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Gemini 3 Code Assist Fundamentals

Course Summary

This course provides an introduction to Gemini 3 Code Assist, Google’s AI-powered development assistant integrated into modern IDEs. Participants will learn how to leverage Gemini’s advanced capabilities—including contextual code generation, refactoring, agent-based workflows, and in-editor collaboration—to improve productivity across the software development lifecycle. The training combines conceptual understanding with hands-on labs, enabling learners to effectively integrate AI-assisted coding into real-world development workflows.

Prerequisites:

To get the most out of this session, participants should have:

  • Basic Python programming knowledge
  • Familiarity with an IDE
  • Understanding of software development lifecycle (SDLC) concepts
  • Basic knowledge of Cloud environments
Purpose
Leverage Gemini's capabilities to improve productivity across the software development lifecycle
Audience
IT professionals looking to improve productivity with an AI-powered development assistant
Role
Software Developers | DevOps Engineers | Cloud Engineers | Technical Leads
Skill level
Introduction
Style
Lecture | Hands-on Activities | Labs
Duration
1 day
Related technologies
AI/ML | Generative AI | Cloud

 

Learning objectives
  • Understand the architecture and capabilities of Gemini 3 Code Assist
  • Configure and use Gemini Code Assist within supported IDEs
  • Generate, explain, and refactor code using AI assistance
  • Apply prompt engineering techniques for accurate and efficient outputs

What you'll learn:

In this Gemini 3 Code Assist Fundamentals course, you'll learn:

Introduction to Gemini Code Assist

  • Overview of AI-assisted development
  • Gemini 3 ecosystem and evolution
  • Supported IDEs and setup
  • Key features and use cases

Getting Started with Gemini Code Assist

  • Navigating the Gemini interface
  • Understanding chat-based workflows
  • Working with prompts and responses

Code Generation & Refactoring

  • Generating code from prompts
  • Completing partial code
  • Refactoring and improving existing code
  • Writing unit tests and documentation

Context-Aware Development

  • Using selected code snippets as context
  • Adding files and folders to context
  • Incorporating terminal outputs
  • Managing multi-file awareness

Advanced Features

  • Agent mode for multi-step tasks
  • “Finish Changes” for automated edits
  • Code outlines for comprehension
  • Working with diffs and version changes
  • Custom commands and rules

Gemini 3 Code Assist Fundamentals

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

Dive in and learn more

When transforming your workforce, it’s important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.

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