Autonomous Systems Engineer Course
This course provides hands-on training in developing autonomous low-speed vehicles for campus environments, focusing on key technologies like sensor fusion, SLAM, motion planning, and testing methodologies to build safe and efficient autonomous systems.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
The Autonomous Systems Engineer Course equips you with practical skills to develop reliable low-speed campus vehicles, covering perception basics and sensor fusion, localisation, mapping, and world modelling. You will learn control strategies, motion planning, and behaviour design, followed by 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 & mapping: construct and maintain SLAM maps for campus-scale loops.
- Reliable detection & tracking: fuse LiDAR-camera data to track multiple moving objects.
- Safe motion planning: design rule-based, MPC, and social-aware campus trajectories.
- AV testing mastery: set up 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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