This document provides an introduction to artificial intelligence and how it can be applied to games. It discusses what AI is, common AI fields like machine learning and computer vision. It then focuses on AI for games, describing the components of an abstract AI agent model including sensors, actuators, and the environment. Actuators can include pathfinding, decision making and steering behaviors. The environment provides information to agents and can include resources, terrain and other units' positions. Finally, it outlines steps for building an AI game, such as determining the game type, choosing tools, designing objects, determining the number of agents, and separating agents from the environment.