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WSQ - Fine-Tuning LLM Models and RAG

Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level 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
Text Analytics and Processing-5
TSC Code
ICT-DIT-5029-1.1

Funding Validity

Funding for this course is valid from 17 Feb 2023 to 16 Feb 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

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

  • LO1: Identify common NLP applications and use cases based on attention mechanisms and transformer architecture.
  • LO2: Perform word embedding and build language models.
  • LO3: Train NLP models with various machine learning approaches.
  • LO4: Determine NLP strategies based on the Hugging Face framework.

Course Brochure

Download 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 - AI Agents for Business

Course Code: TGS-2023018987
  • WSQ
  • SFC
  • PSEA
  • SFEC
  • Absentee Payroll
  • MCES

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What's This Course About

This WSQ AI Agents for Business course equips learners with the knowledge and practical skills to design, build, and deploy AI agents that automate business processes, improve productivity, and support intelligent decision-making. Participants will learn how AI agents combine large language models (LLMs), reasoning, planning, memory, and tool integration to perform business tasks autonomously while collaborating effectively with human users.

The course introduces the fundamentals of agentic AI, prompt engineering, context engineering, and AI-powered workflow automation. Learners will gain hands-on experience in building AI agents that can retrieve information, interact with enterprise applications through APIs, execute business workflows, and automate repetitive tasks across different business functions.

Participants will also explore Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), memory management, multi-agent collaboration, and human-in-the-loop workflows to develop reliable, context-aware, and scalable AI solutions. Practical exercises demonstrate how AI agents can be applied to customer service, sales, marketing, finance, human resources, operations, and knowledge management.

The course further covers responsible AI practices, governance, security, guardrails, and deployment considerations to ensure AI agents operate safely and effectively in enterprise environments. By the end of the course, learners will be able to design, develop, and deploy business AI agents that integrate with existing systems, automate end-to-end processes, and create an AI-powered digital workforce capable of increasing organisational efficiency, innovation, and business value.

WSQ Funding

Full Fee $900.00 Before GST
GST $81.00 9% of fee
Baseline Nett $531.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $351.00 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

$900.00 (GST-exclusive)
$981.00 (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: Foundations of AI Agents for Business

Topic 2: Building and Integrating Business AI Agents

Topic 3: Intelligent Business Automation with AI Agents

Topic 4: Deploying, Governing, and Optimising AI Agents

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.

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-2023018987.
  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

  • NLP Engineer
  • Data Scientist (specializing in text data)
  • Machine Learning Engineer (NLP focus)
  • Computational Linguist
  • AI Research Scientist (language models)
  • Chatbot Developer
  • Text Mining Specialist
  • AI Solutions Architect (with NLP projects)
  • Conversational AI Designer
  • Search Algorithm Developer
  • Recommendation System Engineer (content-based)
  • Content Analysis Engineer
  • Information Retrieval Specialist
  • Machine Translation Developer
  • Speech Recognition Engineer.

Trainers

Trainers

Dr. Alfred Ang designs and deploys AI agents for real business processes, and leads agentic AI adoption that helps organisations move from experimentation to operational AI. He is a full-stack AI developer and Agentic AI solution architect, the founder of Tertiary Courses, and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, where he leads multidisciplinary teams in both software delivery and workforce upskilling. His agent work spans n8n, Langflow, Flowise, the OpenAI Agents SDK, the Google Gemini Agent SDK, the Claude Agent SDK, Microsoft AutoGen and CrewAI, and focuses on automating customer service, internal workflows, analytics and decision support using LLMs, RAG pipelines and multi-agent systems. His public GitHub portfolio offers concrete business examples. n8n-hrportal is a self-service HR portal with leave applications, human-in-the-loop manager approval, a live leave dashboard and an HR chatbot protected by input and output guardrails. n8n-inventorycontrol is an inventory audit and forecasting agent that reads stock levels, flags items below reorder thresholds, computes replenishment and reports through Google Sheets and Gmail. kacificerpr is an ERP prototype with human-in-the-loop approvals, matched invoices, agents and scheduled tasks, and AI-LMS-TMS is a training management system with SSG integration and AI agent automation. He is a Microsoft Certified AI Engineer Associate (AI-102) and Data Scientist (DP-100), an AWS Certified AI Practitioner and Solutions Architect, and holds a Certificate in AI Ethics and Governance (Senior Professional) from NTU and a PhD in Electrical Engineering from NUS.

