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Artificial Intelligence in Unreal Engine 5

Artificial Intelligence in Unreal Engine 5

Instructor: Packt - Course Instructors

Included with

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15 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

15 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Discover the fundamentals of AI development in video games
Understand and implement key components of the Unreal Engine AI framework
Design and develop engaging AI behaviors using behavior trees and navigation systems

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There are 15 modules in this course

This course introduces the powerful integration of artificial intelligence with Unreal Engine 5, empowering game developers to create dynamic and intelligent AI systems. By focusing on Blueprints and C++, you will gain hands-on experience in designing immersive AI behaviors for next-gen games. This is a crucial skill for modern game development, where AI-driven gameplay is a core component.

Throughout the course, you will master the essential tools and techniques for building responsive AI systems in Unreal Engine 5. You will learn to utilize the AI framework, behavior trees, and navigation systems to develop rich, interactive game experiences. Whether you're a beginner or looking to refine your skills, this course provides practical insights into AI development within UE5. What sets this course apart is its real-world approach. It combines foundational AI theory with practical application, helping you build fully functional AI behaviors from the ground up. This hands-on method ensures you can implement what you've learned immediately in your projects. Game developers and Unreal Engine users with basic C++ knowledge will benefit most from this course. If you're looking to elevate your game development skills and bring dynamic AI elements to your projects, this course is for you.

In this section, we introduce AI fundamentals in game development, focusing on agent movement, rule-based behaviors, and pathfinding algorithms for Unreal Engine applications.

What's included

2 videos2 readings1 assignment

In this section, we explore Unreal Engine AI tools, focusing on Navigation System, Behavior Trees, Blackboards, Mass Entities, and Smart Objects for creating intelligent virtual agents.

What's included

1 video2 readings1 assignment

In this section, we explore the Unreal Engine Navigation System, focusing on AI movement, pathfinding algorithms, and testing with project templates to enhance realistic AI behavior in virtual environments.

What's included

1 video3 readings1 assignment

In this section, we explore setting up a navigation mesh in Unreal Engine, creating AI agents, and applying modifiers to enhance pathfinding in game environments.

What's included

1 video4 readings1 assignment

In this section, we explore dynamic navigation mesh generation, query filters for movement influence, and agent avoidance techniques to enhance AI behavior in Unreal Engine.

What's included

1 video4 readings1 assignment

In this section, we explore nav mesh optimization techniques, analyze resolution for performance, and debug navigation system issues to enhance AI agent movement efficiency.

What's included

1 video2 readings1 assignment

In this section, we explore behavior trees and Blackboards for AI decision-making in Unreal Engine, focusing on node types, execution order, and state management to create dynamic game experiences.

What's included

1 video2 readings1 assignment

In this section, we explore behavior tree implementation in Unreal Engine, focusing on tasks, services, and blackboards to create dynamic AI decision-making for game agents.

What's included

1 video8 readings1 assignment

1 video Total 1 minute

Setting Up a Behavior Tree - Overview Video 1 minute

8 readings Total 80 minutes

Introduction 10 minutes
Declaring Properties 10 minutes
Implementing Functions 10 minutes
Creating a Behavior Tree 10 minutes
Implementing Behavior Tree Tasks and Services 10 minutes
Implementing the BatteryCheck Service 10 minutes
Setting Up a Behavior Tree on an Agent 10 minutes
Creating the Controller Blueprint 10 minutes

1 assignment Total 10 minutes

Behavior Tree Fundamentals 10 minutes

In this section, we explore extending behavior trees in Unreal Engine by implementing custom tasks, designing efficient decorators, and debugging AI logic for improved character responsiveness and maintainability.

