AI+ Game Design Agent - eLearning (exam included)
275,00 EUR
- 16 hours
Step into the future of game creation with the AI+ Game Design Agent™ Certification. A specialized program that empowers you to blend artificial intelligence with creative game development. Learn how to craft dynamic, responsive games that adapt to player behavior and showcase your skills with real AI game design projects.
Key Features
Language
Course and material in English
Level
Intermediate level
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
16 hours of study time recommendation
eBooks, Audiobooks, Podcasts
Quizzes, Assessments, and Course Resources
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Create Intelligent, Adaptive Gaming Experiences
Use AI + Game Design Agent™ to design intelligent, adaptive, and immersive gaming experiences
Learning Outcomes
At the end of this course, you will be able to:
AI-Enhanced Game Design
Incorporate AI into gameplay mechanics, storytelling, and player interactions for smarter, more engaging games.
Procedural Content Creation
Use AI tools to generate dynamic worlds, levels, and in-game assets.
Adaptive Gameplay & Player Modeling
Leverage AI and data to personalize player experiences and behaviors.
Intelligent NPC Development
Create non-player characters that learn, adapt, and respond realistically using machine learning and NLP
Hands-On Game Integration
Implement AI frameworks in engines like Unity and Unreal to build innovative, intelligent game prototypes
Course timeline
Understanding AI Agents
Lesson 1
- Explore what AI agents are, their architectures, environments, and basic decision-making.
- Introduction to multi-agent systems.
- Case Study: Pac-Man ghost AI.
- Hands-On: Build a basic reactive AI agent in a simple Pygame environment.
Introduction to AI Game Agents
Lesson 2
- Learn key components and behaviors of AI game agents and their architectures.
- Case Study: Racing games like Mario Kart and Forza Horizon.
- Hands-On: Create a simple box-movement game in PlayCanvas.
Reinforcement Learning in Game Design
Lesson 3
- Fundamentals of reinforcement learning, Q-Learning, SARSA, and applying RL to game agents.
- Case Study: AlphaZero mastering Chess, Shogi, and Go through self-play.
- Hands-On: Train a simple RL agent in the OpenAI Gym environment.
AI for NPCs and Pathfinding
Lesson 4
- Understand NPCs as AI agents and implement simple AI techniques.
- Learn pathfinding, obstacle avoidance, and movement optimization.
- Case Study & Hands-On: Apply AI for NPC behaviors in practical scenarios.
AI for Strategic Decision-Making
Lesson 5
- Explore decision trees, Minimax, Monte Carlo Tree Search (MCTS), and utility-based decision-making.
- Case Study: StarCraft II AI by DeepMind.
- Hands-On: Implement a basic MCTS agent for Tic-Tac-Toe in Pygame.
AI Game Agents in 3D Virtual Environments
Lesson 6
- Learn 3D environment representation, navigation mesh generation, and complex agent behaviors.
- Case Study: The Last of Us.
- Hands-On: Develop a 3D AI agent with navigation and interaction in Unity using NavMesh and C#.
Future Trends in AI Game Design
Lesson 7
- Explore current and emerging AI trends, including the role of generalist AI in gaming.
- Case Study: Industry examples and innovations.
Capstone Project
Lesson 8
Apply all skills in a comprehensive project: planning, implementation, testing, debugging, and hands-on execution.
Tools explored
- Unity ML-Agents
- TensorFlow
- PyTorch
- Python
- OpenAI Gym
- Blender
- NVIDIA Omniverse
- Godot Engine
- 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
Who Should Enroll in this Program?
Aspiring Game Designers: For those wanting to integrate AI into storytelling, gameplay mechanics, and player experiences.
AI Enthusiasts: Perfect for learners curious about using AI to enhance creativity and interactivity in games.
Game Developers: Suited for professionals building intelligent systems, adaptive gameplay, and smart NPCs
Digital Artists: Ideal for creatives aiming to design immersive environments and dynamic game elements with AI.
Tech Entrepreneurs: For innovators seeking to leverage AI in creating next-generation interactive gaming platforms.
More Details
Prerequisites
- Basic Programming Knowledge: Comfortable with coding concepts and languages.
- Game Design Fundamentals: Understanding of essential game mechanics and structure.
- Mathematics & Algorithms: Strong skills in logic, problem-solving, and algorithmic thinking.
- Foundations of AI: Introductory familiarity with AI concepts and models.
- Creative Thinking: Ability to imagine dynamic, interactive, and engaging game elements.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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