Karthik KK

2026-Using Gen AI & AI Agent in Software Automation Testing

5.0 · 1 reviews

The software testing landscape is undergoing a massive paradigm shift, and this course, led by industry expert Karthik KK, serves as the ultimate roadmap for QA professionals looking to master AI-driven quality assurance. '2026-Using Gen AI & AI Agent in Software Automation Testing' bridges the gap between traditional test automation and the next generation of intelligent systems. Learners will dive deep into how Generative AI, RAG (Retrieval-Augmented Generation), and autonomous AI agents are revolutionizing both manual and automated testing workflows. Starting with the fundamentals of LLMs, the course covers deploying local models like Llama 3.x to secure data processing within local machines. Students will gain hands-on experience using cutting-edge AI-native testing tools such as TestRigor, ZeroStep, and Playwright AI. Beyond tool usage, the curriculum focuses on adding true intelligence to your custom test code by integrating Gen AI APIs, enabling self-healing scripts and smart assertion logic. Whether you are a manual tester aiming to transition into the AI era, or a seasoned automation engineer looking to augment your Playwright or Selenium frameworks with machine intelligence, this comprehensive guide provides the practical skills required to design, execute, and maintain high-efficiency test suites in modern enterprise environments.

ZERO Code AI Tests: Automate Software Tests in Plain English

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In an era where software quality assurance is rapidly evolving, manual testing can become a significant bottleneck. This course provides a forward-thinking solution by teaching you how to integrate Artificial Intelligence into your testing lifecycle without requiring deep programming expertise. By focusing on zero-code automation, the curriculum democratizes the use of AI, allowing testers, quality assurance engineers, and product owners to build sophisticated testing agents using intuitive interfaces. You will dive deep into the mechanics of Large Language Models, prompt engineering, and the architectural power of AI agents. A standout feature of this program is its practical focus on n8n and Vibe testing tools, which empower students to orchestrate complex workflows that execute tests, analyze results, and report issues autonomously. Beyond the surface-level tools, the course covers the creation of custom AI agent skills and the utilization of MCP servers to create robust, future-proof testing ecosystems. Whether you are aiming to reduce regression testing time or looking to incorporate generative AI into your CI/CD pipelines, this training provides the bridge between abstract AI theory and tangible software engineering results, ensuring you stay competitive in the shifting landscape of modern DevOps.

AI-Driven Test Automation: Playwright, Selenium, LLMs & More

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In the rapidly evolving landscape of software quality assurance, the fusion of AI with traditional testing tools is a game-changer. This comprehensive course, led by industry expert Karthik KK, bridges the gap between classic test automation and modern artificial intelligence. It empowers QA engineers, SDETs, and developers to build resilient, next-generation automation frameworks from the ground up. By utilizing cutting-edge tools like Playwright and Selenium alongside Large Language Models (LLMs), learners will discover how to combat the perennial issue of flaky UI tests. The curriculum covers essential concepts such as prompt engineering, context engineering, and the practical implementation of self-healing locators. Additionally, the course dives deep into running local LLMs to ensure data privacy and reducing API costs while maintaining robust test suites. Through hands-on exercises, participants will master caching techniques, visual regression testing, and intelligent error handling. Whether you are aiming to modernize an existing test suite or design a future-proof automation framework from scratch, this course delivers the practical skills required to stay ahead in the AI-driven tech landscape.

Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM

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Unlock the power of offline AI development with Karthik KK's comprehensive guide on building and testing AI Agents, Chatbots, and Retrieval-Augmented Generation (RAG) pipelines locally. Designed for developers prioritizing privacy and cost-efficiency, this course guides you through running local Large Language Models (LLMs) using Ollama on your personal machine. You will dive deep into LangChain to orchestrate complex chains, prompt templates, and conversational histories. Step-by-step, you will construct responsive chatbots that maintain context, build robust RAG systems integrated with local vector databases, and implement embeddings for semantic search. Moving beyond basic chatbots, the curriculum teaches you how to empower your models with tool-use capabilities to create autonomous AI Agents. Finally, you will master the crucial stage of LLM application development: evaluation. Using LangSmith and the RAGAs framework, you will learn to rigorously test, trace, and optimize your local AI agents and RAG pipelines. This course is an invaluable resource for software engineers, AI developers, and tech enthusiasts looking to build secure, production-grade local AI solutions without relying on expensive cloud APIs.