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Course Details
Course Details
What You'll Learn
Topic 1: Getting Started with Generative AI for Instructional Design
Topic 2: Creating Learning Content and Assessments 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)
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
- Instructional Designer with AI Expertise
- GAI-Enhanced Learning Coordinator
- Educational Technologist using AI
- AI-Powered Curriculum Developer
- E-Learning Specialist with GAI
- AI-Assisted Instructional Technology Consultant
- Personalized Learning Developer using AI
- Digital Learning Innovator with AI Applications
- AI-Based Educational Content Creator
- Training and Development Officer with AI Integration
- AI-Enhanced Academic Advisor
- Educational Data Analyst using AI
- GAI-Driven Corporate Trainer
- Online Course Designer with AI Tools
- AI-Enhanced Performance Coach
- Adaptive Learning Developer using GAI
- AI-Driven Educational Researcher
- GAI-Powered Learning Experience Designer
- AI-Based Learning Analytics Specialist
- AI-Enhanced Student Engagement Strategist
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.
Few trainers build the learning platforms they teach on, but Dr. Alfred Ang does exactly that. As CTO of Tertiary Infotech Academy Pte Ltd, the Singapore organisation behind Tertiary Courses, Dr. Ang works as a full-stack AI developer, Agentic AI solution architect and corporate trainer, building EdTech and business solutions end-to-end across front end, back end, databases, cloud and native mobile apps. More than 300 public repositories on GitHub document that work, and many of them are about learning design. Dr. Ang built a self-hosted, AI-powered learning and training management system with AI agent automation, together with companion iOS and Android apps for learners and trainers. Dr. Ang also created a Claude-powered courseware generator on Streamlit and a set of Claude Code skills that produce slide decks, learner guides and lesson plans in one consistent house style. Other projects include ai-exams, a certification practice-exam platform with AI-assisted question generation, a self-contained SCORM e-learning module with narrated video, interactive topics and knowledge checks, and a gamified AI learning portal for children covering storytelling, coding and phonics. Each one tackles a familiar instructional design problem, from writing outcomes to producing assessments, with generative AI doing the heavy lifting under human review. Building these tools has also taught Dr. Ang where generative AI falls short, such as drifting off the intended learning level, inventing references or producing questions that test recall instead of application, and those lessons inform the quality checks taught in this course.
In Generative AI for Instructional Design, Dr. Ang brings that experience into the room so that instructional designers, trainers and learning and development professionals can work faster without lowering their standards. The first part of the course gets participants started with tools such as ChatGPT, Claude and Gemini, and shows how to use them to analyse learning needs, draft measurable learning outcomes and outline a course structure that flows logically. The second part focuses on creating learning content and assessments with AI: writing lesson content and activities, generating scenario-based questions and answer guides, and producing supporting materials such as job aids and facilitator notes. Because Dr. Ang has automated courseware and question generation at production scale, the class spends real time on the parts that matter most, including prompt patterns that keep tone and level consistent, checking AI output for accuracy and alignment, and deciding where the designer's professional judgement must override the machine. Participants work on their own topics during the session, so they leave with draft outcomes, a course outline and sample assessments they can refine and use. Dr. Ang's teaching style is practical and conversational, with live demonstrations followed by guided practice and feedback. Attention is also given to responsible use, including protecting learner and organisational data, acknowledging AI assistance where appropriate and keeping content accessible and inclusive, so that faster development never comes at the expense of learning quality, fairness or the trust of the learners who will ultimately use the materials. Learners are welcome to explore Dr. Ang's EdTech projects at https://github.com/alfredang.
Review
Customer Reviews (9)
- Exceeded my expectations 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 1/4/2025)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 useful course Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 12/1/2024)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 - Knowledgeable trainer Review by Course Participant/Trainee
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The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 9/9/2024)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 - Hands-on and practical 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 1/1/2024)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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