Role-Based Programme
RB0101

Gemini for Quality Management

Analyse, Improve & Build Smarter Quality Workflows

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

Programme Objectives

  • Develop functional proficiency in applying Gemini across quality documentation, nonconformance analysis, CAPA, audits, supplier quality, and continuous improvement.
  • Apply advanced prompting and context-engineering techniques to generate structured, evidence-based, and quality-focused outputs.
  • Analyse quality records, SOPs, complaints, audit findings, spreadsheets, and supporting documents to identify trends, gaps, risks, and improvement opportunities.
  • Build reusable Gemini-assisted quality workflows across Google Workspace and Gems.
  • Apply appropriate validation, traceability, confidentiality, compliance, and human-approval controls when using Generative AI in quality-management activities.

Tools covered

Google GeminiGenerative AIAdvanced Prompt EngineeringGemini Deep ResearchGoogle SearchFile AnalysisGemsGemini in Google WorkspaceDriveDocsSheetsGmail & Slides

Who should attend

  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Quality Engineers
  • Quality Analysts
  • Quality Systems Professionals
  • Supplier Quality Professionals
  • Internal Quality Auditors
  • CAPA Coordinators
  • Process Quality Professionals
  • Continuous Improvement Professionals
  • Operational Excellence Professionals
  • Document Control Professionals
  • Quality Team Leads & Managers

Prerequisites & Participant Readiness

  • Basic familiarity with quality-management activities
  • Understanding of SOPs, deviations, nonconformances, audits, CAPA, or quality records
  • Familiarity with spreadsheets and Google Workspace is helpful
  • Basic understanding of Generative AI is beneficial but not mandatory
  • No programming knowledge required
  • Completion of a shorter Gemini programme is not required

TOC Modules

Concepts
  • Understanding Gemini capabilities across quality documentation, analysis, audits, and improvement workflows
  • Identifying suitable AI-assisted activities across QA and quality operations
  • Understanding hallucinations, incomplete evidence, outdated information, and AI limitations
  • Understanding where quality judgement and formal approval must remain human-owned
Practical activities
  • Mapping recurring quality activities to suitable Gemini-assisted workflows
  • Testing Gemini with representative quality-management scenarios

Scenarios

Nonconformance to CAPA Closure

Nonconformance → Gemini Analysis → Evidence Review → Root-Cause Investigation → CAPA Plan → Effectiveness Check → Closure Documentation

Participants use Gemini to support a structured quality investigation from nonconformance identification through root-cause analysis and CAPA development while maintaining evidence-based validation and formal quality approval.

Quality Trend to Management Action

Quality Data → Gemini in Sheets → Defect / Complaint Trends → Priority Issues → Investigation → Improvement Actions → Management Quality Summary

Participants analyse recurring quality information, identify significant patterns and risks, prioritise improvement actions, and prepare a concise management review for quality leadership.

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