Build GenAI & Multi-Agent Systems Tools for Software Testing

<div>Welcome to my course <u><b>Build GenAI &amp; Multi-Agent Systems Tools for Software Testing</b></u></div><div><br></div><div>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.</div><div><br></div><div>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.</div><div><br></div><div><span style="font-size: 1rem;">By the end of this course, you will be able to:</span></div><div><ul><li><span style="font-size: 1rem;">Understand the core concepts behind GenAI, AI Agents, and Multi-Agent Systems</span></li><li><span style="font-size: 1rem;">Run powerful open-source LLMs locally using Ollama (no paid API needed)</span></li><li><span style="font-size: 1rem;">Use LangChain to build intelligent tools and agents for QA automation</span></li><li><span style="font-size: 1rem;">Create custom tools that read PDFs, parse logs, and generate test cases</span></li><li><span style="font-size: 1rem;">Store and query data using vector stores with embeddings</span></li><li><span style="font-size: 1rem;">Build a RAG-powered agent that analyzes logs using context retrieval</span></li><li><span style="font-size: 1rem;">Develop a Test Case Generator Agent from product requirements</span></li><li><span style="font-size: 1rem;">Use Playwright with agents to simulate web scraping and behavior testing</span></li><li><span style="font-size: 1rem;">Orchestrate multi-agent collaboration using AutoGen and AutoGen Studio</span></li><li><span style="font-size: 1rem;">Construct fully automated agents that read requirements and output test cases</span></li><li><span style="font-size: 1rem;">Design multi-agent QA systems that mimic real QA workflows with minimal human input</span></li></ul></div><div><span style="font-size: 1rem;">Why This Course is Unique</span></div><div><br></div><div>Most 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:</div><div><br></div><div><ul><li>Read your requirements</li><li><span style="font-size: 1rem;">Understand logs and test results</span></li><li><span style="font-size: 1rem;">Generate test scripts and summaries</span></li><li><span style="font-size: 1rem;">Work together as a team of AI testers</span></li></ul></div><div><span style="font-size: 1rem;"><br></span></div><div><span style="font-size: 1rem;">All using open-source tools, local models, and practical Python code.</span></div>

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