Python QA Automation with Pytest and CI/CD

Software quality assurance requires reliable and repeatable testing. This course provides the foundational knowledge necessary to transition into a QA Automation Engineer role by focusing on modern Python tooling and industry best practices. Upon completion, you will be able to architect, build, and maintain professional-grade automation test suites that integrate seamlessly into development pipelines, significantly improving software stability and release confidence. What you'll learn: * Understand core testing principles and set up development environments using modern Python packaging tools. * Master the Pytest framework, including advanced usage of fixtures, parametrization, and custom markers for efficient test execution. * Apply HTTPX for reliable API testing and use Pydantic for strict data validation and modeling of API responses. * Implement design patterns, such as the Page Object Model, to create scalable and maintainable test codebases. * Configure detailed test reporting using Allure to provide clear, actionable feedback to development teams. * Integrate automated tests into a continuous integration pipeline using GitLab CI fundamentals for automated execution upon code changes. The course begins with essential Python testing concepts and environment setup, progresses through practical framework construction using Pytest and HTTPX, and concludes with integrating the finalized automation suite into a CI/CD workflow. This program is designed for absolute beginners interested in software testing or manual QA professionals seeking to transition into automation. No prior automation experience is required. Start building your foundational skills for a career in test automation today.