RPA Certification Master’s Course

36,552

With computerization turning into the thing to take care of, in this innovation driven world, organizations across all verticals are in quest for joining RPA or Robotic Process Automation. With Edutech Skills RPA expert’s certificate preparing, you can comprehend the basics of RPA, AWS, and Python and thusly set yourselves up for the most-paying RPA occupations in the commercial center. Other than making you hypothetically capable in the previously mentioned subjects, this current expert’s program will likewise make you basically productive as it covers 21 involved tasks and activities.

Category:

List of Courses Included:

Online Instructor-led Courses:

  • RPA
  • AWS
  • Python

Self-paced Courses:

  • Automation Anywhere

What will you learn in the RPA master’s online training course?

  • Basic concepts and benefits of RPA
  • AWS architecture and relevant concepts
  • Python when it pertains to ML
  • RPA components
  • RPA tools
  • Automation Anywhere Enterprise Platform
  • Meta bots
  • Developing and automating software bots

Who should take up the RPA master’s certification training course?

This training can be taken up by individuals ranging from students to IT professionals who are keen to revamp their existing skills and build a career by:

  • Implementing RPA applications
  • Leveraging the capabilities of RPA, AWS, Automation Anywhere, and Python to streamline redundant business processes

What are the prerequisites for taking up the RPA master’s certification training?

A fundamental grasp on OOPS concepts and programming languages will essentially be an added advantage to the trainee.

Why should you go for RPA master’s online training?

  • Automation is becoming the new face of organizations – Gartner
  • The average salary of an RPA Professional is around US$150,000 per year – Indeed
  • RPA will continue to grow and will essentially be implemented in almost every vertical by the year 2025 – Business Insider

Hence, this RPA master’s training will help you be up and running in the most demanding professional skills. Almost all top MNCs are trying to automate business processes. Moreover, getting the RPA master’s certification from Edutech Skills can put you in a different league altogether when it comes to applying for the most lucrative automation jobs.

RPA Training (Live Course)

Module 1 – Introduction to RPA

1.1 The important methods of Robotic Process Automation
1.2 The architecture pattern of RPA
1.3 Developing the RPA process
1.4 The various tools used in RPA
1.5 The different types of bots
1.6 Selection criteria
1.7 The lifecycle of RPA
1.8 Handling data solution pattern

Module 2 – UiPath tool for RPA

2.1 Introduction to UiPath tool for Robotic Process Automation
2.2 Understanding the workflow activities and workflow files in UiPath
2.3 The different user interface of UiPath
2.4 Automation activity package
2.5 The various projects in UiPath

Module 3 – Important components of UiPath

3.1 Introduction to UiPath Studio
3.2 UiPath Robot
3.3 UiPath Orchestrator
3.4 Working with variables
3.5 Managing control flow
3.6 Excel automation
3.7 Desktop, Web & GUI automation with UiPath

Module 4 – User Interface automation

4.1 The process to automate the user interface with UiPath
4.2 Automated tasks configuration
4.3 Various variables
4.4 Output viewing
4.5 Arguments
4.6 Importing the packages

Module 5 – Recording with UiPath

5.1 Detailed learning of the recording
5.2 Scraping methods
5.3 User events
5.4 Recording of sequence of events fit for automation
5.5 Extracting data from browser

Module 6 – Programming Activities Using Data Table

6.1 Understand programming activities using Data Table
6.2 Learn Data Table Structure
6.3 Comprehend Searching Method
6.4 Data Table Activities
6.5 Create an environment and associate the workflow
6.6 Understand Creation of Collection
6.7 Know about Sequence and Flowchart
6.8 Assimilate Send Get and Read Email Message

Module 7 – Workflow & Citrix manipulation

7.1 Introduction to invoking a workflow in UiPath
7.2 Manipulating data using UiPath
7.3 Citrix automation for accessing virtual applications
7.4 Virtual environment automation
7.5 PDF automation
7.6 Advanced Citrix automation.

