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
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AI and Disaster Management
This course is part of AI for Good Specialization
Instructor: Robert Monarch
14,019 already enrolled
Gain insight into a topic and learn the fundamentals.
321 reviews
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
98%
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Assessments
3 assignments
Taught in English
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This course is part of the AI for Good Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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University of Pittsburgh
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RK
Reviewed on Nov 15, 2023
Practical insight into real-world application of tokenization and ML methods. And also a real examples of application of do-no-harm principles.
CP
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.
JP
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.
