• Time
    4-month term

    Study 10 hrs/week and complete in 4 mo.

  • Classroom Opens
    June 26, 2018

    Classroom opens in 3 days.

  • Prerequisites
    Programming & Mathematics

    See detailed requirements


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!

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

Features 1
Amazing content & live sessions

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.

Projects with expert feedback

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.

Features 2
Guaranteed Admission

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.

Earn a Udacity Foundation Nanodegree

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.

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 Embedded.fm 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.

What You Will Learn

Download Syllabus

Thanks for your interest!

If the download did not begin, please download the syllabus directly here.


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 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.

    Icon project Joy Ride Icon project 2D 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.

    Icon project 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++.

    Icon project 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.

    Icon project 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.

    Icon project 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.

    Icon project 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.

    Icon project 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

Get Started Now

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Intro to Self-Driving Cars


or pay monthly with Paypal Credit*

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

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  • Why should I enroll in the Intro to Self-Driving Cars Nanodegree program?

    Self-driving cars are the future of smart transportation, and this introductory program is the perfect way to start your journey to a self-driving car career! This program enables anyone with minimal programming experience to learn the essentials of programming a self-driving car, from machine learning to object-oriented programming to probabilistic robotics. You will learn how to solve problems in both Python and C++ as you discover what makes self-driving cars possible. Best of all, graduates earn guaranteed admission into our career-ready Self-Driving Car Engineer Nanodegree program!

See More Questions

Intro to Self-Driving Cars

Get on the road to a Self-Driving Car career

Enroll Now
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