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WSQ - Generative AI for Problem Solving

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.

TSC Title: Problem Identification
TSC Code: RET-ACE-4006-1.1

Funding for this course is valid from 18 Aug 2023 to 17 Aug 2027. Register and complete the course within this period to qualify for funding support.

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

LO1: Identify performance deficiencies and root causes impacting organizational aspects
LO2: Deduce key implications, develop corrective plans, and shortlist viable solutions
LO3: Determine preferred solutions and evaluate the effectiveness of implemented plans

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
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 - Generative AI for Problem Solving

Course Code: TGS-2023036653

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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This course equips participants with practical skills to use Generative AI for structured problem-solving and informed decision-making in the workplace. Learners will identify performance gaps, define problems clearly, gather relevant information, and investigate the root causes of operational and organisational challenges.

Participants will apply Generative AI to analyse complex information, uncover patterns, examine issues from multiple perspectives, and generate potential solutions. They will use established analytical methods, root-cause analysis tools, creative thinking techniques, and collaborative approaches to develop well-supported responses to real-world problems.

The course also covers how to evaluate and prioritise proposed solutions using defined criteria such as feasibility, cost, risk, impact, resources, and alignment with organisational objectives. Learners will develop corrective action plans that specify responsibilities, timelines, expected outcomes, and performance measures.

Through practical activities, participants will use Generative AI to support implementation planning, monitor results, evaluate solution effectiveness, and recommend further improvements. Emphasis is placed on verifying AI-generated information, protecting confidential data, recognising potential bias, and maintaining human oversight.

By the end of the course, participants will be able to integrate Generative AI into a systematic problem-solving process—from problem identification and root-cause analysis to solution development, implementation, and continuous improvement.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more generative AI training.

Full Fee $750.00 Before GST

GST $67.50 9% of fee

Baseline Nett $442.50 SG/PR age 21+ · 50% funded

MCES / SME Nett $292.50 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

PSEA

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

Check PSEA Eligibility

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, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

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: Identifying Performance Gaps and Root Causes with Generative AI

Topic 2: Developing Corrective Plans and Evaluating Potential Solutions

Topic 3: Selecting, Implementing and Measuring the Effectiveness of Solutions

Written Exam
Case Study

Course Info

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.

Target age group: 21 - 65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

Singapore Citizens and Singapore Permanent Residents aged 21 and above.
Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
Employers can also claim Absentee Payroll funding for employees who attend during working hours.
Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

Attendance is taken digitally with Singpass for every session, including the assessment.
You must complete the course and pass all assessments (assessed as Competent).
If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
9% GST is charged on the full course fee before funding.
Promo and discount codes cannot be used on funded courses.
Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA).

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
We email you an invoice showing the course fee after funding.
From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
Click Submit a Claim and search for this course by its course code, TGS-2023036653.
Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.

Check your company's SFEC eligibility and balance on EnterpriseSG.
Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
Discuss the decision with the assessor or the assessment manager first.
If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Operations Manager
Project Manager
Human Resources Specialist
Team Leader
Business Analyst
Quality Assurance Manager
Organizational Development Specialist
Change Management Consultant
Process Improvement Specialist
Department Head/Supervisor
Customer Service Manager
Training and Development Manager
Risk Management Specialist
Strategy Consultant
Workplace Mediator.

Trainers

Patrick Oh is a Singapore Certified Management Consultant, listed by TUV SUD as a certified consultant, whose work is fundamentally about diagnosing why organisations fall short of their goals and designing ways to close the gap. Through SG Venture Consulting he provides performance management and solutions design consulting, together with governance, risk and compliance and corporate compliance services. He is a Certified Information Privacy Manager (CIPM) under the IAPP, and a training-provider trainer profile records more than 13 years of Singapore PDPA consultancy. As an implementer and auditor of ISO management systems, from quality and environmental management to ISO 14064 greenhouse gas accounting, he applies structured approaches to finding problems, understanding their causes and verifying improvements. Before consulting he spent years as an automation design engineer, an early grounding in systematic troubleshooting. He is also involved in sustainability reporting and community development, and he writes on management topics.

In this WSQ course, Patrick shows learners how generative AI can strengthen, rather than replace, a sound problem-solving process. He does not claim to have built the AI tools involved; his focus is on applying them with discipline. The first topic covers identifying performance gaps and investigating root causes, where he draws on his audit and performance management experience to help learners frame problems precisely and use AI to gather and analyse relevant information. In the second topic on developing corrective plans and evaluating solutions, he brings the perspective of a solutions designer who must weigh options against cost, risk and stakeholder impact before recommending a course of action. The third topic, selecting, implementing and measuring solutions, reflects his insistence that every change needs agreed measures of effectiveness. Because problem-solving often involves sensitive business and personal information, he also guides learners on responsible AI use under the PDPA. Participants leave able to make better-informed decisions and to justify them clearly to colleagues and management.

