• 6 hours
  • Easy

Free online content available in this course.



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Last updated on 2/29/24

Course introduction

Banner that reads: Step into the world of artificial intelligence.

Welcome to this course!

Let me ask you a question: when was the last time you heard the term "artificial intelligence" or "AI"? Perhaps it was this morning on the radio? Yesterday, in the news? Last week, on your favorite podcast?

I don't know about you, but I seem to be hearing about artificial intelligence everywhere I go! It's certainly exciting, but with so much information out there, it can feel a little overwhelming too, don't you think?

What does AI really mean? How does it affect my life? What are its advantages and risks?  

Have you asked yourself these questions too? Well, look no further! This course will cover the basics of artificial intelligence. In Part 1, you will get a sense of what AI really is (and what it's not!). In Part 2, you will explore the impact of artificial intelligence on the workplace and on society as a whole. Finally, in Part 3, you will go behind the scenes of an artificial intelligence project and get familiar with concepts like deep learning and machine learning.

Along the way, you will be hearing directly from some of the most influential leaders in AI today. They will be answering questions about where AI is today and where it's going in the future.

Ready to learn more? Then let's go!

This course was developed in partnership with the Institut Montaigne and Fondation Abeona with the support of:

AFD, AWS, Hub France IA, Ingenico, L’Oréal, La Poste, Michelin, PwC, Orange, Sanofi, and Systemis.

CIFAR logo

In Canada, this course is being shared by CIFAR as an outcome of national public consultations by the Public Awareness Working Group, Canada's Advisory Council on Artificial Intelligence.

Meet the Authors!

Anna is the co-author of this course. She is a mathematician and CEO of Maathics, a collective of researchers working towards an ethical AI. Anna and her team created a tool that detects bias and discrimination in artificial intelligence algorithms. Anna is a TedX speaker and advocate for diversity in tech.

Benjamin is the co-author of the course. He is a data science and AI consultant, helping clients to make better use of their data and solve complex business problems using AI. Passionate about education, Benjamin has contributed to the development of multiple online courses.

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Table of contents

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