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Time
4-month term
Study 10 hrs/week and complete in 4 mo.
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Classroom Opens
May 22, 2018
Classroom opens in 27 days.
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Prerequisites
Programming & Mathematics
Prerequisites and Requirements
Students should have some experience with programming—writing short scripts in a programming language—and be comfortable with algebra. You should also feel comfortable reading and modifying code that you are given, with the understanding that solving problems in code may still be challenging. If you believe you need more preparation, here are some additional resources you can use:
Free Courses
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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!
Danica Patrick
Nascar driver
Danica Patrick stands for fearlessness when it comes to change—behind the wheel, and ahead of the curve.
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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
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
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
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
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
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
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
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
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
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
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 SyllabusIntro to Self-Driving Cars Syllabus
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Syllabus
Intro to Self-Driving Cars
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Prerequisite Knowledge
You should be comfortable reading and modifying code. You should also be comfortable with basic algebra. See detailed requirements.
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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 Ride
2D Histogram Filter in Python
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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
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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++
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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++
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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
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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
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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
Get Started Now
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Intro to Self-Driving Cars
total
Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.
Related Nanodegree Programs
This Program
Intro to Self-Driving Cars
Nanodegree program
Get on the road to a Self-Driving Car career
intermediate
Self-Driving Car Engineer
Nanodegree Program
Become a Self-Driving Car Engineer
Advanced
FAQ
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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!
Project
Performant C++
A self-driving car can’t afford to waste any cycles or memory unnecessarily. In this project you’ll take some functioning (but inefficient) C++ code and optimize it.
Project
Joy Ride
Jump into writing code that controls a simulated vehicle. Send throttle and steering commands to the car to get it to navigate around a test track.
Project
Planning an Optimal Path
You turn on your self-driving car, buckle up, and enter a destination. Navigating from A → B is not an easy problem. In this project you’ll use your knowledge of data structures (in particular, graph data structures) and search algorithms to write an algorithm which uses a map and traffic information to find the quickest route between two points.
Project
Image Classifier from Scratch
In this project you’ll build an image classifier from scratch. When you’re done you’ll have an algorithm that can reliably classify an image as “pedestrian” or “car.”
Project
Translate Python to C++
In this project you’ll apply your knowledge of C++ syntax by translating the Histogram Filter code from the first course into C++.
Project
Trajectory Visualizer
As a self-driving car engineer, a lot of the code you write involves simulation, visualization, testing, and debugging. In this project you’ll write a visualization tool that will let you visualize the continuous trajectories that come from various search and control algorithms.
Project
Implement a Matrix Class
In this project you’ll practice using your object oriented programming and matrix math skills by filling out the methods in a partially-completed `Matrix` class.
Project
2D Histogram Filter in Python
In this project, you will write the `sense` and `move` functions for a 2-dimensional histogram filter in Python.
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