What's included

1 video9 readings1 assignment

1 video Total 1 minute

Extending Behavior Trees - Overview Video 1 minute

9 readings Total 100 minutes

Introduction 10 minutes
Creating the BaseWeaponComponent Class 20 minutes
Implementing a Target Class 10 minutes
Making the Weapon Shoot 10 minutes
Understanding Decorators 10 minutes
Understanding Services 10 minutes
Understanding Tasks 10 minutes
Creating the Blackboard 10 minutes
Finishing the AI Logic 10 minutes

1 assignment Total 10 minutes

Behavior Tree Fundamentals and Implementation in Unreal Engine 10 minutes

In this section, we explore the Unreal Engine Perception System, focusing on implementing AI perception components, configuring stimuli, and debugging to enhance agent behavior and realism.

What's included

1 video5 readings1 assignment

1 video Total 1 minute

Improving Agents with the Perception System - Overview Video 1 minute

5 readings Total 60 minutes

Introduction 10 minutes
Adding Perception to an Agent 20 minutes
Improving the Blackboard 10 minutes
Enabling Perception Debugging 10 minutes
Creating Perception Stimuli 10 minutes

1 assignment Total 10 minutes

AI Agent Perception and Control 10 minutes

In this section, we explore the Environment Query System (EQS) in Unreal Engine, focusing on setting up queries, integrating them into behavior trees, and enabling AI agents to make environment-aware decisions.

What's included

1 video3 readings1 assignment

In this section, we explore using state trees in Unreal Engine to design adaptive AI behaviors, focusing on structured decision-making and integration with game systems.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Using Hierarchical State Machines with State Trees - Overview Video 1 minute

7 readings Total 80 minutes

Introduction 10 minutes
Data Binding 10 minutes
Creating the Noise Emitter Class 10 minutes
Creating the Noise Emitter State Tree 10 minutes
Testing the Noise Emitter 20 minutes
Implementing the State Tree 10 minutes
Implementing the Resume State 10 minutes

1 assignment Total 10 minutes

Exploring State Trees in AI Behavior Design 10 minutes

In this section, we explore the Mass framework for efficient object management in Unreal Engine. Key concepts include configuring MassEntityConfigAsset and designing spawn blueprints for scalable AI systems.

What's included

1 video4 readings1 assignment

1 video Total 1 minute

Implementing Data-Oriented Calculations with Mass - Overview Video 1 minute

4 readings Total 40 minutes

Introduction 10 minutes
Creating a MassEntityConfigAsset 10 minutes
Creating the Audience Blueprints 10 minutes
Enabling the Automatic Processor Registration 10 minutes

1 assignment Total 10 minutes

Data-Oriented Calculations in Mass Framework 10 minutes

In this section, we explore Smart Objects in Unreal Engine to create interactive AI and player environments. Key concepts include defining Smart Object logic, using environment queries, and enhancing immersion through context-aware behavior.

What's included

1 video3 readings1 assignment

In this section, we explore C++ implementation in Unreal Engine, covering classes, delegates, interfaces, and garbage collection mechanisms for practical game development.

What's included

1 video3 readings1 assignment

Instructor

Packt - Course Instructors

Packt

1,560 Courses 437,588 learners

Offered by

Packt

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

Artificial Intelligence in Unreal Engine 5

Artificial Intelligence in Unreal Engine 5

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 15 modules in this course

Getting Started with AI Game Development

What's included

Introducing the Unreal Engine AI System

What's included

Presenting the Unreal Engine Navigation System

What's included

Setting Up a Navigation Mesh

What's included

Improving Agent Navigation

What's included

Optimizing the Navigation System

What's included

Introducing Behavior Trees

What's included

Setting Up a Behavior Tree

What's included

Extending Behavior Trees

What's included

Improving Agents with the Perception System

What's included

Understanding the Environment Query System

What's included

Using Hierarchical State Machines with State Trees

What's included

Implementing Data-Oriented Calculations with Mass

What's included

Implementing Interactable Elements with Smart Objects

What's included

Appendix - Understanding C++ in Unreal Engine

What's included

Instructor

Offered by

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

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