Role-Based Programme
RB0901

Gemini Code Assist for Quality Management

AI-Assisted Testing, Code Review & Software Quality Engineering

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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 quality assurance, testing, code review, defect investigation, and validation workflows.
  • Build reusable AI-assisted workflows for requirement analysis, test design, unit testing, regression testing, and defect resolution.
  • Analyse source code and application context to identify quality risks, edge cases, maintainability concerns, and potential failures.
  • Apply Agent Mode and codebase context to support complex multi-step quality-engineering activities.
  • Establish human validation, security, traceability, and governance controls for AI-assisted software-quality processes.

Tools covered

Gemini Code Assist Standard & EnterpriseIDE ChatCode ExplanationCode GenerationUnit Test GenerationCode TransformationSmart ActionsAgent ModeCode CustomizationMCP Integration

Who should attend

  • Quality Assurance Engineers
  • Software Test Engineers
  • Quality Engineers
  • Test Analysts
  • Automation Test Engineers
  • Software Quality Managers
  • QA Leads
  • Software Validation Professionals
  • Application Quality Professionals
  • DevOps Quality Engineers
  • Technical Quality Leads
  • Software Development Engineers in Test
  • Quality Engineering Managers

Prerequisites & Participant Readiness

  • Basic understanding of software testing and quality-assurance concepts
  • Familiarity with requirements, test cases, defects, and software-development workflows
  • Basic programming or scripting knowledge is recommended
  • Familiarity with IDEs and source-code repositories is helpful
  • Understanding of functional and regression testing concepts is beneficial
  • No previous Gemini Code Assist training required

TOC Modules

Concepts
  • Understanding Gemini Code Assist across coding, testing, debugging, documentation, and quality workflows
  • Understanding IDE context, code suggestions, transformations, and AI-assisted technical analysis
Practical activities
  • Exploring an application using Gemini Code Assist
  • Asking quality-focused questions about existing code behaviour
  • Creating an initial AI-assisted software-quality review workflow

Scenarios

Feature Requirement to Release Quality Validation

Feature Requirement → Testability Review → Test Cases → Unit Tests → Code Analysis → Defect Identification → Fix → Regression Testing → Release Recommendation

Participants use Gemini Code Assist to evaluate a software feature from requirement interpretation through testing, defect resolution, and final quality validation.

Production Defect to Quality Improvement

Production Issue → Error Evidence → Codebase Analysis → Root-Cause Hypothesis → Corrective Change → Automated Tests → Regression Review → Quality Closure

Participants investigate a production defect using Gemini Code Assist, validate the likely cause, assess the corrective change, strengthen test coverage, and produce structured closure documentation.

*Gemini Code Assist Standard and Enterprise currently support code generation and transformation, debugging and code understanding, unit-test generation, code customization, and agentic workflows in supported IDEs. Agent Mode can use project context and tools for multi-step tasks while allowing users to review and approve plans and actions.*

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