Thank you for your interest. Registration for the 2021 DLRL Summer School is now closed. Please refer to the schedule below for notice of updates. The DLRL Summer School will be hosted virtually by CIFAR, in partnership with Amii (Edmonton), Mila (Montreal) and the Vector Institute (Toronto).

Registration for the DLRL Summer School is $75 CAD and must be paid within 30 days of acceptance.

Important Dates

April 9, 2021 test Deadline to apply for 2021 DLRL Summer School
May 14, 2021 Notice of acceptance and invitation to register
June 18, 2021 Last date to register
July 26-31, 2021 2021 DLRL Summer school in session


The DLRL Summer School uses a scoring system to select the majority of participants. Applicants with a higher score have a higher probability of being accepted. The scoring system favours applicants who are graduate students that have not attended the DLRL Summer School in the past and whose research areas are closer to the scope of the summer school. Additional consideration is given to applicants who identify as a member of an under-represented group.

Please note:

  • Trainees who applied for the 2020 DLRL Summer School will be required to reapply for the 2021 virtual school.
  • The DLRL Summer School sessions will take place in English only.

Who Should Apply?

Graduate students, postdocs, and early-career researchers in quantitative disciplines, who have some knowledge of machine learning, deep learning, and reinforcement learning. We welcome students from all around the world, with a focus on inclusion of those who identify as members of underrepresented groups in AI.


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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, Co-Director of the CIFAR Learning in Machines & Brains;
Scientific Director at Mila
Elissa Strome, Associate Vice-President, Research & Executive Director of the Pan-Canadian AI Strategy at CIFAR

“The Summer School has become a beacon for top AI students and experts from around the world. We’re excited to showcase what makes Canada a global leader in the field of AI.”

Elissa Strome

Executive Director,
Pan-Canadian AI Strategy at CIFAR

“The DLRL Summer School is an unparalleled opportunity for these young people to both learn from, and network with, the scientists who can help them launch their careers in AI.”

Blake Richards

Canada CIFAR AI Chair; Mila;
Fellow in the CIFAR Learning in Machines & Brains program

“Beyond the learning and networking opportunities, [the #DLRL Summer School] showcases the rich AI ecosystem we enjoy in Canada. It's been a major factor in encouraging some of the brightest minds to launch their research careers here.”

Graham Taylor

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Vector Institute, University of Guelph
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