Where the world comes to learn AI

July 8-17, 2024

Applications are now closed

Thank you to our sponsors

Telus, RBC, GPTZero, MDA Space, National Research Council Canada, Natural Resources Canada, OPG, Osler, Radical Ventures, Roche, TD
Telus, RBC, GPTZero, MDA Space, National Research Council Canada, Natural Resources Canada, OPG, Osler, Radical Ventures, Roche, TD

2024: Celebrating 20 years of training the world’s best emerging talent

Presented by CIFAR and the Vector Institute in collaboration with Amii and Mila.

CIFAR, Vector Institute, amii, Mila

Each year, the CIFAR Deep Learning + Reinforcement Learning (DLRL) Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning.

DLRL 2024 will be the 20th anniversary of this world-renowned training opportunity, with more than 2,500 of the world’s top talent in machine learning and AI as alumni.

Co-hosted by CIFAR and the Vector Institute, the prestigious training opportunity will be held this year in Toronto, Ontario, Canada — a rich, globally-renowned ecosystem of AI innovation.

2X the length => exponential learning gains
Last year’s trainees told us they wanted the school to last longer, and we listened: this year’s DLRL will span 10 days (twice the duration of last year), featuring even more learning and networking opportunities.

Over the course of 10 intensive days, participants will learn from Canada CIFAR AI Chairs and other globally-renowned experts across industry and academia. They will join talks about cutting-edge topics in machine learning, and gain access to networking sessions, social events, and a dynamic career fair.

Vector Institute / Institut Vecteur

Advancing Canadian AI research and application to fuel economic growth

Since 2017, the Vector Institute has grown from a small group of founding faculty to a thriving community of over 700 researchers who are responsibly advancing deep learning and machine learning more broadly to make a positive impact on the lives of Canadians.


“The #DLRL Summer School is a place of learning at the highest scientific level in world-changing research areas but also an opportunity for networking, creating connections which can stay for life and fuel future collaborations.”

Yoshua Bengio

Canada CIFAR AI Chair, Mila | Co-Director, CIFAR Learning in Machines & Brains Program |
Scientific Director, IVADO | Scientific Director, Mila | Professor, Université de Montréal
Kimberly Nestor

“Attending DLRL 2023 was such an enriching summer school experience! I had a great time academically and it allowed me to expand my knowledge about the field. I made lifelong friends and connections, while learning about potential internships and postdoctoral opportunities.”

Kimberly Nestor

Kyunghyun Cho

“I attended DLRL early in my career. The lectures were amazing and provided an opportunity to have close interaction among the participants, and it was at that point that I decided I wanted to continue to do research full time in the area of deep learning.”

Kyunghyun Cho

Associate Professor, New York University; Fellow in the CIFAR
Learning in Machines & Brains program, CIFAR Azrieli Global Scholar 2017-2019
D'jeff Kanda Nkashama

“What struck me the most was the commitment of the DLRL summer school organizers to foster inclusive AI. As a member of a minority visible group, I was fortunate to receive the CIFAR Inclusive AI scholarship that enabled me to participate fully in this enriching program. Throughout the summer school, I delved into various aspects of machine learning, spanning optimization, computer vision, natural language processing, as well as ethical AI and AI safety. The breadth and depth of knowledge covered were truly impressive.”

D'jeff Kanda Nkashama

Alona Fyshe

“[The #DLRL] is a wonderful opportunity to bring the AI leaders of tomorrow together for a fun and immersive learning experience. It’s also a great way to showcase the depth of AI knowledge and expertise that exists in Canada.”

Alona Fyshe

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Amii, University of Alberta
CIFAR Azrieli Global Scholar 2016-2018