Role-Based Programme
RB0900

Gemini Code Assist for Quality Management

AI-Assisted Code Review, Testing & Software Quality

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

Programme Objectives

  • Build foundational capability to use Gemini Code Assist across software quality, testing, code review, defect investigation, and validation activities.
  • Apply AI assistance to understand code, identify potential quality concerns, generate test scenarios, and improve test coverage.
  • Use codebase context to investigate defects, understand change impact, and support regression-test planning.
  • Create reusable quality workflows for requirement validation, testing, defect documentation, and release-readiness review.
  • Apply human verification, security, privacy, and quality controls before accepting AI-generated code, tests, or recommendations.

Tools covered

Gemini Code Assist Standard / EnterpriseIDE ChatCode CompletionCode GenerationCode ExplanationLocal Codebase AwarenessSmart ActionsUnit Test GenerationDebugging Assistance

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of software quality assurance and testing
  • Familiarity with software-development and defect-management concepts
  • Basic understanding of test cases and expected results
  • Basic code-reading knowledge is helpful
  • No advanced programming knowledge required
  • No previous Gemini Code Assist experience required

TOC Modules

Concepts
  • Understanding Gemini Code Assist within the software-development lifecycle
  • Exploring IDE chat, code completion, generation, explanation, and contextual assistance
  • Identifying suitable applications across testing, debugging, quality review, and documentation
  • Understanding AI assistance versus independent QA validation
Practical activities
  • Exploring Gemini Code Assist using a controlled sample application
  • Asking Gemini to explain unfamiliar application logic
  • Identifying potential areas requiring quality verification

Scenarios

Application Change to Quality Validation

Requirement → Code Change → Gemini Code Assist Analysis → Test Generation → Defect Identification → Fix Review → Regression Testing → Release Recommendation

Participants use Gemini Code Assist to analyse an application change, develop appropriate tests, identify quality concerns, review remediation, and prepare a structured release-readiness recommendation.

Production Defect to Corrective Validation

Reported Defect → Error & Code Context → Gemini Analysis → Possible Cause → Test Scenario → Proposed Fix → Regression Review → QA Closure

Participants investigate a software defect using Gemini Code Assist, validate possible causes through testing, review the proposed correction, and create quality evidence for controlled closure.

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