Learn game development w/ Unity | Courses & tutorials in game design, VR, AR, & Real-time 3D

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Editor Essentials Scripting Graphics & Visual Effects 2D Mobile & Touch XR Physics User Interface For Educators AI & Navigation

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Build skills in Unity with guided learning pathways designed to help anyone interested in pursuing a career in gaming and the Real Time 3D Industry.

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Create a Unity application, with opportunities to mod and experiment.

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Find what you’re looking for with short, bite-sized tutorials.

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In this lecture students will create a helpful method to assist in moving an agent around on the navmesh and reduce repetitive code.

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Leaf and Action Nodes

In this lecture students will work begin writing the code for leaf nodes and get their NavMeshAgent character moving.

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In this lecture students will learn how to write code to traverse a behaviour tree and print out the structure.

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Setting up a GOAP Environment

This lecture introduces the starter file that will be used for this section. Each part of the game project will be examined with respect to the nav mesh setup, the agents and the simulation about to be created.

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Using A* with Waypoints Part 1

In this tutorial students will learn about graphs and why they are a fundamental data structure in AI for controlling behaviours, navigation, animations and much more.

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Executing a Simple Plan

In this tutorial students will write the code that controls the execution and creation of a plan.

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In this tutorial students will learn how to add a dangerous obstacle to a crowd simulation and program the agents to flee for a specified amount of time.

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Creating a City Crowd

In this tutorial students will set up a NavMesh with numerous animated humanoid agents and begin programming a crowded street scene. Next, students will finalise their work on creating a crowded city scape where humanoid agents walk from one end of a sidewalk to another.

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In this tutorial students will take a look at the basics behind the hide behaviour. In it we will create a simple hide method that will have the agent hide behind the closest obstacle in the environment. Next, students complete the development of the hiding behaviour and work to calculate a more accurate hiding location and reduce the number of calls to the method in the update.

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In this tutorial students will examine one method of producing a wandering behaviour that will have the agent freely walk around the environment with smooth randomness.

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