Nanodegree Program

Self-Driving Car

Become a Self-Driving Car Engineer

In this advanced program, you’ll master the job-ready skills needed to launch your career.

Apply by July 24!

  • TIME
    2 Three-Month Terms

    Study 10 hrs/week and complete in 6 mo.

  • Applications Due By
    July 24, 2018

    Apply now to start learning in August

  • Prerequisites
    Python, Analysis, Git/GitHub

    See prerequisites in detail

  • Language
    English

    Learning material and communication in English

Built in partnership with
  • Mercedes Benz
  • Nvidia
  • BMW
  • Uber ATG
  • DiDi
  • McLaren
  • NEXTEV

Why Take The Udacity Self-Driving Car Nanodegree Program?

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.


Why Take The Udacity Self-Driving Car Nanodegree Program?

Researchers estimate driverless cars will save 10 million lives per decade!

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 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.

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 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.

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!

What You Will Learn

Download Syllabus
Term 1

Computer Vision, Deep Learning, and Sensor Fusion

In this term, you'll become an expert in applying Computer Vision and Deep Learning on automotive problems. You will teach the car to detect lane lines, predict steering angle, and more all based on just camera data!

In this term, you'll become an expert in applying Computer Vision and Deep Learning on automotive problems.

See details

3 months to complete

Term 2

Localization, Path Planning, Control, and System Integration

In this term, you'll learn how to use an array of sensor data to perceive the environment and control the vehicle. You'll evaluate sensor data from camera, radar, lidar, and GPS, and use these in closed-loop controllers that actuate the vehicle.

In this term, you'll learn how to use an array of sensor data to perceive the environment and control the vehicle.

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

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
David Silver

Tutor

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

Tutor

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 Camacho
Cezanne Camacho

Tutorin

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

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.

Nvidia
Nvidia

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.

Uber ATG
Uber ATG

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.

Elektrobit
Elektrobit

Functional 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.

Term 1
Computer Vision and Deep Learning
$1199 USD

total

Start your self-driving car training by applying Computer Vision and Deep Learning to automotive problems.

Apply now


World-Class Nanodegree Programs

Jobs of Tomorrow Start Here

  • Why should I enroll in this program?
    Udacity is the only place to offer this kind of opportunity to become a Self-Driving Car Engineer. We have partnered with the best companies in the field to offer a world-class curriculum, expert instructors, and exclusive hiring opportunities. Almost any student anywhere in the world with an internet connection can study to become a self-driving car engineer at Udacity. You'll even build and run code on an actual autonomous vehicle that is owned by Udacity.
  • What jobs will this program prepare me for?
    With curriculum covering topics such as deep learning, computer vision, machine learning, sensor fusion, localization, control, path planning, and automotive hardware, program graduates will be uniquely prepared for a wide variety of roles in the autonomous vehicle industry.

    These include System Software Engineer, Deep Learning Engineer, Vehicle Software Engineer, Localization and Mapping Engineer, Autonomous Driving Engineer, Autopilot Engineer, Sensor Fusion Engineer, Visual Perception Engineer, Machine Learning Engineer, and Motion Planning Engineer.

    If you elect to work outside of automotive engineering, your foundation in deep learning and robotics will enable you to fill any number of related roles in other industries, including: Robotics Software Engineer, Prediction Engineer, Computer Vision Engineer, IoT Engineer, and Automation Engineer!
  • How are you developing the curriculum, and who are your partners?
    Udacity is developing the Self-Driving Car Engineer Nanodegree program in close partnership with leading experts in the autonomous vehicle industry, including Mercedes-Benz, Nvidia and Uber ATG.

Self-Driving Car

Become a Self-Driving Car Engineer