Programmes that build business judgement, not just tool skills — people who can read data, question it, and use AI tools without losing their own judgement. Designed and taught personally by Swarup Kumar.
One flagship programme, delivered in two parts across the semester.
The flagship programme for MBA and M.Com cohorts. Two parts in one arc: reading and presenting business numbers the way finance teams do, then using AI tools on that work — and catching their mistakes.
Read a company P&L, prepare data in Excel, find the budget-vs-actual gaps that matter, and present a three-slide variance story.
Use AI tools on real business tasks, spot invented numbers and confident errors, understand data privacy boundaries, and deliver an AI-assisted decision memo.
Students leave with two team capstones, a verification checklist for AI output, and an assessed certificate.
B.Com, BBA and BCA — the same structure, fitted to the semester calendar.
The same structure as the flagship at a shorter duration, with contact hours fitted to the semester calendar.
A 12-hour foundation in reading business data honestly: what a metric measures, where averages mislead, how to test a claim, and how to present a finding so a decision follows. Ends with a case study submission.
Hands-on Excel, Power BI, Python and Tableau, at Basic and Advanced level. A natural fit for BCA and analytics-minded commerce students.
See the tools coursesContent can be adapted for BCA cohorts.
Register your interest and we will tell you when the first batch forms.
For engineering graduates and technology professionals moving into AI delivery: scoping a use case, evaluation and acceptance criteria, deployment gates, model risk and governance, and running a pilot that survives production.
Hands-on tool courses, open cohorts, compliance readiness, and private batches built around your own data.
Basic: the data model, Power Query, core DAX, and a report people will actually open. Advanced: model optimisation, DAX at depth, and auditing the performance of an existing report estate.
Basic: clean structure, lookups, and dependable summary reporting. Advanced: Power Query, Power Pivot, dynamic arrays and modelling patterns — built around finance and accounting work.
Basic: fundamentals, pandas, cleaning and exploratory analysis. Advanced: analysis at scale, visualisation, and an introduction to applied machine-learning workflows.
Basic: connecting data, chart grammar, and a first dashboard that answers a question. Advanced: calculations, LOD expressions, dashboard performance, and publishing and governance concepts.
Not part of a campus or corporate batch? Join a live online open cohort.
RegisterBuilt around your data and your tools, adapted before the first session.
HIPAA and GDPR awareness for product, engineering and delivery teams: lawful basis, data minimisation, retention, breach response, and what changes in daily engineering practice.
ISO 13485 for medical devices, ISO 26262 for automotive functional safety, and ISO 27001 for information security — awareness and readiness for engineering and quality teams.
Evaluation evidence, deployment gates, human oversight, vendor and model risk, and documenting decisions so they hold up in an audit.
These are practitioner-led training and readiness sessions, not accredited certification exams. Eeshaanvi is not a certification body for these standards. Where a formal certificate is required, we will name the issuing body.
We run campus programmes with MBA schools and colleges, fitted to your academic calendar.
Tell us the cohort, the semester window and the contact hours available, and we will come back with a programme plan fitted to it.
Business Data & AI Readiness — 24 hours across 8 sessions.
Undergraduate edition, or From Numbers to Decisions.
AI in Management Teaching — 3-hour workshop.
There is no fixed public calendar. Batches are scheduled around the group.
Fitted to the semester calendar for MBA, M.Com, B.Com, BBA, BCA and engineering cohorts.
Built around your data and your tools, adapted before the first session.
Instructor-led, with the same exercises and case study as the in-person batch.
Open cohorts run when a batch fills.
Tell us who needs training and when.
Talk to us about a batch