Introduction to AI and Navigation Systems in Unreal Engine
Learn to build AI for Unreal Engine 4.7.6! Create intelligent game characters that navigate levels, target players, and attack. Perfect for game developers.
Course Content
Introduction to AI and Navigation Systems in Unreal Engine is an advanced Pluralsight course taught by Patrick Haslow. It runs 2h 3m, is taught in English, and includes a certificate of completion. Learners rate it 4.0 out of 5 from 30 reviews. It is a paid course, first published July 2021.
Learn to build game AI in Unreal Engine 4.7.6! This tutorial guides you through creating intelligent agents capable of level navigation, player targeting, and dynamic attacks.
Discover the power of Behavior Trees within Unreal Engine, an efficient and flexible system for designing complex AI behaviors with virtually endless possibilities. We'll delve into how to leverage Unreal Engine's robust navigation system to generate path data for a wide range of AI behaviors.
Key topics include:
- NavMesh Navigation: Creating pathfinding for your AI, enabling them to traverse complex environments.
- Dynamic Obstacle Avoidance: Teaching your AI to navigate around moving objects and actors within the game world.
- Vertical Navigation: Implementing the ability for AI to jump down from elevated areas.
- Scalable AI: Ensuring AI agents of different sizes can effectively navigate the same game level geometry.
By completing this tutorial, you'll gain a solid understanding of the fundamental techniques needed to develop effective artificial intelligence for any game scenario. Master AI development in Unreal Engine and bring your game characters to life!
Software Required: Unreal Engine 4.7.6
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