Udacity Flying Car and Autonomous Flight Engineer Nanodegree Review (2026)
Last updated: May 2026. Written by Josh Hutcheson. See our review methodology.
By Josh Hutcheson · E-Learning Specialist
Reviewing online learning platforms since 2019. Review methodology
The 60-second verdict: The Udacity Flying Car and Autonomous Flight Engineer Nanodegree (nd787) is an Advanced-level program covering the unique engineering challenges of autonomous aerial vehicles — aerodynamics, motion planning in 3D, controllers for aerial systems, autonomous flight estimation. Niche but Udacity-exclusive content. Best for: robotics engineers entering aerial autonomy, aerospace engineers learning AV/AI, hobbyists targeting eVTOL or autonomous drone careers.
Our rating: 4.5/5 | Cost: $399/mo | Level: Advanced | Enroll →
What is the Flying Car Nanodegree?
This is one of Udacity’s most distinctive programs — you won’t find equivalent depth on Coursera or edX. The curriculum was developed in partnership with industry leaders working on autonomous aerial vehicles (eVTOL companies like Joby, Lilium, autonomous drone makers, and aerospace primes). The program covers the unique 3D motion planning, control, and estimation challenges that aerial autonomy introduces beyond ground vehicles.
Curriculum overview
Module 1: Aerial Robotics
Quadrotor dynamics, motion in 3D, path planning algorithms (A*, RRT*) extended to airspace, controllers for aerial vehicles.
Module 2: Estimation
Sensor fusion for aerial systems, GPS + IMU + altimeter integration, Kalman filters and Extended Kalman Filters for 3D state estimation.
Module 3: Flight Software Engineering
Real-time control system design, avionics safety patterns, redundancy and failover, integrating perception with control loops.
Module 4: Capstone
Build a complete autonomous flight stack — perception → planning → control → simulation, with safety considerations throughout.
Prerequisites
- Solid Python + C++ programming.
- Linear algebra, calculus, basic control theory.
- Self-Driving Car Engineer Nanodegree or equivalent autonomy background helpful.
- Aerospace engineering background NOT required (the program teaches what you need).
Pros
- Genuinely unique curriculum — nowhere else online offers this depth.
- Industry-aligned with eVTOL and autonomous drone job market.
- Capstone project is portfolio gold for AV/aerospace roles.
- Strong control theory + estimation content transfers to ground robotics too.
Cons
- Niche job market — eVTOL and autonomous drone companies are growing but smaller than ground AV.
- Steep prerequisites; not for beginners.
- $399/month is steep for niche content.
Who should take this
Take it if: robotics engineer expanding into aerial systems, aerospace engineer adding ML/AV to your skillset, drone hobbyist serious about autonomy careers. Skip if: general ML/AV career goals (use Self Driving Car Engineer for broader market), or beginner.
FAQ
What jobs can I get?
Flight Software Engineer, Autonomous Systems Engineer, Robotics Engineer (aerial), eVTOL Engineer. Median: $130K-$200K + equity at high-growth eVTOL companies.
Is the eVTOL job market real?
Yes — major eVTOL companies (Joby, Archer, Wisk, Lilium) are hiring autonomous flight engineers. Defense (Anduril, Shield AI) is also active in autonomous drones.
Final verdict: 4.5/5
Highly specialized but excellent program. Udacity’s competitive moat — no other online platform teaches this depth. Best for committed engineers entering autonomous aerial systems.
Related: Udacity Self Driving Car Engineer · Udacity Sensor Fusion · Udacity Robotics