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SAP Generative AI Hub Enterprise Training
SAP Generative AI Hub Enterprise Training
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 3h 57m | Size: 2.56 GB
Master SAP Generative AI Hub with LLM orchestration, prompt engineering, RAG, and AI governance.
What you'll learn
Understand SAP Generative AI Hub architecture and enterprise AI strategy.
Learn how SAP AI Foundation supports governed enterprise AI adoption.
Configure SAP Generative AI Hub within SAP BTP environments.
Manage tenants, resource groups, and AI developer access controls.
Implement Role-Based Access Control for enterprise AI governance.
Evaluate multiple LLM providers for enterprise business use cases.
Compare OpenAI, Anthropic, Gemini, Mistral, and SAP-hosted models.
Analyze token usage, latency, and cost efficiency across models.
Build AI evaluation workflows using SAP Cloud SDK for AI.
Compare zero-shot and few-shot prompting performance.
Design enterprise-grade prompt templates for business scenarios.
Create reusable prompts using SAP Prompt Registry.
Track, version, and roll back prompt iterations effectively.
Integrate prompt workflows into CI/CD pipelines.
Build orchestration workflows using SAP orchestration services.
Dynamically consume prompt templates in orchestration pipelines.
Implement Retrieval-Augmented Generation using SAP HANA Cloud.
Connect enterprise data sources to reduce AI hallucinations.
Configure content filtering and prompt injection protection.
Apply PII masking and governance policies for enterprise AI security.
Monitor token usage, audit logs, and compliance
Requirements
.Build secure end-to-end enterprise AI workflows using SAP tools.
Requirements
Basic understanding of SAP BTP concepts is helpful.
Familiarity with APIs or REST services is beneficial.
Basic knowledge of AI or Generative AI concepts is useful.
Understanding of cloud computing fundamentals is an advantage.
Basic Python programming knowledge is recommended.
Familiarity with SAP AI Core or AI Launchpad is helpful.
No prior SAP Generative AI Hub experience required.
Access to SAP BTP trial or enterprise account is recommended.
Interest in enterprise AI governance and orchestration.
Basic understanding of prompt engineering concepts is beneficial.
Willingness to work on hands-on enterprise AI labs.
Analytical mindset for evaluating AI model performance.
Motivation to build expertise in SAP AI technologies.
Description
TheSAP Generative AI Hub Training course is designed to help professionals master enterprise-grade Generative AI implementation using SAP Business Technology Platform (BTP). This hands-on program focuses on integrating Large Language Models (LLMs), orchestration services, prompt engineering, Retrieval-Augmented Generation (RAG), and enterprise AI governance within SAP environments.
The training begins with thefoundations of SAP Generative AI Hub, where learners understand the role of Generative AI in enterprise transformation and how SAP enables governed AI access through SAP BTP and AI Launchpad. You will learn how to provision AI environments, configure resource groups, manage tenants, and implement Role-Based Access Control (RBAC) for secure enterprise AI operations .
A major focus of the course is onLLM selection and benchmarking, where you will evaluate models from providers such as OpenAI, Anthropic, Gemini, Mistral, and Meta. You will also learn to use the SAP Cloud SDK to compare model performance, latency, token usage, and cost efficiency for business use cases.
The course further exploresPrompt Engineering and Prompt Registry management, including designing reusable enterprise prompts, version control, collaboration, and CI/CD integration. Advanced modules focus onorchestration services and RAG integration, where you will connect SAP HANA Cloud vector engines to LLM workflows to ground responses with enterprise data and reduce hallucinations.
Additionally, the training coversenterprise AI governance, security, and compliance, including content filtering, prompt injection prevention, token monitoring, audit logging, PII masking, and SOC 2/NIST compliance controls.
By the end of this course, learners will be able to architect, orchestrate, secure, and govern enterprise Generative AI solutions using SAP Generative AI Hub.
Who this course is for
SAP BTP developers building enterprise AI applications.
AI engineers implementing LLM workflows in SAP environments.
SAP consultants exploring Generative AI and orchestration services.
Developers working with SAP AI Core and AI Launchpad tools.
Technical architects designing AI-driven enterprise solutions.
Professionals implementing Retrieval-Augmented Generation workflows.
SAP innovation teams exploring enterprise AI governance.
Data engineers integrating enterprise data with LLMs.
DevOps professionals managing AI deployment and monitoring.
Security professionals implementing AI governance and compliance.
Developers building prompt engineering and orchestration pipelines.
SAP professionals transitioning into enterprise AI consulting roles.
Students aiming to build careers in SAP AI technologies.
Organizations training teams on SAP Generative AI Hub adoption.
Anyone interested in enterprise AI workflows using SAP BTP.
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