Master AI & ML frameworks that automate tasks, uncover insights, and future-proof a career in market research
Are you prepared for AI disruption in market research?
What you’ll learn
- Understand market research foundations.
- Differences between qualitative and qualitative methods and data.
- What is AI and ML.
- How to solve problems in researching using AI/ML.
- A framework for problem solving in research through AI.
- Prompt engineering for market research.
- How to automate highly manual tasks in research through AI/ML.
Course Content
- Introduction –> 2 lectures • 10min.
- Getting Started –> 1 lecture • 1min.
- Introduction to Market Research –> 10 lectures • 57min.
- Market Research & AI/ML –> 6 lectures • 37min.
- Data Types & Structures in Market Research –> 10 lectures • 1hr 2min.
- Problem Solving & Tasks –> 6 lectures • 55min.
- AI & Models –> 5 lectures • 28min.
- AI Methods & Architectures –> 3 lectures • 16min.
- Hands-on Activity #1: Quantitative Data Exploration –> 8 lectures • 54min.
- Hands-on Activity #2: Building an LLM Powered App –> 4 lectures • 20min.
Requirements
Are you prepared for AI disruption in market research?
The artificial intelligence revolution is here, and it’s changing all the rules. For market research professionals, the productivity gap between those who leverage AI and those who don’t is widening fast. Today, the demand isn’t just for data literacy; it’s for AI literacy. That is, the ability to apply Artificial Intelligence (AI) and Machine Learning (ML) to research isn’t a future skill, it’s a present-day necessity for anyone who wants to deliver faster, deeper, and more impactful insights.
This course has been designed by two experts in their respective fields, including Gary Ang (PhD), an AI scientist and responsible AI expert with more than a decade of experience in risk management, and who also actively builds with AI; as well as Stephen Tracy, a data scientist and entrepreneur with more than a decade of experience working in the field of market research.
This course was designed to be the definitive bridge between foundational market research principles and the revolutionary power of artificial intelligence. It isn’t just a course about AI theory; it’s a practical, task-driven playbook designed to equip you with a systematic framework for solving real-world research problems. You won’t just learn about AI; you’ll learn how to think with AI when conducting market research.
This comprehensive course is packed with everything you need to become a next-generation research professional. Some of the key topics you’ll master include:
- Core foundations in both market research methodologies and AI/ML principles.
- The difference between Generative AI, traditional AI, and Machine Learning, and when to use each.
- Prompt engineering for researchers: How to craft the perfect prompts to extract meaningful insights from AI tools.
- A powerful task-driven framework for breaking down complex research challenges into AI-solvable tasks.
- Working with diverse research data, from structured tabular data (surveys) to unstructured text data (interviews).
- A clear look under the hood at how AI models work, from supervised vs. unsupervised learning to the magic behind Generative AI.
- How to use AI to automate qualitative analysis, summarize findings, and streamline tedious research stages.
You’ll also gain access to a rich library of downloadable resources, including process templates, prompt engineering cheat sheets, and practical guides. We’ll work through hands-on activities that show you exactly how to apply these techniques from start to finish.
So whether you’re a seasoned market researcher looking to stay ahead of the curve, a product manager seeking faster insights, or an aspiring data professional wanting to build a future-proof skill set, this is the course for you!