Role-Based Programme
RB0902

Gemini Code Assist for Quality Management

Advanced AI-Assisted Testing, Code Quality & Release Assurance

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

Programme Objectives

  • Develop advanced expertise in using Gemini Code Assist across software quality engineering, testing, defect prevention, debugging, code review, and release assurance.
  • Architect reusable AI-assisted quality workflows connecting requirements, code, tests, defects, security considerations, and release decisions.
  • Apply Gemini Code Assist to generate and improve tests, analyse application behaviour, investigate defects, and strengthen code maintainability.
  • Integrate repository context and organisational coding standards into advanced quality-engineering processes.
  • Establish governed AI-assisted quality practices covering validation, traceability, human review, risk management, and continuous improvement.

Tools covered

Gemini Code Assist Standard / EnterpriseIDE ChatCode CompletionCode GenerationCode TransformationSmart ActionsUnit Test GenerationDebuggingCode ExplanationCode ReviewCode CustomizationRepository ContextFirebase App Quality Analysis

Who should attend

  • Quality Managers
  • Software Quality Engineers
  • QA Engineers
  • Test Automation Engineers
  • Software Test Engineers
  • Quality Analysts
  • SDET Professionals
  • Application Quality Engineers
  • DevOps Quality Engineers
  • Release & Validation Managers
  • Technical Quality Leads
  • Software Developers
  • Engineering Leads
  • Quality Engineering Managers

Prerequisites & Participant Readiness

  • Working knowledge of software testing and quality-assurance processes
  • Familiarity with source code, test cases, defects, and software-development lifecycles
  • Basic programming knowledge in at least one supported language
  • Familiarity with IDEs such as VS Code, JetBrains IDEs, or Android Studio
  • Understanding of Git repositories and CI/CD concepts is beneficial
  • Basic knowledge of Google Cloud or Firebase environments is helpful
  • Previous Gemini Code Assist experience is beneficial but not mandatory
  • Completion of shorter Gemini Code Assist courses is not required

TOC Modules

Concepts
  • Understanding Gemini Code Assist Standard and Enterprise across the software-development lifecycle
  • Understanding AI-assisted quality engineering versus conventional QA automation
  • Mapping Requirement → Code → Test → Review → Defect → Release quality workflows
  • Understanding deterministic testing versus probabilistic AI-generated assistance
Practical activities
  • Configuring Gemini Code Assist within a supported development environment
  • Exploring code generation, explanation, testing, debugging, and transformation capabilities
  • Mapping existing QA activities to suitable Gemini Code Assist workflows

Scenarios

Feature Development to Production Quality Gate

Requirement → Gemini-Assisted Test Design → Development → Unit & Integration Tests → Code Review → Defect Resolution → Regression → Quality Gate → Release

Participants design an end-to-end AI-assisted quality workflow for a new software feature, strengthening requirement coverage, testing, defect prevention, traceability, and release assurance.

Production Failure to Preventive Quality Improvement

Production Failure → Logs / Crash Evidence → Gemini Debugging → Root-Cause Analysis → Fix → Regression Tests → Code Review → Preventive Controls

Participants investigate a production application failure using Gemini Code Assist, validate the identified root cause, implement and test remediation, and establish reusable controls to prevent recurrence.

## Current Capability Reference

Gemini Code Assist Standard and Enterprise currently support code generation and completion, unit-test generation, debugging, code explanation, code transformation, and contextual assistance in supported IDEs. Enterprise also supports code customization using organisational repositories.

As of September 2026, Gemini Code Assist access is focused on **Standard and Enterprise** editions; the former consumer/individual IDE experience was discontinued in June 2026. The consumer GitHub code-review app was also shut down in July 2026, while the Enterprise GitHub offering was not affected.

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