Module 8 – UiPath coding & debugging

8.1 Introduction to programming in UiPath
8.2 The various projects related to organization
8.3 Debugging and handling of exceptions
8.4 Detailed understanding of programming activity
8.5 Handling of errors

Module 9 – Screen scraping with UiPath

9.1 Importance of screen scraping with UiPath
9.2 Various aspects of screen scraping like taking screenshot, activating, highlighting & selecting item, getting text, setting clip region, loading image and more

Module 10 – Automate and Orchestrate the Task

10.1 Learn to automate the process of Reading Email Message
10.2 Downloading Email Attachment
10.3 Sequence and Flow Chart
10.4 Reusable Component of Email

Module 11 – Create a Scalable Queue Management System

11.1 Understand what Queue is
11.2 Learn about Queue Management System
11.3 Comprehend Data Scraping
11.4 Know about Insert in Queue

Module 12 – RE Framework

12.1 Working with RE-Framework
12.2 Introduction to REFramework
12.3 Using State Machine Layout
12.4 Different States of the State Machine
12.5 Workflows of the Framework
12.6 Global variables and default variables of main workflow

What projects I will be working on this RPA training?

Project 1: Invoice Processing System

Problem Statement:  Developing an periodically triggered invoice verification system and extracting relevant details from invoice to update in company’s database.

Topics covered:

Recording:

  • Screen scraping
  • PDF automation
  • Orchestrator
  • Email automation
  • Excel automation

Project highlights:

  • Extracting structured and unstructured data
  • Configuring orchestrator, bots and machines
  • Automating file systems
  • Email and excel automation 
  • Working with PDF attachments

Project 2

Project Name: Calculate Client Security Hash

Description: Creating an Automated process using UiPath which ensures security of each client as well as generate the Security Hash based on their personal information

Function: Security

Department: Finance and Accounting

Scope Of Automation: Fully Automated

Objective:

  1. Deliver faster processing
  2. Reduce redundant activities
  3. Improve overall performance and reliability

Project 3

Project Name: Vendor Finantial Data Reporting

Description: You need to create a automated process that generates yearly reports of all the vendor partners in your company to manage all the business engagements for financial purpose

Function: Reporting

Department: Finance

Objective:

  1. Deliver faster processing.
  2. Reduce the duration of time-consuming activities.
  3. Leverage automation to improve the overall performance and reliability of the department

AWS (Live Course)

Module 01 – Introduction to Cloud Computing & AWS

1.1 What is Cloud Computing
1.2 Cloud Service & Deployment Models
1.3 How AWS is the leader in the cloud domain
1.4 Various cloud computing products offered by AWS
1.5 Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
1.6 AWS architecture and the AWS Management Console, virtualization in AWS (Xen hypervisor)
1.7 What is auto-scaling
1.8 AWS EC2 best practices and cost involved.

Hands-on Exercise – Setting up of AWS account, how to launch an EC2 instance, the process of hosting a website and launching a Linux Virtual Machine using an AWS EC2 instance.

Module 02 – Elastic Compute and Storage Volumes

2.1 Introduction to EC2
2.2 Regions & Availability Zones(AZs)
2.3 Pre-EC2, EC2 instance types
2.4 Comparing Public IP and Elastic IP
2.5 Demonstrating how to launch an AWS EC2 instance
2.6 Introduction to AMIs, Creating and Copying an AMI
2.7 Introduction to EBS
2.8 EBS volume types
2.9 EBS Snapshots
2.10 Introduction to EFS
2.11 Instance tenancy- Reserved and Spot instances
2.12 Pricing and Design Patterns.

Hands-on Exercise –
1. Launching an EC2 instance
2. Creating an AMI of the launched instance
3. Copying the AMI to another region
4. Creating an EBS volume
5. Attaching the EBS volume with an instance
6. Taking backup of an EBS volume
7. Creating an EFS volume and mounting the EFS volume to two instances.

Module 03 – Load Balancing, Autoscaling and DNS

3.1 Introduction to Elastic Load Balancer
3.2 Types of ELB – Classic, Network and Application
3.3 Load balancer architecture
3.4 Cross-zone load balancing
3.5 Introduction to Auto Scaling, vertical and horizontal scaling, the lifecycle of Auto Scaling
3.6 Components of Auto Scaling, scaling options and policy, instance termination
3.7 Using load balancer with Auto Scaling
3.8 Pre-Route 53 – how DNS works
3.9 Routing policy, Route 53 terminologies, Pricing.

Hands-on Exercise –
1. Creating a Classic ELB
2. Creating an Application ELB
3. Creating an auto-scaling group
4. Configuring an auto-scaling group
5. Integrating ELB with Auto Scaling
6. Redirect traffic from domain name to ELB using Route 53.

