As a self-driving car engineer, you have the potential to help save over 1 million people per year!

A One-Of-A-Kind Program
A One-Of-A-Kind Program

A One-Of-A-Kind Program

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.

World-Class Curriculum

World-Class Curriculum

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.

Valuable Hiring Partnerships
Valuable Hiring Partnerships

Valuable Hiring Partnerships

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.

Real-World Learning

Real-World Learning

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!

Advance your Career

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.

Hiring PartnersMeet Top Companies

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.

Succeed with RecruitersSucceed with Recruiters

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.

Build a Great NetworkBuild a Great Network

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.

What You Will Learn

Download Syllabus
TERM 1

Computer Vision, Deep Learning, and Sensor Fusion

In this term, you'll first apply computer vision and deep learning to automotive problems. You will teach the car to detect lane lines, predict steering angles, and more, all based on just camera data. Next, you'll learn sensor fusion, which you'll use to filter data from an array of sensors in order to perceive the environment.

In this term, you'll apply computer vision, deep learning, and sensor fusion to automotive problems.

See details

3 months to complete

TERM 2

Localization, Path Planning, Control, and System Integration

Work with a team to program Carla, Udacity’s real self-driving car! Learn to localize Carla by evaluating camera, radar, lidar, and GPS data to determine Carla’s precise location, and learn to plan where she should go and how the vehicle’s systems work together to get her there.

In this term, you'll expand on your sensor knowledge to localize the vehicle, as well as plan its path. You’ll use the steering, accelerator, and brake to control the vehicle. Finally, you’ll use all of your knowledge to program a real self-driving car!

See details

3 months to complete

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

Learn with the best

Sebastian Thrun
Sebastian Thrun

Udacity President

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
David Silver

Curriculum Lead

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 Keenan
Ryan Keenan

Course Developer

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 Camacho
Cezanne Camacho

Course Developer

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
Mercedes-Benz

Mercedes-Benz Team

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
NVIDIA

Nvidia Team

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
Uber ATG

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.

Student Reviews

4.8

(877)

5 stars
744
84.8%
4 stars
96
10.9%
3 stars
21
2.4%
2 stars
10
1.1%
1 stars
6
0.7%
Moiz K.

It was great learning experience with best mentors

宏忠 伍.

This course helped me build a complete framework of self driving car. Really appreciate it.

Mohan B.

I find a lot of useful and must-have content in elective section. Though they have projects in git-hub, there is no link to submit or get them reviewed. Please consider adding them to core content, or adding facility to submit and get those projects reviewed...!! :)

Aaron M.

This experience has been great for me. I've learned so much about Self Driving Cars. Although the projects are hard, I feel proud to complete this nano degree and graduate from it.

Murat T.

Hello there, This is great course which is strong but has a big knowledge. Here I am , and I want to change my career with UDACITY. Best Regards.

Term 1
Self Driving Car Engineer Nanodegree
$1199 USD

Term One

Build the Future of Transportation, today

Self Driving Car Engineer Nanodegree