Master Procedural Maze Generation - Unity 6 Compatible
Enhance your game environment creation skills by learning to automate dungeon and maze generation with Unity & Blender.
4.73 (394 reviews)

6 412
students
21 hours
content
Feb 2025
last update
$79.99
regular price
What you will learn
How to create modular models in blender that can snap together in Unity to form mazes and dungeons.
A variety of maze creation algorithms from simple random crawlers to mathematically perfect mazes.
How the scale, orientation and position of a mesh from Blender can be imported into Unity and manipulated with code.
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Our Verdict
The Master Procedural Maze Generation - Unity 6 Compatible course offers thorough lessons on maze algorithms and their combination with 3D modeling in Blender. While the initial sections leave a positive impression, some drawbacks emerge later in inconsistent C# coding practices and unclear explanations. Despite this, beginners can benefit from its overall structure and wealth of information on maze generation theory and implementation.
What We Liked
- Comprehensive coverage of procedural maze generation algorithms, including mathematically perfect mazes
- Detailed Blender modeling sections that provide a solid overview of 3D fundamentals and modular model creation
- Well-structured and organized content with an initial promise of thoughtful code architecture and OOP principles
- Excellent for beginners seeking to learn maze generation and combining it with 3D modeling from scratch
Potential Drawbacks
- Code architecture becomes confusing and bloated midway through the course, losing its initial promise
- Variable naming and organization in C# sections can be inconsistent and difficult to follow for intermediate users
- Blender guest instructor's pacing is too fast, lacks thorough explanations, and may lead to confusion or abandonment
- Assets from Blender modeling sections are not always included or easy to reference in the generative maze creation process
Related Topics
3632158
udemy ID
12/11/2020
course created date
24/11/2020
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