AI in Human Resources

  • AI in Human Resources
  • United Kingdom (UK) - London

AI in Human Resources

Course Category : Data Management

A practice-oriented programme focused on leveraging AI to enhance HR decision-making, optimise talent acquisition, improve employee experience, and support strategic workforce planning.
Duration: 5 Days | Level: Intermediate.

Starts On

10 - August - 2026

Ends On

14 - August - 2026

Location

United Kingdom (UK) - London

Language

English

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View Course Introductory PDF

Targeted Audience

  • Human Resources Managers
  • Talent Acquisition Managers
  • Middle Management Leaders
  • Learning and Development Managers
  • Digital Transformation Managers
  • HR Analysts
  • Business Unit Leaders
  • Governance and Compliance Officers

Targeted Skills

  • AI-Enabled HR Operations
  • Workforce Data Analytics
  • Recruitment Automation and Candidate Assessment
  • Performance and Retention Decision Support
  • Strategic Workforce Planning
  • Ethical and Governed AI in HR

Expected Outcomes

  • Understand the role of AI in modern HR functions.
  • Use data to support recruitment and performance decisions.
  • Apply AI tools to enhance candidate and employee experience.
  • Support workforce planning through analytics.
  • Reduce bias and improve fairness in HR decisions.
  • Measure organisational impact of AI-driven HR initiatives.

Training Topics Index

  • Evolution of HR roles
  • AI as a strategic partner
  • Automation vs intelligence
  • Organisational value creation
  • Risks and challenges

  • Recruitment data sources
  • Intelligent CV screening
  • Data-driven candidate assessment
  • Candidate experience enhancement
  • Bias reduction

  • Predictive performance analytics
  • Skills gap identification
  • AI-powered personalised learning
  • Development planning support
  • Learning impact measurement

  • Workforce analytics
  • Future demand forecasting
  • Attrition risk analysis
  • Retention strategies
  • Executive decision support

  • Ethical AI in HR
  • Employee data privacy
  • Transparency and accountability
  • Regulatory compliance
  • Trust-building frameworks