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.
Artificial Intelligence in Unreal Engine 5
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
Details to know
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Recently updated!
March 2026
Assessments
15 assignments
Taught in English
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There are 15 modules in this course
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
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
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
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
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
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
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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.
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