The Machine Learning Operations Summer School (MLOPSS) is a one-week, intensive, international summer school
that
focus on machine learning operations (MLOps) and the more technical aspects of machine learning practice. We
have
started this summer school out of the realization that the academic enviroments have for too long placed too
little
value in the study of the practical side of ML, and we want to help rectifying this wrong.
The event will consist of a mixture of activities, both with a focus on learning and socializing. The core
learning
activities are lectures, practical exercises, a poster session and a hackaton (see program below). Students
can be
awarded 2.5 ECTS points for successfully participating in the event.
Alexey Grigorev
Principal Data scientist, OLX Group
Debora Caldarola
PhD student and Adjunct professor, Politecnico di Torino.
Petr Taborsky
Data science consultant, Technical University of Denmark
Valentin Plugaru
CTO, LuxProvide High-performance computing center
Tobias Slott Jensen
Machine Learning Engineer, Raffle.ai
Grant Van Horn
Research Engineer, Cornell
Cumhur Erkut
Associate Professor, Aalborg University
Morten Lantow
MLOps Lead, EY
Mikkel Baun Kjærgaard
Professor, University of Southern Denmark
The summer school takes place at
The conference is jointly organized by:
This summer school is funded by the Danish Data Science Academy and the Pioneer center for AI. Their support is greatly appreciated.