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Course Details
Course Details
What You'll Learn
Topic 1: Script Development and Creative Storytelling with Generative AI
Topic 2: AI-Assisted Storyboarding, Visual Design and Video Creation
Topic 3: Script Refinement, Responsible AI and Copyright Risk Management
Course Info
Prerequisite
Participants should already understand basic browser use and file management; programming fundamentals for developer or architect courses. Review the fundamentals before attending this course.
Software Requirement
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.
Hardware Requirement
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
- Content Creator
- Digital Marketing Executive
- Video Producer
- Scriptwriter
- Storyboard Artist
- Multimedia Designer
- Social Media Manager
- Creative Director
- Brand Storyteller
- Instructional Designer
- Corporate Trainer
- Marketing Communications Specialist
- Advertising Executive
- eLearning Developer
- Copywriter
- Public Relations Officer
- Visual Content Developer
- Digital Strategist
- AI Content Developer
- Creative Technologist
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.
Designing production systems around Claude is the core of Dr. Alfred Ang's daily work, which makes this architect-level certification a natural fit. Dr. Ang is CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, and a full-stack AI developer, Agentic AI solution architect and corporate trainer who builds intelligent agents and business solutions end to end, from front end and back end to databases, cloud deployment and native mobile apps. The public portfolio at github.com/alfredang, with more than 300 repositories, includes several Claude-based systems running in production. Two AI-powered content management systems built on Next.js and the Claude Agent SDK generate content, run a weekly auto-blog scheduler and operate self-improving lead-generation chatbots. Claude-powered generators turn short briefs into structured courseware and proposals, a tutor marketplace uses a ten-minute Claude AI interview to vet applicants, and a digital business card platform with a built-in CRM is built on Claude. Dr. Ang also publishes reusable Claude Code skills and maintains a course-registration LMS for Singapore, Malaysia and Ghana with authenticated APIs designed for agents. Beyond Claude, the portfolio includes retrieval-augmented chatbots on several vector databases, an HR portal whose chatbot is wrapped in input and output guardrails with human-in-the-loop approval, and n8n agents for forecasting and analysis. That breadth gives Dr. Ang first-hand experience of the trade-offs this exam tests: architecture choices, cost, latency, security and governance.
This course uses those real systems to prepare learners for the CCAR-P exam domains. Solution design and architecture comes first: translating business problems into Claude-based solutions, designing end-to-end architectures with feedback loops, choosing between workflow, agentic and augmented-LLM patterns, and orchestrating multi-agent systems. Dr. Ang then covers model selection and prompting, including system prompts, templates and guardrails, few-shot and chain-of-thought techniques, context window management, prompt caching and modular Skills. The integration domain addresses RAG pipeline design, choosing between MCP, API or CLI and agent-to-agent connections, authentication and authorisation gaps, and the accuracy-latency trade-offs that appear at scale. Evaluation and optimisation follow, with metrics, evaluation datasets, A/B testing and diagnosis of prompt failures, hallucinations and model mismatch, and the course continues through governance, safety and risk management and the remaining exam domains. Dr. Ang teaches through design reviews rather than slides alone: learners work through realistic scenarios, sketch architectures, defend model and integration choices and critique each other's designs in the way a senior architect would. Examples come directly from production trade-offs, such as when an agentic pattern is worth its extra cost and how guardrails and human approval steps reduce risk. Regular practice questions in the exam's style reinforce each domain. Learners leave ready for the exam and better equipped to lead Claude projects at work. Dr. Ang also discusses observability and cost monitoring in production, showing how token usage, latency and failure rates should feed back into architecture decisions over time. To see the Claude-based systems behind this course, explore Dr. Ang's public portfolio at https://github.com/alfredang
Review
Customer Reviews (8)
- Great learning experience Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 12/6/2024)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 - Engaging trainer Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 11/12/2024)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 - Very informative Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 2/9/2024)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
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