AI Game Development Essentials with Unity 6

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this advanced-level course, you will explore sophisticated AI techniques for creating realistic, dynamic, and intelligent behaviors in Unity. Starting with crowd simulation, you will learn how to simulate large groups of agents moving as one, as well as how to implement flocking behavior for AI groups. The course takes you through the process of creating goal-driven AI using Goal-Oriented Action Planning (GOAP), and introduces behavior trees to structure complex decision-making systems. The course begins with a focus on crowd simulation, where you will learn how to simulate both fleeing and flocking behaviors in groups of agents. Then, you will dive into Goal-Oriented Action Planning (GOAP), creating intelligent agents that plan their actions dynamically based on environmental conditions. Additionally, you’ll explore behavior trees, a powerful tool for organizing AI actions and decision-making, allowing your agents to execute tasks like navigation, combat, and interaction with the game world. Designed for developers looking to level up their AI development skills, this course requires prior experience with Unity and basic AI concepts. Whether you're developing strategy games, simulation games, or action games, the techniques learned in this course will help you build more complex and engaging AI systems for your games. By the end of the course, you will be equipped to implement highly adaptive AI for a variety of game environments.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will dive deep into the foundational concepts of Artificial Intelligence (AI) and its application in game development. By exploring AI techniques in Unity, you’ll learn how to implement AI-driven characters, create realistic movement, and develop advanced pathfinding systems. As you progress, you will discover how mathematics, physics, and algorithms combine to form the backbone of AI development in games. The course begins by introducing the core principles of AI and how it can be applied to game development. You’ll then cover key topics like vector mathematics, the physics behind AI movements, and how AI predicts future object locations. From there, the course walks you through setting up the A* pathfinding algorithm, ensuring your AI characters can navigate complex environments. As you explore more advanced topics, you’ll integrate AI with waypoints, graphs, and projectiles, gaining an in-depth understanding of how to build a responsive, intelligent system for games. This course is ideal for aspiring game developers and those interested in learning AI programming concepts in a game development context. No prior AI knowledge is required, but a basic understanding of Unity and programming fundamentals is beneficial. The course will guide you through all the technical aspects, while also encouraging practical application to bring your AI systems to life.