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Flying Car and Autonomous Flight Engineer


Udacity

Summary

Price
Save 51%
£590 inc VAT (was £1,192)
Offer ends 22 February 2020
Study method
Online, self-paced
Duration
4 Months
Qualification
No formal qualification
Additional info
  • Tutor is available to students

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Overview

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!

Description

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.

Who is this course for?

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.

Requirements

  • Substantial experience programming in any language
  • Intermediate-level programming experience in Python or willingness to learn
  • Intermediate-level programming experience in C++ or willingness to learn (including knowledge of memory allocation, classes, and references)
  • Basic Linear algebra
  • Calculus (derivatives and integrals)
  • Probability and statistics (mean, variance, and probability distributions)
  • Basic Physics (basic mechanics including knowledge of kinematics, dynamics, and torque)
  • Students will need to be able to communicate fluently and professionally in written and spoken English.

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