Python QA Automation: Modern API Testing with Pytest and HTTPX

As software systems grow more complex, manual testing alone cannot keep up with rapid deployment cycles. Transitioning into QA automation requires a solid grasp of modern testing tools, robust data validation, and continuous integration. This course guides you through the fundamental concepts of QA automation using Python. You will learn how to transition from basic testing concepts to designing structured, automated test suites for APIs, preparing you for a modern QA Automation Engineer role. What you'll learn: - Understand core QA automation concepts, testing terminology, and framework design patterns. - Write clean, maintainable test cases using Pytest and Python type hints. - Perform API testing and handle asynchronous HTTP requests using HTTPX. - Validate API response structures and data schemas using Pydantic models. - Generate comprehensive, readable test reports with Allure. - Configure CI/CD pipelines to run automated tests using GitLab CI. - Explore how AI-assisted code reviews can optimize your test code quality. The journey begins with foundational definitions of software testing and Python setup, then progresses step-by-step through API interaction, data validation, and automated report generation, concluding with pipeline integration. You will learn entirely through clear written explanations, practical code walk-throughs, and structured conceptual exercises. This course is designed for beginner QA testers, manual QA professionals looking to transition to automation, and Python developers wanting to learn modern testing methodologies. No prior automation experience is required. Start reading today to build your foundation in modern Python test automation.