Generative AI · Kaiserslautern

Generative AI training in Kaiserslautern

Vendor-neutral, hands-on day: how language models work, where they go wrong and how to roll out AI successfully in your team.

All 45 Generative AI courses are also available in Kaiserslautern – in a centrally located training room or at your premises on request.

Generative AI has reached most organisations, yet teams often lack a shared understanding of what language models can actually do and where their limits lie. In this vendor-neutral course you will learn how large language models generate text, why they hallucinate and how careful prompting, context and source checking lead to reliable results. Rather than relying on any provider's marketing claims, you will work with transparent criteria that help you compare tools and judge their fit for your own tasks.

Kaiserslautern is a renowned centre for computer science and AI research with a university and research institutes. Our training room gives teams from the Palatinate, Saarland and the Rhine-Neckar region easy access to hands-on AI training.

Suggested dates – Kaiserslautern

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

  • Tue, 24 November 2026 Kaiserslautern Request
  • Fri, 11 December 2026 Kaiserslautern Request
  • Fri, 18 December 2026 Kaiserslautern Request
  • Tue, 12 January 2027 Kaiserslautern Request
  • Fri, 29 January 2027 Kaiserslautern Request
  • Fri, 12 February 2027 Kaiserslautern Request

Core content of every Generative AI course

Module 1 How large language models work
  • Tokens, context windows and probabilities: what happens when a model generates text
  • Training knowledge versus web search versus your own documents (RAG)
  • Text, images, audio and code: what multimodal models can do today
  • Realistically assessing typical strengths and weaknesses in office work
Module 2 Spotting hallucinations and getting reliable output
  • Why models produce plausible-sounding errors and when the risk increases
  • Prompting techniques: role, context, examples, output format and step-by-step instructions
  • Requesting sources, cross-checking facts and introducing a four-eyes principle
  • Scoping tasks so that AI assists rather than decides
Module 3 Choosing tools without vendor bias
  • Overview of chat assistants, AI built into office suites and specialist tools
  • Criteria: data processing, hosting location, admin features, integrations and pricing model
  • Enterprise licences, API access and locally hosted open-source models compared
  • Building a simple scoring matrix for your own tool selection
Module 4 Identifying use cases in your field
  • Systematically capturing recurring writing, research and analysis tasks
  • Rating benefit, risk and implementation effort for each use case
  • Distinguishing quick wins from strategic initiatives
  • Creating a prioritised use-case backlog for your team
Module 5 Rolling out generative AI in your team
  • Usage rules: which data may go into which tool and who signs off results
  • Building and maintaining a shared prompt library and templates
  • AI champions, training formats and peer exchanges to embed new habits
  • Measuring success: documenting time saved, quality and user satisfaction

Generative AI courses in Kaiserslautern

Generative AI · MunichGenerative AI · SalzburgGenerative AI · BerlinGenerative AI · AugsburgGenerative AI · HanoverGenerative AI · BremenGenerative AI · StuttgartGenerative AI · Online

Request without obligation

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Total €949 plus VAT