Empower your learning journey: dive into our digital trainings!
Discover EIT Manufacturing Academy’s comprehensive collection of digital trainings, covering a wide range of manufacturing topics and learning objectives. Tailor your learning experience with filters that match your specific interests and needs. Benefit from the flexibility of online learning, allowing you to enhance your skills on your own schedule, wherever you are.
Theoretical framework for Digital Twin modelling, optimization and control
This nugget delves into the theoretical framework of Digital Twins, highlighting the significance of integrating real-time data for accurate modeling, optimization, and autonomous control of physical assets. Utilizing data-driven optimization and machine learning techniques enhances Digital Twins' predictive abilities, ensuring adaptability to changing conditions and heightened accuracy in forecasting the behavior of physical assets.
Detecting dataset and prediction shifts for machine learning models
This nugget will guide the learner through different metrics for the detection of dataset shifts
Dataset shifts for prediction performance degradation in machine learning
Conceptualization of dataset shift in machine learning performance degradation
The concept of digital twin technology and its benefits in the manufacturing industry for sustainability
This learning nugget introduces the concept of Digital Twin technology and its transformative impact on the manufacturing industry. Participants will explore the benefits of Digital Twins in optimizing operations, reducing environmental impact, and achieving sustainability goals.
Wire Arc Additive Manufacturing (WAAM) Technology as an enabler for Raw Materials Saving
This nugget refers to AM as a critical raw materials saving enabler. After explanation of the basic concepts an application use case is presented.
Green Innovation and Firm Performance
Throughout this learning module, we'll try to answer some basic questions: “Does it pay to be green?”, “What are the drivers and barriers to green innovation?”, "Are environmental and economic performance linked?".
Post Processing for Polymer in Additive Manufacturing (AM)
This nugget will guide you through an overview of the main post-processes in polymer printed parts, then explaining post-processing methods applied and the way to avoid post-processing.
Methodology to develop a DPT
Explore the art of transforming raw manufacturing data into actionable insights through effective visualization.