AI for Good
Offered By: DeepLearning.AI via Coursera
Course Description
Overview
The AI for Good Specialization showcases how AI can be part of the solution when it comes to addressing some of the world’s biggest challenges in areas like public health, climate change, and disaster management.
In these courses, you’ll learn from instructor Robert Monarch, who has over 20 years of experience building AI products in industry and working at the intersection of AI and public health and disaster management. Robert is also the author of Human-in-the-Loop Machine Learning, a book focused on human-centered AI applications.
Throughout the courses, you'll hear from experts working on AI for Good initiatives aimed at addressing social and environmental issues. By combining human and machine intelligence, real-world datasets, best practices around data privacy, and ethical considerations, you’ll develop the knowledge and fundamental skills to tackle your own AI for good projects.
These courses were built in partnership with researchers at the Microsoft AI for Good Lab who offered their subject matter expertise throughout the development of the program. We are also grateful to Sasha Luccioni, Climate Lead and Researcher at HuggingFace for her help in forming the high-level program structure, outlining what kinds of topics and case studies would work best for these courses, and recruiting many of the experts that either appear in guest speaker videos or have contributed behind the scenes.
Syllabus
Course 1: AI and Public Health
- Offered by DeepLearning.AI. In this course, you will be introduced to the basics of artificial intelligence and machine learning and how ... Enroll for free.
Course 2: AI and Climate Change
- Offered by DeepLearning.AI. In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact ... Enroll for free.
Course 3: AI and Disaster Management
- Offered by DeepLearning.AI. In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, ... Enroll for free.
- Offered by DeepLearning.AI. In this course, you will be introduced to the basics of artificial intelligence and machine learning and how ... Enroll for free.
Course 2: AI and Climate Change
- Offered by DeepLearning.AI. In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact ... Enroll for free.
Course 3: AI and Disaster Management
- Offered by DeepLearning.AI. In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, ... Enroll for free.
Courses
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In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space. You will also be introduced to a framework for problem solving where AI is part of the solution. The course concludes with a case study featuring three Jupyter notebook labs where you’ll create an air quality monitoring application for the city of Bogotá, Colombia.
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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.
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In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. You will work through two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. Both case studies are examples of where AI techniques can be part of the solution when it comes to the mitigation of and adaptation to climate change.
Taught by
Robert Monarch
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