The microcredential course will teach participants about the latest cyber physical systems principles, architectures, and technologies introduced into various types of industry or human life. The participants will get an overview of the benefits of individual industrial revolutions, emphasising Industry 4.0 and 5.0. They will understand concepts and contexts such as cloud systems, IoE (Internet of Everything) and IoT (Internet of Things). They will understand the penetration, synergy, and ecosystem of these pillars in various sectors of industry and life (cloud manufacturing, industrial IoT, smart city, smart living, smart home, smart automation). The participants will get to know the most modern architectures and applications of intelligent information systems. Participants will be explained the difference between technology-driven and value-driven concepts, which is the main difference between Industry 4.0 and 5.0. They will learn about the main ideas of Industry 5.0, such as sustainability, resilience and human-centred systems. Students will be introduced to selected case studies that utilize AI in Human-Centred Industry. This microcredential also addresses cybersecurity and regulatory frameworks, including GDPR and AI governance, to ensure students understand the ethical and legal dimensions of Industry 5.0 technologies.

Self-Assessment Quizzes, Practical Lab Exercises, Assignments, Essays/Reports, Knowledge Checks, Final Exam (Online), Case Studies, Projects

Lectures, Videos, Hands on Labs, Practical Labs, Case Studies, Live Code Demos, Code, Reviews, Literature Reading

Distinguish between technology-driven concepts of Industry 4.0 and value-driven systems of Industry 5.0.
Evaluate the role of enabling ICT technologies (AI, IoT, cloud computing, digital twins) in industrial transformation.
Analyse the convergence of operational and information technologies and their integration with human and societal needs.
Design and assess architectures, communication models, and services in distributed industrial information systems.
Understand and apply concepts of Sensing, Edge, Fog and Cloud computing in smart environments.
Critically evaluate and propose smart solutions in various sectors such as production, healthcare, transport, or robotics.
Evaluate cybersecurity strategies in distributed industrial systems.
Apply principles of AI ethics and data protection (e.g., GDPR) in the design of human-centred digital solutions.
Understand the role of regulatory compliance in the deployment of Industry 5.0 technologies.

Design and evaluate a technology strategy for a company implementing Industry 4.0/5.0 solutions.
Develop system architectures that integrate Industry 4.0/5.0 technologies.
Apply architectural principles to the design of secure, ethical, and human-centred digital systems.

Apply architectural and regulatory principles to the design of secure, ethical, and human-centred digital systems.
Critically analyse aspects of smart system solutions through collaborative case study preparation.
Construct coherent arguments and propose justified improvements to existing solutions in real-world case studies.