千亿体育app

Nanodegree Program

Flying Car and Autonomous Flight Engineer

Master autonomous flight software engineering skills as you build your career in flying cars and drone robotics.

  • Estimated Time
    4 Months

    At 15 hrs/week

  • Enroll by
    March 24, 2020

    Get access to classroom immediately on enrollment

  • Prerequisites
    Mathematics & Programming

    See prerequisites in detail

What You Will Learn

Download Syllabus
Syllabus

Flying Car Curriculum

You’ll learn the core concepts required to design and develop robots that fly. You’ll work with the quadrotor test platform and our custom flight simulator to implement planning, control, and estimation solutions.

Work with the quadrotor test platform and our custom flight simulator to implement planning, control, and estimation solutions.

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千亿体育app Estimated 4 Months to complete

Prerequisite Knowledge

Here is a list of prerequisites and recommendations to help prepare you for the program curriculum.See detailed requirements.

  • Introduction

    Learn about our quadrotor test platform, work in our custom simulator, and build your first project—getting a quadrotor to take-off and fly around a backyard!

    Backyard Flyer
  • 3D Motion Planning

    Optimize 2D solutions using waypoints, then scale solutions to 3D problems. Apply these skills by autonomously navigating your drone through a dense urban environment.

    3D Motion Planning
  • Controls

    千亿体育appMoving a flying vehicle requires determining appropriate low-level motor controls. Here, you’ll build a nonlinear cascaded controller for your drone system.

    Building a Controller
  • Estimation

    千亿体育appUtilize sensor fusion and filtering. Design an Extended Kalman Filter (EKF) to estimate attitude and position from IMU and GPS data of a flying robot.

    Estimation
  • [Optional] Fixed-Wing Aircraft

    千亿体育appLearn the dynamics of fixed-wing flight and apply what you’ve learned by writing code to control a fixed-wing aircraft in simulation.

    Fixed-Wing Control
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Flying cars will return 8 billion valuable commuter hours to U.S. drivers!

All Our Programs Include

Real-world projects千亿体育app 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.

Technical mentor support

Our knowledgeable mentors guide your learning and are 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.
Program OfferingsFull list of offerings included:
Enrollment includes:
Class content
Real-world projects
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Project reviews
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Project feedback from experienced reviewers
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Technical mentor support
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Personal career coaching
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Github review
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Succeed with Personalized 千亿体育app
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Technical Mentor Support
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 千亿体育app
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Succeed with Personalized 千亿体育app
We provide services customized for your needs at every step of your learning journey to ensure your success!
Project Reviewers
Technical Mentor Support
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 千亿体育app
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve

Learn with the Best

Nicholas Roy
Nicholas Roy

Instructor

千亿体育appNicholas Roy is a Professor in the Department of Aeronautics & Astronautics, and a member of the Computer Science and Artificial Intelligence Laboratory, at MIT. He also founded Project Wing at X.

Angela Schoellig
Angela Schoellig

Instructor

千亿体育appAngela is an Assistant Professor at the University of Toronto Institute for Aerospace Studies (UTIAS), and an Associate Director of the Center for Aerial Robotics Research and Education (CARRE) at the University of Toronto.

Sebastian Thrun
Sebastian Thrun

Instructor

千亿体育appAs the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

Raffaello D’Andrea
Raffaello D’Andrea

Instructor

千亿体育appRaffaello is a Professor of Dynamic Systems and Control at the Swiss Federal Institute of Technology (ETH) in Zurich. He is also the founder of Verity Studios, and a co-founder of Kiva Systems (now Amazon Robotics).

Sergei Lupashin
Sergei Lupashin

Instructor

Sergei has a PhD in MechE from ETH Zurich and a BS in ECE from Cornell. He brings experience from projects such as industrial drones, self-driving cars and controls testbeds. He is a TED Fellow and founder of Fotokite.

Jake Lussier
Jake Lussier

Product Lead

Jake is a PhD Candidate in AI at Stanford University focused on robotics, perception, and human-centered design. Prior to serving as Product Lead at Udacity, he founded an early-stage food-technology startup and consulted on flying cars.

Andy Brown
Andy Brown

Curriculum Lead

千亿体育appAndy 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.

Student Reviews

4.5

(102)

Chris K.

千亿体育appWhile I didn't know what to expect from this program being targeted to such an out-of-this-world concept (flying cars). It very nicely integrated the concepts of flying cares into drones - an everyday vehicle that anyone can gain access to. The content was first class, teaching some extremely advanced concepts that are only taught at the best universities in a easily comprehendible manner. Each lesson is broken down well into it's roots to build on top of. Overall another fine course by Udacity!!

Raoul N.

