AIFLX

Library / Artificial Intelligence

Generative AI for QA Engineers Agents, RAG, LLM testing

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About this course

As AI rapidly transforms the software industry, the role of QA is evolving just as fast. This course is designed to help QA professionals stay ahead by equipping them with the practical skills needed to test modern AI applications and integrate Generative AI into traditional QA workflows.

Whether you're testing LLMs, RAG systems, or building autonomous agent-based testing pipelines, this course will provide you with step-by-step guidance, hands-on experience, and a strong foundation in AI-powered quality assurance. What You’ll Learn:

Module 1: Master AI Agent Application Testing

Design and implement comprehensive testing strategies to test Agents, Retrieval-Augmented Generation (RAG) systems, and LLM applications using cutting-edge tools and frameworks.

Module 2: Implement Autonomous AI Testing with Agents

Learn to build autonomous, low-intervention testing workflows using browser agents, mcp and tools that simulate real user behavior .Module 3: Enhance Traditional QA with Generative AI

Use tools like ChatGPT, GitHub Copilot, and DeepSeek to generate test cases, automation scripts, bug reports, and enhance everyday QA activities.

Module 4: Utilize Modern AI Testing Tools

Get hands-on with tools like TestRigor, Playwright MCP Server, and Applitools to enable intelligent automation, smart UI testing, and rapid test generation. Are There Any Prerequisites?

No deep AI expertise is needed, but learners should have the following to get the most out of this course:

  • Basic Python Knowledge: Ability to write simple scripts and work with lists, dictionaries, and functions.
  • QA or Software Engineering Background: Familiarity with test cases, bu

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