SAP Business AI Fundamentals

AI-Powered SAP: From Data to Decision in the Intelligent Enterprise

What you'll learn
- Understand the difference between Artificial Intelligence and Business AI within the SAP ecosystem.
- Explore SAP’s Intelligent Enterprise strategy and how AI powers automation, optimization, and decision intelligence.
- Distinguish between Embedded AI, Generative AI, and AI Agents with practical examples.
- Learn about SAP’s Unified AI Operating System and how it integrates intelligence across all business applications.
- Examine 230+ prebuilt AI scenarios and the roadmap to 400+ industry-ready AI use cases.
- Understanding of AI Core and AI Launchpad for managing model lifecycles and orchestration.
- Discover how SAP BTP serves as the foundation for scalable AI innovation and extensibility.
- Understand Data-to-Value transformation using SAP DataSphere for real-time, contextual insights.
- Apply security, governance, and ethical AI principles with compliance to GDPR, ISO, and SOC standards.
- Joule, SAP’s digital copilot, to navigate and automate workflows using natural language.
- Learn to create custom Joule agents and manage their lifecycle — Design → Build → Deploy → Monitor.
- Master context management and prompt engineering for SAP AI scenarios.
- Implement AI in business processes such as invoice processing, fraud detection, spend classification, and demand optimization.
- Explore AI-powered HR, finance, marketing, and supply chain applications that enhance productivity and insights.
- Integrate third-party AI models using APIs, BTP services, and marketplace extensions.
- Domain-specific agents with CAPM & RAP frameworks for cloud and ABAP environments.
- Follow the AI Adoption Roadmap (Prepare → Build → Deploy → Monitor) for structured implementation.
- Develop change management and workforce readiness strategies for smooth AI transformation.
- Implement risk management and ethical guardrails to ensure trustworthy AI operations.
- Measure success using AI adoption KPIs, dashboards, and ROI metrics for continuous improvement.

Requirements
- Basic Understanding of SAP Ecosystem

Description
This course consist usage of artificial intelligence. In thisSAP Business AIcourse, students will gain a comprehensive understanding of how artificial intelligence is embedded, extended, and orchestrated across the SAP ecosystem to power the Intelligent Enterprise. They will learn the key distinctions betweenArtificial Intelligence and Business AIin the SAP context, along with how SAP integrates AI across core products likeS/4HANA, SuccessFactors, Ariba, and CX Cloud. Learners will explore SAP’sUnified AI Operating System,230+ prebuilt AI scenarios, and the roadmap toward 400+ use cases.

Students will develop practical skills in managing theAI model lifecycleusingAI Core and AI Launchpad, understandingdata-to-value flows with SAP DataSphere, and ensuringethical, secure, and compliant AI deploymentunder GDPR, ISO, and SOC standards. They will learn how to design, build, deploy, and monitorcustom AI agentsusingJoule Studio, CAPM, and RAP frameworks, and how to connect external models throughAPIs, BTP services, and marketplace integrations.

The course also emphasizes applied business use cases such asintelligent invoice processing, cash flow optimization, fraud detection, supplier risk management, workforce analytics, customer personalization, and predictive sales insights. Students will understand how AI drives operational excellence, automation, and decision support across finance, HR, supply chain, and marketing.

Finally, learners will master strategic frameworks forAI adoption planning (Prepare → Build → Deploy → Monitor), managing organizational change and workforce readiness, implementingethical AI guardrails, and tracking ROI throughKPI dashboards and success metrics. By the end of the course, students will be equipped to design, govern, and scale SAP Business AI initiatives that deliver measurable value and enterprise-wide transformation.

Who this course is for:
- SAP Professionals and Consultants
- Those working with S/4HANA, SAP BTP, SuccessFactors, Ariba, or SAP Analytics Cloud who want to integrate or extend AI capabilities.
- SAP implementation and functional consultants seeking to understand how AI enhances enterprise workflows.
- Developers and Solution Architects
- HR, Finance, and Supply Chain Professionals
- Students and Early-Career Professionals
- IT and Digital Transformation Managers
- AI and Data Practitioners in Enterprise Environments
- Business Analysts and Process Owners
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