All Courses
Continue studying in a course that you have already enrolled in, or enroll in a new course.
LEARNING PATH 1
First and foremost: DATA
The First and foremost: DATA path consists of 3 courses:
LEARNING PATH 2
Workflow 4.0: Supply Chain Fundamentals
The Workflow 4.0: Supply Chain Fundamentals path consists of 3 courses:
LEARNING PATH 3
How to Start from Scratch to Production 4.0
The How to Start from Scratch to Production 4.0 path consists of 3 courses:
LEARNING PATH 4
Advanced Intelligent Manufacturing
The Advanced Intelligent Manufacturing path consists of 3 learning modules
LEARNING PATH 5
Industry 4.0: Benefits and Challenges
The Industry 4.0: Benefits and Challenges path consists of 3 learning courses:
LEARNING PATH 6
Human-machine interaction and smart computing technologies
The “Human-machine interaction and smart computing technologies” path consists of 3 courses:
About the Learning Paths
Gain a comprehensive understanding of the main European data regulations; acquire proficiency in the fundamentals of Big Data and data management; and develop practical skills in data analysis and visualisation.

Learning Path 1
Gain comprehensive insights into smart working principles, ready to use in their work contexts; become aware of popular digital tools, e.g., for project management and communication; and gain an in-depth understanding of digital Document Management Systems (DMS).

Learning Path 2
Understand the governance of digitalization in the manufacturing sector and the workplace: become equipped to digital integration for production assets and online services: and gain a comprehensive understanding of digital inefficiencies and risks in professional environments.

Learning Path 3
Gain top knowledge of intelligent manufacturing technology, robotics and additive manufacturing; understand the need to acquire and process real-time data in smart manufacturing for a high-fidelity integrated view of all operations – from suppliers and supply chains to facilities, processes and manufacturing processes to final product testing and customer satisfaction.

Learning Path 4
Obtain a comprehensive understanding of governance of adoption of energy saving systems in the workplaces: recognize and adopt innovative virtual reality technologies to effective improve the efficiency of workflows in the organizations: and understand the digital transformation impact in rethinking the work, job crafting, and virtual lean teams.

Learning Path 5
Establish a strong foundation for further study or specialization in areas such as human-machine interaction, AI, IoT, or related interdisciplinary fields; acquire proficiency in designing and implementing IoT solutions, AI-driven solutions and systems with enhanced efficiency and effectiveness for real word applications; and gain a comprehensive understanding of human-machine interaction principles, touch interfaces, and accessible GUI design, enabling them to create user-friendly interfaces for diverse user groups.

Learning Path 6