
Learn to perform end-to-end testing of full stack applications using Selenium to ensure functionality, reliability, and seamless user experience across all layers.
Software Testing is the process of evaluating software to ensure it meets requirements, functions correctly, and maintains quality.
The Software Testing Life Cycle (STLC) is a structured sequence of phases that ensures thorough testing and quality assurance.
Agile Methodology is an iterative, collaborative approach to software development that emphasizes flexibility, customer satisfaction, and continuous improvement.
Scrum is an agile framework that manages complex projects through iterative and incremental development cycles.
Extreme Programming (XP) is an agile methodology focusing on rapid feedback, continuous testing, collaboration, and frequent releases for high-quality software.
Scrum and Kanban are agile approaches with different principles and practices, helping teams choose the methodology suited to their context.
Kanban is a visual workflow management method that limits work-in-progress to improve efficiency and productivity.
The Waterfall methodology is a linear, sequential software development approach where each phase is completed before the next begins.
Software testing evaluates functionality, performance, and quality, with various testing types ensuring comprehensive validation.
Test Planning & Execution involves preparing, organizing, and running test cases to ensure software reliability and quality.
Test scenarios and test cases provide step-by-step instructions to verify software behavior under different conditions.
The Defect/Bug Lifecycle tracks a defect from discovery to resolution, ensuring effective quality management.
Test Execution & Reporting involves running tests, collecting results, and generating reports to inform stakeholders of software quality.
Jira is a widely used project management tool for bug tracking, issue management, and agile project workflows.
Selenium is an open-source framework for automating web application testing across browsers and platforms.
Java is the primary language for Selenium automation, and mastering its fundamentals is crucial for robust test frameworks.
Object-Oriented Programming (OOP) in Java enables maintainable, reusable, and scalable Selenium automation code.
Selenium WebDriver provides a programming interface to create and execute browser automation scripts across different browsers.
Validations and waits ensure reliable Selenium test execution by handling dynamic web elements effectively.
Web element handling involves locating, interacting with, and manipulating HTML elements to create robust automation scripts.
Selenium WebDriver allows handling multiple windows, frames, and tabs, essential for complex web automation.
A testing framework provides structure, standards, and features to make Selenium automation organized, maintainable, and scalable.
Assertions and Data-Driven Testing ensure test reliability and comprehensive coverage across multiple data sets.
Exception handling and debugging help identify and resolve issues during Selenium test execution for robust automation.
Page Object Model (POM) organizes web UI elements into separate classes, reducing code duplication and improving maintenance.
Maven manages project dependencies, build lifecycle, and structure for efficient Selenium automation projects.
Selenium Grid enables parallel test execution across multiple browsers and machines, reducing overall test time.
File handling operations like upload, download, and screenshots support testing file functionalities and debugging.
Advanced user actions simulate complex interactions like drag-and-drop, keyboard shortcuts, and context menus in Selenium.
REST Assured is a Java library providing a fluent interface for writing maintainable REST API tests.
Reporting provides insights into test execution, performance metrics, and detailed analysis for informed decisions.
Jenkins CI/CD integration with Selenium enables continuous testing, early bug detection, and automated quality assurance.
An API is a set of rules and tools that enables different software applications to communicate and exchange data.
Manual API testing involves sending requests and verifying responses without automation, essential for debugging and initial testing.
Postman is a platform for designing, testing, and documenting APIs, supporting both manual and automated workflows.
Environments in Postman store variables for different configurations, allowing efficient switching between dev, staging, and production.
Sending requests in Postman allows interaction with APIs to test endpoints and validate responses.
Postman tests are JavaScript snippets that run after a request, validating responses and automating API testing workflows.
A Collection in Postman groups related API requests for organized execution, sharing, and management.
Assertions validate API responses against expected criteria, ensuring correct functionality and data integrity.
Pre-request scripts run before sending requests to set up data, authentication, or dynamic variables.
Postman Automation enables running API tests automatically, integrating with CI/CD pipelines for continuous validation.
Getting started with JMeter involves learning its interface and components for performance and API testing.
HTTP Request Testing sends requests to web services and validates responses, ensuring correct API behavior.
Assertions in JMeter validate server responses to ensure functional correctness and performance compliance.
Listeners in JMeter capture and display test results, providing insight into test performance and issues.
Advanced Thread Groups in JMeter allow precise control of load testing and simulation of user behavior patterns.
Data-Driven Testing (DDT) runs test scripts with multiple data sets to validate application behavior under varied inputs.
Apache JMeter is an open-source tool for load testing APIs and web applications, simulating multiple users for performance evaluation.
JMeter’s plugin architecture extends functionality for API testing, performance monitoring, and reporting via community plugins.
CI/CD integration in API testing automates validation of changes before deployment, ensuring quality and reliability.

Master the art of full stack testing using Selenium to validate both frontend and backend functionality of web applications. Learn to design, automate, and execute robust test cases that ensure accuracy, performance, and user satisfaction. Gain practical experience in automation frameworks, API testing, and continuous integration, preparing you for real-world QA environments.

A React Full Stack is a versatile programmer proficient in both front-end and back-end development, capable of building and managing complete web applications. They handle everything from the user interface and user experience design to server-side logic and database management.

.NET Core Full Stack Developer skilled in building scalable, high-performance web applications using C#, ASP.NET Core, JavaScript, and SQL Server.

Learn to automate end-to-end testing of modern web applications using Playwright, ensuring reliability, speed, and cross-browser compatibility.

Learn to perform end-to-end testing of full stack applications using Cypress, ensuring fast, reliable, and maintainable web test automation.

Learn to transform raw data into interactive dashboards and insightful visual reports using Microsoft Power BI for effective data-driven decision-making.

Learn to build robust, scalable, and secure web APIs using ASP.NET Core, enabling seamless data exchange between applications.

Learn to develop scalable, high-performance web applications using .NET Core, combining robust backend logic with modern frontend development.

Learn to build dynamic, interactive, and type-safe web applications using JavaScript and TypeScript for modern frontend and backend development.

Learn to build modern, high-performance web applications using React and Next.js with server-side rendering and seamless user experiences.

Master Advanced SQL to efficiently manage, query, and analyze complex datasets for robust data-driven applications.

Learn to orchestrate and automate data workflows using Azure Data Factory for efficient cloud-based ETL and data integration.

The Python–Django Full Stack Development course is designed to help you master both frontend and backend web development using Python and Django. You’ll learn to build dynamic, database-driven websites and applications from scratch, gaining hands-on experience in real-world project development.

The Java Full Stack Development course is a comprehensive program designed to help learners master both front-end and back-end technologies using Java. It covers everything from core Java programming to advanced web application development with modern frameworks and tools.

Learn to perform performance and API testing using JMeter, ensuring reliable, high-performing web applications and services.

Learn to create responsive, modern, and visually appealing web interfaces using HTML, CSS, Bootstrap, and Tailwind CSS.

Learn to analyze, visualize, and interpret data effectively using Excel, R, and Microsoft Power BI for data-driven decision-making.

Learn Python for Data Science to analyze, visualize, and derive insights from data for informed decision-making and predictive modeling.

Learn to create intuitive, visually appealing, and user-centered digital experiences through effective UI/UX design principles.

Learn to efficiently manage projects using Agile methodologies, ensuring iterative development, collaboration, and timely delivery.

Learn to automate web application testing using Selenium, ensuring faster, reliable, and accurate quality assurance.

Learn to perform end-to-end web application testing using Cypress, ensuring fast, reliable, and maintainable automation.