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Agentic AI for Market Research

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

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

  • LO1: Identify market research objectives, data and sources with Claude Cowork and MCP tools.
  • LO2: Analyse market trends and industry developments with agentic AI.
  • LO3: Analyse customer behaviour and market dynamics, and prepare forecasts.
  • LO4: Evaluate marketing effectiveness using agentic AI models and indicators, and present actionable recommendations.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

Agentic AI for Market Research

Course Code: C386

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What's This Course About

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 Malaysia, where you can browse all our AI courses. See more agentic AI training.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

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

Trainers

Research agents that gather, filter and summarise information are a recurring element in the projects of Dr. Alfred Ang. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, building complete solutions across front ends, back ends, databases, cloud deployment and native mobile apps. An automated YouTube production pipeline, triggered from a simple web form, sends topic requests to an agent that researches the subject, writes a script and assembles the video. Retrieval-augmented chatbots built on n8n answer questions from uploaded documents and brochures, and a stock analysis Telegram agent interprets live market data on demand. Dr. Ang built AI-powered content management systems on the Claude Agent SDK that generate research-backed articles, and a self-improving lead-generation chatbot that learns from the questions prospects actually ask, which doubles as a constant source of customer insight. A tutors marketplace runs a short Claude AI interview to assess applicants, and an AI coaching simulator explores how jobs can be redesigned around accountable AI agents. Dr. Ang also maintains Claude Code skills that automate multi-step knowledge work, and n8n workflows that manage email replies and subscriber lists for the Malaysia and Ghana sites. These projects, part of more than 300 public repositories on GitHub, put agentic research into everyday business operations rather than one-off experiments.

Agentic AI for Market Research applies that experience to the full research cycle using Claude Cowork. Dr. Ang starts with identifying data and sources: defining research objectives, turning them into focused questions and asking the agent to locate credible public information, industry reports and competitor material, while teaching learners to check sources rather than trust a confident summary. The second topic analyses market trends and industry developments, with learners directing Claude Cowork to compare competitors, track shifts in pricing and positioning and synthesise findings into a concise briefing. In the third topic, the focus turns to customer behaviour, market dynamics and simple forecasting, using survey responses, reviews and sales data to identify segments, needs and likely demand. The final topic evaluates marketing effectiveness with agentic AI models and indicators, connecting campaign data to measures such as reach, conversion and return on spend. Dr. Ang demonstrates how to structure an agent's task so its work is traceable, with notes on where each finding came from, and shows learners how to package a repeatable research routine they can rerun every quarter. Sessions mix live demonstration, guided practice on a market of the learner's choosing and group discussion of what the agent got right or wrong. Participants leave with a completed research report and a reusable workflow for future projects. The class also practises briefing the agent clearly so its output matches the decision at hand. Explore the research agents and automation projects behind this course at https://github.com/alfredang

Review

Customer Reviews (7)

Very useful course Review by Course Participant/Trainee
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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 03/05/2026)
Clear and easy to follow Review by Course Participant/Trainee
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
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 16/02/2026)
Great practical training Review by Course Participant/Trainee
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
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 09/12/2024)
Worth every cent Review by Course Participant/Trainee
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
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 07/07/2024)
Hands-on and practical Review by Course Participant/Trainee
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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 19/06/2024)

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