The SAP iRPA course is designed to equip learners with the knowledge and skills required to automate repetitive, rule-based business processes using SAP’s Intelligent Robotic Process Automation platform. This program covers the entire automation lifecycle, from designing, building, and deploying bots to monitoring and managing them efficiently. Participants will learn how to integrate iRPA with SAP S/4HANA, SAP Fiori, and other SAP solutions, enabling organizations to enhance operational efficiency, reduce manual errors, and accelerate business workflows. The course blends theoretical concepts with hands-on exercises, providing practical exposure to creating bots, using SAP Cloud Studio, and leveraging AI-driven automation for complex tasks.
Module 1: Introduction to SAP iRPA and Intelligent Automation Overview of Robotic Process Automation (RPA)Introduction to SAP Intelligent RPA Benefits and use cases of automation in businesses Types of bots: Attended vs Unattended Understanding the automation lifecycle.
Module 2: RPA Concepts and Process Identification Understanding repetitive business processes Process assessment and feasibility analysis Identifying automation opportunities in SAP landscapes Process documentation and mapping.
Module 3: SAP iRPA Studio – Installation & Setup Overview of SAP iRPA Studio Installation and environment setup Exploring the Studio interface and components Creating first automation project.
Module 4: Bot Design and Development Recording and scripting bots Using flow diagrams and logic implementation Variables, data types, and control structures Reusable components and libraries.
Module 5: Exception Handling and Error Management Handling errors and exceptions in bots Implementing retry mechanisms Logging and debugging bots Best practices for stable automation.
Module 6: Integration with SAP and Non-SAP Systems Connecting bots with SAP S/4HANA and SAP Fiori Using APIs, web services, and connectors Integration with external applications (Excel, email, databases) Data extraction and manipulation.
Module 7: Orchestration and Bot Deployment Introduction to SAP Intelligent RPA Cloud Factory Scheduling and deploying bots Monitoring bot execution Managing bot versions and updates.
Module 8: Monitoring, Analytics, and Reporting Bot performance tracking Generating automated reports and dashboards KPI measurement for process automation Continuous improvement of automated workflows.
Module 9: Advanced Automation with AI and Machine Learning Overview of AI-enabled bots Using ML models for decision-making in automation Cognitive automation (OCR, NLP, and image recognition) Integrating AI services with SAP iRPA.
Module 10: Industry Case Studies and Hands-on Projects End-to-end automation project implementation Invoice processing automation Employee onboarding process automation Data migration automation Sales and inventory management automation Best practices and lessons learned.
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Email: coursedivine@gmail.com
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