Build Agentic AI & Multi-Agent System for Software Testing

About this course

Welcome to my course Build GenAI & Multi-Agent Systems Tools for Software Testing

In this hands-on course, you’ll learn to harness the power of Generative AI, AI Agents, and Multi-Agent Systems to build real-world tools for software testing. Whether you’re a QA engineer, SDET, or developer aiming to level up your automation skills, this course equips you with practical techniques to bring AI-driven efficiency into your testing lifecycle.

Today, QA engineers are no longer limited to writing test cases and checking logs manually. With the rapid growth of LLMs (like ChatGPT, LLaMA, and Gemini) and frameworks like LangChain and AutoGen, you can now build autonomous test agents, automate log analysis, and even create collaborative multi-agent testing systems. This course gives you the tools, patterns, and hands-on skills to make that leap.

By the end of this course, you will be able to:

Understand the core concepts behind GenAI, AI Agents, and Multi-Agent SystemsRun powerful open-source LLMs locally using Ollama (no paid API needed)Use LangChain to build intelligent tools and agents for QA automation

Create custom tools that read PDFs, parse logs, and generate test cases

Store and query data using vector stores with embeddings

Build a RAG-powered agent that analyzes logs using context retrieval

Develop a Test Case Generator Agent from product requirements

Use Playwright with agents to simulate web scraping and behavior testing

Orchestrate multi-agent collaboration using AutoGen and AutoGen StudioConstruct fully automated agents that read requirements and output test cases

Design multi-agent QA systems that mimic r

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.