Engineering Courses

The course teaches you the essential concepts of Python programming, and gives you an in-depth knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. You will master the essential concepts of data types, tuples, lists, dicts, basic operators, and functions.

1.1 Introduction to Python.
      •    Installation & Environment settings.
      •    Introduction to Shell.
1.2 Variables, Keywords, Data types and Identifiers.
      •    Variables 
      •    Keywords
      •    Data types  
      •    Identifiers 
1.3 String, List, Set, Tuple and Dictionary and Slicing
      •    String Data types
      •    List Data types
      •    Set Data types
      •    Tuple Data types
      •    Dictionary Data types
      •    Slicing
1.4 Operators
      •    Arithmetic Operators
      •    Logical Operators
      •    Relational Operators
      •    Bitwise operators
      •    Assignment Operators
      •    Membership Operators
      •    Identity Operators
1.5 Control Statements
      •    Decisional Statements 
      •    Looping Statements 
      •    Break, Continue and Pass
1.6 Input and Print Statements
      •    Input statements
      •    Print statements
1.7 Functions or Methods
      •    Types of Functions
      •    Recursion 
      •    Arguments
      •    Packing and unpacking(varargs)
1.8 Oops
      •    Class, Objects
      •    Inheritance
      •    Method Overriding
      •    Access Specifies
1.9 File Handling and Json
      •    Flat File Handling
      •    Json
      •    Pickle
1.10 Exception Handling
      •    Try
      •    Except and final
      •    Custom Exceptions
      •    Raising Exceptions
      •    Assertions
1.11 Comprehension
      •    List Comprehension 
1.12 Decorators 
      •    Method 
      •    Class Level
1.13 Map, Filter and Lambda Expressions
1.14 Iterators and Generators

Selenium Tool

1. Introduction to automation
   2. Introduction to selenium
   3. Installation of selenium and setting-up the Environments
   4. Invoking the test-cases in various browsers
   5. Browser related operations
   6. HTML and CSS basics
   7. Identification of elements
   8. Locators
       •    Id
       •    Name
         •    Class Name
         •    Tag-name
         •    Link text
         •    Partial link-text
         •    CSS selectors
         •    XPATH
   9. Finding element
         •    Using find element
         •    Using By Class
   10. Finding Multiple elements
   11. Select class
   12. Selenium Action Class
   13. Handling Frames and Windows
   14. Pop-up Handling
   15. Taking Screenshots
   16. Unit-Test Frameworks
   17. Pytest Frameworks
   18. Page Object Model
   19. Data Driven Frameworks
   20. Keyword Driven Frameworks
   21. Git, jenkin

Robot Framework

• What is the Robot Framework In Python?
  • Robot Framework Architecture
  • Installation
• Standard Libraries
• Built-in Tools
• Test Cases
  • Workflow Tests
  • Higher-Level Tests
  • Data-Driven Tests
• Keywords
  • Library Keywords
  • User Keywords
• Variables
  • Defining Variables
  • Using Variables
• Organizing Test Cases
• RobotFramework-Selenium Library
  • Installation
  • Browser Drivers
• Use Case – Web Testing With Robot Framework And SeleniumLibrary

