Master New Skills with 5-Minute Bite-Sized Learning Modules
Start your journey for free.
Master New Skills with 5-Minute Bite-Sized Learning Modules
Start your journey for free.
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.
Go from your first step to master level. Three simple steps, all about Game AI (Behavior Trees).
New to Game AI (Behavior Trees)? Start here. Learn the basics in small, easy steps.
This is where Game AI (Behavior Trees) gets exciting — deeper skills, real results.
Use Unity Muse + ChatGPT to create game assets and mechanics. It's the fast lane to mastering Game AI (Behavior Trees).