AIG10 Solving Business Problems using SAP''s Generative AI Hub
Course details
— ID: AIG10_EN_Col2608
• Code: AIG10
• Language: English
• Version: 2608
• Solution release: Cross-Release Content
• Training method: self-study
Description
Software:
* SAP AI Core
* SAP AI Launchpad
Course Content
:
* Describing Large Language Models
* Discovering SAP`s Generative AI Hub
* Discovering the Orchestration Service
* Getting Started: Access, Deployment, and the Product Lifecycle
* Developing and Managing Prompts
* Refining Prompts with Engineering Techniques
* Designing Workflows with the Orchestration Service
* Leveraging SAP Cloud SDK for AI
* Improving LLM Performance
* Using Advanced AI Techniques — Grounding
* Evaluating and Selecting Large Language Models
Course Goals
:
* Describe how large language models work, including key capabilities, limitations, and enterprise considerations
* Identify the SAP`s AI Services and Models and explain the role of the Generative AI Hub within it
* Navigate the Generative AI Hub interface — Model Library, Chat, Prompt Editor, Prompt Optimizer, Prompt Management, Grounding Management, and Orchestration
* Identify the Orchestration Service and explain how it serves as the deployment and workflow layer for LLMs in SAP
* Access the Generative AI Hub by provisioning SAP AI Core, configuring resource groups, and deploying LLMs
* Develop and iterate enterprise prompts using the Prompt Editor, including JSON-structured output for application integration
* Manage prompts at scale using the Prompt Registry — templates, versioning, variables, and prompt hardening
* Apply prompt engineering techniques — one-shot, few-shot, meta prompting, and system/user/assistant roles
* Define key security considerations in prompt engineering and apply prompt hardening methods
* Design AI workflows using the Orchestration Service, combining prompt templates, data masking, and content filtering
* Use the SAP Cloud SDK for AI to connect applications programmatically to the Generative AI Hub and Orchestration Services
* Explain retrieval-augmented generation and implement document grounding using the SAP HANA Vector Engine, including multi-repository patterns
* Use the Prompt Optimizer to automatically test and refine prompts against defined quality criteria
* Evaluate and select large language models using benchmark data, cost, and context window criteria from the Model Library
* Apply SAP AI Core Custom Evaluation to benchmark LLMs against custom test datasets and scoring criteria
* Identify SAP`s own foundation models — SAP-RPT-1 and SAP-ABAP-1 — and determine when to use tabular AI instead of generative language models
About the course
The course includes a manual in full color and high quality in PDF format.
Disclaimer
SAP, other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Our Company is not affiliated to SAP SE or any of its affiliated companies including but not limited to: Sybase, Business Objects, Hybris, Ariba and SuccessFactors. All other names, brands, logos, etc. are registered trade or service marks of their respective owners.
