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.
Automotive, EV & Aerospace: AI powers driver assistance, predicts EV battery health, plans maintenance and tests designs in simulation.
Free courses and datasets for Automotive, EV & Aerospace →Month by month
Every month ends with an end-to-end project you can show employers, from Automotive, EV & Aerospace.
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 · Automotive, EV & Aerospace
Vehicle trip analyser
Read vehicle trip logs and calculate distance, speed, idling and harsh-braking events for each driver.
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 · Automotive, EV & Aerospace
EV adoption analysis
Analyse vehicle registration data (VAHAN) by state and fuel type with SQL and show how EV adoption is growing.
Month 3 Statistics and data visualisation Beginner
Descriptive statistics, probability, sampling, hypothesis tests and A/B testing; charts with Matplotlib, Seaborn and Plotly.
Project · Automotive, EV & Aerospace
EV range study
Use statistics to test how temperature, speed and load affect an electric vehicle's range, with clear charts.
Month 4 Machine learning foundations Beginner
Supervised learning, regression and classification, train/test splits and cross-validation, scikit-learn pipelines.
Project · Automotive, EV & Aerospace
Used car price predictor
Predict used car prices from age, kilometres, brand and city 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 · Automotive, EV & Aerospace
Battery health model
Predict battery wear from charge-cycle data, compare ensemble models and explain what ages a battery with SHAP.
Month 6 Deep learning with PyTorch Advanced
Neural networks, training loops, CNNs for images, transfer learning, GPUs on Google Colab.
Project · Automotive, EV & Aerospace
Traffic sign detection
Train an image model that recognises Indian traffic signs, the first step of a driver-assistance system.
Month 7 Natural language processing Advanced
Text cleaning, embeddings, transformers and Hugging Face, fine-tuning for classification, multilingual models.
Project · Automotive, EV & Aerospace
Car review analyser
Find what owners praise and complain about in reviews of car and two-wheeler models, in English and Hindi.
Month 8 Time series and forecasting Advanced
Trends and seasonality, ARIMA and Prophet, gradient-boosted forecasts, evaluating forecasts over time.
Project · Automotive, EV & Aerospace
EV charging demand forecast
Forecast hourly demand at EV charging stations to decide where and when more chargers are needed.
Month 9 Large language models and RAG Expert
How LLMs work, prompting, embeddings and vector databases, retrieval-augmented generation, evaluating answers.
Project · Automotive, EV & Aerospace
Owner's manual assistant
Build a RAG assistant over owner's manuals and recall notices that answers drivers' questions 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 · Automotive, EV & Aerospace
Fleet maintenance agent
Create an agent that reads vehicle alerts, books a service slot and orders parts in a simulated fleet system.
Month 11 MLOps and deployment Expert
APIs with FastAPI, Docker, CI/CD, model registries, monitoring and data drift, cloud deployment basics.
Project · Automotive, EV & Aerospace
Driver scoring service
Deploy a driving-behaviour model for a fleet dashboard with an API, 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 · Automotive, EV & Aerospace
Mobility capstone
Solve a real automotive, EV or aerospace 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. |