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The Beginner’s Guide to Artificial Intelligence in Unity

(12 customer reviews)
Product is rated as #140 in category Development

What you’ll learn

  • Design and program NPCs with C# in Unity
  • Explain how AI is applied in computer games
  • Implement AI-related Unity Asset plugins into existing projects
  • Work with a variety of AI techniques for developing navigation and decision making abilities in NPCs

Do your non-player characters lack drive and ambition?  Are they slow, stupid and constantly banging their heads against the wall? Then this course is for you.  Join Penny as she explains, demonstrates and assists you in creating your very own NPCs in Unity with C#. All you need is a sound knowledge of Unity, C# and the ability to add two numbers together.

In this course, Penny reveals the most popular AI techniques used for creating believable character behaviour in games using her internationally acclaimed teaching style and knowledge from over 25 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 teach you about the fundamental AI techniques used in today’s games.  You’ll join in as NPCs are programmed to chase, patrol, shoot, race, crowd and much more.

Learn how to program and work with:

  • vectors
  • waypoints
  • navmeshes
  • the A* algorithm
  • crowds
  • flocks
  • animated characters
  • vehicles

Contents and Overview

The course begins with a detailed examination of vector mathematics that sits at the very heart of programming the movement of NPCs. Following this, systems of waypoints will be used to move characters around in an environment before examining the Unity waypoint system for car racing with AI controlled cars.  This leads into an investigation of graph theory and the A* algorithm before we apply these principles to developing navmeshes and developing NPCs who can find their way around a game environment.  Before an aquarium is programmed complete with autonomous schooling fish, crowds of people will be examined from the recreation of sidewalk traffic, to groups of people fleeing from danger. Having examined the differing ways to move NPCs around in a game environment, their thinking abilities will be discussed with full explanations and more hands-on workshops using finite state machines and behaviour trees.

The follow-along workshops included in the course come with starter Unity asset files and projects complete with solutions.  Throughout, there are also quizzes and challenge exercises to reinforce your learning and guide you to express your newfound knowledge.

At the completion of this course you will have gained a broad understanding of what AI is in games, how it works and how you can use it in your own projects.  It will equip you with a toolset to examine any of the techniques presented in more depth to take your game environments to the next level.

What students are saying about this course:

  • This has been my favourite Udemy-Unity course so far. It took me from literally 0% knowledge of how game AI is achieved, and took me to a whole new level. Waypoints, pathfinding, state machines, etc etc etc are all covered in-depth and will reveal the magic (spoiler alert: it isn’t magic) behind making your computer characters seem like they really have a mind of their own.
  • Oh My God. I love her way of teaching things. I haven’t finished this course yet. But all i can say is that it is another brilliant course from her. Artificial intelligence by itself is a tricky thing to do. And before starting this course i never thought that i will understand anything in it. But i was wrong. With her style of teaching, you will learn how to move your characters in an ”intelligent“ way. This course is perfectly sliced and the pace is wonderful.

Who this course is for:

  • Anyone interested in learning how to program their own non-player characters (NPCs).
  • Anyone interested in seeing how artificial intelligence is applied in computer games.

12 reviews for The Beginner’s Guide to Artificial Intelligence in Unity

4.3 out of 5
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  1. Santosh Ekka

    It would be better if challenges were added between lectures. It would make it more hands on.

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  2. Ömer TEKELİ

    I had basic knowledge about AI, before taking this course. I am very happy to learn new things. Generally, I liked the telling style of the course, especially I want use behave tree in my project. Only GOAP section can be better than now. I know there is a course about only GOAP, but in this course, there is no more details, so understanding was difficult for me. As a result, I suggest this course who wants to create AI.

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  3. Carlos Latorre

    I really like all courses from this instructors, however cant give 5 stars to this one, because simply the copy-paste idea flow doesnt work for me… At least the course is cool to show possibilities as a future research info

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  4. Andrew Tucker

    Great Pacing. Fun resources and examples.
    Lots of fundamentals with real code to come back to whenever you need it too..

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  5. Giyong Seo

    Thank you. Teacher.

    I`m a korean and you recorded your lecture by english (yes. it is natural)

    Even if that I understand well because you spoke very easy english.
    (and thanks about subtitle too)


    And now I bought your
    another ‘8’ lessons.

    Yes, your lecture is so perfect to me.

    Thank you again.

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  6. Nima Pakpoor

    It’s not an easy topic but it’s well introduced. It’s not engouh to feel comfortable with behaviour tree anf goap but it’s good starting point to learn more.

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  7. Isaac Navarro

    I was taking a Unity course and there came a time when I needed to understand how to perform operations with vectors. This course is what I needed.

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  8. Neil Hunter

    I found the course very helpful in all sections. It was great learning a bit about behaviour trees and learning about GOAP is making me want to go in that direction for one of my projects. I plan to take the advanced Behaviour trees and GOAP courses next.

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  9. Muhammad Syirajuddin S

    it’s easy to follow

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  10. Tuisku Penttilä

    Good info, but getting outdated by developments with unity

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  11. Marco Antonio Pangoni Balbino Santos

    The course explains very well the theory behind the things, but the pratical side is just given to us without explanation and the code is a little messy, it would be better if it was writed line by line in the videos. So it seens like just an tutorial. And based in my experiences, the pratical side must be teached alongside the theorical,.
    But seens like her other courses took a different approuch so I’m looking forward to give a chance for then

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  12. Luke Fentress

    Exactly what I needed. Explains basics very well, provides the vector math clearly and provides good examples.

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    The Beginner’s Guide to Artificial Intelligence in Unity
    The Beginner’s Guide to Artificial Intelligence in Unity


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