The Testing with Python course is designed to help learners master the art of writing reliable, efficient, and maintainable tests for Python applications. This program introduces the core concepts of software testing, including unit testing, integration testing, and automation frameworks. Through practical, hands-on projects, learners will explore tools like gaining real-world experience in test-driven development (TDD) and continuous integration (CI/CD) practices. By the end of the course, participants will be able to ensure high-quality, bug-free code, streamline debugging processes, and confidently contribute to professional software development teams.
Module 1: Introduction to Software Testing Basics of software testing and QA process Types of testing: Manual vs. Automated Testing life cycle and test case design.
Module 2: Python Fundamentals for Testers Python basics: data types, loops, functions, and OOP concepts Writing reusable and maintainable Python scripts Working with files, exceptions, and logging.
Module 3: Unit Testing with Unittest Framework Introduction to Unittest Writing and organizing test cases Assertions and test suites Running and debugging tests.
Module 4: Advanced Testing with PyTest PyTest setup and configuration Fixtures, markers, and parameterization Test discovery and parallel execution Integrating PyTest with CI/CD.
Module 5: Web Application Testing with Selenium Introduction to Selenium WebDriver Locating elements and performing actions Automating browser interactions Data-driven testing with Selenium and Python.
Module 6: API Testing with Python REST API fundamentals Using Requests library for API automation Validating responses and status codes Postman and automated API workflows.
Module 7: Test-Driven Development (TDD) Concepts Introduction to TDDÂ Writing tests before code Refactoring and maintaining testable code Real-world TDD implementation.
Module 8: Continuous Integration and Test Automation CI/CD overview Integrating tests with Jenkins and GitHub Actions Automating builds and deployments Report generation and notifications.
Module 9: Performance and Security Testing Basics Understanding performance metrics Load testing tools and Python-based frameworks Basic security testing using Python scripts.
Module 10: Industry Projects and Case Studies Building a complete automation framework End-to-end web testing project API automation project Final evaluation and project presentation.
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Email: coursedivine@gmail.com
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