Udacity is the only place to offer this kind of opportunity. We have partnered with the best companies in the field to offer world-class curriculum, expert instructors, and exclusive hiring opportunities. Almost any student anywhere in the world with an internet connection can study to become a self-driving car engineer at Udacity. You'll even build and run code on an actual autonomous vehicle that is owned by Udacity.
The program will cover topics including deep learning, computer vision, sensor fusion, localization, controllers, vehicle kinematics, automotive hardware, and more. You can read a more in-depth overview of the curriculum here.
Udacity is developing the Self-Driving Car Engineer Nanodegree program in close partnership with leading experts in the autonomous vehicle industry, including Mercedes-Benz, Nvidia and Otto.
With curriculum covering topics such as deep learning, computer vision, sensor fusion, localization, control, path planning, and automotive hardware, program graduates will be uniquely prepared for a wide variety of roles in the autonomous vehicle industry.
These include System Software Engineer, Deep Learning Engineer, Vehicle Software Engineer, Localization and Mapping Engineer, Autonomous Driving Engineer, Autopilot Engineer, Sensor Fusion Engineer, Visual Perception Engineer, Machine Learning Engineer, and Motion Planning Engineer.
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 other industries, including: Robotics Software Engineer, Prediction Engineer, Computer Vision Engineer, IoT Engineer, and Automation Engineer. For market salary details, please visit the Paysa module on the Nanodegree home page.
Our global hiring partners provide Udacity students from all over the world direct and preferential exposure to new jobs. We work directly with recruiters and hiring managers at each company to get our students fast-tracked into open opportunities. Students are evaluated for these positions based on skills, experience, and the projects showcased in their unique Udacity portfolios.
Hiring partnerships don’t guarantee you get hired, but they do ensure you get the direct exposure and exclusive opportunity to demonstrate why you’re the right one for the job. Plus, Udacity supports you every step of the way, so you can proceed with confidence, knowing you’re always putting your best foot forward.
Given the specialized nature of this curriculum, we need to ensure that all enrolled students have the required knowledge, skills, and experience in advance. This process allows us to assess each applicant's qualifications, and either accept you to the program, or make recommendations for courses that will help you meet the prerequisites in the future.
Applicants must have previous online or offline coursework in the relevant fields of Probability, Statistics, Machine Learning, and Python programming. Also, you must have intermediate Python programming experience. Further information about the program and its prerequisites can be found here.
Lastly, since this will be a difficult program, we will also be looking for students who are motivated, hard-working, and committed to graduating. We will do our best to assess these factors based on the questions we have in our applications.
Applications for the January term will close on December 12. Selected applicants will be notified the first week of January via email with a link to additional enrollment details and payment information. Students will have until January 16 to enroll and submit their payment.
We will open applications for the February 2017 term on December 13 and will accept applications until January 16. Selected applicants will be notified on January 30 via email with a link to additional enrollment details and payment information. Students will have until February 13 to enroll and submit their payment.
Each term will have approximately 1500 students.
We have a number of courses and programs we can recommend, depending on the areas you need to address.
That will depend on the reasons why you were not accepted. Our expectation is that the most common reason will be skills and experience gaps in an applicant’s background, so the best path forward will be to study in those areas, to ensure you’re able to meet the requirements during the next application period. If you are not accepted for the current round of admissions, you are eligible to apply again for the next round.
What you can do:
What you cannot do:
While there is some overlap between this curriculum and other Nanodegree programs (Machine Learning, for example), none of the unique Self-Driving Car Engineer program content will be available outside of the Nanodegree program at the current time.
We are not offering Nanodegree Plus for this program. However, our global hiring partners—which include Didi Chuxing, Mercedes-Benz, Nvidia, and Otto—provide Udacity students direct and preferential exposure to new jobs. We work directly with recruiters and hiring managers at each company to get our students fast-tracked into open opportunities. You can read more about our full list of hiring partners here.
Due to the singular nature of—and requirements for—this curriculum, we will not be supporting Connect sessions for the Self-Driving Car Engineer Nanodegree program. While students of this program are of course welcome to attend Connect sessions, we will not be able to provide curriculum support at the sessions, nor will there be session leads onsite who are equipped to provide specific program guidance and input.
The fixed-term nature of the program, and the need for maintaining a consistent and stable student body throughout, precludes offering the option to pause your studies.
It is not. This is a unique, three-term program that requires students to keep pace with their peers throughout the duration of the program.
Between instructional content, quizzes, projects, and other course-related activity, we estimate that investing 10 hours/week will enable you to proceed through the program at a successful pace.
The program is online, and students interact with peers, mentors, coaches, and instructors in our virtual classrooms, in forums, on slack, and via 1:1 meetings. We also host live online chats with industry leaders, hiring partners, instructors, and other key influencers in the self-driving car space.
There are very occasionally scheduled opportunities for program enrollees to connect in-person at meet-ups, conferences, group study sessions, and other events, but these occasions are the exception, not the norm, and they are not part of the program curriculum.
Students who complete their term by the deadline will have access to that term’s material indefinitely.
Content will be available on the Udacity app in early 2017.
When we use the term "deadline" with regards to Nanodegree program projects, we use it in one of two ways:
A final deadline for passing all projects
Ongoing suggested deadlines for individual projects
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.
Passing a project in this context means that a Udacity Reviewer has marked your project as "Meets Specifications." In order to graduate a term, you have to pass all projects by the last day of the term.
If you do not pass all projects by the last day of the term, the following happens:
You will not be eligible for career services, events with hiring partners, and other career–related activities.
You are relocated one class back, and will not graduate with your current class. You will only be moved back a class a maximum of once. If you fail to meet the deadline requirements second time, you will be disenrolled from the program.
The deadlines you see in your classroom are suggestions for when you should ideally pass each project. They are meant to help keep you on track so that you maintain an appropriate pace throughout the program–one that will see you graduate on time!
Please note that you can submit your project as many times as you need to. There are no penalties if you miss these deadlines. However, you will be at risk of not passing all projects on time if you miss these deadlines, and fall behind, so it is a recommended best practice to try and meet each suggested deadline.
The Nanodegree program costs $800 per term with each term being three months long.
The entire Nanodegree program is comprised of three terms, and takes nine months to complete.
Given the specialized curriculum of the Self-Driving Car Nanodegree program—and the resources required to provide this kind of educational opportunity—it is critical that we know exactly how many students we’ll be supporting and teaching. It’s important that this student body remains consistent and stable throughout the duration of the program as they work together as a group.
There is no free trial period for this program.
Self-Driving Car Engineer Nanodegree program graduates are not eligible to receive this tuition refund upon completion of their studies.
Scholarship opportunities change on an ongoing basis. If you have a question about a specific scholarship program, please contact firstname.lastname@example.org.
Full eligibility and selection criteria are listed under the Scholarships section at https://www.udacity.com/legal/specialterms.