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Each batch has its own dates, timing and fee. Pick one to see its details and book.
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.
IT, Software & SaaS: AI writes and reviews code, predicts which customers will leave, routes support tickets and keeps cloud systems running.
Free courses and datasets for IT, Software & SaaS →Month by month
Every month ends with an end-to-end project you can show employers, from IT, Software & SaaS.
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 · IT, Software & SaaS
Server log analyser
Parse a week of web-server logs, count errors by page and hour, and write a short report on the worst incidents.
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 · IT, Software & SaaS
SaaS subscription analytics
Load subscription and usage data into a database and work out monthly revenue, churn and cohort retention with SQL and pandas.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · IT, Software & SaaS
Sign-up page A/B test
Analyse a sign-up experiment, test whether the new page really converts better, and present the result with clear charts.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · IT, Software & SaaS
Customer churn predictor
Predict which SaaS customers will cancel next month from their usage and support history.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · IT, Software & SaaS
Incident severity model
Predict which monitoring alerts turn into major incidents (a rare, imbalanced outcome) and explain each prediction with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · IT, Software & SaaS
Bug screenshot tagger
Train an image model that sorts app screenshots (login, error, payment, dashboard) so bug reports reach the right team.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · IT, Software & SaaS
Support ticket router
Classify support tickets by product and urgency and send each to the right team, with the product names pulled out.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · IT, Software & SaaS
Server load forecast
Forecast hourly traffic and CPU load for capacity planning, including weekly patterns and launch days.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · IT, Software & SaaS
Developer docs assistant
Build a RAG assistant over an open-source project's documentation that answers questions with links to the right pages.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · IT, Software & SaaS
Code review agent
Create an agent that reads a pull request, runs the tests and linters, and drafts review comments for a human to approve.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · IT, Software & SaaS
Churn model in production
Serve the churn model as an API with Docker, automated tests, a model registry and drift monitoring.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · IT, Software & SaaS
Software capstone
Add a working AI feature to a real product, such as smart search or ticket deflection, deploy it 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. |