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Generative AI for Instructional Design

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Generative AI for Instructional Design

Course Code: C1176

9 Review(s) | Add Your Review

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What's This Course About

Generative AI for Instructional Design shows you how to design better learning experiences faster using generative AI tools such as ChatGPT, Claude and Gemini. AI can help you analyse learning needs, write learning outcomes, outline courses, draft content and activities, create assessments and produce supporting materials, while you apply your expertise to ensure quality and learner impact. The course is designed for instructional designers, trainers, learning and development professionals, educators and subject matter experts who create training.

You will start by getting started with generative AI for instructional design, understanding what AI can and cannot do, how to write effective prompts and how AI fits into models such as ADDIE and backward design. You will use AI to analyse audiences and learning needs, write measurable learning outcomes and outline course structures, lesson plans and storyboards. Next you will create learning content and assessments with AI, drafting explanations, examples, case studies, scenarios and activities, and generating quiz questions, rubrics and feedback aligned to your outcomes.

Throughout the course you will learn how to review AI-generated material for accuracy, clarity, inclusiveness and instructional quality, adapt it for different delivery modes such as classroom, virtual and e-learning, and manage copyright and data privacy. Every activity is hands-on, building materials for a course of your choice. By the end, you will be able to use generative AI confidently to design engaging, effective learning experiences in a fraction of the usual time.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR1,100.00
+ 8% SST

Course Date

Course Time

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

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

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)

Hands-on and practical Review by Course Participant/Trainee
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 and interactive. The small class size meant we got a lot of personal attention. (Posted on 15/03/2026)
Great learning experience Review by Course Participant/Trainee
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 engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 04/02/2026)
Well structured course Review by Course Participant/Trainee
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
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 05/09/2025)
Good course materials Review by Course Participant/Trainee
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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 16/08/2025)
Good course materials Review by Course Participant/Trainee
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 engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 11/06/2025)

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