Training & Workshops
AI knowledge your team actually puts to use
Hands-on workshops and training around artificial intelligence, tailored to your team's level of knowledge and goals. No slide marathon, but hands-on learning built on your own use cases.
Starting point
Why invest in AI literacy now?
AI tools evolve faster than most teams can learn. Whether a company benefits is rarely decided by the technology, but by the knowledge to use it well.
Pace of development
New models, new tools, new possibilities every week. Solid training provides orientation and separates substance from hype.
Productivity in daily work
Email, research, documentation or code: teams that use AI tools with confidence save time every day, across all departments.
AI literacy as an obligation
Article 4 of the EU AI Act has required companies that use AI to ensure sufficient AI literacy among their employees since February 2025. A training course is the pragmatic first step.
Formats
Which workshop fits your team?
From a compact overview for decision-makers to a technical deep dive: each format is adapted to your team's prior knowledge, industry and goals.
AI Fundamentals for Decision-Makers
What can AI really do today, and what can it not do (yet)? A compact overview of technologies, use cases and limits so you can make informed decisions. No jargon, with examples from real projects.
Topics include
- How LLMs and similar models work, explained clearly
- Use cases and limits for mid-sized companies
- Costs, data protection and the EU AI Act at a glance
- First steps: from pilot project to AI strategy
Prompt Engineering in Practice
Hands-on training for productive work with ChatGPT, Claude and similar tools. Your team learns to write precise prompts, evaluate results critically and integrate AI tools safely into everyday work.
Topics include
- Prompt techniques: from roles to few-shot
- Typical mistakes and how to avoid them
- Handling sensitive data and hallucinations
- Exercises based on use cases from your daily work
Technical Deep Dive: LLMs, RAG & Agents
For teams that want to integrate AI themselves: the architecture and inner workings of modern language models, RAG systems and AI agents, with live coding and code examples to take home.
Topics include
- Transformers, embeddings and vector databases
- RAG pipelines: from document to knowledge base
- Tool use, agents and orchestration
- Evaluation, security and operations
Custom In-House Training
Your needs do not fit any of these formats? I design a training course around your processes, data and tools, from a computer vision primer to multi-day AI upskilling for specialist departments.
Topics include
- Content and depth tailored to your needs
- Multiple modules can be combined
- On request with your own data and systems
- Follow-up sessions to go deeper
Process
From first conversation to workshop
Every training course starts with listening, so the content fits your team and not the other way around.
Free initial consultation
We clarify goals, prior knowledge and expectations in about 30 minutes. No obligation, via video call.
Tailored concept
I put together content, exercises and examples, matched to your industry and your team's level of knowledge.
Delivery
An interactive workshop at your site or remote, with live demos, exercises and room for your questions.
Materials & follow-up
All materials and exercises to review afterwards, with an optional follow-up session for open questions.
Approach
No slide marathon, hands-on instead
As a researcher I work every day with the methods I teach. You can tell this closeness to practice in my workshops.
Current knowledge from research
Content at the state of the art, straight from day-to-day research and project work instead of yesterday's textbook.
Your use cases as training material
We practice on examples from your everyday work. What you learn stays concrete and is immediately applicable.
Accessible at every level
From beginners to developer teams: I meet every group where it stands, without unnecessary jargon.
Honest assessment
I also show where AI reaches its limits. Your team learns to judge possibilities realistically instead of chasing hype.
Location
Remote or on site at your company, hybrid by arrangement.
Duration
From half a day to multi-day training, depending on format and depth.
Group size
From one-on-one coaching to a whole department. Interactive formats work best in small groups.
Materials
Slides, exercises and code examples are shared with all participants afterwards.
Questions
Frequently asked questions
No. Each format is adapted to the participants' level, from complete newcomers to experienced developer teams. In the initial consultation we clarify together where your team stands.
Both work well. Hands-on formats benefit from direct exchange on site, while compact overview formats work very well remotely. I am happy to advise you on what makes sense for your plans.
That depends on the format, duration and preparation effort. After the free initial consultation you receive a transparent fixed-price quote with no hidden costs.
Absolutely, this is encouraged. The best results come from practicing on real use cases from your company. Sensitive data is of course treated confidentially.
Since I offer training alongside my research work at Fraunhofer IOSB, I usually plan dates a few weeks in advance. Just get in touch and we will find a date that works for you.
Yes. All slides, exercises and code examples are available to participants after the workshop, for review and further work.
Ready to get your team up to speed on AI?
Tell me in a free initial consultation where your team stands and where you want it to go. I will then suggest the format that fits. No obligation and no jargon.
Request a workshop