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AI-POWERED HR MANAGEMENT, A BEGINNER’S GUIDE TO LARGE LANGUAGE MODELS

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INTRODUCTION FOR AI-POWERED HR MANAGEMENT, A BEGINNER’S GUIDE TO LARGE LANGUAGE MODELS

This 2-day program introduces HR professionals to the transformative power of Large Language Models (LLMs) in streamlining and enhancing HR functions. Participants will explore how AI can revolutionize recruitment, onboarding, performance management, and employee engagement while ensuring ethical and compliant practices

 

COURSE OBJECTIVES

  • Understand the fundamentals of AI and LLMs and their impact on HR management.
  • Equip participants with tools and techniques to automate HR processes.
  • Analyze employee data and improve decision-making using AI tools.

 

OUTCOMES

  • Upon successful completion of this course, participants will be able to:
  • Participants can demonstrate knowledge of how AI and LLMs can enhance various HR functions.
  • Increased efficiency in recruitment, onboarding, and communication processes in participant organizations.
  • Improved employee engagement and performance management strategies through the use of AI.

 

TARGET AUDIENCE

  • HR Managers and Directors
  • HR Generalists
  • Talent Acquisition Specialists
  • Learning and Development Coordinators
  • Compensation and Benefits Analysts
  • Employee Relations Specialists
  • HR Data Analysts
  • Organizational Development Professionals
  • Recruitment Consultants
  • Small Business Owners

 

PREREQUISITE

At least one year of experience in HR Management

 

COURSE CONTENT

Day 1

Session 1:

Overview of AI and LLMs in HR

 

Session 2:

Recruitment and Talent Acquisition with AI

 

Session 3:

Automating Onboarding Processes with AI

 

Session 4:

Using LLMs for Employee Communication

 

Group Discussion and Q&A

 

Day 1 Wrap-Up and Feedback

 

Day 2

Session 1:

Performance Management Using AI and LLMs

 

Session 2:

Employee Engagement and Retention Strategies

 

Session 3:

Learning and Development through AI and LLMs

 

Session 4:

Analyzing HR Data with AI for Better Decision-Making

 

Group Discussion and Q&A

 

Day 2 Wrap-Up and Next Steps

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