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Generative AI for 3D Modeling

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Generative AI for 3D Modeling

Course Code: C162

6 Review(s) | Add Your Review

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What's This Course About

Generative AI for 3D Modeling shows you how AI-assisted design tools can turn text descriptions, reference images and sketches into 3D models, and how to refine those models into production-ready assets. Generative AI is changing how designers, engineers and creators approach concept development, prototyping and visualisation, cutting long stretches of manual modelling down to minutes. The course is designed for product designers, engineers, architects, game and animation artists, and makers who want to bring AI into their 3D workflow.

You will begin with generative AI for 3D design concepts and modelling, exploring current text-to-3D and image-to-3D tools, writing effective prompts and generating multiple design options quickly. Next you will move to AI-assisted 3D model analysis, validation and refinement, learning how to inspect generated meshes, fix geometry and topology issues, check scale and proportions, and refine models in tools such as Blender. You will also explore how AI can suggest design variations and textures.

The final topic covers 3D model optimisation, standards and production workflows, including reducing polygon counts, preparing models for 3D printing, games, AR and rendering, and choosing the right export formats. Throughout the course you will also discuss intellectual property and responsible use of AI-generated content. Every topic is hands-on. By the end, you will be able to combine generative AI with traditional 3D skills to create, refine and optimise 3D models efficiently.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Generative AI for 3D Design Concepts and Modeling

Topic 2: AI-Assisted 3D Model Analysis, Validation and Refinement

Topic 3: 3D Model Optimization, Standards and Production Workflows

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • Architectural Draftsman
  • Interior Designer
  • Landscape Designer
  • Urban Planner
  • Furniture Designer
  • Exhibition Designer
  • 3D Modeler
  • Game Environment Artist
  • Civil Engineer (for basic modeling)
  • Stage/Set Designer
  • Real Estate Developer (basic visualizations)
  • Construction Estimator
  • Product Designer
  • Event Space Planner
  • Educational Content Creator (for spatial subjects)

Trainers

Trainers

Working at the meeting point of generative AI and visual creation, Dr. Alfred Ang builds tools that turn plain descriptions into images, scenes and interactive graphics. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, delivering solutions end-to-end from front end and back end to databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub capture that range. The most relevant to this course is a browser-based WebXR playground for generating and reviewing AR and VR scenes from vibe prompts, where a short description becomes a three-dimensional environment that can be explored and refined. Dr. Ang also built a logo generator that produces design options from a text brief using Gemini or OpenAI image models, an offline GPU-accelerated fractal art generator for iPhone and iPad with an OpenGL-based Android counterpart, and a Procreate-style sketching studio with layers, symmetry and pressure-sensitive brushes on iOS and Android. A video creation tool that turns any topic into a narrated, animated video completes a portfolio centred on prompt-driven visual work, where the creative brief comes from a person and the repetitive generation is handled by AI. Building these tools has given Dr. Ang a practical understanding of how prompt wording, reference material and iteration shape generated output, and of the review steps needed before AI-created visuals are good enough to share with clients, colleagues or a production team.

In Generative AI for 3D Modeling, Dr. Ang uses that experience to help product designers, engineers, architects, game and animation artists and makers adopt AI-assisted 3D workflows with confidence. The first topic covers generative AI for 3D design concepts and modelling, showing how text descriptions, reference images and sketches can be turned into initial 3D models in minutes, and how to write prompts that control form, proportion and style. The second topic turns to AI-assisted analysis, validation and refinement: inspecting generated meshes for problems, comparing variations, and iterating on details until a concept is fit for review. The final topic deals with optimisation, standards and production workflows, including cleaning up geometry, preparing models for rendering, real-time use or fabrication, and exporting to the formats downstream teams need. Drawing on the iterate-and-review loop built into the WebXR playground and the image tools in the portfolio, Dr. Ang stresses that AI accelerates the early and repetitive stages while human judgement decides what is good enough to ship. Sessions combine live demonstrations with guided practice, and participants are encouraged to bring their own design challenges so they leave with models and a repeatable workflow they can apply at work. Participants also discuss practical considerations such as intellectual property in AI-generated assets, keeping a clear record of prompts and versions, and communicating with engineers or clients about what an AI-assisted concept can and cannot yet show, so that adoption fits smoothly into existing design processes. Learners can explore Dr. Ang's visual AI projects at https://github.com/alfredang.

Review

Customer Reviews (6)

Highly recommended Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 11/01/2026)
Fantastic experience Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 15/05/2025)
Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 21/04/2025)
Hands-on and practical Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 11/02/2025)
Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 05/11/2024)

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