AIG10 Solving Business Problems using SAP''s Generative AI Hub
Detalles del curso
— ID: AIG10_EN_Col2608
• Código: AIG10
• Idioma: Inglés
• Versión: 2608
• Versión de solución: Cross-Release Content
• Método de capacitación: autoaprendizaje
Descripción del curso
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
Acerca del curso
El curso incluye un manual completo en full color y alta calidad en PDF.
Descargo de responsabilidad
SAP, otros productos SAP y servicios mencionados aquí así como sus respectivos logos son marca registrada de SAP SE (o una compañía afiliada de SAP) en Alemania y otros países. Nuestra compañía no está afiliada con SAP SE ni con ninguna de sus compañías afiliadas incluyendo pero no limitada a: Sybase, Business Objects, Hybris, Ariba y SuccessFactors. Todos los otros nombres, marcas, logos, etc. son marcas o servicios registrados de sus respectivos propietarios.
