Create intelligent NPCs. Master Finite State Machines (FSM), Behavior Trees, and Goal-Oriented Action Planning (GOAP) for dynamic game agents.
Game AI isn't ChatGPT; it's about decision making. This course teaches the architectures used for game characters. You will start with Finite State Machines (Patrol -> Chase -> Attack) and advance to hierarchical Behavior Trees for complex logic. Learn to use NavMesh for pathfinding and steering behaviors for organic movement. We also touch on Goal-Oriented Action Planning (GOAP) and Utility systems used in simulation games.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
No, Game AI is usually deterministic logic.
Vector math is needed for sensing and movement.
Concepts apply generally; examples in Unity.
Yes, Behavior Trees are often visual graphs.
3 recommended paths based on what you're learning
Go beyond the basics. Game Technical Director builds directly on what you know.
While everyone focuses on Game AI (Behavior Trees), the smart ones are also learning Audio Integration.
Work faster, not harder. Scenario.gg was built to generate custom game art and sprites.