Why Take This Nanodegree Program?
In this program, you’ll learn from world-class experts and write aircraft-ready code. You’ll master controls, planning, estimation, and more. In an increasingly congested world, flying cars look to the skies to provide smart transportation solutions that benefit us all.
World-Class Instructors
Learn from instructors who are leaders in this transformational field. Work with the pioneering thinkers who are actively creating the next-generation of autonomous flight systems.
Cutting-Edge Tools
Work with Udacity’s custom-built flight simulator, and benefit from personalized guidance as you port your code to actual drones and contribute to open source projects.
Groundbreaking Curriculum
Master cutting-edge skills in controls, planning, and more. Start writing your own code to solve the real-world problems experts in the field grapple with daily.
A One-Of-A-Kind Program
Sebastian Thrun and the Udacity Flying 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 flying car and autonomous flight engineer.
What You Will Learn
Download SyllabusSyllabus
Flying Car Curriculum
See fewer details
Prerequisite Knowledge
To optimize your chances for a successful application to our Flying Car Nanodegree program, we’ve created 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 Flyer3D 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 PlanningControls
Moving a flying vehicle requires determining appropriate low-level motor controls. Here, you’ll build a nonlinear cascaded controller for your drone system.
Building a ControllerEstimation
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.
Estimation[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.
Fixed-Wing Control
“Flying Cars and drones are the future of transportation, and they will massively change the world. Autonomous systems are the key to this future. Graduates will be immediately qualified to work in, and shape, this incredible field.”— Sebastian Thrun
Learn with the best
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
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
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
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
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
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
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.
Student Reviews
Top Reviews
(79)
5 stars
70.9%
4 stars
12.7%
3 stars
3.8%
2 stars
3.8%
1 stars
8.9%
Emmanuel I.K E.
It exceeded my imagination. I acquired really advanced and immediately practical knowledge.
Vlad S.
Unfortunately I didn't have enough time to finish program (because of my personal issues) But it was useful and interesting!
srijit g.
Challenging ,yes i learnt a lot.Great platform to learn new technologies.
Wang L.
great
Irving V.
Excelente programa, pude aprender desde el funcionamiento dinámico del dron hasta el control y seguimiento de trayectorias planificadas por un RRT.
Term
Flying Car and Autonomous Flight Engineer Nanodegree
$1199 USD
total
Apply controls, estimation, and planning methods to autonomously navigate a quadrotor.
