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WSQ - Digital Transformation in HR: Leveraging Generative AI for the Future of Work

WSQ - Digital Transformation in HR: Leveraging Generative AI for the Future of Work

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.

Learning Outcomes

By end of the course, learners should 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.

Course Brochure

Download WSQ - Digital Transformation in HR: Leveraging Generative AI for the Future of Work Brochure

Skills Framework

This course follows the guideline of Human Resource Digitalisation HRS-HRM-4031-1.1 TSC under Human Resource Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
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 Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$900	$81.00	$531.00	$351.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

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.

Course Code: TGS-2024045795

Post-Course Support

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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Case Study (CS)

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 SkillsFuture Singapore's (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 SkillsFuture Singapore's (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), SSG 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: Sivanesan Sivakaruniam is an experienced project manager and HR transformation consultant with over 25 years of leadership in engineering, workforce development, and organizational performance improvement. A certified PMP and WSQ-accredited ACLP trainer, he has managed large-scale transformation projects and advised companies on change management, competency mapping, and digital capability building. His experience spans public and private sectors, making him adept at aligning technology-driven initiatives with strategic HR outcomes.

In “Digital Transformation in HR: Leveraging Generative AI for the Future of Work,” Sivanesan helps participants understand how AI and automation reshape HR operations, talent management, and learning strategies. His sessions focus on integrating agile project principles into HR digitalization, enabling organizations to adopt AI tools responsibly and effectively. Through real-world examples, he empowers HR professionals to lead transformation projects that enhance productivity, engagement, and workforce adaptability.

Tan Woei Ming: Tan Woei Ming is a data scientist and AI engineer with over 15 years of experience in machine learning, automation, and enterprise analytics. Holding a Master’s in Intelligent Systems from the National University of Singapore and a First-Class Honours degree in Electrical and Electronic Engineering from Nanyang Technological University, he has spearheaded data-driven projects in AI optimization and process automation. His technical expertise extends to deploying TensorFlow, PyTorch, and Spark-based systems to drive intelligent decision-making and operational efficiency.

In “Digital Transformation in HR: Leveraging Generative AI for the Future of Work,” Woei Ming guides learners on applying AI models and analytics to HR workflows such as performance evaluation, recruitment optimization, and employee engagement. His sessions emphasize the use of generative AI for process redesign, predictive insights, and workforce analytics. By translating technical concepts into business value, he helps HR professionals leverage AI to build smarter, data-informed talent ecosystems.

Teh Siew Yee: Teh Siew Yee is a senior analytics leader and transformation consultant with over 25 years of experience across global organizations, including TikTok, Hewlett-Packard, and Standard Chartered Bank. He has led initiatives in AI governance, business intelligence, and data management, helping enterprises enhance efficiency and strategic decision-making. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University, along with ACLP certification, and is well-known for his ability to translate complex AI concepts into actionable strategies.

In “Digital Transformation in HR: Leveraging Generative AI for the Future of Work,” Siew Yee helps participants explore how data and AI can transform traditional HR functions. His lessons focus on AI ethics, governance, and the integration of generative AI in employee lifecycle management. He empowers HR leaders to utilize AI tools for smarter workforce planning, personalized learning, and automation—bridging analytics with strategic human capital development.

Truman Ng: 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 Kin Nam: 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.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a data science and analytics leader with extensive experience in machine learning, process optimization, and business intelligence. As Head of Data Science at Plano Pte Ltd, he leads multidisciplinary teams in developing predictive analytics and automation strategies that support digital transformation. Dwight also lectures in data analytics and AI applications at the London School of Business and Finance, bridging academic knowledge with practical industry implementation.

In “Digital Transformation in HR: Leveraging Generative AI for the Future of Work,” Dwight teaches how HR departments can harness AI to enhance decision-making, talent analytics, and organizational efficiency. His sessions cover the integration of generative AI into HR dashboards, recruitment analytics, and workforce forecasting. Through hands-on case studies, he demonstrates how data-driven AI approaches can transform human resource management into a strategic, insight-led function.

Customer Reviews (15)

Average Rating: 3.0 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

The trainer struggled with the admin at the beginning of the class and spoke quite fast. I found it hard to catch where he is at as he also kept skipping from one screen to the other. (Posted on 4/2/2026)

Average Rating: 3.0 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Recommended Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 11/26/2025)

NA Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 11/26/2025)

recommended Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

The class is helpful, practical (Posted on 11/26/2025)

Recommended Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 11/26/2025)

NA Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 11/26/2025)

Recommended Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 11/26/2025)