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Robotic Process Automation Programming Course in Kochi

Creating thousands of jobs every year Robotic process automation will rule this generation.

Robotic Process Automation Programming Course in Kochi

Overview

Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software.

Upcoming Batch schedule for Robotic Process Automation

The emerging graduates can quickly expect a significant
share of employment opportunities globally. Also, pay
packages in this field are relatively higher when
compared to other areas.

Enroll now

Preview
this course

Skills Covered
  • Data wrangling
  • Data exploration
  • Data visualization
  • Mathematical computing
  • Data wrangling

This course includes

Seed Plan

  • Duration 2.5 months
  • 0.5 Skill training

Benefits

  • Certified course
  • Internship based on PE
  • ∙ 8 Grooming sessions
  • ∙ Performance evaluations
  • Recorded sessions
  • Extra learning sessions
  • Weekly assignments
  • Main Project
  • Free Access to LMS
  • Update on Job vacancy in and around Infopark
Enroll now

Growth Plan

  • Duration 2.5 months
  • 0.5 months training
  • 3 months internship

Benefits

  • Certified course
  • ∙ Confirmed Paid Internship
  • Sessions by Industry Experts
  • Flexible pricing options
  • 24x7 learner assistance and support
  • Placement based on PE
  • 8 Grooming sessions
  • Performance evaluations
  • Recorded sessions
  • Extra learning sessions
  • Weekly assignments
  • Main Project
  • Free Access to LMS
  • Update on Job vacancy in and around Infopark
Enroll now

Success Plan

  • Duration 2.5 months
  • 0.5 months training
  • 3 months internship with stipend
  • job placement

Benefits

  • Assured Placement
  • Certified course
  • Confirmed Paid Internship
  • Sessions by Industry Experts
  • Live client Projects
  • Flexible pricing options
  • 24x7 learner assistance and support
  • 8 Grooming sessions
  • Performance evaluations
  • Recorded sessions
  • Extra learning sessions
  • Weekly assignments
  • Main Project
  • Free Access to LMS
  • Update on Job vacancy in and around Infopark
Enroll now

Syllabus

Detailed Topics Practical Sessions No.of Hours Req.
  1. Introduction to Cryptography
  2. Key concepts: PKIs and Encryption
  3. Services and Threats in the field of cryptography
  4. Adv and Disadv of Symmetric Encryption
  5. Hashing and Hash Collisions
  1. Introduction to Some Cryptographic Tools
  2. Symmetric Encryption
  3. Stream Ciphers, RC4
  4. Asymmetric Encryption
  5. Hashing Texts and Files
  6. Digital Signatures
 20 hours
Detailed Topics Practical Sessions No.of Hours Req.
  1. Phases of Penetration Testing
  2. Footprinting, Scanning, and Enumeration
  3. System Hacking
  4. Trojans
  5. Virus and Worms
  6. Traffic Sniffing
  7. Denial of Service
  8. Session Hijacking
  9. Hacking a Web Server
  10. Buffer Overflow
  1. Tools for Footprinting, Scanning, and Enumeration
  2. Various Tools used for Ethical Hacking
  3. Some Practical Examples on Trojans
  4. Some Practical Examples of Virus and Worms
  5. Various tools used to Sniff the Network Traffic
  6. Some Practical Examples on Denial of Service
  7. Some Practical Examples on Session Hijacking
  8. Some Practical Examples on Hacking a Web Server
  9. Some Examples of Buffer Overflow
 20 hours
Detailed Topics Practical Sessions No.of Hours Req.
  1. How to Code Securely?
  2. Open Web Application Security
  3. Broken Authentication and Session Management
  4. Cross Site Scripting
  5. Sensitive Data Management
  1. Various Tools for Security Testing and Scanning
  2. Various Code Injection Techniques
  3. Broken Authentication and Session Management
  4. Practical Examples on Cross Site Scripting
  5. Practical Examples of Sensitive Data Management
 20 hours
Detailed Topics Practical Sessions No.of Hours Req.
  1. HTTP Basics and why websites
    are getting hacked?
  2. What is SQL Injection?
  3. What is XSS?
  1. Spidering, SQL Injection Discovering and Exploiting
  2. XSS Discovery and Exploiting
 10 hours
Detailed Topics Practical Sessions No.of Hours Req.
  1. Introduction to modern
    forensics
  2. Discussion on Legalities and Legal Terminologies
  3. Searching and Seizing
  4. Talk on Digital Evidence
  5. Windows Forensics
  6. Introduction to Steganography
  7. Application Password Checkers
  8. Discussion on Recovery and Deletion of Files
  1. Some Practices on Investigative Process
  2. Some Practices on Windows Forensics
  3. Some Practical Examples on Steganography
  4. Some Practices on Application Password Checkers
 20 hours
Detailed Topics Practical Sessions No.of Hours Req.
  1. Introduction to Python and
    Install Python in Linux
  2. Introduction to data
    structures in Python
  3. Introduction to networking
    in Python
  4. Advanced Python
  5. How to make bank
    Analyser in Python
  6. Testing your Python scripts
  1. Practises on basic
    commands in Python
  2. Programming examples
  3. See tips regular expressions
 20 hours

Description

Robotic process automation is a form of business process automation technology based on metaphorical software robots or on artificial intelligence /digital workers. It is sometimes referred to as software robotics.

Why should You Learn Cybersecurity?

Robots are able to carry out the most repetitive or dangerous tasks in a facility with complete precision and consistency, every time. … Lower costs – With increased productivity, efficiency and accuracy come cost benefits as well, as robots help facilitate more work being completed in less time.

How much a Robotic Process Automation developer earns?

According to Glassdoor, the average salary of an RPA developer in India is around Rs. 565,000 per annum. The maximum and minimum limits that this base average salary can reach are Rs. 1,016,000 per annum.
Contact us

+91 73061 10530

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  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site

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