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Course Outline

Getting Started with Selenium and Python

  • The rationale for choosing Selenium for web testing
  • The benefits of Python compared to other languages in test automation
  • Practical real-world applications of Selenium and Python

Installation and Configuration

  • Installing Python and setting up Integrated Development Environments (IDEs) like PyCharm or VS Code
  • Installing Selenium and the necessary WebDrivers
  • Configuring Pytest as the primary test runner

Selenium 4 Architecture and Core Components

  • Selenium IDE: Utilizing quick record-and-playback features
  • Selenium WebDriver: Exploring browser automation APIs
  • Selenium Grid: Enabling parallel and distributed testing

Essential Python Scripting for Automation

  • Core Python concepts essential for testers
  • Utilizing data structures within test scripts
  • Leveraging Pytest for assertions and fixtures

Practical WebDriver Applications

  • Navigating through web applications
  • Element identification: Locators, CSS selectors, XPath, and relative locators
  • Managing forms, alerts, iframes, and dropdown menus

Framework Architecture using Page Object Model (POM)

  • Overview of the Page Object Model
  • Creating reusable page classes
  • Developing data-driven and keyword-driven tests

Advanced Automation Techniques

  • Executing tests on various browser platforms
  • Performing parallel testing with Selenium Grid and Pytest-xdist
  • Strategies for effective cross-browser testing

Continuous Integration and Test Reporting

  • Connecting tests to Jenkins, GitHub Actions, or GitLab CI
  • Generating comprehensive reports using Allure or Pytest-html
  • Applying version control and best practices with Git

Problem Solving and Industry Best Practices

  • Addressing common challenges related to locators, waits, and synchronization
  • Mitigating flaky test issues to ensure stability
  • Adopting best practices for maintaining robust test suites

Conclusion and Future Directions

Requirements

  • Foundational experience in Python programming
  • Basic understanding of test automation principles
  • Familiarity with web applications and modern browsers

Target Audience

  • Quality Assurance Testers
  • Software Developers
  • QA Automation Engineers
 14 Hours

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