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DeepLearning.AI - AI and Disaster Management 

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AI and Disaster Management
 at 
Coursera 
Overview

Duration

11 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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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
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AI and Disaster Management
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • 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.
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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

AI and Disaster Management
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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