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!
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.
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.
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.
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.
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.
Enroll in the Intro to Self-Driving Cars Nanodegree program
Graduate from the program
Gain guaranteed admission into the Self-Driving Car Engineer or Flying Car Engineer Nanodegree programs
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You should be comfortable reading and modifying code. You should also be comfortable with basic algebra.See detailed requirements.
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
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
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++
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++
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
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
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
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 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 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.
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 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.
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.
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.
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.
The program is engaging and good for someone with limited programming background.
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!
Content is extensive! loved it.
Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.