KI-Beratung: Prompt Engineering Training
Most AI tools deliver mediocre results – not because the AI is bad, but because the prompts are bad. Our prompt engineering training shows your team how to communicate with AI language models to consistently get great results. Practical exercises with your real tasks, not made-up examples.
Prompt Engineering Training challenges
The AI is rarely the problem; the prompts are. Your team uses ChatGPT but gets generic output that demands heavy rework, doesn't know how to make the tool genuinely useful for its own tasks, and shares no common know-how. The points below show why good AI results keep failing to show up in everyday work.
What matters for Prompt Engineering Training
The biggest lever in prompt engineering lies in supplying context, not in tricks. Whoever explicitly states role, goal, format and a few examples reliably gets better results than someone who asks a vague question and hopes for a good hit. This discipline is closer to precise writing than to programming, and that is exactly why anyone on the team can learn it.
A good training practices with the participants' real tasks, because otherwise a transfer problem arises. Knowledge acquired on invented examples is, in experience, hard to carry over to one's own work. If participants instead practice directly on their most frequent tasks, what they learn is applicable from the next day and settles in as a habit.
The principles should be taught across models, not for a single tool. Good prompting works similarly in ChatGPT, Claude and Gemini, and a team that understands the underlying logic stays independent of whichever tool the company adopts tomorrow. Training on one tool would waste this transferable skill.
A training only becomes lasting through what remains after the final day. A shared library of tested templates for the most frequent tasks turns one-time learning into a durable routine. Without this tangible result even the best training fizzles out, because under daily pressure the relapse into the old vague question is too convenient.
Why Prompts Are Critical
A language model is as good as the task you give it. Too vague and you get generic answers; too complex and the model gets confused. In training, your team learns the principles of good prompt design: clear goal, context, output format, and iterative refinement. No secret recipe – just a learnable craft.
Exercises with Real Tasks
We practice exclusively with tasks your team actually has: writing emails, summarizing texts, analyzing data, explaining code, drafting concepts. Every exercise is designed so participants can apply the technique immediately after the training – no transfer problem.
Advanced Techniques
Those who master the basics learn more advanced methods: chain-of-thought prompting, few-shot examples, role prompts, system prompts, and structured output formats. For technical teams, we also cover API-based prompting and prompt templates.
Lasting Application
After the training, participants have a personal prompt library with tested templates for their most common tasks. So what was learned doesn't fade away but becomes an immediately productive habit.
Good to know
Cross-Model
The principles apply to ChatGPT, Claude, Gemini, and other language models – your team isn't locked into one tool.
Real Tasks Only
We practice exclusively with actual tasks from your working life – no transfer problem, directly applicable knowledge.
Prompt Library
Every participant leaves with tested templates for their most common tasks – what was learned becomes a habit immediately.
Better prompts, better results
With us you don't get theoretical AI consulting, you get a partner who delivers. We combine strategic thinking with technical execution power – from the first process analysis to the productive AI system. Together we find the levers where AI has the biggest impact and implement solutions that pay off. Your processes and goals are always at the center.
Comprehensive know-how in AI strategy and implementation
Experience with leading AI platforms: OpenAI, Claude, ElevenLabs, CloudBot
Over 10 years of experience in software development and system integration
Interdisciplinary team of developers, strategists and UX experts
Sustainable AI solutions that strengthen your company long-term
READY TO TAKE YOUR PROCESSES TO THE NEXT LEVEL WITH AI?
Whether you want to automate individual workflows or develop a holistic AI strategy for your company – we'd love to meet you. An initial conversation is the foundation for smarter processes and real cost savings.
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Frequently asked questions