Engineering of Machine Learning systems

This a one day introductory course for those
wanting to create machine learning pipelines and to use
machine learning operations (MLOps) practices to
automate the machine learning lifecycle. MLOps aims to ensure
that ML models are reliable, scalable, and can be deployed
efficiently.

The prerequisites of the course are the knowledge of basic machine
learning and programming skills to complete the tutorials session
of the course.

The main learning goals are to get basic understanding of the
MLOps best practices and how to use them to implement automated
machine learning pipelines.

The course is one day intensive course on 3.12 and will start
at 9:00 and end at 16:00. It will be split into 50% lectures
and 50% hands-on tutorials.