Course Details
Course Details
What You'll Learn
Topic 1: Fundamentals of SEO and Generative AI
Topic 2: AI-Powered Keyword Research and Content Strategy
Topic 3: Creating SEO-Optimised Content with Generative AI
Topic 4: AI for On-Page SEO and Content Optimisation
Topic 5: SEO Performance, Ethics, and Best Practices with AI
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)
- A free Google account
- Google Search Console – free
- Google Analytics – 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
- SEO Specialist
- E-commerce Manager
- Digital Marketing Manager
- Content Strategist (for e-Commerce)
- E-commerce SEO Analyst
- Product Listing Manager
- Online Retail Strategist
- Affiliate Marketer (e-Commerce focus)
- Conversion Rate Optimization Specialist
- Web Developer (e-Commerce platforms)
- E-commerce Brand Manager
- Online Merchandiser
- E-commerce Content Creator
- E-commerce UX/UI Designer
- E-commerce Analytics 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.
As Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, Dr. Alfred Ang has spent a great deal of time solving a problem every content marketer knows well: how to publish more useful pages without sacrificing quality or search visibility. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer who builds complete solutions end to end, from front-end interfaces and back-end services to databases, cloud deployment and native mobile apps. Search sits at the heart of several flagship projects. Dr. Ang built a self-hosted, AI-powered content management system on Next.js and the Claude Agent SDK that generates content, runs a weekly auto-blog scheduler and bakes SEO and lead capture into every page, along with a sister CMS that adds a self-improving chatbot. Dr. Ang also developed ai-mms, the course-registration platform that runs the Tertiary Courses sites in Singapore, Malaysia and Ghana, where flat URL structures, clean redirects, meta titles and sitemaps are managed as part of everyday engineering. Other repositories include SEO-focused landing pages for consultancies with schema markup and WhatsApp lead capture, a video pipeline that turns topic requests into researched YouTube content, and a social publishing platform that pushes a single post to 22 channels with one API call. More than 300 public repositories on GitHub show this mix of AI writing, technical SEO and content distribution in practice, built and maintained on live websites rather than in theory.
In Generative AI for SEO, that practical experience turns abstract best practice into a working routine. Dr. Ang begins with the fundamentals: how search engines evaluate content, where tools such as ChatGPT, Claude and Gemini genuinely help, and how to write prompts that produce usable research rather than generic filler. Learners then use AI for keyword research and content strategy, clustering search terms by intent, mapping topics to pages and planning a realistic content calendar. The third topic focuses on creating SEO-optimised articles with generative AI, with Dr. Ang showing how to brief the model with audience, angle and evidence, then edit the draft so it reads as if an expert wrote it. On-page optimisation follows: titles, meta descriptions within character limits, headings, internal links and structured content that both people and search engines understand, all lessons Dr. Ang applies when tuning live course pages. The course closes with performance tracking, measuring what is working, and the ethics of AI content, including accuracy, originality and why thin, mass-produced pages backfire. Throughout, Dr. Ang favours short demonstrations followed by hands-on exercises on learners' own websites or sample pages, so everyone leaves with a keyword plan, optimised drafts and a repeatable workflow rather than a set of slides. Questions about real ranking problems are welcome and often become live case studies for the whole class. Learners are also shown how to keep AI-assisted pages consistent with brand voice across a whole site. To explore the AI content and SEO tools Dr. Ang has built, visit https://github.com/alfredang
Review
Customer Reviews (10)
- Clear and easy to follow 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 6/11/2026)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 - Exceeded my expectations Review by Course Participant/Trainee
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Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 6/8/2026)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 - Clear and easy to follow 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 5/2/2026)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 - Well structured course Review by Course Participant/Trainee
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The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 3/14/2025)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 - Very satisfied 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 10/2/2024)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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