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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
Testimonials (2)
practical examples and troubleshooting of real problems (during creating real projects, games, etc.), I mean good practice and how the real project work looks like
Michal Orlinski - relayr sp. z o.o.
Course - VR rapid prototyping in Unity3D for architecture showcasing
I liked the fact the all the questions we prepared beforehand were answered; also the 90 minute challenge to create a little game at the end was a good fun!
