Role-Based Programme
RB0896

Gemini Code Assist for Information Technology

Advanced AI-Assisted Development, Operations & Engineering Workflows

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in using Gemini Code Assist across software development, IT operations, troubleshooting, testing, modernization, and technical documentation.
  • Architect reusable AI-assisted engineering workflows using codebase context, Agent Mode, code transformations, tools, and enterprise repositories.
  • Integrate Gemini Code Assist into development and IT delivery processes while maintaining security, quality, review, and change-control practices.
  • Apply advanced code analysis, debugging, testing, review, automation, and modernization techniques to realistic enterprise technology environments.
  • Govern and scale Gemini Code Assist usage through access controls, private-code customization, responsible AI practices, and human approval.

Tools covered

Gemini Code Assist Standard / EnterpriseIDE ChatCode CompletionCode GenerationCode TransformationSmart ActionsLocal Codebase AwarenessAgent ModeMCPCode ReviewGitHub IntegrationEnterprise Code CustomizationGoogle Cloud Development Workflows

Who should attend

  • IT Managers
  • Software Engineers
  • Application Developers
  • DevOps Engineers
  • Platform Engineers
  • Cloud Engineers
  • Application Support Professionals
  • Site Reliability Engineers
  • System & Infrastructure Engineers
  • Solution Architects
  • Technical Leads
  • Software Quality Engineers
  • Engineering Managers
  • Enterprise Application Teams
  • IT Automation Professionals

Prerequisites & Participant Readiness

  • Working knowledge of software development, application support, or IT engineering
  • Familiarity with source code, repositories, APIs, and development environments
  • Basic understanding of cloud computing and Google Cloud concepts is recommended
  • Familiarity with Git and software-development lifecycle practices is helpful
  • Basic scripting or programming experience is recommended
  • No previous Gemini Code Assist course is required

TOC Modules

Concepts
  • Understanding Gemini Code Assist Standard and Enterprise across the software-development lifecycle
  • Reviewing IDE Chat, code generation, completion, transformation, Smart Actions, and contextual assistance
  • Understanding appropriate IT use cases across development, operations, support, and modernization
  • Understanding human accountability when using AI-generated technical outputs
Practical activities
  • Configuring Gemini Code Assist in a supported enterprise development environment
  • Exploring a sample application through chat and code-generation workflows
  • Establishing a baseline AI-assisted IT engineering workflow

Scenarios

Enterprise Application Enhancement & Modernization

Business Requirement → Codebase Analysis → Agent Plan → Code Transformation → Integration → Testing → Security Review → Deployment Readiness

Participants use Gemini Code Assist to analyse an existing enterprise application, implement a controlled enhancement, modernize selected components, generate appropriate testing, and prepare the solution for governed deployment.

Production Issue to Automated Engineering Resolution

Production Issue → Logs & Application Context → Gemini Investigation → Root Cause → Code / Configuration Change → Automated Tests → Review → Controlled Release

Participants investigate a realistic production problem, use Gemini Code Assist to develop and validate a remediation, test the change, document the resolution, and create a reusable engineering workflow for future incidents.

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