QM, AI & Improvements

Advanced AI

FOOD, PACKAGING MATERIALS, DIETARY SUPPLEMENTS, HPC

AI training in quality management — Advanced

Deepen your understanding of the use of AI in QM – with professional prompting, CustomGPTs, local AI alternatives and concrete QM use cases.

1 x 4 hours.

Max. 12 participants

Live online

certificate

A course instructor explains complex process diagrams and process structures in QM to a participant using a laptop.

AI training in quality management — for advanced users and application possibilities

How do you build structured prompts for recurring quality management tasks? How do you create your own AI assistants? And how do you use AI tools more securely, effectively, and with more verifiable results?

This advanced training course on AI in quality management will answer these and other questions. It is designed for individuals who already have some experience with generative AI and now want to work with it more professionally. The course focuses on structured prompts, custom GPTs, alternative AI tools such as Mistral agents, data privacy considerations, and specific applications for quality management, quality assurance, documentation, training materials, reports, and process work.

Advanced

They delve deeper into prompting, role logic, format specifications, and structured output.

Practical

They develop their own QM applications in the Creator Lab and test concrete examples.

Ready to use immediately

You will receive templates, tool tips, and a 4-week plan for further work.

Advantages of advanced AI training in QM.

From experts

Practical trainers

Small groups

Maximum 12 participants

On-line

Without travel times

documents

Directly as PDF

For groups*

special conditions

For businesses**

Customizable**​

** For businesses: We also offer our training courses in-house upon request. Please contact us for further information. info@praxistrainings-LMS.de.

* For groups: Sign up below info@praxistrainings-LMS.deto receive an individual offer.

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Why is AI useful in advanced QM training?

A person wearing blue gloves operates a measuring device for quality control on packaged cartons.

Many people already use AI for initial text drafts or brainstorming. However, in quality management, this is often insufficient: results must be... structured, verifiable, confidential and technically sound be.

In practice, problems often arise from unclear prompts, missing role logic, unsuitable tool selection, data privacy risks, or untested AI results. Especially with QM documents, training materials, reports or process descriptions, clear guidelines and professional control are needed.

In this training course, you will learn how to integrate AI more effectively into quality management processes. The goal is a professional, safe and practical use of AI in quality management, which simplifies routine tasks while simultaneously taking into account limits, data protection and audit steps.

About this training

All information about the AI in Quality Management training course – Advanced

In this 4-hour advanced course, participants learn not only to use AI in quality management on an ad-hoc basis, but also to manage tasks in a more structured, repeatable, and auditable manner. They develop advanced prompt templates using Markdown and simple JSON structures, classify assistant logic within its subject matter, and learn to systematically check AI outputs for quality, plausibility, and traceability. In a guided practical phase, participants create their own prompt template or assistant profile for a specific QM use case.

More professional prompting

They learn to formulate tasks, roles, format specifications and test criteria more clearly.

Own AI assistants

They are developing initial ideas for CustomGPTs or similar assistants for recurring QM tasks.

Better transfer into everyday QM practice

You will receive templates, tool tips and a 4-week plan for further work within the company.

Editor's Recommendation

Advanced use of AI in quality management does not mean more tools, but Improved task management, clear boundaries, expert review, and repeatable results.

Participants in our AI and QM training courses particularly appreciate the practical examples, the understandable classification, and the opportunity to test their own use cases.

4,9

five small yellow star symbols on a transparent background
98 % Recommendation

In short: This advanced AI in QM training course covers the following topics:

  • 1Prompt structure: Develop professional prompts with a clear role, task, context, and output format.
  • 2JSON & Markdown: Utilize structured output for analyses, reports, and QM documents.
  • 3CustomGPTs: Build your own AI assistants with roles, responsibilities, and format specifications.
  • 4Alternative tools: Classify Mistral agents and other more privacy-friendly approaches.
  • 5QM use cases: Test examples of process documentation, training materials, reports and checklists.
  • 6Creator Lab: Transferring your own QM idea into a mini AI system.
  • 7Data protection & limits: Consider confidentiality, tool selection, and technical review.
  • 8Transfer: Use templates, tool tips and a 4-week plan for further work.

Contents & Roadmap

Content and topics of your AI in QM training for advanced users.

The training includes a 4-hour live online training, Training materials as PDF handouts, practical examples, workshop elements and templates for prompts from the area of QM / QS.

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01

Phase 01

Advanced prompting as task control

  • Distinguishing between simple prompting and professional task control
  • Understanding prompts as repeatable work instructions for AI
  • Clearly define roles, goals, context, limitations, escalation limits, and review criteria.
  • Select suitable QM tasks for advanced prompt structures
  • Data protection, confidentiality and professional responsibility should be considered as firm guiding principles.

