AI in practice for calibration laboratories – with real-world use cases
Two-day practical seminar for companies, laboratories and technical users: Understanding, evaluating and using AI in practice – from prompting and GPTs to simple agents and projects, to apps, automation and other AI models for data, images and documents.
Description
Understanding, classifying, and applying AI in everyday laboratory work
This seminar focuses on understanding and using AI in a way that makes it practically applicable to your field. Over two days, you will learn how AI platforms, models, assistants, GPTs, projects, simple agents, local LLMs, and small AI apps work, where their limitations lie, and how they can be specifically used for laboratory work, documentation, reporting, analysis, and internal processes.
- Don't just try out AI, but understand, evaluate and apply it yourself
- Gain practical experience with models, assistants, GPTs, projects, agents, apps and local LLMs.
- Develop concrete application possibilities for laboratory, documentation, reporting, evaluation, automation and internal processes.
- Gain confidence in dealing with opportunities, limitations, risks and sources of error
Who is this seminar for?
For laboratories and technical users who really want to use AI
This seminar is aimed at companies, laboratories, and technical users who not only want to learn about AI but also apply it practically and meaningfully in their own work environment. Programming skills are not required.
Calibration and testing laboratories
For laboratories that want to use AI for workflows, evaluation, research, documentation or internal support.
Laboratory management and technical responsibility
For those responsible for assessing the opportunities, limitations, and sensible implementation paths of AI in the company.
Quality management and documentation
For users who want to use AI in the areas of documentation, reporting, analysis and standardized processes.
Process owner
Decision-makers and employees who want to use their own GPTs, projects, simple agents or small AI apps for recurring tasks.
What can you do next?
Using AI strategically rather than randomly
After the seminar, you will be better able to assess AI and apply it effectively. The goal is for you not only to be able to talk about AI, but also to know how to productively structure AI platforms, develop your own solutions, and identify meaningful use cases in everyday laboratory work.
- Selecting suitable AI models for specific tasks
- Achieve good results instead of random answers
- Build your own assistants, GPTs, and simple agents
- Structuring projects meaningfully in AI platforms and filling them with context
- Create small AI apps and prototypes for internal processes
- A meaningful distinction between cloud AI and local AI
- Install and use local LLMs
- Use AI for documentation, reporting, analysis, research and data preparation
- Classify non-LLM models such as image, audio, classification, and prediction models.
- Identifying risks, sources of error, and limitations
- Implement the first concrete AI applications within your own company
seminar topics
From basics to custom AI solutions
The topics are structured as practical modules: understand, try out, evaluate and apply to your own laboratory and company processes.
Module 1: AI Fundamentals and Model Landscape
- Understanding AI models and selecting them correctly for specific tasks
- Differences between chatbots, assistants, GPTs, agents and apps
- LLMs compared to other AI models: image analysis, language, classification, prediction, anomaly detection and data models
- Assess the strengths, limitations, and typical sources of error of AI models
Module 2: Using AI platforms productively
- Using AI effectively in business and identifying suitable use cases
- Create projects, organize context, and work with your own data, documents, and examples.
- Working with prompts, roles, files, templates, and reusable workflows
- Avoid typical mistakes, hallucinations, and unclear answers
Module 3: Creating your own GPTs and wizards
- Create your own GPTs or assistants for recurring laboratory and office tasks.
- Define instructions, knowledge base, sample tasks and output formats effectively.
- Build assistants for documentation, test reports, email drafts, research, and internal help.
- Quality control: when an assistant provides reliable help and when human oversight remains necessary.
Module 4: Simple Agents and Automation
- What distinguishes agents from normal chats: goals, intermediate steps, tools, and follow-up questions.
- Build simple agents for research, document review, task lists, data preparation, or report drafting.
- Comparing cloud agents and on-premises agents
- Setting sensible limits: permissions, checkpoints, data protection and traceability
Module 5: AI Apps and Practical Prototypes
- Create small AI apps for internal processes – even without extensive programming knowledge
- Combine forms, uploads, evaluations and structured outputs into simple workflows
- Examples: Document check, offer or report draft, measurement data summary, knowledge assessment
- From idea to usable prototype: requirements, test data, quality assurance and small-scale rollout
Module 6: Local LLMs, Data Protection and AI in Everyday Laboratory Practice
- Install and use local LLMs
- Weighing up when cloud AI makes sense and when local AI is a better fit.
- Using AI in everyday laboratory work: reporting, documentation, analysis, research, evaluation and MET/CAL® contexts
- Data protection, security, responsibilities and limits when using AI in companies
technique during the seminar
Individual PC for each participant
Each participant has their own PC available during the seminar. This allows them to directly follow along with the content and carry out practical exercises themselves – from working with AI platforms to developing their own advanced GPTs, agents, and small app prototypes.
Suitable for
Quickly grasped topic chips
Appointments
Upcoming events 2026
| Appointment | Days | Location |
|---|---|---|
| 28.07.2026 | 2 | Würzburg |
| 08.09.2026 | 2 | Würzburg |
Your seminar leader
Mike Stotz
Maik Stotz has been intensively involved with the use of artificial intelligence in companies and calibration laboratories since 2025. He develops practical solutions for automation and support in everyday work. Since 2001, he has worked freelance, supporting companies with consulting, seminars, and customized software solutions.
seminar document
Printed materials for everyday laboratory use
Because reference is important in everyday laboratory work, all seminar participants receive printed seminar materials. These are used throughout the seminar.
Cancellation
- Cancellations must be made in writing.
- Cancellations are free of charge up to two weeks before the event begins.
- After that, just as in the case of no-show, the full course fee is due.
- Alternatively, a substitute participant can be registered.
- The organizer reserves the right to cancel a seminar due to insufficient number of participants or for reasons beyond their control.
- In these cases, participants will be notified immediately. Seminar fees already paid will be refunded; no further claims will be accepted.
Request a free consultation or quote now
Telephone: 06061 – 967 444 · Email: maik.stotz@stotz-software.de
