In this module, we will explore the fundamentals and advanced features of the pytest framework. We will start with understanding the advantages of pytest, and move on to running tests from the terminal, selecting specific tests to run, and grouping tests using pytest marks. Additionally, we will cover the importance of fixtures and the conftest file, delve into data-driven testing, and learn how to generate comprehensive HTML reports for test cases.

In this module, we will focus on the importance of logging within Python tests and how to integrate these logs into HTML reports. We will begin with an introduction to logging in Python tests and the crucial role of file handlers. Then, we will move on to building reusable utilities for logging and demonstrate how to incorporate these logs into pytest-generated HTML reports for better test management and analysis.

In this module, we will guide you through the process of developing an end-to-end Selenium Python framework from scratch. Starting with an overview of Selenium updates and best practices for writing tests, we will delve into generalizing browser invocation code, creating setup fixtures, and passing command-line options for browser selection. We will also cover the implementation and optimization of page objects, creating custom utilities, and integrating logging and data-driven testing mechanisms to enhance the robustness and maintainability of your test framework.

In this module, we will explore how to integrate your Selenium Python framework with Jenkins, a popular CI/CD tool. We will start with an introduction to Jenkins and its functionalities. Then, we will demonstrate the integration of your test framework into Jenkins, setting up parameterized job variables for browser selection, and creating JUnit results using pytest commands to streamline your continuous integration and delivery processes.

In this module, we will cover the essentials of incorporating Excel data-driven testing into your Selenium Python framework. We will begin with an introduction to the concept and benefits of Excel data-driven testing. Following that, we will demonstrate how to read and write data from Excel files, build utilities to retrieve and load data, and integrate these utilities into your Selenium Python framework for efficient data management and testing.

In this module, we will wrap up the course by summarizing the key concepts and skills you have learned. We will provide valuable tips and best practices to help you apply your newfound knowledge in a new job, focusing on continuous improvement and effective test automation strategies.

In this module, we will conclude the course with a thank-you note and helpful final tips for launching your automation testing career. You'll have the tools and confidence you need to succeed in your new role.

In this module, we will delve into the fundamentals of Git, a critical version control system for managing code. We will start with an introduction to Git and its importance, followed by creating Git configurations and repositories. We will cover key concepts such as staging and committing changes, adding remote repositories, and performing end-to-end working examples on Git commands. Additionally, we will explore the importance of branching in Git and provide practical guidance on resolving merge conflicts.