The AI and Automation in Human Resources course in Geneva is designed for HR professionals seeking to implement AI and automation tools to optimize talent management, recruitment, and employee engagement.
From:
23-02-2026
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 Geneva equip professionals with the knowledge and practical skills to leverage artificial intelligence and automation technologies to optimize HR processes, enhance decision-making, and improve workforce management. Designed for HR leaders, talent managers, HR analysts, and organizational development specialists, these programs focus on integrating AI-driven tools to drive efficiency, accuracy, and strategic impact in human resources operations.
Participants gain a comprehensive understanding of AI applications and automation in HR, exploring technologies such as predictive analytics, machine learning for talent acquisition, automated payroll and benefits administration, employee engagement platforms, and performance management systems. The courses emphasize how digital tools can streamline repetitive tasks, reduce operational errors, enhance data-driven decision-making, and free HR professionals to focus on strategic initiatives. Through case studies, interactive workshops, and practical exercises, attendees learn to implement AI solutions effectively, measure their impact, and align technology adoption with organizational goals.
These HR technology and automation training programs in Geneva combine theoretical insights with applied practice, covering topics such as recruitment automation, predictive workforce analytics, AI-driven learning and development, compliance considerations, and ethical implications of AI in HR. Participants develop skills to evaluate AI tools, design automated workflows, and integrate technology solutions into existing HR processes to enhance productivity and employee experience.
Attending these training courses in Geneva provides professionals with the opportunity to engage with international experts and peers from diverse industries, gaining exposure to global best practices in AI adoption and digital HR transformation. The city’s international and innovation-driven business environment enriches the learning experience, offering insights into emerging technologies, implementation strategies, and data-driven HR practices. By completing this specialization, participants will be equipped to implement AI and automation in HR effectively—improving efficiency, enhancing workforce insights, and driving strategic organizational value in today’s digitally evolving workplace.