Enterprise QA Automation with Java, Selenium & APIs

Learn Java basics for testers, covering the basic structure, variables, printing output, and building a Maven-based project in IntelliJ, plus using Java time LocalDate for timestamps.

Explore control flow in Java, including if-else, switch, and loops, with practical login examples using scanner and boolean flags to handle multiple login attempts.

Explore arrays and collections in Java for test automation, including fixed-size arrays, dynamic lists (ArrayList), sets (HashSet), and maps (HashMap), with practical examples of adding, retrieving, and iterating data.

Learn object-oriented programming in Java, covering classes, objects, constructors, and initialization. Master inheritance, constructor chaining, and method overriding using contact and user examples for automation.

Explore exception handling and file operations in Java, including writing and reading data files and using properties to manage environment configurations, and handle io and compile-time exceptions via try-catch.

Master wrapper classes in Java, converting primitives to objects via autoboxing and unboxing, and parse strings to numbers or booleans using valueOf for Selenium, Playwright, and TestNG.

Install and configure TestNG with Maven, add the TestNG dependency and testng.xml, then write a simple test class with @Test methods (login and logout) and run them.

Learn to configure and use the testng.xml file to control test execution, organize suites, tests, and classes, enable parallel runs, and pass global parameters as the master controller.

Learn to configure parallel execution in TestNG via the test engine and test-engine.xml to run test methods or classes in separate threads, drastically reducing execution time.

Explore how AI replicates human intelligence to create systems that diagnose disease from patient test reports, detect credit card fraud, and explain loan eligibility decisions.

Discover how generative ai differs from traditional ai in qa use cases, creating new content such as text, images, or code, unlike traditional ai which reads data and predicts outcomes.

Discover how generative AI learns patterns from training data to create new content, such as images or text, unlike traditional AI that analyzes data to predict or classify.

Discover how generative ai learns from training data with transformer and gan architectures, generates context-aware outputs, and improves through feedback and fine-tuning.

Create an end-to-end test plan from business requirements using ai, detailing team roles, test types, environments, and non-functional testing for fashion retail.

Generate functional and non-functional test cases from business requirements using AI, covering user management and product catalog modules. Review manually, export to Excel, and validate with test management tools.

Leverage AI to create a test strategy by classifying existing test cases into unit, API, and UI end-to-end layers per the testing pyramid, enabling shift-left validation and targeted automation.

Generate AI-driven test data across unit, API, and UI tests, including unique database SQ values and login credentials, with positive and negative cases for invalid and empty passwords.

Learn to use Chrome DevTools AI for QA to understand APIs, generate test cases, document APIs, and create automation code in Java Rest Assured or Python Playwright.

Learn to create your first API automation test in Java with Rest Assured, posting a login request and validating the response token and status code.

Learn to perform insert, select, update, and delete queries for qa, handle sql_safe_updates, validate data, and grasp ddl/dml basics and table schema.

Discover how to validate MySQL data with Java JDBC by connecting to the database, running a query, and fetching the phone by email for API validation.

Parameterize database validation with TestNG DataProvider and MySQL to run multiple email checks in one execution; implement isContactPresent and a data-driven test with a dedicated data provider class.

Implement the page object model by building login and contact page classes, using ID locators, web driver waits, and explicit conditions to verify login and navigation to the contact page.

Extract dynamic table data by locating rows, identifying the name cell, and returning the corresponding phone number using a reusable page method that traverses the dom and td elements.