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.
Energy, Power & Utilities: AI forecasts electricity demand and solar output, detects power theft and keeps grids and plants running safely.
Free courses and datasets for Energy, Power & Utilities →Month by month
Every month ends with an end-to-end project you can show employers, from Energy, Power & Utilities.
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 · Energy, Power & Utilities
Smart meter reader
Read smart meter data, calculate daily use for each home and find missing or suspicious readings.
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 · Energy, Power & Utilities
Power supply analysis
Load Grid-India daily reports into a database and compare demand, supply and shortages across states.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Energy, Power & Utilities
Solar plant performance
Study how sunlight, temperature and dust affect a solar plant's output with statistics and charts.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Energy, Power & Utilities
Solar output predictor
Predict a solar plant's output from weather data 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 · Energy, Power & Utilities
Power theft detection
Find the few meters with likely power theft among thousands, handle the imbalance and explain each case with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Energy, Power & Utilities
Solar panel fault detection
Train an image model that spots cracked, dirty or overheating solar panels in photos and thermal images.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Energy, Power & Utilities
Consumer complaint classifier
Classify electricity consumers' complaints (outage, billing, meter, new connection) in English and Telugu.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Energy, Power & Utilities
Electricity demand forecast
Forecast daily state electricity demand, including weather and festival effects, and beat a simple baseline.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Energy, Power & Utilities
Energy schemes assistant
Build a RAG assistant over official rooftop-solar and energy-saving scheme documents that answers with sources.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Energy, Power & Utilities
Home energy advisor agent
Create an agent that reads electricity bills, suggests savings and estimates the payback of rooftop solar.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Energy, Power & Utilities
Daily forecast pipeline
Run the demand forecast automatically every day, with data checks, a dashboard and alerts when accuracy drops.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Energy, Power & Utilities
Energy capstone
Solve a real power, renewable-energy or utility 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. |