Beginners
For people who want to understand generative AI better and become more confident using ChatGPT, Copilot or similar tools.
02AI Workshops & Training
← Back to the offeringMy AI workshops aren't about abstract visions of the future, but about concrete application. Participants learn how generative AI works, where it can help in everyday work and where you need to look more closely.
For teams, departments and organizations that don't just want AI explained to them, but want to be able to work with it themselves afterward.
Many people have already tried generative AI. Even so, it often stays unclear how to write good prompts, judge results, structure your own tasks or integrate AI sensibly into existing processes.
That's exactly where the workshops come in: understandable for beginners, practical for everyday work and nuanced enough for organizations that take data protection, governance and quality seriously.
For people who want to understand generative AI better and become more confident using ChatGPT, Copilot or similar tools.
For teams in marketing, HR, communication, administration, sales, IT, product management or back office who want to apply AI to their own tasks.
For companies that want to build AI skills: practical, comprehensible and compatible with internal rules, data protection and compliance.
A good AI workshop thrives on participants getting hands-on themselves. That's why short explanations, live demos, exercises and reflection alternate.
What generative AI can do, how language models work and why good results don't happen by chance.
How to formulate tasks better, use roles, context and examples and improve results systematically.
Research, writing, summaries, idea development, analysis, structuring, communication and first automation ideas.
How to check AI results, spot hallucinations and realistically judge when human expertise remains indispensable.
Which information doesn't belong in public tools and how to use AI responsibly in organizations.
In the end there should be more than knowledge: a concrete next step for your own work.
The workshops can be run as a compact, half-day or full-day session. Content and depth are adapted to the audience, prior knowledge and organization.
Ideal as an entry point for teams or departments. An overview, first exercises and examples from day-to-day work.
More time for exercises, discussion and applying it to your own tasks. A good fit when a team wants to try out AI systematically.
Intensive work with concrete use cases, group exercises and transfer into the organization. Especially suitable when interest should turn into real application.
A good AI workshop doesn't need months of preparation. But it should fit the audience, their prior knowledge and the organization's reality of work.
We clarify the audience, prior knowledge, typical tasks, desired depth and organizational conditions. From that follows which exercises and examples make sense.
The workshop is tuned to the participants: more basics, more concrete application, more governance, more exercises or more transfer, depending on what's needed.
Short explanations, live demos, exercises and reflection alternate. Participants shouldn't just listen, but try things out themselves.
In the end there are concrete use cases, better ways of working and next steps the team can keep working with day to day.
For more than 25 years I've worked where technology, digital products and the reality of work meet. For 15 years I ran an online marketing agency and, together with my team, delivered hundreds of digital projects: websites, apps, platforms, campaigns and custom solutions.
My role was often the interface between clients, departments and development. I know the questions of people who want to use technology without getting lost in technical details. And I know the demands of teams that have to turn ideas into working solutions.
I use generative AI every day for research, writing, analysis, prototypes, automation and agentic working. So in workshops it's not about putting on a show, but about practical relevance: What's possible? What makes sense? What needs to be checked? And how can a team keep going concretely on its next workday?
Through my work in product development and product management at Dolphin Technologies, as well as AI formats with banks, I also know regulated business environments where data protection, governance, compliance and internal guardrails have to be considered.
The team understands how generative AI works and why it has to be used differently than classic software.
They learn to write better prompts, check results and avoid typical mistakes.
The workshop translates AI not into buzzwords, but into comprehensible ways to apply it.
Alongside opportunities, limits, risks and organizational questions are clearly named too.
Yes. The content is built so that people with no prior AI knowledge can follow well. At the same time, examples and exercises can be chosen so that more advanced participants benefit too.
Both are possible. For getting started, prepared examples are often helpful. The workshop becomes even more effective when typical tasks, documents or questions from the participants' everyday work can be brought in.
That depends on the organization. Options include freely available AI tools, ChatGPT, Claude, Microsoft Copilot or internal solutions. What's decisive is which tools are permitted and usable within the company.
Confidential information doesn't belong in public AI tools. The workshop clearly addresses which data is suitable, which isn't, and how to use AI responsibly in a corporate context.
Usually a short preliminary conversation about audience, prior knowledge, desired focus areas and conditions is enough. If you want to work with your own examples, typical tasks or anonymized materials can be gathered in advance.
For events and leaders where AI should first be framed clearly, before a team starts working with it hands-on.
03For people without a programming background who want to build small tools, prototypes and automations with AI.
04For organizations that want to introduce AI more systematically, prioritize use cases or build internal enablement formats.
Whether a compact introduction, a half-day training or an intensive workshop: I develop the format to fit the audience, prior knowledge and organization, so your team can keep working with it afterward.