Within the framework of the Greece4.0 project “Network of Excellence for the Development, Dissemination and Implementation of Digital Transformation Technologies in the Greek Manufacturing Industry”, a comprehensive set of educational presentations and digital educational material has been developed, aiming to enhance the skills of industry executives, engineers, researchers and students in modern technologies of smart and sustainable production.
- Production and automation engineers
- Industrial executives and technical personnel
- Researchers and other academic personnel
- Students of technological and polytechnic schools
- Professionals who wish to upgrade skills (upskilling / reskilling)
- Circular Value Chains
- Artificial Intelligence
- Flexible, Accurate and Resilient Production
- Introduction to VR & AR Technologies
- Cybersecurity
- Robotic Systems
- Digital Twins
Greece 4.0’s educational material is based on real industrial challenges, laboratory tests and pilot applications of the project’s solutions. The approach combines theoretical training with practical examples, aiming to bridge research with the productive fabric, as well as a series of questions after each lecture to ensure the correct transmission of knowledge to the trainees.
- Central digital dissemination and education platform
- Access to presentations and educational material
- Structured content by thematic unit
- Possibility of future expansion with new courses and material
- Support for lifelong learning and academia-industry collaboration
The educational platform and the developed material constitute a key pillar of sustainability of the Greece 4.0 Network of Excellence, ensuring the continuous utilization, updating and dissemination of the knowledge produced even after the completion of the project.
Introduction to VR & AR Technologies
The module introduces the fundamentals of Virtual and Augmented Reality, presenting the necessary hardware and software ecosystem. Learners become familiar with Unity, SDKs and OpenXR, implementing their first simple XR projects with a practical orientation.
Flexible, Accurate & Resilient Manufacturing
The module focuses on the principles of industrial flexibility and resilience in manufacturing, linking theoretical concepts with measurable indicators and decision-making tools. Production planning methodologies and computational intelligence techniques are presented to manage dynamic and unpredictable conditions.
Cybersecurity
The module covers the fundamentals of network and application security, from digital certificates and TLS to attacks on DNS and TCP. Through lab exercises and analysis of real-world scenarios, students gain a practical understanding of protection mechanisms and attack detection.
Circular Value Chains
This module introduces the basic principles of the circular economy and sustainable supply chain management. It presents performance measurement tools, quantitative network design models, and applications of reverse logistics and Life Cycle Assessment (LCA).
Robotic Systems
The module offers a comprehensive introduction to robotics, from kinematics and mobile robots to autonomous systems and Artificial Intelligence applications. Particular emphasis is placed on industrial utilization and the interconnection of robotic technologies with modern production environments.
Artificial Intelligence
The module introduces the basic concepts of Artificial Intelligence, neural networks and learning strategies. Applications such as Computer Vision, Productive AI and Predictive Analytics are covered, with an emphasis on industrial scenarios.
Digital Twins
The module introduces the technologies that support Digital Twins, with an emphasis on Machine Learning, Deep Learning and Genetic AI. It presents basic models, modern techniques and issues of responsible use in modern digital environments.