You have no items in your shopping cart.
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
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: 18-65 years old
Minimum Software/Hardware Requirement
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 (confirm the required account tier with the trainer)
- CapCut – free
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.
Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.
If you need help arranging a suitable device, contact us before the class to confirm availability.
Job Roles
Job Roles
- AI Developer
- Cloud AI Engineer
- Azure Developer
- AI Solutions Architect
- Machine Learning Engineer
- Software Engineer (AI Integration)
- Intelligent Automation Specialist
- Conversational AI Developer
- Data Scientist
- Azure Cloud Consultant
- AI Product Manager
- Cloud Infrastructure Engineer
- Semantic Kernel Developer
- Technical AI Trainer
- Cognitive Services Specialist
- Chatbot Developer
- AI Application Developer
- AI Research Engineer
- Multi-Agent Systems Engineer
- Innovation and R&D Specialist
Trainers
Trainers
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
Video production is one of the areas where Dr. Alfred Ang has pushed agentic AI furthest. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and is CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, building intelligent agents and business solutions end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub document this work. Dr. Ang built an automated YouTube video production pipeline for Tertiary Courses, in which a topic request submitted through a web form triggers an agent that researches the subject and moves the video through production with minimal manual effort. A separate video creation tool turns any topic into a narrated video with an AI-written script, voiceover and animated scenes in both TikTok and YouTube formats. For presenter-style content, Dr. Ang developed a lip-sync demo that turns a portrait and a script into a talking avatar using three different engines, and a voice-cloned digital-human service trained on an organisation's own content. A full-stack publishing platform that posts video, photos and text to 22 social platforms from one API call closes the loop, taking finished videos from production straight to distribution. Running these pipelines for a real organisation has taught Dr. Ang where automation genuinely saves time, where human creative direction remains essential and how to keep quality consistent when dozens of videos are produced each month instead of a handful.
In Agentic AI for Video Creation, Dr. Ang shares the practical lessons from building those pipelines with marketers, content creators, social media managers, trainers and communications teams. The first topic covers creative strategy and end-to-end video production with agentic AI: defining the audience and message, then designing agents that research topics, write scripts and storyboards, generate visuals and voiceover, and assemble short-form videos ready for social media, marketing or training. The second topic focuses on AI-assisted editing, storytelling and quality assurance, including pacing, captions, brand consistency and the review checks that catch factual errors, awkward phrasing or off-brand visuals before anything is published. The third topic looks at workflow optimisation, industry compliance and emerging video technologies, helping learners decide which steps to automate, how to handle disclosure, likeness and copyright responsibly, and how to evaluate new generation tools as they appear. Because Dr. Ang runs an agent-driven video pipeline for a real organisation, the course pays close attention to reliability, cost and turnaround time, not just impressive demos. Each participant builds a working workflow and produces sample videos during class, with step-by-step guidance and room to experiment with their own content ideas. Participants also learn to measure what matters after publishing, such as watch time, engagement and conversions, and to feed those insights back into the next round of scripts and edits, so that the agent workflow improves over time instead of simply producing more content. To see the video and avatar projects behind this course, visit https://github.com/alfredang.
Review
Customer Reviews (5)
- Would attend again Review by Course Participant/Trainee
-
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 5/24/2026)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 - Worth every cent Review by Course Participant/Trainee
-
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/8/2026)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 - Very informative Review by Course Participant/Trainee
-
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 4/26/2025)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 - Would attend again Review by Course Participant/Trainee
-
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 9/6/2024)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 - Hands-on and practical Review by Course Participant/Trainee
-
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/17/2024)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
Write Your Own Review
- Recommended Courses
