Artificial intelligence (AI) in quality management with Change Manager (IHK)

The course combines change management and modern quality management with AI-supported methods. You will learn how to successfully manage change processes in the course of digital transformation and how to guide employees through change. At the same time, you will gain in-depth knowledge of setting up and optimizing QM systems in accordance with ISO 9001. The practical use of artificial intelligence and automation tools will help you to make processes more efficient and achieve sustainable corporate goals.
  • Certificates: Certificate in “Artificial Intelligence (AI) in Quality Management”
    Certificate "Change Manager (IHK)"
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    (Change Manager:in zertifiziert durch die IHK)
  • 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: 8 Weeks

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

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.

Knowledge of quality-related activities is a prerequisite.

After completing the course, you will be able to use tools such as ChatGPT Team and low-code platforms specifically for process optimization, data analysis, and audit preparation. The course focuses on integrating AI into ISO 9001-compliant quality management processes, adhering to legal and ethical requirements (AI Act, GDPR), and developing automated solutions for continuous improvement, audits, and communication. Furthermore, you’ll be able to use and further develop AI applications in quality management independently, responsibly, and in compliance with standards. The Harmonized Structure (HS), as the common framework for ISO management system standards, helps you consistently integrate AI-supported QM processes with other management systems.

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.

The course is aimed at managers and employees who are responsible for quality management and want to understand and effectively use AI technologies.

Your expertise in standard-compliant AI integration makes you a sought-after specialist for companies that want to future-proof their quality management.

In addition, interdisciplinary knowledge of digital processes is in demand across all sectors.

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.