Python is a popular choice for implementing AI and web security, prompting the QA industry to adopt it for test automation in AI projects. This course guides you in using Python and Selenium WebDriver for automation testing. Starting with the installation of Python and Selenium, you'll learn the basics of Python and progress to writing flawless programs.
You'll then run tests across different browsers using the Selenium Python package. The course covers running unit tests with the Pytest framework, developing an end-to-end Selenium Python framework, and integrating it with Jenkins CI. You'll also learn to read and write data from Excel within the framework.
Additionally, you'll get an overview of Git, understand the importance of GitHub, and learn to manage staging, commit, and resolve merge conflicts. By the end, you'll be proficient in using Python and Selenium for automation testing.
Key learning objectives include understanding Python's data types and program flow, automating HTML web tables, handling dynamic dropdowns, advanced user interactions, logging HTML reports, and implementing a data-driven approach by removing hard-coded data from tests. This course is ideal for both newcomers to testing and experienced manual testers looking to learn automation testing with Python and Selenium, requiring no prior experience in Python programming or automation testing.
Applied Learning Project
The included projects focus on real-world scenarios, such as automating web interactions with dynamic elements and handling cross-browser testing. Learners will apply these skills to develop robust test automation frameworks that address practical challenges in web application testing.
