Game AI (Behavior Trees)

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.

✅ 100% Free & Lifetime Access

⏱️ 5-Minute Lessons (Bite-sized learning)

🚀 21-Lesson Path (Independent modules)

📱 Mobile Friendly (Learn anywhere)

AI Devs

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Secure Enrollment via SSL

Complete Course Syllabus

1

State Machines

Switching behaviors based on triggers and events.
2

Sensing

Simulating vision cones and hearing radii.
3

Navigation

Using NavMesh Agents and off-mesh links.
4

Behavior Trees

Sequences, Selectors, and Decorator nodes.
5

Steering Behaviors

Flocking, separation, and alignment algorithms.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary

$110k - $150k

Career Paths

AI Programmer $115k-$160k

Gameplay Engineer $100k-$150k

NPC Designer $90k-$130k

What You Will Learn

Implement Finite State Machines for simple enemy logic

Design complex agents using Behavior Trees and Nodes

Integrate NavMesh for pathfinding and obstacle avoidance

Create sensory systems for sight and hearing detection

Balance AI difficulty for fair but challenging gameplay

Skills You Will Gain

Game AI Behavior Trees State Machines Pathfinding C# / C++

Who Is This For

AI Programmers

Gameplay Devs

Designers

Prerequisites

Intermediate Coding

Game Dev