Build Agentic AI & Multi-Agent System for Software Testing (Udemy.com)
Build AI Agents, Playwright MCP Server, Multi-Agents for QA workflows with LangChain, AutoGen & Local LLM - Practical !
Created by: Karthik KK
Last updated August 2026
What you will 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
How it compares
Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:
- Rating4.4 out of 5higher than 28% of them
- Reviews317#492 of 849 by number of reviews
- Length10.4 hourslonger than 58% of them
- Last updatedAugust 2026more recently than 79% of them
Course Description
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 Systems
Run 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 Studio
Construct fully automated agents that read requirements and output test cases
Design multi-agent QA systems that mimic real QA workflows with minimal human input
Why This Course is Unique
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:
Read your requirements
Understand logs and test results
Generate test scripts and summaries
Work together as a team of AI testers
All using open-source tools, local models, and practical Python code.
Instructor Details
- 4.4 Rating
317 Reviews
Karthik KK
I am Karthik K.K. I do consulting, blogging and researching on various different tools and technologies which inspire my interest. I have been into Software Automation Testing for over 20 years now and my interest in learning new stuffs which enables automation has never been compromised.
Due to my passion in automation testing I got fully exposed to tools and languages like
AI and Machine Learning: Built an Tool for Playwright MCP Server, LangChain, DeepEval, RAGAs, HuggingFace, Fine-tuning LLMs
Desktop & Web : Cypress, Selenium, Specflow,Puppeteer,Plawright, UFT, VS Coded UI, Ranorex ,Test Complete and Cucumber
Mobile : Appium, Robotium,Calabash, Espresso, Selendroid
Languages : C#, Java, Ruby, Powershell, Javascript, VBScript
Cloud Tools : Azure, Dockers
Misc Tools: Mockito, Rest-assured, Bound-Box,FluentAutomation
Interested in: MVC, Entity framework, LINQ, Fakes, Distributed deployment, SAAS, Event-Driven System
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Reviews
By Shrawan Yenumula on 12/29/2025
Hey Karthik, This course is really awesome. It gave me a good introduction from beginning to the end of how we define the Playwright tools or MCP tools and also how do we configure our AI agents and everything. This is really nice but I would like to know that there are some issues like issues with using see even this MCP server is good for the cloud but how do we need to look for Ollama? Like if we have already used this Ollama for previous usage but immediately the tool switching is a little difficult but rest everything is awesome and I have learned many things with hands on. Thank you so much! Keep up the good work. I've been following you from many days and this is one of the next level course. Thank you so much!
By Alexander Pushkaryov on 12/6/2025
Big chunk of the course uses outdated info which some of the students fill in more efficiently in the comments than the lector. Examples of AI usage here would be impressive 5-10 years ago, now nowadays they are shallow and of no use in real projects.
By Kevin Burr on 11/28/2025
Karthik is an excellent teacher, and the course gives a great over view of agentic approaches to test automation. However, much of the code in the examples does not work on Windows, and while this is an excellent way to learn Windows debugging it takes away from the course as a whole. Either the course should be fixed or noted that it does not support Windows.
By Nishant kumar on 11/5/2025
Really liked about the detailed illustrations about the Langchains and how to create the agent using Langchain. Next part was to create the multiagent using Autogen and lastly well explained the development of MCP servers. The Course is nice for beginners level. One thing could be added about which approach will be best use case for in organizations. this could be really beneficial for the real use at the organization level.
By Rachit Saurabh on 10/24/2025
I am working on a Windows machine and have faced several issues while following the lectures. Many times, I encountered errors on import lines - sometimes due to version conflicts, and other times due to sync vs async issues. The exact code from the lectures doesn’t run correctly on my Windows setup in one go, and I had to do a lot of back-and-forth debugging to make it work. I’m wondering if others have faced the same issues or if it’s specific to my environment.
By Yasmin on 7/23/2025
I signed up thinking, “Okay, let’s see what this AI agent hype is all about…” and BAM — I was building my own AI tester in no time This course feels like ChatGPT, GitHub Copilot, and testing tools had a baby. Super fun, super practical, and finally… I’m not scared of LangChain anymore Just do it — your future AI overlords will thank you.
By Usmail on 7/23/2025
This course didn’t just teach me AI Agent testing — it changed how I see QA. From manual scripts to intelligent automation using GenAI, I’ve made a leap forward in my career. The instructor’s clarity, real demos, and use of cutting-edge tools like LangChain + Ollama are simply next level. If you’re even thinking of learning AI for software testing… this is the course.
By Sultana on 7/23/2025
Third course from this instructor — and the best one yet!” This is my third AI course in the series by this instructor (after taking the DeepEval + RAGAS and LangChain + RAG ones), and once again, it delivers beyond expectations. The content is super practical — I actually built AI Agents that can run tests, debug code, and even auto-fix bugs using just prompts! The way tools like LangChain, LangGraph, LangSmith, and Ollama are used is very hands-on and relevant.
By Craig Jordon on 7/7/2025
Che, as the head honcho of QA, I've already been using the company's ChatGPT for our stuff and it's been a massive time-saver, a real golazo. I'm super keen to get my hands on those AI tools and languages that Karthik was talking about in the session. I want to start messing with them on my project, you know, to come up with some killer new things that'll be a win for my clients and the company.
By Rahul Jain on 7/4/2025
I think the only course which covers AI Agent and MultiAgent for Software Testing. I am excited to build all of these knowledge I gained in this course in my QA workflow at work ! Taking all the courses from Karthik on AI, they are so interconnected, Thanks !
Quality Score
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Overall Score : 88 / 100












