CERTIFIED AI – HUMAN RESOURCES DYNAMICS STRATEGIST

Available Dates & Locations

Dates
January 5, 2026
January 9, 2026
Location
kuala Lumpur
Duration
5 Days
Venue
09:00 am – 03:30 pm (Kuala Lumpur)
Language
EN
Fees

$6,050.00

Dates
June 8, 2026
June 12, 2026
Location
London
Duration
5 Days
Venue
09:00 am – 03:30 pm (London)
Language
EN
Fees

$6,050.00

Dates
November 16, 2026
November 20, 2026
Location
Dubai
Duration
5 Days
Venue
09:00 am – 03:30 pm (Dubai)
Language
EN
Fees

$5,450.00

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COURSE OVERVIEW

This advanced training program equips HR professionals with cutting-edge expertise in leveraging artificial intelligence to redefine human capital strategies. Drawing on the latest research and dynamic workforce models, the course emphasizes the synergy between AI-driven insights and strategic HR practices. Through immersive learning and practical application, participants will gain the knowledge to drive digital transformation, enhance decision-making, and foster organizational agility. Designed to future-proof HR leadership capabilities, this course delivers impactful strategies tailored for modern enterprises operating in rapidly evolving environments.

COURSE OBJECTIVES

By attending this course, participants will be able to:

  • Evaluate the strategic role of AI in human capital management
  • Integrate AI tools into workforce planning and talent analytics
  • Interpret data-driven insights to inform HR decision-making
  • Design ethical AI governance frameworks for HR practices
  • Lead organizational change through intelligent automation
  • Align AI strategies with human-centered workforce models
  • Enhance employee experience through predictive engagement tools
  • Transform HR capabilities for future-readiness and agility
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TARGET COMPETENCIES

  • Strategic foresight
  • AI integration
  • Workforce intelligence
  • Change enablement
  • Data fluency
  • Ethical governance
  • Human-AI collaboration

This course is designed for human resources professionals who are ready to step into or enhance strategic leadership roles in their organizations.

  • HR managers aiming to embed AI into people operations
  • Talent leaders seeking to drive culture transformation through technology
  • Organizational development consultants refining strategic capabilities
  • HR business partners leading digital transformation projects
  • Professionals navigating the ethical dimensions of AI in human capita

The course combines expert-led instruction, real-world case analysis, simulations, and interactive group exercises to promote practical application and strategic insight.

Strategic Foresight

  • Identifying trends shaping the future of work
    • Scenario analysis frameworks
    • Impact of digital disruption
    • Predictive modeling tools
  • Evaluating industry-specific AI transformations
    • AI applications in HR sectors
    • Global benchmark studies
    • Sectoral impact assessment
  • Mapping talent landscapes
    • Workforce gap analysis
    • Emerging roles and skills
    • Succession planning dynamics
  • Envisioning future-ready HR structures
    • Agile HR operating models
    • Hybrid workforce integration
    • Strategic workforce design
  • Building foresight into HR strategy
    • Trend mapping tools
    • Risk identification models
    • Strategic scenario planning

AI Integration

  • Understanding AI technologies in HR
    • Natural language processing tools
    • Machine learning algorithms
    • Computer vision applications
  • Automating recruitment processes
    • AI in resume screening
    • Chatbot-driven interviews
    • Bias mitigation mechanisms
  • Enhancing performance management
    • AI-based feedback systems
    • Continuous performance tracking
    • Sentiment analysis in reviews
  • Leveraging AI for learning and development
    • Personalized learning platforms
    • Predictive learning analytics
    • Upskilling path recommendations
  • Deploying AI in HR operations
    • Robotic Process Automation (RPA)
    • Self-service HR tools
    • Digital employee assistants

Workforce Intelligence

  • Interpreting talent analytics
    • Predictive turnover modeling
    • Employee lifetime value
    • Retention heatmaps
  • Linking analytics to HR strategy
    • KPI alignment models
    • Strategic dashboard design
    • Cross-functional data insights
  • Real-time people analytics
    • Live pulse surveys
    • Dynamic engagement dashboards
    • Performance heatmaps
  • AI-powered succession planning
    • Future role mapping
    • Capability-based matching
    • Pipeline visualization tools
  • Metrics that matter in modern HR
    • Productivity analytics
    • Experience metrics
    • Cultural indicators

Change Enablement

  • Understanding the human side of transformation
    • Resistance management models
    • Emotional response mapping
    • Engagement phase planning
  • Communicating change with impact
    • Strategic storytelling
    • Empathy-centered messaging
    • Multichannel communication
  • Change readiness assessments
    • Organizational diagnostics
    • Capability gap analysis
    • Risk readiness scores
  • Embedding change through culture
    • AI-aligned values development
    • Inclusion of digital ethics
    • Adaptive behavior modeling
  • Driving adoption of AI in HR
    • Pilot project design
    • Champion networks
    • Feedback loops integration

Data Fluency

  • Developing HR data literacy
    • Understanding data taxonomies
    • Interpreting statistical outputs
    • Identifying misleading trends
  • Building effective dashboards
    • Visualization best practices
    • Dynamic KPI reporting
    • Interactive data storytelling
  • Ensuring data privacy and compliance
    • GDPR fundamentals
    • Consent management
    • Data minimization protocols
  • Managing large datasets
    • Cloud HR platforms
    • Structured vs. unstructured data
    • Data cleaning and validation
  • Aligning data to decisions
    • Strategic data mapping
    • Decision impact analytics
    • Predictive decision-making

Ethical Governance

  • Understanding AI ethics in HR
    • Bias and fairness principles
    • Transparent algorithm design
    • AI accountability policies
  • Establishing ethical HR frameworks
    • Ethical review boards
    • HR tech assessment tools
    • Stakeholder input integration
  • Creating responsible AI policies
    • AI usage declarations
    • Algorithmic audit procedures
    • Third-party compliance checks
  • Navigating legal implications
    • Employment law and AI
    • Algorithmic discrimination risks
    • Global legal landscapes
  • Building trust in AI-driven HR
    • Transparent communication
    • Employee consent frameworks
    • Ethical tech culture

Human-AI Collaboration

  • Balancing tech and human judgment
    • Augmented decision-making
    • Trust in machine outputs
    • Human-in-the-loop systems
  • Designing collaborative workflows
    • HR-AI task distribution
    • Role redesign strategies
    • Workflow automation mapping
  • Empowering employees with AI
    • Upskilling for AI tools
    • AI-supported self-service
    • Learning in the flow of work
  • AI and leadership decision-making
    • Scenario modeling tools
    • Insight-powered strategic decisions
    • Board-level AI reporting
  • Humanizing digital transformation
    • Empathy-led tech design
    • Co-creation practices
    • Inclusion in transformation strategy
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