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WSQ - Generative AI Design for Civil 3D

Sessions 4 days
Duration 32 hrs
Level Beginner
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.

TSC Title: Technical Drawing-
TSC Code: BEV-TDR-4005-1.1-1

Funding for this course is valid from 20 Oct 2023 to 19 Oct 2027. Register and complete the course within this period to qualify for funding support.

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

LO1: Interpret Civil 3D models and drawings for civil structures and evaluate their structural adequacy under varying loads.
LO2: Apply Civil 3D in site surveying and measurement techniques, and analyze soil properties for foundation construction support.
LO3: Validate Civil 3D layout of concrete and steel structures in line with standards, recommending construction methodologies and technologies.
LO4: Identify opportunities for Design for Maintainability in Civil 3D and incorporate sustainable practices in civil structures.

Download Course Brochure

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 Design for Civil 3D

Course Code: TGS-2023039180

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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Generative AI Design for Civil 3D equips participants with practical skills to apply generative AI across civil engineering design, modelling, analysis, and documentation workflows. Participants will learn to use natural-language prompts, project specifications, survey information, and design requirements to generate concepts, automate repetitive tasks, and support informed design decisions.

The course covers key civil design processes, including terrain and surface modelling, site layouts, alignments, profiles, corridors, grading, drainage, and infrastructure planning. Learners will explore how generative AI can assist in interpreting project requirements, generating design alternatives, identifying potential conflicts, validating models, and recommending improvements based on engineering constraints.

Through hands-on projects, participants will develop and refine civil 3D models, produce plans and technical documentation, calculate quantities, and prepare design outputs for review and collaboration. Emphasis is placed on verifying AI-generated results for accuracy, safety, compliance, and alignment with project specifications. By the end of the course, learners will be able to combine generative AI with established civil design practices to improve productivity, enhance design quality, and deliver efficient, well-documented infrastructure solutions.

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

Full Fee $1,600.00 Before GST

GST $144.00 9% of fee

Baseline Nett $944.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $624.00 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 Form Submit PSEA Form

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

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.

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

Topic 1: AI-Assisted Civil 3D Model Interpretation and Structural Analysis

Topic 2: Generative AI for Site Surveying, Soil Analysis and Foundation Design

Topic 3: AI-Assisted Concrete and Steel Structure Design Validation

Topic 4: AI for Design Maintainability and Sustainable Civil Engineering

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:

Autodesk Civil 3D – a training account will be provided

Hardware: Windows PC or laptop (Civil 3D runs on Windows only)

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-2023039180.
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

Civil Engineer
Infrastructure Designer
CAD Technician
Surveyor
Landscape Architect
Urban Planner
Project Manager
Geotechnical Engineer
Transportation Engineer
Water Resources Engineer
Environmental Engineer
Structural Engineer
Construction Manager
GIS Specialist
Draftsperson

Trainers

Dr. Alfred Ang brings an engineer's rigour and deep AI expertise to the use of generative AI in civil engineering design. His academic training is in the physical and engineering sciences: a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU, a B.Sc (Hons) in Physics from NUS, where he topped his cohort, and a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS. He has worked in the defence, electronics and semiconductor industries, published more than 20 peer-reviewed papers and co-invented more than 20 US patents, so analytical modelling, design validation and technical documentation are long-standing habits. Today he is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and the founder of Tertiary Courses, serving as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. His AI credentials include Microsoft Certified AI Engineer Associate (AI-102), AWS Certified Solutions Architect and AI Practitioner, and a Certificate in AI Ethics and Governance (Senior Professional) from NTU; he is also a Unity Certified User and completed SMU's Advanced Certificate in Integrating Sustainability for a Future Ready Business in 2023. On GitHub, arvr-playground is a browser-based WebXR environment for generating and reviewing AR and VR scenes from prompts, reflecting his interest in AI-generated spatial content. He is not a civil engineer by profession, and he is open about that; his role is to show civil professionals how to put generative AI to work safely within the engineering judgement they already exercise.

WSQ - Generative AI Design for Civil 3D equips civil engineers, designers, drafters and technical officers to apply generative AI across modelling, analysis and documentation. The first topic covers AI-assisted Civil 3D model interpretation and structural analysis, using natural-language prompts to interrogate models, summarise design intent and highlight issues. The second applies generative AI to site surveying, soil analysis and foundation design, turning survey information and specifications into options and checks. In the third topic learners use AI to assist with the validation of concrete and steel structure designs, and the final topic addresses design maintainability and sustainable civil engineering, where his sustainability training informs discussion of materials, lifecycle and environmental impact. Throughout, Dr. Ang focuses on what AI does well, such as interpreting requirements, generating alternatives, automating repetitive documentation and spotting inconsistencies, and on where it must never be trusted unsupervised. Every AI-generated calculation or recommendation is treated as a draft to be verified against project specifications, codes and professional review, because accountability for a design stays with the engineer. His teaching is structured and practical, using realistic project scenarios so learners can see the time savings for themselves and leave with prompt patterns and review checklists they can apply on their next project. He also discusses data security when sharing project drawings with AI tools. To explore his AI and engineering-related projects, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Jyoti Chopra is an ACLP-certified trainer and architectural design professional with expertise in CAD, BIM and 3D visualisation, skilled in AutoCAD, Civil 3D, Revit and 3ds Max. She has worked on architectural, engineering and infrastructure-related projects, producing detailed construction documentation, site layouts and design visualisations. With experience in both professional practice and adult training, she is adept at preparing learners for Autodesk certifications by combining structured lessons with applied case studies, and she has taught WSQ and professional courses in AutoCAD and 3D modelling.

In WSQ Generative AI Design for Civil 3D, Jyoti guides learners through AI-assisted infrastructure design workflows. Participants use generative AI to interpret Civil 3D models and support structural analysis, apply it to site surveying, soil analysis and foundation design, and validate concrete and steel structure designs. The course closes with AI for design maintainability and sustainable civil engineering. Drawing on Civil 3D work such as terrain modelling, alignments, corridors, grading and pipe networks, she integrates generative AI practice with real-world project scenarios, so participants gain both technical skill and the judgement to validate AI-generated design outputs in Civil 3D.

Bernard Chan is an ACLP-certified trainer, Autodesk Revit Certified Professional and experienced BIM and CAD educator. He has served as an Adjunct Lecturer at BCA Academy since 2011 and has delivered Autodesk training at Tertiary Infotech, DiHub and SCAL Academy, consistently preparing learners for Autodesk certifications. His expertise spans AutoCAD, Civil 3D, Revit (Architecture, Structure and MEP) and Navisworks, complemented by a background as a mechanical design engineer and CAD specialist skilled in parametric modelling, simulation workflows and design for manufacturability.

In Generative AI Design for Civil 3D, Bernard teaches learners to create and manage civil engineering projects in Civil 3D with generative AI support, covering surfaces, alignments, profiles, cross-sections and quantity takeoffs. Participants use AI to interpret Civil 3D models and support structural analysis, work with site survey, soil and foundation information, and validate concrete and steel structure designs. The course also addresses design maintainability and sustainable civil engineering. With his emphasis on precision and practical application, Bernard helps participants turn natural-language prompts, project specifications and design requirements into concepts and automated tasks, so they can apply AI-assisted Civil 3D workflows confidently in infrastructure and land development projects.