Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to AI in Gaming
- Survey of AI applications within games
- Categorization of AI agents: NPCs, strategic AI, and additional types
- Fundamental concepts in game AI development
Decision-Making Architectures
- Building decision trees for foundational AI logic
- Using finite state machines for intricate behaviors
- Behavior trees and modular AI architecture
Pathfinding and Navigation
- Analyzing pathfinding algorithms
- Implementing the A* algorithm for in-game navigation
- Enhancing pathfinding efficiency for extensive maps
Reinforcement Learning in Gaming
- Overview of reinforcement learning principles
- Training AI agents via Q-learning and deep Q-networks
- Crafting reward structures for adaptive behaviors
AI Performance Optimization
- Strategies for real-time AI performance enhancement
- Resource management and AI task prioritization
- Diagnosing and resolving AI system issues
Advanced AI Methodologies
- Generating procedural content with AI
- Emulating player-like behaviors
- Merging AI with multiplayer gaming experiences
Emerging Trends in Game AI
- AI and machine learning in next-generation gaming
- Ethical implications in game AI
- Investigating AI-driven storytelling and narrative design
Recap and Future Directions
Requirements
- Fundamental grasp of programming principles
- Experience with game development tools or frameworks
- Foundational knowledge of AI concepts
Target Audience
- Game developers
- AI enthusiasts
14 Hours
Testimonials (1)
I like how the course is built to the needs of what we are looking to create for work.