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WSQ - Multi AI Agents Workflow for Content Creation

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: Content Strategy
TSC Code: ICT-SNM-4004-1.1

Funding for this course is valid from 26 Jul 2023 to 25 Jul 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: Conceptualize content ideas to meet marketing objectives and map out digital storyboards as part of a content strategy.
LO2: Identify content requirements based on evaluation of customers and potential customer preferences and determine frequency of delivering marketing content.
LO3: Determine types and styles of content to be delivered to customers and decide on modes and processes for distributing content.
LO4: Develop guidelines for content strategy execution using appropriate modes of content delivery for marketing.

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 - Multi AI Agents Workflow for Content Creation

Course Code: TGS-2023036153

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES
Free AI Subscription

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This course equips participants with practical skills to design and manage multi-AI-agent workflows for end-to-end content creation. Learners will explore how specialised AI agents can collaborate as researchers, strategists, writers, designers, editors, reviewers, and publishing coordinators to produce high-quality content aligned with marketing objectives.

Participants will learn how to define content goals, analyse target audiences, conduct market and competitor research, generate content ideas, and develop digital storyboards. They will assign clear roles, tasks, reference materials, brand guidelines, and quality criteria to different AI agents, enabling content to move through a structured production workflow.

The course covers the creation of content for websites, blogs, email campaigns, advertisements, videos, and social media platforms. Learners will use multi-agent processes to adapt messaging, formats, styles, and calls to action for different customer segments and communication channels while maintaining a consistent brand identity.

Participants will also learn to coordinate agent handoffs, review outputs, manage feedback loops, detect errors, and improve content through iterative refinement. Emphasis is placed on human oversight, factual accuracy, copyright, data privacy, brand safety, and responsible AI use. By the end of the course, learners will be able to build scalable multi-AI-agent workflows that improve content quality, consistency, production speed, and marketing effectiveness.

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

Complete this course and, as a Singapore Citizen aged 18 or above, redeem a 6-month free subscription to a premium AI tool — ChatGPT Plus, Google AI Pro, Manus AI, Microsoft 365 Personal or Singtel AI Pass — so you can keep practising what you learn.

After the course, SWDA emails you a redemption form; choose your tool within 60 days. One subscription per person, and the course must end on or after 16 Sep 2026. How redemption works

Full Fee $800.00 Before GST

GST $72.00 9% of fee

Baseline Nett $472.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $312.00 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: Multi-AI-Agent Content Ideation and Digital Storyboarding

Topic 2: Audience Research and Content Requirement Analysis

Topic 3: Multi-Channel Content Creation and Agent Workflow Coordination

Topic 4: Content Distribution, Strategy Guidelines and Responsible AI Practices

Written Exam
Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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 18 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-2023036153.
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.

How to Claim the Free AI Tools Subscription

Singapore Citizens aged 18 and above who complete this course can redeem a free 6-month subscription to ChatGPT Plus, Google AI Pro, Manus AI, Microsoft 365 Personal or Singtel AI Pass (six AI tools). The course must end on or after 16 September 2026, and each person can redeem one subscription only, however many eligible courses they take.

Optionally, take the AI Ready Quiz on MySkillsFuture to check your AI readiness level.
Enrol in this course, which carries the Free AI subscription label on MySkillsFuture.
Attend and successfully complete all course requirements.
Watch for the redemption email from SWDA with the subscription request form (check your spam folder).
Choose your AI tool and submit the form within 60 days of receiving the email. You cannot change your choice afterwards.
Follow the activation instructions in the confirmation email.

Full details: MySkillsFuture and our claim guide.

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

Content Strategist
Copywriter
Digital Marketing Specialist
Content Manager
SEO Specialist
UX Writer
Technical Writer
Creative Director
Digital Content Producer
Machine Learning Engineer (with a content focus)
AI Agent Workflow Developer
Brand Communications Manager
Blogging Strategist
Social Media Manager
AI Content Automation Specialist

Trainers

As Chief Instructional Designer as well as CTO, Dr. Alfred Ang produces a large volume of content himself, and he increasingly does it with teams of AI agents. He is a full-stack AI developer, Agentic AI solution architect, courseware developer and corporate trainer, and leads Tertiary Infotech Academy Pte Ltd as Managing Director and CIO, having founded Tertiary Courses. His public GitHub portfolio documents several multi-step content pipelines. His Hermes video pipeline automates YouTube video production for Tertiary Courses: topic requests submitted through a web form trigger an agent that researches, scripts, renders, verifies and publishes the video. His videocreation project turns any topic into a narrated video with AI-generated scripts, voiceover and animated scenes, and his WSQ courseware generator, built with the Claude Agent SDK and Streamlit, automates the creation of learner guides, lesson plans and other training documents. He has also built ai-pei, an AI-powered CMS with an auto-blog scheduler and a self-improving chatbot. He designs these systems with frameworks such as n8n, CrewAI, Microsoft AutoGen, Langflow, Flowise and the Claude Agent SDK. His qualifications include a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU, a B.Sc (Hons) in Physics from NUS and a Certificate in AI Ethics and Governance (Senior Professional) from NTU, and he is an ACTA-certified trainer and DACE-certified curriculum developer with more than 20 peer-reviewed papers to his name. As an IBM certified instructor for the AI Practitioners course, he is used to explaining AI capabilities and limitations to non-technical audiences in plain language.

