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
Sponsored by FutureX
8,295 already enrolled
(198 reviews)
Recommended experience
Skills you'll gain
- Data Analysis
- Emergency Response
- Artificial Intelligence and Machine Learning (AI/ML)
- Emergency Services
- Image Analysis
- Unstructured Data
- Natural Language Processing
- Business Continuity Planning
- Computer Science
- Data Ethics
- Contingency Planning
- Data Science
- Disaster Recovery
- Business Continuity
- Geospatial Information and Technology
- Public Safety and National Security
- Geospatial Mapping
- Geographic Information Systems
- Artificial Intelligence
- Text Mining
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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 Jul 8, 2023
Great course. Excellent presentation and very motivational
Reviewed on May 23, 2024
The course actually teaches a lot of techniques that are interesting to ALL future users of AI. It teaches the approach and the process of applying AI in a very understandable yet technical form.
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.
Recommended if you're interested in Data Science
University of Pittsburgh
Coursera Instructor Network
Yonsei University
The State University of New York
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