Introduction

Python has emerged as one of the most popular programming languages for test automation due to its simplicity, versatility, and robust libraries. This course is designed to equip participants with the knowledge and skills to automate testing processes, ranging from basic concepts to advanced test automation frameworks. Whether you’re a beginner or looking to enhance your existing skills, this course covers everything you need to master Python for test automation.

Prerequisites

• Basic understanding of programming concepts.
• Familiarity with testing principles (optional but beneficial).
• A computer with Python installed and a code editor.

Table of Contents

1. Introduction
1.1 Why Use Python for Test Automation?
1.2 Overview of Automation Tools and Libraries
1.3 Setting Up the Development Environment

2. Python Programming Essentials for Automation
2.1 Python Basics: Syntax, Variables, and Data Types
2.2 Functions, Loops, and Conditional Statements
2.3 Working with Modules and Packages

3. Introduction to Test Automation Concepts
3.1 Manual vs. Automated Testing
3.2 Types of Tests: Unit, Integration, Functional, and End-to-End
3.3 Writing Test Cases

4. Using Python Testing Frameworks
4.1 Introduction to Pytest
4.2 Writing and Running Tests with Pytest
4.3 Using Assertions and Test Fixtures

5. Web Application Test Automation with Selenium
5.1 Introduction to Selenium WebDriver
5.2 Setting Up Selenium with Python(Ref: Python Basics for Data Science)
5.3 Locating Web Elements with XPath and CSS Selectors
5.4 Writing Test Scripts for Web Applications

6. API Test Automation with Python
6.1 Introduction to API Testing
6.2 Using Python Libraries like Requests
6.3 Writing and Validating API Test Cases
6.4 Automating REST and SOAP APIs

7. Database Test Automation
7.1 Connecting to Databases with Python
7.2 Performing CRUD Operations for Testing
7.3 Validating Database Integrity

8. Advanced Test Automation Frameworks
8.1 Designing Scalable Test Frameworks
8.2 Parameterizing Tests and Data-Driven Testing
8.3 Logging and Reporting Test Results

9. Continuous Integration and Deployment
9.1 Integrating Test Automation with CI/CD Tools (Jenkins, GitHub Actions)
9.2 Running Automated Tests in CI/CD Pipelines
9.3 Debugging and Troubleshooting Issues

10. Best Practices in Test Automation
10.1 Writing Maintainable and Reusable Code
10.2 Avoiding Common Pitfalls in Test Automation
10.3 Ensuring Test Coverage and Reliability

11. Final Project
11.1 Automating a Web Application: End-to-End Testing
11.2 Writing API and Database Test Cases
11.3 Generating Reports and Presenting Results

Conclusion

By completing this course, participants will gain the expertise to build efficient and scalable test automation frameworks using Python. They will be equipped to handle real-world testing challenges, ensuring software quality and reliability in their projects. This course sets a strong foundation for advancing your career in test automation and quality assurance.

Reference