A connected, hands-on course in Generative AI for 3D Modeling — progress through 9 practical labs from Get Started with Generative AI for 3D Modeling in Meshy and Tripo to Export Production-Ready Assets for Games, 3D Printing and Visualization.
📘 Course Page · 🧪 Hands-On Labs · 📖 Learner Guide · 🐛 Report Bug · 💡 Request Feature
Note
These are the official hands-on lab materials for the commercial course:
Course Code: C162 · by Tertiary Courses / Tertiary Infotech
Duration: 1 day · 7.5 instructional hours
Course page: https://www.tertiarycourses.com.sg/generative-ai-for-3d-modeling.html
The 9 labs form one connected practical journey. Complete them in order so each verified output can support the activities that follow.
| # | Activity | Outcome |
|---|---|---|
| 1 | Get Started with Generative AI for 3D Modeling in Meshy and Tripo | Sign in to Meshy AI and Tripo AI, generate your first quick 3D model, and learn the generate–preview–refine loop that every later lab uses. |
| 2 | Prompt for Geometry, Style and Detail | Turn the supplied Aurora reference pack into a strong, structured 3D prompt that controls geometry, style and level of detail, and save it as a reusable template. |
| 3 | Generate the Aurora Lamp from Text (Text-to-3D) | Run text-to-3D with your Aurora prompt, generate and compare candidates, control quality and polygon count, and download the best result as a GLB. |
| 4 | Generate the Aurora Lamp from a Reference Image (Image-to-3D) | Prepare a reference image, run image-to-3D, and compare the result against your text-to-3D model to choose the stronger base for the rest of the project. |
| 5 | Generate and Apply AI Textures and Materials | Use AI text-to-texture to generate PBR materials — brass, walnut and enamel — for the Aurora lamp, apply them, and export the fully-textured model. |
| 6 | Import Your AI-Generated Model into Blender | Import the textured Aurora model into Blender, set its scale, orientation and origin, and inspect the mesh to see what needs fixing. |
| 7 | Clean Up the Mesh and Retopologise | Fix mesh problems and retopologise the Aurora lamp to a clean, lighter, production-ready surface with correct normals. |
| 8 | UV-Unwrap and Apply and Adjust the AI Textures in Blender | UV-unwrap the cleaned Aurora mesh, transfer or reapply the AI PBR textures onto it, set up the materials in the shader editor and adjust them. |
| 9 | Export Production-Ready Assets for Games, 3D Printing and Visualization | Export the finished Aurora lamp three ways — a game-ready glTF/FBX, a 3D-print-ready STL, and a visualization render with an OBJ — and package the asset kit. |
This repository contains the complete lab and courseware package for Generative AI for 3D Modeling (C162) by Tertiary Courses / Tertiary Infotech. The practical activities build progressively from Get Started with Generative AI for 3D Modeling in Meshy and Tripo to Export Production-Ready Assets for Games, 3D Printing and Visualization, with explicit checks that help learners verify each result before moving on.
- Complete 9 connected hands-on activities and carry their outputs through one coherent learning journey.
- Practise with Blender and the supporting resources supplied in the repository.
- Begin with Get Started with Generative AI for 3D Modeling in Meshy and Tripo and finish with Export Production-Ready Assets for Games, 3D Printing and Visualization.
- Apply safe data handling, evidence checks and named human review before using AI-generated or automated outputs.
📖 Full walkthrough: see the Learner Guide for the complete course narrative, and labs/README.md for the lab index. Slides, the Learner Guide and the Lesson Plan are in courseware/.
| Category | Details |
|---|---|
| Duration | 1 day · 7.5 instructional hours |
| Delivery | Instructor-led, hands-on practical labs |
| Core tools | Blender |
| Practical work | 9 connected labs with verification steps |
| Courseware | PowerPoint and PDF slides, Word and PDF guides, Markdown lab instructions |
START
Lab 1 Get Started with Generative AI for 3D Modeling in Meshy and Tripo
│
▼
Connected Practical Labs
Labs 1–9
│
▼
FINISH
Lab 9 Export Production-Ready Assets for Games, 3D Printing and Visualization
C162---Generative-AI-for-3D-Modeling/
├── README.md
├── LG-Generative AI for 3D Modeling (C162).md
│
├── labs/
│ ├── README.md # Start here: complete lab index
│ └── lab-*.md # 9 connected practical activities
│
└── courseware/
├── *.pptx / *.pdf # Trainer and learner slides
├── LG-*.docx / LG-*.pdf # Learner Guide
└── LP-*.docx / LP-*.pdf # Lesson Plan
- The accounts and software required for Blender. Follow the setup and access notes in each lab.
- Review
labs/tools.mdbefore class for environment, account and safe-use requirements. - A modern web browser and Git for cloning the materials.
- Synthetic or authorised data only. Do not place secrets, personal data or confidential material into an unapproved service.
- A named human reviewer for facts, calculations, decisions and any externally released output.
git clone https://github.com/tertiarycourses/C162---Generative-AI-for-3D-Modeling.git
cd C162---Generative-AI-for-3D-ModelingStart with labs/README.md, then complete Labs 1–9 in order. Each lab provides the activity context, practical steps and a way to verify the result.
Store each lab output in the suggested working folder and retain the evidence or review notes requested by the lab. Later activities depend on these approved outputs.
Contributions, corrections and improvements are welcome:
- Fork the repository.
- Create a feature branch:
git checkout -b feature/my-improvement. - Commit your changes:
git commit -m "Add my improvement". - Push the branch:
git push origin feature/my-improvement. - Open a Pull Request.
Found a bug or have an idea? Open an issue.
This material is provided for educational use as part of the commercial course Generative AI for 3D Modeling (C162). © Tertiary Infotech Pte. Ltd. All rights reserved.
Tertiary Infotech Pte. Ltd. — Tertiary Courses
Course: Generative AI for 3D Modeling (C162)
- The teams behind Blender.
- Course trainers and learners of C162.
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