Course Information

  • Sessions 4 days
  • Duration 32 hrs
  • Level Beginner to Intermediate
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Computer-aided Design
TSC Code
PRE-DES-4036-1.1

Funding Validity

Funding for this course is valid from 27 Oct 2023 to 26 Oct 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Conceptualize machine part designs to meet functional specifications
  • LO2: Generate sketches and CAD models for machine parts using curves and primitive features.
  • LO3: Create assemblies and drawings focusing on top-down and bottom-up methodologies.
  • LO4: Produce exploded views and animations for assemblies
  • LO5: Apply GD&T principles to produce detailed and standardized drafts and models.
  • LO6: Create orthographic models and review them for potential improvements in line with machine specifications.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Generative AI for 3D Design

Course Code: TGS-2023039342
  • WSQ
  • SFC
  • PSEA
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

Generative AI for 3D Design equips participants with the skills to conceptualize, create, and refine 3D designs using AI-assisted workflows. Learners will explore how generative AI can transform natural-language descriptions, sketches, reference images, and functional requirements into design concepts, model variations, and detailed 3D assets.

The course covers essential 3D design principles, including solid and surface modeling, component creation, assemblies, materials, dimensions, and design constraints. Participants will use generative AI to accelerate ideation, compare design alternatives, automate repetitive tasks, identify potential design issues, and recommend improvements based on project requirements.

Through hands-on activities, learners will develop 3D components and assemblies, produce exploded views, apply materials, generate realistic renderings, and prepare technical drawings for communication and production. They will also learn to evaluate AI-generated designs for accuracy, functionality, manufacturability, and compliance with relevant standards. By the end of the course, participants will be able to combine generative AI with established 3D design practices to improve productivity, support design decision-making, and produce high-quality outcomes for manufacturing, product development, visualization, and prototyping.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more generative AI training.

WSQ Funding

Full Fee $1,400.00 Before GST
GST $126.00 9% of fee
Baseline Nett $826.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $546.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal FormSubmit PSEA Form

Course FeeBefore Funding

$1,400.00 (GST-exclusive)
$1,526.00 (GST-inclusive)

Course Date

* Required Fields

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.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: AI-Assisted Machine Part Design and Conceptualization

Topic 2: Generative AI for Sketching and 3D CAD Modeling

Topic 3: AI-Assisted Assembly Design and Modeling

Topic 4: Creating Exploded Views and Assembly Animations with AI

Topic 5: AI-Assisted GD&T and Standardized Technical Drawings

Topic 6: Orthographic Modeling, AI-Based Review and Design Optimization

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:

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.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. 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.
  4. Click Submit a Claim and search for this course by its course code, TGS-2023039342.
  5. 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).
  6. 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.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. 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.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. 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.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. 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.
  5. 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.

  1. 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.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. 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.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. 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.
  6. You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Job Roles

  • Product Designer
  • Mechanical Engineer
  • Industrial Designer
  • CAD Designer
  • Generative Design Specialist
  • Prototyping Engineer
  • 3D Modeler
  • Product Development Specialist
  • Manufacturing Engineer (focus on design)
  • Aerospace Designer
  • Automotive Design Engineer
  • Jewelry Designer (using CAD tools)
  • Furniture Designer (with digital prototyping)
  • 3D Printing Specialist
  • Design Engineer adopting AI-assisted workflows