In WSQ - Multi AI Agents Workflow for Content Creation, Dr. Ang teaches learners to design a content operation in which each AI agent has a defined job. The course begins with multi-agent ideation and digital storyboarding, where learners generate concepts and map them into a visual storyboard. Next comes audience research and content requirement analysis: researcher agents examine target audiences, markets and competitors, and strategist agents turn the findings into clear requirements. The third topic covers multi-channel content creation and workflow coordination, as writer, designer, editor and reviewer agents work through structured hand-offs with shared brand guidelines and quality criteria. The final topic addresses distribution, strategy guidelines and responsible AI practice, including checking facts and keeping human approval before publication. His own pipelines, which research, script, verify and publish content automatically, give him concrete examples of what to automate, where agents typically go wrong and how verification steps catch errors early. He also explains how to judge whether the workflow is actually producing better content, not just more of it. Lessons combine short concept briefings with extended build sessions, and learners design workflows around their own organisation's content needs, with each activity linked to the WSQ assessment criteria. Participants leave with a documented multi-agent workflow they can adapt and scale at work. He also covers how to document roles, prompts and hand-off rules so that a workflow can be maintained and improved by a whole team. To explore the content automation pipelines he has built, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Tan Woei Ming is a data scientist and AI engineer with more than 15 years of experience in machine learning, deep learning and intelligent automation. He has led multiple AI-driven process optimisation and predictive analytics projects in the semiconductor industry, and his work integrates data science, neural networks and computer vision into scalable, intelligent solutions for enterprise applications. He holds a Master's in Intelligent Systems from the National University of Singapore and a First-Class Honours in Electrical and Electronic Engineering from Nanyang Technological University, and focuses on translating complex AI technologies into practical business applications.

WSQ - Multi AI Agents Workflow for Content Creation applies this automation mindset to content production. Woei Ming teaches learners to design agent roles, tasks and handoffs across a structured workflow, starting with multi-agent content ideation and digital storyboarding and moving through audience research and content requirement analysis to multi-channel content creation and agent coordination. The course closes with content distribution, strategy guidelines and responsible AI practices. His sessions emphasise assigning reference materials and quality criteria to each agent and reviewing their outputs, so participants build multi-agent workflows that produce consistent, on-brief content more productively.

Combining strategic marketing insight with practical knowledge of AI, Allen Wong is a digital marketing strategist and ACLP-certified trainer with a strong record in analytics-driven campaigns that have generated over $5 million in revenue. As CEO and Founder of Medistation Pte. Ltd., he has designed and executed digital marketing and e-commerce strategies across multiple industries. His expertise covers SEO, customer engagement and generative AI applications, with a consistent focus on using technology to boost visibility and deliver measurable outcomes.

In this WSQ course, Multi AI Agents Workflow for Content Creation, Allen draws on his experience in AI-powered marketing and automation to teach learners how to coordinate teams of AI agents across the content production pipeline. Participants move from multi-agent ideation and digital storyboarding to audience research and content requirement analysis, then coordinate agents through multi-channel content creation before addressing distribution, strategy guidelines and responsible AI practices. His sessions are hands-on and tied to real business tasks such as campaign design and customer engagement. Learners leave able to define roles for each agent, manage the hand-offs between them and run content workflows that scale creativity and business impact.

Teddy Yip is a leadership and communication coach with more than 20 years of experience in professional training, business development and technology integration. He has facilitated workshops across corporate and public sectors focusing on digital transformation, communication strategies and AI literacy for modern workplaces. With a strong background in client engagement and process innovation, he blends human-centred thinking with digital tools to drive learning and performance outcomes.

In WSQ - Multi AI Agents Workflow for Content Creation, Teddy helps professionals apply multi-agent content workflows for creativity, communication and business innovation. Learners move from multi-AI-agent content ideation and digital storyboarding to audience research and content requirement analysis, then to multi-channel content creation and agent workflow coordination, and finally to content distribution, strategy guidelines and responsible AI practices. His sessions explore real-world applications of AI content generation, from crafting marketing narratives to automating review and publishing workflows, with attention to human oversight and brand safety. By combining his expertise in training and AI adoption, he empowers learners to produce engaging, high-quality and purpose-driven content with specialised agents working together.

James Lee is an Adobe Certified Expert and Instructor and an ACLP-certified trainer whose career spans digital media, content creation and IT training. He has taught extensively across corporate, polytechnic and university settings, specialising in Adobe Creative Suite, digital marketing and web development. He served as Chief Instructor at ACE Training, developing and delivering customised Adobe training, and has worked with Nanyang Technological University on digital media projects. Currently a Social Media and Content Specialist at Equinet Academy, he applies real-world experience in digital marketing, content strategy and analytics to his teaching, blending creativity with structured instructional design.

In WSQ - Multi AI Agents Workflow for Content Creation, james guides learners in orchestrating multi-AI-agent content workflows, showing how researcher, writer, designer and editor agents can hand work to each other to produce higher-quality output for content creation, branding and marketing campaigns. The course moves from multi-agent content ideation and digital storyboarding to audience research and content requirement analysis, then to multi-channel content creation and agent workflow coordination. The final topic covers content distribution, strategy guidelines and responsible AI practices. His content and analytics background keeps the focus on what makes content work for an audience, so participants leave able to design and manage an end-to-end multi-agent content workflow with clear human review.