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Course Details
Course Details
What You'll Learn
Topic 1: Develop No Code Agentic AI Workflows
Topic 2: Develop Low-Code Agentic AI Workflows
Topic 3: Real Life Applications of Agentic AI Workflows
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic computer use and digital marketing concepts will help you follow the exercises.
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
- Social Media Manager
- Digital Marketing Specialist
- Content Strategist
- Brand Manager
- Community Manager
- Influencer Marketing Coordinator
- E-commerce Marketing Specialist
- Advertising Campaign Manager
- Public Relations Specialist
- Marketing Analyst
- Event Promoter
- Customer Engagement Specialist
- Social Media Designer
- Affiliate Marketer
- Business Development Manager (online focus)
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.
Social media marketing has become a production line of ideas, copy, creative and reporting, and Dr. Alfred Ang builds AI systems that run that line. As CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer who builds intelligent agents and business solutions end to end, across front end, back end, databases, cloud deployment and native mobile apps. The most relevant project is a full-stack social media publishing platform in which one API call posts video, photos and text to 22 platforms, with scheduling, queues, pipelines and analytics. Dr. Ang has also built two AI-powered content management systems on Next.js and the Claude Agent SDK that generate SEO-friendly copy, schedule blog posts automatically and run self-improving lead-generation chatbots; an automated video production pipeline that researches, scripts, renders and publishes; a tool that turns any topic into a narrated video in TikTok or YouTube formats; and a logo maker powered by Gemini and OpenAI image models. Beyond these, the portfolio includes a digital business card platform with lead capture and a sales pipeline, n8n email automation with subscriber syncing for Tertiary Courses in Malaysia and Ghana, and a series of lead-magnet landing pages with chat widgets. With more than 300 public repositories at github.com/alfredang, Dr. Ang focuses on what makes AI marketing work: consistent brand voice, measured results and automation that stays under human control.
This course applies that experience to Facebook. Learners start with the essentials of Facebook marketing and agentic AI, set up AI tools and agents, map audiences, objectives and the ads ecosystem, and learn prompting that produces on-brand content and ads. The second topic covers content creation: generating post ideas, captions and ad copy, creating images, carousels and video creatives with AI, planning a content calendar and keeping brand voice consistent. Next, learners build and optimise campaigns, setting up campaigns, ad sets and targeting, researching and segmenting audiences with AI, A/B testing creatives and copy and analysing metrics to decide what to scale. The final topic brings in automation: building agentic workflows for content and ads, automating posting, responses and reporting, scaling winning campaigns and following advertising, compliance and privacy best practice. Dr. Ang draws on the scheduling, queueing and analytics design of the social publishing platform to show how agents can take on routine work while people keep control of strategy, budget and approvals. Sessions are hands-on and use each learner's own page or a realistic sample business, so participants practise writing prompts, producing creative, reading results and refining their approach. Dr. Ang is candid about where AI-generated content needs a human edit and why policy compliance must never be left to an agent alone. Everyone leaves with a content calendar, campaign drafts and a working automation plan. Time is also spent interpreting campaign reports with AI, turning raw metrics into clear next steps rather than another dashboard nobody reads. To see the marketing and publishing systems behind this course, explore Dr. Ang's public portfolio at https://github.com/alfredang
Review
Customer Reviews (9)
- Good course materials Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 2/26/2025)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 - Worth every cent Review by Course Participant/Trainee
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Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 12/12/2024)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 - Clear and easy to follow Review by Course Participant/Trainee
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 8/17/2024)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 - Very satisfied Review by Course Participant/Trainee
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Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 3/27/2024)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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