Learn Advanced AI for Games with Behaviour Trees
Udemy Coupon Code Learn Advanced AI for Games with Behaviour Trees Course
Create your own Behaviour Tree API in C# and apply it in the Unity Game Engine
Created by Penny de Byl and Penny Holistic3D | | 7 hours on-demand video | 22 downloadable resources | 5,065 students | Avg Rating: 4.7 (290 ratings)
What you’ll learn
- Students will learn the theory of behaviour tree design.
- Students will learn how to develop a behaviour tree API in C#
- Students will learn how to use behaviour trees to define the actions of non-player characters.
Learn Advanced AI for Games with Behaviour Trees Course
Learn Advanced AI for Games with Behaviour Trees Course. Behaviour Trees (BTs) are an A.I. architecture that provide game characters with the ability to select behaviours and carry them out, through a tree-like architecture that defines simple but powerful logic operations. It can be used across a wide range of game genres from first-person shooters to real-time strategies and developing intelligent characters capable of making smart decisions. The codebase is deceptively simple and yet logical, reusable and extremely powerful. The library is written in C# and implemented in Unity 2020, however will easily port to other applications.
In this Learn Advanced AI for Games with Behaviour Trees Online Course, Penny demystifies the advanced A.I. technique of BTs used for creating believable and intelligent game characters in games, using her internationally acclaimed teaching style and knowledge from almost 30 years working with games, graphics, and having written two award-winning books on games AI. Throughout, you will follow along with hands-on workshops designed to take you through every step of putting together your own BT API. You will build the entire BT library from the ground up, while building an art gallery simulation scenario in parallel, to test the API as you go.
Learn Advanced AI for Games with Behaviour Trees Coupon Code
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Who this course is for:
- Intermediate game development students wanting to extend their knowledge of artificial intelligence techniques used in games.
