Generative AI in Gaming: Creating Immersive Experiences Training Course
Generative AI is a groundbreaking technology that is enabling the creation of highly interactive and immersive gaming experiences.
This instructor-led, live training (online or onsite) is aimed at intermediate-level game developers, designers, and AI enthusiasts who wish to leverage generative AI to develop innovative gaming environments and characters.
By the end of this training, participants will be able to:
- Understand the core concepts of generative AI and its application in gaming.
- Implement procedural content generation to create expansive game worlds.
- Design and develop AI-driven characters and narratives.
- Evaluate the ethical implications of AI in gaming.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Generative AI in Gaming
- Exploring the potential of generative AI in gaming
- The evolution of AI in game development
- Key tools and technologies for AI in gaming
Procedural Content Generation
- Fundamentals of procedural generation in game design
- Techniques for creating diverse and complex game environments
- Workshop: Crafting a procedurally generated landscape
AI-Driven Character Development
- Principles of AI character design
- Techniques for creating dynamic and responsive NPCs
- Hands-on: Programming an AI-driven game character
Interactive and Adaptive Storytelling
- The role of AI in narrative development
- Creating branching storylines and dynamic plot points
- Session: Writing an AI-generated storyline for a game
Ethics and AI in Gaming
- Understanding bias and fairness in AI applications
- Ethical considerations in AI-driven game design
- Discussion: The future of ethical AI in gaming
Capstone Project: Creating an AI-Enhanced Game
- Project goals and design parameters
- Integrating AI elements into game mechanics
- Playtesting and refining AI behaviors
Summary and Next Steps
Requirements
- An understanding of game development and design principles
- Experience with a programming language, preferably Python or C#
- Familiarity with AI and machine learning concepts
Audience
- Game developers
- Designers
- AI enthusiasts interested in the intersection of AI and gaming
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