Syllabus
Every module, every topic, every tool and the hours behind each. Published in full so you can compare it against any other institute in Nagpur before you pay anyone.
Tool stack
Named in full, because a syllabus that says “BI tools” is hiding something.
Module by module
Modules run in this sequence deliberately. Each one assumes the last, which is why the Excel or foundations block comes before anything harder.
Months 1–2
A reusable data-loading and cleaning module of your own
Month 3
An interactive dashboard combining SQL-sourced data and Python plots
Month 4 (first half)
A written statistical analysis with stated assumptions and limits
Months 4–5
A tuned, cross-validated classifier with an honest error analysis
Month 6
An image classifier trained and evaluated end to end
Month 7
A sentiment-analysis model and an OpenCV vision task
Month 8
A RAG-based application over your own document set
Month 9
A deployed model behind a working endpoint, defended in review
Portfolio
Documented, reviewed and defended out loud. This is the part of the syllabus that gets you interviews.
Forecast weekly demand for a retail category, then explain honestly where the model breaks and what it would cost the business.
Build and tune a classifier, then work through the class-imbalance and fairness problems that make this a hard problem rather than a tutorial.
Process real text, build a classifier and interpret it, using embeddings and transformer basics rather than a bag-of-words toy.
Take a model or a RAG application all the way to a running endpoint with a simple interface, so you can demonstrate it live in an interview.
Take it to another institute and ask for theirs in the same detail. That comparison is the whole reason we publish it.
