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.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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Instructor-ledVirtualHybrid
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