Time
2 Three-Month Terms
Study 15 hrs/week and complete in 6 mo.
Applications Due By
October 5, 2018
Prerequisites
Python, C++, Mathematics
Built in partnership with
Why Take This Nanodegree Program?
If your goal is to learn the skills necessary to become a self-driving car engineer, and then secure a rewarding role in the field where you can start applying those skills, this program is the ideal choice. The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world that both teaches you the right skills, and supports you in obtaining a job.
Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare for a successful career in the incredible field of autonomous systems.
A One-Of-A-Kind 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 everything you need to know to launch a successful career as a self-driving car engineer.
World-Class Curriculum
In this program, you’ll learn from the some of the most innovative companies in this field. Companies like Mercedes-Benz, NVIDIA, and more. Their teams are defining the future of autonomous transportation, and they helped us build this incredible curriculum.
Valuable Hiring Partnerships
Our hiring partners are some of the most forward-looking companies in the world, and they're looking for Udacity graduates to fill critical roles right now. These partnerships represent a unique opportunity to benefit from fast-tracked consideration for open roles at partner companies. This affords you a distinct leg up in your job searches.
Real-World Learning
In addition to the groundbreaking work you’ll do in simulation, you’ll have the opportunity to run your code on a real self-driving car!
Advance your Career
This program was built in collaboration with Self Driving Car engineers to ensure you learn the right skills necessary to succeed. Demand is skyrocketing and excitement is running high, but it’s important to see past the headlines to learn what it really takes to be a qualified Self Driving Car engineer. This program prioritizes mastering job-ready skills with a hands-on approach.Designed to prepare you for career success in Self Driving Car engineering.
Hiring PartnersMeet Top Companies
Self Driving Car engineers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.Create your portfolio and open up a world of opportunities.
Succeed with RecruitersSucceed with Recruiters
Work with experienced career professionals for tailored advice on how to improve your search and impress recruiters, including feedback on your LinkedIn, GitHub, and professional brand.Work with career professionals to impress recruiters.
Build a Great NetworkBuild a Great Network
40,000+ highly-skilled grads make up your new career community. Ready to collaborate, share referrals, or hire your own team? The Udacity Alumni Network is here for you!Connect with our global community to grow your career.
What You Will Learn
Download SyllabusTERM 1
Computer Vision, Deep Learning, and Sensor Fusion
See details
TERM 2
Localization, Path Planning, Control, and System Integration
See details
“There's an enormous market for self-driving car engineers. Lots and lots of companies that you wouldn't suspect have entered that field and are massively hiring.”— Sebastian Thrun, Udacity
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.
David Silver
Curriculum Lead
David Silver leads the Self-Driving Car Engineer Nanodegree Program. Before Udacity, David was a research engineer on the autonomous vehicle team at Ford. He has an MBA from Stanford, and a BSE in computer science from Princeton.
Ryan Keenan
Course Developer
Ryan has a PhD in Astrophysics and a passion for teaching and learning. He is also a lead instructor in the Robotics Nanodegree program. When he’s not building Udacious learning content you’ll find him up in the mountains or out in the surf.
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.
Mercedes-Benz
Mercedes-Benz Team
Mercedes-Benz R&D North America develops the world’s most advanced automotive technology and vehicle design with luxury and style. The team from Mercedes built our Sensor Fusion, Localization, and Path Planning content.
NVIDIA
Nvidia Team
NVIDIA is a company built upon great minds and groundbreaking research. GPU deep learning has ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Uber ATG
Uber ATG Team
The Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety.
Student Reviews
Top Reviews
(801)
5 stars
84.4%
4 stars
11.4%
3 stars
2.5%
2 stars
1.1%
1 stars
0.6%
Siddharth S.
It has been the best journey for me so far. The course has put me right into the middle of cutting edge research happening around the world. I am glad that I have had to go through this hardship because I am now certain of the work I would like to do in the future.
Volker v.
top
Eric T.
Really challenging course but you will learn a lot
Brook C.
As a CS PhD student from Purdue University, USA. I have to say, this class is so professional, helpful and beautiful. It changed my life, and then I will change the world. -- Brook Cheng
Mugdim B.
It was very exciting experience for me, with lot of practical examples of newest technologies like deep learning, particle filtering, model-based control. I would recommend it to everybody interesting in autonomous driving, robotics, machine vision or cars in general. Even experienced engineers can learn a lot. Lections are practice oriented with support from leading industrial companies and reviews are thorough with lot of sugestions for further learning.
Learn now, pay later
To make it even easier to learn, you can finance your Nanodegree through Affirm.
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Pay your monthly bill using a bank transfer, check, or debit card.
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Term 1
Self Driving Car Engineer Nanodegree
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Self Driving Car Engineer Nanodegree
Nanodegree Program
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Program Details
Why should I enroll?
The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world to both teach students how to become a self-driving car engineer, and support students in obtaining a job within the field of autonomous systems. The program’s nine projects equip students with invaluable skills across a wide array of critical topics, including deep learning, computer vision, sensor fusion, localization, controllers, vehicle kinematics, automotive hardware, and more. As part of their capstone project, students have the rare opportunity to run their code on an actual autonomous vehicle owned by Udacity.
What jobs will this program prepare me for?
Our wide-ranging curriculum will prepare you for a variety of roles in the autonomous vehicle industry, including: System Software Engineer, Deep Learning Engineer, Vehicle Software Engineer, Localization and Mapping Engineer and many others. If you elect to work outside of automotive engineering, your foundation in deep learning and robotics will enable you to fill any number of related roles in artificial intelligence, computer vision, machine learning, and more.
How do I know if this program is right for me?
This advanced Nanodegree program is ideal for anyone with a programming, technical, or quantitative background who is interested in obtaining a job within the field of autonomous systems, or refreshing or developing their skills within the realm of machine and deep learning, systems integration, sensor fusion, and many others.
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, who has some programming experience, and/or a quantitative 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 quantitative skills.
PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
Do I need to apply? What are the admission criteria?
Yes. To ensure your success in this advanced Self-Driving Car Engineer Nanodegree program, we require an application that will take a holistic look at your programming, technical, and quantitative background.
Why is there an admission application for this Nanodegree program?
We have an admissions process for certain Nanodegree programs where we need information about a student’s background experience in order to ensure the curriculum is appropriate for a student’s individual learning path. For more information on application processes, see here.
What are the prerequisites for enrollment?
Students should have prior experience with the following:
- Intermediate Python or C++
- Basic Linear Algebra
- Basic Calculus
- Basic Statistics
- Basic Physics
You will also need to be able to communicate fluently and professionally in written and spoken English.
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 Self-Driving Cars Nanodegree program, Robotics Software Engineer Nanodegree program, and AI for Robotics Course.
ENROLLMENT AND ADMISSION
How is this Nanodegree program structured?
The Self-Driving Car Engineer Nanodegree program is comprised of two (2) three (3)-month terms. Students must complete both terms and all nine (9) required projects to graduate from the Nanodegree program. 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 period noted in the Term length section above. See the Terms of Use and FAQs for other policies around 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 found here for policies on enrollment in our programs.
I have graduated from the Self-Driving Car Engineer Nanodegree program but I want to keep learning. Where should I go from here?
Once you have completed the Self-Driving Car Engineer Nanodegree program, the Robotics Software Engineer Nanodegree program and the Flying Car Nanodegree program are ideal for continuing your learning.
TUITION AND TERM OF PROGRAM
What software and versions will I need in this program?
For this Nanodegree program, you will need to 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