Gemini CLI Crash Course: Automate Coding with Agentic AI

Gemini CLI速成：用AI代理自动化编程

本课程教你使用Gemini CLI构建AI代理，通过自定义命令、MCP和GitHub工作流，实现从代码生成到自动提PR的完整开发自动化，适合初学者快速上手。

Published 2/2026
Created by Arunprabu nallasamy
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 30m ) | Size: 881 MB

Build AI agents with Gemini CLI using custom commands, skills, MCP, and GitHub workflows

What you’ll learn
✓ Use Gemini CLI as a daily AI coding assistant to generate code, refactor features, debug issues, and write tests from the command line.
✓ Build agentic AI workflows that plan tasks, modify code, run tests, and verify results automatically.
✓ Create custom commands and reusable AI skills to automate repetitive development tasks across projects.
✓ Integrate Gemini CLI with real developer tools using MCP, including GitHub, Playwright, and local filesystems.
✓ Automate the complete GitHub workflow — from reading issues to committing changes and opening pull requests using AI agents.
✓ Design practical AI-powered workflows you can reuse in your own projects without relying on paid AI subscriptions.

Requirements
● Basic familiarity with programming concepts (no advanced coding experience required).
● General understanding of code repositories (Git/GitHub concepts are helpful but not mandatory).
● Access to any code editor or IDE, such as Visual Studio Code, IntelliJ, or any other IDE.
● A computer with internet access to install and use Gemini CLI.

Description
Master Gemini CLI and Build Practical AI Development Workflows

AI tools are everywhere — but most developers struggle to use them effectively in real workflows.

In this course, you’ll learn how to use Gemini CLI as a practical AI agent to automate coding tasks, streamline development workflows, and integrate AI directly into your everyday developer tools.

Instead of focusing on theory, this course shows you how to work with Gemini CLI in real scenarios — generating code, fixing issues, running tests, managing GitHub workflows, and building reusable automation using custom commands, skills, MCP, and extensions.

You’ll see how agentic AI works in practice: planning tasks, making code changes, validating results, and interacting with real systems like GitHub and Playwright — all from the command line.

Whether you’re new to AI-assisted development or already writing code daily, this course helps you move from basic AI usage to building reliable, repeatable AI-powered workflows through hands-on demos and real examples.

Why This Course Is Different

Most courses talk about AI concepts.
This course focuses on using AI as a real developer tool.

• Hands-on, demo-driven lessons with real workflows

• Practical use of Gemini CLI in real projects

• Step-by-step automation you can reuse immediately

• Focused on outcomes, not theory

You’ll finish this course with skills you can apply right away — not just ideas.