AI for Good


The AI for Good Specialization showcases the role of AI in addressing global challenges such as public health, climate change, and disaster management. Led by instructor Robert Monarch, with over 20 years of industry experience, this program emphasizes the fusion of human and machine intelligence, ethical considerations, and real-world datasets for AI projects with positive social and environmental impact.

  • Master a step-by-step framework for AI project development.
  • Explore real-world case studies in public health, climate change, and disaster management.
  • Analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management.

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AI for Good
Course Modules

This specialization encompasses AI and Public Health, AI and Climate Change, and AI and Disaster Management. Gain insights and practical skills through real-world case studies and application of AI techniques in addressing global challenges.

AI and Public Health

In this course, you will be introduced to the basics of artificial intelligence and machine learning and their real-world application in the AI for Good space. Learn a problem-solving framework and work on a case study to create an air quality monitoring application for the city of Bogotá, Colombia.

AI and Climate Change

Explore the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. Work through case studies on wind power forecasting and biodiversity monitoring, demonstrating the role of AI in mitigating and adapting to climate change.

AI and Disaster Management

Discover the four phases of the disaster management cycle and delve into case studies using computer vision to analyze satellite imagery from Hurricane Harvey and natural language processing techniques to explore trends in aid requests after the 2010 earthquake in Haiti.

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