| File Name: | Generative AI for QA Engineers Agents, RAG, LLM testing |
| Content Source: | https://www.udemy.com/course/generative-ai-for-qa-engineers-agents-rag-llm-testing/?couponCode=LETSLEARNNOW |
| Genre / Category: | Other Tutorials |
| File Size : | 780.7 MB |
| Publisher: | GenerativeAI Techshila |
| Updated and Published: | July 9, 2025 |
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.
Who this course is for:
- This course is specifically designed for professionals in the software testing and quality assurance domain who are looking to upskill in the fast-evolving field of AI testing. It will be especially valuable for:
- QA Engineers looking to expand their skillset into AI-powered testing tools and techniques.
- Software Testers aiming to understand how to test AI applications like LLMs, RAG systems, and Agents
- Team Leads and QA Managers who want to drive innovation in their teams by integrating AI tools into traditional testing workflows.
- Automation Engineers seeking to explore autonomous testing using Agentic AI and modern test frameworks.
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