AI+ Game Design Agent

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

This course provides a comprehensive mastery of AI-driven game design, focusing on the integration of procedural generation, adaptive storytelling, and intelligent NPC behavior to create truly immersive experiences. Through hands-on projects involving generative AI and character modeling, you will earn a globally recognized certification that prepares you for high-level careers in gaming studios and simulation engineering. By blending creative innovation with future-ready expertise, this program ensures you stay at the forefront of the next era of interactive entertainment.

Recommended 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.

Course Outline:

Lesson 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 a Basic Reactive AI Agent Navigating a Simple Environment Using Pygame
Lesson 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 (e.g., Mario Kart, Forza Horizon)
  • 2.6 Hands-On: Creating a Simple Box Movement Game in Playcanvas
Lesson 3: Reinforcement Learning in Game Design
  • 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
Lesson 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 and Movement Optimization
  • 4.5 Case Study
  • 4.6 Hands-On
Lesson 5: AI for Strategic Decision-Making
  • 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
Lesson 6: AI Game Agent in 3D Virtual Environments
  • 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#
Lesson 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
Lesson 8: Capstone Project
  • 8.1. Task Description
  • 8.2. Practical Implementation
  • 8.3. Testing and Debugging
  • 8.4. Hands-on

All necessary course materials are included.


System Requirements:

Internet Connectivity Requirements:

  • Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

  • CPU: 1 GHz or higher
  • RAM: 4 GB or higher
  • Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
  • Speakers / Headphones
  • Microphone for Webinar or Live Online sessions.

Operating System Requirements:

  • Windows 7 or higher.
  • Mac OSX 10 or higher.
  • Latest Chrome OS
  • Latest Linux Distributions

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

  • Latest Google Chrome is recommended for the best experience.
  • Latest Mozilla FireFox
  • Latest Microsoft Edge
  • Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

  • Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
  • PDF reader program (Adobe Reader, FoxIt)
  • Courses may require other software that is described in the above course outline.


** The course outlines displayed on this website are subject to change at any time without prior notice. **