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Certificates: Certificate "Quality representative with TÜV Rheinland-certified qualification"
Certificate in “Artificial Intelligence (AI) in Quality Management” -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Qualitätsbeauftragte:r 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
Quality officers with TÜV Rheinland-certified qualifications
Fundamentals of Quality Management (approx. 1 day)
Terms and Definitions
Quality Management
Quality Management Systems
Standards and Guidelines
Structure of the Standard According to the Harmonized Structure
Fundamentals of Litigation (approx. 1 day)
What Is a Process?
Process Management According to ISO 9001
Identification of Processes
ISO 9001 Process Model
AI-Supported Process Analysis and Optimization
Organizational Context (approx. 1 day)
Organizational Context
Organizational Context with Climate Change Aspects
Stakeholders
Scope of Application
Management (approx. 1.5 days)
Commitment to the QM system
Quality policy
Responsibilities and powers
Planning (approx. 1 day)
Managing Risks, Opportunities, and Actions
Quality Objectives and Planning
Planning for Changes
Opportunities and Risks in the Use of AI in Quality Management
Support (approx. 2.5 days)
Resources
Competence
Awareness
A culture of quality and ethical behavior as an integral part of awareness
Communication
Organizational Knowledge, Knowledge Management
Use of AI applications to support competency development and knowledge management
Documentation of the Quality Management System
Requirements for documented information as evidence of effectiveness and implementation
Operations (approx. 2 days)
Operational Planning
Requirements for Products and Services
Development
Proactive defect prevention using FMEA, QFD, and Poka Yoke
AI-supported methods for predictive defect detection (Predictive Quality)
External Provision
Supply Chain Act (LkSG) and EU Sustainability Directive (CSDDD)
Production and Service Delivery
Approval of products and services
Management of Non-Conforming Results
Performance Evaluation (approx. 1.5 days)
Monitoring and Measurement
AI-powered data analysis and evaluation
Internal audit
Management review
Improvement (approx. 1 day)
Non-conformity and corrective actions
Continuous improvement
Auditing and Certification (approx. 1 day)
Fundamentals of Auditing
Internal Audits
Audit Process
Auditing External Providers or Third Parties
Certification Audit
Communication (approx. 1.5 days)
Building Blocks of Communication
The Iceberg Principle of Communication
The Four-Ears Model
Communication Behavior in Audits
Project management (approx. 1 day)
Definition of project
Managing projects successfully
Total Quality Management (approx. 1 day)
Quality in an Organization
ISO 9004: Guidance on Achieving Sustainable Success
EFQM Model for Excellence
Project work, certification preparation and certification examination "Quality Officer with TÜV Rheinland certified qualification" (approx. 3 days)
Artificial intelligence (AI) in quality management
Basics of artificial intelligence in quality management (approx. 2 days)
AI core definitions and technologies
Significance and possible applications for QM
AI in the Context of ISO 9001 (approx. 1 day)
Process- and Risk-Based Approach
AI Application Areas Relevant to Standards
Use of the Harmonized Structure (HS) for AI-supported integration with other management system standards
Data management and analysis (approx. 2 days)
Data quality and preparation
Data availability and documentation
Predictive quality and data-based decisions
Predictive analytics and machine learning
Risk and requirements management with AI
Legal and Ethical Aspects (approx. 4 days)
AI Regulation, GDPR, and the EU AI Act
ISO/IEC 42001 (Management Systems for AI)
Corporate Compliance
Bias, Discrimination, Traceability
Responsibility in AI-Supported Decision-Making
Current Developments in ISO Management System Standards (Harmonized Structure)
Documented Information as Evidence of the Effectiveness of AI-Supported Quality Management Processes
Prompting and automation (approx. 1 day)
Effective prompting for QM applications
Introduction to assisting AI agents in QM (agent-based workflows)
Short workflows with a low-code platform
CIP and process improvement with AI (approx. 2 days)
Process management according to ISO 9001
CIP cycle and automation options
Use of assisting AI agents to support the CIP cycle
Suggestions for improvement with ChatGPT
AI in internal communication (approx. 3 days)
Analyze customer requirements with AI support
Creating texts with AI (audit reports, action plans)
Creating simple learning modules and content as well as
employee training with AI
Audit and Certification (approx. 2 days)
Planning and Preparation with AI
AI agents for audit preparation (assistance systems)
Generate audit checklists
Audit programs
Transition periods for standard revisions and their impact on AI-supported audit processes
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Changes are possible, the course content is updated regularly.
Once you have completed the course, you will be able to plan, implement, and maintain a quality management system and monitor its effectiveness. You’ll also gain professional expertise in applying the DIN EN ISO 9001 standard, planning internal quality audits, and making effective use of AI-powered tools in quality management.
You can also use tools such as ChatGPT Team and low-code platforms specifically for process optimization, data analysis and audit preparation. The focus here is on integrating AI into ISO 9001-compliant QM processes, taking legal and ethical requirements into account (AI Act, GDPR) and developing automated solutions for CIP, audit and communication. You will also be able to use and further develop AI applications independently, responsibly and in compliance with standards in quality management.
The course is aimed at managers and employees who are responsible for quality management and want to understand and effectively use AI technologies.
Specialists in the field of quality management are in demand from both large and medium-sized companies in industry, trade and the service sector. After the course, you will be able to provide meaningful proof of your new skills 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).