Course Information

  • Sessions 2 days
  • Duration 16 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.

Skills Framework

TSC Title
Generative AI Model Development and Fine Tuning
TSC Code
ICT-BAS-0048-1.1

Funding Validity

Funding for this course is valid from 6 Jan 2026 to 5 Jan 2028. 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: Implement generative AI models using deep learning architectures matched to problem requirements and evaluate model suitability.
  • LO2: Apply deep learning concepts and optimisation techniques to preprocess generative-model datasets using embeddings and tokenisation, ensuring clean and structured inputs for effective neural network training.
  • LO3: Identify model training requirements and optimise performance by applying data-preprocessing, de-duplication, embeddings, and tokenisation techniques, as well as assessing training efficiency across parallel and cluster-based environments using benchmarks and metrics.
  • LO4: Train and refine generative models by evaluating weaknesses and applying targeted fine-tuning strategies.

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 - Claude Certified Architect Foundation

Course Code: TGS-2026061312
  • WSQ
  • SFC
  • PSEA
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

WSQ Claude Certified Architect Foundation equips learners with the knowledge and practical skills to design, build, and deploy AI applications using Anthropic's Claude ecosystem. Participants will develop a strong foundation in large language models (LLMs), prompt engineering, context engineering, and AI solution architecture for building reliable, scalable, and secure enterprise applications.

Through hands-on labs, learners will explore Claude's core capabilities, including long-context reasoning, structured outputs, artifacts, tool use, Model Context Protocol (MCP), and AI agent workflows. The course covers best practices for integrating external APIs, enterprise systems, and Retrieval-Augmented Generation (RAG) to create intelligent, context-aware applications.

Participants will learn how to design effective prompts, manage context and memory, evaluate AI performance, implement guardrails, reduce hallucinations, and optimize applications for accuracy, reliability, and cost. The course also introduces architecture patterns such as human-in-the-loop workflows, multi-agent collaboration, MCP integrations, security, governance, and responsible AI practices.

By the end of the course, learners will be able to architect Claude-powered AI solutions, integrate Claude with business systems and external tools, and apply industry best practices to build production-ready AI applications. This course is ideal for solution architects, software developers, AI engineers, technical consultants, and IT professionals seeking a solid foundation in enterprise AI architecture with Claude.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee $1,100.00 Before GST
GST $99.00 9% of fee
Baseline Nett $649.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $429.00 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

$1,100.00 (GST-exclusive)
$1,199.00 (GST-inclusive)

Course Date

Course Time

* 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: Foundations of Claude AI Architecture

Topic 2: Building Claude-Powered AI Applications

Topic 3: AI Agents and Enterprise Integration

Topic 4: Deploying Production-Ready AI Solutions

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: 18-65 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-2026061312.
  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

  • AI Developer
  • Machine Learning Engineer
  • Data Scientist
  • Deep Learning Specialist
  • AI Research Assistant
  • Software Engineer (AI)
  • AI Solutions Architect
  • NLP Engineer
  • AI Systems Integrator
  • Data Engineer
  • Computer Vision Engineer
  • Model Validation Analyst
  • AI Innovation Specialist
  • AI Product Developer
  • Python Developer (AI Focus)
  • Data Analyst (AI Track)
  • AI Technical Consultant
  • Applied Scientist (Generative AI)
  • AI Deployment Specialist
  • Research Engineer

Trainers

Trainers

Dr. Alfred Ang builds much of his own software with Anthropic's Claude, from AI content management systems to automated courseware generation, so the architecture choices taught in this course reflect decisions he makes in real projects. He is a full-stack AI developer and Agentic AI solution architect, and as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd he leads teams in software delivery and workforce upskilling. He holds a PhD in Electrical Engineering from NUS, a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS and a Certificate in AI Ethics and Governance (Senior Professional) from NTU, and he is a Microsoft Certified AI Engineer Associate (AI-102) and AWS Certified Solutions Architect. Among his 300+ public GitHub repositories, ai-cms is a self-hosted CMS for Singapore training providers built on Next.js, Postgres and the Claude Agent SDK, with AI content generation, a weekly auto-blog scheduler and a self-improving lead-generation chatbot. AI Kids Academy, a gamified AI learning portal for children aged 4 to 16, is built with Next.js, Postgres and Claude. SG Tutors includes a ten-minute Claude AI interview as part of tutor verification, and tertiary-wsq-skills is a collection of Claude Code skills for producing WSQ slides, learner guides and lesson plans in a consistent house style. He also holds AWS Certified AI Practitioner and Neo4j Certified Professional credentials, and he has co-invented more than 20 US patents.

WSQ Claude Certified Architect Foundation gives learners a solid grounding in designing, building and deploying AI applications on the Claude ecosystem. Dr. Ang opens with the foundations of Claude AI architecture: how large language models behave, why prompt engineering and context engineering matter, and how to plan reliable, scalable and secure enterprise solutions. The second topic moves into building Claude-powered applications, exploring long-context reasoning, structured outputs, artifacts and tool use, with examples drawn from systems he has built where Claude generates content that must meet strict formats. In the third topic on AI agents and enterprise integration, learners examine the Model Context Protocol and agent workflows, and he compares agent patterns across the Claude Agent SDK and other frameworks he uses, such as the OpenAI Agents SDK, CrewAI and n8n, to show which design ideas generalise. The final topic covers deploying production-ready AI solutions, including evaluation, monitoring, security and cost control, informed by his experience with AWS, Kubernetes and DevOps and his CompTIA Security+ certification. As an ACTA-certified trainer and DACE-certified curriculum developer, he keeps the course practical: hands-on labs, architecture discussions and assessment-aligned exercises in which learners design and build a working Claude solution of their own. Learners finish with a clear architectural method they can apply at work. He also covers how to document architecture decisions so that teams can maintain them over time. To see the Claude-based applications he has built, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

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