icon icon

AI in HR – automation, personalization, and optimization of HR processes

icon

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

icon

Clear AI foundations for HR - You will understand how the key AI technologies used in HR work, making it easier to assess which tools can truly improve recruitment, employee development, and day-to-day HR operations.

icon

Faster candidate screening - You will learn how to use AI to review CVs and cover letters, so you can identify strong applicants faster, organize applications better, and reduce manual work in early hiring stages.

icon

Automated candidate communication - You will discover how to implement AI chatbots in candidate communication to answer questions faster, improve the candidate experience, and reduce repetitive tasks for your HR team.

icon

Better talent matching - You will explore algorithms that assess candidate-job fit, helping you make more consistent hiring decisions and align candidate skills more accurately with role requirements and business needs.

icon

Personalized employee growth - You will learn how to use AI for development path planning, performance analysis, and competency management, so you can design more relevant growth actions for different employee groups.

icon

Streamlined HR operations - You will see how to automate onboarding, payroll, and other HR processes to shorten handling time, reduce administrative errors, and organize the daily work of your HR function more efficiently.

icon

Data-driven HR decisions - You will gain practical insight into predictive HR analytics, allowing you to anticipate turnover, identify organizational trends, and find cost-saving opportunities beyond intuition alone.

icon

Safe and ethical implementation - You will learn to identify legal, ethical, and personal data risks, so you can implement AI in HR in a transparent, fair, and compliant way that fits your organization and regulations.

Training programme

1. Introduction to AI in HR

  • what is artificial intelligence and how does it work?
  • key AI technologies used in HR,
  • overview of AI tools supporting personnel management.

2. AI in recruitment and candidate selection

  • automatic analysis of CVs and cover letters,
  • use of AI chatbots  in communication with candidates,
  • algorithms for assessing candidates' fit for positions.

3. AI in employee management and development

  • personalization of career development paths
  • automatic analysis of employee performance
  • AI in training planning and competency management

4. AI in HR services and administration

  • automation of HR processes (e.g. onboarding, payroll),
  • use of AI in the analysis of employee sentiment and engagement,
  • AI systems supporting making HR decisions.

5. AI in HR data analysis

  • predictive analytics in HR – predicting employee turnover,
  • optimization of employment costs thanks to AI,
  • use of AI in identifying trends in the organization.

6. Ethics and AI Safety in HR

  • risks related to the use of AI in HR,
  • legal regulations regarding AI and the protection of personal data,
  • ensuring transparency and fairness in AI-based decisions.

7. Practical exercises and case study

  • examples of AI implementations in HR in companies,
  • practical use of AI tools in everyday HR work,
  • creating a strategy for implementing AI in the organization.

What are the prerequisites for participating in the training?

icon

Basic HR process knowledge - You should be familiar with core HR processes such as recruitment, onboarding, employee evaluation, and training so you can relate the AI tools discussed to your own work.

icon

Working with HR data - You should be comfortable using simple HR data and reports, because during the training you will interpret analysis results and examples of data-driven HR decisions.

icon

Digital tool proficiency - You should be able to use a computer and common office and online tools with ease, so you can take part in exercises involving AI-supported solutions without difficulty.

icon

Data protection awareness - You should understand the basic rules of personal data protection in HR, as the training covers compliance, transparency, and risks connected with AI implementation.