Building Unreal Engine AI Agents from Scratch

Creating believable, intelligent characters is the key to immersive game development, but building them from scratch can feel overwhelming. This comprehensive text-based course guides you through the core concepts of game AI, taking you from foundational theory to configuring autonomous agents in Unreal Engine. What you'll learn: - Understand foundational AI concepts, navigation meshes, and pathfinding basics. - Configure Blackboard components to manage and share agent memory and state. - Build structured decision-making logic using Behavior Trees and task nodes. - Apply the Environment Query System (EQS) to help agents make smart spatial decisions. - Implement modern State Tree workflows for lightweight, high-performance behaviors. - Practice debugging AI movement and decision paths using built-in diagnostic tools. You will begin by learning essential terminology and establishing a solid understanding of how game engines process agent decisions. From there, you will progress step-by-step through setting up navigation, structuring behavior trees, and implementing sensory perception. This course is designed for beginner game developers, programmers, and designers who want to understand game AI from the ground up, with no prior AI programming experience required. Start reading today and build your first intelligent Unreal Engine agent from scratch.