In this WSQ AI Agents for Business course, Dr. Ang gives learners a practical understanding of how agents combine large language models with reasoning, planning, memory and tools, and how to put them to work safely. The first topic covers the foundations of AI agents for business, including how agents differ from chatbots, prompt engineering, context engineering and how to identify processes worth automating. In the second topic learners build and integrate business AI agents that retrieve information, work with documents and connect to enterprise applications, with examples drawn from HR, inventory and procurement systems he has built himself. The third topic, intelligent business automation with AI agents, chains agents into multi-step workflows with triggers, decisions and human approval points, so that routine work flows through automatically while exceptions reach the right person. The final topic, deploying, governing and optimising AI agents, reflects his architect's view of production systems: access control, guardrails, logging, cost and performance monitoring, and the governance questions his AI ethics certification trains him to ask, such as accountability for an agent's decisions. His teaching is hands-on, and learners leave having built working agents for business scenarios they recognise, along with a clear picture of how to evaluate whether an agent is ready for real use. He keeps the technical level accessible for business professionals while giving more technical learners room to go further. As an ACTA-certified trainer and DACE-certified curriculum developer, he aligns the activities with the WSQ assessment. To see the business agents he has built, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Yeo Hwee Theng is a data science leader and AI strategist with extensive experience leading enterprise AI adoption across healthcare, finance and government. As Data & Analytics Product Lead at Amplify Health, she leads large-scale data transformation and machine learning projects, and she has designed and implemented large-scale machine learning and analytics systems. Her previous roles include AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot. She holds a Master of Technology in Enterprise Business Analytics from the National University of Singapore, where she specialised in data architecture and applied AI, and an Advanced Certificate in Learning and Performance (ACLP).

In AI Agents for Business, she connects agentic AI to the practical work of running an organisation. Learners start with the foundations of AI agents, learning how large language models, reasoning, planning, memory and tool integration combine to perform business tasks. They then build and integrate business agents, apply them to intelligent automation of everyday processes, and finish with deploying, governing and optimising agents in production. Her experience integrating AI into enterprise settings keeps the focus on reliability, governance and measurable value, so participants leave able to design agents that automate routine work, improve productivity and support better decisions while collaborating effectively with the people who use them.

Tan Woei Ming is a data scientist and AI engineer with over 15 years of experience in machine learning, deep learning and AI-driven automation. He has led industrial AI projects in the semiconductor and manufacturing sectors, deploying predictive analytics and computer vision systems for process optimisation, and is deeply experienced in developing and fine-tuning neural networks using TensorFlow, PyTorch and Hugging Face libraries. He holds a Master's in Intelligent Systems from the National University of Singapore and a First-Class Honours in Electrical and Electronic Engineering from NTU, and focuses on translating complex AI technologies into practical business applications.

In WSQ - AI Agents for Business, Woei Ming helps learners turn AI agents into dependable business tools. Participants build a foundation in how agents work, then build and integrate business AI agents, apply them to intelligent business automation, and finally deploy, govern and optimise them. His hands-on experience with models in production shapes his emphasis on contextual accuracy, testing and governance rather than demonstrations alone. By combining strong technical foundations with practical exercises, he equips participants to identify suitable use cases, build agents that fit their workflows and manage them responsibly as they scale across the organisation.

Teh Siew Yee is a data analytics and digital transformation leader with more than two decades of experience across the banking, aviation and technology sectors. With a Master of IT in Business (Artificial Intelligence) from Singapore Management University and leadership roles at Standard Chartered, TikTok and HP, Siew Yee has developed expertise in AI governance, data management and analytics strategy. As an ACLP-certified trainer, Siew Yee is known for clear, industry-relevant instruction that bridges business goals with technical execution.

In AI Agents for Business, Siew Yee uses that combination of business and technical experience to show how AI agents can automate processes, improve productivity and support better decisions. Learners cover the foundations of AI agents for business, including how they combine large language models with tools and data, then build business AI agents and integrate them with existing systems. They go on to design intelligent business automation with AI agents and finish by deploying, governing and optimising agents in production. Drawing on a background in AI governance and responsible AI, Siew Yee helps participants put appropriate controls in place so their agents deliver value safely and reliably.

Truman Ng is an AI infrastructure and cloud automation specialist with more than 20 years of experience in enterprise networking, cybersecurity and intelligent systems integration. His expertise lies in building scalable AI pipelines and integrating model fine-tuning within secure cloud-based environments, and he has taught learners how to deploy fine-tuned large language models and securely manage the vector databases used in Retrieval-Augmented Generation. He has trained global corporate teams in DevOps, AI deployment and cloud orchestration, and holds PMP and Huawei HCIE certifications alongside his ACTA trainer certification.

In WSQ AI Agents for Business, Truman helps learners design, build and deploy AI agents that automate business processes and support better decisions. Participants learn how agents combine large language models with reasoning, planning, memory and tool integration, then build and integrate business agents and apply them to the intelligent automation of everyday workflows. The course closes with deploying, governing and optimising agents in production. His background in AI pipelines, retrieval and secure cloud deployment gives learners a practical understanding of what makes agents reliable, so they leave ready to apply agents that improve productivity while working effectively alongside people.

Review

Customer Reviews (12)

will recomnend Review by Course Participant/Trainee
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. (Posted on 4/6/2025)
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. (Posted on 12/18/2024)
will recommend Review by Course Participant/Trainee
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The trainer is very knowledgeable. I hope the source code can tally more with the slides. (Posted on 10/27/2024)
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. (Posted on 1/27/2024)
Interesting course in this GPT era. Review by Course Participant/Trainee
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So far so good, the pace is match with my learning. (Posted on 12/1/2023)

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