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Course Details
Course Details
What You'll Learn
Topic 1: Creative Strategy and End-to-End Video Production with Agentic AI
Topic 2: AI-Assisted Video Editing, Storytelling and Quality Assurance
Topic 3: Workflow Optimisation, Industry Compliance and Emerging Video Technologies
Assessment
- 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.
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)
- CapCut – free
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), or partly reimbursed by UTAP for NTUC members.
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-2023036088.
- 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 UTAP (NTUC Members)
NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.
Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.
- Make sure your NTUC membership is paid up before the course starts.
- Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
- Attend at least 75% of the course and sit all assessments.
- Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
- Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
- NTUC usually pays the claim within 4 weeks of submission.
Read more in our UTAP 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
Job Roles
- Video Editor
- Post-production Specialist
- Creative Director
- Multimedia Producer
- Digital Content Creator
- Visual Storyteller
- Motion Graphics Designer
- Media Production Manager
- Film Editor
- YouTube Channel Manager
- Marketing Video Producer
- Social Media Video Strategist
- Advertising Content Specialist
- Broadcast Technician
- Visual Effects (VFX) Assistant
- Creative Technologist
- Production Coordinator
- Corporate Video Editor
- Online Content Strategist
- Interactive Media Specialist
Trainers
Trainers
Tay Hoo Wee is a filmmaker, creative director and media educator with wide experience across the full video production lifecycle, from concept and storyboard to the edit suite. He is the Founder and Director of Asia Media Academy, where he leads digital media training and course development for the next generation of content creators. His production work includes Kallang Roar the Movie (2008) and Ghost on Air (2012), and he has contributed to international projects such as Crazy Rich Asians (2017) and HBO's Halfworlds, collaborating with Sir Ridley Scott Productions, HBO, Netflix and Mediacorp. His expertise covers digital storytelling, production management, cinematography, post-production, visual design and multimedia, with hands-on command of Adobe Creative Cloud tools including Photoshop, Illustrator and Firefly. A consistent thread in his work is merging traditional storytelling with generative AI and emerging creative technology. Having worked on productions with demanding international partners, he understands the planning, coordination and review that turn a creative idea into a finished, publishable piece.
In WSQ - Agentic AI for Video Creation, Hoo Wee helps media professionals, marketers and digital storytellers design AI-powered workflows that mirror how a real production is run. In the first topic on creative strategy and end-to-end production, learners map idea generation, scriptwriting, storyboarding, voiceover, image and video asset generation, editing and distribution onto a team of collaborating AI agents. Here his production management experience matters: he shows participants how to brief each agent, sequence the work and keep the creative vision coherent. The second topic, AI-assisted editing, storytelling and quality assurance, draws directly on his post-production and cinematography background, teaching learners to review shots, story structure and consistency with a professional eye. The course closes with workflow optimisation, industry compliance and emerging video technologies, where he discusses how professional standards, approvals and responsible use of AI-generated material apply to everyday content work. Participants finish able to build and manage agentic video pipelines that produce professional-quality content efficiently and responsibly.
Don Chan is a creative media educator, lecturer, curriculum developer and industry practitioner who has spent more than 15 years teaching and producing across video, photography, design and generative AI. He is the Founder, Lead Trainer and Creative Director of Pixel Cloud (2012 to present), a Singapore creative media and training practice, and he works professionally in corporate videography and event and wedding photography and videography. Through Pixel Cloud's NTUC LearningHub partnership, he has delivered more than 100 adult course runs since 2019 across public, SGUS and SCTP programmes with a 4.90/5 average trainer-effectiveness rating. As Senior Media Trainer for MOE public schools since 2012, he teaches camera craft, directing, sound, editing and visual storytelling, and mentored Kent Ridge Secondary's team to 1st Place in the 2026 Objectifs Student Film of the Year. He is a DaVinci Resolve Certified Trainer and an Apple Logic Pro Certified User, and holds a BSc in Multimedia & Design from the Singapore University of Social Sciences.
In WSQ - Agentic AI for Video Creation, Don helps media professionals, marketers and digital storytellers build AI-powered video workflows on top of solid production craft. The first topic, creative strategy and end-to-end production with agentic AI, walks learners through ideation, scriptwriting, storyboarding, voiceover, image and video asset generation, editing and distribution, and shows how multiple AI agents can share that workload. His directing and camera-craft teaching keeps the focus on story, so the agents serve the creative vision rather than replace it. In the second topic on AI-assisted editing, storytelling and quality assurance, his post-production expertise in DaVinci Resolve, Premiere Pro and After Effects helps participants review and refine AI output to a professional standard. The course closes with workflow optimisation, industry compliance and emerging video technologies, informed by his years of delivering client productions to agreed standards. Guided by his "Appreciate, Analyze, Apply" method, learners finish able to design and manage agentic video pipelines that deliver consistent, publishable results.
