A hands-on workshop for the next generation of business leaders. Four stages — AI that predicts, AI that reads and writes, AI agents that act, and what it takes to run any of it safely — with something built every day and a demo day to finish.
No programming, AI or data-science background needed · Free tools · Nothing to install
At every stage we study how real companies are using that kind of AI, and where it has failed them. Then students build something with it, on real business data.
One kind predicts, one reads and writes, one acts. Each day takes one of them from concept to a working project, then the last day is about running it in a real business.
What is changing in marketing, sales, finance, HR, consulting, operations and product. The three kinds of AI — one predicts, one reads and writes, one acts. And which business problems suit AI, and which do not.
How AI learns patterns from a company's past data, and why “90% accurate” can still be a bad result. What a wrong flag costs the business, and what a missed case costs. Where to draw the line, what to do when AI is unsure, and what to ask when a vendor or an internal team hands you a model.
How a chatbot actually works, and why it invents facts. How to brief AI properly, and how to check its answer. Reading hundreds of customer messages and finding what matters — and the tasks where a chatbot should not be trusted.
Making AI answer from your company's own rules, prices and policies (RAG), and why it still gets things wrong even with the right documents. What an AI agent is: an assistant allowed to take action. What it may do alone, what needs a signature, and what it must never touch.
Owning an AI system: who is responsible, and what “working well” means. Launching safely — test quietly first, then a few users, then everyone. What to measure after launch, and how to tell when AI has gone stale. What AI costs to run, and why the bill grows with use. What you can and cannot put into AI tools under India's data privacy law.
Worth saying plainly, so nobody signs up for the wrong thing.
Designed for MBA students with limited technical background. No prior programming, AI or data-science experience required.
Leave with a project you built yourself, and a clear way to talk about AI in any interview or boardroom.
Marketing, sales, finance, HR, consulting, operations and product — each sees what AI is changing in its own work.
A ready-to-run workshop on your academic calendar. All it needs from you is a lab room with Wi-Fi.
Start with a short conversation, try a two-hour pilot if you like, then run the full workshop on your academic calendar.
Grokking builds production document AI for industrial workflows.
IIT engineer, Master's in the US, ex-Amazon data scientist. At Grokking he builds the document-extraction pipelines behind agents in use at NHPC, Indian Oil and Maruti Suzuki.
Master's in Data Science from NJIT, and a data scientist working on pipelines and analytics before Grokking. Leads product and customer work, shaping what gets built around how business teams actually work.
No. The workshop is designed for MBA students with limited technical background. No prior programming, AI or data-science experience is required.
Gemini and NotebookLM, through the free Google AI plan for students, and Google Antigravity, which is free to use, for building the agent.
No. There is no paid cloud account and nothing for the institute to install. Students bring their own laptops, and the institute provides a lab room with Wi-Fi.
A project every day, on real business data: a quote-to-order prediction for factory planning, an analysis of customer reviews, and an assistant built from a sales handbook. On the last afternoon, each team demos what it built and how it would launch and monitor it.
Yes. Day 4 covers what you can and cannot put into AI tools under India's data privacy law, alongside ownership, safe launches, monitoring and running cost.
Four days of roughly six hours each, mixing live sessions with project work, ending with a demo day on the final afternoon. An optional short demo video can follow.
Yes. We start with a 30-minute conversation on audience, dates and emphasis, and can run an optional two-hour pilot session before the full workshop.
Tell us about your students and the dates you have in mind. We’ll set up a 30-minute conversation on audience, dates and emphasis.