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WSQ - Agentic AI for Market Research

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.

TSC Title: Market Research
TSC Code: ICT-SNM-3007-1.1

Funding for this course is valid from 19 Dec 2022 to 18 Dec 2026. Register and complete the course within this period to qualify for funding support.

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

LO1: Determine data types and identify data sources using analytical tool.
LO2: Analyze market trends using reports to gather data and determine variables.
LO3: Analyze customer behavior and dynamics using explorations and forecasting techniques.
LO4: Evaluate the effectiveness of marketing efforts using modeling techniques, indicators, events and conversions.

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 for Market Research

Course Code: TGS-2022017520

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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This course equips participants with practical skills to use Claude Cowork and agentic AI to conduct efficient, structured, and insight-driven market research. Learners will use Claude Cowork to define research objectives, formulate research questions, identify reliable information sources, analyse competitors, explore industry trends, and understand customer needs and behaviours.

Participants will learn how to connect Claude Cowork with relevant documents, datasets, business applications, and research sources through Model Context Protocol (MCP) tools. These integrations enable AI-assisted workflows for gathering, organising, comparing, and synthesising information from multiple sources while maintaining human oversight and verifying the reliability of findings.

The course also guides learners in creating custom Claude Skills from real-world market research processes. These reusable skills can support activities such as developing customer personas, analysing survey responses, conducting competitor comparisons, evaluating market opportunities, identifying emerging trends, and producing structured research reports. Participants will learn to incorporate research frameworks, templates, evaluation criteria, and reporting standards into repeatable workflows.

Through hands-on activities and practical business scenarios, learners will use Claude Cowork to transform complex information into clear findings, visual summaries, and actionable recommendations. By the end of the course, participants will be able to build an agentic market research workflow that improves research efficiency, strengthens evidence-based decision-making, and supports the development of effective marketing and business strategies.

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

Full Fee $800.00 Before GST

GST $72.00 9% of fee

Baseline Nett $472.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $312.00 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: Identifying Market Research Data and Sources with Claude Cowork

Topic 2: Analysing Market Trends and Industry Developments

Topic 3: Customer Behaviour Analysis, Market Dynamics and Forecasting

Topic 4: Evaluating Marketing Effectiveness with Agentic AI Models and Indicators

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 free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)

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.

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-2022017520.
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

Market Research Analyst
Market Intelligence Specialist
Consumer Insights Analyst
Competitive Intelligence Analyst
Digital Marketing Specialist
Content Marketing Manager
E-commerce Manager
User Experience (UX) Researcher
Business Analyst
Strategy and Planning Executive
Product Manager
Brand Strategist
Customer Acquisition Specialist
Media Planner
Business Owner or Entrepreneur conducting market research

Trainers

Dr. Alfred Ang builds autonomous AI agents that research, analyse and report, the core skills behind agentic market research. He is a full-stack AI developer and Agentic AI solution architect who designs multi-agent systems with frameworks such as n8n, Langflow, Flowise, the OpenAI Agents SDK, Google Gemini Agent SDK, Claude Agent SDK, Microsoft AutoGen and CrewAI, and he is the founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. His credentials combine analytics and AI: Microsoft Certified Power BI Data Analyst (PL-300), Data Scientist (DP-100) and AI Engineer Associate (AI-102), AWS Certified AI Practitioner and a Certificate in AI Ethics and Governance (Senior Professional) from NTU, together with a PhD in Electrical Engineering from NUS. In his GitHub portfolio, n8n-financeadvisor pairs live market charts with a Telegram AI agent that gives Buy, Sell or Hold recommendations with its reasoning; n8n-ragdemo answers questions grounded in uploaded documents; n8n-inventorycontrol audits data and computes replenishment forecasts; and hermes-video-pipeline uses an agent that researches a topic before producing content. He has also built several lead-magnet websites for consultancy and marketing scenarios, as well as ai-cms and ai-pei, Claude Agent SDK platforms with self-improving lead-gen chatbots, so he understands how research findings flow into real marketing decisions and campaigns. He is also an IBM certified instructor for the AI Practitioners course and an ACTA-certified trainer.

