By the end of this course you will

implement your own AI System

✔️ DECISION MAKING


✔️ PATHFINDING


✔️ 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.

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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.

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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 communicate between is a must in modern games.

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

"

I've really enjoyed the Ultimate Godot Game AI for Beginners course. The pacing and details were spot on for me. The included project is a great working example of how to integrate everything. Even the bonus material was good to know for the beginner. I would gladly recommend this course to anyone interested in taking their project from just a tech demo to a real game with functional opponents.

-- Todd Z.

"

PERSONALISED AI AGENTS

FOR INCREASED IMMERSION

AGGRESSIVE AI


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.

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

DEFENSIVE AI


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.

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

TACTICAL AI


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.

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

EVERYTHING. PUT TOGETHER


Full Game AI Project



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 Machines are used to implement the AI logic
  • Documented Source Code files in GDScript
  • 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 Movement and Firing System
  • Game Assets - Buildings, Tanks and props
  • Everything properly organized in a tidy file structure, prefabs, modular components and more


Everything to get you started with AI in Godot


The course covers the following topics:

Part 1 (Game AI Concepts)

  • Introduction to Game AI
  • How does the AI perceive the Environment
  • Decision Making - Finite State Machines
  • From A to B - Pathfinding
  • Sensors - Range, Field of View and Raycast

Part 2 (Full Game AI Project)

  • Full Project with Assets
  • Videos explaining different systems (projectiles, health, FSM, sensors, and much more)

Part 3 (Bonus)

  • GDScript Introduction
  • Data Structures for Game AI

This course is for anyone interested learning more about how to implement and use AI Systems in Godot Engine. If you are beginner, medium or advanced, you are covered.

Skills required:

  • Basic understanding of the Godot Engine
  • How to create a Node, a Scene, Script


"

This is a great course with a lot of useful examples about AI in game development

-- Paul S.

"

Course Curriculum

  Game AI - Introduction
Available in days
days after you enroll
  Understanding the Environment
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  Finite State Machines
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  From A to B - Pathfinding!
Available in days
days after you enroll
  Sensors
Available in days
days after you enroll
  Downloadables
Available in days
days after you enroll
  Full Game AI Project. Explained
Available in days
days after you enroll
  Bonus
Available in days
days after you enroll
  Review & Feedback
Available in days
days after you enroll

About me, your AI Coach


Hey, I'm Adrian! A game developer and youtuber.

I started making games in 2005. Back then, there were no game engines like Unity, Unreal, or Godot.

My experience spans more than just development. During high school I put together and led a team of game developers which participated in national gamedev contests, even won some 😀

At the university, I started a gamedev club to teach students how to develop games.

I also released games on steam, together with a team: Desertland2115Empire of the Fallen Steel, and War of the Wasteland.

Professionally, I worked with Unity, held presentations about various gamedev topics such as pathfinding, networking, steam – even at Nordic Game Conference in Sweden.

My latest project is Redefine Gamedev, the Youtube channel focused on delivering awesome and unique gamedev content. Under REGA I organized GoGodotJam 2x times for an audience of over 10 000 people.

Now I want to share my knowledge with you, to help you reach your goals faster.


Frequently Asked Questions


When does the course start?

It starts now and ends never. You get unlimited access to it.


What if I'm unhappy with the course

I don't want you to be unhappy with the product! Contact me up until 30 days from the purchase date and I will fully refund you - no questions asked.


Can this AI work for different types of Games?

If you are creating a FPS game, you can easily replace the tank with 3D characters and it will work.

For some game types, this AI might require adjustments to work.


What versions of Godot does it support?

Currently 3.x. The project will be updated once the 4th version of Godot gets officially released.


What prior knowledge should I have?

If you are Beginner, Medium or Advanced and want to learn more about AI in Godot then this Course is for You!


Why HFSM and not BT or PLANNING?

Finite State Machines are one of the easiest ways to implement AI behavior. They do lack a lot of things and this is where Hierarchical Finite State Machines come.

I've chosen this system because it's used in modern games like Doom 2016 and it's very easy to understand and use while being powerful.

Issues with the payment?


Contact me on discord (Mithy#7718) or on mail ([email protected]) and we will get it sorted out.

Thanks for your understanding!