Module 04 – Virtual Private Cloud

4.1 What is Amazon VPC,
4.2 VPC as a networking layer for EC2,
4.3 IP address and CIDR notations,
4.4 Components of VPC – network interfaces, route tables, internet gateway, NAT,
4.5 Security in VPC – security groups and NACL, types of VPC, what is a subnet, VPC peering with scenarios, VPC endpoints, VPC pricing and design patterns.
Hands-on Exercise –
1. Creating a VPC and subnets,
2. Creating a 3 Tier architecture with security groups,
3. NACL, Internet gateway and NAT gateway,
4. Creating a complete VPC architecture.

Module 05 – Storage – Simple Storage Service (S3)

5.1 Introduction to AWS storage
5.2 Pre-S3 – online cloud storage
5.3 API, S3 consistency models
5.4 Storage hierarchy, buckets in S3
5.5 Objects in S3, metadata and storage classes, object versioning, object lifecycle management, cross-region replication, data encryption, connecting using VPC endpoint, S3 pricing.

Hands-on Exercise –
1. Creating an S3 bucket
2. Uploading objects to the S3 bucket
3. Enabling object versioning in the S3 bucket
4. Setting up lifecycle management for only a few objects
5. Setting up lifecycle management for all objects with the same tag
6. Static website hosting using S3.

Module 06 – Databases and In-Memory DataStores

6.1 What is a database, types of databases, databases on AWS
6.2 Introduction to Amazon RDS
6.3 Multi-AZ deployments, features of RDS
6.4 Read replicas in RDS, reserved DB instances
6.5 RDS pricing and design patterns
6.6 Introduction to Amazon Aurora, benefits of Aurora, Aurora pricing and design patterns
6.7 Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing and design patterns
6.8 What is Amazon Redshift, advantages of Redshift
6.9 What is ElastiCache, why ElastiCache.

Hands-on Exercise –
1. Launching a MySQL RDS instance
2. Modifying an RDS instance
3. Connecting to the DB instance from your machine
4. Creating a multi-az deployment
5. Create an Aurora DB cluster
6. Creating an Aurora replica
7. Creating a DynamoDB table.

Module 07 – Management and Application Services

7.1 Introduction to CloudFormation
7.2 CloudFormation components
7.3 CloudFormation templates
7.4 The concept of Infrastructure-as-a-code
7.5 Functions and pseudo parameters
7.6 Introduction to Simple Notification Service, how does SNS work
7.7 Introduction to Simple Email Service, how does SES work
7.8 Introduction to Simple Queue Service, how does SQS work.

Hands-on Exercise –
1. Creating a CloudFormation stack
2. Launching a t2.micro
3. EC2 instance using CloudFormation
4. Using CloudFormation to automate an architectural deployment
5. Creating an SNS topic, creating a subscription within the topic
6. Setting up SES and sending a mail
7. Creating an SQS queue and sending a sample message.

Module 08 – Access Management and Monitoring Services

8.1 Pre-IAM, why access management
8.2 Amazon Resource Name (ARN), IAM features
8.3 Multi-factor authentication (MFA) in IAM, JSON
8.4 IAM policies, IAM permissions, IAM roles, identity federation, pricing
8.5 Introduction to CloudWatch, metrics and namespaces, CloudWatch architecture, dashboards in CW, CloudWatch alarms, CloudWatch logs, pricing and design patterns
8.6 Introduction to CloudTrail, tracking API usage.

Hands-on Exercise –
1. Creating IAM users and a group
2. creating an IAM policy and attach it to the group
3. creating an IAM role
4. Setup MFA for a user
5. Creating a CloudWatch dashboard and add metrics
6. Create a CloudWatch alarm which triggers according to CPU Utilization of an EC2 instance
7. Creating a billing alarm
8. Creating a log group
9. Creating a trail.

Module 09 – Automation and Configuration management

9.1 What is AWS Lambda
9.2 How Lambda is different from EC2
9.3 Benefits and limitations of Lambda
9.4 How does Lambda work
9.5 Use cases of Lambda, Lambda concepts
9.6 Integration S3 with Lambda
9.7 What is Elastic Beanstalk, how does Beanstalk work, Beanstalk concepts, Beanstalk pricing
9.8 What is configuration management
9.9 What is AWS OpsWorks, AWS OpsWorks benefits
9.10 CloudFormation vs OpsWorks, services in OpsWorks, AWS OpsWorks Stacks, OpsWorks pricing.

Hands-on Exercise –
1. Creating a Lambda function
2. Setting up Lambda triggers and destinations
3. Creating an Elastic Beanstalk application
4. Uploading a new version of the application to Beanstalk
5. Creating a stack in OpsWorks
6. Launching the instance using OpsWorks and automatically installing the application.

