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The AI for Human Resources and Talent Analytics course in Budapest is designed to help HR professionals use AI and analytics to optimize recruitment, talent management, and employee development.

Budapest

Fees: 5900
From: 09-02-2026
To: 13-02-2026

Budapest

Fees: 5900
From: 20-04-2026
To: 24-04-2026

Budapest

Fees: 5900
From: 21-09-2026
To: 25-09-2026

AI for Human Resources and Talent Analytics

Course Overview

Human Resources is rapidly evolving with the adoption of Artificial Intelligence and data analytics. This AI for Human Resources and Talent Analytics Training Course introduces participants to tools and frameworks that improve recruitment, optimize workforce planning, and enhance employee engagement.

Through real-world case studies, hands-on exercises, and interactive discussions, participants will learn how to apply AI-driven insights responsibly to make smarter HR decisions, reduce bias, and create a more strategic HR function.

By the end of the course, attendees will be equipped to use data and AI to design evidence-based talent strategies and lead HR innovation.

Course Benefits

  • Improve recruitment and candidate selection with AI tools

  • Enhance employee performance and engagement analytics

  • Optimize workforce planning and retention strategies

  • Reduce bias and strengthen fairness in HR decision-making

  • Lead HR digital transformation with confidence

Course Objectives

  • Explore AI applications in HR and talent management

  • Apply analytics for smarter recruitment and onboarding

  • Use predictive models for workforce planning and turnover

  • Enhance employee performance management with data insights

  • Identify and mitigate risks of bias in HR analytics

  • Build strategies for HR digital transformation

  • Foster a culture of evidence-based HR leadership

Training Methodology

The course blends expert instruction, HR case studies, group activities, and practical analytics exercises. Participants will gain hands-on experience with tools and data sets relevant to HR functions.

Target Audience

  • HR managers and executives

  • Talent acquisition and recruitment specialists

  • Workforce planners and HR strategists

  • Business leaders responsible for people management

Target Competencies

  • AI-driven HR leadership

  • Talent analytics and workforce planning

  • Ethical and fair HR decision-making

  • HR digital transformation strategy

Course Outline

Unit 1: Introduction to AI in Human Resources

  • AI trends transforming HR

  • Benefits and challenges of AI adoption in HR

  • Case studies of AI in recruitment and talent management

  • Balancing efficiency with responsibility

Unit 2: Recruitment and Talent Acquisition with AI

  • AI-powered sourcing and candidate screening

  • Reducing bias in recruitment decisions

  • Improving onboarding with predictive insights

  • Tools and platforms for smarter hiring

Unit 3: Workforce Planning and Predictive Analytics

  • Forecasting workforce needs with AI

  • Predicting turnover and retention risks

  • Aligning workforce with business strategy

  • Scenario planning using predictive models

Unit 4: Employee Performance and Engagement Analytics

  • Using data for performance evaluation

  • Identifying drivers of employee engagement

  • AI tools for continuous feedback

  • Linking analytics to learning and development

Unit 5: Ethics and Governance in HR Analytics

  • Addressing bias and fairness in HR AI

  • Data privacy and employee trust

  • Regulatory and compliance requirements

  • Building an ethical HR analytics culture

Ready to transform your HR strategy?
Join the AI for Human Resources and Talent Analytics Training Course with EuroQuest International Training and lead the future of people management with data-driven insights.

AI for Human Resources and Talent Analytics

The AI for Human Resources and Talent Analytics Training Courses in Budapest provide HR professionals, talent managers, organizational development specialists, and business leaders with the tools and insights needed to apply artificial intelligence and data analytics to workforce planning and employee development. These programs focus on how AI-driven solutions and advanced analytical methods can enhance recruitment processes, strengthen talent retention strategies, and support evidence-based decision-making in human capital management.

Participants explore the full landscape of talent analytics, including workforce data modeling, skills mapping, performance trend analysis, and predictive analytics for future staffing needs. The courses highlight how AI can streamline recruitment through intelligent candidate sourcing, resume screening, and behavioral insights, while also improving employee engagement, career development planning, and organizational culture analysis. Through practical exercises and real-world case studies, attendees learn to transform HR data into actionable strategies that align workforce capabilities with organizational objectives.

These AI and HR analytics training programs in Budapest also address important considerations such as data privacy, ethical AI use in personnel decisions, and the need for transparency and fairness in automated HR workflows. Participants gain a clear understanding of how to balance technological efficiency with human judgment, ensuring that AI enhances HR functions without compromising equity or employee trust.

Attending these training courses in Budapest provides an engaging and collaborative environment enriched by the city’s dynamic professional landscape. Participants benefit from expert-led discussions, hands-on analytical practice, and opportunities to exchange insights with peers from diverse organizational backgrounds.

By completing this specialization, professionals will be equipped to harness AI tools and advanced analytics to improve talent acquisition, optimize workforce management, and support strategic HR planning. They will be prepared to lead data-informed HR initiatives that enhance organizational performance, employee development, and long-term organizational success in a rapidly evolving work environment.