Ultimate Game AI for Godot Beginners

Ultimate Game AI for Godot Beginners, available at $74.99, has an average rating of 4.3, with 39 lectures, based on 49 reviews, and has 666 subscribers.

You will learn about What is a Game AI and how can it improve your game What are the main components of a Game AI How to implement different Game AI Systems How to put everything together in a Game Project This course is ideal for individuals who are Beginners with Artificial Intelligence in Godot It is particularly useful for Beginners with Artificial Intelligence in Godot.

Enroll now: Ultimate Game AI for Godot Beginners

Summary

Title: Ultimate Game AI for Godot Beginners

Price: $74.99

Average Rating: 4.3

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

What is a Game AI and how can it improve your game

What are the main components of a Game AI

How to implement different Game AI Systems

How to put everything together in a Game Project

Who Should Attend

Beginners with Artificial Intelligence in Godot

Target Audiences

Beginners with Artificial Intelligence in Godot

By the end of this course you will implement your own AI System.

Find out the key components of a professional Game AI: Decision Making, Pathfinding and Compete & Collaborate.

Decision Making

Realtime decision making is one of the key components when creating a solid Game AI.

There are many ways to achieve this, be it either Finite State Machines, Behavior Trees, Planning.

The course focuses on Hierarchical Finite State Machines, an improvement over the original State Machines.

HFSM are currently used in modern games like Doom 2016. They are easy to understand and powerful.

Learn how a Finite State Machine works and how to use a Hierarchical State Machine for your own game project.

Pathfinding

Once a decision is made, the AI Agent needs to move from A to B. Here is where pathfinding comes into play.

In these days, the pathfinding component is integrated in the game engine itself.

In the hands-on project we will make use of Godot’s Navmesh System.

This course also focuses on teaching the core concepts of how a pathfinder works.

Learn how a pathfinder works and how to create one from 0.

Find out how to use Godot’s Navmesh in a Game AI project.

Discover how to create cover points and use them accordingly when picking a final destination.

Compete & Collaborate

The last piece of the puzzle of a great AI is also in this course!

Having the AI Agents not only detect what’s around them by using sensors but also communicatebetween is a must in modern games.

Learn how to implement range, field of view, raycast, hit detection and communication.

Find out how to give unique personalities to your AI Agents for a superior game experience

AI Personality: Aggressive

Meet the Agressive AI! Made to seek & kill with a low chance of retreat, this is the perfect killing machine!

It’s main features are a linear projectile, a range sensor combined with raycast and a low chance of retreat.

Learn how to put together an AI Agent that seeks to kill.

AI Personality: Defensive

Combining attacking with defense is another way to approach a fight. And this is how this AI operates.

Its main features are rocket projectiles, range/raycast sensors and a 50-50% attack/retreat chance.

Learn how to put together a balanced AI Agent that not only seeks the target but also the nearest good cover.

AI Personality: Tactical

This AI never attacks directly. By having a long range sensor and no raycast, once the enemy is detected a vantage point will be also determined.

The Tactical AI goes to cover, adjusts for missed hits and fires a long-range projectile.

Learn how to put together an AI Agent that uses long-range projectiles, adjusts for errors.

Full Game AI Project Included

You will get not only the examples, but also a full project that features an AI System ready to be used in a game – yes, yours included!

What you will be getting:

Relevant examples for each implementation part

Full modular project that you can explore and reuse for your game

Hierarchical Finite State Machinesare used to implement the AI logic

Documented Source Code files in C#

3 Types of AIs: Aggressive, Defensive and Tactical

3 Projectile Types: Shell, Rocket and Mortar

2 Types of Firing mode: Normal and Burst

2 Patrol modes: Waypoints, Random Movement (interchangeable at runtime)

AI Communication System – propagate information between agents

Full Player Movementand Firing System

Game Assets – Buildings, Tanks and props

Everything properly organized in a tidy file structure, prefabs, modular components and more

Course Curriculum

Chapter 1: Game AI – Introduction

Lecture 1: Dont Skip This!

Lecture 2: What is Game AI and Why should You Care?

Lecture 3: Different Types of Game AI

Lecture 4: Decision Systems

Chapter 2: Understanding the Environment

Lecture 1: Navigating the Game World

Lecture 2: Grids

Lecture 3: Graphs

Lecture 4: Navmesh

Chapter 3: Finite State Machines

Lecture 1: General Concepts

Lecture 2: Implementing a FSM in Godot

Lecture 3: FSM Example in Godot

Chapter 4: From A to B – Pathfinding!

Lecture 1: How Pathfinding actually works

Lecture 2: Anatomy of a Pathfinder

Lecture 3: Breadth First Search Example

Lecture 4: Godots Navmesh

Chapter 5: Sensors

Lecture 1: Sensing the Game World

Lecture 2: Implementing Range Detection

Lecture 3: Implementing Field of View

Lecture 4: Implementing Raycasts

Lecture 5: Implementing Hit Detection

Chapter 6: Downloadables

Lecture 1: How to get the most out of the project (downloadables here)

Chapter 7: Full Game AI Project. Explained

Lecture 1: Main Player Overview

Lecture 2: Tank Projectiles

Lecture 3: The Sensor Manager

Lecture 4: HP System

Lecture 5: AI Overview

Lecture 6: System / Tank Mover

Lecture 7: System / Waypoints

Lecture 8: System / Communication

Lecture 9: System / Target Handler

Lecture 10: System / Cover

Lecture 11: FSM / Patrol

Lecture 12: FSM / Retreat

Lecture 13: FSM / Attack

Chapter 8: Extra

Lecture 1: GDScript Intro / Variables

Lecture 2: GDScript Intro / Operators

Lecture 3: GDScript Intro / Flow Control

Lecture 4: GDScript Intro / Functions

Lecture 5: Data Structures

Instructors

Adrian / Redefine Gamedev
Game Developer

Rating Distribution

1 stars: 0 votes

2 stars: 3 votes

3 stars: 5 votes

4 stars: 10 votes

5 stars: 31 votes

Frequently Asked Questions

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