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.
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  • DAYS
  • HRS
  • MIN
  • SEC
  • Estimated Time
    4 Months

    At 15 hrs/week

  • Enroll by
    September 29, 2021

    Get access to classroom immediately on enrollment

  • Prerequisites
    Mathematics & Programming

What You Will Learn

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.

Related Nanodegrees
Prerequisite Knowledge

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

  • 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!

  • 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.

  • Controls

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

  • Estimation

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

  • [Optional] Fixed-Wing Aircraft

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

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Flying cars will return 8 billion valuable commuter hours to U.S. drivers!

All Our Programs Include

Real-world projects from industry experts

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.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Career Services

Career services

You’ll have access to resume support, Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program

Flexible learning program

Tailor a learning plan that fits 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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Student Services
Technical mentor support
New
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Student community
Improved
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Career services
Resume support
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Github review
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Linkedin profile optimization
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Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Get timely feedback on your projects
Reviews By the numbers
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours 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
Mentors available to answer your questions
Mentors by the numbers
1,400+ technical mentors
0.85 hours median response time
Mentorship Services
  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors

Learn with the Best

Nicholas Roy
Nicholas Roy

Instructor

Nicholas 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

Angela 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

As 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

Raffaello 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

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.

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Flying Car and Autonomous Flight Engineer Nanodegree

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    Best Value
  • Learn

    Apply controls, estimation, and planning methods to autonomously navigate a quadrotor.
  • Average Time

    On average, successful students take 6 months to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support
    • Career services

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?
    As 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?
    This 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.
ENROLLMENT AND ADMISSION
TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?
    The 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 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 Program Terms of Use and FAQs 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)

    We 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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