Robotic Processing Assistant: Streamlining Operations

Robotic Processing For Real World Scenerios

What you'll learn

This course offers a comprehensive introduction to the fundamentals of Robotic Process Automation (RPA).

It is ideal for beginners who want to learn about RPA and how it transforms businesses by combining software robotics.

Students will learn about the components and understanding of RPA and its ability to emulate repetitive tasks that people perform.

RPA is changing the way organizations digitize and transform business processes, and how they interact with their employees, customers, and competitors.

By implementing RPA, organizations can improve customer satisfaction by utilizing software robots to complete time-consuming and repetitive tasks.

By completing the course, students will attain the skills needed to utilize RPA in their business environment.

The ample amount of content, accompanied by relevant examples, will help solidify students' learning of RPA.

Requirements

There are no specific requirements to take this course. However, students should have a basic understanding of computer systems and be familiar with using a computer.

Description

This course is best for beginners, and an introduction into the fundamentals of Robotic Process Automation (RPA) and how it is transforming the world by combining software robotics. Learn about understanding, components in RPA & lot more. RPA is software-based robotics that emulate the repetitive work that people do. RPA is changing the way organizations digitize and transform business processes and how they interact with their employees, customers and competitors. Automation is the demand from most of the individuals if they are thrown a question at them “Whether or not would you be fine with those boring tasks off of your hands”. RPA enables organizations to make use of these software robots to finish all these repetitive, time-consuming work for improved customer satisfaction.This course will cover the topics necessary to have a solid foundational knowledge of the RPA capabilities and become proficient with building robots that automate common process tasks like data extraction from web sites, data entry, working with spreadsheets and more. If you follow along with the video demonstrations and exercises, you'll be able to implement and test robots of your own design to meet a variety of automation challenges in your business environment.In addition to being on path to mastering your certification track we provide you material with real experiences you may encounter in the business world, and as we walk you through these practices you will certainly attain the skill to utilize when the moment comes.An ample amount of content with relevant examples will help concrete your RPA learning.Join Now!

Overview

Section 1: Chapter 1: introduction to robotic process automation (rpa)

Lecture 1 Introduction

Lecture 2 Learning objectives:

Lecture 3 Main Content

Lecture 4 Chapter one course video

Section 2: Chapter 2: understanding the rpa machine learning framework

Lecture 5 Introduction

Lecture 6 Learning objectives

Lecture 7 Main content

Lecture 8 Chapter two-course video

Section 3: Chapter 3: setting up an rpa environment

Lecture 9 Introduction

Lecture 10 Learning objectives

Lecture 11 Main content

Lecture 12 Chapter three-course video

Section 4: Chapter 4: rpa automation techniques

Lecture 13 Introduction

Lecture 14 Learning objectives

Lecture 15 Main content

Lecture 16 Chapter four course video

Section 5: Chapter 5: rpa workflow design and management

Lecture 17 Introduction

Lecture 18 Main content

Lecture 19 Chapter five course video

Section 6: Chapter 6: rpa and machine learning integration

Lecture 20 Introduction

Lecture 21 Learning objectives

Lecture 22 Main content

Lecture 23 Chapter six course video

Section 7: Chapter 7: security and compliance in rpa

Lecture 24 Introduction

Lecture 25 Learning objectives

Lecture 26 Main content

Lecture 27 Chapter seven course video

Section 8: Chapter 8: future of rpa and machine learning

Lecture 28 Introduction

Lecture 29 Learning objective

Lecture 30 Main Content

Lecture 31 Chapter eight course video

Section 9: Conclusion

Lecture 32 Summary

Section 10: Extra: Reusable-Shareable Workflows

Lecture 33 01 . Overview

Lecture 34 02 . Create a reusable shareable workflow

Lecture 35 03 . Pass data into a reusable workflow

Lecture 36 04 . Get data out of a reusable workflow

Lecture 37 05 . Extract a workflow

Section 11: Extra: Control Your Robots with Orchestrator

Lecture 38 1. Orchestrator overview

Lecture 39 2. Uipath Cloud Platform notes

Lecture 40 3. Create a CloudOrchestrator account

Lecture 41 4. Login, setup, and tour the UI

Lecture 42 05 . Connect a robot - part 1

Lecture 43 06 . Connect a robot - part 2

Lecture 44 07 . Create environment and associate robot

Lecture 45 08 . Publish a package

Lecture 46 09 . Create a process from the package

Lecture 47 10 . Run an attended robot and examine logs

Lecture 48 11 . Fix the robot and re-publish

Lecture 49 12 . Trigger an unattended robot at a specific time

Lecture 50 13 . Assets overview creation

Lecture 51 14 . Assets consuming from a robot

Lecture 52 15 . Robot-level input parameters

Lecture 53 16 . Pause an attended robot (v2018.4+)

Lecture 54 17 . Web Browser Automation Basics

Lecture 55 18 . Create the assets _ project

Lecture 56 19. Retrieve the assets

Lecture 57 20 . Open and close the browser

Lecture 58 21 . Login and logout

Lecture 59 22 . Perform a search

Lecture 60 23 . Enabling pop up windows

Section 12: Extra: Database Automation Basics

Lecture 61 01 . Overview

Lecture 62 02 . Database interaction with UiPath

Section 13: Extra: Excel Automation Basics

Lecture 63 01 . Overview

Lecture 64 02 . Excelworksheet activity overview

Lecture 65 03 . Read worksheet into a data table

Lecture 66 04 . Write data table into a worksheet

Lecture 67 05 . Append data table into a worksheet

Lecture 68 06 . Read and write worksheet CELL data

Lecture 69 07 . Read range, transform table, and write range

Section 14: Extra: Mainframe Automation Basics

Lecture 70 01 . Mainframe intro

Lecture 71 02 . Mainframe automation

Section 15: Extra: Realtime Scenarios

Lecture 72 01 . Invoice Processing

Lecture 73 02 . Sales Orders

Lecture 74 03 . Accounting Reconciliation

Lecture 75 04 . ERP Data Entry

Lecture 76 05 . Systems Queries

Lecture 77 06 . Payroll

Lecture 78 07 . Employee On-boarding

Lecture 79 08 . User Termination

Lecture 80 09 . including integrating with API_s

Lecture 81 10 . Integrate UiPath robots with many features

Lecture 82 11 . Video Surveillance systems

Lecture 83 12 . Data Analytics _ Predictions

Lecture 84 13 . Advanced web scraping - unstructrued data

Lecture 85 14 . A. Machine Learning, Artificial Intelligenc

Lecture 86 14 . B.Natural Language Processing, Sentiment Analysis

Lecture 87 15 . Microsoft SSIS

Lecture 88 16 . Advanced web scraping - Structrued Data

Lecture 89 17 . Payment reconciliation processes

Lecture 90 18 . Full autonomous automatic invoice processing

Lecture 91 19 . Security bot for CRM documents

Lecture 92 20 . Music assistant

Lecture 93 21 . Sales assistants

Lecture 94 22 . Financial payment debts

Lecture 95 23 . Trouble shooting ticketing systems(passwords, AD, Mapping, Emergency Terms,

This course is best suited for beginners who want to learn about Robotic Process Automation (RPA) and how it transforms businesses by combining software robotics.,It is designed for individuals who are interested in understanding the components and fundamental concepts of RPA, and how it can help organizations digitize and transform their business processes.,Additionally, this course is for those who want to become proficient in building robots that automate common process tasks such as data entry, data extraction from websites, working with spreadsheets, and more.