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Live weekend classes
AI & Data Science Program
Live weekend classes and 12 industry projects, from your first line of Python to job-ready AI engineering.
- 12 months
- Sundays
- 3 hours a week
- 12 industry projects
- 14 industry tracks to choose from
- Beginner → Advanced → Expert
Learn AI and data science on weekends, alongside college or work. Every month you learn one area in live classes and finish an end-to-end project on real industry data, so by the end you have 12 projects to show employers. Classes are live and recorded, taught by industry practitioners, in small batches.
Fees
Monthly
₹2,999 / month
Pay each month (UPI AutoPay or card). Cancel any time; access runs to the end of the paid month.
One-time
₹32,390 for 12 months
The whole program, plus recordings of earlier batches.
How joining works
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1
Book a free seat
No payment now. Your seat is held in the next batch.
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2
Pay when the batch is confirmed
We email you; pay within 48 hours to keep your seat.
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3
Join live weekend classes
Classes are recorded, so you can catch up on anything you miss.
Choose your industry track
Everyone learns the same AI skills each month. Your 12 projects come from the industry you choose, so you finish with a portfolio for the jobs you want.
Banking & Fintech: AI scores credit, catches fraud in UPI and card payments, speeds up KYC and powers banking chatbots.
Free courses and datasets for Banking & Fintech →Month by month
Every month ends with an end-to-end project you can show employers, from Banking & Fintech.
Month 1 Python for data Beginner
Python basics, data types, loops and functions; working with files, CSV and JSON; virtual environments, Jupyter and Git.
Project · Banking & Fintech
Bank statement analyser
Read a year of UPI and card transactions, sort them into categories and print a monthly spending summary.
Month 2 Data analysis with pandas and SQL Beginner
pandas DataFrames, cleaning and joining data, group-by and pivot tables; SQL queries, joins and window functions.
Project · Banking & Fintech
Digital payments trends
Load RBI payment-system data into a database and analyse how UPI, cards and NEFT have grown month by month.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Banking & Fintech
Loan approval fairness study
Test with statistics whether loan approval rates differ across groups of applicants, and chart what you find.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Banking & Fintech
Credit risk model
Predict loan default from applicant and loan details with logistic regression and decision trees.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Banking & Fintech
Card fraud detector
Catch rare fraudulent card transactions with gradient boosting, handle the extreme imbalance and explain alerts with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Banking & Fintech
Cheque and form reader
Train an image model on synthetic samples that recognises cheques and bank forms and checks that a signature is present.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Banking & Fintech
Customer complaint classifier
Classify banking complaints in English and Hindi into RBI Ombudsman categories and spot the most common problems.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Banking & Fintech
ATM cash demand forecast
Forecast daily cash withdrawals for a set of ATMs, including salary days and festivals, to plan cash loading.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Banking & Fintech
RBI circulars assistant
Build a RAG assistant that answers questions from RBI circulars and master directions, citing the exact paragraph.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Banking & Fintech
KYC review agent
Create an agent that checks a synthetic KYC file against the rules, lists what is missing and drafts a request to the customer.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Banking & Fintech
Real-time fraud scoring service
Deploy the fraud model as a low-latency API with logging, monitoring and an alert when the data drifts.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Banking & Fintech
Banking capstone
Solve a real banking or fintech problem end to end, such as loan underwriting support, and present it to a panel.
What you can watch
| Monthly | Your batch's live classes and recordings, from the batch start to the current month, while your payments are up to date. |
|---|---|
| One-time | Your whole batch, plus recordings of earlier batches. |
| Joining a running batch | That batch's earlier recordings, so you can catch up. |
| After you finish | 12 more months of free access. |