Build a Real-World Automation Framework Using Python, Playwright, pytest & GenAI Tools Like ChatGPT
Unlock the power of GenAI to build a real-world, scalable test automation framework in just 2 hours!
What you’ll learn
- As a QA Automation Engineers, SDET’s, QE Solution Architects, you will learn Prompt Creation for Effective Output.
- Adding Details to Framework, Creation of Page/API Classes and managing configurations dynamically.
- Optimized Framework with Fixtures and Fixing Build Issues with GenAI.
- Test Execution in Local and Test Execution in CI Tool like Github Actions.
- Report Generation.
Course Content
- Introduction –> 1 lecture • 6min.
- Prompt Creation for Effective Output –> 4 lectures • 26min.
- Adding details to Framework –> 1 lecture • 7min.
- Creation of Page Classes –> 2 lectures • 10min.
- Config reader for reading configurations –> 1 lecture • 13min.
- Optimized Framework with Conftest.py –> 1 lecture • 11min.
- Fixing Build Issues –> 2 lectures • 18min.
- Test Execution In Local –> 2 lectures • 8min.
- Test Execution in CI tool –> 7 lectures • 33min.
- Report Generation –> 1 lecture • 10min.
- Thankyou Note !! –> 0 lectures • 0min.
Requirements
Unlock the power of GenAI to build a real-world, scalable test automation framework in just 2 hours!
This course is designed for QA Engineers, SDETs, and automation enthusiasts who want to supercharge their productivity by leveraging GenAI tools like ChatGPT to build efficient and modern test automation frameworks.
You’ll learn to combine tools like Python, Playwright, Pytest, Requests, and GitHub Actions—along with AI assistance—to automate everything from UI and API testing to CI/CD pipeline execution.
Whether you’re a beginner or an experienced QA professional, this course walks you through the complete process of creating a reusable, modular, and industry-ready automation framework—without spending weeks writing boilerplate code.
Course Breakdown – 9 Practical Modules
- Prompt Engineering for Effective AI Output
- Structuring Framework Components
- Creating Page and API Classes
- Environment-Specific Config Management
- Optimizing Framework with Pytest Fixtures
- Fixing and Refactoring with GenAI
- Executing Tests Locally
- Running Tests via CI Tools like GitHub Actions
- Generating Test Reports for Visibility
Tools and Technologies Covered
- Python, Pytest, Playwright, Requests
- GitHub Actions, pytest-html
- ChatGPT and Prompt Engineering
- YAML-based configuration management
Why Take This Course?
- Learn how to integrate GenAI with practical QA automation workflows
- Build a test framework used by modern QA teams
- Deliver automation faster and with better maintainability
- Gain hands-on experience with industry tools and practices
- Lifetime access to course updates and best practices