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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.
Electronics, Semiconductors & Telecom: AI tests and designs chips, runs IoT devices at the edge and keeps telecom networks fast and reliable.
Free courses and datasets for Electronics, Semiconductors & Telecom →Month by month
Every month ends with an end-to-end project you can show employers, from Electronics, Semiconductors & Telecom.
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 · Electronics, Semiconductors & Telecom
IoT sensor logger
Read temperature and humidity readings from a sensor or simulator, store them and summarise each day.
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 · Electronics, Semiconductors & Telecom
Telecom usage analysis
Analyse TRAI subscriber and data-usage reports with SQL and show how mobile data use has changed by state.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Electronics, Semiconductors & Telecom
Chip yield statistics
Compare manufacturing yield across production lots with hypothesis tests and find which steps lower the yield.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Electronics, Semiconductors & Telecom
Network quality predictor
Predict call drops and poor signal from mobile tower measurements with regression and classification.
Month 5 Feature engineering and model evaluation Advanced
Feature engineering, imbalanced data, ensembles (random forests, XGBoost, LightGBM), metrics, explainability with SHAP.
Project · Electronics, Semiconductors & Telecom
Telecom churn model
Predict which mobile customers will switch operator, compare ensemble models and explain the reasons with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Electronics, Semiconductors & Telecom
Wafer defect classifier
Train an image model on a public wafer-map dataset to recognise defect patterns in semiconductor wafers.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Electronics, Semiconductors & Telecom
Network fault ticket analyser
Classify network fault tickets and find the equipment and sites that cause the most trouble.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Electronics, Semiconductors & Telecom
Cell traffic forecast
Forecast data traffic for each mobile cell so the network can be expanded before it gets congested.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Electronics, Semiconductors & Telecom
Datasheet assistant
Build a RAG assistant over component datasheets that answers questions on pins, ratings and timing with citations.
Month 10 AI agents and tool use Expert
Function calling, multi-step agents, planning and memory, guardrails and evaluation of agent behaviour.
Project · Electronics, Semiconductors & Telecom
IoT operations agent
Create an agent that watches a fleet of IoT devices, diagnoses the ones that go offline and raises tickets.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Electronics, Semiconductors & Telecom
TinyML on a microcontroller
Shrink a small model and run it on an ESP32 or Raspberry Pi, measuring its speed, size and power use.
Month 12 Capstone and career preparation Expert
Scoping a real problem, project planning, portfolio, résumé and GitHub reviews, mock technical interviews.
Project · Electronics, Semiconductors & Telecom
Electronics capstone
Solve a real chip, device or telecom 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. |