Module 10 – AWS Migration

10.1 What is Cloud migration
10.2 Why migration is important
10.3 Migration process in AWS, the 6 R’s migration strategy
10.4 Virtual machine migration, migrating a local vm onto the AWS cloud
10.5 Migrating databases using Database Migration Service (DMS)
10.6 Migrating a local database to RDS
10.7 Migrating an on-premises database server to RDS using DMS, other migration services.

Self Paced

Module 11 – Architecting AWS – whitepaper

11.1 Important guidelines for creating a well-architected AWS framework that is resilient and performant
11.2 Designing of fault-tolerant and high-availability architecture
11.3 Resilient storage
11.4 Decoupling mechanism
11.5 Multi-tier architecture solution
11.6 Disaster recovery solution
11.7 Scalable and elastic solutions.

Module 12 – DevOps on AWS

12.1 What is DevOps,
12.2 Introduction to AWS DevOps,
12.3 AWS Developer tools – CodeCommit, CodeBuild, CodeDeploy and CodePipeline, integrating GitHub with CodePipeline,
12.4 Creating a DevOps lifecycle using AWS DevOps tools.

Module 13 – Amazon FSx and Global Accelerator

13.1 What is FSx
13.2 Types of FSx and FSx for Windows server
13.3 How does FSx for Windows File Server work, FSx for Lustre
13.4 Use cases of FSx
13.5 Automatic failover process
13.6 Supported clients and access methods
13.7 What is a Global Accelerator, How Global Accelerator works, Listeners and Endpoints
13.8 What are AWS Organizations, Features of AWS Organizations, Managing multiple accounts
13.9 What are ENIs, ENAs and EFAs, Working with network interfaces
13.10 Enhanced Networking with ENA, EFA with MPI, Monitoring an EFA

Hands-on Exercise:
1. Creating a shared FSx file system between two windows instances
2. Accessing one instance with multiple Elastic IPS using ENI
3. Using Global Accelerator to map instances from 2 regions into one domain name
4. Enabling Enhanced Networking on an Ubuntu instance

Module 14 – AWS Architect Interview Questions

14.1 Guidance for clearing the exam, most probable interview questions and other helpful tips for clearing the exam and interview.

AWS Projects Covered

Deploying a Multi-Tier Website on AWS

Using various AWS services such as EC2, ELB, Auto Scaling, VPC, etc. to create a highly available and reliable architecture to host a PHP website. Furthermore, use SNS for sending mails of all your websites operations on AWS and deploy the application in a private subnet & use ELB to expose it. Prevent the website from crashing by dynamically scaling your servers.

Deploying a Website for High Availability and High Resilience

An architecture which should be designed to be highly available. Based on the applications workload, the architecture should automatically scale its servers up and down. To balance the load across all these servers, using a ELB is must and also the architecture should be decoupled to connect an RDS database with an Elastic Beanstalk environment.

Sending Notifications to patients using push notifications

Design an architecture to send notifications to patients based on their doctors’ feedback. Using SNS for sending messages will increase the reliability and resilience. Integrate EC2 with the SNS topic for message storing and by using Public and Private subnets we will have to secure the EC2 instances.

Application to sort objects in an S3 bucket using Beanstalk and Lambda

Uploading an application which could upload objects to an S3 bucket to Elastic Beanstalk. Set up your Lambda functions trigger as Object creation in the S3 bucket to which the Beanstalk application uploads the objects to. Add your Lambda code which will segregate the uploaded objects into separate buckets according to the extension (e.g., .png, .pdf, etc).

Case Study 1 – Using Different Operations on EC2 and EWS

The case study is to replicate or copy EC2 instances to varied regions depending upon the High Availability. Furthermore, the main strategy is to extend the size of EBS volumes without losing the data. The major highlights of this case study are to scale and mount the EBS volumes to different EC2 instances one at a time.

Case Study 2 – Autoscaling Compute Capacity in AWS

The major aim of this case study is to Autoscale (scaling up and down automatically) and Load Balance among multiple EC2 instances within AWS based on varied/defined metrics for Autoscaling instances. Also, the case study deals with and routing custom domains to AWS resources.

Case Study 3 – Creating custom VPCs in AWS

In this case study, the candidate will create a custom VPC in AWS with the help of multiple subnets having both private as well as public access. The route tables are also configured to subnets using the Internet Gateway and NAT Gateway.

