Nanodegree Program

Self-Driving Car Engineer Nanodegree

Build the future, today

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.

Applications end at 11:59PM on October 16. Classroom opens on November 2.
Nanodegree program applications are open!
Co-Created By
  • Mercedes
  • Nvidia
  • Uber ATG
  • Didi
  • BMW
  • McLaren
  • NextEv
Timeline
Approx. 9 months
Skill Level
advanced
Get Certified Now

View the Nanodegree

Get the Nanodegree Advantage

  • 1-on-1 Coaching And Mentorship

    Whether you're stuck on a project or want to clarify doubts, our mentors can answer any question in personal 1-on-1 sessions.

  • Content by Global Industry Leaders

    We built Nanodegrees with expert analysts and leading technology companies to ensure you master the skills needed to meet the requirements of industry.

  • Self-Paced Progress

    You can work according to your own schedule and at your own pace. Our bite-sized short videos and in between quizzes keep you engaged and are easy to grasp.

  • Tailored Industry Project Portfolio

    Build a portfolio of industry-relevant projects. Upon graduation, you’ll have an array of example work to impress any employer.

  • Fast And Effective Human Feedback On Projects

    Our global network of experienced reviwers will return your project within 24 hours, with line-by-line comments and tips to ensure you are mastering the material.

  • Personalized Career Guidance

    Take advantage of free resume and online profile reviews. You’ll also receive access to our network of hiring partners in India, their join openings and prepare for hiring questions with mock interviews.

The Nanodegree program consists of three terms of 12 weeks each. It takes nine months to complete. Each term costs INR 44900 (taxes extra), paid in advance. At this time, there are no scholarships or financial aid available.
₹44900*

per term, after acceptance

Applications end at 11:59PM on October 9. Classroom opens on November 2.

Apply Now

Payment Options

We support multiple payment options for your convenience. Choose an option that suits you the most

Credit/Debit

Credit/Debit Card

Accepting payments through Credit/Debit cards from all major banks.

Emi

EMI on Credit Card

Split the payment of the course fee across 3 or more months. Option is available for all plans. Instalment information available on the payment page.

Internet Banking

Internet Banking

Seamless payment though Internet banking accepting payments from over 59 banks.

Why Take This Course

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 this incredible field.

If your goal is to build the future, then your future begins here.

What do I get?
Job-ready project portfolio Personalized feedback on projects Coach-supported forums Career guidance (interview, resume, etc.) Access to course materials 1:1 appointments with Udacity staff and mentors Verified Nanodegree Credential Best-in-class courses taught by expert instructors

Prerequisites and Requirements

To optimize your chances for a successful application to our Self-Driving Car Engineer Nanodegree program, we’ve created a list of prerequisites and recommendations to help prepare you for the program curriculum. Prior to applying, you should have the following knowledge:

  • Intermediate Python (Classes, Data structures)
  • Intermediate C++ (Classes, Memory management, Linking)
  • Basic Linear Algebra (Matrices, Vectors, Matrix multiplication)
  • Basic Calculus (Derivatives, Integrals)
  • Basic Statistics (Mean, Standard deviation, Gaussian distribution)
  • Basic Physics (Forces)

Certain knowledge areas are particularly important to address, and we recommended the following resources for those wishing to refine their skills in these key arenas:

We also recommend the following suite of Udacity courses as excellent preparation for incoming students:

For those aspiring Self-Driving Car Engineers who currently have limited backgrounds in either programming or math, we recommend the following Nanodegree programs and courses:

And for those who have programming and math backgrounds, but would benefit from additional studies in machine learning and/or computer vision:

See the Technology Requirements for using Udacity.

Program Leads

Sebastian Thrun
Sebastian Thrun

Instructor

David Silver
David Silver

Instructor

Ryan Keenan
Ryan Keenan

Instructor

Cameron Pittman
Cameron Pittman

Instructor

Drew Gray
Drew Gray

Uber ATG

Bryan Catanzaro
Bryan Catanzaro

NVIDIA

Andrei Vatavu
Andrei Vatavu

Mercedes-Benz

Michael Maile
Michael Maile

Mercedes-Benz

Dominik Nuss
Dominik Nuss

Mercedes-Benz

Cezanne Camacho
Cezanne Camacho

Instructor

Arpan Chakraborty
Arpan Chakraborty

Instructor

Brok Bucholtz
Brok Bucholtz

Instructor

Self-Driving Car Engineer Nanodegree

Build the future, today