Trainers

Trainers

Mechanical design is close to Dr. Alfred Ang's engineering roots. Before he became a full-stack AI developer and Agentic AI solution architect, he worked in the defence, electronics and semiconductor industries, where he published more than 20 peer-reviewed papers and co-invented over 20 US patents, work in which precision and clear specification matter. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS, and he later completed a Graduate Diploma in Intelligent Robotics Systems at NUS-ISS, a field in which machine parts, assemblies and motion come together. He also founded Tertiary Robotics in 2015, offering Arduino, Raspberry Pi, Micro:bit and robotics products, and he is a Unity Certified User. Today he serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, the company behind Tertiary Courses, which he founded. His GitHub portfolio of more than 300 public repositories shows a sustained interest in visual and spatial tools: whiteboard offers vector shapes, flowchart elements and snapping connectors in the browser; sketchbookapp provides layers, symmetry and a sketch-to-AR feature on iPhone and iPad; and iotplatform connects Arduino, ESP32 and Raspberry Pi devices to automated workflows. He is also a Microsoft Certified AI Engineer Associate (AI-102) and an AWS Certified AI Practitioner. His arvr-playground project, a browser-based WebXR space for generating and reviewing AR and VR scenes from prompts, applies the same prompt-to-model thinking to immersive design.

In WSQ Generative AI for 3D Design, Dr. Ang treats AI as a fast design assistant that still has to answer to engineering standards. The course begins with AI-assisted machine part design and conceptualisation, turning functional requirements, sketches and reference images into design concepts and comparing alternatives. Topic two covers generative AI for sketching and 3D CAD modelling, including solid and surface modelling, constraints and dimensions, and topic three extends this to assembly design, where components must fit and move together correctly. Topic four creates exploded views and assembly animations with AI, which his robotics background makes especially relatable. Topic five addresses AI-assisted GD&T and standardised technical drawings, and the final topic covers orthographic modelling, AI-based design review and optimisation. Throughout, he asks learners to check what the AI suggests against tolerances, materials and manufacturability, because his industry experience showed him how small drawing errors become expensive production problems. He uses AI to speed up ideation, automate repetitive steps and flag potential design issues, while keeping the designer responsible for the final decision. As an ACTA-certified trainer and DACE-certified curriculum developer, he balances short demonstrations with extended practice, so each learner completes parts, an assembly and a set of drawings of their own. Participants leave with a structured, AI-assisted design workflow they can apply to real engineering projects. To see his visual, robotics and IoT projects, explore 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. In his Generative AI for 3D Design training, he guides learners through AI-assisted concept generation, parametric modelling, assemblies and design validation, building on a career that spans 3D art, mechatronics, embedded systems and industrial design. He has delivered WSQ and corporate training in CAD and 3D modelling tools including Fusion 360, AutoCAD and Blender, alongside courses in product prototyping and design visualisation, and he programmes in Python, JavaScript and C++.

In WSQ - Generative AI for 3D Design, Shahul emphasises hands-on, project-based learning that combines design fundamentals with practical exercises. Learners begin with AI-assisted machine part design and conceptualisation, then use generative AI for sketching and 3D CAD modelling. They progress to AI-assisted assembly design, exploded views and assembly animations, and then produce standardised technical drawings with GD&T. The course concludes with orthographic modelling, AI-based review and design optimisation. His ability to make complex CAD workflows accessible helps learners from both engineering and design backgrounds keep pace. Participants leave equipped to create manufacturing-ready designs and to apply generative AI confidently in real-world design work.

Jyoti Chopra is an ACLP-certified trainer and design professional with expertise in CAD, BIM and 3D visualisation software, proficient in AutoCAD, Revit, Fusion 360 and 3ds Max. She has applied these tools in architectural, engineering and manufacturing projects to produce detailed technical drawings, photorealistic renders and functional prototypes. With professional practice and adult training experience, she has prepared learners for Autodesk certifications, and she has taught WSQ and professional courses in AutoCAD and 3D modelling with an emphasis on practical, portfolio-ready outputs.

In WSQ Generative AI for 3D Design, Jyoti focuses on AI-assisted modelling, design exploration and design-for-manufacturing workflows. Learners use AI for machine part design and conceptualisation, generate sketches and 3D CAD models, and build assemblies from design intent. They then create exploded views and assembly animations, produce GD&T and standardised technical drawings with AI assistance, and apply orthographic modelling, AI-based review and design optimisation. Integrating case studies with hands-on practice, her structured, applied approach gives participants the technical proficiency and confidence to apply generative AI effectively in design and manufacturing contexts.

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