Rahul Shetty Academy

Learn Agentic AI – Build Multi-Agent Automation Workflows

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The shift from standard Large Language Model applications to true Agentic AI marks a significant evolution in software engineering. This course serves as a comprehensive guide for professionals looking to move beyond simple chat-based interfaces by mastering the Microsoft AutoGen framework. Students dive deep into the architecture of multi-agent systems where individual, specialized agents collaborate to solve complex, multi-step problems autonomously. The curriculum meticulously covers the integration of the Model Context Protocol (MCP), enabling agents to interact with external data sources, databases, and web browsers effectively. Participants learn how to engineer context, define agent roles, and implement human-in-the-loop strategies that ensure accuracy without sacrificing speed. By building specific practical applications—such as a Jira-integrated bug analysis agent and a Playwright-powered browser automation tool—you gain hands-on experience in creating production-ready agentic workflows. This course empowers developers and automation engineers to design resilient AI systems capable of self-correction, state management, and orchestration, effectively bridging the gap between theoretical AI concepts and real-world industrial automation. It is a essential program for those aiming to future-proof their skill set in an era where autonomous workflows are becoming the standard for software and data operations.

Selenium Webdriver with PYTHON from Scratch + Frameworks

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Aspiring automation engineers and QA professionals consistently highlight the Selenium WebDriver with Python course by Rahul Shetty Academy as a premier resource for mastering test automation. Designed to guide students from absolute basics to advanced architectural levels, this comprehensive program bridges the gap between manual testing and automated framework design. Learners begin with a thorough introduction to Python programming fundamentals, ensuring that even those without prior coding experience can confidently build a solid foundation. As the curriculum transitions into Selenium Python API methods, students gain hands-on experience interacting with real-world web elements and handling complex testing scenarios. A major highlight of the course is its deep dive into modern test automation frameworks, specifically focusing on PyTest, Page Object Model (POM), and CI/CD integration. By working through five distinct live projects, participants learn how to design, maintain, and scale robust automation suites from scratch. Graduates of this course report a significant boost in their technical confidence, making them highly competitive in job interviews and fully equipped to lead automation initiatives within their organizations.

Playwright PYTHON Automation Testing - From Zero to Expert

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The Playwright PYTHON Automation Testing - From Zero to Expert course, curated by the Rahul Shetty Academy, offers a comprehensive deep-dive into modern web and API automation using Python. As organizations shift away from legacy automation tools, Playwright has emerged as a highly efficient, fast, and reliable framework for modern web applications. This course is meticulously designed to take learners from absolute beginners to industry-ready automation experts. It starts with a solid foundation in Python programming basics, ensuring even those without prior coding experience can confidently follow along. From there, students transition into core Playwright concepts, covering advanced web automation, API testing, and network interception. The curriculum also delves into visual regression testing, mobile device emulation, and running tests within CI/CD pipelines using Docker containers. Additionally, learners will master the Pytest framework and BDD (Behavior-Driven Development) concepts to build robust, industry-standard test automation frameworks. With hands-on practice, deep exploration of tools like Playwright Inspector and Trace Viewer, and real-world examples, this course is ideal for manual testers, QA engineers, and Python developers seeking to elevate their test automation capabilities.

RAG-LLM Evals & Test Automation for Beginners

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Evaluating and testing AI-based systems built on Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) requires a fundamental shift from traditional software testing paradigms. This comprehensive course, designed by the Rahul Shetty Academy, equips quality assurance engineers, automation testers, and AI developers with the modern frameworks necessary to rigorously assess and validate LLM systems. Students will dive deep into the core mechanics of RAG architectures and learn to address common issues like hallucinations, poor context retrieval, and inaccurate response generation. The curriculum guides learners through practical implementations using the RAGAS evaluation framework combined with Python and Pytest. You will master both single-turn and multi-turn conversational evaluation techniques while generating synthetic test data specifically designed to measure complex LLM metrics. By the end of this course, you will have built a production-ready, fully automated test suite capable of asserting and benchmarking LLM metrics systematically. This is an essential skill set for QA professionals looking to stay relevant in the rapidly growing field of AI automation and cognitive system testing.

Playwright JS/TS Automation Testing from Scratch & Framework

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The Playwright JS/TS Automation Testing from Scratch & Framework course by Rahul Shetty Academy is an industry-leading program designed to elevate quality assurance engineers and software developers into automation experts. Aspiring testers will journey through the essentials of JavaScript and TypeScript, establishing a solid programming foundation before diving into the core mechanics of Playwright. This comprehensive course covers robust web automation techniques on real-world applications, equipping learners with deep practical knowledge of Playwright methods, API testing integration, and network request interception. Beyond standard functional testing, the curriculum integrates cutting-edge technologies like Playwright AI Agents, Model Context Protocol (MCP) servers, and GitHub Copilot to teach students how to optimize their workflows using modern artificial intelligence. Learners will build highly scalable Cucumber BDD and Mocha frameworks from scratch, incorporating best practices such as Docker containers, visual testing, and continuous integration (CI/CD) pipelines. This course is ideal for manual testers transitioning to automation, seasoned QA engineers seeking to learn modern JavaScript-based tools, and developers aiming to master robust end-to-end testing methodologies.

GenAI & AI Agents for QA Automation | Copilot & Claude code

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The GenAI & AI Agents for QA Automation masterclass from Rahul Shetty Academy is a game-changer for software testers, quality assurance engineers, and automation developers aiming to stay ahead of the technology curve. As artificial intelligence redefines the software development lifecycle, this course provides hands-on, practical strategies to integrate cutting-edge tools like GitHub Copilot, Claude Code, and n8n into your daily testing workflows. Students will explore the shift from manual and traditional scripting to advanced agentic solutions, learning how Model Context Protocol (MCP) servers can transform standard LLMs into specialized automation agents. Beyond simple prompt engineering, the curriculum guides you through building codeless browser automation, optimizing Selenium frameworks at the terminal level, and generating robust test artifacts—including test plans, edge-case test data, and bug reports—instantly from business requirements. Crucially, the course also addresses enterprise privacy concerns by demonstrating how to deploy and customize offline LLMs. Whether you are looking to dramatically accelerate your manual testing pipelines or modernize complex CI/CD automation frameworks, this course equips you with the future-proof skills needed to lead AI-driven QA initiatives in any organization.