Data Management and Digital Transformation in Industrial Process Automation (AI4CI)

Data management and digital transformation are key in the automation of industrial processes today. In an increasingly competitive and dynamic environment, organizations need to adopt advanced technologies to optimise their operations, improve decision making, and foster innovation. 

About this course

This course, “Data Management and Digital Transformation in Industrial Process Automation”, focuses on providing the tools and knowledge necessary to effectively manage the data generated in industrial processes, as well as to implement digital transformation strategies that drive efficiency and sustainability. Through case studies and cutting-edge studies, participants will learn how to integrate digital solutions that not only increase productivity, but also enable businesses to quickly adapt to market changes and new consumer demands. The relevance of this course lies in its ability to prepare professionals to face the challenges of Industry 4.0, thus fostering a smarter and more connected future.

This course is part of the AI4CI Master “Artificial Intelligence for Connected Industries”. AI4CI is a European master opened at the universities Conservatoire National des Arts et Métiers (CNAM), Paris, France; Cnam Grand Est (CGE), Mulhouse, France; National Technical University of Ukraine (NTUU), Kiev, Ukraine; University of Ulm, Ulm, Germany; University Babeș-Bolyai (UBB), Cluj-Napoca, Romania; Avignon University, France and Polytechnic University of Catalonia (UPC), Barcelona, Spain. The teachers include renowned academics from several European partners and industry experts.

Pedagogical objectives 

By the end of this course, you will be able to: 

• Explain the different layers that can coexist in IoT architectures in the industrial environment.
• Know the main existing hardware solutions for data capture.
• Know the main wireless communication technologies that can be found in the Industrial IoT.
• Know the possible functionalities offered by data integration platforms. 

Prerequisites 

• Academic training in fields related to engineering, industrial automation, computing, information technology or related disciplines.
• Basic knowledge of industrial automation principles and industrial processes may be required.
• Familiarity with concepts of data management, data analysis and digital transformation.
• Experience in the field of industrial automation or industrial data management may be beneficial. 

Target audience 

This course is designed for industrial automation professionals or students who want to learn on current possibilities and future trends in data management and digital transformation. 

Course topics 

1. Industry 4.0
2. Main sources of Industrial IoT information
3. Layers and architectures
4. Main protocols of each layer
5. Industrial IoT Gateways
6. New wireless communication technologies 

Course dates

This course runs on 19, 20, 27, 30 January 2026 from 09:00-16:15 CET. Total duration of study time is around 25 hours. This is followed by an evaluation assignment (self-paced, approx. 50h). 

Format and fees 

This course is in hybrid mode - either online, or onsite at ITCL, Spain - free of choice. 

Registration fees

• Industry professionals: EUR 800
• University students: EUR 650 

Certification 

ITCL will issue a certificate indicating the international master’s degree AI4CI - European Master Artificial Intelligence for Connected Industries. On request, 3 ECTS will be awarded by AI4CI partner Ulm University.