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Ai-Driven Software Testing For Qa Engineers

Category: Tutorials


Ai-Driven Software Testing For Qa Engineers
Ai-Driven Software Testing For Qa Engineers
Last updated 2/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 51m | Size: 4.25 GB

2026 - Hands-on AI-driven testing workflows for modern QA teams and test automation engineers
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.
Requirements
Basic understanding of QA fundamentals
Description
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
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



   
   
   


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