Learning paths

Finding the right entry point into the digital twin

The e-learning modules offer learning scenarios for typical digital twin use cases, catering to varying levels of prior knowledge, roles, and learning objectives.
Following use-case-specific learning paths, beginners can, for instance, first familiarize themselves with fundamental concepts, operational principles, and the connections between actual manufacturing steps and their digital twin representations; meanwhile, experienced professionals and researchers can delve deeper into topics such as data integration, process analysis, or research data management. For decision-makers, the focus is on benefits, potential applications, and prerequisites, whereas technically oriented learners examine specific data flows and applications. Thus, the training program offers a needs-based approach, ranging from general overviews to in-depth technical expertise.

The learning paths address specific questions such as:

• Digital Twin in a Nutshell – What’s Behind It?
• From Machine Data to Added Value – How Can Production Data Be Put to Use?
• Making Decisions with the Digital Twin – Where Does the Business Value Lie?