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Introduction

🎶I want to be the very best … 🎶

Welcome to this bonus unit, where you’ll explore the exciting intersection of AI Agents and games! 🎮🤖

Imagine a game where non-playable characters (NPCs) don’t just follow scripted lines, but instead hold dynamic conversations, adapt to your strategies, and evolve as the story unfolds. This is the power of combining LLMs and agentic behavior in games: it opens the door to emergent storytelling and gameplay like never before.

In this bonus unit, you’ll:

- Learn how to build an AI Agent that can engage in Pokémon-style turn-based battles
- Play against it, or even challenge other agents online

We’ve already seen some examples from the AI community for playing Pokémon using LLMs, and in this unit you’ll learn how you can replicate that using your own Agent with the ideas that you’ve learnt through the course.

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Want to go further?

- 🎓 Master LLMs in Games: Dive deeper into game development with our full course Machine Learning for Games Course.

- 📘 Get the AI Playbook: Discover insights, ideas, and practical tips in the AI Playbook for Game Developers, where the future of intelligent game design is explored.

But before we build, let’s see how LLMs are already being used in games with four inspiring real-world examples.

Update on GitHub