Want to learn
more about
artificial intelligence? 
Curious about AI ethics?


We have gathered resources for both technical and non-technical backgrounds across all realms of artificial intelligence including ethics, data privacy, and misinformation to learning how to machine learning can be applied to various industries. Our goal is to ensure that all individuals have access to learning about artificial intelligence regardless of gender, educational background, and geography.

For 2021, we will be highlighting resources on AI Literacy, AI Ethics and Governance, and info on Knowing your Rights when it comes to data usage and privacy concerns.

AI Literacy

Curious about AI? Want to learn more about the field? Check out or resources for AI Literacy or join one of our crash course workshops if you're new to the world of AI. All are welcome! No technical background is required.

AI Ethics & Governance

How does AI make decisions? Who is responsible for the decisions AI makes? How are policy makers learning about AI to make informed governance decisions? These questions are answered with this resource library.

Know your Rights

Want to know more about how your data is used? Explore our resources on data privacy and consumer rights. We as young people believe it's imperative to know and have a say on how your data is used.

Check out our favourite resources


AI for Everyone: Andrew  Ng's AI course for Non-technical backgrounds
Fast.ai: Practical Deep Learning for Coders. This web site covers  the book and the 2020 version of the course, which are designed to work  closely together. If you haven't yet got the book, you can buy it here. It's  also freely available as interactive Jupyter Notebooks;
Practical Data  Ethics: Course  contains essential knowledge for anyone working in data science or impacted  by technology. The course focus is on topics that are both urgent and  practical, causing real harm right now.
Elements of  AI: The  Elements of AI is a series of free online courses created by Reaktor and the  University of Helsinki. 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.
Artificial Intelligence A-Z : Combine  the power of Data Science, Machine Learning and Deep Learning to create  powerful AI for Real-World applications.
Data Science and Deep Learning with Python: Complete  hands-on machine learning tutorial with data science, Tensorflow, artificial  intelligence, and neural networks
NYU  Deep Learning: This  course concerns the latest techniques in deep learning and representation  learning, focusing on supervised and unsupervised deep learning, embedding  methods, metric learning, convolutional and recurrent nets, with applications  to computer vision, natural language understanding, and speech recognition.
Machine  Learning A-Z: Hands-on  Python course on Udemy, taught by Kirill Eremenko
Natural Language Processing (NLP) : Natural  Language Processing (NLP) is the science of teaching machines how to  interpret text and extract information from it. This program covers basics of  Python, Machine Learning & NLP. It includes 17+ projects to prepare you  for industry roles
Intro to Machine Learning: Enhance  your skill set and boost your hirability through innovative, independent  learning.