Create AI Browser Agents with Claude and MCP

AI models are no longer just text generators; they can now take direct action on the web. Imagine giving an AI plain-text instructions and having it seamlessly navigate web pages, interact with forms, and extract data automatically. In this foundational course, you will learn how to bridge the gap between language models and web browsers. You will build intelligent systems that use the Model Context Protocol (MCP) to control Chrome, turning Claude into a powerful web automation assistant capable of handling complex, multi-step online tasks. What you'll learn: - Understand the core concepts of agentic AI and the Model Context Protocol (MCP). - Configure secure, local environments to connect language models with Chrome. - Build custom tool integrations that allow Claude to navigate, click, and type on web pages. - Practice extracting structured data from modern, dynamic web applications. - Apply modern error recovery and retry patterns to make your web agents resilient. - Create text-driven automated workflows for research, testing, and data entry. The curriculum starts with essential terminology and the architecture of MCP before guiding you through practical, written exercises. You will read clear explanations and work through code snippets to progressively build and refine your own browser-controlling agents. This course is designed for beginners and developers looking to step into the world of AI automation. No previous experience with agentic frameworks or MCP is necessary. Enroll now to start building intelligent browser agents and transform how you automate the web.