WSQ - Vibe Coding for Multi-Agent AI Systems

9 Review(s) | Add Your Review

This WSQ-certified course equips you with the skills to design, build, and deploy multi-agent AI systems using modern vibe coding techniques. You will explore the foundations of AI agents, including agent skills as modular transferable capabilities, agent memory systems, and Model Context Protocol (MCP) fundamentals. Through hands-on projects, you will learn structured vibe coding workflows, context engineering for reliable agent behavior, and how to move from single-agent capability to powerful multi-agent collaboration.

Using both the OpenAI Agent SDK and Gemini Agent SDK, you will build collaborative multi-agent systems with structured outputs, API tool calling, supervisor routing, and sub-agent delegation. The course covers designing hierarchical and sub-agent systems, deep dives into MCP and tool orchestration, and deploying your completed systems to Streamlit. You will also develop competencies in CNN models for image recognition, diagnosing and overcoming overfitting issues, functional API coding, transfer learning for fine-tuning models, and RNN models with word embedding for text recognition.

Course Learning Outcomes

By the end of the course, learners will be able to

LO1: Understand and code CNN models for image recognition.
LO2: Diagnose overfitting issues in image recognition and propose methods to overcome the issues.
LO3: Perform functional API coding based on a selected model.
LO4: Implement transfer learning to fine tune the image recognition models.
LO5: Understand code RNN models and word embedding for text recognition.

Course Brochure

Download WSQ – Vibe Coding for AI: Machine Learning to AI Agents

Skills Framework

This course follows the guideline of Analytics and Computational Modelling ICT-DIT-3001-1.1 TSC under ICT Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$750.00	$67.50	$442.50	$292.50

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Please inform us if you intend to use your PSEA funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020503207)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Course Code: TGS-2020503207

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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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: Modern Agent Foundations

What is a modern AI agent
Agent skills as modular transferable capabilities
Agent memory systems
Model Context Protocol (MCP) fundamentals
From single-agent capability to multi-agent collaboration

Topic 2: Vibe Coding for Multi-Agent Sytems

What is vibe coding
Structured vibe coding workflow
Context engineering for reliable behavior
Overview of Vibe Coding tools
Adding agent skills

Topic 3: Build a Multi-Agent System with OpenAI Agent SDK

Designing an agent with OpenAI Agent SDK
Structured outputs and API tool calling
Supervisor routing and sub-agent delegation
Build a collaborative multi-agent system
Deployment to streamlit

Topic 4: Build a Multi-Agent System with Gemini Agent SDK

Designing an agent with Gemini Agent SDK
Build a collaborative multi-agent system
Deployment to streamlit

Topic 5: MCP and Sub-Agents

Deep dive into MCP and tool orchestration
Designing hierarchical and sub-agent systems

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Practical Performance (PP)
Oral Questioning (OQ)

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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.
Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

TensorFlow

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents of age 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

AI Developer
Machine Learning Engineer
Data Scientist
AI Software Engineer
Deep Learning Engineer
Computer Vision Engineer
NLP Engineer
Data Analyst
AI Research Assistant
AI Solutions Architect
Software Developer (AI focus)
Research Engineer (Machine Learning)
Business Intelligence Analyst
Robotics Engineer
AI Product Developer
Chatbot Developer
Automation Engineer
Predictive Analytics Specialist
Model Validation Analyst
Technology Innovation Specialist

Trainers

Dr Alvin Ang - Dr Alvin Ang is an ACLP-certified data science and AI trainer with a Ph.D. in Operations Research from Nanyang Technological University. With over a decade of academic and industry experience, he has taught machine learning, deep learning, and data science at NTU, SUSS, Curtin University, and as an IBM Data Science Instructor. He is the founder of the open-source community DataFrens.sg and has earned multiple IBM certifications in TensorFlow, machine learning, and applied Python, ensuring he brings both theoretical expertise and practical know-how to his teaching.

Dr Ang specializes in guiding learners through advanced machine learning workflows, from data preprocessing to neural network design and deployment. His courses emphasize TensorFlow applications, including CNNs, RNNs, and deep learning pipelines, supported by hands-on coding exercises and real-world case studies. Through his structured and learner-focused approach, he equips participants with the ability to build scalable, high-performance machine learning applications that address complex business and research challenges.

Quah Chee Yong - Quah Chee Yong is an ACLP-certified trainer with strong expertise in machine learning, NLP, and AI solution development. He has served as Data Science Training Lead at MSITEK, delivering AI programs for SAP, Temasek Polytechnic, and IMDA, and was previously AI Solutions Lead at AiDeal Scan, where he developed recommender systems, NLP-driven search algorithms, and customer analytics using TensorFlow and Keras. His background also includes heading the data science team at GoWild Singapore, where he built analytics platforms and developed AI-powered digital assistants.

