In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, preparation, response, and recovery. You’ll work through two case studies in this course. In the first, you will use computer vision to analyze satellite imagery from Hurricane Harvey in 2017 to identify damage in affected areas. In the second, you will use natural language processing techniques to explore trends in aid requests in the aftermath of the 2010 earthquake in Haiti.
AI and Disaster Management

AI and Disaster Management
This course is part of AI for Good Specialization

Instructor: Robert Monarch
Access provided by Cambia Health Solutions
13,682 already enrolled
318 reviews
Recommended experience
Skills you'll gain
- Spatial Data Analysis
- Geospatial Mapping
- Data Ethics
- Computer Vision
- Artificial Neural Networks
- Exploratory Data Analysis
- Model Evaluation
- Emergency Response
- Data Preprocessing
- Artificial Intelligence
- Image Analysis
- Natural Language Processing
- Disaster Recovery
- Text Mining
- Mitigation
- Convolutional Neural Networks
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There are 3 modules in this course
What's included
13 videos4 readings1 assignment
What's included
11 videos3 readings1 assignment3 ungraded labs
What's included
12 videos3 readings1 assignment3 ungraded labs
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Reviewed on Dec 8, 2024
Great lectures, very insighful; I enjoyed the labs, and the structured framework for approaching the projects. The whole specialization is worthwhile!
Reviewed on Dec 7, 2025
This is one of the best courses I have ever taken that deals with practical problems for which AI can be applied. I can't say enough for how well the instructor presents the materials.
Reviewed on Oct 23, 2023
Very informative walk-through some of the basics of Disaster Management and some of the AI techniques that are used. Labs are set up well to get an initial feel for applications. Great presentation.
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