Udemy – Build Agentic AI & Multi-Agent System for Software Testing 2026-5

Updated August 10, 2026 4.65 GB

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Descriptions

Build Agentic AI & Multi-Agent System 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. You will understand the core concepts behind these technologies, run powerful open-source LLMs locally using Ollama, and use LangChain to build intelligent tools and agents for QA automation. This course equips you with practical techniques to bring AI-driven efficiency into your testing lifecycle, moving beyond theory to build working tools that read requirements, understand logs, generate test scripts, and work together as a team of AI testers, all using open-source tools and practical Python code.

The curriculum covers creating custom tools that read PDFs, parse logs, and generate test cases, as well as storing and querying data using vector stores with embeddings. You will build a RAG-powered agent that analyzes logs, develop a Test Case Generator Agent from product requirements, and use Playwright with agents to simulate web scraping and behavior testing. The course also teaches you to orchestrate multi-agent collaboration using AutoGen and AutoGen Studio, constructing fully automated agents that read requirements and output test cases, and designing multi-agent QA systems that mimic real QA workflows with minimal human input.

What you’ll learn

Understand the power of LLMs in Software Testing
Understand how to use LangChain to interact with LLMs
Understand how to using Local LLMs with Ollama for Building Agent tools with LangChain
Understand building AI Agents, MultiAgents and Toolings for Software Testing
Understand the power of AI Agents to simplify Software Testing processes