Playing Video Games with Generative AI

How do modern artificial intelligence models learn to play complex video games? Generative AI is transforming how we build autonomous agents capable of navigating, strategizing, and interacting within virtual worlds. This text-based course guides you through the foundational concepts of generative AI in gaming, explaining how large language models and multimodal systems interpret game states and execute actions. What you'll learn: - Understand the fundamental architecture of generative AI agents in gaming environments. - Analyze how multimodal models process visual game screens and text descriptions. - Design effective prompts to guide AI decision-making and strategic planning. - Explore the integration of reinforcement learning with generative language models. - Evaluate the performance, latency, and ethical considerations of AI game players. We begin with core terminology and the history of AI in games, then progress to conceptual frameworks, prompt structures, and clear code-based examples of agent-environment loops. You will solidify your learning through written exercises and conceptual quizzes designed to test your understanding of game-playing mechanisms. This course is designed for curious beginners, aspiring game developers, and AI enthusiasts. No prior programming experience or advanced mathematics background is required to succeed. Start exploring the intersection of generative AI and gaming today.