Robotic Process Automation

Duration of       Hours 


Duration time may vary depends on course progress


Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations and maintenance of records and transactions.

RPA technology consists of software robots (bots) that can mimic a human worker. RPA bots can log into applications, enter data, calculate and complete tasks and then log out. Currently, practitioners divide

RPA technologies into three broad categories: probots, knowbots and chatbots.

Probots are bots that follow simple, repeatable rules to process data.
Knowbots are bots that search the internet to gather and store user-specified information.
Chatbots are virtual agents who can respond to customer queries in real time.

Course Content

RPA Introduction:

  •  Introduction to RPA & RDA

  • RPA in BPM Concept

  • BPM Vs RPA with an example

  • Different RPA Tools & Comparison

  • Use Cases of Automation

  • Blue Prism Tool Introduction

  •  Lifecycle of Automation Project, Roles & Responsibilities

Flow Charts:

  •  Design

  •  Draw flow chart and diagrams

  •  Inputs and Outputs

  •  SDD, PDI, ODI

Process Studio:

  •  Running a Process

  • Basic Skills

  •  Process Validation

  •  Decision Stage

  •  Calculation Stage

  •  Data Items

Process Flow:

  •  Circular Paths

  •  Set Next Stage

  •  Breakpoints

  •  Collections & Loops

  •  Pages for Organisation

Inputs & Outputs:

  •  Input Parameters

  •  Stepping and Pages

  •  Data Item Visibility

  •  Data Types

  •  Output Parameters

  •  Start Up Parameters

  •  Control Room

  •  Process Outputs

Object Studio:

  •  Creating Business Objects

  • Application Modeller

  •  Spying Elements

  •  Attributes

  •  Attribute Selection

  •  Launch

  •  Wait

  •  Timeouts

  • Terminate

  • Write

  •  Press

  • Attach & Detach

  • Read

  • Actions

  •  Action Inputs & Outputs

  •  Data Item as Inputs

Error Management:

  •  Recover & Resume

  •  Throwing Exceptions

  •  Preserving the current exceptions

  •  Exception Bubbling

  •  Exception blocks

Queue Management:

  •  Work Queues

  •  Queue Items

  •  Work Queue Configuration

Additional Features:

  •  Collection Actions

  •  Choice Stage

  •  Logging

  •  Log Viewer

  •  System Manager

  •  Process Grouping

  •  Export & Import

Release Manager:

  • Package creation

  •  Release of Process/Objects/Packages

Advanced Features:

  •  Data Item Initialisation

  •  Data Item Exposer(Environment Variables)

  •  Casting

  •  Code Stage

  •  Initialize and clean up

  •  Attribute Match Types

  •  Dynamic Attributes

  •  Active Accessibility

  •  Global Clicks & Keys

  •  Credentials

Advanced Concepts:

  •  Surface Automation

  •  Web Service based application

  •  Certification Accreditation preparation

  •  Match Index & Match Reverse

                                AUTOMATION ANYWHERE TRAINING CONTENT

Introduction to Automtion Anywhere:

  •  Architecture

  •  Introduction to Product Architecture

  •  Task Bots and its usages

  •  Meta Bots and its usages

  •  Learn IQ Bots


  •  Task Bots

  •  Recording the task.

  •  Create Task

  •  Task Editor and its usages

  •  Features in Task Editor

Integrate Pdf:

  •  Usage of If/else command

  •  Datanse and AA

  •  Email Automation in AA  

  •  Handling Exceptions

  •  Commons in PGP

Implement Web Services:

  •  MetaBot and its Usages

  •  Overview

  •  Creation of Metabot

  •  Understand Designer in MetaBot

Adding Metabot:

  •  Recording Recordset

  •  Various configurations in MetaBot Screens

  •  Calibrations in MetaBotScreens

Folders to Metabot:

  •  How to record in MetaBot

  •  Logic Editor

  •  Import and export MetaBot

Commands Categories:

  •  Mouse

  •  Files

  •  Web Service

  •  Tasks

  •  Operations

  •  Integration

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