Duration
12 Weeks
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Lectures
60+ Sessions
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Projects
8 Hands-on Projects
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Skill Level
Beginner to Advanced
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Language
English
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Certificate
Yes, upon completion
Lead Instructor
Ananya Desai
Python QA Automation Expert
Ananya has over 7 years of experience in Python test automation and quality assurance. She has worked with startups and Fortune 500 companies implementing robust testing solutions and is certified in various Python testing methodologies.
Prerequisites
- Basic understanding of programming concepts
- Familiarity with HTML and CSS (helpful but not required)
- A computer with internet access
- Eagerness to learn and practice
Course Description
Our Python TestCraft course is designed to transform you into a skilled QA professional specializing in Python-based testing and automation. This comprehensive program covers everything from testing fundamentals to advanced automation frameworks and CI/CD integration. You'll learn to design, implement, and maintain robust test suites for Python applications using industry-standard tools and methodologies. Python's simplicity and powerful testing ecosystem make it an ideal language for test automation. With the increasing demand for quality assurance in software development, skilled Python test automation engineers are highly sought after in the job market.
Python Testing Ecosystem
Master pytest, unittest, and more
Automation Frameworks
Learn Selenium, Behave, and Robot Framework
API Testing
Master requests, pytest-bdd, and Postman
CI/CD Integration
Implement testing in modern pipelines
Course Objectives
- Understand software testing principles, methodologies, and best practices
- Master Python-based testing frameworks including pytest and unittest
- Develop proficiency in Selenium WebDriver with Python for web application testing
- Implement API testing using requests and pytest-bdd
- Create and maintain test automation frameworks using Python
- Design effective test cases and test suites
- Implement continuous integration for automated testing
- Perform performance testing using Locust
- Generate comprehensive test reports and metrics
- Apply best practices for test code organization and maintenance
Course Objectives
Module 1: Testing Fundamentals and Python Basics
- Introduction to software testing
- Testing types and levels
- Test planning and strategy
- Test case design techniques
- Python fundamentals for testers
- Object-oriented programming in Python
- Python data structures and functions
- File handling and exception management
- Python virtual environments
- Project: Creating a test plan and basic Python test scripts
Module 2: Unit Testing with pytest and unittest
- Introduction to unittest framework
- Writing test cases with unittest
- Test fixtures and setup/teardown
- Introduction to pytest
- pytest fixtures and plugins
- Parameterized testing
- Test discovery and organization
- Assertions and test validation
- Code coverage with pytest-cov
- Project: Unit testing a Python application
Module 3: Mocking and Integration Testing
- Introduction to mocking
- unittest.mock library
- Creating mock objects
- Patching and stubbing
- Integration testing concepts
- Testing with databases
- Testing Flask applications
- Testing Django applications
- Fixtures for integration tests
- Project: Integration testing with mocks
Module 4: Web UI Testing with Selenium
- Introduction to Selenium WebDriver
- Setting up Selenium with Python
- Browser drivers and configuration
- Locating web elements
- WebDriver commands and interactions
- Handling alerts, frames, and windows
- Synchronization and waits
- Advanced user interactions
- Cross-browser testing
- Project: Automating web application testing
Module 5: Behavior-Driven Development (BDD)
- Introduction to BDD
- Gherkin syntax and feature files
- Behave framework
- Writing step definitions
- Scenario outlines and examples
- pytest-bdd framework
- Robot Framework basics
- Keyword-driven testing
- BDD best practices
- Project: Implementing BDD tests
Module 6: API Testing
- Introduction to API testing
- HTTP methods and request specifications
- Python requests library
- API testing with pytest
- Response validation
- JSON and XML parsing
- Authentication and authorization testing
- API test automation frameworks
- Postman with Python integration
Module 7: Performance and Security Testing
- Introduction to performance testing
- Locust framework setup and configuration
- Creating load test scenarios
- Performance metrics and analysis
- Introduction to security testing
- OWASP Top 10 vulnerabilities
- Security testing tools with Python
- Penetration testing basics
- Reporting security issues
- Project: Performance and security testing
Module 8: CI/CD Integration and Capstone Project
- Introduction to CI/CD
- GitHub Actions for test automation
- Jenkins setup and configuration
- Creating CI/CD pipelines
- Test execution scheduling
- Test result reporting and notifications
- Docker for testing environments
- Test automation in DevOps pipelines
- Capstone project planning and implementation
- Final Project: End-to-end test automation solution
Projects You'll Build
E-Commerce Test Framework
Build a comprehensive Python-based test automation framework for an e-commerce application, including UI, API, and performance tests.
CI/CD Pipeline Integration
Implement automated testing in a CI/CD pipeline with GitHub Actions, including reporting and notifications.
Performance Testing Suite
Create a Locust-based performance testing solution with custom reporting and analysis.
BDD Test Framework
Develop a behavior-driven development framework using pytest-bdd or Behave for feature testing.