
Introduce Gemini CLI and show how to install it on your local machine, including Node.js requirements and Google account authorization, to access Gemini 2.5 Pro from the command prompt.
Learn how to configure gemini.md for the Gemini CLI, enabling a project-specific role to manage tasks and summarize weekly updates for a large-scale web AR project.
Create a simple to-do web app using Gemini CLI to scaffold a Node.js backend with HTML, CSS, and JavaScript, then customize task content and UI in VS Code.
Learn to use the Gemini CLI inside VS Code to modify a 3D scene built with React Three Fiber, adding models, scale controls, physics via Cannon, drag-and-drop, and simple animations.
Integrate an MCP server with the Gemini CLI to automate browser tasks and tool access, configuring settings.json and dot Gemini, then connect via the browser MCP extension for end-to-end automation.
Upon completing this course, users will be fully equipped to integrate powerful AI coding capabilities directly into your daily development workflow. You'll first master the fundamentals by successfully installing and configuring the Gemini CLI, becoming proficient in its core commands and syntax to perform a wide range of common developer tasks right from your terminal.
Building on this foundation, you will create a portfolio of practical, hands-on projects, applying your new skills to build a complete to-do web application and an interactive 3D scene with physics, using the Gemini CLI as your primary development tool. Beyond building projects, you will learn to streamline your entire workflow by seamlessly integrating the Gemini CLI into your VS Code editor.
This powerful synergy will allow you to accelerate your coding process, intelligently debug your code, and efficiently manage your project environment with powerful AI assistance. Finally, you will explore the true power of the CLI by understanding and leveraging the Model Context Protocol (MCP). This essential knowledge will enable you to connect the CLI to external browser tools and services, unlocking a new level of automation and expanding your AI assistant's capabilities far beyond its out-of-the-box features.
This fundamental course will set you on path to working with Gemini CLI.