Packt
Advanced Game AI with Behavior Trees in Unity 6
Packt

Advanced Game AI with Behavior Trees in Unity 6

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Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Create and optimize behavior trees for intelligent AI in Unity 6.

  • Design advanced AI behaviors, such as dynamically prioritized tasks and cooperative agents.

  • Implement AI systems that adapt to environmental changes and agent interactions.

  • Debug and troubleshoot complex behavior tree structures to ensure smooth gameplay.

Details to know

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Recently updated!

July 2025

Assessments

9 assignments

Taught in English

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There are 8 modules in this course

In this module, we will introduce the course structure, guide you through connecting with the H3D student community, and show you how to set up pathfinding in Unity. Additionally, we’ll walk you through the process of updating to Unity 6 to ensure you're working with the latest features for your game development projects.

What's included

4 videos1 reading

In this module, we will dive deep into the core concepts of behavior trees, exploring how they facilitate intelligent decision-making in AI systems. You'll learn how to create and debug behavior trees using nodes, sequences, selectors, and conditions, and also how to extend and implement custom actions. Finally, we will guide you through integrating NavMesh for smooth AI navigation.

What's included

9 videos1 assignment1 plugin

In this module, we will introduce advanced techniques for enhancing behavior tree functionality, such as using inverters, repeaters, and dynamic node prioritization. You’ll learn how to optimize AI performance with coroutines and refine AI behaviors with random selectors and sorting methods. We will also explore practical implementations like creating a generic agent class and ensuring node states accurately reflect GameObject conditions.

What's included

9 videos1 assignment1 plugin

In this module, we will explore how to refactor and optimize behavior trees for scalability. You'll learn how to manage complex behaviors, including fleeing mechanics, and create dynamic trees that adapt to conditions and agent dependencies. We’ll also guide you through challenges such as adding co-dependencies and implementing fallback behaviors to ensure AI agents are always responsive and capable.

What's included

8 videos1 assignment1 plugin

In this module, we will introduce the Art Lovers AI agents and challenge you to implement their behavior patterns. You’ll learn how to modify agent properties dynamically using coroutines and repeat behaviors efficiently with the loop decorator node, enhancing the complexity and responsiveness of your AI agents.

What's included

4 videos1 assignment1 plugin

In this module, we will focus on the impact of environmental factors and inter-agent cooperation. You’ll learn to use blackboards for AI data management, create dynamic agent behaviors based on environmental conditions, and design collaborative behaviors that foster teamwork. We’ll also explore how to structure behavior trees to manage dependencies and optimize AI systems for more interactive and engaging gameplay.

What's included

8 videos1 assignment1 plugin

In this module, we will put your AI skills to the test with two exciting challenges. First, you’ll create dynamic AI patrols for cop characters, then implement an action-packed cop-and-robber scenario, utilizing everything you’ve learned to design responsive and intelligent AI behaviors.

What's included

2 videos1 assignment1 plugin

In this module, we will provide essential debugging techniques for troubleshooting and improving complex behavior trees. You’ll also hear from Penny, offering final insights and advice as you wrap up the course and continue your journey in game AI development.

What's included

2 videos3 assignments

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Instructor

Packt - Course Instructors
Packt
756 Courses157,214 learners

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