AI-Driven Software Testing for QA Engineers

Welcome to "AI-Driven Software Testing for QA Engineers" — the first-of-its-kind course that bridges cutting-edge GenAI technologies with the practical world of Software Quality Assurance (QA).
This course is designed specifically for QA Engineers, Test Automation Engineers, SDETs, and QA Leads who want to apply Generative AI in real-world software testing workflows.

Whether you're a manual tester, automation engineer, QA architect, or a test lead looking to modernize your QA workflows, this course will show you how to leverage Generative AI tools like ChatGPT, Gemini to automate and accelerate your testing processes like never before.

What You’ll Learn:

• How to use GenAI to generate test cases from user stories, BRDs, and acceptance criteria

• Auto-generate API, UI, and functional test scripts using ChatGPT/Gemini prompts

• Create fully functional test automation frameworks using Playwright, Pytest, Python, Python Request libraries using AI.

• Create fully functional test automation frameworks using Selenium, TestNG, Java, Rest Assured using AI.

• AI Agent Browser Automation with Playwright MCP.

• Github Copilot as AI Pair Programmer for SDET's

• AI Automation with n8n for QA Engineers ( Requirement and test case analysis, Test planning and execution orchestration, Database validation and data checks, Defect creation and updates in Jira ,Test reporting, notifications, and workflow-based alerts)

Who This Course Is For:

• Teams exploring AI adoption in enterprise testing

• Software Engineers involved in testing

• QA Engineers and Test Leads looking to future-proof their skills

• Manual testers eager to break into AI-driven automation

• SDETs and Automation Architects exploring GenAI-enhanced frameworks

• Tech professionals curious about real-world GenAI applications

Why this course is different

• Focuses on real QA workflows, not AI theory

• Designed for working professionals and enterprise teams

• Demonstrates practical AI adoption, not hype

• Complements existing automation tools like Selenium, Playwright, and API testing frameworks

Prerequisites:

• Basic understanding of QA fundamentals

• Familiarity with any programming language (preferably Python/Java)

• No prior AI/ML knowledge required – we’ll walk you through it all!

By the end of this course, you will:

• Be able to automate complex QA tasks using GenAI

• Transform traditional QA workflows into intelligent and scalable test automation frameworks.