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Academy · AI in SAP · 200 Practitioner

Generative AI Hub in SAP AI Core: Models, Orchestration, Prompt Registry and Content Filtering

The developer foundation for custom generative AI on SAP's platform, checked against SAP Help in October 2026: SAP AI Core, SAP AI Launchpad and the generative AI hub; service plans and resource groups; the model catalog (Azure OpenAI, AWS Bedrock including Anthropic Claude, Vertex AI, SAP-hosted models, SAP-ABAP-1 and SAP-RPT) with versioning and deprecation; the orchestration service V2 with templating, grounding, data masking, content filtering, translation and fallbacks; the prompt registry and prompt optimization; SAP Cloud SDK for AI, CAP and the ABAP AI SDK; and how generative AI is metered, limited and budgeted.

  • 58 minutes
  • 7 lessons + quiz
  • BTP & Extension Developer, Solution Architect, ABAP / RAP Developer, Integration Specialist
Start the course
  1. 01SAP AI Core, SAP AI Launchpad and the generative AI hub8 min
  2. 02Models and deployments9 min
  3. 03The orchestration service8 min
  4. 04Grounding, data masking and content filtering in depth9 min
  5. 05Prompt templates and the prompt registry8 min
  6. 06Calling the hub from code: SAP Cloud SDK for AI, CAP and ABAP8 min
  7. 07Cost and limits8 min
  8. QZCourse quiz12 questions

What you’ll be able to do

  • Explain SAP AI Core, SAP AI Launchpad and the generative AI hub, their service plans and resource groups
  • Select a model, choose between foundation-models and orchestration, and manage versions and deprecation dates
  • Build an orchestration pipeline with templating, grounding, data masking, content filtering and fallbacks
  • Manage prompts with the prompt registry, test changes and use prompt optimization appropriately
  • Call the hub from SAP Cloud SDK for AI, CAP or ABAP (ABAP AI SDK with ISLM)
  • Estimate cost from tokens, GenAI tokens and capacity units, and plan for quotas and rate limits

Sources and further reading