Role-Based Programme
RB0895

Gemini Code Assist for Information Technology

AI-Assisted Development, Troubleshooting & Engineering Productivity

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Gemini Code Assist across software development, application support, testing, troubleshooting, and maintenance activities.
  • Apply project-aware AI assistance to understand existing applications, generate and modify code, analyse dependencies, and accelerate technical problem-solving.
  • Use Gemini Code Assist to support test creation, debugging, refactoring, documentation, and controlled multi-step implementation workflows.
  • Integrate AI assistance into practical IT workflows while maintaining appropriate engineering, security, testing, and change-management controls.
  • Build reusable development and support workflows that improve technical productivity without replacing professional engineering judgement.

Tools covered

Gemini Code AssistIDE ChatCode CompletionCode GenerationCode ExplanationProject & File ContextSmart ActionsUnit Test AssistanceCode RefactoringAgent ModeCode CustomizationGoogle Cloud Integration

Who should attend

  • Software Developers
  • Application Developers
  • IT Application Support Engineers
  • IT Operations Professionals
  • Cloud Engineers
  • DevOps Engineers
  • Platform Engineers
  • System Engineers
  • Solution Engineers
  • Technical Support Engineers
  • Full-Stack Developers
  • Backend Developers
  • Frontend Developers
  • Application Maintenance Teams
  • Technology Leads

Prerequisites & Participant Readiness

  • Basic understanding of software-development or application-support activities
  • Ability to read and modify basic source code
  • Familiarity with an IDE such as Visual Studio Code or JetBrains environments
  • Basic understanding of Git and software-development workflows is helpful
  • Basic cloud or Google Cloud knowledge is useful for cloud-focused activities
  • No machine-learning or advanced AI expertise required
  • No previous Gemini Code Assist experience required

TOC Modules

Concepts
  • Understanding Gemini Code Assist within modern development and IT-support workflows
  • Exploring IDE chat, code completions, generation, explanation, transformations, and agent-assisted development
  • Understanding the Requirement → Code → Test → Review → Deploy → Support lifecycle
  • Identifying appropriate AI-assisted versus human-controlled engineering activities
Practical activities
  • Configuring and exploring Gemini Code Assist in a supported IDE
  • Opening a sample project and asking application-level questions
  • Generating a technical overview of the project
  • Creating a personal AI-assisted IT workflow

Scenarios

Application Enhancement to Release Readiness

Business Requirement → Project Context → Gemini Code Assist → Implementation Plan → Code Changes → Unit Tests → Defect Resolution → Regression Testing → Technical Review

Participants use Gemini Code Assist to develop a realistic application enhancement, analyse its impact, implement controlled code changes, create tests, resolve defects, and prepare evidence for a human-approved release.

Production Application Issue to Verified Resolution

Application Error → Logs / Code / Configuration → Gemini Analysis → Root-Cause Hypotheses → Technical Validation → Fix → Tests → Verification → Incident Documentation

Participants investigate a realistic application-support issue using Gemini Code Assist, validate the actual cause using technical evidence, implement an approved correction, and document the resolution and preventive actions.

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