Introduction to Google Gemini CLI

This course will teach you how to install, configure, and use the Google Gemini CLI as a local AI agent to speed up coding, debugging, and everyday development tasks using core commands, tools, and secure integration with your editor and environment.

What you'll learn

Many developers still copy-paste between a browser-based AI chat and their editor, losing context and wasting time. In this course, Introduction to Google Gemini CLI, you'll gain the ability to use Gemini as a local AI agent that lives inside your terminal and development workflow.

First, you'll explore how the Gemini CLI is installed, authenticated, and architected. Next, you'll discover how to run core commands like /memory, /stats, /tools, and /mcp, and apply file read/write, terminal execution, grep, web fetch, and web search features to complete real development tasks. Finally, you'll learn how to configure, extend, and secure the Gemini CLI in local or cloud environments, integrate it with Gemini Code Assist in VS Code, and apply Google's security and privacy guidelines for code and data.

When you're finished with this course, you'll have the skills and knowledge of the Google Gemini CLI needed to use it confidently as a local AI agent for everyday development work.