Role-Based Programme
RB0536

Gemini for Google Workspace for Quality Management

AI-Assisted Quality Analysis, Documentation & Continuous Improvement

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

Programme Objectives

  • Develop functional proficiency in using Gemini across Google Workspace for quality planning, documentation, analysis, reviews, and continuous improvement.
  • Build structured workflows for SOPs, quality records, observations, non-conformities, corrective actions, and management reporting.
  • Analyse quality data using Gemini in Sheets to identify patterns, exceptions, trends, and areas requiring investigation.
  • Synthesise quality information from emails, documents, meetings, and structured data into decision-ready outputs.
  • Apply evidence validation, traceability, confidentiality, human judgement, and responsible AI practices to quality-management activities.

Tools covered

Gemini for Google WorkspaceGemini in GmailGoogle DocsGoogle SheetsGoogle SlidesGoogle DriveGoogle MeetWorkspace ContextAI-Assisted Data Analysis & Charts

Who should attend

  • Quality Managers
  • Quality Assurance Managers
  • Quality Control Managers
  • Quality Engineers
  • Process Quality Professionals
  • Quality Analysts
  • Quality Systems Professionals
  • Continuous Improvement Professionals
  • Operational Excellence Professionals
  • Quality Auditors
  • CAPA / Corrective Action Professionals
  • Quality Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of quality-management processes
  • Familiarity with SOPs, quality records, non-conformities, CAPA, audits, or quality KPIs
  • Basic familiarity with Google Workspace applications
  • Basic spreadsheet and reporting skills
  • No AI or programming expertise required
  • No requirement to complete shorter Gemini for Google Workspace courses

TOC Modules

Concepts
  • Understanding Gemini across Gmail, Docs, Sheets, Slides, Drive, and Meet
  • Mapping AI assistance across Plan → Document → Analyse → Review → Improve
  • Identifying suitable quality-management activities for AI assistance
  • Differentiating AI-generated observations from verified quality evidence
Practical activities
  • Exploring Gemini in selected Workspace applications
  • Mapping a sample quality process to relevant Gemini capabilities
  • Creating an initial AI-assisted quality workflow

Scenarios

Quality Issue to Corrective Action

Quality Records + Email Inputs → Gemini Synthesis → Sheets Analysis → Trend / Exception Identification → Root-Cause Investigation → Corrective Action → Verification Plan → Management Review

Participants work through a recurring quality issue, use Gemini to organise and analyse the available evidence, and develop a human-validated corrective-action plan.

Quality Performance to Management Review

Quality KPI Data → Gemini in Sheets → Trend Analysis → Issues & Exceptions → Supporting Documents → Management Summary → Presentation → Decisions & Actions

Participants transform distributed quality information into a concise management-review package highlighting performance, major issues, required actions, and decision points.

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