Categories AI + Business, Media

AI+ Game Design Agent™

  • Empower creators with AI + Game Design Agent™ to craft intelligent, dynamic, and immersive gaming experiences.

$82.00

ChartBar (1)-51bd46
Intermediate
AI+ Game Design Agent.
24h
1 Year.
$82.00
Training 5 or more people?

Smart, dynamic and more immersive gaming experiences.

  • 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.
  • 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.

Course Curriculum

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 a Basic Reactive AI Agent Navigating a Simple Environment Using Pygame

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 (e.g., Mario Kart, Forza Horizon) 2.6 Hands-On: Creating a Simple Box Movement Game in Playcanvas

Module 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

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 and Movement Optimization 4.5 Case Study 4.6 Hands-On

Module 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

Module 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#

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 and Debugging 8.4. Hands-on

Learning Objectives

  • Design & Implement AI Agents: Learn to design, implement, and optimize AI driven game agents for interactive gameplay.
  • Proficiency in Game Development Frameworks: Develop proficiency in Unity3D, Playcanvas, and Pygame for AI integration in games.
  • Apply AI Techniques: Grasp AI techniques like pathfinding, reinforcement learning, and state machines for intelligent agent behavior.
  • Hands-On Experience: Equip yourself with practical skills in developing functional AI agents for real-world gaming environments.
  • Prepare for AI Game Development Careers: Tackle complex AI challenges in game design, preparing for careers in AI-driven game development.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Aspiring Game Designers.
  • AI Enthusiasts.
  • Game Developers.
  • Digital Artists.
  • Tech Entrepreneurs.

Job Roles & Industry Outlook 

Background (3)-7d31b3
Game Al Developer
Design and implement Al algorithms for NPC behavior, procedural world generation, and dynamic storytelling in modern games.
Background (3)-7d31b3
Interactive Experience Architect
Combine creativity and technology to build immersive, Al-powered environments that respond intelligently to player input.
Background (3)-7d31b3
Al Systems Producer
Manage the integration of Al design tools and automation systems across game development pipelines to boost creativity and efficiency.
Background (3)-7d31b3
Chief Game Innovation Officer (CGIO)
Lead strategic initiatives to harness Al in redefining game design, storytelling, and user engagement for next- generation entertainment.
Background (3)-7d31b3
Al Game Designer
Create intelligent gameplay systems that adapt to player actions, emotions, and preferences for deeply engaging interactive experiences.

Exam Information

Background+Shadow-769ee2
Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
Background+Shadow (1)-efcf81
Format
50 multiple-choice/multiple-response questions
Background+Shadow (2)-044f1d
Delivery Method
Online via proctored exam platform (flexible scheduling)
Background (1)-0543a9
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

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%

Explore our Schedules

Apr 19 - Apr 26
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Jul 26 - Aug 2
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Oct 11 - Oct 18
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days

Certificate of Completion

AI+ Game Design Agent.

AI-Healthcare-Certificate-Blurred 1

$82.00

ChartBar (1)-51bd46
Intermediate
AI+ Game Design Agent.
24h
1 Year.
$82.00
Training 5 or more people?

Learners Also Enrolled For

Want to receive push notifications for all major on-site activities?

Don't have an account yet? Sign up for free