Python QA Automation: UI, API, and Load Testing

Quality Assurance (QA) automation is crucial for modern software delivery, requiring engineers who can handle diverse testing needs across the stack. This course equips you with the practical skills needed to design, code, and maintain professional-grade test automation frameworks using Python, covering web UI, API, and performance testing from the ground up. What you'll learn: * Learn core testing principles and structure scalable test projects using the Pytest framework. * Master reliable UI automation techniques using Playwright for robust end-to-end web application validation. * Apply advanced API testing methods for REST and gRPC services, including essential data modeling and validation with Pydantic. * Configure and execute performance and load tests using Locust to simulate realistic user traffic and analyze system metrics. * Practice integrating test execution, reporting, and environment setup into Continuous Integration (CI) pipelines using containerization tools like Docker. * Understand how to use mocking and service virtualization to control external dependencies and ensure stable test environments. We begin with foundational Python testing concepts and progress rapidly into building functional, multi-layered test frameworks. The course emphasizes practical application and professional reporting standards. This course is designed for beginners with basic programming familiarity who are ready to specialize in QA automation engineering. No prior testing experience is assumed. Start building your automated testing expertise today.