In this course, you’ll learn how to use AI professionally, as well as the legal framework and data protection regulations. You’ll also gain a comprehensive overview of Industry 5.0—from the fundamentals and key technologies such as robotics, 3D printing, and the IoT to legal, ethical, and psychosocial issues. The focus is on the role of people in digital transformation, the secure and responsible handling of data, and the development of sustainable, agile structures. The course also provides practical guidance on how to plan, implement, and sustainably embed transformation projects within an organization.
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Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
"Industry 5.0 Transformation Expert" Certificate with TÜV Rheinland-Certified Qualification -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
Transformation Expert Industrie 5.0 mit TÜV Rheinland geprüfter Qualifikation -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 8 Weeks
Artificial intelligence: AI officers with TÜV Rheinland-certified qualifications
Role of AI officers in the compliance context (approx. 1 day)
Introduction to the role of AI officers
Tasks and responsibilities
Differentiation from other roles
Introduction to professional communication with AI (approx. 1 day)
Basics, strategies and types of prompting
Key components for effective prompting
Building an internal prompt library
Legal basics (approx. 2 days)
Overview of relevant laws and regulations: GDPR, AI Act, product liability, copyright law
In-depth study: EU AI Act (approx. 2 days)
Structure, objectives, classification
Risk classes
Obligations for suppliers, operators, importers and distributors
Conformity assessment
Documentation and transparency obligations
Post-market monitoring and reporting obligations
Management systems and standards (approx. 2 days)
Overview of ISO/IEC 42001
Importance of AI management systems (AIMS)
Integration into existing management systems (e.g. ISO 9001, ISO 27001)
Compliance strategies
Governance frameworks
Risk management, data protection and ethics (approx. 3 days)
Types of risk (bias, errors, ethical risks)
Strategic risk assessment
Risk matrix
Excursus: Risks of AI agents
Action planning
Data protection and data security for AI systems
Data ethics and transparency requirements
Quality assurance in AI projects (approx. 3 days)
Quality assurance and acceptance processes
Stakeholder analysis
Communication strategies
Training concepts for employees
Data management (approx. 1 day)
Basics of data quality
Principles of data integrity
Development of data management structures
Change management (approx. 2 days)
Dealing with resistance during AI introductions
Training concepts for employees
Development of a change management plan
Excursus: Strategic AI roadmap
Project work, certification preparation and certification exam "AI representative with TÜV Rheinland-certified qualification" (approx. 3 days)
Industry 5.0 Transformation Expert with TÜV Rheinland-Certified Qualification
Introduction to Industry 5.0 (approx. 2 days)
Industrial Revolutions and Stages of Development
From Industry 4.0 to Industry 5.0 – Distinctions, Commonalities, Technological Bridges
Core Principles of Industry 5.0: Human-Centricity, Resilience, Sustainability
Current Trends in Industry
Maturity Models and Business Assessment
Key Technologies for Industry 4.0/5.0 (approx. 2 days)
Collaborative Robotics (Cobots), Human-Machine Collaboration
Additive Manufacturing and 3D Printing
Sensor Technology and M2M Communication
Human-Machine Assistance Systems and XR
Digital Infrastructure and Data Management
Blockchain in the Supply Chain
Digital Twins and Smart Factory Components
Artificial Intelligence in a Human-Centered Workplace (approx. 4 days)
The Role of People in Digital Transformation
Generative AI and Machine Learning in Industrial Processes
Agentic AI – Autonomous AI Agents in Production, Quality Assurance, and Maintenance (Predictive Maintenance)
Physical AI and Autonomous Mobile Robotics
AI Labeling Requirements and Demonstration of AI Competence in Everyday Business Operations
Ergonomic Support Through Assistance Systems
Human Decision-Making Authority Despite Automation
Upskilling and reskilling
Self-Organization, Empowerment, and Digital Leadership
Internet of Things and Services (approx. 2 days)
From IoT to AIoT (Artificial Intelligence of Things)
Intelligent and sustainable smart services
Edge analytics and the role of autonomous systems
Legal Framework and Data Security (approx. 3.5 days)
GDPR, BDSG, NIS-2 Implementation Act, and Cybersecurity Enhancement Act
KRITIS and Cybersecurity
Cyber Resilience Act (CRA) – Reporting Requirements for Vulnerabilities, Relationship to Industrial Control Systems
EU AI Act – Risk Categories, Obligations for Providers and Operators
EU Data Act for machine and usage data
Industrial Accelerator Act and Clean Industrial Deal
Labor Law for the Protection of Employees
Ethics and psychosocial aspects (approx. 1.5 days)
Fairness, transparency, decision logic in AI
Responsibility and control mechanisms
Inclusion and diversity
Psychosocial effects of technological transformation
Digital Transformation and Agile Value Creation (approx. 2 days)
Digitization of Industrial Processes (Horizontal/Vertical)
A Comparison of Change Management 4.0 and 5.0
Agile Systems, Lean, and Smart Production
Sustainable Value Chains: Digital Product Passport (ESPR) and CSRD Reporting Requirements
Phase Plan for Implementing Transformation Projects
Project work, certification preparation, and the “Industry 5.0 Transformation Expert” certification exam with TÜV Rheinland-certified qualification (approx. 3 days)
Changes are possible, the course content is updated regularly.
After the course, you will be able to take responsibility for the safe, ethical and effective use of AI in the company. You will evaluate applications from a technical perspective, develop internal guidelines and act as an interface between specialist departments, IT and data protection in order to use artificial intelligence responsibly.
In addition, you are able to actively help shape the transformation from Industry 4.0 to Industry 5.0. You understand key future technologies—from collaborative robotics to agentic AI and physical AI—and can implement them in the company in a human-centered, sustainable, and resilient manner. You are familiar with the current legal framework (including the AI Act, Data Act, Cyber Resilience Act, and GDPR) and implement its requirements in a practical manner. You assess the ethical and psychosocial impacts of digitalization, foster acceptance among employees, and independently develop phased plans for transformation projects that combine technological innovation, employee-centric approaches, and legal requirements.
The course is aimed at anyone who wants to play an active role in shaping future industrial development - with a particular focus on human-machine interaction, sustainability and resilient value creation. The course is particularly relevant for employees from production, maintenance, logistics, controlling, administration, HR and innovation management in industrial companies.
Specialists in the field of Industry 5.0 can find employment not only at large industrial companies. Small and medium-sized businesses that want to participate in the digital transformation are also looking for qualified personnel with expertise in Industry 5.0. After completing the course, you’ll be able to demonstrate your new skills with a TÜV Rheinland-certified qualification.
Additional knowledge in the strategic use of AI projects and your TÜV Rheinland-certified qualification will open up further career opportunities in the current job market.
You prove your newly acquired knowledge with a TÜV Rheinland-certified qualification.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).