Autonomous Systems Engineer Course
This course equips engineers with hands-on expertise in developing reliable low-speed autonomous vehicles for campus environments, from sensor integration and mapping to advanced planning and rigorous testing.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Autonomous Systems Engineer Course provides practical skills to construct reliable low-speed campus vehicles, covering perception basics and sensor fusion to localization, mapping, and world modeling. You will learn control strategies, motion planning, and behavior design, then gain expertise in simulation, testing, and validation to 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 localization & 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 are saying
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