AI+ Game Design Agent Specialty™ eLearning
Empower creators with AI+ Game Design Agent Specialty™ to craft intelligent, dynamic, and immersive gaming experiences.
Become a leader in the next generation of game development by combining creativity with the power of artificial intelligence. This program equips you with the skills to design immersive gaming experiences using procedural content generation, adaptive storytelling, intelligent NPC behavior, and AI-driven gameplay mechanics. Gain hands-on experience through practical projects focused on level generation, character modeling, player behavior analysis, and game experience optimization. Earn a globally recognized certification that validates your expertise in applying AI within modern game development. Discover career opportunities in game studios, simulation engineering, interactive media, and entertainment technology while building future-ready skills in generative AI, autonomous systems, and adaptive game design that prepare you for the rapidly evolving gaming industry.
- Leer in je eigen tempo, waar en wanneer jij wilt
- Betalen op factuur, annuleren volgens heldere voorwaarden
- Ook incompany voor je hele team
Ruim 5.000 cursisten per jaar volgen een training bij ons
Voor wie
Voor wie is deze training
Aspiring Game Designers – Perfect for those who want to integrate AI into storytelling, mechanics, and player experiences.
AI Enthusiasts – Ideal for learners eager to explore how AI can enhance creativity and interactivity in games.
Game Developers – Great for professionals aiming to build intelligent systems, adaptive gameplay, and smart NPCs.
Digital Artists – Excellent for creatives interested in using AI to design immersive environments and dynamic game elements.
Tech Entrepreneurs – Ideal for innovators looking to leverage AI in building the next generation of interactive gaming platforms.
De training
Dit leer je tijdens de training
Praktijkgericht, met een trainer die zelf in het veld werkt. Geen theorie om de theorie.
Na deze training
Wat deze training je oplevert
Next-Gen Game Creation
Learn to design intelligent, adaptive games that respond dynamically to player behavior and choices.
Industry-Relevant Expertise
Gain skills at the intersection of AI, creativity, and game design—highly sought after in modern studios.
Hands-On Innovation
Build real-world projects integrating AI-driven storytelling, procedural worlds, and smart NPC systems.
Career Acceleration
Stand out for roles in AI game development, systems design, and creative technology leadership.
Future-Ready Skills
Prepare for the evolving gaming landscape where AI shapes creativity, engagement, and interactive storytelling.
Inhoud
Het programma
- 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 a Basic Reactive AI Agent Navigating a Simple Environment Using Pygame
- 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 (e.g., Mario Kart, Forza Horizon)
- 2.6 Hands-On: Creating a Simple Box Movement Game in Playcanvas
- 3.1 Basics of Reinforcement Learning
- 3.2 Key Algorithms: Q-Learning and SARSA
- 3.3 Applying RL to Game Agents
- 3.4 Challenges and Solutions in Game-based RL
- 3.5 Case Study: AlphaZero in Games: Mastering Chess, Shogi, and Go through Self-Play and Reinforcement Learning
- 3.6 Hands On: Train a simple RL agent in OpenAI Gym environment
- 4.1 Understanding NPCs as AI Agents
- 4.2 Simple AI Techniques for NPCs
- 4.3 Pathfinding Algorithms
- 4.4 Obstacle Avoidance and Movement Optimization
- 4.5 Case Study
- 4.6 Hands-On
- 5.1 Decision Trees and Minimax for Game AI
- 5.2 Monte Carlo Tree Search (MCTS) for AI Agent
- 5.3 Utility-Based Decision Making for Game AI
- 5.4 AI in Real-Time Strategy (RTS) Games
- 5.5 Case Study: StarCraft II AI by DeepMind
- 5.6 Hands-On: Implement a Basic MCTS Agent for Tic-Tac-Toe Using Pygame
- 6.1 3D Environment Representation and Challenges for AI Agents
- 6.2 Navigation Mesh Generation for AI Agents in 3D
- 6.3 Complex Agent Behaviors in 3D Worlds
- 6.4 Case Study: The Last of Us
- 6.5 Hands On: Develop a 3D AI Agent with Navigation and Interaction in Unity Using NavMesh and C#
- 7.1 Current and Future AI Trends
- 7.2 The Future of Generalist AI in Gaming
- 7.3 Case Study
- 8.1. Task Description
- 8.2. Practical Implementation
- 8.3. Testing and Debugging
- 8.4. Hands-on
- Unity ML-Agents
- PyTorch
- TensorFlow
- Python
- OpenAI Gym
- Blender
- Godot Engine
- NVIDIA Omniverse
- Hugging Face Transformers
- Reinforcement Learning Frameworks
- Natural Language Processing Libraries
- Computer Vision SDKs
- Game Analytics Tools
- Behavior Tree Editors
- Procedural Generation Tools
- Speech and Emotion Recognition APIs
- AI Animation Systems
- 3D Simulation Platforms
Praktisch
Goed om te weten
Lesmethode
Instructor-led OR Self-paced course + Official exam + Digital badge
Kenmerken
Online proctored exam included, with one free retake.
Exam format:
50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Voorkennis
- Basic knowledge of programming, game design fundamentals, and core mathematical concepts is recommended. Ideal for learners with an interest in AI principles, algorithmic thinking, and creative problem-solving to design intelligent, dynamic, and interactive game experiences.
Inschrijven
Alles op een rij
AI+ Game Design Agent Specialty™ eLearning
- Betalen op factuur mogelijk
- Verschuiven of annuleren volgens onze voorwaarden
- Ook incompany voor je hele team via maatwerk
Zekerheid
Inschrijven zonder verrassingen
Heldere voorwaarden
Verschuiven of annuleren doe je volgens onze algemene voorwaarden. Geen kleine lettertjes achteraf.
Hulp bij je keuze
Twijfel je of dit de juiste training is voor jouw rol of team? Stel je vraag, we denken met je mee.
Ook incompany
Elke training kan op maat voor je hele team, bij jullie op locatie of virtueel. Lees meer.
Veelgestelde vragen
Vragen over deze training
Kan ik de training ook virtueel volgen?
Wat als ik verhinderd ben op de gekozen datum?
Kunnen we deze training met het hele team volgen?
Kan mijn werkgever de training betalen?
Hoe weet ik of ik genoeg voorkennis heb?
Klaar om te starten?
Schrijf je in en ga aan de slag. Twijfel je nog, stel dan eerst je vraag.