Course Details
Course Details
What You'll Learn
Topic 1: Claude Code Fundamentals
Vibe Coding with Claude Code
Initialise Claude Code
Operation Modes
Context Engineering and Memory Management
Topic 2: Tools and Commands
Custom Slash Commands
Tools & MCP
Topic 3: RAG, Skills and Agents
RAG and Skills
Sub Agents
Hooks
Assessment
- Written Exam
- Practical Exam
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
- 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.
- Minimum 18 years old
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- A Claude Pro (or higher) subscription – required
- Claude Code – included with the Claude Pro subscription
- Visual Studio Code – free
Hardware: Windows PC or Mac laptop
The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).
For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)
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), or partly reimbursed by UTAP for NTUC members.
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-2025052468.
- 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 UTAP (NTUC Members)
NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.
Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.
- Make sure your NTUC membership is paid up before the course starts.
- Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
- Attend at least 75% of the course and sit all assessments.
- Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
- Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
- NTUC usually pays the claim within 4 weeks of submission.
Read more in our UTAP 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
- AI Developer
- Machine Learning Engineer
- Generative AI Specialist
- Cloud Engineer
- Data Scientist
- AI Solution Architect
- AI Workflow Developer
- RAG Application Specialist
- AI Model Trainer
- LangChain Developer
- Software Engineer (AI Systems)
- AI Project Manager
- Knowledge Base Engineer
- Foundation Model Specialist
- AI Governance Consultant
- AI Systems Tester
- AI Integration Specialist
- Cloud AI Engineer
- Automation Engineer
- Technical Consultant (AI Solutions)
Trainers
Trainers
Claude Code is a core tool in Dr. Alfred Ang's engineering work, and his public work shows how far he has taken it. He holds Anthropic's Claude Certified Associate - Foundations certification. Among the 300+ public repositories on his GitHub is skills, a collection of Claude Code skills that auto-detect and start any app, generate READMEs, push to Docker Hub, draft LinkedIn posts, build NotebookLM slides, scan for secrets and test mobile responsiveness, and tertiary-wsq-skills, a set of Claude Code skills that produce WSQ courseware in a consistent house style. He has also built wsq-casl-cp-generator, a web app powered by Claude Code for preparing course proposals, wsq-courseware-generator-claude-streamlit, which automates assessment plans, facilitator guides, learner guides and lesson plans with the Claude Agent SDK, and ai-cms, a self-hosted CMS whose content generation and auto-blog scheduler run on the same SDK. A full-stack AI developer and Agentic AI solution architect, he also works with n8n, Langflow, Flowise, CrewAI, Microsoft AutoGen and the OpenAI and Google Gemini agent SDKs, and he builds RAG pipelines and multi-agent systems. He is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founder of Tertiary Courses. 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, has published more than 20 peer-reviewed papers and co-invented more than 20 US patents, and is a Microsoft Certified AI Engineer Associate (AI-102) and AWS Certified Solutions Architect.
In this WSQ course, Dr. Ang teaches learners to build context-aware agentic applications with Claude Code the way he does in his own projects. Topic 1 covers Claude Code fundamentals: vibe coding with Claude Code, initialising a project, choosing between operation modes and practising context engineering and memory management through project instructions, documentation and knowledge files that keep the agent consistent across sessions. Topic 2 introduces tools and commands, including custom slash commands for repeated tasks and connecting tools and external services through MCP. Topic 3 brings in RAG, skills and agents, where learners add retrieval so the application draws on relevant knowledge, package reusable skills, delegate focused work to sub-agents and use hooks to automate checks before and after actions. Because he maintains published skill libraries and Claude Agent SDK applications, he can show learners real examples of skills that work, memory files that stay useful as a project grows and hooks that catch mistakes before they ship. He also covers the discipline that keeps agentic coding safe: reviewing diffs, testing outputs, protecting secrets and keeping a human in charge of what is committed and deployed. As an ACTA-certified trainer and DACE-certified curriculum developer, he runs the course as a progressive build, so participants finish with a working Claude Code application, a set of their own skills and commands and a workflow they can carry into future projects. To see his Claude Code skills and agent applications, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Quah Chee Yong is a data science and AI specialist with experience in analytics, cloud computing and applied machine learning. A certified adult educator with the WSQ ACLP qualification, he has designed and delivered AI and data analytics programmes for SAP, Temasek Polytechnic and IMDA under the SGUnited Mid-Career Pathways initiative. His expertise spans Python, TensorFlow and AWS SageMaker, together with data visualisation, natural language processing and model deployment, and he is passionate about helping professionals harness AI to drive innovation and productivity.
