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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
Assessment
- Written Exam
- Practical Exam
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:
- Blender – free
Hardware: Windows PC or Mac laptop
Funding Eligibility Criteria
Self-sponsored learners (individuals)
- Singapore Citizens and Singapore Permanent Residents aged 21 and above.
- Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
- Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.
Company-sponsored learners
- Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
- Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
- Employers can also claim Absentee Payroll funding for employees who attend during working hours.
- Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).
Conditions for all funded learners
- Attendance is taken digitally with Singpass for every session, including the assessment.
- You must complete the course and pass all assessments (assessed as Competent).
- If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
- 9% GST is charged on the full course fee before funding.
- Promo and discount codes cannot be used on funded courses.
- Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA).
How to Apply SkillsFuture Credit Claim for Individuals
Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.
- Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
- We email you an invoice showing the course fee after funding.
- From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
- Click Submit a Claim and search for this course by its course code, TGS-2023037544.
- Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
- Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.
Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.
How to Apply SkillsFuture Enterprise Credit (SFEC)
SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.
Current SFEC: classes ending on or before 30 November 2026
- Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
- SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
- Check your company's SFEC eligibility and balance on EnterpriseSG.
- Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
- Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
- No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.
Any unused balance of the current SFEC expires on 30 November 2026.
Redesigned SFEC from 1 December 2026
Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.
How to Apply PSEA
Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.
- Check that this course shows the PSEA tag on its MySkillsFuture page.
- Check your PSEA balance on MOE's Student Finance System with Singpass.
- Download and complete the PSEA withdrawal form, then submit it to us.
- We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
- MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.
More details: MOE PSEA overview.
Appeal Process
If you disagree with an assessment decision, you have the right to appeal.
- When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
- Discuss the decision with the assessor or the assessment manager first.
- If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
- Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
- An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
- You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.
Job Roles
Job Roles
- Mechanical Designer
- Mechanical Engineer
- CAD Technician
- Product Designer
- Design Engineer
- Manufacturing Engineer
- Industrial Designer
- Prototype Developer
- Mechanical Draftsman
- CNC Programmer
- R&D Engineer
- Tooling Designer
- Assembly Engineer
- Product Development Specialist
- CAD/CAM Specialist
Trainers
Trainers
Dr. Alfred Ang's interest in 3D, spatial computing and generative design runs through many of his recent projects. He is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. He is a Unity Certified User, holds a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS, and earned his PhD in Electrical Engineering from NUS after a B.Sc (Hons) in Physics, where he topped his cohort. He has worked in the defence, electronics and semiconductor industries and co-invented more than 20 US patents, experience that gives him a feel for engineering precision and design constraints. Among his 300+ public GitHub repositories are a browser-based WebXR playground that generates and reviews AR and VR scenes from vibe prompts; an iPhone and iPad sketching studio with layers, symmetry and sketch-to-AR; a GPU-accelerated fractal art generator built with Metal on iOS and OpenGL ES on Android; a logo generator that turns a text description into design options using Gemini or OpenAI image models; and a set of interactive, animated explainers on geometry and physics built with canvas graphics. Together they reflect an ongoing practice of turning text prompts and sketches into visual and spatial assets. He is also an ACTA-certified trainer and DACE-certified curriculum developer, and as Chief Instructional Designer he oversees courseware across AI, cloud computing and modern application development. He enjoys exploring how emerging generative tools can make design work faster and more accessible to professionals without a traditional 3D background.
