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Coursera

Unreal Engine: Master UMG, AI & Blueprints

EDUCBA via Coursera

Overview

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Master the essential game development workflows in Unreal Engine 4 by learning how to build responsive user interfaces, create intelligent AI behaviors, and develop efficient gameplay systems using Blueprints. This hands-on course takes you through Unreal Motion Graphics (UMG), AI programming, Behavior Trees, and Blueprint array management with a structured, progressive learning path. You'll begin by creating UMG-based interfaces, including HUDs, layout panels, grid systems, interactive widgets, and responsive UI components. Next, you'll explore AI fundamentals by implementing AI Controllers, Behavior Trees, selectors, and task logic to create dynamic in-game character behavior. Finally, you'll strengthen your Blueprint scripting skills by connecting nodes, managing arrays, and optimizing data handling for gameplay and UI development. Designed for aspiring game developers, game designers, and Unreal Engine learners, this course emphasizes practical implementation through guided exercises that reinforce both core concepts and real-world application. Each module builds on previous knowledge, helping you confidently design functional interfaces, configure adaptive AI systems, and organize Blueprint workflows using Unreal Engine 4. Whether you're expanding your Unreal Engine skills or strengthening your game development foundation, this course provides a focused pathway to building production-ready UI, AI, and Blueprint systems.

Syllabus

  • UMG Foundations
    • UMG Foundations introduces learners to the core principles of creating and managing user interfaces in Unreal Engine 4 using Unreal Motion Graphics (UMG). The module covers fundamental UI concepts including positioning, sizing, and layout panels, as well as hands-on development of simple HUD elements. Through practical examples, learners will gain the ability to design responsive and functional UI components that adapt to different screen resolutions and enhance player experience.
  • Layout Panels & Grid Systems
    • Layout Panels & Grid Systems equips learners with the skills to design structured, flexible, and visually balanced user interfaces in Unreal Engine 4 using UMG. This module covers various layout containers including Uniform Grid Panels, Grid Panels, Horizontal Boxes, Overlays, and Scale Boxes, along with practical methods for combining these elements to create responsive and visually engaging UI components such as progress bars. Through hands-on examples, learners will gain the ability to select, configure, and integrate the appropriate layout panels for different interface requirements.
  • Slotting and Interactive Elements
    • Slotting and Interactive Elements provides learners with the knowledge and skills to design, arrange, and control user interface components in Unreal Engine 4 using UMG. This module covers advanced layout handling with Canvas Panel slots, Size Boxes, Wrap Boxes, and Widget Switchers, along with interactive elements such as Scroll Boxes, Progress Bars, Slider Bars, and Spinners. Through practical exercises, learners will develop the ability to create flexible, responsive, and user-friendly UI layouts that enhance the gameplay experience.
  • Text Boxes & AI Basics
    • Text Boxes & AI Basics introduces learners to creating interactive text-based UI elements and integrating basic artificial intelligence controls in Unreal Engine 4 using UMG. The module covers text formatting, styling, and multi-line input handling, along with the implementation of throbbers for visual feedback. It then transitions into AI fundamentals, including AI Controllers, behavior setup, and simulation, enabling learners to design and test non-player character interactions and decision-making within the game environment.
  • Behavior Trees and AI Control
    • This module delves into the creation and optimization of AI behavior in Unreal Engine 4 using Behavior Trees and advanced AI control mechanisms. Learners will explore how to structure AI decision-making, execute dynamic tasks, and use selectors to manage complex choices. The lessons cover diagnosing and refining behavior flow, implementing specific AI tasks such as movement and focus, and ensuring efficient execution through clear and maintainable design. By the end, learners will be able to construct and manage sophisticated AI behavior systems capable of adaptive responses within gameplay environments.
  • Blueprints and Arrays
    • This module provides learners with a comprehensive understanding of array handling in Unreal Engine using Blueprints. It begins with foundational skills in creating projects, connecting nodes, and understanding array types such as integer arrays. Learners progress into advanced array operations including appending, inserting, and setting array elements with dynamic resizing. The module also covers efficient techniques for removing, looping, and clearing arrays, ensuring optimized data management for gameplay and UI development.

Taught by

EDUCBA

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5 rating at Coursera based on 14 ratings

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