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:

Free

P1-C1: Data protection and privacy in digital services. EU data protection rules.

Free

P1-C2: Business data evaluation and big data management

Free

P1-C3: Managing, integrating and analyzing data inside and between organizations.

LEARNING PATH 2

Workflow 4.0: Supply Chain Fundamentals

The Workflow 4.0: Supply Chain Fundamentals path consists of 3 courses:

Free

P2-C1: Smart working and technologies enabling digitization in operational processes

Free

P2-C2: Document management systems and digitization of workflows

Free

P2-C3: Supply chain certification and automatic process verification and accountability

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:

Free

P3-C1: Governance of digitalization in the manufacturing sector and the workplace

Free

P3-C2: Digital integration for production assets and online services

Free

P3-C3: Digital inefficiencies and risks in professional environments

LEARNING PATH 4

Advanced Intelligent Manufacturing

The  Advanced Intelligent Manufacturing path consists of 3 learning modules

Free

P4-C2: Advanced robotics and human-robot collaboration

Free

P4-C3: Automation systems integration and smart factories

LEARNING PATH 5

Industry 4.0: Benefits and Challenges

The Industry 4.0: Benefits and Challenges path consists of 3 learning courses:

Free

P5-C1: Energy savings and environmental impact of production systems

Free

P5-C3: Rethinking the work, job crafting, and virtual lean teams

LEARNING PATH 6

Human-machine interaction and smart computing technologies

The “Human-machine interaction and smart computing technologies” path consists of 3 courses:

Free

P6-C1: Internet of Things (IoT) in combination with advanced mobile connectivity (5G)

Free

P6-C2: Human-machine interaction, touch interfaces, and accessible GUIs

Free

P6-C3: Artificial intelligence and expert systems

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).
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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
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