RPA: Implementing Robotic Process Automation

• General understanding of business processes and office workflows
• Some technical background
• An understanding of programming concepts is helpful but no actual programming experience is required

Audience

• Developers
• Process designers
• Technical persons in charge of deploying RPA within their organization

Robotic Process Automation (RPA) refers to process automation technology (think "software robot") that aims to replicate the actions of a human interacting with a software application or system. An example of a software robot performing the task of a human, would be the entering of data into an ERP system

In this instructor-led, live training (onsite or remote), participants will learn how to implement RPA by engaging in practical, hands-on exercises and discussions.

By the end of this training, participants will have working knowledge of the prominent tools available for designing and deploying RPA systems and will be in a position to evaluate and choose among such systems. Participants will implement various sample RPA projects and gain the necessary practice and mindset to implement a similar system within their own organization.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• This course can be customized to address different industries and business cases, including Banking, Retail, Government, Telecommunications, Utilities, and Transportation.
• To request a customized training, please contact us to arrange.

Introduction

Overview of process automation, before and now

Overview of existing RPA solutions and vendors

• Automation Anywhere
• Blue Prism
• Pega OpenSpan
• UiPath
• Nice
• WorkFusion

Front office vs back office robots

The anatomy of a workflow: how data moves

How to find a good process to automate

Exercise: Taking stock of your systems and processes

Exercise: A simple automation creation demo (web scraping)

Exercise: Desktop automation task

Exercise: Web Automation task

Branching a workflow

Debugging a workflow: tools and techniques

Deploying RPA in production

RPA best practices

Collecting data generated by robots

Roles in RPA

Scaling RPA

Security of RPA

Closing remarks