AI-Assisted Web Development with MCP and Gemini CLI

The landscape of software engineering is changing as AI tools become central to the development workflow. This course provides a clear path for beginners to understand how to integrate AI assistants into their coding practice to build applications faster and more reliably. You will transition from understanding basic web architecture to deploying a functional application using modern AI-enhanced techniques. By focusing on the synergy between human logic and machine assistance, you will learn to navigate the full development lifecycle with increased efficiency. What you'll learn: - Understand the fundamentals of the Model Context Protocol (MCP) and its role in modern development. - Configure Gemini CLI to assist with code generation, debugging, and terminal-based tasks. - Build a responsive web application using Next.js and modern component patterns. - Manage version control and collaborative workflows effectively using Git. - Apply prompt engineering techniques specifically designed for generating clean, maintainable code. - Deploy your application to the cloud using modern hosting and deployment strategies. The course begins with essential terminology and the setup of your AI-assisted environment before moving into structured exercises on application logic and deployment. This text-based program is designed for beginners with no prior experience in AI-assisted coding. Start building your first AI-enhanced web project today.