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

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Claude AI · Online Course

GenAI & AI Agents for QA Automation | Copilot & Claude code Reviews & Product Details

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.

Best For

QA automation engineers looking to integrate LLMs into existing Selenium or Playwright frameworks. Software testers aiming to automate the generation of test plans, bug reports, and complex test data. DevOps and QA professionals interested in building agentic workflows with n8n and terminal-based tools. Developers wanting to leverage GitHub Copilot and Claude Code for accelerating script writing and framework maintenance.

Not For

Absolute beginners with no prior knowledge of software testing concepts or automation fundamentals. Data scientists or AI researchers focusing on model training or machine learning architecture rather than practical QA applications. Professionals seeking a theoretical course on the history of AI instead of hands-on, implementation-heavy tutorials. Those looking for non-technical leadership advice on AI implementation without hands-on coding requirements.

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About the Creator

Rahul Shetty Academy

Rahul Shetty Academy is a premier online training hub dedicated to software testing, test automation, and modern AI-driven development. Founded by Rahul Shetty, a pioneer in QA education, the academy focuses on bridging the gap between theoretical software engineering and hands-on, industry-ready implementation. Our teaching methodology is centered around "learning by doing." Rather than focusing purely on syntax, we guide students through building robust, real-world framework architectures from scratch. With the rapid evolution of technology, we have expanded our curriculum from foundational Selenium and Playwright automation frameworks in Python, JavaScript, and TypeScript to cutting-edge AI integrations. This includes training on Generative AI, LLM evaluations, and building multi-agent AI automation workflows. Every course is structured to take learners from absolute beginners to expert practitioners. Through clear, step-by-step visual explanations, practical assignments, and active community support, we empower QA engineers, developers, and tech enthusiasts to scale their careers and stay highly competitive in an ever-shifting technological landscape.

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