Timo Leitritz, Fraunhofer Institute for Manufacturing Engineering and Automation Training new users at a production machine is a time intensive and expensive task. In this talk we want to discuss the possibilities in leveraging AI technologies in computer vision, machine analysis and language to create a system that assists users in learning and executing machine operation. The focus lies on user centered human machine interaction and a flexible way to fit the system to new scenarios and machines as well as different user seniorities. There are unique challenges that we will outline and additionally present our own experiences from previous projects.sequences of activities that represent a task and text generation models to generate a human understandable step-by-step guideline for inexperienced users. This guideline can then be played back to this user accordingly. SLEM learns by watching an experienced user working on the machine. This combined approach is designed to be adaptable to a variety of different machines for multiple tasks like