Study 10-15 hrs/week and complete in 4 mo.
Classroom opens 7 days after enrollment closes
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
“This is a no-nonsense introduction to one of the hottest topics on the planet. Enroll if you are ready to take the red pill, and learn all about self driving cars and how this new technology will shape our future.”— Sebastian Thrun, President, Udacity
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.
Content is extensive! loved it.
Although the Kalman Filter part is tough for me, the nanodegree is basically pretty well organized. The projects are good and focusing on different areas. (but you cannot expect too many in-depth explanations in it because it's just an introductory course) Perfect for taking the first step to the area of Self-Driving Car!
Very good introductory lessons
This program provides a solid foundation on self driving car engineering. It covers basics of subjects, concepts and tools that are applied in this interdisciplinary field. There is an excellent balance between theory and practice achieved through its well laid curriculum and practising platform. This will help you decide if self driving car engineering is your choice of career.
Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.
Admissions Closes: 06 March, 2019
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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.