The AI and Automation in Human Resources in Amman is a specialized training course designed to equip HR professionals with tools to harness technology for smarter workforce management.
From:
13-04-2026
From:
14-09-2026
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 Amman provide professionals with practical knowledge and strategic insight into how emerging technologies are transforming HR functions and workforce management. These programs are designed for HR managers, talent acquisition specialists, organizational development leaders, and business executives seeking to enhance efficiency, improve decision-making, and strengthen employee experience through intelligent systems.
Participants explore core concepts of AI-driven recruitment, automated screening tools, digital performance management systems, data analytics, and predictive workforce planning. The courses highlight how automation can streamline administrative tasks, reduce hiring biases, enhance onboarding processes, and support continuous employee development. Through hands-on exercises, demonstrations, and real-world case studies, attendees learn to evaluate HR technology platforms, interpret HR data, and integrate AI solutions that align with organizational priorities.
These HR technology and automation training programs in Amman also emphasize ethical considerations, transparency, and responsible implementation. Participants examine issues related to data security, employee privacy, algorithmic fairness, and change management to ensure that technology adoption supports both organizational goals and positive workplace culture. The curriculum underscores the importance of balancing automation with human judgment—maintaining empathy, communication, and leadership at the core of HR practice.
Attending these training courses in Amman offers valuable opportunities to engage with HR professionals and technology experts who are shaping the future of workforce management. Amman’s expanding business and service sectors provide a dynamic environment for exploring how AI and digital systems can be integrated into diverse organizational contexts.
By completing this specialization, participants will be equipped to lead HR digital transformation initiatives, improve operational efficiency, and strengthen talent engagement. They will gain the skills and strategic awareness needed to apply AI and automation effectively—ensuring that HR functions remain responsive, forward-thinking, and aligned with the evolving needs of modern workplaces.