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Short Course

Practical Applications of GenAI Technology for Human Resources

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
To be advised2Classroom LearningTGS-2024048818

Course Overview

The excitement over Generative Artificial Intelligence (GenAI) in the workplace is palpable. As organisations rush to implement GenAI capabilities, understanding the technology’s potential will help shape critical decisions. This course goes beyond the basics and enables Human Resource (HR) professionals to implement practical GenAI technology solutions in their workplaces. Participants will learn to build a compelling business case for GenAI technology, and apply it to various HR functions such as recruitment, learning & development, and performance management.

Course Objectives

At the end of the course, each participant would be able to:

  • Develop the GenAI technology business imperatives for HR
  • Evaluate GenAI technology applications and articulate their value propositions
  • Explore appropriate practical GenAI technology solutions for relevant HR operations, applications and processes
  • Manage the change process in the application of GenAI for HR

Who Should Attend

Managers, human resource leaders, professionals and Future of Work Strategists involved in organisation growth, transformation and innovations.

Prerequisites

Minimum Diploma level.

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Types of Available Fundings

  • SkillsFuture Funding
  • SkillsFuture Credit
  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Mr Adam Basor

    Mr Adam Basor

    Adam Basor has more than 20 years of professional work experience in the Human Resources (HR), Strategy, Leadership & Generative AI space. He has managed the design & implementation of high impact, results-oriented transformative Human Capital/Talent, Leadership, Organisation Development (OD), Strategy & Process Improvement consultancy projects. He is also an Adult Educator with Advanced Computing For Executives (ACE), NUS School of Computing.   Adam was conferred the “HR Leader of the Year” award recently at the Digital Human Resources Technology (DHRT) 2024 Summit & Awards, Kuala Lumpur, Malaysia. He is also the LinkedIn Top Voice in “Artificial Intelligence” and “Human Resources”.   He has been a HR professional since 2000 & had the opportunity to work both locally & internationally as a Management Consultant, Lecturer, Executive Coach, Talent Expert & Trainer in his professional career journey. Adam was actively involved in the national HR agenda. He has partnered with key stakeholders such as Ministry of Manpower, SkillsFuture Singapore, Workforce Singapore to develop the HR leaders, community & ecosystem. Adam is focusing on Generative Artificial Intelligence (GenAI) for Human Resources leading Chief Human Resource Officers (CHROs) & organisations to understand, strategise & implement AI in their HR departments. He has served as the Head with the Islamic Development Bank Group and an Asst. Director with the Institute for Human Resource Professionals, Singapore.   He has also managed & facilitated various leadership development programmes locally & internationally. This include middle east organisations such as the Royal Academy of Management, Oman & the Islamic Development Bank (IsDB) Group, Saudi Arabia.   As a thought leader, Adam has spoken in seminars & conferences in Kuala Lumpur, KSA & Singapore  
    • Digital Human Resources Technology (DHRT) 2024 Summit & Awards, Kuala Lumpur, Malaysia
    • GenAI for Managers, Archova, USA
    • GenAI for HR at the Workplace 2024 – Unilever Learning Week, Pakistan
    • Generative AI Conference 2024, Kuala Lumpur Malaysia
    • NUS Chief Technology Officer Program (CTO) Graduation Forum 2024
    • The Future Workforce: Adapting and Thriving in the Age of AI, 2023| General Assembly
    • Chief Human Resource Officer (CHRO) Singapore 2023 | HRM Asia
    • National University of Singapore (NUS) Adult Educators' Symposium 2024 |Panel Moderator

    Mr Zaid Bin Hamzah

    Mr Zaid Bin Hamzah

    Zaid Hamzah is an AI and data strategist and practitioner specialising in AI in finance and law, AI and data governance and AI in information security. An AI patent holder, he is currently an Executive Education Fellow at the National University of Singapore (NUS) School of Computing’s Advanced Computing for Executives centre where he runs programmes on AI Innovation Management, Intellectual Property Rights in AI Innovation, and Commercialisation of AI Innovation. He has taught legal AI at the Singapore Management University School of Law. Zaid is deeply involved in AI R&D and innovation. His AI patent relating to risk management in a supply chain context was granted by the Intellectual Property Office of Singapore in December 2023. He is currently involved in AI research and innovation in the area of decision intelligence and cybersecurity. Author of 10 books spanning law, technology, intellectual property and AI, Zaid has over 35 years of professional experience. He has previously served as (i) Microsoft's Director for intellectual property and commercial software; (ii) Senior Legal Advisor to Singtel’s joint venture with Warner Bros and Sony Pictures (iii) Chief Regulatory Legal & Compliance Officer at publicly-listed Telekom Malaysia; (iv) Associate, Khattar Wong & Partners (Singapore law firm) and (v) Singapore Government service. Zaid has a law degree from the National University of Singapore and completed his Masters in International Relations at the Fletcher School of Law and Diplomacy, Tufts University on a Fulbright scholarship. Zaid is a member of the Board of Directors, NIE International (which is wholly owned by Nanyang Technological University). Zaid volunteers his professional services to start ups in the area of AI management and intellectual property protection and regularly conducts community programmes on how to get young children ready for a data and AI future.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Programme Fee S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
    Less: SSG Grant Amount S$1,330.00 S$1,330.00 S$1,330.00 S$1,330.00 -
    Nett Programme Fee S$570.00 S$570.00 S$570.00 S$570.00 S$1,900.00
    9% GST on Nett Programme Fee S$51.30 S$51.30 S$51.30 S$51.30 S$171.00
    Total Nett Programme Fee Payable, Including GST S$621.30 S$621.30 S$621.30 S$621.30 S$2,071.00
    Less Additional Funding - S$380.00 - S$380.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$621.30 S$241.30 S$621.30 S$241.30 S$2,071.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Other Information

    Learners are encouraged to attend the following two courses to gain a holistic view of GenAI:

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Email: soc-ace@nus.edu.sg

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