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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.
Manufacturing, Robotics & Industry 4.0: AI predicts machine breakdowns, inspects products with cameras, guides robots and keeps production lines efficient.
Free courses and datasets for Manufacturing, Robotics & Industry 4.0 →Month by month
Every month ends with an end-to-end project you can show employers, from Manufacturing, Robotics & Industry 4.0.
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 · Manufacturing, Robotics & Industry 4.0
Machine sensor log reader
Read machine sensor logs, calculate uptime and overall equipment effectiveness (OEE) for each shift.
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 · Manufacturing, Robotics & Industry 4.0
Production and downtime analysis
Load production, scrap and downtime records into a database and find the lines and causes losing the most time.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Manufacturing, Robotics & Industry 4.0
Process quality control
Build control charts for a production process and test whether a process change really improved the yield.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Manufacturing, Robotics & Industry 4.0
Part quality predictor
Predict whether a part will pass inspection from its machine settings with regression and classification models.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Manufacturing, Robotics & Industry 4.0
Predictive maintenance model
Predict machine failures from temperature, torque and tool-wear data, handle rare failures and explain them with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Manufacturing, Robotics & Industry 4.0
Surface defect detection
Train an image model on a public steel-surface dataset to find scratches, cracks and other defects.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Manufacturing, Robotics & Industry 4.0
Maintenance log analyser
Group technicians' maintenance notes to find the faults that keep coming back and their likely causes.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Manufacturing, Robotics & Industry 4.0
Spare parts forecast
Forecast demand for spare parts and production volumes so stores can order on time without overstocking.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Manufacturing, Robotics & Industry 4.0
Machine manual assistant
Build a RAG assistant over equipment manuals and SOPs that shop-floor technicians can ask in plain language.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Manufacturing, Robotics & Industry 4.0
Robot task planner agent
Create an agent that turns a typed instruction into safe pick-and-place steps for a robot arm in a simulator.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Manufacturing, Robotics & Industry 4.0
Defect model on the edge
Deploy the defect model to a Raspberry Pi or similar edge device next to the line, with monitoring.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Manufacturing, Robotics & Industry 4.0
Manufacturing capstone
Solve a real factory or robotics 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. |