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
Ends soon! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now
AI and Disaster Management
This course is part of AI for Good Specialization
Instructor: Robert Monarch
14,003 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
98%
Most learners liked this course
Skills you'll gain
- Geospatial Information and Technology
- Applied Machine Learning
- Model Evaluation
- Exploratory Data Analysis
- Disaster Recovery
- Text Mining
- Unstructured Data
- Spatial Data Analysis
- Image Analysis
- Natural Language Processing
- Community Development
- Convolutional Neural Networks
- Data Ethics
- Computer Vision
- Artificial Intelligence
- Emergency Response
- Responsible AI
- Mitigation
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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
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
Instructor ratings
(79 ratings)Offered by
Explore more from Machine Learning
Status: Free Trial
Status: PreviewUniversity of Pittsburgh
Status: Preview
Status: FreeErasmus University Rotterdam
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
78.81%
- 4 stars
16.82%
- 3 stars
2.18%
- 2 stars
0.93%
- 1 star
1.24%
Showing 3 of 321
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.
FF
Reviewed on Jul 8, 2023
Great course. Excellent presentation and very motivational
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.
