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 ExxonMobil
13,657 already enrolled
Gain insight into a topic and learn the fundamentals.
318 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
- Convolutional Neural Networks
- Emergency Response
- Exploratory Data Analysis
- Computer Vision
- Artificial Intelligence
- Text Mining
- Geospatial Mapping
- Artificial Neural Networks
- Disaster Recovery
- Data Ethics
- Mitigation
- Data Preprocessing
- Image Analysis
- Spatial Data Analysis
- Model Evaluation
- Natural Language Processing
- Skills section collapsed. Showing 8 of 16 skills.
Details to know
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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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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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Showing 3 of 318
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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