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Learn RPA using Automation Anywhere with step-by-step practical implementationKey FeaturesGet an overview of different stages in the Business Process AutomationLearn how to use Automation Anywhere to automate business processes using commands such as Excel, Email, PDF, Database, XML, Web Services etc.Learn how to use commands together to automate process flows and standard industry use casesLearn how to develop bots in Bot CreatorLearn to use Citrix AISense to capture objects in Citrix, Virtual Machine and Remote environmentDescriptionThe book starts by giving an overview of Robotic Process…mehr

Produktbeschreibung
Learn RPA using Automation Anywhere with step-by-step practical implementationKey FeaturesGet an overview of different stages in the Business Process AutomationLearn how to use Automation Anywhere to automate business processes using commands such as Excel, Email, PDF, Database, XML, Web Services etc.Learn how to use commands together to automate process flows and standard industry use casesLearn how to develop bots in Bot CreatorLearn to use Citrix AISense to capture objects in Citrix, Virtual Machine and Remote environmentDescriptionThe book starts by giving an overview of Robotic Process Automation (RPA), its tools, and industry use cases. You will then get familiar with the Automation Anywhere Enterprise components and Architecture. Moving on, you will deep dive into the options provided in a Client application such as recorders, workbench, metabot designer and the types of bots in Automation Anywhere. You will then come across the practical implementation of variables in Automation. The book will then show how to implement commands such as Error Handling, XML, Web Services, FTP, OCR, PGP, String Operation, Files & Folders, etc. You will also get familiar with the working of Workflows and Workflow Manager. Towards the end, the book will teach you how to transfer bots to and from the Web Control Room and schedule bots from the Web Control Room.By the end of the book, you will be able to implement different commands provided in Automation Anywhere.What you will learnUnderstand the fundamentals of Business Process Automation and its stages.Use commands such as Excel, PDF, Email, Database, Object Cloning, Loops, If-Else etc. together to create a bot to automate industry use cases.Use Variables, MetaBots, IQ bots and Citrix AISense to incorporate features such as Reusability, Cognitive Automation capabilities and Object Capturing in Citrix, Virtual Machine and Remote environment.Learn how to create reusable bots using MetaBotsDevelop bots in Bot Creator and upload and schedule them in Web Control Room to be automatically executed on Bot Runner.Who this book is forThe book is for anyone who wants to become a RPA developer. Professionals working in this field who want to upgrade themselves will find this book helpful. Table of Contents1. Chapter 1: Automation Overview2. Chapter 2: Introduction of RPA3. Chapter 3: AAE Architecture4. Chapter 4: Client Application5. Chapter 5: Variables6. Chapter 6: Use Cases7. Chapter 7: Command Library8. Chapter 8: Metabot9. Chapter 9: Recorder10. Chapter 10: Credential Variable11. Chapter 11: IQ Bot12. Chapter 12: Workflows13. Chapter 13: System & Audit Logs14. Chapter 14: Bot TransferAbout the Authors Vaibhav Srivastava is a Software Delivery Manager with 11 years of experience in which he has implemented multiple assignments with varying roles like Architect, Business Analyst, Solution Consultant and Instructor for various technologies like RPA, Data Science, Machine Learning and .NET. Some of the organizations Vaibhav has been associated with are ContactPoint360, IBM, HPE, KPMG, Novartis, Unisys, TCL, HCL Technologies, Ryan India, NSEIT, to name a few. In 2017, Vaibhav moved into RPA and started his journey with Automation Anywhere. The journey has been a cherished one and has taken him on multiple unexplored areas. After Automation Anywhere, Vaibhav also developed expertise in UiPath, another market-leading RPA tool and later upgraded tech stack with gaining knowledge about Machine Learning, Data Science and Artificial Intelligence.