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Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
"Transformation Expert Industry 4.0/5.0 with TÜV Rheinland-certified qualification" certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
Transformation Expert Industrie 4.0/5.0 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)
Transformation Expert Industry 4.0/5.0 with TÜV Rheinland-certified qualification
Introduction to Industry 4.0/Industry 5.0 (approx. 2 days)
Industrial revolutions and development stages
From Industry 4.0 to Industry 5.0 - differentiation, similarities, technological bridges
Focus on people (role, importance, responsibility)
Current trends in the industry
Maturity models and company diagnosis
Key technologies Industry 4.0/5.0 (approx. 3 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
Introduction to digital twins and smart factory components
Artificial intelligence in the human-centered world of work (approx. 2.5 days)
The role of humans in digital change
Generative AI and machine learning in industrial processes
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 days)
DSGVO, BDSG, IT security law
KRITIS and cyber security
AI Act and Green Deal in the industrial context
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. 3 days)
Digitalization of industrial processes (horizontal/vertical)
Change management 4.0 and 5.0 in comparison
Agile systems, lean and smart production
Phase plan for the implementation of transformation projects
Project work, certification preparation and certification exam "Transformation Expert Industry 4.0/5.0 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.
You will also be able to understand transformation processes according to the principles of Industry 4.0 and 5.0, classify relevant technologies and legal frameworks (e.g. AI Act, GDPR) and implement digitalization strategies in your own company. You take sustainability, ethics and security into account and actively shape the impact on the organization, employees and processes.
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 4.0 and 5.0 are not only employed by large industrial companies. Small and medium-sized companies that want to participate in the digital transformation are also looking for qualified personnel with knowledge of Industry 4.0. After the course, you can provide meaningful proof of 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.
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).