AI and Disaster Management
Learn to apply AI techniques for disaster response, using computer vision and NLP for damage assessment.
Learn to apply AI techniques for disaster response, using computer vision and NLP for damage assessment.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI for Good Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(69 ratings)
4,899 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Apply computer vision techniques to analyze disaster damage from satellite imagery
Use NLP for analyzing emergency aid requests and communication
Understand the four phases of disaster management cycle
Implement AI solutions for disaster response and recovery
Analyze data from real disaster scenarios
Develop privacy-aware disaster management solutions
Skills you'll gain
This course includes:
3.75 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course explores the application of artificial intelligence in disaster management across four key phases: mitigation, preparation, response, and recovery. Through practical case studies, students learn to analyze satellite imagery using computer vision for hurricane damage assessment and apply natural language processing to analyze emergency aid requests. The curriculum emphasizes responsible AI implementation, data privacy considerations, and effective disaster response strategies, combining theoretical knowledge with hands-on experience using real-world disaster data.
Introduction to AI and Disaster Management
Module 1 · 2 Hours to complete
Satellite Imagery to Detect Disaster Locations
Module 2 · 4 Hours to complete
Analyzing Text Data to Gain Insights
Module 3 · 4 Hours to complete
Fee Structure
Instructor
AI Pioneer Combines Human and Machine Intelligence to Address Global Challenges
Robert Monarch (Munro) is a distinguished AI expert and author who specializes in integrating human and machine intelligence for practical applications. With a Ph.D. from Stanford University and over 20 years of experience, he has contributed to AI development at major tech companies including Google, Amazon, Microsoft, and Apple. As the author of "Human-in-the-Loop Machine Learning," he provides foundational insights into combining human and machine intelligence effectively. His work spans critical applications in disaster response and public health worldwide, demonstrating AI's potential for social impact. Through his role at DeepLearning.AI, he develops courses that make complex AI concepts accessible to learners globally, while his entrepreneurial ventures in AI startups showcase his commitment to practical innovation. His approach emphasizes the importance of human oversight in machine learning systems, ensuring AI solutions remain both effective and ethically sound
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4.8 course rating
69 ratings
Frequently asked questions
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