Coding with Gemini Code Assist Micro-Credential

Coding with Gemini Code Assist Micro-Credential

Duration: 3-4 Hours

Description

Gemini Code Assist’s edge over other coding assistants is its context window and its native fit with Google Cloud — it can reason over far more of a codebase at once, including changes that span multiple files and repositories, and it understands GCP services and configuration the way a specialist would. This session covers effective code prompting, Gemini’s smart-action debugging tools, Agent Mode for multi-file and multi-step changes, and its multimodal input (screenshots, diagrams, error output) for cases where showing is faster than describing. Participants leave knowing when Gemini’s strengths actually matter for their stack versus when any assistant would do.

Audience

This session is for developers with at least basic-to-intermediate coding experience, particularly those already working in or evaluating the Google Cloud ecosystem, where Gemini’s platform integration pays off most directly. It also suits developers comparing AI coding assistants who want hands-on time with Gemini specifically rather than a generic overview.

Objectives

  • Understand Gemini Code Assist features and chat-based interactions
  • Generate and enhance code using comments and smart actions
  • Debug, refactor, and improve existing projects — including multi-file changes — with AI assistance
  • Create automated unit tests and apply multimodal capabilities in real projects

Prerequisites

Participants should have basic to intermediate programming skills in a modern language (e.g., Python, JavaScript, Java) and familiarity with standard development tools or IDEs. No prior AI experience is required.

Related AI Courses

See the full AI training roadmap and course directory for how this fits into a broader learning path.

Comparing coding assistants? See Coding with Claude Micro-Credential or Coding with GitHub Copilot Micro-Credential. For a deeper, multi-day treatment of AI-assisted development discipline and workflow, see Vibe Coding: AI-Assisted Development.

Course Outline

Module 1: The Foundations

  • What is Gemini Code Assist?
  • Getting Started with the Chat Assistant
  • The Art of the Code Prompt

Module 2: Practical Applications and Workflows

  • Generating Code with a Comment
  • Debugging with Smart Actions
  • Refactoring and Improving Existing Code
  • Agent Mode for Multi-File Changes

Module 3: Advanced Concepts and Project Work

  • Generating Unit Tests
  • Multimodal Capabilities in the IDE
  • Lab – AI-Assisted Multimodal Development