Dr. Alfred Ang has built several AI video systems of his own, which makes agentic video creation a natural subject for him. A full-stack AI developer and Agentic AI solution architect who specialises in conversational, voice and video agents, he serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founded Tertiary Courses. His GitHub portfolio of more than 300 public repositories includes hermes-video-pipeline, an automated YouTube production pipeline for Tertiary Courses in which a topic request from a web form triggers a Hermes Agent webhook that researches, scripts, renders with Manim or HyperFrames, verifies and publishes the video autonomously. He also built videocreation, which turns any topic into a narrated video with AI-generated scripts, voiceover and animated scenes in TikTok and YouTube formats; lipsyncdemo, which turns a portrait and a script into a talking avatar using three lip-sync engines, including MuseTalk rendering on local hardware and HeyGen cloud renders; and digitalhuman, a voice-enabled digital-human service with voice cloning and RAG-trained content. For distribution, his socialmediapost platform publishes video, photos and text to 22 social networks with scheduling and analytics. He works with multi-agent frameworks including the Claude Agent SDK, the OpenAI Agents SDK, the Google Gemini Agent SDK, CrewAI and n8n, and he holds a PhD in Electrical Engineering from NUS and the Certificate in AI Ethics and Governance (Senior Professional) from NTU.
In WSQ Agentic AI for Video Creation, Dr. Ang shows media professionals, content creators, marketers and digital storytellers how to design and manage end-to-end video workflows in which multiple AI agents share the work. The first topic covers creative strategy and end-to-end production with agentic AI, from idea generation, scripting and storyboarding through voiceover, image and video asset generation. The second focuses on AI-assisted editing, storytelling and quality assurance, and the third on workflow optimisation, industry compliance and emerging video technologies. He brings the practical lessons of running an autonomous video pipeline: break production into clearly defined agent roles, give each agent a precise brief, insert verification steps before anything is published, and keep a human editor accountable for story, accuracy and brand. Learners use vibe coding to assemble and adjust their own workflows, and he explains when to use avatar and lip-sync tools, when animated explainers work better, and how to adapt output for different platforms and formats. Because published video carries reputational and legal risk, he also covers consent for voice and likeness, copyright, disclosure of AI-generated content and responsible use, drawing on his NTU training in AI ethics and governance. Sessions are hands-on and aligned to the WSQ competency standards, so learners finish with a working pipeline and finished clips. He also shows how to estimate the time and effort of each stage, so teams can decide which parts of production are worth automating first. To see his video and avatar projects, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
An automation builder by trade, Mr Tan Woei Ming is an Instructor, Software Developer and Agentic Automation specialist at Tertiary Infotech and the trainer for Tertiary Courses' Agentic AI with n8n courses. He is also an ACLP-certified trainer. His background is in data science and engineering: he was a Data Scientist and then Data Science Lead at Micron Technology, leading AI initiatives in predictive analytics, automation and process optimisation in the semiconductor and manufacturing industries, and he holds First-Class Honours in Electrical and Electronic Engineering from NTU together with a Master of Intelligent Systems from NUS. This mix of engineering discipline and AI expertise shapes how he teaches creative technology, with a focus on workflows that are structured, repeatable and measurable rather than one-off experiments.
This WSQ course equips media professionals, content creators, marketers and digital storytellers to create professional-quality videos using agentic AI and vibe coding methods. Mr Tan guides learners through designing and managing an end-to-end AI-powered production workflow, from ideation and creative strategy to finished, publishable video. Learners then explore AI-assisted editing and storytelling, with Mr Tan placing particular emphasis on quality assurance: checking AI output for accuracy, consistency and suitability before it reaches an audience. The final topic addresses workflow optimisation, industry compliance and emerging video technologies, where his process-optimisation experience helps learners decide which stages to automate and where human creative judgement should stay in control. His sessions are hands-on, and he encourages learners to bring their own content goals so that the workflow they build in class is one they can put to use straight away. By the end of the course, learners can explain, document and hand over their workflow so that colleagues can produce video to the same standard.
Yeo Hwee Theng is a data science and AI strategy leader with extensive experience in enterprise analytics, machine learning deployment and product innovation. As Data & Analytics Product Lead at Amplify Health, she oversees the design and implementation of AI-driven business solutions. Her earlier roles include AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot, where she managed large-scale AI transformation initiatives. She holds a Master of Technology in Enterprise Business Analytics from the National University of Singapore and an Advanced Certificate in Learning and Performance (ACLP).
