Autonomous Systems Engineer Course
This course provides hands-on training in building reliable low-speed autonomous vehicles for campus environments, from sensor integration and perception to advanced control, planning, simulation, and validation for safe deployment.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Autonomous Systems Engineer Course equips you with practical skills to construct dependable low-speed vehicles for campus use, covering basics of perception and sensor fusion, up to localisation, mapping, and world modelling. You will learn control strategies, motion planning, and behaviour design, then gain expertise in simulation, testing, and validation to deploy safer, more robust autonomous systems confidently and efficiently.
Elevify advantages
Develop skills
- Autonomous perception setup: quickly calibrate, synchronise, and preprocess multi-sensor data.
- Robust localisation and mapping: construct and maintain SLAM maps for campus-scale loops.
- Reliable detection and 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 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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