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Certificates: Certificate "Manager for applied AI transformation with TÜV Rheinland certified qualification"
"Transformation Expert Industry 4.0/5.0 with TÜV Rheinland-certified qualification" certificate -
Examination: Manager:in für angewandte KI-Transformation 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: Manager for applied AI transformation
Introduction and Objectives (approx. 2 days)
Strategic Foundations and Framework Conditions
Successful AI Initiatives from a Management Perspective
The Importance of AI for Leadership and Management
Legal Framework: Overview of the EU AI Act and GDPR
EU AI Act: Risk Classification, GPAI Models, and AI Governance Requirements
Compliance and Documentation Requirements
Strategic Use Case Selection (approx. 4 days)
AI Tools from a Management Perspective
Market Overview of AI Tools (Opportunities and Limitations)
Generative AI and Prompt Engineering: Fundamentals, Applications, and Best Practices
AI Models for Specific Use Cases, Such as Text Generation, Programming, Recruitment, Image Generation, Video Creation, and AI Automation Opportunities in Operations
Deriving Use Cases for the Company: Key Metrics Driver Tree
GAP Analysis and Process Selection
Strategy Development (OKR, Competitive Analysis)
Analysis of business processes (Makigami) and maturity analysis
Corporate strategic benefits of AI
Use Case Identification and Evaluation
Selection of external AI service providers: costs, licensing models, requirements specification, service level agreement, and scalability
Collaboration with research institutions and startups
Planning, Managing, and Implementing AI Projects (approx. 4 days)
Development of an AI Roadmap
Risk Management: Identification and Analysis
Risk Management: Measures and Documentation
Pilot implementation
Value Creation and ROI Through AI
Budget and Resource Planning
Cost Categories, Roles, Capacities, and Data Quality
Time Management and Grant Research
Project Management Methods for AI Projects
KPI Development
Controlling and Performance Measurement
Quality management
Ongoing Optimization and Scaling
Organizational Development, Governance, and Change Management (approx. 5 days)
AI Governance: Building a Sustainable Organizational Structure
Responsibilities and Role Allocation
Corporate Digital Responsibility (CDR): Responsible and Ethical Use of AI
Change Management: Organization, Culture, and Leadership
Communication Strategies
Employee Training
Dealing with Resistance
Sustainable Integration of AI in the Company (approx. 2 days)
Scaling pilot projects to other business units
Continuous improvement (e.g., data-driven decision-making, feedback loops)
Project work, certification preparation and certification exam "Manager for applied AI transformation 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 strategically anchor AI in your company, design change processes and organizational structures, evaluate use cases and ensure the benefits and success of AI initiatives at company level.
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.
Specialists and managers as well as those responsible for transformations who want to strategically introduce AI in the company, design change processes and organizational structures and ensure the benefits and success of AI initiatives.
AI and digital transformation are increasingly central topics in companies. With the knowledge you have acquired, you will be able to steer the areas of AI management, transformation and innovation within the company, making you attractive for all industries.
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).