In this WSQ course, Dr. Ang helps participants use generative AI as a creative partner across the 3D workflow. Learners start with the essentials of 3D modelling, including geometry, topology, materials, lighting, scale and model organisation, then apply effective prompting to translate text descriptions, reference images, sketches and design requirements into concepts and model variations. The second topic focuses on analysing, validating and refining AI-generated models, comparing alternatives and fixing issues such as poor topology or inconsistent scale. The final topic covers optimisation, standards and production workflows, preparing assets that are efficient and ready for use in games, AR and VR, product visualisation or print. Drawing on his Unity background and his own AR and VR experiments, he is realistic about what current AI tools do well and where a designer's judgement remains essential. His sessions are hands-on and iterative: learners generate, critique and improve their own models, building a dependable AI-assisted pipeline from idea to production-ready asset. He also discusses practical considerations such as file formats, polygon budgets, consistent naming and documentation, and the intellectual property questions that arise when AI tools generate design assets. Participants are encouraged to work on a project related to their own field, whether product design, architecture, games, education or marketing, so their learning transfers directly. To explore his WebXR, sketching and generative design projects, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Shahul Hameed Maricar is a certified ACLP trainer and MOE instructor with over a decade of experience in systems integration, product design and technical training, and he guides learners in applying generative AI to real 3D design and visualisation tasks, from AI model generation to mesh cleanup, texturing and optimisation. His career spans 3D art, mechatronics, embedded systems and industrial design, and he has deep technical skills in 3D design software such as Blender and Fusion 360, along with programming in Python, JavaScript and C++. He has also trained learners in AutoCAD, Fusion 360 and Blender, equipping them with technical drawing and 3D modelling skills, and integrates digital and physical product development in his teaching.
In WSQ - Generative AI for 3D Modeling, Shahul focuses on hands-on, project-based learning. Learners use generative AI to translate text descriptions, reference images and sketches into 3D design concepts and models, then move on to AI-assisted 3D model analysis, validation and refinement. The course concludes with 3D model optimisation, standards and production workflows, where his Blender and product design experience helps participants turn AI-generated drafts into clean, usable assets. Learners leave able to create, refine and optimise 3D models with AI-assisted workflows and to apply these skills confidently to design and visualisation projects.
Bernard Chan is a mechanical design engineer and CAD specialist with expertise in product development, 3D modelling and engineering design across manufacturing, consumer electronics and precision engineering, where he has led projects from concept ideation to prototype fabrication. Skilled in Autodesk Fusion 360, SolidWorks and AutoCAD, he has a deep understanding of parametric modelling, simulation workflows and design for manufacturability. He is also an ACLP-certified trainer and Autodesk Revit Certified Professional, and has served as an Adjunct Lecturer at BCA Academy since 2011.
In Generative AI for 3D Modeling, Bernard applies this design engineering background to AI-assisted modelling workflows. Learners use generative AI to turn text descriptions, reference images, sketches and design requirements into 3D concepts and model variations, while applying sound principles of geometry, topology, materials, lighting and scale. He then guides participants through analysing, validating and refining their models, correcting geometry and topology, and producing professional design documentation. The course concludes with model optimisation, standards and production workflows. With his emphasis on precision and workflow efficiency, participants gain the ability to apply generative AI effectively in real design and engineering contexts.
Jyoti Chopra is an ACLP-certified trainer and architectural design professional with expertise in CAD, BIM and 3D visualisation, proficient in AutoCAD, Revit, Fusion 360 and 3ds Max. She has applied these tools in architectural and engineering projects, producing technical drawings, mechanical models and photorealistic renders. With years of adult training experience, she has prepared learners for Autodesk certifications, blending structured lessons with hands-on practice, and has taught WSQ and professional courses in AutoCAD, graphic design and 3D modelling.
In WSQ Generative AI for 3D Modeling, Jyoti focuses on AI-assisted 3D modelling, model refinement and technical documentation. Learners use generative AI to turn text descriptions, reference images, sketches and design requirements into 3D concepts and model variations, then analyse, validate and refine those models before optimising them to standards for production workflows. She guides participants step by step from prompt to production-ready asset, drawing on her practical modelling and rendering experience. Learners build both technical proficiency and the judgement to validate AI-generated geometry against design requirements, ready to apply these workflows in design, engineering or creative roles.
