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
-
1
Book a free seat
No payment now. Your seat is held in the next batch.
-
2
Pay when the batch is confirmed
We email you; pay within 48 hours to keep your seat.
-
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.
Month by month
Every month ends with an end-to-end project you can show employers.
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
Personal finance tracker
Read a year of UPI and bank-statement transactions, clean them, 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
E-commerce sales analysis
Load an Indian online-retail dataset into a database, answer business questions in SQL and pandas, and present the findings.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project
IPL cricket analytics report
Explore ball-by-ball IPL data, test a few popular claims with statistics, and publish an interactive report.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project
House price predictor
Predict flat prices in Hyderabad and Bengaluru from listing data, compare models and explain which features matter.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project
Loan default risk model
Build a credit-risk model on lending data, handle class imbalance, and explain individual decisions fairly.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project
Crop disease detection
Train an image classifier that spots common leaf diseases in Indian crops from phone photos.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project
Customer review analyser
Classify the sentiment and topics of English and Hindi product reviews and summarise what customers complain about.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project
Demand forecasting
Forecast daily electricity demand or store sales, including festival effects, and measure the error against a baseline.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project
Government schemes assistant
Build a chatbot that answers questions about Indian government schemes from their official documents, with sources cited.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project
Job-search assistant
Create an agent that reads a résumé, searches open fresher roles, and drafts tailored applications for review.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project
Production model service
Package one of your earlier models as an API, deploy it with automated tests and monitoring, and document it.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project
Industry capstone
Solve an end-to-end problem with a mentor, from data to deployed product, 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. |