DeepLearning.AI - AI and Disaster Management
- Offered byCoursera
AI and Disaster Management at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
AI and Disaster Management at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Coursera Labs Includes hands on learning projects. Learn more about Coursera Labs External Link
- Course 3 of 3 in the AI for Good Specialization
- Beginner Level
- Approx. 11 hours to complete
- English Subtitles: English
AI and Disaster Management at Coursera Course details
- In Course 3, AI for Disaster Response, you will begin by learning how natural disasters create both short and long-term impacts on the economy, environment, and community. You will then learn how to mitigate some impacts using a framework for planning, designing, and implementing AI for Good projects.
- You will get hands-on experience through a pair of case studies. The first focuses on the catastrophic 2010 earthquake in Haiti. You will use natural language processing (NLP) to compare requests for aid that victims made shortly after the earthquake with those that they made several months later. The second case study looks at Hurricane Harvey, which devastated parts of the Caribbean, Mexico, and the southern United States in 2017. You will use computer vision to identify hurricane damage from satellite imagery.
- This course is part of the AI for Good Specialization, which demonstrates how AI is being harnessed to tackle some of the world's biggest challenges and provides a framework for you to be part of the solution.
- This is a beginner-friendly course. Learners should know high school-level math and basic spreadsheet operations. It is recommended that learners first complete Course 1 and Course 2.
AI and Disaster Management at Coursera Curriculum
Introduction to AI and Disaster Management
Welcome to AI and Disaster Management
What is a Disaster?
The Disaster Management Cycle
Cyclones Idai & Kenneth
Cyclones Idai & Kenneth - Response and Recovery
Cyclones Idai & Kenneth - Mitigation and Preparation
AI and Disaster Management
Helping Communities Help Themselves
Working Toward Impactful Solutions
Data Privacy and Related Risks
Getting Involved and Doing no Harm
Week 1 Summary
Week 1 Resources
Disaster Management and Ethical Practices
Satellite Imagery to Detect Disaster Locations
Welcome to Week 2
AI for Good Framework
Damage Assessment - Explore Phase
Damage Assessment - Explore the Data
Damage Assessment - Explore Phase Checkpoint
Damage Assessment - Design Phase
Damage Assessment - Design Phase Checkpoint
Damage Assessment - Implement Phase
Damage Assessment - Project Wrap Up
Week 2 Summary
Shahrzad Gholami - Damage Assessment with Satellite Imagery
Week 2 Resources
Damage Assessment for Disaster Response and Recovery
Analyzing Text Data to Gain Insights
Welcome to Week 3
Haiti Earthquake 2010
Topic Modeling - Explore Phase
Topic Modeling - Explore the Data
Topic Modeling - Visualize the Data
Topic Modeling - Explore Phase Checkpoint
Processing Text Data
Topic Modeling - Process Text Messages
Topic Modeling - Latent Dirichlet Allocation (LDA)
Topic Modeling - Project Wrap Up
Week 3 and Course Summary
Week 3 Resources
Text Analysis for Disaster Mitigation and Preparation