ML Models for Air Quality Prediction and Health Impact
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Course Overview
Table of Contents
Workshop Registration End Date :08/14/2025
Program Syllabus
Module 1
About
“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.
Module 2
Aim
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
ML Models for Air Quality Prediction and Health Impact
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Workshop Objectives
- Enable data-driven policymaking for air quality management
- Equip professionals to link AI outputs to actionable health insights
- Support interdisciplinary collaboration between data science, environment, and health
- Drive awareness and advocacy through predictive intelligence tools
- Build capacity for integrating real-time environmental sensing and analytics
Module 4
Workshop Structure
Module 5
Day 1: Foundations of Air Quality & Data Acquisition
- Air Quality Indices (AQI, PM2.5, PM10, NO₂, O₃) and Health Guidelines
- Data Sources: OpenAQ, EPA, CPCB, WHO, Sentinel-5P
- Exploratory Data Analysis and Spatial-Temporal Trends
Module 6
Day 2: Machine Learning for Air Quality Forecasting
- Time Series Forecasting: Linear Regression, ARIMA, XGBoost, LSTM
- Spatiotemporal ML Models and Feature Engineering
- Model Evaluation (RMSE, MAE, R², Confusion Matrix)
- Tools: Python, Scikit-learn, Prophet, TensorFlow
Module 7
Day 3: Health Impact Estimation & Deployment
- Quantifying Short- and Long-Term Health Risks
- Exposure Mapping and Population Vulnerability
- Linking ML Outputs to Public Health Metrics (DALY, Mortality)
- Visualization & Dashboarding (Streamlit, Power BI, Dash)
Module 8
Intended For
- Environmental engineers and urban data analysts
- Health data scientists and epidemiologists
- AI/ML professionals working in climate and environment
- Government air quality officers and public health planners
- Graduate students and researchers in environmental health or data science
Module 9
Important Dates
Module 10
Registration Ends
08/14/2025
Indian Standard Timing 4 PM
Module 11
Workshop Dates
08/14/2025 to 08/16/2025
Indian Standard Timing 5 PM
Module 12
Workshop Outcomes
- Build predictive ML models for air quality and exposure forecasting
- Quantify and visualize public health impacts from pollution
- Analyze and interpret air quality datasets using AI tools
- Deploy dashboards and data products for public awareness
- Earn a certificate in “ML for Air Quality and Health Impact Prediction”
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional Fee
INR. 5999
USD. 90
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 20
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 21
Future Career Prospects
- Air Quality Data Scientist
- Environmental Health Risk Analyst
- Public Health ML Consultant
- Smart City Monitoring Specialist
- Sustainability & Climate Tech Developer
Module 22
Job Opportunities
- Pollution control boards and urban governance agencies
- Health-focused NGOs and climate-health policy think tanks
- Tech companies working on urban analytics or IoT
- Environmental research institutes and academic labs
- Smart city innovation hubs and AI-for-Good platforms
Module 25
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 26
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