Case Study 4 – Using AWS S3 for Lifecycle Access Management

The case study deals with moving artifacts from on-premise to S3 in the most cost-efficient manner. Furthermore, it deals with the creation of Lifecycle rules for events in S3 objects, hosting a static website, and experimenting with the usage of route 53.

Case Study 5 – Highly available Relational Database in AWS

This case study is all about creating a highly available and scalable AWS Database Service in AWS using RDS. The process involves creating Database Architecture, collecting data for real-time analysis, and relocating the latency issues.

Case Study 6 – CloudFormation for Infrastructure-as-Code

The case study involves provisioning and deploying AWS Resources using AWS CloudFormation. Within the process, the candidate has to define rules for deletion using IaC and also minimize the deployment time.

Case Study 7 – Administering user access using AWS IAM

In this case study, the candidate will create users in IAM for defining granular access that differs with each user. Alongside he/she will also define custom policies that add users to groups.

Case Study 8 – Application Services in AWS and Configuration Management

The main aim of this case study is to use application services in AWS Lambda for deploying code and also conduct configuration management using OpsWork. Alongside, WebApp is also deployed to Elastic Beanstalk.

Python Training

Module 01 – Python Environment Setup and Essentials

1.1 Introduction to Python Language
1.2 Features, the advantages of Python over other programming languages
1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python
1.4 Deploying Python IDE
1.5 Basic Python commands, data types, variables, keywords and more

Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.

Module 02 – Python language Basic Constructs

2.1 Built-in data types in Python
2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
2.4 Loop and control statements while, for, if, break, else, continue.

Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. create an object
7. Write a for loop

Module 03 – OOP concepts in Python

3.1 How to write OOP concepts program in Python
3.2 Connecting to a database
3.3 Classes and objects in Python
3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
3.5 Python functions, return types and parameters
3.6 Lambda expressions

Hands-on Exercise –
1. Creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

Module 04 – Database connection

4.1 Understanding the Database, need of database
4.2 Installing MySQL on windows
4.3 Understanding Database connection using Python.

Hands-on Exercise – Demo on Database Connection using python and pulling the data.

Module 05 – NumPy for mathematical computing

5.1 Introduction to arrays and matrices
5.2 Broadcasting of array math, indexing of array
5.3 Standard deviation, conditional probability, correlation and covariance.

Hands-on Exercise –
1. How to import NumPy module
2. Creating array using ND-array
3. Calculating standard deviation on array of numbers
4. Calculating correlation between two variables.

Module 06 – SciPy for scientific computing

6.1 Introduction to SciPy
6.2 Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.

Hands-on Exercise –
1. Importing of SciPy
2. Applying the Bayes theorem on the given dataset.

Module 07 – Matplotlib for data visualization

7.1 How to plot graph and chart with Python
7.2 Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.

Hands-on Exercise –
1. Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram.

Module 08 – Pandas for data analysis and machine learning

8.1 Introduction to Python dataframes
8.2 Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
8.3 Various data operations like selecting, filtering, sorting, viewing, joining, combining

Hands-on Exercise –
1. Working on importing data from JSON files
2. Selecting record by a group
3. Applying filter on top, viewing records

Module 09 – Exception Handling

9.1 Introduction to Exception Handling
9.2 Scenarios in Exception Handling with its execution
9.3 Arithmetic exception
9.4 RAISE of Exception
9.5 What is Random List, running a Random list on Jupyter Notebook
9.6 Value Error in Exception Handling.

Hands-on Exercise –
1. Demo on Exception Handling with an Industry-based Use Case.

Module 10 – Multi Threading & Race Condition

10.1 Introduction to Thread, need of threads
10.2 What are thread functions
10.3 Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
10.4 Creating a Multithread, finishing the multithreads.
10.5 Understanding Race Condition, lock and Synchronization.

Hands-on Exercise –
1. Demo on Starting a Thread and a Multithread and then perform multiple operations on them.

Module 11 – Packages and Functions

11.1 Intro to modules in Python, need of modules
11.2 How to import modules in python
11.3 Locating a module, namespace and scoping
11.4 Arithmetic operations on Modules using a function
11.5 Intro to Search path, Global and local functions, filter functions
11.6 Python Packages, import in packages, various ways of accessing the packages
11.7 Decorators, Pointer assignments, and Xldr.

Hands-on Exercise –
1. Demo on Importing the modules and performing various operation on them using arithmetic functions
2. Importing various packages and accessing them and then performing different operations on them.

