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Instructor-led training / ai-gem-2d1

Gemini CLI for Developers – Intermediate

Advance your Gemini CLI capabilities by leveraging million-token context windows, multimodal file inspection, complex tool calling, and automated testing workflows.
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Instructor-led

ai-gem-2d1

Duration
1 Days
Format
Live Online
Access
Multiple Timezones

Overview

About this course.

This course dives deep into enterprise-grade workflows using Gemini CLI. Learners master million-token context ingestion for whole-repository analysis, integrate multimodal UI diagrams and PDFs into terminal workflows, build self-correcting test-driven development (TDD) loops, and script headless AI automation steps inside Git hooks and CI/CD runners.

Objectives

What you'll learn

  • Exploit Gemini's 1M+ token context window for full-repository reasoning and architecture mapping.
  • Perform multimodal analysis in terminal workflows using local images, diagrams, and PDFs.
  • Build automated testing loops where Gemini CLI fixes failing test suites autonomously.
  • Manage token optimization, context compaction, and cost efficiency in long sessions.
  • Implement structured JSON schema generation for automated pipeline steps.

Audience

Who it's for

  • Intermediate to Advanced Developers
  • Systems Architects
  • Technical Leads

Prerequisites

Before you start

  • Completion of Gemini CLI for Developers – Beginner (ai-gem-1d1) or equivalent hands-on experience.
  • Familiarity with Git branching, pull requests, and CI/CD pipelines.
  • Comfortable working with JSON, REST APIs, and command-line diagnostics.

Outline

Course outline.

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1. Massive Context Window Strategy & Repo Mapping

  • Leveraging 1M+ token windows for large codebase ingestion
  • Token usage analytics, context window limits, and cost monitoring
  • Summarizing legacy codebases, monolithic repos, and multi-file dependencies
  • Context compaction techniques and session state preservation
  • Hands-on: Ingesting an Entire Legacy Repository for Structural Analysis
  • Hands-on: Generating Architectural Diagrams and Onboarding Guides from Code

2. Multimodal Terminal Workflows & Media Analysis

  • Feeding local assets to Gemini CLI: Mockups, architecture diagrams, and PDFs
  • Extracting UI/UX specs from design images directly into frontend code
  • Analyzing diagnostic charts, log dumps, and visual error reports
  • Combining text context files (@file) with visual assets
  • Hands-on: Translating UI Mockups (PNG/SVG) into Functional Code
  • Hands-on: Diagnosing Network Logs and Performance Screenshots via CLI

3. Autonomous Test-Driven Development Loops

  • Setting up autonomous TDD cycles with Gemini CLI
  • Configuring test execution scripts and error log capturing
  • Self-correcting code loops: Reading stack traces, patching code, and re-running tests
  • Managing non-deterministic output and preventing endless modification loops
  • Hands-on: Building an Automated Test-Fix-Refactor Loop
  • Hands-on: Automated Migration of Legacy Test Suites to Modern Frameworks

4. Non-Interactive Scripting & Headless Automation

  • Running Gemini CLI in headless/CI mode using pipe inputs
  • Integrating Gemini CLI into Git hooks and CI/CD runners (GitHub Actions / GitLab CI)
  • Generating structured JSON outputs for down-stream build scripts
  • Enforcing security compliance and credential sanitization in automated pipelines
  • Hands-on: Scripting Headless Code Quality Audits via CLI Pipes
  • Hands-on: Building a Git Pre-Commit Hook for Automated AI PR Reviews

For teams

Training a whole team?

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

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