The AI and Automation in Human Resources in Dubai is a forward-looking training course designed to transform HR processes with intelligent and data-driven solutions.
From:
01-06-2026
From:
28-12-2026
Course Overview
Artificial Intelligence (AI) and automation are revolutionizing Human Resources by reshaping recruitment, performance management, learning, and workforce planning. This AI and Automation in Human Resources Training Course helps leaders understand the potential and challenges of digital HR, equipping them to deploy smart solutions that enhance efficiency and employee experience.
Through case studies, technology demonstrations, and strategic exercises, participants will explore how AI can optimize decision-making, reduce bias, and improve engagement while aligning with organizational strategy.
The course ensures HR professionals and leaders can embrace technology confidently while balancing ethics, compliance, and the human side of work.
Course Benefits
Harness AI and automation to modernize HR practices.
Improve efficiency in recruitment, onboarding, and performance management.
Leverage data and predictive analytics for workforce planning.
Enhance employee experience with digital HR tools.
Address ethical, compliance, and bias considerations in AI.
Course Objectives
Understand applications of AI and automation in HR functions.
Evaluate HR technologies for strategic implementation.
Apply data analytics for talent management and workforce planning.
Improve decision-making through predictive insights.
Enhance employee engagement with AI-driven tools.
Address ethical and legal challenges in digital HR.
Build future-ready HR strategies using AI and automation.
Training Methodology
The course uses interactive lectures, HR technology demos, real-world case studies, and practical workshops. Participants will apply frameworks and tools to real HR transformation challenges.
Target Audience
HR executives and senior leaders.
Talent management and workforce planning professionals.
Organizational development leaders.
Managers seeking to leverage technology in HR.
Target Competencies
HR technology leadership.
AI and automation applications.
Workforce analytics.
Digital transformation in HR.
Course Outlines
Unit 1: Introduction to AI and Automation in HR
Defining AI, automation, and digital HR.
Trends reshaping the HR function.
Benefits and challenges of HR automation.
Case studies of AI in HR success.
Unit 2: Recruitment and Talent Acquisition
AI-driven sourcing and candidate screening.
Automation in onboarding processes.
Reducing bias in recruitment with AI.
Practical tools for talent acquisition.
Unit 3: Performance Management and Learning
AI in employee performance monitoring.
Personalized learning with adaptive systems.
Automating feedback and appraisal cycles.
Linking learning to career development.
Unit 4: Workforce Analytics and Predictive Insights
Using data for workforce planning.
Predictive analytics for talent retention.
Identifying skills gaps with AI tools.
Dashboards and visualization for HR leaders.
Unit 5: Employee Engagement and Experience
Chatbots and virtual assistants in HR.
Enhancing employee self-service.
Digital tools for employee well-being.
Case examples of AI in engagement.
Unit 6: Ethical, Legal, and Compliance Issues
Risks of bias in AI systems.
Data privacy and employee rights.
Ethical frameworks for HR technology.
Regulatory compliance considerations.
Unit 7: Building Future-Ready HR Strategies
Aligning digital HR with corporate strategy.
Leading HR transformation initiatives.
Sustaining innovation in HR practices.
Roadmap for future HR leadership.
Ready to lead HR into the digital future?
Join the AI and Automation in Human Resources Training Course with EuroQuest International Training and transform your HR leadership with technology.
The AI and Automation in Human Resources Training Courses in Dubai provide professionals with an advanced and practical understanding of how emerging technologies are transforming HR functions, workforce management, and organizational performance. Designed for HR managers, business leaders, talent acquisition specialists, and organizational development professionals, these programs explore how artificial intelligence, machine learning, and automation can streamline operations, enhance decision-making, and improve employee experience across the HR lifecycle.
Participants gain insight into the foundational principles of AI-driven HR, examining how predictive analytics, automated workflows, and intelligent systems support recruitment, performance management, learning and development, and employee engagement. The courses highlight practical applications such as resume screening algorithms, chatbots for HR queries, automated onboarding solutions, digital performance dashboards, and tools that forecast workforce trends. Through case studies and hands-on exercises, attendees learn to evaluate HR technologies, manage data responsibly, and integrate AI tools into existing HR processes while maintaining transparency and fairness.
These AI and HR automation training programs in Dubai also emphasize the strategic impact of digital transformation within human resources. Participants explore issues related to change management, data ethics, algorithmic bias, and the evolving role of HR professionals in technology-enabled environments. The curriculum ensures a balance between technical understanding and human-centered leadership, enabling participants to leverage automation without compromising organizational values or employee trust.
Attending these training courses in Dubai offers an engaging and globally oriented learning experience supported by expert facilitators and a diverse professional community. The city’s innovation-driven business landscape provides an ideal backdrop for exploring the future of work and modern HR technologies. By completing this specialization, participants will be equipped to implement AI-based solutions responsibly, enhance HR efficiency, and drive strategic value—empowering their organizations to thrive in a digitally advanced, competitive global environment.