• Manual Testing
• Software Development Life Cycle
  Waterfall Model
   • Spiral Model
     • Prototype Model
     • V & V Model
     • Hybrid Model
• Software Testing
  1. White Box Testing
      o    Path Testing
        o    Loop Testing
        o    Condition Testing
        o    White box Testing from Memory Point of View
        o    White box Testing from Performance Point of View
• Grey Box Testing
  3. Black Box Testing   
     • Functionality Testing/Component Testing
     • Integration Testing
     • System Testing
        o    Build
        o    Release
        o    Patch
        o    Test Cycle
        o    Continues Integration
        o    Incident Management
        o    Software Architecture and Testing
        o    Web Application
        o    Client Server Application
        o    Stand Alone Application
     • Acceptance Testing
        o    Alpha Testing
        o    Beta Testing
     • Smoke Testing/Sanity Testing/Dry Run
     •    Adhoc Testing
     •    Exploratory Testing
     •    Compatibility Testing
     •    Performance Testing
        o    Load Testing
        o    Stress Testing
        o    Volume Testing
        o    Soak Testing
     • Reliability Testing
     • Usability Testing
     • Accessibility Testing
     • Globalization Testing
        o    Internationalization testing
        o    Localization testing
     • Regression Testing
• TEST CASE
   • Introduction to Test Case
     • Test Case Design Techniques
        o    Specification Based
        o    Experienced Based
     • Test Case Format
     • Functional Test Case
     • Integration Test Case
     • System Test Case
     • Procedure to Write and Execute Test Case
     • Test case Review Process
• Software Test Life Cycle
   • Traceability Matrix
     • Test Execution Reports
• Test Management Tool
   • QC
     • ALM
     • Jira
• Test Plan
   • Sections of Test Plan
     • Test Metrices
• Defect Tracking
   • Introduction to Defects
     • Defect Life Cycle
     • Status of Defects
     • Severity of a defect
     • Priority of a defect
     • Defect Report/Incident Report
     • Defect Tracking Tool: 
          o JIRA
          o MANTIS
          o QC
• Static Testing
  10. Dynamic Testing
  11. Quality Assurance and Quality Control
• Projects 
   • Web Application
     • Mobile Application
     • Compatibility Testing Project
  4. ISTQB Foundation
  5. Introduction to Mobile Application Testing
     • MSDLC
     • types of Mobile Applications
        o    Native Application
        o    Hybrid Application
        o    Progressive Application
        o    React Native Application
     • Mobile Emulators/Simulator
     • Introduction to ADB Commands
  6. Resume Building
  7. HR Classes

• Database
• 1 – Introduction
  What Is Database?
   • What is Database Management System (DBMS)?
     • What is Relational Model ?
     • Introduction to RDBMS .
     • Brief on E.F CODD . 
• 2 – Datatypes and Constraints 
  What are Datatypes ?
   • Types and Examples .
     • How to use .
     • What are Constraints? 
     • Types and Examples.
     • How to use. 
• 3 – Statements in SQL 
  Data Definition Language (DDL)
   • Data Manipulation Language (DML)
     • Transaction Control Language (TCL)
     • Data Control Language (DCL)
     • Data Query Language (DQL)
• 4- Software installation
  Installing and set up of software
   • Working on Oracle 10g.
• 5- Data Query Language (DQL) 
  Select 
   • From 
     • Where
     • Group By
     • Having 
     • Order By 
• 6 –Operators 
  Types and Examples 
• 7- Functions in SQL 
  Single Row Functions 
   • Multi Row Functions 
      Max ()
      Min ()
      Sum ()
      Avg ()
      Count ()
• 8-Sub Query 
  Introduction to Sub Query 
   • Working of Sub Query 
     • Query Writing and Execution 
     • Types of Sub Query 
      1. Single Row Sub Query 
      2. Multi Row Sub Query        
     • Nested Sub Query.
• 10- Pseudo Columns 
  Introduction on Pseudo Columns 
   • ROWID
     • ROWNUM
     • Working and Usage.
• 11- JOINS
  What Is Join?
   • Types of Joins.
     • Cartesian Join
     • Inner Join 
     • Outer Join 
     • Self-Join 
     • Queries and Examples.
• 12- Co- Related Sub Query
  Working and Examples 
• 13-Data Definition Language (DDL)
  Create 
     • Rename 
     • Alter 
     • Truncate 
     • Drop
   
  14- Data Manipulation Language (DML)
     • Insert 
     • Update 
     • Delete
   
  15- Transaction Control Language (TCL)
     • Commit
     • Save point
     • Rollback 
• 16-Data Control Language (DCL)
  Grant 
     • Revoke 
  17 – Normalization
     • Introduction to Normalization 
     • Types of Normal Forms 
     • Examples.
• 18-E R Diagrams 
  Introduction to ERD
     • Examples.

Rest API Topics:

• REST Architecture
• REST APIs and Web Services
  • HTTP Methods
  • Status Codes
  • API Endpoints
• REST and Python: Consuming APIs
  • GET
  • POST
  • PUT
  • PATCH
  • DELETE
• REST and Python: Building APIs
  • Identify Resources
  • Define Your Endpoints
  • Pick Your Data Interchange Format
  • Design Success Responses
  • Design Error Responses
• REST and Python: Tools of the Trade
  • Flask
  • Django REST Framework
  • FastAPI
• Conclusion