4.75 (6 reviews)
☑ Learn how to use Finite State Machine
☑ Learn the basics of Behavior Trees
☑ Learn how to implement the Astar Pathfinding Algorithm
☑ Learn how to implement Sensors in your game
☑ Learn how to create a GOAP System
☑ Learn the basics about Flocking
Welcome to this Intermediate course designed for developers who want to learn the basics of the most Artificial Intelligence techniques. (Please see the Important Notes lecture on who this course is for before joining).
In this course we will learn how to implement some of the most popular AI techniques in Unity, we will learn how they work by creating a simple demo in each section.
Unity already comes with some packages that will let you add AI Agents to your games without any effort. We will go beyond with cool AI such as FSM, Behavior Trees, Sensors, Flocking, and a GOAP System.
If you are looking to expand your AI knowledge, enroll today and let's take a look at how these systems work.
Each section starts with an introduction video to understand how AI technique works and what you should consider when working with them, and you would have available Unity Packages to download so you can follow the course.
Bonus features you will get:
We will build a complete GOAP (Goal Oriented Action Planning) system that you can implement in your own games.
You will see 2 examples of how to work with Finite State Machines and the last version is the Pluggable AI System which you can use in your own games.
Finite State Machine
Introduction to Finiste State Machine
Tank Controller and Bullet class
Enemy Tank States
Improving FSM: Pluggable AI
Introduction to Behaviour Trees
Setup Nodes and Obstacles
Find the Shortest Path
Align With Neighbors
Setup Actions and Goal
Load Actions, Goal and Decisions
Complete GOAP Project
A very good course to learn certain artificial intelligence techniques, the demos are simple but it helps to understand how to apply them. Worth it