Learn about the role of artificial intelligence in tackling complex challenges. Develop skills that combine human and machine intelligence for positive real-world impact using AI.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
The AI for the Common Good specialization shows how artificial intelligence can be part of the solution in tackling some of the world’s greatest challenges, in areas such as public health, climate change, and disaster management.
In these courses, you will learn from instructor Robert Monarch, who has over 20 years of experience developing AI-based products in industry and working at the intersection of artificial intelligence, public health, and disaster management. Robert is also the author of Machine Learning with Humans in the Circle, a book focused on human-centric applications of AI.
Through the courses, you will hear from experts working on AI for the common good initiatives that aim to tackle social and environmental problems. By combining human intelligence with real-world data, data privacy best practices, and ethical considerations, you will develop the foundational knowledge and skills needed to develop your own AI for the common good projects.
The courses were built in collaboration with researchers at Microsoft’s AI for the Public Good Lab who offered their expertise during the program’s development. We also thank Sasha Lucioni, Research Activist at HuggingFace, for her help in designing the high-level structure of the program.
Duration: 8 hours
Rating: 4.8 (172 ratings)
What you’ll learn: In this course, you’ll learn the basics of artificial intelligence and machine learning and their application in practical situations in the field of AI for Good. The course concludes with a case study where you’ll have the opportunity to create an application to monitor air quality in the city of Bogotá, Colombia.
Duration: 14 hours
Rating: 4.8 (83 ratings)
What you’ll learn: In this course, you’ll begin with an overview of the mechanisms behind human-induced climate change and its impact on global temperatures and weather patterns. You’ll work through two case studies, one in which you’ll use time series analysis to forecast wind energy and another in which you’ll use computer vision to track biodiversity.
Duration: 11 hours
Rating: 4.8 (63 ratings)
What you will learn: In this course, you will learn about the four phases of the disaster management cycle; mitigation, preparation, response, and recovery. You will go through two case studies in this course, one with computer vision to analyze satellite imagery from Hurricane Harvey and the other with natural language processing to study trends in aid requests after the Haiti earthquake.
