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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.
Agriculture & Food: AI spots crop disease in phone photos, forecasts prices and yields, and advises farmers in their own language.
Free courses and datasets for Agriculture & Food →Month by month
Every month ends with an end-to-end project you can show employers, from Agriculture & Food.
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 · Agriculture & Food
Mandi price tracker
Read Agmarknet market prices and summarise prices for each crop and market by 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 · Agriculture & Food
Crop production analysis
Load district crop-production data from data.gov.in into a database and find the leading districts for each crop.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Agriculture & Food
Rainfall and yield study
Use IMD rainfall data and crop yields to test how much the monsoon affects production, with charts.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Agriculture & Food
Crop yield predictor
Predict crop yield from rainfall, temperature, soil and fertiliser use with regression models.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Agriculture & Food
Crop recommendation model
Recommend the best crop for a field from soil and weather data, and explain each recommendation with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Agriculture & Food
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 · Agriculture & Food
Farmer query classifier
Classify farmers' questions in Telugu, Hindi and English (pests, prices, schemes, weather) to route them to experts.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Agriculture & Food
Mandi price forecast
Forecast weekly prices of onion, tomato or another crop so farmers can decide when to sell.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Agriculture & Food
Farm schemes assistant
Build a multilingual RAG assistant that explains PM-KISAN and crop insurance (PMFBY) from official documents.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Agriculture & Food
Farm advisory agent
Create an agent that combines the weather forecast and the crop calendar to draft advice messages for farmers.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Agriculture & Food
Disease detection on low bandwidth
Deploy the crop disease model as a light API that works on slow mobile networks, with monitoring.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Agriculture & Food
Agriculture capstone
Solve a real farming, food-processing or agri-business 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. |