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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.
Retail, E-commerce & Consumer Goods: AI recommends products, sets prices, forecasts demand and answers shoppers in their own language.
Free courses and datasets for Retail, E-commerce & Consumer Goods →Month by month
Every month ends with an end-to-end project you can show employers, from Retail, E-commerce & Consumer Goods.
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 · Retail, E-commerce & Consumer Goods
Store sales cleaner
Clean a shop's point-of-sale export and summarise sales by product, day and payment method.
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 · Retail, E-commerce & Consumer Goods
E-commerce sales analysis
Load an Indian online-retail dataset into a database and answer business questions 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 · Retail, E-commerce & Consumer Goods
Festival sale A/B test
Test whether a festival-sale offer really lifted sales, with hypothesis tests and clear charts.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Retail, E-commerce & Consumer Goods
Customer value predictor
Predict how much each customer will spend in the next six months from their order history.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Retail, E-commerce & Consumer Goods
Product return predictor
Predict which orders will be returned, handle the imbalance and explain the main reasons with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Retail, E-commerce & Consumer Goods
Fashion image search
Train an image model that tags clothing by type and colour and finds similar products in a catalogue.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Retail, E-commerce & Consumer Goods
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 · Retail, E-commerce & Consumer Goods
Store demand forecast
Forecast daily sales for each store and product, including Diwali and other festival effects.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Retail, E-commerce & Consumer Goods
Shopping assistant
Build a RAG assistant over a product catalogue that recommends products and answers questions about them.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Retail, E-commerce & Consumer Goods
Customer service agent
Create an agent that answers order-status and returns questions, follows the returns policy and hands over to a human.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Retail, E-commerce & Consumer Goods
Recommendation service
Deploy a product recommendation API with caching, tests and monitoring of click-through.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Retail, E-commerce & Consumer Goods
Retail capstone
Solve a real retail, e-commerce or consumer-goods 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. |
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| 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. |