Role-Based Programme
RB0085

Gemini for Operations

Practical AI for Process, Productivity & Operational Excellence

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

Programme Objectives

  • Build foundational proficiency in using Gemini across practical Operations activities and day-to-day workflows.
  • Apply structured prompting techniques for process documentation, planning, coordination, issue resolution, and operational communication.
  • Use Gemini to analyse SOPs, reports, trackers, spreadsheets, logs, and operational information.
  • Apply Gemini for quality support, performance analysis, research, and continuous-improvement activities.
  • Build reusable AI-assisted operations workflows using Gems while maintaining accuracy, confidentiality, source validation, and human operational judgement.

Tools covered

Google GeminiGenerative AIPrompt EngineeringFile & Spreadsheet AnalysisGoogle SearchDeep ResearchGemsGoogle Workspace Integration

Who should attend

  • Operations Executives
  • Operations Managers
  • Business Operations Professionals
  • Process Coordinators
  • Operations Analysts
  • Process Excellence Professionals
  • Service Delivery Professionals
  • Production Operations Professionals
  • Supply Chain Operations Professionals
  • Quality & Process Professionals
  • Shared Services Professionals
  • Continuous Improvement Professionals
  • Team Leaders & Supervisors
  • Operations Team Leaders

Prerequisites & Participant Readiness

  • Basic understanding of operational processes and workplace activities
  • Familiarity with SOPs, trackers, schedules, reports, or operational documentation
  • Basic spreadsheet knowledge is helpful
  • Familiarity with Google Workspace is beneficial but not mandatory
  • Basic computer and internet proficiency
  • No programming knowledge required
  • No previous Gemini experience required
  • Participants should use anonymised or organisation-approved operational information during practical exercises

TOC Modules

Concepts
  • Understanding Google Gemini and Generative AI from an Operations perspective
  • Identifying suitable applications across documentation, planning, coordination, analysis, and reporting
  • Understanding AI assistance versus operational ownership and professional judgement
  • Recognising hallucinations, incomplete information, confidentiality, and validation requirements
Practical activities
  • Exploring Gemini through common operational activities
  • Comparing simple and structured prompts for the same operational requirement
  • Identifying repetitive operations tasks suitable for Gemini assistance

Scenarios

Operational Issue to Corrective Action

Operational Issue → Gemini Analysis → Evidence → Root-Cause Questions → 5 Whys → Corrective Actions → Ownership → Follow-Up

Participants use Gemini to structure the investigation of a realistic operational issue, identify evidence-based questions, and prepare corrective actions while retaining human ownership of root-cause confirmation.

Operations Data to Performance Improvement

Operations Tracker → Gemini Analysis → Trends & Bottlenecks → Recurring Issues → Priority Areas → Improvement Actions → Management Summary

Participants analyse sample operational data to identify performance issues and convert validated findings into practical improvement priorities and management-ready reporting.

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Instructor-ledVirtualHybrid

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