Prompt engineering: methods for optimizing AI output
The quality of AI communication stands or falls on the precision of its prompts. In everyday business practice, just a few words can often determine whether a large language model (LLM) delivers an excellent result or generates a useless response. Prompt engineering is therefore far more than just “writing commands”—it is the crucial interface for efficient human-AI collaboration. Those who do not master this key skill waste valuable time and squander the enormous potential of modern AI systems.
The key to success lies in systematically structuring your communication with AI. Learn how you can massively improve the quality of AI outputs through proven techniques and a deep understanding of how LLMs work. We’ll guide you from the basics all the way to complex reasoning strategies (step-by-step derivation), so that your use of AI is no longer based on chance but becomes a precise tool in your daily work.
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- Systematic methodology: you’ll learn the key principles of prompt engineering and understand why structured prompts are the foundation of your AI success.
- Advanced techniques: you’ll master approaches such as zero-shot, few-shot, and chain-of-thought prompting to precisely solve even complex tasks through step-by-step reasoning.
- Industry-specific best practices: you’ll receive concrete tips and application examples for various fields—from engineering and production to marketing and human resources.
- Risk awareness & efficiency: you’ll learn to avoid common pitfalls and identify risks early on when working with LLMs to ensure the safe and efficient use of AI in your organization.
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This training is designed for technical and operational staff in industry and business who want to use large language models (LLMs) efficiently in their daily work.
- Specialists in production, engineering, and technical fields
- Business analysts and department heads
- Employees in marketing, sales, and human resources
- Data and AI users without a deep focus on development
- Product owners and project managers specialising in AI
- Digitalization and innovation managers
- Teams that want to use AI tools systematically and productively
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- Format: webinar
- Duration: flexible
- Delivery: online or in-person
- Practical component: high, with examples and specific application scenarios
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The format can be customized to suit your organization’s specific needs—for example, by:
- Incorporating your specific use cases
- Adapting to your industry or project type
- Delving deeper into specific methods or tools
