Eligibility
Eligibility
Graduation in any discipline.
Stop making decisions on gut feel alone!
Graduation in any discipline.
If any of this sound familiar, this programme was built for you.
You rely on analysts to translate numbers. You want to understand them yourself.
GenAI, LLMs, prompt engineering — you hear these terms daily but haven't used them strategically.
A structured, credentialled programme from IIT Delhi is the accelerator you need.
Live sessions only on Saturdays. No travel. No career disruption. Just 3 hours a week.
Progressive mastery — each module builds on the last, from data foundations to cloud platforms and a real capstone project.
*Disclaimer - “The list of tools and topics mentioned is indicative and may be modified as per programme requirements and at the discretion of the Programme Coordinator.”
Every tool in this programme is available free or on a free tier — no hidden software costs.
*Disclaimer - “The list of tools and topics mentioned is indicative and may be modified as per programme requirements and at the discretion of the Programme Coordinator.”
After six months you will be able to do things, not just talk about them.
Build dashboards and surface patterns from raw, messy data using Python and Power BI.
Regression, classification, clustering — with train/test evaluation and hypothesis testing.
Formulate business problems as optimisation models and run Monte Carlo risk scenarios.
Prompt engineering, LLM integration, and AI workflow automation in your existing role.
CLV models, fraud pipelines, attrition predictors, demand forecasting — for your domain.
A real business problem solved end-to-end. Something you can show in interviews and reviews.
Professor, Dept. of Management Studies
IIT Delhi
Professor Sharma is a distinguished academic in Economics at IIT Delhi's Department of Management Studies, with research spanning Sustainable Development, Productivity Analysis, Policy Research, and Socio-economic Studies. Her publications appear in top journals by Springer, Elsevier, Taylor & Francis, Sage, and Emerald. She has presented research internationally across the USA, Japan, Australia, Thailand, Indonesia, and Czech Republic, and teaches Managerial Economics, Statistical Analysis, and Advanced Data Analysis to MBA and PhD students at IIT Delhi.
Candidates must score at least 50% overall across all assessments and maintain a minimum 50% attendance. Grading is split: Mid-Programme Exam 25%, End-Programme Exam 25%, Assignments & Quizzes 20%, Capstone Project 20%, Attendance 10%.