Why this matters for Business School Students
Before we teach anything, we want to convince you it's worth learning. Three demos and three short stories.
What you'll be able to do
By the end of this course, you'll be able to take a fuzzy business problem — "we should track how our top 50 accounts are using the product" — and ship a working tool that addresses it in a single afternoon. Without filing a ticket with engineering. Without hiring a consultant. Without learning to code in the traditional sense.
Three things a Business School Student built last month
1. The consultant who automated her client deliverable
A second-year associate at a strategy firm was spending six hours every Friday assembling a status report from four different data sources for a Fortune 500 client. She described the report to an AI agent, gave it sample inputs, and now runs the whole thing in twelve minutes — including review time. The agent reads the four sources, formats the report exactly the way the client wants, and flags anomalies for her to investigate.
2. The PM who shipped an internal tool without engineering
A product manager at a mid-size SaaS company wanted to know which of his 200 enterprise customers were trending toward churn. Engineering had a six-month backlog. He built a script that pulls usage data from their warehouse, scores each account on five risk signals, and emails him a weekly digest. His CSMs now use the same script.
3. The founder who validated an idea in a weekend
A first-time founder had a hypothesis about a workflow tool for real-estate brokers. Instead of writing a deck, she built a clickable prototype with fake-but-believable data, sent the link to twelve brokers from her network, and watched what they clicked. She killed the idea on Monday and started on a better one. The whole experiment cost a Saturday and about $4 in API credits.
None of these people learned to code in the traditional sense. They learned to direct an AI that already knows how to code. The skill is in knowing what to ask for, how to structure the work, and how to tell whether the output is any good. That's what this course teaches.
Is this for you?
You'll get the most out of this course if you're comfortable with spreadsheets, willing to spend time on a small amount of setup, and patient enough to learn a new way of working. You don't need to know any programming language. You don't need to be "technical."
You'll get less out of this course if you're looking for a shortcut that requires no thinking. Vibecoding is faster than writing code by hand, but the thinking — what to build, how to structure it, how to verify it — is still on you. The AI is the contractor; you're still the architect.
How to use this site
If you're taking the course top to bottom, start with Module 1 and work through in order. If you're already familiar with prompting and want to skip ahead, the course landing page has a syllabus with prerequisites. If you're returning to look up something specific, the reference section and case library are organized for that.