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
14,088 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
Skills you'll gain
- AI literacy
- Model Training
- Unstructured Data
- Spatial Data Analysis
- Data Ethics
- Data Preprocessing
- Exploratory Data Analysis
- Applied Machine Learning
- Emergency Response
- Disaster Recovery
- Mitigation
- Natural Language Processing
- Model Evaluation
- Computer Vision
- Responsible AI
- Artificial Intelligence
- Image Analysis
- Text Mining
Details to know
Shareable certificate
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Assessments
3 assignments
Taught in English
98%
Most learners liked this course
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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
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There are 3 modules in this course
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Status: PreviewUniversity of Pittsburgh
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Status: FreeErasmus University Rotterdam
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Showing 3 of 321
MN
Reviewed on Dec 9, 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 16, 2023
Practical insight into real-world application of tokenization and ML methods. And also a real examples of application of do-no-harm principles.
FF
Reviewed on Jul 9, 2023
Great course. Excellent presentation and very motivational
