AI and Automation in Environmental Hazard Detection
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Course Overview
Table of Contents
Workshop Registration End Date :07/03/2025
Program Syllabus
Module 1
About
This workshop explores how AI is transforming environmental risk monitoring by integrating remote sensing, IoT sensor networks, satellite imagery, and predictive analytics to enhance public safety and ecological resilience. Participants will gain hands-on experience with tools and platforms such as Google Earth Engine, YOLO/Deep Learning for image detection, scikit-learn for environmental datasets, and automated alert systems using Arduino/Raspberry Pi.
Module 2
Aim
To train participants in leveraging Artificial Intelligence (AI), Machine Learning (ML), and automation technologies for real-time detection, prediction, and mitigation of environmental hazards, from floods and wildfires to chemical leaks and air pollution.
Module 3
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
AI and Automation in Environmental Hazard Detection
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Workshop Objectives
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Introduce advanced AI and automation tools for environmental applications
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Bridge gaps between climate data, sensors, and AI models
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Promote interdisciplinary collaboration between tech and environmental fields
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Enable participants to contribute to climate adaptation and disaster preparedness
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Provide open-access tools and datasets for continued innovation
Module 4
Workshop Structure
Module 5
🔹 Environmental Hazards & AI’s Role
- Overview of hazards (pollution, natural disasters)
- AI’s transformative capabilities in detection & prediction
Module 6
🔹 AI & Machine Learning Fundamentals
- Key ML techniques for hazard analysis
- Data preprocessing & algorithm selection
Module 7
🔹 🛠️ Hands-On Lab: AI Tools for Hazard Detection
- Setting up AI environments
- Building basic predictive models
Module 8
🔹 Remote Sensing & AI for Monitoring
- Leveraging satellite/drone data + GIS integration
- AI-powered hazard tracking
Module 9
🔹 Deep Learning for Hazard Detection
- Optimizing CNNs & RNNs for environmental threats
- Model training & performance tuning
Module 10
🔹 🛠️ Hands-On Lab: Remote Sensing Data for Detection
- Processing real-world satellite imagery
- Training deep learning models
Module 11
🔹 AI & IoT for Real-Time Monitoring
- Sensor networks + AI for instant hazard alerts
- Edge computing for rapid response
Module 12
🔹 Automating Hazard Detection & Response
- AI-driven decision pipelines
- Case studies in wildfire/flood prediction
Module 13
🔹 🛠️ Hands-On Lab: Building a Real-Time System
- Developing an automated detection prototype
- Simulating emergency alert scenarios
Module 14
Intended For
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Environmental scientists and disaster management professionals
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Data scientists and engineers working in sustainability
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Urban planners, civil engineers, and remote sensing experts
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Government agency representatives and NGO workers
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UG/PG/PhD students in environmental science, AI, or geoinformatics
Module 15
Important Dates
Module 16
Registration Ends
07/03/2025
Indian Standard Timing 4 PM
Module 17
Workshop Dates
07/03/2025 to 07/05/2025
Indian Standard Timing 5:30 PM
Module 18
Workshop Outcomes
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Understand the role of AI in real-time environmental monitoring
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Apply ML models to real-world environmental datasets
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Build simple automated alert systems using IoT and AI
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Analyze satellite and sensor data for environmental insights
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Contribute to sustainable development and early warning innovations
Module 20
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 24
Industry Professional Fee
INR. 5999
USD. 90
List of Currencies
Module 25
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 26
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 27
Future Career Prospects
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AI for Earth/Environmental Researcher
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Disaster Risk Analyst using AI
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Environmental IoT System Developer
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Remote Sensing Data Scientist
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Smart City and Resilience Tech Advisor
Module 28
Job Opportunities
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Climate-tech startups and green technology firms
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Government departments (pollution control, meteorology, disaster management)
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UN and NGO environmental projects (UNEP, Red Cross, WRI)
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Geospatial and satellite data companies (ISRO, NASA, ESA, Planet Labs)
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Environmental consultancy and research labs
Module 31
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 32
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