Estimated Time
4 Months
At 10 hrs/week
Enroll by
December 24, 2019
Get access to classroom immediately on enrollment
Prerequisites
Programming & Mathematics
What You Will Learn
Download SyllabusSyllabus
Intro to Self-Driving Cars
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Prerequisite Knowledge
You should be comfortable reading and modifying code. You should also be comfortable with basic algebra.See detailed requirements.
Bayesian Thinking
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 PythonWorking with Matrices
This course will focus on two tools which are vital to self-driving car engineers: object oriented programming and linear algebra.
Implement a Matrix ClassC++ Basics
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++Performance Programming in 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++Navigating Complex Data Structures
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 PathVisualizing Calculus and Controls
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 VisualizerMachine Learning and Computer Vision
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
All Our Nanodegree Programs Include
Real-world projects from industry experts
With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
1-on-1 technical mentor
Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.
Personal career coach and career services
You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program
Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Individual 1-on-1 Mentorship
Personal Career Coach
Get personalized feedback on your projects
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Project Reviewers
1-on-1 Mentors
Career Coaching
Get personalized feedback on your projects
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
Learn with the best
Sebastian Thrun
Udacity President
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 Brown
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.
Cezanne Camacho
Course Developer
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 Paster
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.
Anthony Navarro
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.
Elecia White
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.
Tarin Ziyaee
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.
Student Reviews
(268)
Matthew D.
so far as a more experienced developer with a computer science major and a mathematics minor it hasn't hit on anything really new, it was nice to refresh on python though. but I imagine once I get through more of the course I can understand better how each part of the machine works together.
Nived S.
Until now like the program structure, some of the topics are bit elementary but again it is Intro Course; so looking forward to it becoming more challenging in the future.
Ashwitha K.
Yes
Steve R.
I'm really enjoying this course.
Manish J.
Very good content. Should provide a good foundation for the SDND. Sebastian's course on Bayes theorem, localization and Kalman filters were a delight; so were Peter Norvig's on Path Planning. Need more programming concepts in the course material; so that the transition from courses to projects is gradual (seamless) and not a leap.
Kathrin Gabriele T.
I really enjoy the video learning and hands-on exercises and industry real projects, they helped me on getting a better job! I will start my new job role on December 1st, 2019, thanks Udacity! I will continue with the next more advanced nanodegree of self-driving car engineer.
The Udacity Impact
Numbers don't lie. See what difference it makes in career searches.*
84%
Better Jobs
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
$24,000
Salary Increase
Average salary increase for graduates who found a new, better job within six months of graduation.
Related Nanodegree Programs
Program Details
Why should I enroll?
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.
What jobs will this program prepare me for?
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.
How do I know if this program is right for me?
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.
What is the difference between the Intro to Self-Driving Cars Nanodegree program and the Self-Driving Car Engineer Nanodegree program?
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.
PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
Do I need to apply? What are the admission criteria?
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
What are the prerequisites for enrollment?
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 I do not meet the requirements to enroll, what should I do?
We have a number of Nanodegree programs and free courses that can help you prepare, including: Intro to Computer Science, Programming Foundations with Python, Linear Algebra Refresher, Intro to Programming Nanodegree Program.
ENROLLMENT AND ADMISSION
How is this Nanodegree program structured?
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.
How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
Can I switch my start date? Can I get a refund?
Please see the Udacity Nanodegree program FAQs for policies on enrollment in our programs.
I have graduated from the Intro to Self-Driving Cars nanodegree program but I want to keep learning. Where should I go from here?
Students who graduate from the Intro to Self-Driving Cars nanodegree program should consider the Self-Driving Car Engineer, Robotics Software Engineer, or Flying Car nanodegree programs.
TUITION AND TERM OF PROGRAM
What software and versions will I need in this program?
For this Nanodegree program, you will need to have the minimum equipment requirements outlined here: https://www.udacity.com/tech-requirements.
Which version of TensorFlow, Keras, ROS, and C++ are taught in this program?
The following versions are taught in this program (subject to update):
- TensorFlow Version 1.3
- Keras version 2
- ROS Kinetic
- Python Version 3
- C++ Version 11