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
This course is part of AI for Good Specialization

Instructor: Robert Monarch
Access provided by InZone - Université de Genève
10,679 already enrolled
(213 reviews)
Recommended experience
Skills you'll gain
Details to know

Add to your LinkedIn profile
3 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Why people choose Coursera for their career




Learner reviews
213 reviews
- 5 stars
77.93%
- 4 stars
18.30%
- 3 stars
1.40%
- 2 stars
0.93%
- 1 star
1.40%
Showing 3 of 213
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.
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 Aug 14, 2023
Great course with very interesting and thought-provoking content. Beginner friendly and excellent code-walkthrough! I can highly recommend the whole 'AI for Good' series.
Explore more from Data Science
University of Pittsburgh
Coursera Instructor Network
Yonsei University
The State University of New York