Learn AI's role in addressing complex challenges
Build skills combining human and machine intelligence for positive real-world impact using AI.
What you’ll get from this course
- Master a step-by-step framework for the development of AI projects.
- Analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management.
- Explore real-world case studies related to public health, climate change, and disaster management.
Learn through real-world projects
Develop an AI model to make wind power generation more predictable by providing forecasts 24 hours into the future.
Use neural networks and other AI techniques to estimate air quality throughout the city of Bogotá, Colombia.
Build an image classification pipeline to perform damage assessment using satellite images taken after Hurricane Harvey in the U.S. in 2017.
Use natural language processing techniques to analyze trends in a corpus of text messages sent in the aftermath of the 2010 earthquake in Haiti.
Apply computer vision techniques to detect and classify animals for the purpose of biodiversity monitoring.
Your Instructor
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.
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.
In partnership with Microsoft’s AI for Good Lab
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 live in a rapidly changing world and a world that is facing big challenges. Yet we have never been in a better position to use technology to help address these issues and positively influence the lives of millions on our planet as well as the planet itself.
Juan Lavista Ferres
VP Data Science, AI for Good Lab, Microsoft
Who should join?
The AI for Good Specialization is designed to be accessible for everyone. We recommend some experience working with data, and performing some basic analysis on your data using tools such as spreadsheets. Whether you’re a student, professional, or someone passionate about making a positive impact on society and the environment, this program provides the tools and knowledge you will need to work on AI for Good initiatives.
“While focused on humanitarian and environmental projects, people who take this specialization can expect to learn how to effectively develop any product that uses AI.”
– Robert Monarch, AI for Good Instructor
Skills you will gain
- AI for Good project framework
- Jupyter Notebooks
- Supervised Machine Learning
- Computer Vision
- Natural Language Processing
- Exploratory Data Analysis
- Time Series Analysis
- Air Quality Monitoring
- Biodiversity Monitoring
- Wind Power Generation Modeling
- Topic Modeling
- Damage Assessment
What Learners Are Saying
Syllabus
Course Slides:
You can download the annotated version of the course slides below.
