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 Axe Finance
13,927 already enrolled
Gain insight into a topic and learn the fundamentals.
320 reviews
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
98%
Most learners liked this course
Skills you'll gain
- Unstructured Data
- Applied Machine Learning
- Exploratory Data Analysis
- Community Development
- Model Evaluation
- Disaster Recovery
- Natural Language Processing
- Responsible AI
- Image Analysis
- Mitigation
- Artificial Intelligence
- Data Ethics
- Emergency Response
- Geospatial Information and Technology
- Text Mining
- Spatial Data Analysis
- Computer Vision
- Convolutional Neural Networks
Details to know
Shareable certificate
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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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Showing 3 of 320
MN
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!
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.
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.
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