WSQ - Agentic AI for Video Creation

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.