Robotic Process Automation for Developers [Video]

Robotic Process Automation for Developers [Video]

Ramesh Nougain
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Automate high-volume, repeatable, rule-based, and workflow-driven tasks (that previously required humans to perform) on computers
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Video Description

The future of work is here: digital workforces. RPA solves a major software integration problem by automating at the presentation layer. Robotic Process Automation is the automation of repetitive and rule-based human tasks working with software applications at the User Interface layer.

This course aims to make you ready for new-age RPA Developer jobs in the Digital Workforce era. You will begin by learning RPA concepts and how they can benefit people at their work. Then, you will master UI automation and extract content using scraping methods. You will get to know the various recorders available in UiPath to record human actions. Finally, you will build a workflow automation and get the hang of automating Excel, PDF, e-mail and Citrix applications.

By the end of the course, you'll be equipped with the knowledge and skills to apply the power of automation to your projects.

The code files are placed on GitHub at this link https://github.com/PacktPublishing/Robotic-Process-Automation-RPA-for-Developers

Style and Approach

This video course supplies multiple examples and illustrations of the many functions of the UiPath tool. It clearly explains the concepts of, and best practices in, RPA.Throughout this course, you will find answers to common mistakes, detailed integration techniques, and the essentials to become a UiPath RPA Developer.

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What You Will Learn

  • RPA use cases and benefits
  • Building workflow automation using three available workflow types
  • How to handle different types of data inside a workflow
  • Data scraping and recorders
  • Debugging and exception handling
  • Reusing automations to invoke workflows and templates
  • Automating desktop, web and Citrix Applications
  • Automating Excel, PDFs, and emails

Authors

Video Details

ISBN 139781789139488
Course Length5 hours 24 minutes
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