WSQ - Formulate Digital Marketing Strategy with AI Agent and Deep Research

LU1: KPI and Goals for Digital Marketing Strategy

• T1: Framework for designing an integrated digital marketing strategy
• T2: Using Gen AI Deep Research feature to draw insights from marketing analytics
• T3: Using Gen AI prompt engineering techniques in the formulating Key Performance Indicators (KPIs) for digital marketing channels
• T4: Define goals and objectives of digital marketing strategy

LU2: Digital Marketing Strategy Formulation

• T1: Using GenAI to formulate Integrated Digital Marketing (IDM) strategy and models
• T2: Methods for analysis of digital marketing Return of Investment (ROI)
• T3: Evaluate ROI for online customer acquisition tools and digital marketing channels
• T4: Using Gen AI to formulate Integrate digital marketing strategy

LU3: Digital Marketing Across Multiple Marketing Channels

• T1: Developments in emerging marketing channels
• T2: Lead development of a seamless online presence over web, social, and mobile.

Final Assessment 

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

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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can sign up free accounts on the following platforms:

• ChatGPT
• Claude AI
• Microsoft Copilot
• Google Gemini
• Microsoft Designer
• Adobe Firefly

Hardware: Windows and Mac Laptops

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

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. 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.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• Digital Marketing Strategist
• Marketing Manager
• AI Marketing Specialist
• Performance Marketing Analyst
• Digital Campaign Manager
• SEO/SEM Specialist
• Social Media Marketing Lead
• E-commerce Manager
• Content Strategy Manager
• Brand Marketing Consultant
• Digital Project Manager
• Marketing Data Analyst
• Online Advertising Specialist
• Business Development Manager
• Product Marketing Manager
• CRM Marketing Specialist
• Web Analytics Consultant
• Growth Marketing Specialist
• UX Marketing Lead
• Integrated Marketing Communications Manager

Allen Wong - Allen Wong is an accomplished Digital Marketing Strategist and entrepreneur with a strong record of generating measurable results through AI-driven campaigns. As CEO and Founder of Medistation Pte. Ltd., he has spearheaded initiatives that delivered over $5M in revenue, leveraging data analytics, automation, and strategic partnerships. His expertise spans across SEO/SEM, CRM, and marketing automation, with a focus on transforming complex data into actionable insights that enhance customer engagement and boost ROAS.

Allen’s extensive experience across e-commerce, event management, and digital consultancy has honed his ability to integrate AI tools and emerging technologies into practical strategies. As a trainer, he equips learners with the skills to harness AI agents and deep research methodologies to craft impactful, cost-effective marketing strategies. His forward-thinking approach ensures participants are ready to adapt to the rapidly evolving digital landscape.

Janice Ong - Janice Ong is a results-driven business leader and WSQ-certified trainer with over 20 years of experience in sales, marketing, and business development. As a facilitator and consultant, she has trained C-level executives, entrepreneurs, and professionals in digital marketing, e-commerce, SEO, and website development. Her track record includes managing global marketing for Creative Technology Ltd., where she achieved $9.3M in quarterly sales, and driving measurable improvements in online engagement for her consultancy clients.

Janice blends real-world commercial expertise with training excellence, guiding learners to apply AI and digital research in formulating actionable strategies. With deep experience in WordPress, WooCommerce, Shopify, and SEO/SEM, she empowers participants to build scalable, research-driven digital frameworks. Her teaching style emphasizes practical application, ensuring learners can confidently deploy AI-enabled strategies that drive growth and market expansion.

James Lee - James Lee is an experienced digital marketing specialist and Adobe Certified Instructor with a career spanning over two decades in training, digital content, and marketing strategy. He has trained extensively at institutions such as ACE Training and Singapore Polytechnic, where he developed customized learning guides and conducted corporate workshops. As a Social Media and Content Specialist at Equinet Academy, James has successfully planned and executed campaigns across Google Ads, Facebook Ads, and SEO, supported by advanced analytics and research.

Combining his Certified Digital Marketing Strategist credentials with hands-on expertise in web development and content creation, James brings a holistic perspective to AI-enabled marketing. He guides learners in leveraging AI agents, analytics tools, and deep market research to optimize campaign performance and audience engagement. With his engaging teaching style and industry credibility, he ensures participants gain both the technical proficiency and strategic mindset needed to succeed in today’s competitive digital marketplace.

Raymond Teoh - Raymond Teoh is a veteran digital marketing professional with over 23 years of leadership experience across Singapore, Malaysia, and Greater China. He has held senior roles at SPH, Innity, iClick Interactive, and PropertyGuru, driving business growth through innovative SEO, SEM, and content marketing strategies. At iClick, he led the company to transform from losses to profitability and contributed to its successful NASDAQ listing. Currently serving as Director of eDragon Group, he specializes in China-focused digital platforms, including Baidu, WeChat, Douyin, and Ctrip.

As a WSQ-certified ACLP trainer, Raymond combines global digital marketing expertise with AI-enhanced research methodologies to deliver high-impact training. His strengths in sales management, business coaching, and digital strategy formulation enable learners to build robust, AI-powered marketing frameworks that drive measurable results. His experience mentoring SMEs and executives ensures that participants leave his sessions with actionable skills to compete in both local and international markets.

Patrick Foo - Patrick Foo is a seasoned trainer with deep expertise in digital skills training and adult learning facilitation. With a background in WSQ training delivery across digital marketing and IT-related disciplines, he has consistently guided learners to develop industry-relevant competencies. Patrick is recognized for his ability to simplify complex concepts, making advanced topics such as AI-powered marketing research and analytics accessible to learners from diverse professional backgrounds.

As a facilitator, Patrick emphasizes practical application and learner engagement, ensuring participants not only understand the theories behind digital marketing strategies but also develop the confidence to apply AI agents and research tools in real-world contexts. His strong foundation in digital literacy and adaptive training methods positions him as a valuable guide for learners looking to formulate effective, AI-driven marketing strategies that align with evolving industry demands.