Gemini CLI Essentials – Full Course

Exam format and requirements

The EXP Gemini CLI01 certification exam consists of 50 multiple-choice questions requiring a 70% passing grade, administered through ExamPro with a 60-minute time limit and 24-month validity period.

Time commitment estimates

Beginners should allocate approximately 12 hours to complete the course while experienced developers can finish in 4 hours or less, particularly if they have prior knowledge of Claude Code or Codex.

Three exam domains

The exam covers Core Concepts and Foundations, Gemini Services, and Features and Advanced Capabilities, with the instructor noting Gemini currently offers fewer features than competing AI coding tools.

Core functionality overview

Gemini CLI operates as an agentic coding harness available at geminici.com that reads codebases, edits files, executes commands, and integrates with development tools and Git repositories.

Authentication methods

Users authenticate via either a Google AI subscription (recommended at the $30 Pro tier using personal accounts due to Workspace compatibility issues) or API keys for production environments like GitHub Actions.

Available model tiers

The CLI provides access to Gemini 3.1 Pro, Flash, and Flash Light models, with Pro featuring a 1 million token input window but restricted to 65,000 tokens of output—the smallest limit among frontier AI models.

Critical spend cap necessity

Users must set strict spend caps immediately as Google provides no transparency for subscription usage tracking and has documented cases of unexpected catastrophic billing that cannot be easily disputed.

Restrictive output constraints

Gemini 3.1 Pro's 65,000 token output limit significantly constrains complex code generation compared to competitors, with the instructor noting that large context windows often perform poorly in practice anyway.

Opaque API tier system

Users may automatically qualify for paid API tiers without clear explanation, while the process for adding credits and tracking consumption remains poorly documented compared to Anthropic or OpenAI.

Cross-certification benefits

The course builds upon concepts from the instructor's Claude Code and Codex certifications, with substantial overlap allowing accelerated completion for developers already familiar with AI coding assistants.

Recommended learning path

For maximum efficiency, the instructor suggests completing Cloud Code, then Codex, then Gemini CLI, while absolute beginners should start with the 'Claude Code from Zero' course.