Problem solving has been the common thread of Dr. Alfred Ang's career, from physics research to running a technology company. He earned a B.Sc (Hons) in Physics from NUS, where he topped his cohort, followed by an MSc in Electrical and Electronic Engineering from NTU and a PhD in Electrical Engineering from NUS, and his work in the defence, electronics and semiconductor industries led to more than 20 peer-reviewed papers and more than 20 US patents as co-inventor. Today he is a full-stack AI developer and Agentic AI solution architect who helps enterprises apply LLMs, RAG pipelines and multi-agent systems to analytics and decision support, and he is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founder of Tertiary Courses. His structured-methods credentials include PMP, CSM and ITIL certification and the Certificate in AI Ethics and Governance (Senior Professional) from NTU. The more than 300 public repositories on his GitHub include sipoc, a guided SIPOC and process map builder for Lean Six Sigma Yellow Belt that enforces disciplined process steps, tags pain points and generates swimlanes and handoff tables; AICoaching, a six-scenario coaching simulator for redesigning jobs around accountable AI-agent ownership; and IT PMO Kanban boards with filters and overdue tracking that he uses for training. These projects show how he likes to make analysis visible and structured before reaching for a solution.

In WSQ - Generative AI for Problem Solving, Dr. Ang teaches learners to use generative AI as a disciplined analytical partner rather than a shortcut to an answer. The first topic covers identifying performance gaps and root causes with generative AI: defining the problem precisely, gathering relevant information, and using AI to organise evidence, surface patterns and examine an issue from several perspectives before applying established root-cause analysis tools. The second topic moves to developing corrective plans and evaluating potential solutions, where learners combine creative thinking techniques with AI-generated options and then test each option against criteria such as cost, risk, feasibility and impact. The third topic covers selecting, implementing and measuring the effectiveness of solutions, including action plans, ownership and the indicators that show whether a fix has really worked. His research and engineering background makes him insistent on evidence: he shows learners how to challenge AI output, ask for the reasoning behind a suggestion and spot when a confident answer rests on weak assumptions. He also encourages collaborative problem solving, using AI to capture and structure a team's ideas rather than replace the discussion. As an ACTA-certified trainer and DACE-certified curriculum developer, he builds the course around realistic workplace cases, so participants leave with a repeatable, AI-assisted method for tackling operational and organisational problems with confidence. Learners also practise writing prompts that ask AI to argue against its own recommendation, a habit that exposes weak solutions early. To see the analytical and AI tools he builds, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Tan Teck Hwa is an IT and business trainer who brings extensive experience in business management, customer relations and service leadership, including guiding teams through change management, process improvements and customer-focused strategies that enhance business outcomes. He specialises in emerging technologies, enterprise solutions and innovation strategies, and has trained professionals in cloud computing, data management and AI adoption. His expertise lies in helping organisations harness digital tools to address complex business challenges through structured methodologies.

In this WSQ course, Teck Hwa guides learners to apply generative AI to structured problem-solving and informed decision-making at work. Participants use AI to identify performance gaps and root causes, develop corrective plans and evaluate potential solutions, then select, implement and measure the effectiveness of the chosen solution. His teaching emphasises practical application through real-world use cases, so learners understand how to use generative AI to gather information, generate options and test ideas without losing sight of the underlying problem. By combining his management experience with a problem-solving mindset, he equips participants to drive improvement and organisational change with confidence and sound judgement.

Terence Ee is a seasoned CIO and technology leader with more than 25 years of experience in IT management, enterprise systems and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led large-scale innovation and efficiency initiatives. Since 2017 he has worked as an independent consultant and ACLP-certified trainer specialising in IT strategy and digital adoption, and as a WSQ-accredited trainer he also delivers programmes in IT governance and productivity tools.

Drawing on his leadership experience, Terence demonstrates how generative AI can enhance decision-making, improve collaboration and streamline business processes. In this course, learners use generative AI to identify performance gaps and their root causes, develop corrective plans and evaluate potential solutions, then select, implement and measure the effectiveness of the chosen solution. His pragmatic, industry-focused approach, supported by case studies, simulations and hands-on practice, ensures participants not only grasp the AI concepts but also integrate them into their organisation's improvement efforts. Learners leave with a structured, repeatable method for applying generative AI to real workplace problems while keeping sound management judgement at the centre.

Ken Hiong is a finance and business professional with over 20 years of experience in the healthcare and pharmaceutical industry, where he held functional and managerial roles in sales, marketing, business development, finance, business analysis and planning. His career includes roles at Pfizer, Pharmacia and SciGen, working on business planning, data modelling and IT systems integration, and he is known for streamlining work processes and improving data analysis and business reporting. He graduated with a Pharmacy degree and holds a Master of Business Administration from the National University of Singapore and a Master of Applied Finance from the University of Adelaide, along with an MS Office Master qualification.

In WSQ - Generative AI for Problem Solving, Ken bridges business applications with technical knowledge so participants can apply generative AI to real organisational problems. Learners first use generative AI to identify performance gaps, define problems clearly and investigate root causes. They then develop corrective plans and evaluate potential solutions, using AI to analyse complex information and compare options, before selecting, implementing and measuring the effectiveness of a solution. Ken's background in business planning and data-driven decision-making keeps the emphasis on evidence and sound judgement rather than on AI output alone, so participants leave with the confidence to apply generative AI to structured workplace problem-solving.