SAP Certified - SAP Generative AI Developer
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.
What the exam covers
The blueprint areas to focus your preparation on.
Foundations of SAP Business AI & Large Language Models
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.
Prompt Engineering Fundamentals & Techniques
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.
The Generative AI Hub & Orchestration Service
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.
Prompt Development, Registry & Templates
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.
Building & Evaluating with the SAP Cloud SDK for AI
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.
Grounding, RAG & Document Grounding with Vector Search
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.
Recommended learning path
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
Hands-on prompt and model work — authoring and governing prompts via the Prompt Registry and templates, calling models through the SAP Cloud SDK for AI, tuning responses, and choosing a fitting model for the task.
Using Advanced AI Techniques with SAP's Generative AI Hub
Centers on grounding — anchoring model output in an organization's own trusted data so answers stay accurate and in context — via document grounding and vector embeddings in the SAP HANA vector engine, then practical steps to build and ship a grounded solution.
How to prepare
- 1Build small end-to-end solutions in the generative AI hub repeatedly — prompt, template, orchestration, grounding — so the full flow becomes automatic well before you face the single task-based activity.
- 2Study large language model fundamentals first: knowing where models excel and where they need guardrails helps you design prompts and grounding that hold up under real requirements.
- 3Practice prompt engineering deliberately — experiment with system, user, and assistant roles, and rehearse prompt hardening — since secure, well-structured prompts are central to the exam scope.
- 4Treat grounding as its own study block: practice document grounding, generate vector embeddings, and configure SAP HANA's vector engine so you can connect model outputs to trusted enterprise data reliably.
- 5Simulate the assessment under time pressure — complete a whole solution against a clock and review where you slowed down — to build the speed and accuracy the performance-based format rewards.
Practice C_AIG in the real format
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.
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Free C_AIG study guide (PDF)
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