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.
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
- 1Skill path Gemini CLI: intro
Il tuo orientamento su Gemini CLI di Google — cos'è, come si incastrano i chapter e da dove partire.
- 2Gemini CLI: l'essenziale
Padroneggia l'agente di coding AI open-source da terminale di Google — autenticazione, modalità di approvazione, Plan Mode e GEMINI.md.
- 3Flussi Pro di Gemini CLI
Subagent, estensioni, worktree e il passaggio a Jules: lo skill path per utenti avanzati di Gemini CLI di aprile 2026.
- 4Gemini CLI cost control
Governa la spesa Gemini su CLI, Vertex, AI Studio, Code Assist e Jules — economia del contesto da 1M, routing Pro vs Flash, scelta della superficie di billing e budget governance.
- 5Gemini CLI memory mastery
Progetta la persistenza per Gemini tra CLI, subagent paralleli e Jules — gerarchia GEMINI.md, strategie per il contesto da 1M, Vertex AI Memory Bank e continuità dei task async.
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.