Lilly Tech Systems
Learn AI in Unreal Engine
Master Unreal Engine's powerful AI framework. From behavior trees and EQS to navigation and Mass AI for crowds — all for free.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Overview of Unreal Engine's AI framework, controllers, and the AI perception system.
2. Behavior Trees
Unreal's built-in behavior tree system with blackboards, tasks, decorators, and services.
3. EQS
The Environment Query System for context-aware spatial reasoning and position selection.
4. Navigation
NavMesh generation, navigation modifiers, path following, and crowd management.
5. Mass AI
Unreal's Mass Entity framework for simulating thousands of AI agents efficiently.
6. Best Practices
Performance profiling, debugging tools, multiplayer AI, and production workflows.
What You'll Learn
By the end of this course, you will be able to:
Build Behavior Trees
Create modular AI behaviors using Unreal's visual behavior tree editor with blackboards and custom tasks.
Query Environments
Use the Environment Query System to make spatially-aware AI decisions like finding cover or flanking positions.
Navigate Worlds
Configure NavMesh navigation with dynamic obstacles, area types, and crowd avoidance in UE5.
Scale to Thousands
Leverage Mass Entity and LOD systems to simulate massive crowds of AI agents efficiently.