AI for Aerospace & Drones (Global)
Deep specialization in AI for flight path optimization, satellite remote sensing, aircraft predictive maintenance, aerodynamic simulation, autonomous navigation & swarms, and space mission planning. Built for aerospace engineers and drone professionals in the US, UK, EU, and Australia.
"Plan a battery-constrained drone survey with FAA Part 107 / LAANC airspace compliance, validate CFD against NASA wind tunnel data, and build a conjunction assessment brief for the 18th Space Defense Squadron"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
AI for Flight Path Optimization
Optimized drone survey mission plan with airspace compliance under FAA Part 107 / LAANC (EASA Open/Specific in the EU)
- 2
Satellite & Remote Sensing AI
Crop health alert system with multi-source validation across Landsat, Sentinel (Copernicus), and Maxar data
- 3
Predictive Maintenance for Aircraft
Fleet health dashboard with maintenance recommendations, kept advisory to airworthiness per FAA/EASA Part-145
- 4
Aerodynamic Simulation with AI
CFD validation report for UAV airfoil selection, benchmarked to NASA/NACA wind-tunnel data
- 5
Autonomous Navigation & Swarms
Swarm contingency plan with sensor-fusion fallback and FAA BVLOS waiver compliance
- 6
Space Mission AI Applications
Mission status brief for ground control with debris conjunction assessment per 18th Space Defense Squadron / Space-Track data
Skills you'll practise
Practice data included
- Drone flight data (50 records)
- Airspace zones (30 FAA classes)
- Terrain elevation (200 points)
- Satellite metadata (30 images)
- NDVI readings (180+)
- Land-use classifications (50)
- Engine sensor data (600 readings)
- Fleet maintenance log (29 events)
- Component life limits (20 parts)
- Airfoil parameters (15 profiles)
- CFD results (5 scenarios)
- Wind tunnel data (NACA)
- Waypoint data (5 missions)
- Sensor fusion log (500)
- Swarm scenarios (4)
- Orbit parameters (10 NORAD)
- Telemetry data (90 packets)
- Debris catalog (30 objects)
- Launch window scenarios (4)
How this certificate is scored
Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.
- You answer 6 short questions, one for each module, in your own words (at least 40 words each).
- An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
- To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.
The rubric
- Module 1, AI for Flight Path Optimization: Optimized drone survey mission plan with airspace compliance under FAA Part 107 / LAANC (EASA Open/Specific in the EU).
- Module 2, Satellite & Remote Sensing AI: Crop health alert system with multi-source validation across Landsat, Sentinel (Copernicus), and Maxar data.
- Module 3, Predictive Maintenance for Aircraft: Fleet health dashboard with maintenance recommendations, kept advisory to airworthiness per FAA/EASA Part-145.
- Module 4, Aerodynamic Simulation with AI: CFD validation report for UAV airfoil selection, benchmarked to NASA/NACA wind-tunnel data.
- Module 5, Autonomous Navigation & Swarms: Swarm contingency plan with sensor-fusion fallback and FAA BVLOS waiver compliance.
- Module 6, Space Mission AI Applications: Mission status brief for ground control with debris conjunction assessment per 18th Space Defense Squadron / Space-Track data.
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
Everything you build
Download all your work as a ZIP file. It is yours to keep.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to start AI for Aerospace & Drones (Global)?
First course free. $20 per course after that.