Quality Representative and Auditor with Six Sigma Green Belt Certification

The course provides professional knowledge in the application of ISO DIN EN 9001, the maintenance of a QM system and the use of artificial intelligence (AI) in your professional environment. You will also learn how to carry out audits and implement more complex Six Sigma projects in companies.
  • Certificates: Certificate "Quality representative with TÜV Rheinland-certified qualification"
    Certificate "Quality auditor with TÜV Rheinland certified qualification"
    "Six Sigma Green Belt" Certificate
  • Examination: Qualitätsbeauftragte:r mit TÜV Rheinland geprüfter Qualifikation
    Qualitätsauditor:in mit TÜV Rheinland geprüfter Qualifikation
    Six Sigma Green Belt
    Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
  • 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

Basics of quality management (approx. 1 day)

Terms and definitions

Quality management

Quality management systems

Standards and guidelines


Process basics (approx. 1 day)

What is a process?

Process management according to ISO 9001

Identification of processes

ISO 9001 process model


Corporate environment (approx. 1 day)

Context of the organization

Interested parties

Scope of application


Management (approx. 1.5 days)

Commitment to the QM system

Quality policy

Responsibilities and powers


Planning (approx. 1 day)

Dealing with risks and opportunities

Quality objectives and planning

Planning changes


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Support (approx. 2 days)

Resources

Competence

Awareness

Communication

Knowledge of the organization, knowledge management

Documentation of the quality management system


Operation (approx. 2 days)

Operational planning

Requirements for products and services

Product development

Predictive failure avoidance with FMEA, QFD, Poka Yoke

External provision

Supply Chain Act (LkSG) and EU Sustainability Directive (CSDDD)

Production and service provision

Release of products and services

Control of non-conforming results


Evaluation of performance (approx. 1.5 days)

Monitoring and measurement

Internal audit

Management review


Improvement (approx. 1 day)

Non-conformity and corrective actions

Continuous improvement


Auditing and certification (approx. 1.5 days)

Fundamentals of auditing

Internal audits

Audit procedure

Auditing external providers or external parties

Certification audit


Communication (approx. 2 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. 0.5 days)

Quality of an organization

ISO 9004: Guidance for achieving sustainable success

EFQM Model for Excellence


Project work, certification preparation and certification examination "Quality Officer with TÜV Rheinland certified qualification" (approx. 3 days)

Quality auditor with TÜV Rheinland certified qualification

Fundamentals of auditing, audit types (approx. 2 days)

Audits as a management tool

Audit classification according to participants

Audit classification according to the subject of the audit


Standards as a basis for auditing and certification (approx. 0.5 days)

Industry-independent certification standards

Industry-specific certification standards


Management of an audit program (approx. 1.5 days)

Defining the audit program objectives

Audit program risks and opportunities

Defining, implementing and monitoring the audit program

Reviewing and improving the audit program


Carrying out an audit (approx. 3 days)

Initiating the audit

Preparing the audit activities

Carrying out audit activities

Creating and distributing the audit report

Concluding the audit

Carrying out audit follow-up measures


Competence and assessment of auditors (approx. 1 day)

Determining the competence of auditors

Determining the assessment criteria for auditors

Selecting the appropriate assessment method

Carrying out the auditor assessment

Maintaining and improving auditor competence


Audit communication (approx. 2 days)

Basics of communication

Audit opening

During the audit

After the audit


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Certification (approx. 1 day)

ISO 9001: A model for success

Certification - Why?

Selection of the certification company

Certification process


Process requirements for certification (approx. 4 days)

Activities prior to certification

Planning audits

Initial certification

Certification decision

Maintenance of certification

Appeals, complaints

Customer records

Document review


Project work, certification preparation and certification examination "Quality auditor with TÜV Rheinland certified qualification" (approx. 5 days)

Quality Management – Six Sigma Green Belt

Introduction to Six Sigma (approx. 1 day)

What is Six Sigma? History, Philosophy, and Strategy

DMAIC Project Phases, Objectives, and Roles

Six Sigma in the Context of Lean, Quality Management, and Operational Excellence

Hybrid Project Management with DMAIC for AI Projects


AI-Powered Project Management (approx. 1 day)

Fundamentals of Artificial Intelligence 

Applications Along the DMAIC Framework, Limitations, and Risks

Data and Prompt Fundamentals, Context, and Quality Criteria

Governance, Security, the EU AI Act, and the GDPR

AI Dashboard, Information Consolidation, and Quality Gates


Define – Define (approx. 3 days)

