A Methodological Approach to AI and Innovation
Babson College (Founderz + Microsoft)
Last updated October 14, 2026
A Methodological Approach to AI and Innovation teaches AI-THINK, Founderz's five-stage innovation methodology (Tune, Hypothesis, Implement, Network, Knowledge), through a guided case study rather than abstract theory. Sold through Babson College's Professional & Executive Education storefront but built by Founderz with Microsoft, the roughly two-hour self-paced course has you research real online conversations, build user personas, generate and shortlist solution ideas, assemble a no-code or low-code minimum viable product (MVP) landing page with AI-assisted tools, and design an outreach plan to test it — all technology-agnostic, usable with ChatGPT, Copilot, or any AI tool you prefer.
What you'll learn
- AI-THINK, a five-stage AI-assisted innovation methodology: Tune, Hypothesis, Implement, Network, Knowledge
- Finding and analyzing real online conversations at scale to identify audiences and pain points
- Building actionable user personas and shortlisting solution ideas by impact, innovation, and feasibility
- Turning an idea into a no-code/low-code MVP landing page using AI-generated assets
- Collecting and interpreting feedback to decide whether to iterate, pivot, or stop
Frequently asked questions about A Methodological Approach to AI and Innovation
Who is A Methodological Approach to AI and Innovation for?
Professionals who want a structured, repeatable method for using AI to find and validate new ideas — whether for their own venture or a project inside a company they work for — not just a tour of AI capabilities.
Is A Methodological Approach to AI and Innovation free?
No — A Methodological Approach to AI and Innovation is a paid course.
What are the prerequisites for A Methodological Approach to AI and Innovation?
None. Suggested (not required) preparation: Babson's free "Fundamentals of AI" starter badge.
Why we suggest this course
It teaches a named five-stage method through a single case study that you work through from research to launch, and it ends with an artifact, an MVP landing page, rather than a set of notes. The tooling is deliberately interchangeable, so the process still holds whichever AI assistant you settle on. One thing to know: the Babson name here is the storefront and the credential, not the authorship — the curriculum was built by Founderz with Microsoft, not by Babson faculty, so the expertise behind it is Founderz's and Microsoft's.