Foundations of Artificial Intelligence
Build a practical foundation in AI concepts, model thinking, and intelligent system design for autonomy-focused applications.
Course catalogue
Browse structured learning across perception, sensor fusion, robotics systems, self-driving architecture, safety, and mobility industry intelligence.
Build a practical foundation in AI concepts, model thinking, and intelligent system design for autonomy-focused applications.
Learn how machines interpret images, extract visual features, and reason from camera data in mobility environments.
Study neural perception models for detection, tracking, segmentation, and scene understanding in autonomous systems.
Understand multi-sensor reasoning, uncertainty, calibration, and state estimation for reliable mobility awareness.
Design modular autonomous applications with ROS 2 nodes, topics, services, launch files, and simulation workflows.
Explore how perception, planning, control, compute, safety layers, and autonomy stack integration work together.
Study risk, validation, operational design domains, safety cases, and engineering practice for autonomy programs.
Track global deployment patterns, policy movement, business models, and market signals shaping autonomous mobility.