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WSQ - Agentic AI for HR

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

By the end of the course, learners will be able to:

LO1: Compare generative AI's influence on HR operating models with conventional industry practices.
LO2: Analyse digitalization's potential to revolutionize HR functions with generative AI.
LO3: Conduct feasibility analyses and implement generative AI for digitalizing HR processes.
LO4: Identify generative AI applications in HR that adhere to legal, ethical, and security protocols.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Agentic AI for HR

Course Code: TGS-2024045795

WSQ
SkillsFuture Credit
PSEA
SFEC
Absentee Payroll
MCES

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This innovative course is tailored for HR professionals and leaders seeking to navigate the digital transformation in HR through the application of Generative AI (GAI), preparing them for the future of work. The course begins with an exploration of how GAI is catalyzing, transforming, and amplifying HR functions, offering a comparative analysis against conventional industry practices. Participants will delve into various applications of GAI within HR, including talent acquisition, leadership development, diversity, equity, inclusion initiatives, and the enhancement of employee experience through the development of forward-thinking HR policies.

The curriculum progresses to address the preparation of the workforce for the integration of GAI, emphasizing the assessment of organizational readiness, building AI awareness among staff, identifying skill gaps, and conducting training and pilot testing to ensure smooth adoption. Furthermore, it covers the critical aspects of legal, ethical, and security protocols necessary for implementing GAI in HR processes, alongside a forward-looking perspective on the future of Generative AI tools and their potential impact on HR practices. By the end of the course, participants will possess a comprehensive understanding of how to analyze digitalization's potential in HR, conduct feasibility analyses, and implement GAI solutions that align with organizational goals and adhere to ethical standards.

Full Fee $900.00 Before GST

GST $81.00 9% of fee

Baseline Nett $531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $351.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses. Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2024045795)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Catalysing HR with Generative AI (GAI)

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

How GAI catalyses, 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

Written Exam
Practical Exam

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents aged 21 and above
From 1 October 2023, attendance-taking for SWDA's (formerly SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.
Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SWDA's (formerly SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SWDA would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

HR Manager
Talent Acquisition Specialist
HR Digital Transformation Lead
Organizational Development Consultant
Employee Experience Manager
Diversity and Inclusion Officer
HR Policy Analyst
Workforce Development Specialist
Generative AI HR Solutions Architect
HR Data Analyst
Legal Advisor in HR Tech
HR Tech Project Manager
HR Innovation Strategist
Ethical AI Compliance Officer
Employee Relations Specialist with AI Focus
Learning and Development Manager
AI Training Coordinator
HR Systems Analyst
HR Technology Consultant
Future of Work Researcher

Trainers

Sivanesan Sivakaruniam is an IT governance and cybersecurity professional with over 20 years of experience in technology risk management, systems auditing, and business process control. Having led digital transformation and compliance initiatives across manufacturing and service industries, he specializes in helping organizations build strong cybersecurity frameworks to safeguard their operations. His expertise includes data protection, user access management, and cyber risk mitigation strategies aligned with ISO 27001 and NIST standards. As a certified corporate trainer, Sivanesan is known for delivering clear, practical, and relatable cybersecurity guidance for both technical and non-technical audiences.

Tan Woei Ming is an accomplished data scientist and AI engineer with over 15 years of experience in artificial intelligence, machine learning, and data-driven innovation. Holding a Master’s in Intelligent Systems from the National University of Singapore (NUS) and a First-Class Honours in Electrical and Electronic Engineering from NTU, he has led AI initiatives in predictive analytics, automation, and process optimization across the semiconductor and manufacturing industries. His expertise lies in translating complex AI technologies into practical business applications, enabling organizations to innovate through data insights and intelligent automation.

Teh Siew Yee is an experienced adult educator and corporate trainer specializing in business communication, workplace effectiveness, and professional development. With years of experience across both corporate and training environments, she has helped learners enhance their skills in problem-solving, collaboration, and interpersonal communication. Her ability to translate complex concepts into clear, practical strategies ensures that participants can immediately apply their learning in the workplace. As an ACLP-certified trainer, Siew Yee delivers WSQ courses with a strong focus on learner engagement and workplace application. She integrates case studies, role-plays, and reflective exercises into her sessions, ensuring participants develop not only knowledge but also confidence in real-world contexts. By combining her corporate experience with adult education expertise, she empowers learners to improve workplace efficiency, strengthen teamwork, and achieve personal and organizational success.

Truman Ng is a cloud and AI infrastructure specialist with more than two decades of experience in enterprise IT, cybersecurity, and automation. A PMP, ACTA, and Huawei HCIE-certified professional, he has trained international teams in DevOps, cloud computing, and AI deployment. Truman’s expertise lies in building scalable, secure, and data-driven systems that support organizational digital transformation and operational agility.
In “Digital Transformation in HR: Leveraging Generative AI for the Future of Work,” Truman introduces HR professionals to the integration of AI systems within enterprise infrastructures. His sessions emphasize deploying generative AI tools for employee support systems, HR analytics, and workflow automation while ensuring compliance and data protection. He equips learners with the technical understanding and strategic mindset to manage AI transformation projects that modernize HR operations effectively.

James Lee is a veteran IT and digital media educator with over 20 years of experience in creative technology, automation, and productivity enhancement. An Adobe Certified Expert and ACLP-certified instructor, he has developed and delivered professional programs in digital communication, design thinking, and AI literacy for corporate and academic audiences. James specializes in helping organizations adopt AI technologies to improve collaboration, efficiency, and employee engagement.
In “Digital Transformation in HR: Leveraging Generative AI for the Future of Work,” James focuses on human-centered AI applications that enhance the employee experience. His training explores how HR professionals can use AI-powered tools for onboarding, communication, and digital learning. By combining creativity with technology, he equips participants with practical skills to design adaptive, AI-enhanced HR processes that foster innovation and inclusivity in the workplace.