Generative AI for Market Research Analysis

Market research is evolving rapidly, and staying ahead means mastering the tools that can process vast amounts of data in seconds. This course bridges the gap between traditional research methods and modern AI capabilities, showing you how to integrate generative models into your professional toolkit. You will learn to move from manual data sorting to AI-assisted insight generation while maintaining accuracy and ethical standards. What you'll learn: - Understand the fundamental concepts of generative AI and its specific applications in the market research lifecycle. - Apply advanced prompt engineering techniques to extract high-quality insights from raw consumer data. - Analyze qualitative feedback and sentiment at scale using automated language models. - Create comprehensive research summaries and stakeholder reports using AI-assisted drafting. - Practice ethical data handling and learn to identify AI hallucinations in research outputs. - Explore modern retrieval-augmented generation (RAG) patterns to query your own research repositories. The course begins with foundational definitions and terminology before moving into practical applications for data collection, analysis, and reporting. It is designed for market research analysts and managers who are new to AI and want to modernize their professional practice. Start building your future-ready research skills today through clear, text-based instruction.