Role-Based Programme
RB0062
Gemini for Human Resources
Research, Analyse & Build Smarter HR 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 recruitment, onboarding, learning, performance, employee communication, HR operations, and workforce research.
- Apply advanced prompting and context-engineering techniques to produce structured, relevant, and audience-appropriate HR outputs.
- Use Gemini with files, Google Search, Deep Research, and approved Workspace information to analyse HR documents, workforce information, and external trends.
- Build reusable Gemini-assisted HR workflows using Gems, Drive-based knowledge, and Google Workspace applications.
- Apply appropriate privacy, confidentiality, fairness, source validation, and human-review controls when using Generative AI for people-related activities.
Tools covered
Google GeminiGenerative AIAdvanced Prompt EngineeringGemini Deep ResearchFile AnalysisGemsGoogle SearchGemini in Google WorkspaceGmailDocsDriveSheets & Slides
Who should attend
- HR Business Partners
- HR Managers & HR Generalists
- Talent Acquisition Professionals
- Learning & Development Professionals
- Talent Management Professionals
- HR Operations Professionals
- Employee Engagement Professionals
- Performance Management Professionals
- Workforce Planning Professionals
- HR Analytics Professionals
- Compensation & Benefits Professionals
- HR Shared Services Professionals
- HR Digital Transformation Teams
- People & Culture Leaders
Prerequisites & Participant Readiness
- Basic understanding of common Human Resources activities and employee lifecycle processes
- Familiarity with HR documents, spreadsheets, emails, policies, or reports
- Familiarity with Google Workspace applications 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 and Generative AI capabilities in HR work
- Identifying suitable applications across recruitment, onboarding, development, communication, and HR operations
- Understanding hallucinations, bias, incomplete context, and AI limitations
- Understanding where human HR judgement must remain primary
Practical activities
- Exploring Gemini through representative HR activities
- Mapping recurring HR tasks to appropriate Gemini-assisted workflows
- Comparing manual and Gemini-assisted approaches to selected HR activities
Scenarios
Workforce & Skills Intelligence
Business Requirement → Gemini Deep Research → External Workforce Trends → Role & Skill Analysis → Capability Gaps → Learning Priorities → HR Leadership Brief
Participants use Gemini to research changing workforce and skill requirements, synthesise evidence from multiple sources, and produce an HR planning brief to support capability-development decisions.
HR Policy to Employee Knowledge Workflow
Approved HR Policy → Drive / File Analysis → Gemini → Policy Summary → Employee FAQs → Manager Guidance → Gem → Human HR Review
Participants create a reusable Gemini-based HR knowledge workflow that converts approved policies into consistent employee and manager guidance while maintaining HR validation and appropriate information controls.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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Instructor-ledVirtualHybrid
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