Module 12 – Web scraping with Python

12.1 Introduction to web scraping in Python
12.2 Installing of beautifulsoup
12.3 Installing Python parser lxml
12.4 Various web scraping libraries, beautifulsoup, Scrapy Python packages
12.5 Creating soup object with input HTML
12.6 Searching of tree, full or partial parsing, output print

Hands-on Exercise –
1. Installation of Beautiful soup and lxml Python parser
2. Making a soup object with input HTML file
3. Navigating using Py objects in soup tree.

Python Projects

Analyzing the Naming Pattern Using Python

In this Python project, you will work with the United States Social Security Administration (SSA) which has made data on the frequency of baby names from 1880 to 2016 available. The project requires analyzing the data considering different methods. You will visualize the most frequent names, determine the naming trends and come up with the most popular names for a certain year.

Performing Analysis on Customer Churn Dataset

Using the powers of data science and data visualization you will be performing analysis on the reliability of the employees of a telecom industry. This real time analysis of data will be done through multiple labels and the final outcomes will be reflected through multiple reports.

Python Web Scraping for Data Science

Through this project you will be introduced to the process of web scraping using Python. It involves installation of Beautiful Soup, web scraping libraries, working on common data and page format on the web, learning the important kinds of objects, Navigable String, deploying the searching tree, navigation options, parser, search tree, searching by CSS class, list, function and keyword argument.

Automation Anywhere Training

Overview of Automation Anywhere

Overview of Automation Anywhere (AA), Importance of Automation Anywhere, learn the processes which are automatable, understanding Digital Workforce Platforms, Architecture of AA, recorder types, Workflow Designer, Web Control Room, and Web Control Dashboard

Features of Automation Anywhere

Variables of Automation Anywhere, Variable Operation Command, Variable manager, and Task Editor

Cloning and Commands

Library of Commands, Object Cloning, Manage windows, PDF integration, and error management command

Bot Operations

Recorder Hierarchy, Creator, Command Portability, Runner, formats which are automation friendly, Naming Conventions, Tips on automation, best practices, and use cases

IQ Bot

Introduction to IQ Bot, IQ Bot architecture overview, Architecture and Communication Diagram, document analysis, Protocol Specifications, Portal and Workflow, creating Instance, measure and monitor Bot performance and BotInsight Analytics

MetaBot

Overview of MetaBot Designer, features of MetaBot Designer, advantages of MetaBot, and how to use MetaBot

WebCR

Overview and features of WebCR, advantages of WebCR, Web Control Room Setting, Repository Manager, Operation Rooms, License Management, and Operational Analytics

Security, Audit, and User Management in WebCR

Audit trial, Security, User Management, Clients, App Management, Task Schedule, and Credential Manager

Automation Anywhere Projects

Project 1. You work for Zendrix Corp. You have been hired as an RPA Architect in the organization. You have to design an automation program for the following task in the company. The company deals with recruitment, and want an RPA program which can go through each resume, and get the name, mobile number, gender and current profile to be scraped and added in a excel file.

Following are the requirements:

  • The resumes would be coming on the company’s email address. The automation software should automatically download the resumes based on the subject line of the mails, which should be “zendrix recruitment”
  • Once the excel file is complete, we need to schedule the time for interviews. For this, if the gender is female the slot allotted should be “9 AM – 3PM”. If the gender is male, the schedule should be “4PM – 9 PM”
  • Finally, this excel file should be mailed on a specific email address, which should be asked using a message prompt in the beginning

Project 2. You are working in an MNC. Your company’s legacy process includes numerous routine steps including arranging interviews and maintaining records. As an RPA architect, you are supposed to design an automation program that would supplant those redundant and mundane tasks in your company’s workflow.

Especially for growing or shrinking firms hiring and firing brings significant burden on HR and other support functions like IT, security, facilities management. While it is costly to build a solution that encompasses all these functions and completes the necessary tasks for new or leaving employees, RPA bots can be deployed relatively fast and effectively. Automating part of the process and measuring its progress on the RPA bot management module brings speed and transparency to the whole process.

Your automation program should be rolled out in 8 weeks and must:

  • Reducing 40% of the manual labor
  • Reduce the general hiring & onboarding time from 30 mins to 3 mins
  • Reduce 40% of total headcount in your company

Project 3. As a freelance RPA architect, you have been hired by a company that is facing significant problems in getting detailed billed data. Also, whenever clients call customer service regarding their most recent payment, they are forced to stay on hold for a minute or two while the customer service rep scrambles to pull your record and understand it.

You are required to come up with an automation program that would empower customer service reps invoke required billing data of clients with a single mouse click and that too within seconds.