
The agenda for this session included:
Introduction to SAP Generative AI and knowledge grounding
Understand document grounding for content generation
Create and configure a knowledge base
Work with document indexing and embeddings
Use orchestration service with grounded content
Explore supported repositories and search integration
Retrieve relevant information for AI responses
The agenda for this session included:
Understand input and output content filters
Configure orchestration service filtering options
Prevent harmful requests and responses
Work with prompt processing and model requests
Explore translation and text processing
Test filtering behavior with different scenarios
Review supported models and configurations
The agenda for this session included:
Introduction to multimodal AI capabilities
Build applications using text, image, audio, and video
Create intelligent web-based AI applications
Generate multimodal responses using AI models
Understand context-aware response generation
Explore practical multimodal implementation
Review business use case scenarios
The agenda for this session included:
Evaluate AI model responses for accuracy
Classify outputs using different categories
Understand sentiment and urgency analysis
Explore prompt techniques and permutations
Compare model behavior across scenarios
Review metaprogramming concepts for prompts
Test and refine AI model performance
The agenda for this session included:
Understand prompt engineering optimization
Automate prompt generation and refinement
Improve AI application development lifecycle
Manage resources for scalable AI solutions
Build adaptable multi-modal AI applications
Streamline integration for custom solutions
Optimize performance and future readiness
This course contains the use of artificial intelligence. The SAP Certified Generative AI Developer Training course is designed to help developers, SAP consultants, AI engineers, and technical professionals build enterprise-grade Generative AI applications using SAP Business AI and SAP Generative AI Hub. Aligned with the certification curriculum, this course provides practical knowledge of Large Language Models (LLMs), prompt engineering, orchestration services, retrieval techniques, and AI application development within the SAP ecosystem.
The course begins with an introduction to SAP Business AI and the evolution of Artificial Intelligence, helping learners understand SAP's AI strategy, Business AI portfolio, and enterprise use cases. You will gain a strong foundation in Large Language Models (LLMs) and learn how SAP applies Generative AI to solve real-world business challenges.
A major focus of the course is on prompt engineering and LLM optimization. You will learn prompt design principles, prompt techniques, system, user, and assistant roles, prompt hardening, and methods for improving AI responses through optimization and Retrieval-Augmented Generation (RAG). The course also covers evaluating AI models and selecting the right LLM for different business scenarios.
The training further explores SAP Generative AI Hub, including the Generative AI Hub interface, orchestration services, prompt registry, prompt templates, and SAP Cloud SDK for AI. Through hands-on exercises, learners will develop AI prompts, orchestrate workflows, implement evaluation functions, and integrate enterprise AI capabilities into business applications.
Advanced modules cover document grounding, multi-modal prompt engineering, orchestration workflows, model evaluation, and advanced grounding techniques. Practical labs reinforce each concept, enabling learners to build, test, and optimize AI-powered enterprise solutions using SAP's latest AI development framework.
By the end of this course, learners will have the skills required to develop, optimize, and deploy Generative AI applications using SAP Generative AI Hub while preparing for SAP Generative AI Developer certification.