02

Phase 02

Developing structured prompt templates with Markdown and JSON

  • Use Markdown for clear work orders, tables, checklists, and draft reports.
  • Use simple JSON structures for standardized and repeatable output
  • Define input and output formats for typical QM tasks
  • Create prompts for recurring tasks as templates
  • Professionally review and refine templates as needed.
Yellow chat bubble on a dark blue square background

03

Phase 03

From prompt template to assistant logic

  • Classifying CustomGPTs and similar AI assistants from a professional perspective
  • Define role, scope of responsibilities, boundaries, knowledge base, and output formats
  • Translating recurring QM tasks into a simple wizard logic
  • Integrate test steps and exclusion criteria into the assistance logic
  • Create a compact assistant profile
Document-secured symbol in yellow on a dark blue square background

04

Phase 04

Quality assurance of AI expenditures in QM

  • Evaluate AI results using professional testing criteria
  • Check plausibility, completeness, traceability and conformity to standards.
  • Recognize typical errors, such as apparent precision, omissions, false assumptions, or inadmissible generalizations.
  • Improve results through targeted follow-up prompts
  • Make test steps documentable
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05

Phase 05

Application phase: From example to your own QM template

  • Select your own QM task or use a prepared scenario.
  • Build a prompt template with role, goal, context, output format, and test criteria.
  • Test, review, and specifically improve the result
  • Derive next steps for application in your own daily QM practice
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06

Phase 06

Completion, transfer into practice & certificate

  • Clarify open questions from the participants
  • Ensuring key quality criteria for AI work in QM
  • Classify templates and the 4-week transfer plan and derive next steps for your own daily QM practice.
  • Receive certificate of participation

Your trainers:

Your AI expert in QM Advanced

Benefit from practical experience in quality management, food safety, process documentation and the use of digital tools in everyday QM.

Portrait of coach Judith Magono with folded arms and a thoughtful look in front of a bright columned architecture.

EXPERT

Judith Magono

Trainer & Consultant

25+ years of experience

Judith Magono supports companies in implementing and further developing quality management systems – including operational and administrative support through AI and other digital tools. Her areas of expertise include process documentation, training materials, and reporting.

Jennifer, wearing a dark blazer and glasses, stands with her arms crossed in front of her chest in front of a light-colored wall.

OWNER

Jennifer Ziegler

Trainer & Consultant

20+ years of experience

Jennifer Ziegler is a trainer and consultant in the field of food safety. Her training courses are practically oriented and place particular emphasis on interaction, exchange, and the application of knowledge to everyday business operations.

Upcoming Events

Live online events 2026

Dates — including training materials, interactive exercises, templates and certificate.

November 13, 2026

On-line 9:00 AM – 1:00 PM Available

More dates to follow

On-line 9:00 AM – 1:00 PM

This is how it works

From registration to AI application — in four steps.

register

Choose a live online appointment. Registration takes less than 2 minutes.

preparation

You will receive the training handout in advance via email.

training

Theory and practice are closely intertwined.

Final test & certificate

Recognized certificate, possibly further documents for practical use.

All reviews

Verified reviews from former participants.

Data collected anonymously after completion of training — sorted by date.

FAQ

Frequently asked questions about our advanced AI in QM training

The training is aimed at people from QM, QS, HACCP, training, documentation and food safety who have already gained initial AI experience and would like to deepen their use in quality management.

Yes, basic experience with generative AI is helpful. This training is particularly suitable as an advanced course following the basic AI in quality management training.

Topics covered include professional prompting, JSON and Markdown structures, CustomGPTs, Mistral agents, local AI setups, data protection, QM use cases, and the Creator Lab.

Yes. Your own QM tasks or ideas can be addressed in the Creator Lab, provided they can be processed without confidential or personal data.

Yes. You will receive templates for AI applications and the creation of your own agents.

The training lasts approximately 4 hours. Hours.
Important: Ensure an interference-free environment and stable Internet access from the PC.

Yes. For companies, we also offer the training as in-house training by arrangement – online or on site, adapted to location, processes and questions.

Yes, you will receive one Certificate for successful participation in the course “AI in QM: Advanced”

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Live online

Next meeting: November 13th

450,00  plus VAT.

Combo offer

Combo offer

AI in QM: Book the combined basic and advanced course

The training AI in QM Fundamentals can be used together with the Advanced AI training in quality management This can be booked. You will receive two practical live online training sessions as a powerful package for the structured, safe and effective use of AI in quality management.

  • Two training courses in one package
  • Book a combined course on fundamentals, prompting, and advanced AI applications in quality management; multiple participants possible.
  • Discounted price instead of individual booking
Combo package
699 €
net plus VAT.
Book both training courses

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Ready to use AI more professionally in quality management?

Secure your spot — or let us design your in-house program.

We offer a free 15-minute consultation — and will tell you honestly whether this training is right for your company.

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If the booking form is blocked by your firewall, you can reach us at: 📩 E-mail: info@praxistrainings-LMS.de, 📞 Phone: +4951527800574