SAP Certified Associate – SAP Generative AI Developer — Lesson 1: SAP AI Core, Generative AI Hub, and Solution Architecture

Learning Objectives

• Explain how SAP AI Core, Generative AI Hub, and Solution Architecture supports responsible generative AI applications.
• Complete the workflow and produce a reviewable generative AI architecture and service readiness record.
• Evaluate the condition where the selected model endpoint is unavailable in the governed target environment and select a supported response.

Detailed Topics

• SAP AI Core: business purpose, responsible roles, and SAP objects that establish the operating scope.
• generative AI hub: configuration choices, master-data dependencies, and determination logic shaping the result.
• model access patterns: transaction flow, status behavior, integration effects, and reviewable operational evidence.
• solution architecture: control points, exception paths, testing needs, and release criteria protecting the outcome.

Instructor Demonstration

The instructor traces SAP AI Core, generative AI hub, model access patterns, solution architecture through the scenario, explaining navigation, decisions, dependencies, system responses, and the evidence retained in generative AI architecture and service readiness record. The walkthrough also investigates the condition where the selected model endpoint is unavailable in the governed target environment.

Hands-On Exercise

Complete a controlled activity covering SAP AI Core, generative AI hub, model access patterns, solution architecture and preserve the result in generative AI architecture and service readiness record.

1. Confirm the business objective, organizational scope, roles, source data, and expected SAP result.
2. Execute the workflow in sequence while capturing settings, transactions, messages, and observations.
3. Introduce the stated exception and isolate the earliest divergence from the expected behavior.
4. Correct or contain the issue, retest the affected path, and record the accountable owner.

Scenario Analysis

• Which SAP object, rule, record, or process step most strongly influences SAP AI Core, Generative AI Hub, and Solution Architecture?
• What evidence separates configuration, data, authorization, integration, and timing causes in this scenario?
• How should the generative AI architecture and service readiness record be approved, retained, monitored, and updated after handover?

Troubleshooting Guidance

Start at the earliest point where expected behavior differs from the observed result. Review process sequence, relevant data, configuration, authorization, integration, and timing as separate hypotheses. Treat “the selected model endpoint is unavailable in the governed target environment” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.

Validation Checklist

• Required roles, structures, data, settings, and dependencies for SAP AI Core, Generative AI Hub, and Solution Architecture are present.
• The generative AI architecture and service readiness record links each conclusion to objective and reviewable SAP evidence.
• Normal processing, the stated exception, integration behavior, and access boundaries were tested.
• Corrections, retest criteria, ownership, monitoring, documentation, and operational handover are complete.

Lesson Outcome

Learners can apply SAP AI Core, Generative AI Hub, and Solution Architecture, explain the resulting SAP behavior, and defend the outcome through generative AI architecture and service readiness record.