Learn how to use AI to address real-world challenges.

In AI for Good, you’ll get experience using a framework for addressing complex problems, and better understand how to combine human and machine intelligence for positive real-world impact.

Be a part of the solution(s)

Learn a framework for contributing to AI-powered initiatives that create positive change. You'll hear from the experts driving AI initiatives that help mitigate climate change, support disaster response, and improve public health.

AI for Good is for everyone who wants to harness the power of human and artificial intelligence to address real-world challenges.

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

Be the first to know when the course is live!


What you’ll get from this course

  • Learn how AI is already making a positive impact on pressing social and environmental challenges
  • Use a step-by-step framework to contribute to AI for good initiatives across the globe
  • Get hands on with case studies and labs that make AI concepts easy to understand and practical to apply

What you’ll do in AI for Good

  • Hear directly from experts working on AI for good initiatives
  • Learn through case-studies and labs that use real-world data
  • Get familiar with how AI works, using Python and Jupyter notebooks to build your projects
  • No prior experience in AI or coding is necessary. This program is for learners with all types of backgrounds

Learn through real-world projects

Create an air quality monitoring application for the city of Bogotá, Colombia

Identify ways in which AI techniques used in the context of addressing climate change, and use the techniques

Understand and explain the mechanisms behind anthropogenic climatechange and the ways it is impacting global temperatures andweather patterns

Demonstrate the use of AI in addressing climate change, the types of AI approaches that can be used, and the factors to consider when using AI in climate initiatives

Use satellite imagery from Hurricane Harvey to work through the entire AI for good project pipeline in a disaster response scenario

Explore a real-world wind power forecasting problem using the AI for Good framework

In partnership with Microsoft’s AI for Good Lab

Microsoft Ai for good
DeepLearning.AI

We worked with Microsoft’s AI for Good Lab to create a groundbreaking course that brings AI for good training to everyone. The AI for Good Lab contributed key subject-matter experts who help us share the stories of research and development in the field, as well as ensuring the quality and integrity of our labs, data, and research. 

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 need to work on AI for Good initiatives.

Join the waitlist to pre-enroll this spring!


What Learners From Previous Courses Say About DeepLearning.AI

Nektarios Kalogridis

“Enrolling in the Machine Learning course was the most consequential decision I’ve ever made. When I was facing unemployment, I turned things around by combining deep learning and Wall Street data to materialize my start-up dream!”

Nektarios Kalogridis
Senior Algo Trading Developer, HSBC
Luo Yuzheng

“As a Behavioral Scientist, I was able to adopt methods to understand my customers better, overcome the traditional ‘one-size-fits-all’ approach, and design interventions which account for personality and individual differences.”

Luo Yuzheng
Assistant Director, Monetary Authority of Singapore
Chirag Godawat

“I gained confidence in my knowledge of machine learning. Since then, I’ve become a machine learning mentor, got a research paper published in IEEE, decided to pursue my Masters in Machine Learning, and was able to land a job at JP Morgan Chase.”

Chirag Godawat
Data Engineer, Vista
Hsin-Wen Chang

“The Machine Learning course became a guiding light. Andrew Ng explains concepts with simple visualizations and plots. I learned how to evaluate my training results and explain the outcomes to my colleagues, boss, and even the vice president of our company.”

Hsin-Wen Chang
Sr. C++ Developer, Zealogics
Nicholas Muchinguri

“The Machine Learning course helped develop my problem-solving skills, inspired an attitude of experimentation, and shaped a passion for machine learning. Since then, I have automated several investment processes and experimented with investment data.”

Nicholas Muchinguri
Senior Trader, Vanguard Australia
Aakash Saroop

“The Machine Learning course by Andrew Ng expanded my knowledge, so I could write a research paper on Facial Emotion Recognition and land an internship at Morgan Stanley.”

Aakash Saroop
Student, K. J. Somaiya College of Engineering
Shahid Mahmood

“In 2017, the Machine Learning course helped me gain a deep insight into Natural Language Processing and got me thinking about a new ML project with a friend. We built an ML app with a cloud instance to enhance recorded autobiographies with NLP-generated insights!”

Shahid Mahmood
CTO & Co-Founder, How I Remember It, Inc.
Chrysovalantis Constantinou

“I’m a Computational Scientist with a Ph. D. in theoretical nuclear phsyics. I was working on a research project that involved archeological datasets that eventually led to a publication. The foundations of machine learning from Andrew’s class were essential in making it happen.”

Chrysovalantis Constantinou
Computational Scientist, Cyprus Institute
Youness Boutaib

“Andrew’s teaching style helped me grasp foundational concepts. The newly acquired knowledge from the Machine Learning course helped me land a second postdoctoral position, run tutorials for two data science courses, and write my first machine learning paper!”

Youness Boutaib
Postdoctoral Researcher and Teaching assistant, RWTH Aachen University
Nektarios Kalogridis

“Enrolling in the Machine Learning course was the most consequential decision I’ve ever made. When I was facing unemployment, I turned things around by combining deep learning and Wall Street data to materialize my start-up dream!”

Nektarios Kalogridis
Senior Algo Trading Developer, HSBC
Luo Yuzheng

“As a Behavioral Scientist, I was able to adopt methods to understand my customers better, overcome the traditional ‘one-size-fits-all’ approach, and design interventions which account for personality and individual differences.”

Luo Yuzheng
Assistant Director, Monetary Authority of Singapore

Frequently asked questions

Engage! Join the waitlist and be the first to pre-enroll!