WSQ - Agentic AI for Market Research shows marketing, business development and strategy professionals how to run market research with AI agents doing much of the gathering and analysis. The first topic identifies market research data and sources with Claude Cowork, defining research objectives and questions and connecting the agent to documents, datasets and research sources through Model Context Protocol (MCP) tools. Learners then analyse market trends and industry developments, and in the third topic move to customer behaviour analysis, market dynamics and forecasting, using agents to segment customers, interpret signals and test simple forecasts. The final topic evaluates marketing effectiveness with agentic AI models and indicators, connecting campaign data to measurable outcomes. Dr. Ang's work with the Claude Agent SDK and RAG pipelines means he can show learners how to brief an agent precisely, ground its answers in sources they can verify, and catch the confident but unsupported claims that undermine research credibility. His data analytics certifications shape the emphasis on clean data, sensible indicators and charts that decision makers can read at a glance. He also covers responsible use, including protecting confidential data and documenting how conclusions were reached. The course is hands-on throughout, with each learner researching a market of their choice and producing an evidence-backed market research brief by the end. Learners also see how to save their research workflow so that it can be rerun as markets change. To see his agentic AI projects, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Allen Wong is a forward-thinking digital marketing strategist who integrates agentic AI tools and AI-powered insights into customer-centric strategy. With a strong focus on market research, CRM and automation, he has generated over $5M in revenue through data-driven campaigns. His experience includes leadership roles in e-commerce, events marketing and digital consultancy, where he consistently applied analytics to raise visibility, optimise return on ad spend and strengthen customer engagement. As CEO and Founder of Medistation Pte. Ltd., he leads business growth initiatives and continues to consult across industries, and he is certified in ACLP, SEO and digital marketing.

In this WSQ course, Agentic AI for Market Research, Allen shows participants how to use Claude Cowork and agentic AI to run efficient, structured research. Learners identify market research data and sources with Claude Cowork, analyse market trends and industry developments, examine customer behaviour, market dynamics and forecasting, and evaluate marketing effectiveness with agentic AI models and indicators. His hands-on approach centres on unlocking deeper market insights, building reusable research workflows and turning findings into actionable business outcomes. Participants leave able to define research objectives clearly, gather evidence from reliable sources and present conclusions that support sound marketing decisions.

Janice Ong is a seasoned digital marketing and e-commerce professional with more than 20 years of experience spanning business development, SEO/SEM and online marketing strategy. As a WSQ-certified ACLP trainer, she has delivered training in digital marketing, e-commerce and web analytics to learners ranging from C-level executives to entrepreneurs and students. Her hands-on expertise in customer insights and market analysis allows her to guide learners in applying agentic AI techniques to research markets, understand customers and improve ROI. Her corporate track record includes leading global marketing initiatives at Creative Technology and other multinational firms, and as a freelance consultant she has helped businesses grow online sales and customer engagement.

In Agentic AI for Market Research, she shows learners how to use Claude Cowork and agentic AI to conduct structured, insight-driven research. Participants first identify market research data and reliable sources, defining objectives and research questions, then analyse market trends and industry developments. They go on to customer behaviour analysis, market dynamics and forecasting, and finish by evaluating marketing effectiveness with agentic AI models and indicators. Her ability to bridge strategic marketing with insight-driven research ensures participants gain practical business applications as well as technical agentic AI skills, so they leave able to elevate their organisation's understanding of its market.

Raymond Teoh is an accomplished digital marketing leader with deep expertise in market intelligence, analytics, digital advertising and marketing channel performance across Singapore, Malaysia and Greater China. Having led digital strategies for listed companies such as Singapore Press Holdings, Innity and iClick Interactive, he has applied advanced analytics, SEO, SEM and content marketing to deliver measurable growth, including scaling SPH's interactive business revenue by 400 per cent and turning iClick from losses to profitability. As an ACLP-certified trainer, he has conducted workshops with SIRS (Nanyang Polytechnic) and the Singapore Productivity Centre.

In Agentic AI for Market Research, Raymond equips learners with agentic AI techniques to research market trends, analyse customer behaviour and unlock business value through evidence-based decision-making. Using Claude Cowork, participants identify market research data and reliable sources, analyse market trends and industry developments, examine customer behaviour, market dynamics and forecasting, and evaluate marketing effectiveness with agentic AI models and indicators. His experience of leveraging analytics and consumer insights for business outcomes helps learners ask sharper questions and interpret results commercially. Participants leave able to run structured, insight-driven market research far more efficiently.