Build GenAI & Multi-Agent Systems Tools for Software Testing

Build powerful AI Agents and Multi-Agent tools for QA workflows using LangChain and AutoGen — hands-on & practical !

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

Requirements
Basic knowledge of python or any programming language
Basic knowledge of working with ChatGPT or simple prompts

Description
Welcome to my course Build GenAI & Multi-Agent Systems Tools for Software TestingIn 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 automationCreate custom tools that read PDFs, parse logs, and generate test casesStore and query data using vector stores with embeddingsBuild a RAG-powered agent that analyzes logs using context retrievalDevelop a Test Case Generator Agent from product requirementsUse Playwright with agents to simulate web scraping and behavior testingOrchestrate multi-agent collaboration using AutoGen and AutoGen StudioConstruct fully automated agents that read requirements and output test casesDesign multi-agent QA systems that mimic real QA workflows with minimal human inputWhy This Course is UniqueMost AI courses focus on chatbots or language tasks. This course goes deep into the testing lifecycle and shows you how to build intelligent, context-aware agents for software quality assurance. You’ll move beyond theory and actually build working tools that:Read your requirementsUnderstand logs and test resultsGenerate test scripts and summariesWork together as a team of AI testersAll using open-source tools, local models, and practical Python code.

Who this course is for:
QA, Dev, AI QA, DevOps, AI Agentic Engineers