Choose your batch
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.
Construction, Infrastructure & Smart Cities: AI estimates project costs and delays, inspects structures with drones, manages traffic and plans cleaner cities.
Free courses and datasets for Construction, Infrastructure & Smart Cities →Month by month
Every month ends with an end-to-end project you can show employers, from Construction, Infrastructure & Smart Cities.
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 · Construction, Infrastructure & Smart Cities
Site progress tracker
Clean daily site progress reports and summarise work done and materials used for each week.
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 · Construction, Infrastructure & Smart Cities
Project cost overrun analysis
Analyse public infrastructure project data with SQL to find which kinds of projects run over time and budget.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Construction, Infrastructure & Smart Cities
City air quality study
Compare CPCB air-quality data across cities and seasons with statistics and clear charts.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Construction, Infrastructure & Smart Cities
Concrete strength predictor
Predict concrete strength from its mix and age with regression models, using a well-known open dataset.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Construction, Infrastructure & Smart Cities
Project delay risk model
Predict which construction projects will be delayed and explain the main risks with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Construction, Infrastructure & Smart Cities
Crack detection
Train an image model that finds cracks in photos of concrete walls, roads and bridges.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Construction, Infrastructure & Smart Cities
Tender document analyser
Classify tender and contract documents and pull out key dates, amounts and penalty clauses with NLP.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Construction, Infrastructure & Smart Cities
Air quality forecast
Forecast a city's daily air quality a few days ahead, including the effects of season and festivals.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Construction, Infrastructure & Smart Cities
Building rules assistant
Build a RAG assistant over building codes and RERA rules that answers questions with the exact section.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Construction, Infrastructure & Smart Cities
Citizen complaint agent
Create an agent that reads citizens' complaints (potholes, water, garbage), routes them to the right department and tracks them.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Construction, Infrastructure & Smart Cities
Air quality dashboard in production
Deploy the air-quality forecast as a daily-updated dashboard and API with monitoring.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Construction, Infrastructure & Smart Cities
Infrastructure capstone
Solve a real construction, urban or smart-city problem end to end with a mentor 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. |