Building Scalable Test Automation Frameworks with GenAI

About this course

This course is designed for QA Engineers, Automation Engineers, and SDETs who want to build a scalable, reusable Playwright automation framework using Python and Pytest, with the help of Generative AI tools.

Rather than spending weeks writing boilerplate code, this course demonstrates how GenAI can assist in designing framework structure, generating reusable components, and accelerating development—while still following enterprise automation best practices.

You will learn how to design a modular automation framework that supports:

• Web UI automation with PlaywrightAPI testing using Requests
• Environment-specific configuration management
• Parallel and headless executionCI/CD integration using GitHub ActionsReporting and failure visibility

The course is fully hands-on and project-driven, guiding you through the complete lifecycle of building, executing, and maintaining a production-style automation framework.

By the end of the course, you will have a professional Playwright automation framework and a clear understanding of how AI can responsibly improve automation productivity.

What you will be able to do after this course

Design a scalable Playwright automation framework with Python

Build reusable Page Objects and API layers

Manage environment configurations using YAML files

Optimize execution using Pytest fixtures and hooks

Execute tests locally and in CI pipelines

Integrate automation with GitHub ActionsGenerate and publish test execution reports

Use GenAI effectively to accelerate framework development

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