Study 10 hrs/week and complete in 4 mo.
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.
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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 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.
The mentor(s) provide prompt responses and the quality of content is just out of this world. The course also comes with interesting videos and challenges that make it easy to relate the complex concepts used in Self Driving Cars by simple every day activities.
The Intro to Self-Driving Cars Nanodegree is an excellent program. It is going well above all the Artificial Intelligence courses I have ever taken. I went to college to study CS, and now at Udacity I see how its instructors make many complex concepts very easy to understand. Thank you for making this learning experience possible!!
I'm having some issues getting to the assignments, but I'm holding in there and hoping it's fixed so I can start working.
I am slowly remembering my classes in college. The smaller chunks of information in a visual format with hands on works well with my learning style. This is very cool information that is being shared. Thank you.
I could saw you guys tried to explain as easy as possible for the overall contents in the course. So, even though this course contains graduate school level knowledge, I felt this course very easy. I was very satisfied. Also, I could have confident to deal with python & C++. Thank you very very much!
To make it even easier to learn, you can finance your Nanodegree through Affirm.
As low as $84 per month at 0% APR.
Pay your monthly bill using a bank transfer, check, or debit card.
Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.
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!
This program does not focus on job preparation. While many of the skills you learn are foundational skills for a career in self-driving cars, the goal of the program is for you to master the core skills necessary so you can progress to the advanced curriculum. When you graduate, you earn guaranteed enrollment into our Self-Driving Car Engineer Nanodegree program. This program will fully prepare you for a career in the field. So, if you are new to the field of self-driving cars, then you can consider this a 2-stage path to career readiness.
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.
The Intro to Self-Driving Cars Nanodegree program is an intermediate program open to anyone with an interest in autonomous systems and some programming and/or quant background. The Self-Driving Car Engineer Nanodegree program is an advanced program focusing on in-depth knowledge of autonomous systems. The program requires an application and is designed for those with moderate to high programming, technical, and/or quant skills.
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
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.
The Intro to Self-Driving Cars nanodegree program is comprised of one (1) four (4)-month term. Students must complete the term and all five (5) projects to graduate from the Nanodegree program. Each project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.
For this Nanodegree program, you will need to the minimum equipment requirements outlined here: https://www.udacity.com/tech-requirements.
The following versions are taught in this program (subject to update):