This program is by far the best online course I have taken so far. It was very well put together by the Udacity team. The lessons are well thought and easily understood. The projects in this lesson are particularly very stimulating, and provide the right amount of challenges that keep you engaged, but which are surmountable. Furthermore, one does not need to be an expert programmer to be able to complete the projects.

Joseph D.

千亿体育appOne very clear outcome is that I feel a lot more comfortable in airplanes now I know how much work goes unto making them safe and comfortable. I secured admission into a team contesting for the Boeing Gofly competition, which is a dream come true. My math is much better too and it's helping me to be more productive in my other assignments. I'm very happy and grateful. You guys rock!

Andrija E.

It's hard and above my level of comfort but I am trying But at the same time it is top stuff, totaly practical. It is making me go back to school and university days and try to remember math and programming stuff. If I survive I am going to have new circuit opened in my brain.

James B.

Thusfar, I rather enjoy the course, despite only being one project in; however, I do believe that the course should be named "Autonomous Aerial Engineer ND" rather than "Flying Car ND", as such sounds much more professional and is closer to the reality of the course.

Jason S.

The content is a lot to take in. Information is presented to us at lighting speed, which is good, it'll just take repetition to be able to regurgitate it at the level we are consuming it. Very professional and in-depth set of knowledge in the Flying Car Program.

Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?

    The emerging generation of flying car engineers will reimagine how we move and transform how we live. The Flying Car Nanodegree program will prepare you to be at the forefront of this technological and societal revolution.

    In this program, you’ll learn from world-class experts, work with cutting-edge tools, and tackle real-world challenges. You’ll master techniques in planning, controls, and estimation. Most importantly, you will learn by doing, writing aircraft-ready code that you can run on your own drones.

    If you’re interested in flying cars, drones, autonomous systems, and/or the future of smart transportation, this Nanodegree program is for you!

  • What jobs will this program prepare me for?

    千亿体育appAs a graduate of the world’s first flying car engineering program, you will be prepared for positions pertaining to aerial robotics, autonomy and mobility. Job titles in this industry vary, but include: Unmanned Aircraft Software Engineer, Software and Controls Engineer, Guidance Navigation and Controls (GNC) Engineer, Aerial Roboticist, and more.

    With experience architecting sophisticated yet safe autonomous systems, you will also be prepared for jobs far beyond aerial systems, including: Autonomous Driving Engineer, Autopilot Engineer, Robotics Software Engineer, IoT Engineer, and more.

  • How do I know if this program is right for me?

    千亿体育appThis Nanodegree program is an advanced specialized program in aerial vehicles—transformational technologies that are reshaping our future and driving amazing new innovations. If you are interested in developing the skills to build an autonomous aircraft system, and excited by the opportunity to port your code to real drones, this is the perfect way to get started.

  • What is the difference between the Flying Car Nanodegree program and the Self-Driving Car Engineer Nanodegree program or the Robotics Software Engineer Nanodegree program?

    The Flying Car Nanodegree program is a specialized program for aerial vehicles. The focus will be on developing the skills to build an autonomous aircraft system, with a focus on quadrotors. This means a unique emphasis on planning and autonomy for three-dimensional mobility, involving hands-on projects in simulation, with the opportunity to port your code to real drones.

    The Robotics Software Engineer Nanodegree program provides an introduction to software and artificial intelligence as applied to robotics. The areas we focus on are perception, localization, path planning, deep learning, reinforcement learning, and control. These are taught using the Robot Operating System (ROS) framework. All of the techniques required to complete the projects in the Robotics Software Engineer Nanodegree program (including machine learning) are taught as part of the program.

    The Self-Driving Car Engineer Nanodegree program focuses entirely on a specialized application of robotics—it uses robotics concepts and applies them to a self-driving car. If your primary interest is in the application of robotics, machine learning, and artificial intelligence to self-driving cars, then this is the program for you. However, if you want a broader and more comprehensive robotics curriculum, with an emphasis on software engineering, then the Robotics Software Engineer Nanodegree program is your best option.

    TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?

    千亿体育appThe Flying Car Nanodegree program is comprised of content and curriculum to support five (5) 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千亿体育app and 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 Program for policies on enrollment in our programs.

  • I have graduated from the Flying Car Nanodegree program but I want to keep learning. Where should I go from here?

    Once you have completed the Flying Car Nanodegree program, the Self-Driving Car Engineer Nanodegree program and the Robotics Software Engineer Nanodegree program are ideal for continuing your learning.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?

    For the Flying Car Nanodegree Program, the minimum computational requirements are

    • 4GB RAM
    • Quad-Core i5 processor or equivalent
    • 50GB free HDD space
    • WiFi capability (802.11x)

    千亿体育appWe also recommend that you obtain Bitcraze’s Crazyflie STEM drone bundle which you can port your code to, but it is not required.

Flying Car and Autonomous Flight Engineer Nanodegree

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