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Multi AI Agents 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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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.

Multi AI Agents for Content Creation

Course Code: C1034

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This course equips participants with practical skills to design and manage multi-AI-agent workflows for end-to-end content creation. Learners will explore how specialised AI agents can collaborate as researchers, strategists, writers, designers, editors, reviewers, and publishing coordinators to produce high-quality content aligned with marketing objectives.

Participants will learn how to define content goals, analyse target audiences, conduct market and competitor research, generate content ideas, and develop digital storyboards. They will assign clear roles, tasks, reference materials, brand guidelines, and quality criteria to different AI agents, enabling content to move through a structured production workflow.

The course covers the creation of content for websites, blogs, email campaigns, advertisements, videos, and social media platforms. Learners will use multi-agent processes to adapt messaging, formats, styles, and calls to action for different customer segments and communication channels while maintaining a consistent brand identity.

Participants will also learn to coordinate agent handoffs, review outputs, manage feedback loops, detect errors, and improve content through iterative refinement. Emphasis is placed on human oversight, factual accuracy, copyright, data privacy, brand safety, and responsible AI use. By the end of the course, learners will be able to build scalable multi-AI-agent workflows that improve content quality, consistency, production speed, and marketing effectiveness.

No funding is available for this course.

For WSQ funding, please check out the details at WSQ - Multi AI Agents Workflow 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

9:30am - 5:30pm

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: Multi-AI-Agent Content Ideation and Digital Storyboarding

Topic 2: Audience Research and Content Requirement Analysis

Topic 3: Multi-Channel Content Creation and Agent Workflow Coordination

Topic 4: Content Distribution, Strategy Guidelines and Responsible AI Practices

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

Job Roles

Content Strategist
Copywriter
Digital Marketing Specialist
Content Manager
SEO Specialist
UX Writer
Technical Writer
Creative Director
Digital Content Producer
Machine Learning Engineer (with a content focus)
AI Agent Workflow Developer
Brand Communications Manager
Blogging Strategist
Social Media Manager
AI Content Automation Specialist

Trainers

James Lee is an Adobe Certified Expert and Instructor with more than 20 years of experience in digital media, content creation, and IT training. He has taught extensively across corporate, polytechnic, and university settings, specializing in Adobe Creative Suite, digital marketing, and web development. His career highlights include serving as Chief Instructor at ACE Training, where he developed and delivered customized training in Adobe applications, as well as working with Nanyang Technological University on digital media projects.
An ACLP-certified trainer, James brings a strong blend of creativity and structured instructional design to his teaching. Currently a Social Media and Content Specialist at Equinet Academy, he applies real-world experience in digital marketing, content strategy, and analytics to his training. In this program, James guides learners in orchestrating multi-AI-agent content workflows, showing how researcher, writer, designer and editor agents can hand off work to each other to produce higher-quality outputs in content creation, branding, and marketing campaigns.

Allen Wong is a digital marketing strategist and ACLP-certified trainer with a strong track record in analytics-driven campaigns, having generated over $5 million in revenue through data-centric strategies. As CEO and founder of Medistation Pte. Ltd., he has worked across multiple industries to design and execute impactful digital marketing and e-commerce strategies. His expertise spans SEO, customer engagement, and generative AI applications, where he focuses on applying technology to boost visibility and drive measurable results.
In this course, Allen leverages his deep experience in AI-powered marketing and automation to teach learners how to coordinate teams of AI agents across the content production pipeline. His hands-on approach emphasizes real-world business applications such as campaign design, multi-channel content generation, and customer engagement strategies. By combining strategic marketing insight with technical knowledge of AI, Allen empowers participants to confidently run multi-agent content workflows that scale digital creativity and business impact.

Tan Woei Ming is an accomplished data scientist and AI engineer with over 15 years of experience in artificial intelligence, machine learning, and data-driven innovation. Holding a Master’s in Intelligent Systems from the National University of Singapore (NUS) and a First-Class Honours in Electrical and Electronic Engineering from NTU, he has led AI initiatives in predictive analytics, automation, and process optimization across the semiconductor and manufacturing industries. His expertise lies in translating complex AI technologies into practical business applications, enabling organizations to innovate through data insights and intelligent automation.

Teddy Yip is a leadership and communication coach with over 20 years of experience in professional training, business development, and technology integration. He has facilitated workshops across corporate and public sectors, focusing on digital transformation, communication strategies, and AI literacy for modern workplaces. With a strong background in client engagement and process innovation, Teddy blends human-centered thinking with digital tools to drive learning and performance outcomes.
In “Multi AI Agents for Content Creation,” Teddy focuses on helping professionals apply multi-agent content workflows for creativity, communication, and business innovation. His sessions explore real-world applications of AI content generation, from crafting marketing narratives to automating review and publishing workflows, with attention to human oversight and brand safety. By merging his expertise in training and AI adoption, he empowers learners to produce engaging, high-quality, and purpose-driven content.