Quality officers, AI officers and officers for integrated management systems

After attending this course, you will have professional knowledge in the application of the ISO DIN EN 9001 standard as well as in the planning and maintenance of a QM system. You will also learn about the professional handling of AI, the legal framework and data protection. Furthermore, with IMS you will learn tools and methods for complying with various standards, for example in the areas of quality, occupational safety, environmental protection and energy.
  • Certificates: Certificate "Quality representative with TÜV Rheinland-certified qualification"
    Certificate "AI representative with TÜV Rheinland-certified qualification"
    Integrated management systems" certificate
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    Qualitätsbeauftragte:r mit TÜV Rheinland geprüfter Qualifikation
  • Teaching Times: Full-time
    Monday 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: 12 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 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)

Integrated management systems (IMS)

The Big Five – Overview of the Most Important Standards (approx. 1 day) 

ISO 9001, 14001, 27001, 45001, 50001

Harmonized Structure (HS) as the uniform basic structure of ISO management system standards

Non-ISO Standards for IMS

IATF, EMAS, MDR, etc.


Management System (MS) (approx. 4 days)

General Information on Management Systems

Components—Objectives, Processes, Resources, Performance Monitoring

The PDCA Cycle as a Continuous Improvement Process

Key Aspects of Standards

Relationships – Understanding and Implementing the Systems Approach

Harmonized Structure (HS) as a Further Development of the Previous High-Level Structure (HLS)

Process-Oriented Approach vs. Function-Oriented Approach

Challenges in Implementing Management Systems

Fundamentals – Purpose and Objectives of the Management System Standard (MSS)

Standard Applications and Requirements

Application – Implementation of Standard Requirements

Change Management and Demonstration of Effectiveness as Key Requirements of Modern Management System Standards


AI in the management system context (approx. 1 day)

Introduction to AI technologies

Possible applications in management systems (document control, risk analysis, audit support)

Opportunities, limitations and compliance requirements


Integration preparation (approx. 2 days)

Managing the integration

Defining the area of application

"Scope, context, interested parties

Scope of combined MSS or IMS

Planning the integration


Document Requirements (approx. 1 day)

Various MSS standards and other stakeholders

Options for Documenting an IMS

Documentation for Audit Preparation

Documented information as evidence of the effectiveness of processes and measures


Linking IMS and MSS Standards (approx. 1 day)

Structuring the IMS

Structuring the requirements of MSS standards

“Mapping” the requirements

Harmonized Structure (HS) as a common basis for consistent mapping


Integrating the MSS standards into the IMS (approx. 1 day)

Analyze gaps

Closing the gaps through further measures

Review the measures

Maintain and improve integration


Auditing the IMS (approx. 2 days)

Audit definitions, audit types and audit principles

Parties interested in the IMS audit

Requirements of different audits

Audits in companies

Audit program/audit plan

Audit questionnaire

Certification of MSS


IMS Certification (approx. 1 day)

Elements Eligible for Certification

Combined or Integrated Audit

Selection of certifiers

Application and Process

Take into account transition periods for standard revisions


Complexity of IMS (approx. 3 days)

Summary of All Content

Opportunities and Risks

Outlook and Discussion

Impact of current ISO standard revisions (Harmonized Structure, integration of climate change and sustainability) on existing IMS

Typical Communication Problems in Organizations

Roles, Responsibilities, and Authorities

Communication with Various Stakeholders

Communication Methods

Communication through documents


Project work (approx. 3 days)

To consolidate the content learned

Presentation of the project results



Changes are possible, the course content is updated regularly.

Experience in dealing with artificial intelligence (AI) is required.

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.

After the course, you will also 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 AI responsibly.

Upon completion of the course, you will have a basic understanding of the interrelated ISO standards and how they are integrated. You will be familiar with the fundamentals of management systems, have mastered the process-oriented approach, and understand the challenges involved in implementation. You will be able to plan, structure, and implement an IMS, effectively integrating various standards. You will also have expertise in auditing, certifying, and documenting IMS. With this knowledge, you can successfully introduce, audit, and continuously improve complex management systems within organizations. In doing so, you will also take into account the Harmonized Structure (HS) as the current framework for ISO management system standards.

This course is primarily aimed at management representatives from the areas of quality, environment, occupational health and safety and health management who wish to expand their area of activity.

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.

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.

Numerous requirements and standards also determine the everyday life of companies and make it difficult to reduce the internal administrative workload in order to achieve an increase in productivity and greater process efficiency. By creating an integrated management system (IMS), a standardized system can be used for different areas, thus reducing the complexity of processes and the internal administrative burden. Employees with the relevant expertise to set up such an IMS are in demand on the job market across all sectors.

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).

We will gladly advise you free of charge.

0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.

Contact

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.