Where the world comes to learn AI

July 21 – August 1, 2025

Applications are closed

2025: Two weeks of intensive training and networking

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

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.

Co-hosted by CIFAR and Amii, the prestigious training opportunity will be held this year in Edmonton, Alberta, Canada — a rich and diverse ecosystem of AI innovation.

Over the course of 12 intensive days, participants will learn from Canada CIFAR AI Chairs and other globally-renowned AI 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.

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CIFAR, amii, Vector Institute, Mila

Important Dates

March 18, 2025 Applications open for 2025 DLRL Summer School
April 15, 2025 Deadline to apply for 2025 DLRL Summer School
Week of May 5, 2025 Notice of acceptance and invitation to register
May 23, 2025 Last date to register
July 21 – August 1, 2025 2025 DLRL Summer school in session
amii

Amii (the Alberta Machine Intelligence Institute) is a world-leading AI institute dedicated to advancing AI for good.

For more than twenty years, Amii has served as a hub for AI research and commercialization innovation and real-world impact in Canada and around the world.

More about Amii

Thank you to our sponsors

Reliant; Telus
Reliant; Telus

Stay up to date on the DLRL Summer School

Subscribe to the DLRL Newsletter

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Subscribe to the AICan Bulletin

Need more info?

Contact info@dlrl.ca
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“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
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