Learn AI in Unity
Build intelligent game characters with Unity's AI tools. From ML-Agents and NavMesh to behavior design and training — all for free.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Overview of Unity's AI ecosystem, tools, and capabilities for intelligent game development.
2. ML-Agents
Unity's ML-Agents Toolkit for training intelligent agents using reinforcement learning.
3. NavMesh
Unity's built-in navigation system for pathfinding, obstacle avoidance, and agent movement.
4. Behavior Designer
Visual behavior tree tools for designing complex AI without extensive coding.
5. Training
Setting up training environments, reward shaping, curriculum learning, and hyperparameter tuning.
6. Best Practices
Performance tips, debugging, deployment strategies, and production-ready AI in Unity.
What You'll Learn
By the end of this course, you will be able to:
Train ML Agents
Use Unity ML-Agents to train intelligent game characters with reinforcement learning and imitation learning.
Build Navigation
Implement NavMesh-based pathfinding with obstacle avoidance and dynamic navigation for 3D worlds.
Design Behaviors
Create sophisticated NPC behaviors using visual behavior tree editors and state machine patterns.
Ship to Production
Optimize and deploy AI systems that perform well across platforms from mobile to console.
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