Artificial Intelligence in Human Resources Training Course

Course Overview

Learning Objectives

• By the end of the course, participants will be able to:
• Analyze the role and potential of artificial intelligence in modern HR management.
• Identify practical AI applications across the employee lifecycle.
• Evaluate HR processes suitable for AI automation and augmentation.
• Assess AI use cases based on business value, feasibility, and risk.
• Apply AI tools to support recruitment and talent acquisition activities.
• Use AI to strengthen workforce planning and employee analytics.
• Evaluate AI applications in learning, development, and performance management.
• Apply generative AI to selected HR communication and content processes.
• Analyze workforce data using AI-supported analytical approaches.
• Identify opportunities to improve employee experience through AI.
• Evaluate AI-enabled HR platforms and technology solutions.
• Assess data, integration, security, and implementation requirements.
• Identify risks related to bias, privacy, transparency, and responsible AI.
• Develop appropriate governance principles for AI use in HR.
• Establish measures for evaluating the effectiveness and value of AI initiatives.
• Develop an integrated roadmap for responsible AI adoption in human resources.

Who Should Attend

Learning Outcomes

• Upon completion of the course, participants will be able to:
• Explain the fundamentals and major applications of AI in human resources.
• Identify AI opportunities across recruitment, development, performance, and retention.
• Assess HR processes for automation and intelligent augmentation.
• Evaluate AI use cases according to organizational priorities and expected value.
• Apply AI-supported approaches to recruitment and candidate assessment.
• Use AI to support workforce planning and talent management.
• Analyze employee data using AI-enabled analytical techniques.
• Apply generative AI to selected HR tasks and workflows.
• Design AI-supported approaches to employee engagement and experience.
• Evaluate AI-enabled HR technology solutions and platforms.
• Define data and system requirements for AI implementation.
• Identify potential risks associated with AI-supported HR decisions.
• Apply principles of responsible and ethical AI use in HR.
• Establish governance and human oversight mechanisms for HR AI applications.
• Define performance indicators for measuring AI implementation outcomes.
• Develop a practical and responsible AI adoption roadmap for HR.

Course Outline

Upcoming Dates