Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 19 Minute(s)
Language
English
Taught by
Edcorner Learning
Rating
1 views
Course Overview
AI-Powered SAP: From Data to Decision in the Intelligent Enterprise
In this SAP Business AI course, 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 between Artificial Intelligence and Business AI in the SAP context, along with how SAP integrates AI across core products like S/4HANA, SuccessFactors, Ariba, and CX Cloud. Learners will explore SAP’s Unified AI Operating System, 230+ prebuilt AI scenarios, and the roadmap toward 400+ use cases.
Students will develop practical skills in managing the AI model lifecycle using AI Core and AI Launchpad, understanding data-to-value flows with SAP DataSphere, and ensuring ethical, secure, and compliant AI deployment under GDPR, ISO, and SOC standards. They will learn how to design, build, deploy, and monitor custom AI agents using Joule Studio, CAPM, and RAP frameworks, and how to connect external models through APIs, BTP services, and marketplace integrations.
The course also emphasizes applied business use cases such as intelligent 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 for AI adoption planning (Prepare → Build → Deploy → Monitor), managing organizational change and workforce readiness, implementing ethical AI guardrails, and tracking ROI through KPI 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.
Course Content
- 10 section(s)
- 39 lecture(s)
- Section 1 Introduction to SAP Business AI
- Section 2 SAP Business AI Architecture & Foundation
- Section 3 Joule and AI Agents
- Section 4 Business AI in Finance & ERP
- Section 5 Business AI in Procurement & Supply Chain
- Section 6 Business AI in HR and Workforce
- Section 7 Business AI in Customer Experience & Sales
- Section 8 Business AI for IT & Developers
- Section 9 Extending SAP Business AI
- Section 10 Implementation & Adoption Strategy
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.
