This section brings you learning materials on AI as well as some updates on recent initiatives on AI Policy. These high quality courses are created by experts in their domains to bring you the most recent knowledge. 

Elements of ai

Created by Reaktor and the University of Helsinki, The goal is to demystify AI. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.


This online course is created by the University of Helsinki. The course is for anyone who is interested in the ethical aspects of AI – we want to encourage people to learn what AI ethics means, what can and can’t be done to develop AI in an ethically sustainable way, and how to start thinking about AI from an ethical point of view.


The AI Transparency Institute liaises with the Center for AI and Digital Policy to promote a better society, more fair, more just —
a world where technology promotes broad social inclusion based on fundamental rights, democratic institutions, and the rule of law.

DALL·E 2022-11-23 18.44.22 - synthwave of a robot playing piano

Deep Reinforcement Learning

Created by Hugging Face, this free online course is created to teach you about the fundamentals of Deep Reinforcement Learning, in both theory and practice. This course will also teach you to use famous Deep RL Libraries and you will be training agents in unique environments.

DALL·E 2022-11-23 18.43.44 - oil painting of a robot playing ball

Deep Learning

This online course on the Introduction to Deep Learning is created by MIT instructors Alexander Amini and Ava Soleimany. It teaches about Deep Learning methods with applications in diverse contexts.

DALL·E 2022-12-29 17.25.14 - furry squirril programming on a computer

Machine Learning Systems Design

This Stanford’s course (CS 329S) aims to provide an iterative framework for developing real-world machine learning systems that are deployable, reliable, and scalable.

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