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Academy · AI in SAP · 100 Foundations

Prompt Engineering for SAP Consultants: Better Results from Joule and General-Purpose LLMs

Practical prompting for SAP work, based on the prompt-engineering guides Anthropic, OpenAI and Google publish for their models. Learners structure prompts with role, task, context, constraints, examples and format; draft a test case from a process description, explain an IDoc error and summarize a transport list; verify answers against SAP Help, the Simplification List, the Fiori apps reference library and the system; and apply data-protection rules: what never goes into a prompt, how to minimize and mask, and when to use Joule or a governed generative AI hub app instead.

  • 55 minutes
  • 6 lessons + quiz
  • Key User, Process Owner, Integration Specialist, Tester / Test Analyst, Functional Consultant
Start the course
  1. 01How LLMs answer SAP questions10 min
  2. 02A prompt pattern for SAP work10 min
  3. 03Writing a test case from a process description9 min
  4. 04Explaining an IDoc error and summarizing a transport list9 min
  5. 05Verifying the answer9 min
  6. 06Data you must not paste8 min
  7. QZCourse quiz12 questions

What you’ll be able to do

  • Structure prompts with role, task, context, constraints, examples and output format
  • Write prompts for common SAP tasks: test cases from process descriptions, IDoc error explanations and transport-list summaries
  • Use examples and saved templates to get consistent output across a team
  • Verify AI answers against SAP Help, the Simplification List, the Fiori apps reference library and the system
  • Apply data-protection rules when prompting with SAP data: never-paste data, minimization, masking and approved tools

Sources and further reading