The Master’s Programme contents is designed around the three phases of the MLOps lifecycle. MLOps is a set of practices aimed to the development, deployment and maintenance of machine learning models.
The three phases of MLOps are each subdivided into a number of topics that cover the technical (AI/ML), ethical and practical elements of that part of the MLOps lifecycle: modelling (the exploration of the data and the design of the AI/ML models), deployment (taking AI/ML models into production and connecting to existing systems), and evaluation (maintenance of a AI/ML model in production).
This covers the core of the Human-centered AI master, common to all universities. Each university has its own order of presenting these topics, but all of them cover these materials. Moreover, each university has the opportunity to extends upon this common core; please check the individual programme pages to see the differences between the programme’s.