Prompt Engineering · Munich

Prompt Engineering training in Munich

Vendor-neutral prompt engineering: roles, context, few-shot examples, prompt chains, prompt libraries and systematic quality checks.

All 45 Prompt Engineering courses are also available in Munich – in a centrally located training room or at your premises on request.

Whether you use ChatGPT, Claude, Copilot, Gemini or Le Chat, the quality of the output depends largely on how the task is framed. Prompt engineering is the skill of conveying goal, context, constraints and desired format to a language model so that it reliably produces usable results. In this vendor-neutral practical day you learn proven techniques that work across all mainstream AI assistants: defining roles and audiences, selecting relevant context, working with examples and breaking complex tasks down into traceable steps. You try out every technique directly on tasks from your own working day.

Munich is one of Europe’s leading technology and insurance hubs. Our training room is centrally located and only a few minutes from the main station by S-Bahn or U-Bahn – ideal for teams from industry, financial services, media and the city’s vibrant start-up scene.

Suggested dates – Munich

All dates are suggestions – your preferred date is always possible.

  • Tue, 24 November 2026 Munich Request
  • Tue, 1 December 2026 Munich Request
  • Thu, 10 December 2026 Munich Request
  • Thu, 7 January 2027 Munich Request
  • Fri, 22 January 2027 Munich Request
  • Fri, 29 January 2027 Munich Request

Core content of every Prompt Engineering course

Module 1 How language models process prompts
  • Core principles of language models: probabilities, context window, limitations
  • Why wording, order and examples change the result
  • What causes hallucinations and how prompts reduce them
  • Differences and common ground between mainstream AI assistants
Module 2 Building blocks of an effective prompt
  • Defining role, audience, task, context and output format
  • Stating constraints, exclusions and quality criteria
  • Structured input with sections, delimiters and tags
  • Asking the model to raise questions instead of making assumptions
Module 3 Advanced techniques
  • Zero-shot, one-shot and few-shot: setting style and structure with examples
  • Requesting step-by-step reasoning for complex tasks
  • Prompt chains: separating research, drafting, review and revision
  • Using change of perspective, counter-arguments and model self-critique
Module 4 Templates and prompt libraries
  • Creating reusable templates with placeholders and variables
  • Storing persistent instructions in projects, custom assistants and agents
  • Building, naming, maintaining and sharing a team prompt library
  • Documenting templates: purpose, inputs, expected output, owner
Module 5 Quality assurance and responsible use
  • Defining review criteria and scoring rubrics for AI output
  • Setting up test cases and systematically comparing and improving prompts
  • Verifying facts, figures and sources; establishing the four-eyes principle
  • Data protection, confidential content and transparency under GDPR and the EU AI Act

Prompt Engineering courses in Munich

Prompt Engineering · SalzburgPrompt Engineering · BerlinPrompt Engineering · AugsburgPrompt Engineering · HanoverPrompt Engineering · BremenPrompt Engineering · StuttgartPrompt Engineering · KaiserslauternPrompt Engineering · Online

Request without obligation

We will get back to you within one working day with a confirmation or an alternative suggestion.

Format *
Total €949 plus VAT