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SAP Learning

Guiding AI Driven Transformation as an SAP Enterprise Architect

via SAP Learning

Overview

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You’ll work with key SAP tools, including the Discovery Center, AI Feature Catalog, Architecture Center, SAP LeanIX, AI Agent Hub, and SAP Business Technology Platform AI Best Practices, to support early AI discovery and solution design. You’ll also learn how to assess Joule provisioning prerequisites, recognize common AI adoption blockers, and understand architectural requirements across identity, data, and application landscapes.   â€¯  Finally, you’ll learn how to position role-based AI value with customers and embed AI initiatives into broader transformation programs. By the end of this course, you’ll be able to translate SAP’s AI strategy into scalable architectures, guide customers through AI readiness, and steer agentic transformation across the enterprise.  

Syllabus

  • Shaping the SAP Business AI Strategy for the Enterprise Architect Role
    • Navigating the Existing SAP Business AI Learning Landscape
    • Recognizing the Purpose and Strategic Role of SAP Business AI for Enterprise Architects
    • Leveraging SAP Accelerators and Enablement Tools for AI-Driven Solution Design
    • Shaping the SAP Business AI Strategy for the Enterprise Architect Role
  • Understanding and Applying the SAP Business AI Reference Architecture
    • Introducing the SAP Business AI Reference Architecture
    • Interpreting the Different AI Foundation Components
    • Evaluating an End-User Workflow Example
    • Recognizing Commonly Experienced SAP Business AI Reference Architecture Questions and Challenges
    • Understanding and Applying the SAP Business AI Reference Architecture
  • Outlining Preparation and Enablement Foundational Elements
    • Recognizing Typical SAP Business AI Adoption and Provisioning Obstacles
    • Assessing the Preparation Elements for Joule Architecture Integration and Provisioning
    • Outlining Preparation and Enablement Foundational Elements
  • Designing Hybrid and Customized Architectures
    • Analyzing Essential Hybrid Architectures
    • Mastering the Hybrid Landscape
    • Architecting the Unified Semantic Layer - The Data Foundation
    • Evaluating AI Strategy, Architecture, and Interoperability
    • Designing Hybrid and Customized Architectures
  • Transitioning from AI Architecture to Business Transformation
    • Transitioning from AI Architecture to Agentic Transformation
    • Transitioning from AI Architecture to Business Transformation

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