- Level -Intermediate
- Prerequisites - At least one course from AI Intro, and Introduction to Metaverse
- Understanding the entire process of current of building and identifying asset applicability for various metaverse experiences
- Assessments - Micro Assessment weekly, Full Assessment last week.
- Job Roles Applicability - Modeling, Asset Development, 3D Artist.
Week 1 - 3D Asset Formats and Creation Strategies
Learning OutcomeLearn how the current process of creating 3D Assets is done, and understand the entire flow to appreciate the benefits of generative AI.
1.1 Current Process of Creating an Asset, and exposure to various tools
1.2 Key areas of discrepancies, and quality identification techniques.
1.3 Customization and altering assets of current existence
Practical Component
Understand the process of preparation of assets for the purpose of the metaverse, the traditional method.
Week 2 - Generative AI Based Design
Learning OutcomeUnderstand the role of generative AI in Metaverse content creation, including asset generation, textures, and animations.
2.1 Introduction to Generative AI concepts and applications in Metaverse
2.2 Overview of 3D asset generation, textures, and animation with AI tools
2.3 Exploring foundational AI-driven design software (e.g., DALL-E, Stable Diffusion for textures)
Practical Component
Experience the difference of generative AI created assets and understand procedure.
Week 3 - Generative AI Based Environment Creation
Learning OutcomeLearn the essentials of creating environments for Metaverse spaces using AI.
3.1 Introduction to AI-powered 3D model creation for environment design
3.2 Integrating generative textures for landscapes and environmental elements
3.3 Experimenting with different scenes, lighting, and material applications
Practical Component
Design and experience environments made by generative AI.
Week 4 - Generative AI for Character Design
Learning OutcomeDevelop skills to create unique characters for Metaverse environments using generative AI.
4.1 Basics of AI-driven character generation and customization
4.2 Integrating AI tools to design character textures, features, and outfits
4.3 Testing character movement and interactivity within environments
Practical Component
Practical creation of unique characters using Generative AI based techniques.
Week 5 - Customization and Functionality with Gen AI
Learning OutcomeExtending and achieving custom functionality with Generative AI.
5.1 Creating Interactive Functions with Generative AI to achieve the various functionalities.
5.2 Applying generative AI for dynamic, evolving content based on user progress
5.3 Creating interactive Objects and UI elements with Generative AI.
Practical Component
Practical Demonstrations of integrating functionality through Generative AI technology.
Week 6 - Project and Assessment
Learning OutcomeHere students work to create a new project using the above learning from planning, designing, and character, environment, and experience creation.
6.1 Storyline, and first samples of assets.
6.2 Final Work Prototype with basic assessment from peers.
6.3 Final Presentations and Scoring of outcome Achieved.
Practical Component
Practical Demonstrations of student made models at various stages, with fixes, and live demonstrations to a committee of peers or prospective recruiters.