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Generative AI for Content Creation

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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This course is for beginners. No prerequisite is required.

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Generative AI for Content Creation

Course Code: C439

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Generative AI for Content Creation shows you how to plan, produce and manage high-quality content with generative AI tools such as ChatGPT, Claude, Gemini and AI image generators, guided by a clear content strategy. AI can help you brainstorm ideas, draft articles and social posts, create visuals and repurpose content across channels, but quality, accuracy and brand consistency still depend on human judgement. The course is designed for marketers, communications professionals, content writers, business owners and creators.

You will start with an introduction to content strategy and AI generation, defining goals, audiences, channels and brand voice, and learning how to brief generative AI tools to produce on-strategy blog posts, newsletters, social media content, scripts and images. You will build prompt templates and workflows that make content production faster and more consistent. Next you will evaluate AI-generated content, checking it for accuracy, originality, tone, readability and alignment with your objectives, and editing it into publish-ready work.

The final topic covers the ethical and legal concerns of managing AI-generated content, including copyright and intellectual property, disclosure, bias, misinformation and data privacy, and how to set guidelines and review processes for your team. Throughout the course you will work on hands-on exercises using your own brand or a sample business. By the end, you will be able to use generative AI to create compelling content efficiently while managing quality and risk responsibly.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more generative AI training.

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.

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Generative AI for Content Creation

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time: No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Introduction to Content Strategy and AI Generative Tools

Topic 2: Evaluate AI-Generated Content

Topic 3: Ethical and Legal Concerns of Managing AI-Generated Content

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:

A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)

Hardware: Windows PC or Mac laptop

Trainers

Dr. Alfred Ang has put generative AI to work on his own company's content, which gives him a practical view of where it helps and where it still needs a human editor. As founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, he oversees a training business that publishes course pages, blog posts and marketing material, and as a full-stack AI developer and Agentic AI solution architect he builds the tools behind that output. His GitHub, home to more than 300 public repositories, includes ai-cms, a self-hosted AI-powered CMS for training providers with AI content generation and a weekly auto-blog scheduler built on the Claude Agent SDK; videocreation, which turns any topic into a narrated video with AI-generated scripts, voiceover and animated scenes in TikTok and YouTube formats; logomaker, which generates logo options with Gemini or OpenAI; and lipsyncdemo, which turns a portrait and a script into a talking avatar. Earlier in his career he founded OSWeb2Design Singapore Pte Ltd, offering web development, graphics design, ebook publishing and digital marketing services. He holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU, Microsoft Certified AI Engineer Associate (AI-102) and AWS Certified AI Practitioner credentials and a PhD in Electrical Engineering from NUS, and he is an ACTA-certified trainer and DACE-certified curriculum developer. That background in both creative services and AI engineering lets him speak to marketers and technologists alike.

In Generative AI for Content Creation, Dr. Ang starts where good content always starts: with strategy. Learners define goals, audiences, channels and brand voice, then learn to brief ChatGPT, Claude, Gemini and AI image generators so that the drafts, visuals and social posts they get back actually fit the plan. He demonstrates how a single idea can be repurposed into an article, a social post, a short video script and an email, using the same multi-format thinking behind his own video and publishing tools. The second topic focuses on evaluating AI-generated content, where learners check accuracy, tone, originality and brand consistency, and build simple review checklists that catch invented facts and generic writing before anything is published. The final topic addresses the ethical and legal concerns of managing AI-generated content, including copyright, disclosure, privacy and bias, informed by his AI ethics and governance training. He is candid that quality still depends on human judgement, and he shows how to keep a person in charge of the final edit while AI handles the heavy lifting of first drafts and variations. Marketers, communications professionals, content writers, business owners and creators get plenty of guided practice, and leave with a content workflow and a set of reusable prompts tailored to their own brand and channels. He also demonstrates how to create brand style guides that AI tools can follow, so output stays consistent across a whole team. To see the content and media tools he builds, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Tan Wei Liang is an ACTA-certified game developer whose professional work centres on building games with Unity and Unreal. Game development is a demanding software discipline that brings together programming, real-time interaction, testing and performance tuning, and it rewards developers who can reason carefully about how the many parts of a complex application fit together. His ACTA certification reflects formal preparation in adult training and assessment, so he is equipped to structure lessons, guide hands-on practice and check that learners can apply what they have learnt.

In Generative AI for Content Creation he connects that creative, production-minded background to the way content is planned and produced with generative AI tools such as ChatGPT, Claude, Gemini and AI image generators. Learners begin with content strategy and an introduction to the generative tools, then practise evaluating AI-generated content for accuracy, quality and fit with their goals. The final topic covers the ethical and legal concerns of managing AI-generated content, so participants understand where human judgement and review remain essential. By the end of the course, learners can brainstorm ideas, draft articles and social posts and create supporting visuals with AI, while keeping their output consistent with a clear content strategy.

Jyoti Chopra is a design professional and ACLP trainer whose skill set spans graphics, Adobe Photoshop, sketching and 3D visualisation. She has taught WSQ and professional courses in AutoCAD, graphic design and 3D modelling, and is an Autodesk Certified Professional (AutoCAD) who has taught AutoCAD, 3ds Max and Revit at a recognised teaching institute. Her industry experience includes architectural design, simulation and drafting for residential and landscape projects in Singapore, and her facilitation style encourages creativity, precision and efficiency.

In Generative AI for Content Creation, Jyoti brings her graphic design background to planning and producing content with tools such as ChatGPT, Claude, Gemini and AI image generators. Learners start with content strategy and the role of generative AI tools, then evaluate AI-generated content for quality, accuracy and fit with their audience, and finally examine the ethical and legal concerns of managing AI-generated material. Her emphasis on practical application and real-world case studies helps participants build a repeatable workflow, so they leave able to brainstorm, draft, create visuals and repurpose content across channels while keeping quality and brand consistency under control.