Microcredential in Intelligent Algorithms for Industrial Data

With an increasingly demanding global market, the digitalization of industrial processes is becoming essential for companies to maintain a competitive edge. These new challenges have profoundly impacted the industrial paradigm, creating a growing need for the acquisition, monitoring, and processing of data from various stages of the manufacturing cycle in a computationally sustainable and efficient manner. However, it is not uncommon for gaps in the management and interpretation of these large volumes of data to occur due to mathematical knowledge gaps, leading to an underutilization of resources. This microcredential aims to introduce basic mathematical concepts and best practices for the successful integration of data analysis techniques, as well as other intelligent algorithms, into industrial processes. The ultimate goal of the microcredential is to provide participants with a comprehensive understanding of the digital transformation of industry, focusing on the most relevant algorithms and their fundamental role in technologies such as Machine Learning, Internet of Things (IoT), and Digital Twins. The training program will be adapted to practical and real-world case studies based on the professional demands of the participants.

Bachelor's degree (related fields of mathematics, science, engineering, and technology. Alternatively, participants may present equivalent and proven professional experience)