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Instructor-led training / ai-gem-3d1

Gemini CLI for Developers – Advanced

Master enterprise Model Context Protocol (MCP) tool integration, custom sub-agent extensions, Google Workspace workflows, and multi-agent system orchestration.
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Instructor-led

ai-gem-3d1

Duration
1 Days
Format
Live Online
Access
Multiple Timezones

Overview

About this course.

This advanced course focuses on expanding Gemini CLI into enterprise infrastructure. Developers configure Model Context Protocol (MCP) servers to connect the terminal agent to external SQL databases, orchestrate Google Workspace MCP endpoints (Drive, Gmail, Docs), write custom security extensions and sub-agents, and build multi-agent capstone automation pipelines.

Objectives

What you'll learn

  • Configure and deploy Model Context Protocol (MCP) servers within Gemini CLI.
  • Connect Gemini CLI to enterprise databases, cloud platforms, and internal APIs via MCP.
  • Automate cross-platform workflows connecting local terminal code to Google Workspace services.
  • Develop custom Gemini CLI extensions, sub-agents, and persistent background runners.
  • Implement enterprise governance, security sandboxing, and audit logging for AI agent tools.

Audience

Who it's for

  • Senior Engineers
  • Principal Developers
  • AI Infrastructure Architects

Prerequisites

Before you start

  • Completion of Gemini CLI for Developers – Intermediate (ai-gem-2d1) or equivalent hands-on experience.
  • Strong understanding of client-server protocols, API integrations, and database connections.
  • Experience with TypeScript or Python for developing custom tool servers.

Outline

Course outline.

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1. Model Context Protocol (MCP) Integration

  • MCP architecture: Clients, servers, resources, prompts, and tools
  • Configuring MCP server endpoints in Gemini CLI settings
  • Connecting local development to SQL databases, vector stores, and local APIs
  • Security perimeter boundaries and authorization models for external tools
  • Hands-on: Connecting Gemini CLI to a Local PostgreSQL MCP Server
  • Hands-on: Querying Live Schemas and Generating Migrations via MCP Tools

2. Google Workspace & Cloud Platform Automation

  • Orchestrating Google Workspace MCP servers (Google Drive, Gmail, Docs, Calendar)
  • Extracting requirements from Workspace Docs and generating code implementations
  • Automating release notes, status reporting, and team communications via CLI
  • Interfacing with Google Cloud Platform infrastructure tools via terminal agents
  • Hands-on: Building a Workspace Pipeline: Ingesting Specs from Drive to Code
  • Hands-on: Automated Incident Reporting: Pulling Logs and Drafting Gmail Briefs

3. Custom Extensions, Sub-Agents, and Skill Building

  • Architecting custom Gemini CLI extensions and sub-agents
  • Creating persistent task tracking graphs and multi-step state machines
  • Extending the REPL with domain-specific slash commands and custom prompt templates
  • Skill accumulation: Building reusable tools that persist across sessions
  • Hands-on: Building a Custom Vulnerability Scanner Extension for Gemini CLI
  • Hands-on: Creating a Multi-Step Database Migration Sub-Agent

4. Enterprise Multi-Agent Capstone Challenge

  • Design patterns for multi-agent terminal coordination
  • Sandboxing agent execution with docker containers and isolated environments
  • Enterprise compliance, logging, and token usage auditing
  • Solving a complex cross-system software challenge with Gemini CLI
  • Hands-on Capstone Challenge: Autonomous Feature Delivery (Spec Ingestion -> Database Migration -> Code Implementation -> Unit Test Execution -> Release Summary)

For teams

Training a whole team?

Request private training for Gemini CLI for Developers – Advanced and we'll follow up with a quote for your group.

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