A Hands-On Workshop on Forecasting Air Pollution and Assessing Its Health Consequences Using Machine Learning
“ML Models for Air Quality Prediction and Health Impact” is a 3-days practical workshop that teaches how to build, evaluate, and deploy machine learning models to forecast air pollution and assess exposure-related health outcomes such as respiratory and cardiovascular risks.
Participants will explore data preprocessing, feature engineering, time series modeling, deep learning approaches, and health risk estimation frameworks. Case studies from urban monitoring systems, satellite data sources, and health impact databases will be integrated for hands-on experience.
To train participants in designing and applying machine learning (ML) models for predicting air quality levels and quantifying their health impact, supporting policy, urban planning, and early intervention strategies.
Module 1: Foundations of Air Quality & Data Acquisition
Module 2: Machine Learning for Air Quality Forecasting
Module 3: Health Impact Estimation & Deployment
₹2,499
$50
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
365 days from your registration, on your NanoSchool dashboard.
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
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