Innovating Human Resource Management with Generative AI (GenAI)

Multiday, 13/10/2024 - 24/10/2024

Venue

Tertiary Courses Malaysia G-3A-02, Corporate Office Suite, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200

Entrance Fee

1000

Category

Business & Professional

Event Type

Class, Course, Training or Workshop

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Schedule

DateTime
13/10/20249:30 AM - 5:30 PM
24/10/20249:30 AM - 5:30 PM
Innovating Human Resource Management with Generative AI (GenAI)

In this course, we delve into the revolutionary role of Generative AI (GAI) in Human Resource Management. As the landscape of HR continues to evolve, integrating AI technologies becomes imperative for businesses looking to stay competitive. This course provides an in-depth understanding of how GAI can enhance HR functions, from recruitment and onboarding to employee engagement and data analytics.

Participants will learn practical applications of GAI in HR, exploring case studies and real-world scenarios where AI tools have transformed HR processes. The course emphasizes the ethical considerations and best practices in implementing AI, ensuring a balance between technological innovation and human-centric approaches. By the end of the course, attendees will be equipped with the knowledge and skills to drive HR innovation in their organizations using Generative AI.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M821

Topic 1 Catalyzing HR with Generative AI (GAI)

  • The future of work and the age of Generative AI (GAI)

  • How GAI catalyzes, transforms and amplifies HR

Topic 2 Generative AI Applications in HR

  • Talent acquisition and onboarding

  • Leadership and employee development

  • Diversity, Equity, and Inclusion

  • Employee experience

  • Developing HR policies

Topic 3 Preparing the Workforce for Generative AI

  • Assess organization readiness

  • Build AI awareness and fluency

  • Identify skill gaps

  • Training and pilot testing

Topic 4 Legal Consideration and the Future of Generative AI

  • Legal and ethical responsibilities

  • Future of Generative AI and tools