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WSQ - Agentic AI Applications with Claude Code

Sessions 1 day
Duration 8 hrs
Level Beginner
Assessment 1 hr

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: Artificial Intelligence Application
TSC Code: EGS-TEM-3026-1.1

Funding for this course is valid from 30 Jan 2025 to 29 Jan 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: Implement AI applications and Foundation Models
LO2: Deploy AI workflows and machine learning techniques.
LO3: Identify and report issues in Retrieval-Augmented Generation (RAG) and AI Agents applications.

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 - Agentic AI Applications with Claude Code

Course Code: TGS-2025052468

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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Agentic AI Applications with Claude Code equips learners with practical skills to build intelligent, context-aware applications using Claude Code, Retrieval-Augmented Generation (RAG), reusable skills, and autonomous AI agents. The course emphasizes context engineering and RAG-based memory, enabling AI applications to retrieve relevant knowledge, maintain project context, and deliver more accurate and consistent outputs across complex workflows.

Learners will explore Claude Code fundamentals, including project initialization, operating modes, vibe coding workflows, and memory management. They will learn to structure persistent memory using project instructions, documentation, knowledge files, and external data sources so that Claude Code can understand application requirements, development standards, and domain-specific knowledge.

The course covers tools, custom slash commands, and Model Context Protocol (MCP) integrations for connecting Claude Code with external systems, APIs, databases, and development tools. Participants will also learn to create reusable skills that combine instructions, knowledge, tools, and workflows for specialized tasks.

Through hands-on activities, learners will implement RAG pipelines, develop skills and sub-agents, and use hooks to automate and control agentic workflows. They will learn how agents can retrieve knowledge, invoke tools, coordinate tasks, and execute multi-step processes with greater autonomy and reliability.

The course also addresses testing, debugging, optimization, and issue reporting for RAG and AI agent applications. By the end of the course, learners will be able to implement foundation-model applications, deploy agentic AI workflows, and identify issues affecting retrieval quality, memory accuracy, tool execution, and agent performance.

Full Fee $500.00 Before GST

GST $45.00 9% of fee

Baseline Nett $295.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $195.00 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: 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

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).

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 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

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

Amin Mahetar is a cloud and DevOps engineer with over 15 years of experience in IT infrastructure, automation, and cloud solutions across AWS and Microsoft Azure environments. A Microsoft Certified Trainer (MCT) and Azure Administrator Associate, he has implemented and managed enterprise-scale cloud deployments across industries including finance, logistics, and manufacturing. His areas of expertise include virtualization, networking, identity management, and automation using PowerShell and Azure CLI. Known for his structured and hands-on training style, Amin has guided numerous professionals in achieving their Azure certifications and advancing their cloud careers.

Mohan Pothula is an Enterprise Architect and Data Engineering Leader with over two decades of experience designing large-scale, cloud-native solutions for financial, media, and telecommunications organizations. 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/ML pipeline design, Kubernetes orchestration, and data architecture optimization, supported by certifications in AWS Solutions Architecture, Kubernetes Administration, and Cloud DevOps. Mohan is known for translating complex technical systems into scalable, efficient, and business-aligned architectures.
In this course, Mohan helps learners understand how to integrate generative AI capabilities into cloud-based applications using AWS Bedrock and associated services. His sessions emphasize real-world use cases, including data engineering pipelines, API-driven agent workflows, and multi-model orchestration. Participants gain hands-on experience in building, fine-tuning, and deploying intelligent agentic systems that leverage the full potential of AWS’s generative AI ecosystem.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

Truman Ng is a senior IT and AI specialist with more than 20 years of experience in cloud computing, machine learning, and intelligent automation. He holds certifications including PMP®, Huawei HCIE®, Cisco CCNP®, and AWS Certified Solutions Architect. Truman has led projects involving AI-enabled automation, DevOps integration, and multi-cloud deployment across sectors such as manufacturing, logistics, and enterprise technology. As an ACTA-certified adult educator, he has conducted professional training in AI, data analytics, and robotics, known for blending technical rigor with hands-on, real-world application.
In this course, Truman helps learners build intelligent AI agents powered by AWS Bedrock and related services such as Lambda, SageMaker, and API Gateway. His sessions focus on model deployment, workflow automation, and integration of generative AI into cloud-native systems. Through his structured and applied teaching approach, participants learn to design and implement agentic AI solutions that enhance efficiency, scalability, and innovation in enterprise environments.

Profile coming soon.