Course · 5 chapters

Gemini CLI

Run Google's Gemini CLI as a real terminal coding agent: set up auth and Plan Mode, write GEMINI.md memory, drive subagents, and hand off to Jules. 5 chapters, practitioner-level, for engineers.

Paidpractitioner5 chapters102 minEnglish + 6 languagesCertificate on completion

What you'll be able to do

  • Set up Gemini CLI with Plan Mode
  • Give the agent memory in GEMINI.md
  • Run parallel subagents in worktrees
  • Hand off long jobs to Jules
  • Route Pro and Flash to cut token cost
  • Pick the right billing for your team

What's inside

  1. 1
    Gemini CLI skill path: intro

    Je oriëntatie op Google's Gemini CLI — wat het is, hoe de hoofdstukken samenhangen en waar je begint.

    12 min
  2. 2
    Gemini CLI Basiskennis

    Beheers Google's open-source terminal AI-codeeragent — authenticatie, goedkeuringsmodi, Plan Mode en GEMINI.md.

    22 min
  3. 3
    Gemini CLI Pro Flows

    Subagents, extensions, worktrees en de Jules-handoff — het power-user-leerpad van april 2026 voor Gemini CLI.

    24 min
  4. 4
    Gemini CLI kostenbeheer

    Beheers Gemini-uitgaven over CLI, Vertex, AI Studio, Code Assist en Jules — 1M-contexteconomie, Pro vs Flash routing, factureringsoppervlak-keuzes en budgetgovernance.

    22 min
  5. 5
    Gemini CLI Memory Mastery

    Ontwerp persistentie voor Gemini in de CLI, parallelle subagents en Jules — GEMINI.md-hiërarchie, strategieën voor 1M-context, Vertex AI Memory Bank en continuïteit voor asynchrone taken.

    22 min

Frequently asked questions

What will I learn in this Gemini CLI course?
You learn to set up and run Google's Gemini CLI as a terminal coding agent: authentication, approval modes, Plan Mode, GEMINI.md memory files, subagents, extensions, git worktrees, the Jules async handoff, and cost control across billing surfaces. It runs 5 chapters totaling about 102 minutes.
Who is this Gemini CLI path for?
It is built for software engineers and developers who work in the terminal and want to use Gemini as a coding agent on real projects. The level is practitioner, so it suits people already comfortable writing code.
Do I need coding experience to take it?
Yes. This is a practitioner-level path for engineers, and the chapters assume you can read and write code and work in a command line. It does not teach programming from scratch.
How long is the course, and is there a certificate?
The path is about 102 minutes, roughly 1.7 hours, across 5 chapters covering intro, essentials, pro flows, cost control, and memory. On completion you receive an AI Academy certificate you can add to LinkedIn.
How do I control Gemini CLI costs?
A full chapter covers cost control: routing between Gemini Pro and Flash, the economics of the 1M-token context window, choosing among CLI, Vertex AI, AI Studio, Code Assist, and Jules billing surfaces, and setting budget governance.

Earn a certificate

Complete all chapters to receive your certificate of completion.