Duration: –3 Days
Location: Project Gecko HQ, North Germany.
Audience: Law Enforcement & Military Units
Focus: Room Clearing with Tactical Drone Integration
Dates:
Start on Mon, Feb 9, 2026 at 8:00 AM.
End on Wed, Feb 11, 2026 at 11:00 PM.
REGISTRATION WILL BE OPEN IN NOVEMVBER 2025.
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Course Description:
This course is designed for teams who are interested in exploring solutions related to structure interior work with drones, and are interested to integrate drones into their tactical clearing procedures. Whether conducting dynamic entries or deliberate defensive clears, the Drone-ITCQB course provides a practical and realistic framework for the operational use of drones inside structures—not as a separate specialty, but as an organic extension of the team’s capabilities and in particularly within the baseline of ITCQB.
Unlike traditional drone training, this course is not specifically technology-driven. Instead, it emphasizes tactical integration, showing how drones can support CQB efforts by providing real-time reconnaissance, threat identification, and support to entry teams without breaking momentum or compromising safety.
Course Structure:
Day 1: Tactical Drone Deployment
The use of the drone in traditional CQB settings
Use cases
Deployment procedures
Tactical Flight control
Roles and responsibilities of the drone operator in a CQB team
Live drone flying drills inside urban structures
Day 2–3: Drone-Integrated CQB Scenarios
TTPs for drone clearance with the team around open doors
Corridors / depth priorities of flight
TTPs for drone and team work around close doors
Communication, timing, and sectoring between operators and drone pilots
After-action reviews and performance breakdowns
Key Learning Objectives:
Understand how to deploy and fly a drone tactically in confined indoor spaces
Develop seamless team-based TTPs that incorporate drone intel into CQB decision-making
Improve speed, safety, and situational awareness during structure clearance
Learn to operate under realistic constraints, such as degraded visibility, time pressure, and structural complexity