Training

What our training covers

Hardware Deployment

Hands-on configuration and deployment of autonomous robotic systems — from NVIDIA compute provisioning and payload integration to full field-ready setup.

Software Training

Build intelligent systems end-to-end, covering ROS2 communication, computer vision, LLM integration, and AI-driven decision making on real robotic hardware.

Certification & Licensing

Regulatory-aligned preparation for Transport Canada Basic and Advanced RPAS certification, enabling operations across controlled and restricted airspace.

Why Aerobot Intelligence?

Air & Ground, Combined

Integrated curriculum covering multi-domain operations.

Real-World Mission Simulation

Field exercises replicating
complex industrial scenarios.

Experienced Trainers

Instruction from Tier-1
roboticists and field operators.

Courses

Autonomous AI System Development Course

A 10-day intensive program in edge AI, robotics, and intelligent autonomy

Develop expertise in autonomous robotics by combining edge AI, sensor fusion, 3D spatial mapping, autonomous navigation, computer vision, and natural language interaction. Through hands-on projects on a production-grade edge platform, participants build a complete autonomous agent capable of perceiving, navigating, reasoning, and interacting with its environment.

Program outcomes

GitHub Project Portfolio, RPAS Certification Preparation

Skill you'll gain:

NVIDIA Jetson, ROS 2, Sensor Fusion, LiDAR-Inertial SLAM, Autonomous Navigation, Computer Vision, Facial Recognition, Object Detection, Speech-to-Text, LLM Integration, AI Reasoning, Edge Computing

Duration:

10 Days

Level:

Advanced

Hardware:

Mobile robot platform with an NVIDIA Jetson edge computer, depth camera, and LiDAR sensor (specific models and sensor brands selectable to fit the deployment context)

Agenda

Mount and provision the Jetson edge computer, bring the robot's control layer online via its API and communication bridge, and integrate the depth camera and LiDAR with ROS 2 drivers. Includes environment validation, GitHub setup, configuration practice, and a real-world troubleshooting workshop.

Build accurate 3D maps using tightly-fused LiDAR-inertial SLAM, then convert them into navigation-ready occupancy grids. Tune the navigation stack and watch the robot plan and execute paths autonomously through the mapped environment.

Deploy accelerated vision pipelines on the edge: facial recognition with identity enrollment and allow/deny lists, and real-time object detection and tracking (YOLO family). Link both to robot behavior through the unified API.

Assemble the full microphone-to-action audio chain — wake-word detection, speech-to-text, and synthesis — then layer on an edge-deployed LLM that turns free-form language into multi-step robot commands.

Combine vision, voice, navigation, and control on a single edge computer, run an end-to-end demonstration scenario, and present a working system with a documented GitHub portfolio.

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Drone Pilot Training Program

Prepare for Basic and Advanced RPAS certification through Transport Canada exam preparation, ground school, and practical flight training. Learn drone operations, aviation regulations, safety procedures, photogrammetry, and LiDAR applications while gaining hands-on flight experience in the Vancouver area.

Program outcomes

Basic & Advanced RPAS Certification Preparation, Advanced Flight Review Readiness

Skill you'll gain:

Canadian Air Regulations, Airspace Management, Flight Planning, RPAS Operations, Photogrammetry, LiDAR Surveying, Safety Management

Duration:

5 Days

Level:

Beginner–Intermediate

Hardware:

Provided

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Free Introductory Course for Robotics and Drone Technology