AI for Human Resources and Talent Analytics Training Course

Course overview

AI is reshaping how organizations hire, plan, and develop their people. It can screen candidates, forecast turnover, and surface the drivers of engagement at a scale no HR team could manage manually. It can also entrench bias, erode trust, and cross privacy lines if used carelessly. This course shows HR professionals how to use AI and analytics well.

Participants examine AI in recruitment and talent acquisition, workforce planning and predictive analytics, and performance and engagement analytics. The course gives real weight to ethics, bias, and employee privacy, closing on how to build an HR analytics culture that people trust.

Why this matters

People decisions are among the highest-stakes an organization makes, and they have historically rested on intuition. AI can make them more evidence-based, but hiring algorithms have also been shown to replicate historical bias at scale, and employee data is deeply sensitive. HR professionals who understand both sides get the benefit safely, work that builds on the modeling in the HR Analytics and Predictive Modeling course.

What you will be able to do afterwards

By the end of the course, participants will be able to:

• Explain how AI is changing HR and where it genuinely helps.
• Use AI in sourcing, screening, and onboarding while reducing bias.
• Forecast workforce needs and turnover with predictive analytics.
• Analyze performance and engagement with data.
• Address bias, privacy, and compliance in HR AI.

Course outline

Unit 1: Introduction to AI in human resources

The unit sets out AI's role in HR.

• 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

Participants examine AI in hiring.

• AI-powered sourcing and candidate screening.
• Reducing bias in recruitment decisions.
• Improving onboarding with predictive insight.
• Tools and platforms for smarter hiring.

Unit 3: Workforce planning and predictive analytics

The unit covers planning the workforce with AI.

• Forecasting workforce needs with AI.
• Predicting turnover and retention risk.
• Aligning workforce with business strategy.
• Scenario planning using predictive models.

Unit 4: Employee performance and engagement analytics

Participants study analytics on people.

• Using data for performance evaluation.
• Identifying the drivers of employee engagement.
• AI tools for continuous feedback.
• Linking analytics to learning and development.

Unit 5: Ethics and governance in HR analytics

The closing unit protects people and trust.

• Addressing bias and fairness in HR AI.
• Data privacy and employee trust.
• Regulatory and compliance requirements.
• Building an ethical HR analytics culture.

How the course is delivered

The course combines structured teaching with HR cases, worked examples, and guided analysis of AI tools and their outputs. Participants reason through where AI helps and where it can harm, so they can apply it responsibly. The course is educational and does not provide legal advice on employment or data protection.

Who should attend

The course suits HR managers and business partners, talent acquisition and people analytics staff, HRIS professionals, and leaders responsible for workforce decisions. No technical background is required.

About EuroQuest International Training

EuroQuest International Training is an international training provider founded in 2015, with a catalog of more than 1,000 courses delivered to over 15,000 participants. Headquartered in Bratislava, EuroQuest runs courses across a network of European and regional training hubs and focuses on practical, current, and professionally relevant content.

Frequently asked questions

Can AI make hiring fairer, or does it make bias worse?

It can do either. AI trained on biased historical hiring data will reproduce that bias at scale. The course covers how bias enters these systems and the techniques to detect and reduce it, so AI improves fairness instead of automating discrimination.

Do I need technical skills?

No. The course is written for HR professionals and focuses on using and questioning AI tools rather than building them, explaining the concepts in HR terms.

How does it handle employee data privacy?

Privacy and employee trust are treated as central, since people analytics uses sensitive data. The course covers the regulatory requirements and the practices that keep employee trust intact.

Related courses

• AI Ethics and Responsible Data Use
• Data Analytics for Strategic Workforce Planning
• Employee Engagement and Retention Strategies
• AI-Driven Business Decision-Making

Register for this course

To reserve a place or request an in-house session for your team, contact EuroQuest International Training and our team will help you confirm dates and details.