Nanodegree Program

Intro to Self-Driving Cars

Start on the road to a Self-Driving Car career

This introductory program is the perfect way to start your journey. It's the only program of it's kind – globally!

Enroll by July 31, 2018!

Classes start in

  • TIME
    4-month term

    Study 10 hrs/week and complete in 4 mo.

  • Classroom Opens
    July 31, 2018
  • Prerequisites
    Coding, Algebra

    See prerequisites in detail

Intro to Self-Driving Cars

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!

Join now
Intro to Self-Driving Cars
$800 USD

total

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

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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.

Live Help, Project Reviews, Community

Live Help, Project Reviews, Community

You’ll never be without support and guidance as you advance through your program. Live Help will keep you connected in the classroom, 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 Nanodegree program. This is a complete path to a self-driving car career.

What You Will Learn

Download Syllabus
SYLLABUS

Your road to a SDC career

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!

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.

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4 months to complete

  • 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

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.

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. He is the Product Lead at Udacity for the Robotics and Self-Driving Car Engineer Nanodegree programs.

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.

FAQ — Intro to Car

  • 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!
  • What kinds of topics will the program cover?
    The program will cover topics like Bayesian probability, C++ basics, linear algebra, object-oriented programming in Python (and C++), data science, robot localization and control, and some machine learning and computer vision techniques.
  • How do I know if this program is right for me?

    If you're interested in self-driving cars, and already have a basic understanding of programming and algebra, then this program is right for you! If you're considering a career in this amazing field, but don't yet possess all the skills and experience necessary to start applying for jobs today, this program will be your first step toward a self-driving car career. When you graduate, you'll have guaranteed admission into our career-ready Self-Driving Car Engineer Nanodegree program, where you'll learn everything you need to know to launch your career.

    Both programs are full-featured Nanodegree programs offering the same suite of benefits and services—such as real-world projects, expert project review, mentorship, and more; the only decision you need to make is which program matches your current skills and experience.

Intro to Self-Driving Cars

Start on the road to a Self-Driving Car career