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.
Certificate Available ✔
Get Started / More Info
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.
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.
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.
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.
Machine Learning Engineering for Production (MLOps) Specialization equips you with the skills to design, deploy, and maintain production-ready machine learning systems,...
Learn the fundamentals of Computer Vision using OpenCV and Python in this 1-hour hands-on project. Gain practical skills in image processing and manipulation.
Learn how Google implements machine learning in Spanish with the How Google does Machine Learning en Español course.
Learn to perform regression tasks using decision tree and PCA basics in this 1-hour project-based course.