In WSQ Agentic AI Applications with Claude Code, he brings his NLP and model deployment experience to building context-aware AI applications. Learners start with Claude Code fundamentals, including vibe coding, initialisation, operation modes, and context engineering and memory management. They then work with custom slash commands, tools and the Model Context Protocol (MCP), before combining retrieval-augmented generation, reusable skills, sub-agents and hooks into autonomous agent applications. His sessions blend theory with hands-on projects, so participants learn both how agents retrieve and use knowledge and how to apply these applications to real business automation needs.
Truman Ng is an IT and AI specialist with more than 20 years of experience in cloud computing, machine learning and intelligent automation. He has led projects involving AI-enabled automation, DevOps integration and multi-cloud deployment across manufacturing, logistics and enterprise technology, and has trained learners to build intelligent AI agents with cloud services such as AWS Bedrock, Lambda, SageMaker and API Gateway. He holds PMP, Huawei HCIE, Cisco CCNP and AWS Certified Solutions Architect certifications, and as an ACTA-certified adult educator he has conducted professional training in AI, data analytics and robotics.
In WSQ Agentic AI Applications with Claude Code, Truman helps learners build intelligent, context-aware applications with Claude Code. Learners start with the fundamentals, including vibe coding, initialising projects, operation modes, and context engineering and memory management. They then work with tools, custom slash commands and MCP, before moving on to Retrieval-Augmented Generation, reusable skills, sub-agents and hooks. Drawing on his experience integrating AI into automated, cloud-native systems, he shows how good context and RAG-based memory lead to more accurate and consistent outputs. His structured, applied approach leaves participants able to design agentic applications that improve efficiency in their own work.
Amin Mahetar is a Cloud Security Architect and AI practitioner with experience in cloud transformation, cybersecurity and emerging technologies. He has led major digital transformation and AI-driven automation projects across the government and enterprise sectors, including roles at Cisco, GovTech Singapore and Deutsche Bank. He holds multiple professional certifications, including AWS Certified Solutions Architect, CISSP, CCSP and Google Cloud Professional Architect, and is also a Microsoft Certified Trainer. His work integrates cloud security, governance and AI solution design, enabling organisations to build secure, scalable and intelligent applications.
In this WSQ course, Amin brings his architecture and AI solution design experience to building context-aware applications with Claude Code. Learners begin with Claude Code fundamentals, including vibe coding, initialisation, operation modes, and context engineering and memory management. They then work with custom slash commands, tools and MCP, before progressing to retrieval-augmented generation (RAG), reusable skills, sub-agents and hooks. Amin's security and governance background helps participants consider how AI agents should be configured and controlled when they act on real code and data. Learners finish able to design and build reliable agentic AI applications that pair innovation with responsible deployment practices.
Mohan Pothula is an Enterprise Architect and Data Engineering Leader who designs large-scale, cloud-native solutions for financial, media and telecommunications organisations. He has served in senior technology roles at DBS Bank, SPH Media and Mediacorp, where he architected and implemented AI and data-driven platforms on AWS and Azure. His expertise includes AI and machine learning pipeline design, Kubernetes orchestration and data architecture optimisation, supported by certifications in AWS Solutions Architecture, Kubernetes Administration and Cloud DevOps. He is known for translating complex technical systems into scalable, efficient and business-aligned architectures.
In WSQ - Agentic AI Applications with Claude Code, Mohan applies this architecture and AI pipeline experience to building intelligent, context-aware applications. Learners start with Claude Code fundamentals, including vibe coding, initialisation, operation modes, and context engineering and memory management. They then work with tools and commands, including custom slash commands, tools and MCP, before moving on to RAG, skills, sub-agents and hooks. His focus on real-world use cases, such as data pipelines and API-driven agent workflows, helps participants see how these pieces fit into production systems. Learners leave able to build, extend and manage agentic applications with Claude Code.
Review
Customer Reviews (398)
- Average Rating: 4.0/5 Review by Course Participant/Trainee
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Good (Posted on 11/6/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 11/6/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 11/6/2026)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 - Average Rating: 4.0/5 Review by Course Participant/Trainee
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N/A (Posted on 11/6/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 11/6/2026)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
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