Practical Game AI
Uppsala University
Visby
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Practical Game AI
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: 5SD822
This course introduces practical AI techniques used in games, including pathfinding, state machines, and behavior trees. Through hands-on projects in C++, you will build AI agents capable of sensing, decision-making, and acting in game worlds. The course focuses on AI that makes games more dynamic and engaging.
Entry requirements
Scalable Game Worlds in C++, 7.5 credits (5SD820)
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-09-10T10:12:37