Gemini CLI Essentials – Full Course

Why It Matters

The certification validates expertise in Gemini CLI, enabling developers to leverage AI‑powered coding efficiently while safeguarding against uncontrolled cloud costs.

Key Takeaways

• Gemini CLI Essentials offers a hands‑on certification in AI coding.
• Course duration ranges from two to twelve hours depending on experience.
• Exam includes 50 multiple‑choice questions, 70% passing score, one hour.
• Gemini CLI integrates with Git, runs commands, and edits code automatically.
• Set a Google AI spend cap to avoid unexpected billing surprises.

Summary

Andrew Brown introduces the Gemini CLI Essentials certification, a focused program teaching practical use of Google’s Gemini command‑line tool for AI‑assisted coding. The course combines video lectures, hands‑on labs, and a free practice exam, with optional paid materials and a paid final exam to earn a credential that can be displayed on resumes and LinkedIn.

The curriculum is designed for both beginners and experienced developers, estimating ten to twelve hours for newcomers and as little as two hours for seasoned users. The exam consists of 50 multiple‑choice questions, a 70% passing threshold, and a one‑hour time limit. Students learn to navigate Gemini’s various models—Pro Flash, Flash Light, and newer “flashlight” versions—understanding token limits and performance trade‑offs. Authentication options include a Google AI subscription or an API key for production deployments, each with distinct cost structures.

Brown emphasizes practical considerations, noting that a spend‑cap on Google AI usage is essential after a high‑profile billing incident. He demonstrates the CLI’s ability to read codebases, edit files, run commands, and integrate with Git repositories, positioning it as an “agentic coding tool.” The discussion also touches on model token windows, highlighting that larger context windows can degrade results, and advises users to monitor usage via the AI Studio dashboard.

For professionals, the certification provides a verifiable skill set in a rapidly evolving generative‑AI ecosystem, while the spend‑control guidance helps organizations adopt Gemini CLI responsibly. Mastery of this tool can accelerate development workflows, reduce manual coding effort, and give firms a competitive edge in AI‑driven software engineering.

Original Description

Learn how to use the Gemini CLI for agentic coding.

Created by @ExamProChannel

Course info: https://www.exampro.co/exp-gemini-cli-01

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecampGemini Fundamentals

⭐️ Contents ⭐️

00:01:09 Introduction

00:07:56 Gemini CLI

00:10:04 Gemini Models

00:11:17 Gemini Models Follow Along

00:13:36 Gemini API Key

00:17:03 Context Window Size

Setup and Authentication

00:18:47 Install and Auth Gemini CLI

00:20:24 Gemini CLI Install

00:34:39 API Key Follow Along

Context, Sessions, and Execution

00:41:16 Memory Management

00:42:25 GEMINI Markdown File

00:43:58 Gemini Markdown File and Memory Part 1

00:50:29 Gemini Markdown File and Memory Part 2

01:07:20 Compress and Clear Follow Along

01:18:55 Chat Management and Rewind Command

01:20:33 Chat Management Commands Follow Along

01:29:39 Rewind Command Follow Along

01:34:41 Plan Mode Follow Along

01:38:39 Settings File

01:39:46 Settings File Follow Along

01:44:30 Policy Files

01:46:01 Policy Follow Along

02:03:34 System Prompt Overrides

02:04:34 System Prompt Override Follow Along

02:10:16 Gemini Ignore Files

02:11:14 Gemini Ignore Follow Along

02:14:08 Permissions and Trusted Folders

02:15:15 Permissions and Trusted Folders Follow Along

02:19:30 Sandboxes

02:21:03 Sandbox Mode Follow Along

02:27:57 Yolo Command

02:28:39 Headless Mode

02:29:08 Headless Mode Follow Along

Integration, Skills, and Automation

02:31:58 Extensions Marketplace

02:32:36 Extensions Marketplace and Using a Skill

02:41:00 Agent Skills

02:43:18 Agent Skills Follow Along

02:49:50 MCP Follow Along

03:02:02 Google GenAI SDK Follow Along

03:11:33 ADK Follow Along

03:24:47 Custom Subagent

03:36:22 GitHub Actions Follow Along

UI & Misc

03:47:02 Themes

03:47:21 Themes Follow Along

03:48:00 Footer

03:48:58 Footer Follow Along