Unleash your potential: join our trainings!
Explore EIT Manufacturing Academy’s extensive training catalogue, offering a diverse range of learning activities including digital modules, live sessions, blended training, and hands-on practice. Whether you prefer flexible online learning or interactive in-person experiences, browse our comprehensive list where featured selections are highlighted for your convenience. Discover your path to success with us today!
Identifying Circular Economy Opportunities
The concept of the circular economy and how it presents opportunities for businesses, entrepreneurs, and individuals.
Markets for corporate emission reductions: renewable energy and negative emissions
Markets for corporate emission reductions
How to Optimise Parts in Additive Manufacturing (AM)
Topology optimization (TO) is a shape optimization method that uses algorithmic models to optimize material layout within a user-defined space for a given set of loads, conditions, and constraints.
How to Apply Optical Tomography in Additive Manufacturing (AM) Process
This nugget will discuss the advantages of using optical tomography to analyze different materials used in additive manufacturing.
System integration using APIs
This nugget describes the following topics: What is an API?; Comparison of the two most popular kinds of API: REST API and Websocket API; How to create an API? ;Why is an API useful and how does it work?; Creation a REST API in Python
From Physics Based Modelling to Data Driven
This nugget discusses the shift from conventional physics-based modeling to data-driven strategies in analysis and modeling, emphasizing the evolution of digital twins and the integration of big data and machine learning. It underscores the necessity of comprehending the merits and drawbacks of both methods and their potential combined application, aiming to transform diverse fields and foster innovation.
Machine learning model maintenance after shift detection
In this nugget, we will study supervised and unsupervised methods to adjust a model after dataset shifts and prediction shifts occur.
The role of digital twins in achieving sustainable manufacturing processes, including resource optimization and waste reduction
The learning nugget explores digital twins and their role in achieving sustainability in manufacturing. Topics include real-time monitoring, predictive analytics, resource optimization, energy efficiency, waste reduction, and product lifecycle analysis. Interactive activities empower students to apply digital twins for environmental stewardship and resource conservation, inspiring a greener future.