Course Outline

Introduction to AI in Gaming

  • Overview of AI applications in games
  • Types of AI agents: NPCs, strategic AI, and more
  • Key concepts in game AI development

Decision-Making Systems

  • Implementing decision trees for simple AI logic
  • Finite state machines for complex behaviors
  • Behavior trees and modular AI design

Pathfinding and Navigation

  • Understanding pathfinding algorithms
  • Implementing A* algorithm for in-game navigation
  • Optimizing pathfinding for large maps

Reinforcement Learning in Games

  • Introduction to reinforcement learning concepts
  • Training AI agents using Q-learning and deep Q-networks
  • Designing reward structures for adaptive behaviors

Optimizing AI Performance

  • Techniques for real-time AI performance optimization
  • Managing resources and prioritizing AI tasks
  • Debugging and troubleshooting AI systems

Advanced AI Techniques

  • Procedural content generation with AI
  • Simulating player-like behaviors
  • Integrating AI with multiplayer gaming

Future Trends in Game AI

  • AI and machine learning in next-generation gaming
  • Ethical considerations in game AI
  • Exploring AI-driven storytelling and narrative design

Summary and Next Steps

Requirements

  • Basic understanding of programming concepts
  • Familiarity with game development tools or frameworks
  • Basic knowledge of AI principles

Audience

  • Game developers
  • AI enthusiasts
 14 Hours

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