In Agentic AI for Video Creation, she brings an automation and workflow-design perspective to creative production. Learners develop a creative strategy and build an end-to-end video production workflow with agentic AI, covering idea generation, script writing, storyboarding and voiceover creation through to publishing. They then use AI-assisted tools for editing, storytelling and quality assurance, before optimising their workflows and examining industry compliance and emerging video technologies. Her experience of designing AI-driven solutions for organisations helps participants see how collaborating agents can take on repetitive production steps while people keep creative control, so media professionals and marketers leave able to produce professional-quality video faster and more consistently.
Review
Customer Reviews (10)
- Average Rating: 1.3/5 Review by Course Participant/Trainee
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The course title and description were somewhat misleading compared to the actual content and learning experience. At the start of Day 1, the trainer did not clearly explain the module objectives or provide an overview of what we would be learning. Instead, we were given a number of files (Labs2) to work on and research independently, despite having shared that we had little to no prior knowledge of the subject.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 also did not clearly demonstrate the steps or processes involved. For example, instead of walking us through the video upload process on screen, we were instructed to complete the tasks ourselves and use ChatGPT if we needed assistance.
During the assessment, we found it challenging to answer many of the questions, particularly as several of the terms were unfamiliar to us, such as Remotion, Manim, Higgsfield, FFmpeg and Kanban. These terms and concepts were not adequately introduced or taught during the course.
t the end of the two-day course, we were still unclear about the overall objectives and what we were expected to have learned. We left the course feeling that we had not gained a clear understanding of the subject or acquired the expected knowledge and skills. It felt as though we had attended a two-day class but walked away empty-handed, without a clear understanding of what had been taught or how we could apply the knowledge.
For future lessons, it would be helpful for the trainer to clearly explain the learning objectives at the beginning of the course and provide relevant examples or demonstrations before moving into the practical exercises. A step-by-step demonstration of the processes would also help participants understand what is expected before attempting the tasks independently.
It is sad that we do not get to enjoy the magic of AI by forming fun videos in class out of work environment. (Posted on 9/25/2026) - Average Rating: 2.0/5 Review by Course Participant/Trainee
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The coding component was helpful, and I appreciate the skills shared during the session. However, the title “Agentic for Video Creation” led me to expect a more hands-on opportunity to create videos using AI. A clearer title that is more closely reflects the session content would help participants understand what to expect. (Posted on 9/25/2026)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 - Average Rating: 3.0/5 Review by Course Participant/Trainee
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Course objectives and the training provided deviated. To check on course description again. (Posted on 9/25/2026)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 - Average Rating: 3.0/5 Review by Course Participant/Trainee
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The course details stated online is 40-50% different from what being taught. (Posted on 9/25/2026)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 - Average Rating: 1.0/5 Review by Course Participant/Trainee
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Very disappointing course — did not meet the advertised learning outcomes1. 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
I attended Tertiary Infotech’s WSQ Agentic AI for Video Creation course and unfortunately found that the actual training did not meet the learning objectives and expectations stated in the course description.
A significant portion of the course time was not spent teaching or explaining the stated course content. In my experience, approximately 90% of the time was not focused on properly covering the advertised content or addressing questions relating to the learning objectives.
When students had questions or difficulties understanding the content, the questions were often not properly addressed. In my case, when I asked questions relating to the course content, the instructor did not directly answer the question and instead diverted the discussion to other topics. I found this unhelpful as I was asking the questions specifically to understand the stated course material.
The assessment was also completely not aligned with the course content that was taught. There appeared to be a significant mismatch between what was covered during the training and what students were subsequently expected to demonstrate during the assessment. This made it difficult to see how the assessment directly reflected the learning objectives that had been taught.
During the assessment period, I also observed the instructor watching videos instead of actively assisting students with the assessment or addressing their questions. This added to my concern about the level of instructional support provided during the course.
I also found the instructor’s communication with students very inappropriate. When I asked questions about the course content, I felt that I was being blamed rather than having my questions properly addressed. At one point, the instructor, Mak Wai Keong, told me that I behaved like an “ITE student.” I found this remark unnecessary and disrespectful in a professional learning environment. Total unacceptable
This was not only my personal impression. The students who attended the course also felt that the course did not meet the stated learning objectives and outcomes.
I also noticed that Mak Wai Keong was the instructor who conducted our course, but his name was not listed among the instructors on Tertiary Infotech’s course webpage when I checked it. I believe the training provider should clarify why the instructor conducting the course differed from the instructor information presented on the website.
Overall, I believe the actual course delivery, instructor conduct, assessment and assessment alignment should be reviewed against the advertised learning outcomes and course content. And to be reviewed by Skills Future for auditing (Posted on 9/25/2026)
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