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Independent, reasoning-first practice for the SAP® C_AIG Generative AI Developer certification, built for the 2026 System-Based Assessment format.
Who it's for: Developers building AI-enabled applications on SAP's platform — along with data scientists and technical consultants moving into generative AI delivery — who want a recognized associate credential proving they can design prompts, orchestrate models, and ground responses in trusted enterprise data using SAP's generative AI hub.
The SAP® C_AIG certification verifies that you can build working generative AI solutions on SAP's platform rather than only describe the concepts. It centers on the generative AI hub inside SAP AI Launchpad, where you apply prompt engineering, manage reusable prompt templates through the Prompt Registry, orchestrate model workflows, and connect large language models to trusted company data so responses stay accurate and context-aware. Delivered as a System-Based Assessment, the exam asks you to complete a hands-on activity in a live environment, so it rewards applied skill with SAP AI Core, the SAP Cloud SDK for AI, and grounding techniques built on vector search rather than isolated recall.
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The blueprint areas to focus your preparation on.
Understanding how SAP Business AI creates value — automating processes, sharpening decisions, and accelerating innovation — alongside the core mechanics of large language models: what they do well, where they fall short, and how they are applied responsibly inside SAP environments from ideation through to a productized use case.
Applying prompt engineering to real use cases — the core principles, common prompting patterns, and the use of system, user, and assistant roles — plus securing and hardening prompts so they behave reliably and resist misuse in enterprise settings.
Navigating SAP's generative AI hub within SAP AI Launchpad: exploring its interface and applications, reaching hosted models, and using the Orchestration Service to coordinate multi-step AI workflows for business scenarios.
Designing, refining, and managing prompts at scale with the Prompt Registry and prompt templates, so solutions stay consistent and repeatable across many business applications rather than being rebuilt from scratch each time.
Integrating large language models into enterprise workflows through the SAP Cloud SDK for AI — calling orchestration services, driving model interactions programmatically, adding multi-modal input, and comparing prompt quality across several models to select the best fit.
Connecting large language models to an organization's trusted data using grounding techniques. This covers document grounding, the generation of vector embeddings, and SAP HANA's built-in vector engine, then configuring and deploying grounded solutions that return accurate, context-aware answers for genuine business needs.
The SAP learning-journey courses this certification draws on.
Discovering SAP Business AI
The value-story opener — shows how SAP Business AI helps organizations automate work, decide more intelligently, and innovate faster, framing why generative AI matters before the technical courses.
Navigating Large Language Models fundamentals and techniques for your use case
Introduces how large language models operate, their strengths and constraints, and how to apply them responsibly in SAP settings — covering prompt engineering, RAG and grounding, prompt optimization, and evaluating and testing an LLM use case.
Discovering SAP's Generative AI Hub
Presents the generative AI hub as the central, secure platform for enterprise AI — its interface and applications, access to advanced models, prompt management, and the Orchestration Service for intelligent workflows.
Solve your business problems using prompts and LLMs in SAP Generative AI Hub
A hands-on course on solving real problems with prompts and models — designing and managing prompts with the Prompt Registry and templates, integrating models via the SAP Cloud SDK for AI, refining responses, and selecting a suitable model.
Using Advanced AI Techniques with SAP's Generative AI Hub
Focuses on grounding — linking models to trusted organizational data for accurate, context-aware output — through document grounding, vector embeddings, and the SAP HANA vector engine, with practical steps for building and deploying grounded solutions.
Reading is step one — the 2026 System-Based Assessment rewards hands-on fluency. Train with original, performance-style scenarios and skill drills built for this exam.
