-
Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "Change Manager (IHK)" -
Examination: Praxisbezogene Projektarbeit mit Abschlusspräsentation
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
(Change Manager:in zertifiziert durch die IHK) -
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.)
-
Language of Instruction: German
-
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)
Change Manager (IHK)
Fundamentals of Industry 5.0 and Digital Transformation (approx. 3 days)
Industry 5.0 – Sustainable, Human-Centered, and Resilient
Developments from the Past to the Present
Digital Revolution or Natural Evolution
The Key Building Blocks for a Factory of the Future
The Impact of Industry 5.0 on the Economy and People
The Technical Foundation – Intelligent, Digitally Networked Systems and Production Processes
Digital Transformation as a Continuous Process of Development
Artificial Intelligence and Generative AI as Drivers of Transformation
Opportunities and Limitations of AI in Everyday Work Life
Legal Framework: The EU AI Act
Personal Adaptability in the Context of New Work (approx. 4 days)
The New Work Era
Putting People First
The New World of Work—More Digital, More Mobile, More Efficient, and More Connected
The Old Workplace—A Look Back
The New Workplace – Current Status
The Workplace of the Future—Video Conferencing, Remote Work, and Robots
Global Teams: The Key Building Blocks for Successful Global Collaboration and Teamwork
Self-organization and self-management in the New Work era
Agile Learning and Knowledge Management in the Digital Age
AI-powered tools for self-organization and knowledge management
An Overview of Models and Tools for Modern Conflict Management
The Opportunities of New Work and Work 5.0
Systems and Processes (approx. 3 days)
Process Analysis with a Focus on Digital Transformation
AI-powered process mining for process optimization
Lean Management – Rethinking Leadership Processes
Design Thinking – An Insight into the New Approach to Problem Solving and Idea Generation
AI as an ideation partner in Design Thinking
Scrum – An Approach to Agile Project and Product Management
Change and Innovation Management (approx. 5 days)
Analyzing Change—The Beginning of the Change Process
Tools and Instruments in the Change Process
AI-powered analysis and forecasting tools in the change process
Designing a Change Architecture—The “Core Competency” in Change Management
Success Factors in Change Management
Dealing with Resistance
The Importance of Change Communication
Generative AI in Change Communication
Innovation Management – Change Management as a Driver of Innovation
The Innovation Process: Planning, Implementation, and Performance Monitoring
AI as a Driver of Innovation for New Business Models
Change Monitoring in Change Processes (approx. 2 days)
Agile Reporting – Progress Tracking
AI-Powered Reporting and Data Analysis
Communication Controlling—Planning, Management, and Monitoring of Corporate Communications
AI-powered sentiment analysis in communication management
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
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 also understand the importance of change and innovation for business success and know the impact of changing processes and structures on the working environment. You are familiar with the roles in a modern company, you can develop strategic plans and then evaluate their success.
Specialists and managers from all areas of the company who want to implement and coordinate operational AI projects, as well as project managers and employees from IT, project and process management, quality management or digitalization projects.
The course is also aimed at business-oriented individuals who are facing the entrepreneurial challenges of digitalization.
You will manage AI projects, ensure compliance, data protection and ethical standards and support teams in the use of AI tools. TÜV-certified qualifications open up career opportunities in strategy, project management and data & AI governance.
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).