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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
- 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.
Target Age Group: 18-65 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
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
Dr. Alfred Ang combines deep technical knowledge of AI agents with a long entrepreneurial track record of reading markets and building businesses. He founded Tertiary Courses, Tertiary Robotics and Tertiary Courses Malaysia, and today serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. As a full-stack AI developer and Agentic AI solution architect, he helps enterprises adopt agentic AI for analytics and decision support, using LLMs, RAG pipelines and multi-agent systems built with frameworks such as the Claude Agent SDK, n8n, CrewAI and the OpenAI Agents SDK. His analytical foundations are strong: he holds a PhD in Electrical Engineering from NUS, has published more than 20 peer-reviewed papers, and is a Microsoft Certified Data Scientist (DP-100) and Power BI Data Analyst (PL-300), as well as a Neo4j Certified Professional. Among his 300+ public GitHub repositories are a stock analysis dashboard paired with an n8n-powered Telegram AI agent that gives buy, sell or hold recommendations with its reasoning; a self-hosted AI CMS built on the Claude Agent SDK with SEO and lead capture built in; and a range of lead-magnet and marketing sites for consultancies, which reflect how he thinks about customer needs and positioning. He is also an ACTA-certified trainer and DACE-certified curriculum developer, and he designs customised corporate training in AI and data for organisations, so he is used to translating complex analytical techniques into practical workflows that business professionals can apply without a technical background.
In this course, Dr. Ang brings that blend of agent engineering and business sense to market research with Claude Cowork. Learners start by defining research objectives and questions, then identify reliable sources and connect Claude Cowork to documents, datasets, business applications and research sources through Model Context Protocol (MCP) tools, an integration pattern he works with when building agents on the Claude Agent SDK. They go on to analyse competitors, market trends and industry developments, examine customer behaviour and market dynamics, and produce simple forecasts. The final topic turns to evaluating marketing effectiveness using agentic AI together with sensible models and indicators. Throughout, he stresses research discipline: checking sources, separating evidence from AI speculation, documenting assumptions and keeping a human analyst accountable for the conclusions. His style is practical and case-based, with participants working through a realistic market question from start to finish and leaving with a reusable, AI-assisted research workflow that produces structured, insight-driven reports. He also shows how to structure prompts and agent tasks so that research outputs are consistent and comparable from one project to the next, and how to present findings clearly to management with supporting evidence. Because the course is built around agentic workflows rather than single prompts, learners see how several research steps can be chained together and repeated whenever new data arrives. To see the agent and analytics projects he has published, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Data-driven decision-making sits at the heart of Allen Wong's work as a digital marketing strategist. An ACTA-certified trainer with more than eight years of experience across e-commerce, events, FMCG, real estate and finance, he has delivered a career-wide return on ad spend of 300%, peaking at 1000% in events, and generated $2M in e-commerce revenue and over $5M in sales. Allen is an AI enthusiast whose approach to marketing is built on evidence and cost-effective execution, a natural fit for research that has to translate quickly into commercial action.
Agentic AI for Market Research shows participants how to use Claude Cowork and agentic AI to run structured, insight-driven research. Learners identify market research data and reliable sources with Claude Cowork, analyse market trends and industry developments, study customer behaviour, market dynamics and forecasting, and evaluate marketing effectiveness using agentic AI models and indicators. Drawing on his exposure to several very different industries, Allen helps learners frame sharp research questions, compare competitors and test whether the findings hold up. Participants leave able to produce research that is faster to compile and easier to act on, while retaining their own judgement over the conclusions.
Oh Boon Sai Patrick is an ACTA-certified trainer and seasoned management consultant specialising in PDPA (Personal Data Protection Act) compliance and Enterprise Development Grant (EDG) consultancy. In PDPA compliance, he advises on data protection strategies, conducts audits, delivers customised awareness training and ensures seamless integration into existing business processes. For EDG projects, he guides businesses on eligibility and application, conducts capability assessments, develops project proposals and provides ongoing project management. He has a strong track record of enhancing data security and operational efficiency, helping businesses achieve regulatory compliance and sustainable growth.
In Agentic AI for Market Research, Patrick brings this consulting experience in assessing business capabilities, developing proposals and protecting data to the practice of insight-driven research with Claude Cowork. Learners use Claude Cowork to define research objectives and questions, identify reliable information sources, and connect relevant documents, datasets and business applications. They then analyse market trends and industry developments, examine customer behaviour and market dynamics, and build forecasts, before evaluating marketing effectiveness with agentic AI models and indicators. With his attention to compliance and the responsible handling of business data, participants learn to conduct efficient, structured market research that supports sound business decisions.
Wayne Lim is an ACTA trainer, Agile practitioner and Scrum Master with 11 years of project management experience in the construction and marine sectors. He graduated from RMIT University with a bachelor's degree in construction management and has lectured in tertiary institutions on management, marketing, engineering, mathematics and customer service. He is part of a start-up in the maritime sector and is involved in his family's food and beverage business. His current interests include the R and Python programming languages, DevOps and Agile methodologies, and he combines a practical, business-minded view with an interest in data.
In Agentic AI for Market Research, Wayne brings his background in management, marketing and business operations to research carried out with Claude Cowork and agentic AI. Learners use Claude Cowork to identify market research data and sources, define objectives and formulate research questions, then analyse market trends and industry developments. They go on to examine customer behaviour, market dynamics and forecasting, and finish by evaluating marketing effectiveness with agentic AI models and indicators. His experience running projects and supporting a start-up keeps the focus on research that informs real business decisions. Participants leave able to conduct efficient, structured and insight-driven market research with AI, while checking sources and conclusions with care.
Armand Abdul Rahim is a trainer and learning consultant whose primary expertise lies in digital and product marketing, leadership and management, and project management, built on more than 20 years of InfoComm Technology experience across the Asia Pacific region, including over 10 years in product and programme management. He holds a Master's in Marketing Management, a Post Graduate Diploma in Business Marketing and a Diploma in Information Technology, and serves as an Adjunct Lecturer with DeepNovaSG and London School of Business Finance. He is ACTA and ACLP certified and holds a Diploma in Adult and Continuing Education.
In Agentic AI for Market Research, Armand brings his marketing and technology background to the use of Claude Cowork and agentic AI for structured, insight-driven research. Learners identify market research data and reliable sources, analyse market trends and industry developments, examine customer behaviour, market dynamics and forecasting, and evaluate marketing effectiveness using agentic AI models and indicators. His marketing training helps participants frame the right research questions and interpret findings in a commercial context. With an engaging, learner-focused style, he ensures participants leave able to run faster, better-organised market research and turn the results into practical marketing decisions.
Review
Customer Reviews (14)
- will recommend Review by Course Participant/Trainee
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. (Posted on 5/1/2024)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 - might recommend Review by Course Participant/Trainee
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. (Posted on 11/18/2022)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 - Thank you for organising this workshop. It was very enriching. Review by Course Participant/Trainee
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Thank you for organising this workshop. It was very enriching. (Posted on 11/2/2021)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 - will recommend Review by Course Participant/Trainee
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A little confusion when screens switches1. 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
Good references shared (Posted on 5/10/2021) - will recommend Review by Course Participant/Trainee
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Will b nicer if the hands on segment is more.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 hacks shared were very useful (Posted on 3/29/2021)
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