AI‑Powered Market Sizing is a practical, business-focused course for professionals in market research, strategy, insights, growth, product marketing, consulting, and related functions. It introduces the role of AI agents in research workflows and explains how they differ from standard chatbots by combining a model, memory, reasoning, and tools to work more autonomously across multi-step tasks.
The course begins by helping learners distinguish between a basic LLM chatbot and a true AI agent. Learners explore the four core pillars of agent design—Brain, Memory, Planning, and Tools—and see why agentic systems are valuable in market sizing, where data is often fragmented across industry reports, company websites, analyst commentary, government statistics, and proxy indicators.
Learners then move from concept to application by designing end-to-end market sizing workflows that use AI agents for source discovery, data scraping, competitor mapping, trend synthesis, assumption generation, and building defensible TAM, SAM, and SOM estimates. The course emphasizes that AI should accelerate research, not replace judgment, so learners practice creating workflows that preserve transparency, source traceability, and triangulation.
Finally, learners assess and select the right agentic platforms for different research goals. They compare low-code and code-light tools such as Zapier Central, Lindy, and CrewAI using criteria including ease of use, integrations, data privacy, budget, and governance. The course concludes with Human-in-the-Loop practices to ensure AI-generated assumptions, citations, and calculations are validated against trusted sources and reviewed for hallucinations, bias, and ethical risk.
By the end of the course, learners will produce a practical AI‑Powered Market Sizing Blueprint they can adapt for real business use.
