Hosted in collaboration with Toronto Metropolitan University.
Toronto Metropolitan University is Canada's comprehensive innovation university, addressing real-world challenges to drive economic growth and improve quality of life for Canadians.
The work of our researchers in artificial intelligence covers areas that range from intelligent transportation systems to tools for health care applications. As the home of the Responsible Artificial Intelligence (RAI) training initiative, Toronto Metropolitan University is also creating a pipeline of highly qualified trainees who will be our future experts in AI ethics, privacy-enhanced analytics and accountability.
History of the Toronto Program.
The Toronto Program debuted in 2022 as the third regional location in our national expansion across Canada. The Toronto Program was made possible by the continued support of CIFAR.
CIFAR is a Canadian-based global research organization that convenes extraordinary minds to address the most important questions facing science and humanity. Since 2017, the CIFAR Pan-Canadian AI Strategy has been transforming AI research, training and innovation in Canada by building strong AI ecosystems and attracting, creating, and supporting talent across the nation.


Discover the AI Ecosystem in Ontario.
Find yourself at the epicenter of AI research and innovation in Toronto’s diverse and competitive landscape. The Toronto program welcomes 30 participants each year.
Different regions, one Lab.
Like different classes for the same course, the regional programs all offer the same core education, while at the same time showcasing the local identity of each vibrant AI community. Whether you join us from Toronto, Montreal, or Edmonton, the skills and network you gain at the Lab will kickstart your journey into AI.
Our program.
Our 7-week program (May 1 – June 20, 2023) is designed to prepare you with the necessary skills to build your own machine learning projects, from start to finish, while offering an unmatched opportunity for mentorship and career exploration.
Weeks 1 — 4 ML Bootcamp.
Weeks 5 — 7 Team Projects.
Is this program right for me?
Passion
You want to gain technical skills and hands-on experience in AI.
You want to build relationships with AI professionals.
You care about enhancing society through technology.
You value teamwork and diverse perspectives.
Eligibility
You are a woman+.
You have a valid status in Canada (citizen, resident, study or work permit).
You are registered at a post-secondary institution (Bachelor’s, Master’s, or college) or have recently graduated.
You are not a PhD student.
Qualifications
You have some experience programming in Python.
You have a strong background in at least one math subject: linear algebra calculus, statistics, probability.
No prior experience in machine learning necessary!
FAQ.
Other questions? Please email us at info@ai4goodlab.com
Learn from experts in the field.
Meet and work with AI leaders.
Maria Gini
CSE Distinguished Professor, Department of Computer
Science and Engineering, University of Minnesota

“Women continue to be underrepresented in computing science, which is an issue not just to individual women, but society-at-large. Diverse voices and perspectives are instrumental in building robust algorithms that provide benefits across all aspects of society.”
Elissa Strome
Executive Director, CIFAR Pan-Canadian AI Strategy