Decision-making for Autonomous Systems

Computer Vision

Intelligent Agents and Multi-agent Systems

Machine Learning

Robotics

Applications of AI

Please be aware that this course is no longer available. Explore our current selection of AI courses suitable for professionals.

This course will teach you the fundamental mathematical models for many real-world problems with autonomous systems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems.

This course is aimed at learners with a bachelor’s degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems.

Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.