This course provides comprehensive knowledge on the strategic implementation of artificial intelligence in a business setting. You will learn to evaluate and apply AI tools from a management perspective, develop an AI governance framework and strategy, and successfully design change processes and organizational structures. In addition, the course covers methods for managing AI projects, as well as the sustainable integration of AI and its ethical and responsible use. You’ll also gain a comprehensive overview of Industry 5.0—from the fundamentals and key technologies such as robotics, 3D printing, the Internet of Things (IoT), and digital twins, to legal, ethical, and psychosocial issues. The focus is on the role of humans in digital transformation, the secure and responsible handling of data, and the development of sustainable, agile structures.
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Certificates: Certificate "Manager for applied AI transformation with TÜV Rheinland certified qualification"
"Industry 5.0 Transformation Expert" Certificate with TÜV Rheinland-Certified Qualification -
Examination: Manager:in für angewandte KI-Transformation 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: 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)
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 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.
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.
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).