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WSQ - Agentic AI for Digital Marketing

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: Digital Marketing-5
TSC Code: WST-SNM-5042-1.1

Funding for this course is valid from 17 Jul 2025 to 16 Jul 2027. Register and complete the course within this period to qualify for funding support.

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

LO1: Using Gen AI Deep Research to formulate digital marketing strategy and ROI
LO2: Evaluate digital marketing ROI and synthesize strategy models to align with overarching marketing objectives.
LO3: Lead the creation of an integrated online presence across emerging multiple digital channels

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 - Agentic AI for Digital Marketing

Course Code: TGS-2025056988

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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This course equips learners with practical skills to use generative ai and agentic AI to plan, create, manage, and optimise digital marketing activities across multiple channels. Participants will learn how to use agentic ai and generative ai as an intelligent marketing workspace for conducting market research, understanding target audiences, developing campaign strategies, coordinating tasks, and producing consistent, brand-aligned marketing content.

Learners will explore how tools can connect Claude Cowork with relevant business applications, documents, data sources, content repositories, and marketing platforms. These integrations enable Claude Cowork to retrieve information, work across systems, and support end-to-end digital marketing workflows with appropriate human oversight.

The course also guides participants in creating custom Claude Skills from real-world marketing processes. Learners will transform repeatable tasks, brand guidelines, templates, and quality standards into reusable skills for campaign planning, content creation, review, reporting, and optimisation. They will apply these skills to produce channel-specific content for websites, blogs, search engines, email campaigns, social media, online advertisements, and other digital touchpoints.

Participants will also use Claude Cowork to analyse campaign results, compare performance against marketing objectives and KPIs, identify trends, evaluate return on investment, and generate actionable recommendations. By the end of the course, learners will be able to build integrated, AI-assisted digital marketing workflows that improve productivity, content consistency, audience engagement, and data-driven decision-making.

This course is suitable for beginner and intermediate learners who have a basic understanding of digital marketing and want to apply agentic ai and generative ai skills in practical marketing environments.

Full Fee $1,000.00 Before GST

GST $90.00 9% of fee

Baseline Nett $590.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $390.00 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: Digital Marketing Research and Campaign Planning with Agentic AI

Topic 2: Creating Multi-Channel Marketing Content with Generative AI

Topic 3: Integrating Tools and Analysing Digital Marketing Performance

Written Exam
Practical Exam

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-2025056988.
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

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

Trainers

Dr. Alfred Ang combines a long history of digital business with current, hands-on work in agentic AI, a pairing that suits WSQ Agentic AI for Digital Marketing. In 2007 he founded OSWeb2Design Singapore Pte Ltd, offering web development, e-commerce store development, graphics design, ebook publishing, mobile app development and digital marketing services, and he later built Tertiary Courses into a training platform. Today he is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and the Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. His public GitHub portfolio includes many marketing-focused builds: AI-powered content management systems with SEO and lead generation in every page, a weekly auto-blog scheduler and a self-improving lead-generation chatbot, built on the Claude Agent SDK; a social media publishing platform that posts video, photos and text to 22 platforms with scheduling, queues, pipelines and analytics; a set of Claude Code skills that includes LinkedIn post generation; a mobile-first AI consultancy lead-magnet website; an SEO-focused marketing consultancy landing page with WhatsApp lead capture; and a demand generation consultancy site built around an audit-style lead magnet. He works with agent frameworks including n8n, the OpenAI Agents SDK, the Google Gemini Agent SDK, Microsoft AutoGen and CrewAI. His credentials include Microsoft Certified AI Engineer Associate (AI-102) and Power BI Data Analyst (PL-300), AWS Certified AI Practitioner, a Certificate in AI Ethics and Governance (Senior Professional) from NTU and a PhD in Electrical Engineering from NUS.

