Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • 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.

Course Brochure

Certification

  • 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 System for Digital Marketing

Course Code: C349
AI Vibe Coding Series
Share

What's This Course About

Digital marketing is being rebuilt around agentic AI. Instead of one person prompting a chatbot for a caption at a time, a multi AI agents system puts a whole marketing team to work — a market research agent, an SEO and keyword agent, a copywriter, a creative agent, a campaign scheduler and a performance analyst — that brief each other, review each other's output and keep working while you sleep. In this hands-on 2-day course, you will learn to design, build and orchestrate those agent teams with leading multi-agent frameworks.

Through guided exercises, you will build agents that research your market and competitors, generate on-brand content and ad variants at scale, publish across channels on a schedule, then read the analytics and feed what they learn back into the next campaign. You will wire in human approval checkpoints, brand-voice guardrails and quality gates, so the system moves fast without putting your brand at risk.

By the end of the course, you will walk away with a working multi-agent marketing crew and a practical blueprint you can point at your own campaigns — turning weeks of manual content, reporting and optimisation work into a pipeline that runs on its own. Ideal for marketers, agency teams, founders and consultants who want the output of a full marketing department without the headcount.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Agentic AI for Digital Marketing

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

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.

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

Topic 1 Multi Agent Foundations for Marketing

  • Single agent vs multi agent systems
  • Roles, handoffs and orchestration patterns
  • Choosing frameworks and models
  • Designing a marketing agent pipeline

Topic 2 Research and Content Agents

  • Market and competitor research agents
  • Audience and keyword agents
  • Content generation and editing agents
  • Brand voice and quality control

Topic 3 Campaign Execution Agents

  • Channel-specific publishing agents
  • Ad copy and creative variant agents
  • Scheduling and coordination
  • Human approval checkpoints

Topic 4 Analytics and Optimisation

  • Performance monitoring agents
  • Attribution and reporting
  • Automated experimentation and iteration
  • Deploying and maintaining the system

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Sign up for free Google account

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • AI Agent Developer
  • Multi-Agent Systems Engineer
  • AI Solutions Architect
  • Machine Learning Engineer
  • AI Automation Specialist
  • Conversational AI Developer
  • AI Product Manager
  • Prompt Engineer
  • AI Integration Consultant
  • Full Stack AI Developer
  • AI Research Engineer
  • Intelligent Systems Designer
  • AI DevOps Engineer
  • Natural Language Processing Engineer
  • AI Platform Engineer
  • Robotics Process Automation Developer
  • AI Strategy Consultant
  • Data Science Engineer
  • Cloud AI Engineer
  • AI Application Developer

Trainers

Trainers

Mohamed Afiq is a ACTA certifed trainer. Mohamed Afiq startup CTO for 3 years building proprietary delivery system from scratch and then managing a team of 20 developers. He builted multiple web apps using MEAN or similar stacks. He is also a founder and sole developer for PlayTours: https://playtours.app/ . He leads instructor at CodeNinja, teaching coding to kids 9-16 years old and teach adults front-end and back-end for web development.

Peter Goh is a ACTA certified trainer. Peter Goh is the Technology Evangelist at Disruptive Digital, a full-service digital agency based in Singapore, offering innovative & effective web and native mobile application development. He specializes in bleeding edge software development and have more than 10 years' experience in developing customized applications for desktop, web and mobile platforms. He has extensive domain knowledge in .Net and Java programming, iOS development and has helped many to create e-commerce web sites on Amazon AWS and Microsoft Azure.

Breeze has around 10+ years of experience in UI and Front End Development. He has worked on various projects involving Single Page Applications, E-Commerce, Responsive Web Design, Dashboard Development, Website Development and Mobile App Development using tools like Angular.JS, Backbone.JS, Ractive.JS, Twitter Boostrap, Zurb Foundation, Gulp, SASS, LESS, Underscore.JS, JQuery, Mocha, Cucumber etc.
His project experience has given him the opportunity to work on various domains involving finance, telco, education, retail, healthcare, auto-mobile and tourism.
 

Review

Customer Reviews (20)

will rcommend 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
Give bonus salary to my funny lecturer who made the course exciting to learn (Posted on 8/15/2022)
will recommend 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
. (Posted on 8/15/2022)
recommend 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
. (Posted on 1/14/2022)
wil recommend 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
Get a white board in the room

Instructor was skilful in integrating the practical aspect of the course with the theories and stayed back to help students troubleshoot error. Keep it up Clarence . (Posted on 3/30/2020)
wil recommend 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
ppreciate Clarence’s willingness to discuss on abstract issues to strengthen understanding. (Posted on 3/27/2020)

Items 1 to 5 of 20 total

per page
Page:
  1. 1
  2. 2
  3. 3
  4. 4

Write Your Own Review

You're reviewing: Multi AI Agents System for Digital Marketing

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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