Intro to Self-Driving Car
Your Self-Driving Car Future Starts Here!
ENROLLMENT CLOSING IN
7 days refund, no questions asked
Study 10-15 hrs/week and complete in 4 mo.
Self-driving cars mark the biggest change to the automotive industry in the last 100 years. Every major car company is applying this technology and looking to hire talented individuals. This program introduces you to the basic concepts needed for engineering autonomous vehicles. Our program is your first step into this exciting world!
Get started with this Foundation Nanodegree Program to prepare for a career-ready Nanodegree Program
Self-driving cars are taking the world by storm and this is your chance to get involved! Learn the fundamentals and start your journey to becoming 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.
Upon completion of Intro to Self-Driving Cars, you will get guaranteed acceptance to our Self-Driving Car, Robotics, or Flight Nanodegree programs.
Instead of learning passively by watching lecture videos, we believe learning by doing will help you comprehend topics much better. Multiple quizzes and exercises are available to help you learn the concepts.
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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
Scientist, educator, inventor, and entrepreneur, Sebastian led the self driving car project at Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.
Andy is a lover of all things teaching and learning. He has a bachelor's degree in physics from MIT, taught himself to program after college (mostly with Udacity courses), and 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.
Engineer and opera singer, Andrew is excited to teach the technology of the future. With an engineering degree from Yale and years of tutoring experience, he hopes to provide you the most fulfilling learning experience possible.
Anthony is a US Army combat veteran with a MS in Computer Engineering from Colorado State University. He is the Product Lead at Udacity for our Robotics and Self-Driving Car programs. He has a love for technology and learning!
Engineer, Author, Host
Elecia is an embedded software engineer at Logical Elegance, Inc, 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!
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Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.
Admissions Closes: 12 September, 2018
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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:
Nothing is required to complete the program except for a model of computer capable of running our programs, and an adequate internet connection. The minimum computational prerequisite requirements for this Nanodegree program are the following:
When we use the term "deadline" with regards to Nanodegree Program projects, we use it in one of two ways:
It is very important to understand the distinctions between the two, as your progress in the program is measured against the deadlines we've established. Please see below for an explanation of what each usage means.