Nanodegree Program

Start on the road to a Self-Driving Car career

This introductory program is the perfect way to start your journey.

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Intro to Self-Driving Cars Nanodegree

Why Take This Nanodegree Program?

With just minimal programming experience, you can learn the essentials of building a self-driving car. You’ll discover how to solve problems in both Python and C++ as you explore what makes self-driving cars possible. Plus, graduates earn guaranteed admission into our career-ready Self-Driving Car Engineer Nanodegree program!

Why Take This Nanodegree Program?

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

Groundbreaking Curriculum
Groundbreaking Curriculum

Groundbreaking Curriculum

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 to be a self-driving car engineer.

Mentorship, Project Reviews, Community

Mentorship, Project Reviews, Community

Your assigned in-classroom mentor will help answer questions and monitor your progress, reviewers will give you actionable feedback on your projects, and you'll be part of an engaged and supportive peer community.

Minimal programming experience required
Minimal programming experience required

Minimal programming experience required

Anyone with minimal programming experience can learn the essentials of building a self-driving car. You will learn how to solve problems in both Python and C++ as you discover what makes self-driving cars possible.

Guaranteed Admission

Guaranteed Admission

Graduates of this program will earn guaranteed admission into our Self-Driving Car Engineer, AI for Robotics, or Flying Car Nanodegree program. This is the launching point for your career in autonomous systems and a complete path to a self-driving car career.

Guaranteed Admission

As a graduate of the Intro to Self-Driving Cars Nanodegree program, you'll be prepared to take on more advanced concepts within the School of Autonomous Systems. Work to become a self-driving car engineer or an autonomous flight engineer with guaranteed admission into the Self-Driving Car Engineer Nanodegree program and the Flying Car Engineer Nanodegree program. Continue learning and advance your career as you build skills in deep learning, machine learning, localization, control, and more as part of the groundbreaking curriculum built with our pioneering industry collaborators.

Step 1

Enroll in the Intro to Self-Driving Cars Nanodegree program

Step 2

Graduate from the program

Step 3

Gain guaranteed admission into the Self-Driving Car Engineer or Flying Car Engineer Nanodegree programs

What You Will Learn

Download Syllabus

Intro to Self-Driving Cars

In this program, you’ll sharpen your Python skills, apply C++, apply matrices and calculus in code, and touch on computer vision and machine learning. These concepts will be applied to solving self-driving car problems. At the end, you’ll be ready for our Self-Driving Car Engineer Nanodegree program!

Work on self-driving car problems using Python, C++, matrices and calculus in code, and computer vision/machine learning.

See fewer details

4 months to complete

Prerequisite Knowledge

You should be comfortable reading and modifying code. You should also be comfortable with basic algebra.See detailed requirements.

  • Bayesian Thinking

    Learn the framework that underlies a self-driving car’s understanding of itself and the world around it, and to see the world the way a self-driving car does.

    Joy Ride2D Histogram Filter in Python
  • Working with Matrices

    This course will focus on two tools which are vital to self-driving car engineers: object oriented programming and linear algebra.

    Implement a Matrix Class
  • C++ Basics

    This course is the first step in a rewarding journey towards C++ expertise. The goal is translation: get a program written in Python, and translate it into C++.

    Translate Python to C++
  • Performance Programming in C++

    Explore how to write good code that runs correctly. We’ll focus primarily on low level features of C++, but we’ll discuss other best practices as well.

    Performant C++
  • Navigating Complex Data Structures

    Algorithmic thinking is a skill you’ll refine throughout your career. In this course you’ll focus on frequently used data structures and algorithms.

    Planning an Optimal Path
  • Visualizing Calculus and Controls

    In this course you’ll learn basic calculus—the mathematics of continuity. You’ll also learn to use some of Python’s most popular visualization libraries.

    Trajectory Visualizer
  • Machine Learning and Computer Vision

    In this course you’ll learn how a computer sees an image, and how we can use machine learning to teach a computer to identify images programmatically.

    Image Classifier from Scratch
As self-driving cars start taking over the world, everyone should be a part of this revolution. I am very confident that Udacity students will be the catalyst.
— Sebastian Thrun

Learn with the best

Sebastian Thrun
Sebastian Thrun

Udacity President

As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass and more.

Andy Brown
Andy Brown

Curriculum Lead

Andy has a bachelor's degree in physics from MIT, and taught himself to program after college (mostly with Udacity courses). He has been helping Udacity make incredible educational experiences since the early days of the company.

Cezanne Camacho
Cezanne Camacho

Content 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.

Andrew Paster
Andrew Paster

Content Developer

As an engineer, Andrew is excited to teach the technology of the future. With an engineering degree from Yale and years of tutoring experience, he strives to provide the most fulfilling learning experiences possible.

Anthony Navarro
Anthony Navarro

Product Lead

Anthony is a US Army combat veteran with an M.S. in Computer Engineering from Colorado State University. Prior to being a Product Lead at Udacity, he was a Senior Software Engineer at Lockheed Martin in their Autonomous Systems R&D division.

Elecia White
Elecia White

Engineer, Author, Host

Elecia is an embedded software engineer at Logical Elegance, Inc, the author of O’Reilly’s Making Embedded Systems, and host of the podcast. She enjoys sharing her enthusiasm for engineering and devices.

Tarin Ziyaee
Tarin Ziyaee

Voyage, Director of AI

As the Director of Artificial Intelligence at Voyage Auto, Tarin works to deliver low-cost, self-driving taxis. He brings a total of 14 years experience in perception and deep neural networks working with companies such as Apple.

Student Reviews



5 stars
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1 stars
Yash K.

This nanodegree program covered all the basics of programming, data structures, machine learning and computer vision. It is all in one package and a well planned course I will suggest to complete this nanodegree program before enrolling into Self Driving Cars Nanodegree.

Lee Ren Jie R.

The program is engaging and good for someone with limited programming background.

Dean M.

Really great platform and process of learning delivered in this course. I wanted to skip the 'intro' course, but i am very thankful i did not. It really did have many small tips, tricks and some core knowledge components that were essential to my learning. Anyone considering the robotics course, self driving car or plane should start here, it is both a great update and foundation building course as well as great introduction to Udacities course structures and learning process. I highly recommend this course for anyone interested!

kalyan reddy k.

Content is extensive! loved it.

Abuhanif B.

Great program.

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Intro to Self-Driving Cars Nanodegree
$999 USD


Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.

Intro to Self-Driving Cars Nanodegree