• Course

Navigating Large Language Models fundamentals and techniques for your use case

Content update in progress
This Course is currently being updated to align with the latest SAP product, strategy, and go-to-market announcements. Current content remains available during the update. Revised content will be published once the review is complete.

About this course

After completing this course,

  • You will understand the basic architecture and capabilities of LLMs, recognize their potential and risks in enterprise settings, and explain SAP’s strategy for relevant, reliable, and responsible AI.
  • You’ll be able to identify suitable business problems for LLM integration, outline the steps from ideation to deployment, and apply prompt engineering techniques to guide model outputs.
  • You will learn to secure prompts, mitigate risks like prompt injections, and use grounding and RAG methods to anchor AI responses in factual business data.
  • It will help you evaluate LLM applications using both human feedback and automated metrics and introduce you to MLOps practices for continuous improvement.
  • By the end, you’ll be equipped to design, implement, and maintain effective LLM solutions that deliver real value to your organization.

Roles, products and skills

Data ScientistDeveloperSAP AI Core

Appears in

Content update in progress
This Course is currently being updated to align with the latest SAP product, strategy, and go-to-market announcements. Current content remains available during the update. Revised content will be published once the review is complete.

Available in


Roles, products and skills

Data ScientistDeveloperSAP AI Core

Appears in