At 10 hrs/week
Get access to classroom immediately on enrollment
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
from industry experts
Personal career coach and
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 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.
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.
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.
I failed to submit the first project on time due to some PC problems. Also, it took me a while to complete the tasks because I was really overthinking which I think I shouldn't have done. I kept on analyzing and thinking for possible solutions that would be very effective and that I might be able to use all the given parameters and that might use fewer lines of code. However in the review, it was said that I should not make the code complicated and better if I should have used 1 parameter only, in the review, he used "time" only. Over-all, the project was good and really made me analyzed. Thank you.
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!
I like this program, especially the well-designed projects which really deepen my understanding of those little obscure points. I feel fulfilled when I successfully pass the last project - traffic light classifier, and in the process of visualizing data, abstracting features and continuous improvement, I think I partly understand why we need CNN for this kind of computer vision work. Anyway, I gained a lot in this nano degree and give my sincere appreciation to this team in Udacity.
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.
Well, I think you read it already here http://www.pathtolevel5.com/intro-to-self-driving-cars/ or on Medium.com. :) It was an awesome journey and unfortunately it's already over - but after all the Self-Driving Car Engineer and Artificial Intelligence Nanodegrees are already waiting for me.. for some reason it's called life-long learning. ;) Keep up the good work!
Program helps in providing the basic understanding of self driving car. It can be a beginning point for software engineers and also for managers who are looking to understand the concepts. Not for novice a good amount of python and acquaintance with C or C++ is essential to match the pace required by the program... remember, you have to submit project too!
Numbers don't lie. See what difference it makes in career searches.*
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
Average salary increase for graduates who found a new, better job within six months of graduation.
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.
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 can enroll in the Self-Driving Car Engineer Nanodegree program, which will fully prepare you for a career in the field. If you are new to the field of self-driving cars, you can consider this a two-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 will be ready for the 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 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 content and curriculum to support eight (8) projects. We estimate that students can complete the program in four (4) months, working 10 hours per week.
Each project will be reviewed by the Udacity reviewer network. 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 for policies on enrollment in our programs.
For this Nanodegree program, you will need to have the minimum equipment requirements outlined here: https://www.udacity.com/tech-requirements.
The following versions are taught in this program (subject to update):