We teach applied AI for drones and UAV operations — aerial computer vision, inspection analytics, mission assist and GIS/photogrammetry insight — with airspace, privacy and human-in-the-loop constraints made explicit. Complements RIA’s Drone Engineering (airframe, electronics, flight control) rather than replacing it. This is not a DGCA Remote Pilot Certificate.
Domain Knowledge We Teach
- UAV mission types: inspection, mapping, agri, logistics literacy
- Sensors: RGB, thermal, multispectral, and telemetry basics
- Airspace, privacy, and DGCA awareness (not an RPTO licence)
- Ground-control, payload, and data-handoff workflows
- Where AI may assist vs where a remote pilot / operator decides
AI Skills You Will Learn
- Aerial object, defect, and change detection on UAV imagery
- Orthomosaic / photogrammetry analytics literacy
- Detect-and-avoid and geofence-assist concepts
- Mission-planning copilots with human approval
- Telemetry anomaly and fleet-health scoring patterns
Hands-on Outcomes
- Build an inspection or mapping vision workflow on sample flights
- Prototype a defect / object dashboard from aerial stills or video
- Document airspace, privacy, and intended-use limits
- Design a human-in-the-loop mission-review checklist
- Present an AI-in-drones case study (agri, infra, or public-safety assist)