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Unclaimed ProfileThe automation landscape is undergoing a massive shift with the arrival of AI-native frameworks, and "Vibium: The Next Generation of AI-Native Browser Automation" is your gateway to mastering this evolution. Created by Nilesh Yadav, this course is designed specifically for QA engineers, software developers, and automation specialists who want to move past fragile, high-maintenance XPath and CSS selectors. Throughout this practical program, you will learn how to leverage Vibium's core capabilities alongside AI assistants like Claude and GitHub Copilot. The curriculum dives deep into configuring Model Context Protocol (MCP) servers, enabling you to write test scenarios in plain English that automatically translate into reliable browser actions. By exploring self-healing locator strategies, you will build highly resilient, maintenance-free test suites that adapt dynamically to UI changes. Whether you need to automate complex multi-step web workflows, build intelligent web scrapers, or integrate LLMs directly into browser actions, this course provides the blueprint. By the end, you will have a modernized testing toolkit, ready to deploy zero-boilerplate scripts that significantly lower maintenance overhead and accelerate release cycles.
About the creator
Nilesh Yadav
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Nilesh Yadav is a forward-thinking software engineer and innovator specializing in the intersection of artificial intelligence and web automation. As the creator of Vibium, a pioneering framework designed for the next generation of AI-native browser automation, Nilesh is passionate about simplifying complex automated workflows. His teaching philosophy revolves around hands-on, practical execution, stripping away theoretical fluff to help developers and QA engineers build resilient, self-healing automation scripts. Nilesh believes that the future of testing and web scraping lies in intelligent agents that can adapt to dynamic web changes, rather than relying on brittle, traditional selectors. In his courses, he guides…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Set up and configure Vibium with GitHub Copilot or Claude and MCP servers for AI-assisted automation
- Write test scenarios in plain English that automatically translate to browser actions
- Leverage self-healing locator strategies to build resilient, maintenance-free test suites
- Integrate Vibium with AI agents and LLMs to create intelligent web workflows
- Automate complex web interactions including form filling, data extraction, and multi-step processes
- Build end-to-end test automation frameworks using modern best practices
- Troubleshoot and optimize Vibium scripts for real-world applications
Best For
- QA engineers looking to transition from legacy element-locating frameworks to AI-driven automation.
- Software developers seeking to reduce maintenance overhead by implementing self-healing test scripts.
- Automation architects interested in integrating LLMs and MCP servers into their existing CI/CD pipelines.
- Tech professionals who want to leverage natural language processing to generate reliable browser interactions.
Not For
- Complete programming beginners who lack fundamental knowledge of web development or automation concepts.
- Developers looking for traditional, code-heavy automation tool training like standard Selenium or Playwright without AI integration.
- Users looking for non-technical, no-code solutions that do not require configuration of AI agents or development environments.
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