Keyword: «explainable ai»

The article addresses the cognitive gap between basic programming skills and the real-world demands of Industry 4.0. It proposes a methodology for adapting the industrial Machine Data Collection (MDC) system "Dispetcher MDC" for educational purposes. The structure of an interdisciplinary project course, "Digital Footprint of a Machine," is detailed, encompassing data collection emulation, OEE metric calculation, data visualization, and the application of explainable AI. This approach enables students to master the full lifecycle of industrial data processing in a secure sandbox environment, forming competencies highly demanded in modern digital enterprises.