Practical guide to AI in Unity

所在平台: Udemy

课程主页: https://www.udemy.com/course/ai-in-unity/

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课程简介

**课程名称:Unity AI 实战指南** **课程概述:** 本课程旨在教授学员如何使用 Unity 创建最先进的视频游戏 AI。课程采用以项目为导向的实践学习方法,通过两个实际的 Unity 项目,帮助学员深入理解并应用所学概念: 1. **Catch:** 模拟一个简单但有趣的经典游戏“Catch”。 2. **Colony Simulation:** 类似于《Rimworld》或《Oxygen Not Included》,学员将创建由 AI 控制的 NPC,管理他们的生存,例如确保食物供应。 **课程亮点:** * **免费独家行为设计器教育版许可证:** 包含价值约 90 美元的行业标准行为树解决方案 Behaviour Designer 的教育版许可证,专为本课程定制,独家提供。 * **终身访问权:** 享受课程内容的永久访问权限。 * **内容丰富:** * 从基础的 **状态机 (State-Machines)** 入门。 * 学习如何使用 **状态模式 (State-Pattern)** 改进和扩展状态机。 * 重点讲解 **行为树 (Behavior Trees)**,这是独立和 AAA 级游戏制作中常用的高级 AI 技术。 * 初步了解 **遗传算法 (Genetic Algorithms)**,一种更具实验性但能创造独特游戏机制的 AI 方法。 **课程目标:** 本课程将涵盖现代游戏开发中最重要的 AI 技术和设计模式。学员在课程结束后,将能够自信地设计和实现令人惊叹的 AI 系统。 **不包含内容:** 课程将不涉及机器学习,因为该领域内容庞大,且对于许多游戏 AI 而言,机器学习的控制性较低。 **立即加入,开始您的游戏 AI 创作之旅!**

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课程详情

Learn how to create state of the art AI for video games using Unity.I believe in a practical approach in learning so this course will be primarily project-based. You won't just learn dry theory and forget everything within a matter of days but instead apply the learned concepts to two actual Unity-Projects:Catch: A simple digital replica of play every kid's favourite game: catchColony Simulation: A game like Rimworld or Oxygen Not Included, where you can't control the NPCs directly, but instead they are controlled by the AI and you need to help them survive by making sure they've got enough to eat.Also this course contains a free exclusive Behavior-Designer Educational-License, which would normally cost ~90$. Behavior Designer is the industry-standard solution for Behaviortrees and generously provided me with an exclusive Educational License, which they specifically built for this course. So you won't get it anywhere else. Also you will of course get full lifetime access to the course. We'll start with the simplest AI-System that there is, namely State-Machines.After that we'll improve State-Machines and make them more extensible with the State-Pattern.Then we'll hit the main topic which is one of the more advanced techniques that are used in Indie- and AAA-Gameproductions alike: BehaviorTrees.Lastly we'll have a glimpse at one of the more experimental AI-Approaches, namely Genetic Algorithms, which are more of a niche topic but have the potential for very interesting game-mechanics that stand out of the crowd.Whereas this course is already rather extensive and covers the most important aspects of AI for modern gamedevelopment, I can't possibly cover everything of this huge field. For example I won't address machine learning because this topic alone would fill a whole bunch of courses and really isn't that practical for most Game-AIs because of the lack of control you have over it.By the end of the course you'll be confident with the most important AI-Techniques- and Design Patterns for modern Gamedevelopment.So what are you waiting for, join me now and start creating astonishing AI-Systems yourself.

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