AI+ Game Design Agent™

AI Design & Creative

AI+ Game Design Agent™

Comprehensive Skill Development
Master AI-driven game design by integrating procedural generation, adaptive storytelling, and intelligent NPC behavior to create immersive, dynamic gaming experiences.
Industry Recognition
Earn a globally recognized certification that highlights your expertise in blending artificial intelligence with creative game development.
Hands-On Learning
Practice with real-world projects involving AI-based level design, character behavior modeling, and player experience optimization to sharpen your practical game design skills.
Career Advancement
Explore opportunities in AI game development, interactive design, and simulation engineering across gaming studios, tech companies, and entertainment platforms.
Future-Ready Expertise
Stay ahead in the next era of gaming innovation with deep knowledge of generative AI, autonomous systems, and adaptive gameplay design.

All prices are in NZD, ex GST (15%).

Funding support available — “eligible learners may access government grants or employer sponsorships for this course.”

Overview
What You’ll Learn
Certification Modules
Industry Opportunities
FAQ’s
Prerequisites
Exam Details
Exam Blueprint
Core AI Tools Covered

At a Glance: Course + Exam Overview

Category	AI Design & Creative AI Professional	Program Name:	AI+ Game Design Agent™
Exam Format	50 questions, 70% passing, 90 minutes

🤝 You’re never on your own — Parasol Concierge Support provides integration guidance and expert VA assistance so you can focus on mastering skills while we handle the setup details.

WHAT You'll Learn

AI-Powered Game Design

Learn to integrate artificial intelligence into game mechanics, storytelling, and player interactions for smarter gameplay.

Procedural Content Generation

Master techniques to create dynamic worlds, levels, and assets using AI-driven design tools.

Adaptive Gameplay & Player Modeling

Understand how to use data and AI to personalize player experiences and behaviors.

Intelligent NPC Development

Build non-player characters that think, learn, and respond realistically through machine learning and NLP.

Hands-On Game Integration

Apply AI frameworks in engines like Unity and Unreal to develop innovative, intelligent game prototypes.

CERTIFICATION Modules

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

Industry opportunities

AI Game Designer

Create intelligent gameplay systems that adapt to player actions, emotions, and preferences for deeply engaging interactive experiences.

Game AI Developer

Design and implement AI algorithms for NPC behavior, procedural world generation, and dynamic storytelling in modern games.

Interactive Experience Architect

Combine creativity and technology to build immersive, AI-powered environments that respond intelligently to player input.

AI Systems Producer

Manage the integration of AI design tools and automation systems across game development pipelines to boost creativity and efficiency.

Chief Game Innovation Officer (CGIO)

Lead strategic initiatives to harness AI in redefining game design, storytelling, and user engagement for next-generation entertainment.

FREQUENTLY ASKED QUESTIONS

Yes, this certification provides hands-on experience with real game development tools and AI frameworks. You’ll be ready to design intelligent gameplay, adaptive environments, and AI-driven characters for real-world gaming projects.

This certification uniquely merges creative game design with artificial intelligence, focusing on adaptive storytelling, procedural world-building, and intelligent gameplay mechanics that redefine interactive entertainment.

You’ll work on AI-driven game prototypes, smart NPC systems, procedural content generation, and adaptive gameplay simulations—building the foundation for next-generation gaming experiences.

This course blends expert-led sessions, practical labs, and project-based learning using real game engines and AI tools to ensure you master both creative design and technical implementation.

It equips you with the technical and creative skills needed for roles in AI game development, interactive design, and game innovation—making you job-ready for the rapidly evolving gaming industry.

PREREQUISITES

Basic Programming Knowledge: Familiarity with coding concepts and languages.
Game Design Fundamentals: Understanding of core game mechanics and structure.
Mathematics and Algorithms: Strong grasp of logic and problem-solving techniques.
Artificial Intelligence Basics: Introductory knowledge of AI principles and models.
Creative Thinking: Ability to envision dynamic and interactive game elements.

EXAM DETAILS

Duration

90 minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

EXAM BLUEPRINT

Understanding AI Agents	7%
Introduction to AI Game Agent	15%
Reinforcement Learning in Game Design	15%
AI for NPCs and Pathfinding	15%
AI for Strategic Decision-Making	12%
AI Game Agent in 3D Virtual Environments	12%
Future Trends in AI Game Design	12%
Capstone Project	12%