Project identification, strategic relevance, and key metric driver tree

Distinction from CIP and PUL (Problem, Cause, and Solution)

Project Profile: Problem Description and SMART Goal Definition

In-scope and out-scope definitions, as well as AI-supported completeness check

LIPOK and Voice of the Customer (VoC)

Affinity Diagram and Kano Model

VoC-to-CTQ transformation, specifications, and acceptance criteria

AI-supported analysis and technical validation of customer requirements

Cost-effectiveness: ROI, TCO, and qualitative benefits

Stakeholder Analysis and AI-Supported Project Planning

Risk Analysis and Preventive Measures

Change management and motivation for change

Communication strategy, elevator pitch, and AI-supported change story

Quality Gate Review: Define


Measure – Measurement (approx. 3.5 days)

Mathematical process model and cause-and-effect chain of the CTQs

Influence analysis using Ishikawa and KSR, as well as an AI-supported metrics matrix

Data Types and Measurement Scales

Operational definition, data collection methods, and sampling strategy

Data collection plan and control using an AI dashboard

Measurement system analysis: bias, repeatability, reproducibility, and gage R&R

Data quality, plausibility checks, and AI-supported data cleaning

Data Visualization, Statistical Metrics, and Machine and Process Capability

AI-Supported Interpretation of Measurement Results and Quality Gate Review Measure


Analyze – Analysis (approx. 3.5 days)

Process Map and Data Map, as well as Value Stream Analysis

Value stream analysis, spaghetti diagram, TIMWOODS, and Makigami

Distinguishing Between Symptoms, Problems, and Causes

Cause-and-effect and Pareto analysis, as well as AI-supported error code clustering

Hypothesis Formulation and AI as a Sparring Partner

Design of Experiments and AI-assisted testing of influencing factors

Correlation and regression analysis, as well as statistical hypothesis testing and group comparisons

AI-Supported Evidence Matrix and FMEA

Quality Gate Review and Analysis


Improve – Innovative Improvement (approx. 3 days)

Creativity Techniques and AI-Supported Solution Development

Lean solution principles as well as technical and organizational measures

Solution approaches using generative AI, automation, and robotics

Regulatory and organizational requirements for AI deployment

AI-specific risk assessment, as well as feasibility and maturity analyses

Solution evaluation

Acceptance and cost-benefit analysis

Implementation plan and pilot program with success and acceptance criteria

Iterative Approach to AI Pilots and Quality Gate Review Improve


Control – Controlling and Sustainable Implementation (approx. 2 days)

Go-Live, Process Stabilization, and Support During the Start-up Phase

Standard Operating Procedures and Controlling Plan

KPIs, statistical process control, control charts, and corrective actions

Balanced Scorecard and AI-Supported Monitoring

Audit Concept

Project completion, handover, and AI-supported documentation

Quality Gate Review Control


Project work, exam preparation, and final exam (approx. 3 days)



Changes are possible, the course content is updated regularly.

Professional experience in the production or service sector and basic knowledge of quality management are required.

Once you have completed the course, you will be able to plan, introduce and maintain a quality management system and monitor its effectiveness. You will also have professional knowledge in the application of DIN EN ISO 9001 and in the planning of internal quality audits.

In addition, you will have all the necessary theoretical foundations for the practical implementation of audits in organizations as well as the know-how to carry out qualified audits in the company. In this way, you will support the effectiveness of the QM system and promote the company's quality capability. You optimally coordinate customer requirements, quality standards and organizational conditions and bring transparency to the processes. You simplify the workflows in the company and use the synergy effects of a process-oriented QM system. You will be able to plan and carry out audits.

In addition, after completing the course, you will be able to independently and successfully implement Six Sigma projects in accordance with ISO 13053-1 and the DMAIC framework. You will confidently apply the specific tools and methods of process and data analysis, derive improvements based on data, and consistently use AI as a methodological aid. You will design Quality Gate Reviews based on the DMAIC framework and develop AI-powered dashboards for project management, quality control, and decision support.

The course is aimed at managers and employees who are entrusted with quality management, who are to implement a QM system in practice or who would like to develop in the field of quality management, as well as specialists and managers from production and service companies who would like to work as QM auditors.

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.

Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.

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.