
Learn to automate end-to-end testing of modern web applications using Playwright, ensuring reliability, speed, and cross-browser compatibility.
A database is a structured collection of data that enables efficient storage, retrieval, and manipulation for modern applications.
Microsoft SQL Server is a robust relational database management system ideal for enterprise applications, with comprehensive installation and configuration options.
SQL (Structured Query Language) is the standard language for managing relational databases, essential for effective database operations.
SQL commands are categorized by functionality, with DDL and DML being key for defining and manipulating database structures.
Database design involves tables, columns, keys, constraints, normalization, and ER diagrams to create efficient and well-structured databases.
Data Query Language (DQL), especially SELECT statements, is fundamental for retrieving and querying data effectively.
User-defined functions (UDFs) allow custom reusable logic to extend SQL Server functionality with business-specific calculations.
Joins and subqueries combine data from multiple tables and enable complex querying and data analysis.
Stored procedures are precompiled SQL statements that encapsulate business logic, improve performance, and enhance security.
Views are virtual tables based on SELECT statements that simplify queries, enhance security, and abstract data access.
Triggers are special stored procedures that automatically execute in response to table or view events to enforce rules and maintain data integrity.
Cursors allow row-by-row processing of query results, useful for complex logic that cannot be handled with set-based operations.
Transaction Control Language (TCL) manages transactions, ensuring data integrity and consistency via ACID properties.
Backup and Restore operations are essential for data protection, disaster recovery, and maintaining business continuity.
Indexing optimizes database performance by speeding up queries, making indexing strategy crucial for efficiency.
Query optimization improves SQL performance by analyzing execution plans, identifying bottlenecks, and applying best practices.
SQL Server security and administration covers authentication, authorization, encryption, auditing, and best practices to protect and manage data.
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.
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.
Introduction to Playwright covers the basics of this end-to-end web automation framework.
Installation & Setup guides you through installing Playwright and configuring the development environment.
First Playwright Script teaches how to create and run your initial automation script.
Selectors & Locators explain how to identify and interact with web elements effectively.
Web Element Interactions cover actions like click, type, drag-and-drop, and other user interactions.
Handling Alerts & Frames in Playwright shows how to manage pop-ups, modals, and iframe elements.
Waits in Playwright teach strategies to handle dynamic content and ensure stable test execution.
Assertions & Validations cover verifying element states, values, and application behavior.
Playwright Test Runner introduces running, organizing, and managing automated test scripts.
Parallel & Cross-Browser Testing demonstrates executing tests simultaneously across multiple browsers.
Screenshots & Traces teach capturing screenshots and tracing test executions for debugging purposes.
Network & API Testing covers testing API calls, intercepting requests, and validating responses.
Data-Driven Testing & Fixtures explain running tests with multiple data sets and reusable test setup.
Page Object Model (POM) introduces organizing UI elements and actions into structured classes for maintainable tests.
Integration with Jest / Mocha shows combining Playwright with popular JavaScript test frameworks.
CI/CD Integration teaches automating Playwright tests within continuous integration and deployment pipelines.
Mobile & Device Emulation demonstrates testing responsive designs and simulating different devices.
File Uploads & Downloads cover automating file handling scenarios in web applications.
Reporting & Debugging focuses on generating reports and troubleshooting test failures effectively.
Playwright Best Practices & Final Project consolidates learned skills into optimized test practices and a comprehensive project.

Explore Playwright, a modern end-to-end testing framework designed for fast, reliable, and cross-browser automation of web applications. Learn to write and execute powerful test scripts that validate UI interactions, APIs, and performance with precision. Gain hands-on experience in test automation, debugging, and CI/CD integration, building confidence for real-world testing scenarios.

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