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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.
Logistics & Supply Chain: AI plans delivery routes, predicts delays, forecasts stock and runs smart warehouses.
Free courses and datasets for Logistics & Supply Chain →Month by month
Every month ends with an end-to-end project you can show employers, from Logistics & Supply Chain.
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 · Logistics & Supply Chain
Shipment log analyser
Read shipment logs and report delivery times and delays for each city and courier.
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 · Logistics & Supply Chain
Warehouse inventory analysis
Load inventory and order data into a database and find slow-moving items and frequent stock-outs with SQL.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Logistics & Supply Chain
Delivery delay study
Test with statistics whether delays depend on the courier, the distance or the weather, and chart the answer.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Logistics & Supply Chain
Delivery time predictor
Predict how long each delivery will take from distance, traffic, weather and order details.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Logistics & Supply Chain
Late delivery risk model
Predict which orders will be late, handle the imbalance and explain the main causes with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Logistics & Supply Chain
Parcel damage detection
Train an image model that spots damaged parcels in warehouse photos before they are shipped.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Logistics & Supply Chain
Delivery complaints analyser
Classify customers' delivery complaints and find the routes and hubs with the most problems.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Logistics & Supply Chain
Inventory forecast
Forecast weekly demand for each product and set reorder points that avoid both stock-outs and overstock.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Logistics & Supply Chain
Shipping rules assistant
Build a RAG assistant over GST e-way bill rules and courier policies that answers with the exact rule.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Logistics & Supply Chain
Route planning agent
Create an agent that plans delivery routes with an optimisation tool and re-plans when a delay is reported.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Logistics & Supply Chain
Delivery-time service
Deploy the delivery-time model as an API that a tracking page can call, with tests and monitoring.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Logistics & Supply Chain
Supply chain capstone
Solve a real logistics or supply-chain 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. |