In this course he shows learners how to use generative and agentic AI as an intelligent marketing assistant across the whole campaign cycle. The first topic covers digital marketing research and campaign planning, where participants use agents to research audiences, competitors and keywords, synthesise findings and draft campaign plans with objectives, channels, messaging and timelines. He then moves to creating multi-channel content with generative AI, producing and adapting copy, images and short-form ideas for websites, email, social media and search, while keeping a consistent brand voice and checking every claim for accuracy. The third topic focuses on integrating tools and analysing performance, where learners connect AI with the platforms they already use, automate routine publishing and reporting steps, and interpret campaign data to decide what to change next, from adjusting budgets and timing to rewriting underperforming messages, drawing on his PL-300 analytics background and the scheduling and analytics features of his own publishing platform. He also discusses where human approval should sit before anything is published, how to protect customer data and how to disclose AI use responsibly, informed by his AI governance training. As an ACTA-certified trainer and DACE-certified curriculum developer, he runs the course as a series of practical exercises built around a realistic campaign, so marketers leave with workflows, prompts and a measurement approach they can apply immediately to their own channels. To explore the projects behind his teaching, visit his GitHub portfolio at https://github.com/alfredang or connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

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, using data analytics, automation and strategic partnerships. His expertise spans SEO and SEM, CRM and marketing automation, with a focus on turning complex data into actionable insights that strengthen customer engagement and return on ad spend. Experience across e-commerce, event management and digital consultancy has sharpened his ability to fold AI tools into practical strategy.

In this WSQ course, Agentic AI for Digital Marketing, Allen equips learners to use generative and agentic AI as an intelligent marketing workspace. Participants carry out digital marketing research and campaign planning with agentic AI, create multi-channel marketing content with generative AI, and integrate tools to analyse digital marketing performance. Drawing on his own work with AI agents and deep research methodologies, he shows how to research audiences, develop campaign strategies and coordinate tasks efficiently. Allen's forward-thinking approach ensures participants can craft impactful, cost-effective marketing strategies and adapt confidently as the digital landscape continues to evolve.

James Lee is a digital marketing specialist and Adobe Certified Instructor whose career spans training, digital content and marketing strategy. He has trained extensively at institutions such as ACE Training and Singapore Polytechnic, developing customised learning guides and conducting corporate workshops. As a Social Media and Content Specialist at Equinet Academy, he has planned and executed campaigns across Google Ads, Facebook Ads and SEO, supported by analytics and research. Combining his Certified Digital Marketing Strategist credentials with hands-on expertise in web development and content creation, he brings a holistic perspective to AI-enabled marketing.

In WSQ - Agentic AI for Digital Marketing, James guides learners in using AI agents, analytics tools and in-depth market research to improve campaign performance and audience engagement. Participants begin with digital marketing research and campaign planning using agentic AI, then create multi-channel marketing content with generative AI. The final topic covers integrating tools and analysing digital marketing performance, so learners can see what is working and adjust. His campaign experience grounds each exercise in real marketing decisions. Participants leave with both the technical proficiency and the strategic mindset to use generative and agentic AI as an intelligent marketing workspace.

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. He is recognised 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. His strong foundation in digital literacy and adaptive training methods makes him a valuable guide for professionals formulating AI-driven marketing strategies that keep pace with evolving industry demands.

In Agentic AI for Digital Marketing, he helps learners use generative and agentic AI as an intelligent marketing workspace. Participants begin with digital marketing research and campaign planning, using agentic AI to study markets, understand target audiences and develop campaign strategies. They then create consistent, brand-aligned content for multiple channels with generative AI, and finish by integrating tools and analysing digital marketing performance. As a facilitator, he emphasises practical application and learner engagement, ensuring participants understand the thinking behind each strategy and gain the confidence to apply AI agents and research tools in real-world contexts, so they leave able to plan, manage and optimise multi-channel campaigns.

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 and driving measurable improvements in online engagement for her consultancy clients. She guides learners in applying AI and digital research to formulate actionable strategies, drawing on deep experience in WordPress, WooCommerce, Shopify and SEO/SEM.

In Agentic AI for Digital Marketing, she shows learners how to use generative and agentic AI as an intelligent marketing workspace across multiple channels. Participants begin with digital marketing research and campaign planning, using agentic AI to study markets, understand target audiences and shape campaign strategy. They then create consistent, brand-aligned content for several channels with generative AI, and finish by integrating tools and analysing marketing performance. Blending real-world commercial expertise with a practical teaching style, she helps participants build scalable, research-driven digital frameworks, so they leave able to deploy AI-enabled strategies that drive growth and market expansion with confidence.