Nanodegree Program
Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.
Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.
Intermediate
3 months
Real-world Projects
Completion Certificate
Last Updated June 7, 2023
Course 1 • 1 hour
Welcome to the Intro to Self-Driving Cars Nanodegree program! In this section you'll get a sneak peak of the classroom, meet the team, and learn about the services provided. Then you'll take a readiness assessment and check out some learning resources to help you make the most out of your experience.
Course 2 • 1 week
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.
Course 3 • 1 month
This course will focus on two tools which are vital to self-driving car engineers: object oriented programming and linear algebra.
Course 4 • 1 week
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++.
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.
Instructor
Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity's Self-Driving Car Engineer Nanodegree program.
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.
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.
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.
Curriculum Lead
Cezanne is an expert in computer vision with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she's applied computer vision and deep learning to medical diagnostic applications.
Founder and Executive Chairman, Udacity
As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.
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Intro to Self-Driving Cars
