Practical guide to AI in Unity
Practical guide to AI in Unity, available at $74.99, has an average rating of 4.8, with 27 lectures, based on 271 reviews, and has 13783 subscribers.
You will learn about Lay the foundation for a Colony-Survival Game like Rimworld or Oxygen Not Included Develop simple and complex practical AI Solutions for your games Create a simple AI with State Machines Make extensible State Machines with the State Pattern Develop a complex AI with Behaviour Trees Master the Behavior Designer Plugin Simulate an ecology with Genetic Algorithms This course is ideal for individuals who are Intermediate Gameprogrammers with an interest in AI in Unity or Gamedesigners with some Coding- and Unity-Background It is particularly useful for Intermediate Gameprogrammers with an interest in AI in Unity or Gamedesigners with some Coding- and Unity-Background.
Enroll now: Practical guide to AI in Unity
Summary
Title: Practical guide to AI in Unity
Price: $74.99
Average Rating: 4.8
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: €84.99
Quality Status: approved
Status: Live
What You Will Learn
- Lay the foundation for a Colony-Survival Game like Rimworld or Oxygen Not Included
- Develop simple and complex practical AI Solutions for your games
- Create a simple AI with State Machines
- Make extensible State Machines with the State Pattern
- Develop a complex AI with Behaviour Trees
- Master the Behavior Designer Plugin
- Simulate an ecology with Genetic Algorithms
Who Should Attend
- Intermediate Gameprogrammers with an interest in AI in Unity
- Gamedesigners with some Coding- and Unity-Background
Target Audiences
- Intermediate Gameprogrammers with an interest in AI in Unity
- Gamedesigners with some Coding- and Unity-Background
Learn how to create state of the art AI for video games using Unity.
I believe in a practical approach in learning so this course will be primarily project-based.You won’t just learn dry theory and forget everything within a matter of days but instead apply the learned concepts to two actual Unity-Projects:
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Catch: A simple digital replica of play every kid’s favourite game: catch
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Colony Simulation: A game like Rimworld or Oxygen Not Included, where you can’t control the NPCs directly, but instead they are controlled by the AI and you need to help them survive by making sure they’ve got enough to eat.
Also this course contains a free exclusive Behavior-Designer Educational-License, which would normally cost ~90$. 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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: AI – General
Chapter 2: State Machines
Lecture 1: State Machines Theory
Lecture 2: State Machines Example
Lecture 3: State Machine Exercise
Lecture 4: State Machine Exercise – Solution
Chapter 3: State Pattern
Lecture 1: State Pattern Theory
Lecture 2: State Pattern Example
Chapter 4: Behavior Trees
Lecture 1: Introduction
Lecture 2: Theory
Lecture 3: Theoretic Examples & Exercise1
Chapter 5: Behavior Designer
Lecture 1: Project Overview
Lecture 2: Our first Behavior Tree with Behavior Designer
Lecture 3: Exercise2 – Hunterbehavior
Lecture 4: Exercise 2 – Hunterbehavior – Solution
Lecture 5: Custom Actions
Lecture 6: Custom Conditions
Lecture 7: Behavior Designer – Variables
Lecture 8: Exercise3 – Custom Condition
Lecture 9: Exercise3 – Custom Condition – Solution
Lecture 10: Priorities & Conditional Aborts – Theory
Lecture 11: Priorities & Conditional Aborts – Example
Lecture 12: Exercise4 – Chickenbehavior
Lecture 13: Exercise4 – Chickenbehavior – Solution
Chapter 6: Genetic Algorithms
Lecture 1: Introduction
Lecture 2: Example
Lecture 3: Course Outro
Instructors
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Andreas Metz
Teacher and Indie-Gamedeveloper
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 10 votes
- 3 stars: 37 votes
- 4 stars: 86 votes
- 5 stars: 133 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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