AI+ Game Design Agent (AP-6012 Self-Paced Training)
Ziele der Schulung
This certification empowers creators to craft intelligent, dynamic, and immersive gaming experiences by integrating artificial intelligence with creative game development. Learners will master AI-driven game design techniques including procedural generation, adaptive storytelling, and intelligent NPC behavior. The program covers real-world projects to practice AI-based level design, character behavior modeling, and player experience optimization, preparing participants for careers in AI game development and interactive design. What Will You Learn? You will gain practical experience building AI game agents, understanding AI decision-making, reinforcement learning for game logic, NPC behavior systems, adaptive gameplay mechanics, and advanced AI tools commonly used in the gaming industry.
Zielgruppe Seminar
- Aspiring Game Designers
- AI Enthusiasts
- Game Developers
- Digital Artists
- Tech Entrepreneurs
Voraussetzungen
- Basic programming knowledge
- Game design fundamentals
- Mathematics and algorithms basics
- Introductory understanding of AI principles
- Creative thinking skills
Seminarinhalt
Module 1: Understanding AI Agents
- 1.1 What are AI Agents?
- 1.2 Agent Architectures and Environments
- 1.3 Decision Making and Behavior Basics
- 1.4 Introduction to Multi-Agent Systems
- 1.5 Case Study: Pac-Man Ghost AI
- 1.6 Hands On: Build Basic Reactive AI Agent
Module 2: Introduction to AI Game Agent
- 2.1 What is an AI Game Agent?
- 2.2 Key Components of AI Game Agent
- 2.3 Agent Architectures
- 2.4 AI Game Agent Behaviors
- 2.5 Case Study: Racing Games
- 2.6 Hands-On: Create Simple Game in PlayCanvas
Module 3: Reinforcement Learning in Game Design
- 3.1 Basics of Reinforcement Learning
- 3.2 Key Algorithms: Q-Learning & SARSA
- 3.3 Applying RL to Game Agents
- 3.4 Challenges and Solutions in Game-based RL
- 3.5 Case Study: AlphaZero
- 3.6 Hands-On: Train RL Agent
Module 4: AI for NPCs and Pathfinding
- 4.1 Understanding NPCs as AI Agents
- 4.2 Simple AI Techniques for NPCs
- 4.3 Pathfinding Algorithms
- 4.4 Obstacle Avoidance & Movement Optimization
- 4.5 Case Study
- 4.6 Hands-On Practical
Module 5: AI for Strategic Decision-Making
- 5.1 Decision Trees & Minimax
- 5.2 Monte Carlo Tree Search (MCTS)
- 5.3 Utility-Based Decision Making
- 5.4 AI in RTS Games
- 5.5 Hands-On MCTS
Module 6: AI Game Agent in 3D Virtual Environments
- 6.1 3D Environment Representation
- 6.2 Navigation Mesh Generation
- 6.3 Complex Agent Behaviors
- 6.4 Case Study: The Last of Us
- 6.5 Hands-On Unity Agent
Module 7: Future Trends in AI Game Design
- 7.1 Current and Future AI Trends
- 7.2 The Future of Generalist AI in Gaming
- 7.3 Case Study
Module 8: Capstone Project
- 8.1 Task Description
- 8.2 Practical Implementation
- 8.3 Testing & Debugging
- 8.4 Hands-On Integration
Hinweise
Prüfung und Zertifizierung
- Format: 50 questions
- Passing Score: 70%
- Duration: 90 minutes
- Delivery: Online proctored exam
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Übersicht: AI Certs Schulungen Portfolio
