AI Transformations in HR Operations

Course Info

Length: 1 Week

Type: Online

Available Dates

Fees

  • Oct-07-2024

    1,550

  • Nov-11-2024

    1,550

  • Dec-23-2024

    1,550

  • Jan-27-2025

    1,550

  • Feb-17-2025

    1,550

  • Mar-10-2025

    1,550

  • Apr-07-2025

    1,550

  • May-12-2025

    1,550

  • June-23-2025

    1,550

  • July-28-2025

    1,550

  • Aug-18-2025

    1,550

  • Sep-29-2025

    1,550

  • Oct-06-2025

    1,550

  • Nov-10-2025

    1,550

  • Dec-01-2025

    1,550

Course Details

Course Outline

5 days course

Introduction to AI in HR

 

  • Overview of AI technologies in human resources.
  • Key applications of AI in recruitment, employee development, and retention.
  • Introduction to relevant AI tools and technologies for HR.
  • Challenges and opportunities in adopting AI in HR practices.
  • Case studies of successful AI integration in HR processes.

Data Handling & Machine Learning in HR



  • Python programming basics for HR data analysis.
  • Exploratory data analysis techniques for HR datasets.
  • Hands-on workshop on using machine learning for candidate screening.
  • Addressing data collection and privacy challenges in HR.
  • Discussing best practices for data security and ethical use.

AI-Driven Recruitment Processes


  • Detailed overview of machine learning models for resume filtering and candidate ranking.
  • Building and applying natural language processing models to interpret candidate data.
  • Workshop on automating the screening process using AI tools.
  • Validation methods for ensuring the accuracy and fairness of AI recruitment tools.
  • Interactive Q&A on overcoming practical challenges in AI-driven recruitment.

Enhancing Candidate Assessment with AI


  • Using AI for designing and implementing mock interview systems.
  • Advanced techniques for evaluating candidates' responses using AI.
  • Workshop on setting up and using AI-driven interview platforms.
  • Case study discussion on the effectiveness of AI in candidate assessments.
  • Review of ethical considerations and bias mitigation in AI-driven assessments.

Deployment, Compliance, and Innovations in AI for HR


  • Best practices for integrating AI into existing HR systems and workflows.
  • Regulatory compliance and ethical considerations in deploying AI in HR.
  • Exploration of future trends and innovations in AI for HR.
  • Final project presentations on AI solutions developed by participants.
  • Course recap and feedback session to discuss learnings and potential implementations.