Autonomous Systems Engineer Course
This course equips engineers with hands-on expertise in developing autonomous low-speed vehicles for campus environments, covering the full pipeline from sensor integration and perception to planning, simulation, and validation for safe and efficient deployment.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Autonomous Systems Engineer Course provides practical skills to build reliable low-speed campus vehicles, from perception fundamentals and sensor fusion to localisation, mapping, and world modelling. Learn control strategies, motion planning, and behaviour design, then master simulation, testing, and validation so you can deploy safer, more robust autonomous systems with confidence and efficiency.
Elevify advantages
Develop skills
- Autonomous perception setup: rapidly calibrate, sync, and preprocess multi-sensor data.
- Robust localisation & mapping: build and maintain SLAM maps for campus-scale loops.
- Reliable detection & tracking: fuse LiDAR-camera data to follow multiple moving objects.
- Safe motion planning: design rule-based, MPC, and social-aware campus trajectories.
- AV testing mastery: configure simulators, HIL tests, and CI for autonomous stacks.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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