Machine Learning (ML) and Artificial Intelligence (AI) in Production

Motivation

AI offers the potential to increase product quality and process efficiency, while decreasing scrap rates and machine downtimes. However, companies often lack the know-how to identify suitable AI use cases for their own company, the methodological knowledge to carry out AI projects and how to structure a team for AI projects. Often there is also a lack of experience in dealing with possible problems during implementation and how to deploy a final model.

Description

Within seven modules, the most relevant phases and principles for applying ML and AI in production are presented. In every step, a comprehensive methodological overview and hurdles to be overcome within an AI implementation are presented. The theoretical sessions are further accompanied by practical exercises through hands-on programming modules, in which the participants are implementing ML models.

Goals

Enable you as a company to identify suitable AI use cases for your company, successfully implement AI projects, successfully deploy and certify AI systems into production and gain programming experience for ML implementation.