Artificial Intelligence

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.

Course content

  1. Introduction
  2. Cars
  3. Waypoints
  4. NavMeshes
  5. Moving As One
  6. Let's Start Thinking
  7. Behaviour Trees
  8. Goal-Orientated Action Planning
  9. End Words
  • You should be familiar with C# and the Unity Game Development Engine.
    • Duration - 10 DAYS
    • Batch 1 - 5 Apr - 17 Apr,2020
    • Batch 2 - 20 Apr - 1 May,2020
    • Batch 3 - 5 May - 18 May,2020