Role-Based Programme
RB0894

Gemini Code Assist for Information Technology

Build, Debug & Support Applications with AI

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in using Gemini Code Assist across application development, IT support, troubleshooting, testing, and documentation.
  • Use AI-assisted code generation, explanation, transformation, and contextual guidance to improve day-to-day IT productivity.
  • Apply Gemini Code Assist to investigate application issues, generate tests, understand unfamiliar code, and support technical problem solving.
  • Develop practical workflows for improving application maintenance, documentation, and code quality.
  • Apply appropriate security, validation, access, and human-review practices when using AI-generated technical guidance.

Tools covered

Gemini Code Assist Standard / EnterpriseIDE ChatCode CompletionCode GenerationCode ExplanationSmart ActionsUnit Test GenerationDebuggingCode TransformationRepository Context

Who should attend

  • IT Professionals
  • Application Support Engineers
  • Software Developers
  • System Engineers
  • Cloud Engineers
  • DevOps Professionals
  • Technical Support Engineers
  • IT Operations Professionals
  • Application Engineers
  • IT Analysts
  • Solution Engineers
  • Technical Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of software applications and IT environments
  • Familiarity with source code or software-development concepts is helpful
  • Basic programming knowledge in any common language is beneficial
  • Familiarity with IDEs such as VS Code or JetBrains IDEs is helpful
  • No advanced AI knowledge required
  • No previous Gemini Code Assist experience required

TOC Modules

Concepts
  • Understanding Gemini Code Assist across the software-development lifecycle
  • Understanding Standard and Enterprise editions
  • Exploring common use cases across development, application support, maintenance, and troubleshooting
  • Understanding AI assistance versus technical accountability
Practical activities
  • Exploring Gemini Code Assist within a supported development environment
  • Asking questions about sample code and application behaviour
  • Mapping common IT tasks to relevant Gemini Code Assist capabilities

Scenarios

Application Issue to Validated Resolution

Application Error → Gemini Code Assist Analysis → Root-Cause Hypotheses → Code Review → Fix → Unit Tests → Verification → Support Documentation

Participants use Gemini Code Assist to analyse an application problem, identify and validate a solution, generate appropriate tests, and create reusable technical documentation.

IT Change Request to Tested Implementation

Change Requirement → Codebase Analysis → AI-Assisted Development → Code Transformation → Testing → Technical Review → Implementation Readiness

Participants use Gemini Code Assist to understand an existing application, implement a controlled change, validate the resulting behaviour, and prepare the change for technical review.

## Current Capability Reference

Gemini Code Assist is currently offered through **Standard and Enterprise** editions managed through Google Cloud and supports development teams across building, deploying, and operating applications.

The former consumer Gemini Code Assist accounts stopped serving IDE-extension and Gemini CLI requests on **June 18, 2026**, while Standard and Enterprise access remains available.

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