Quah has extensive experience teaching advanced machine learning concepts to both technical and non-technical learners. His training emphasizes practical implementation using TensorFlow for deep learning, covering model optimization, transfer learning, and deployment in cloud environments. With his strong industry track record and training expertise, he ensures participants gain the technical depth and applied skills needed to develop advanced machine learning applications in real-world contexts.

Terence Ee - Terence Ee is an IT leader and independent consultant with more than 25 years of experience in technology management, enterprise systems, and digital transformation. He has held senior leadership roles including Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he oversaw large-scale IT strategy and system implementation. With academic qualifications in Computer Science (NUS) and Technology Management (Staffordshire University), he combines executive experience with technical expertise in advanced computing and analytics.

Since 2017, Terence has focused on training and consulting, delivering courses in Python programming, data analytics, and machine learning. His approach emphasizes practical application of TensorFlow for advanced model development, helping learners build, train, and deploy machine learning applications. By bridging executive-level strategic insight with hands-on technical training, Terence equips participants with the knowledge and skills to implement scalable, high-value machine learning solutions in organizational settings.

Solomon Soh Zhe Hong - Solomon Soh Zhe Hong is a data scientist and AI trainer with deep expertise in advanced machine learning and deep learning applications. At IBM Singapore, he supervised 24 machine and deep learning projects, including NLP, computer vision, and chatbot solutions, earning a 96% learner satisfaction rating. His professional experience also includes roles at Workforce Optimizer and Certis Cisco, where he applied reinforcement learning, forecasting, and optimization models using TensorFlow, scikit-learn, and other frameworks.

Certified as an AI Engineer and TensorFlow Developer, Solomon has taught as lead instructor for data science bootcamps and corporate training across Asia. His courses focus on hands-on deep learning with TensorFlow, covering CNNs, RNNs, LSTMs, and model deployment pipelines. With a strong blend of technical expertise and practical teaching, he ensures participants are equipped to design, optimize, and deploy advanced machine learning applications that drive measurable impact.

Customer Reviews (9)

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 12/20/2024)

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 12/20/2024)

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

The assesement is too lengthy and difficult! It should be conducted on a separate day so that students have adequate time to study/revise what they have learnt. Otherwise, it may affect students' performance when they are too tired and hungry in the evening. (Posted on 12/20/2024)

Mr. Alfred Ang is a professional and excellent trainer. He is patience and will check on our daily progress regularly. I learned a lot from him during these 2 days 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

Ensure that all the resources are inside the Google Classroom
(Posted on 8/4/2021)

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 8/2/2021)

might 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

More practice before the exam
Computer test instead of paper test (Posted on 5/3/2021)

might 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

the laptop is too slow
more practical session before exam (Posted on 5/3/2021)

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 8/2/2020)

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

Include more exercises on real time application (Posted on 6/2/2020)

Write Your Own Review

You're reviewing: WSQ - Vibe Coding for Multi-Agent AI Systems

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

*Nickname
*Summary of Your Review
*Review
*Please type the letters below

You May Be Interested In These Courses

IBF - AI Assisted Python Programming for Finance

2 Review(s)

$2,000.00 (GST-exclusive)

$2,180.00 (GST-inclusive)

WSQ - Python Fundamental Course for Beginners

536 Review(s)

$750.00 (GST-exclusive)

$817.50 (GST-inclusive)

WSQ - Build and Deploy Python Applications with Vibe Coding

171 Review(s)

$750.00 (GST-exclusive)

$817.50 (GST-inclusive)

WSQ - Building Your First Machine Learning Model with Python and Tensorflow

9 Review(s)

$750.00 (GST-exclusive)

$817.50 (GST-inclusive)

WSQ - Data Analytics and Visualization with Python

96 Review(s)

$750.00 (GST-exclusive)

$817.50 (GST-inclusive)

WSQ - Create RESTful APIs and Web Apps with Python Flask

7 Review(s)

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

WSQ - Python Text Mining and Analytics: Transforming Text into Insights

3 Review(s)

$720.00 (GST-exclusive)

$784.80 (GST-inclusive)

WSQ - Python Programming for Finance

42 Review(s)

$1,000.00 (GST-exclusive)

$1,090.00 (GST-inclusive)

WSQ - Vibe Coding for Multi-Agent AI Systems

Course Learning Outcomes

Course Brochure

Skills Framework

Certification

WSQ Funding

SkillsFuture Enterprise Credit (SFEC)

SkillsFuture Credit (SFC)

UTAP

PSEA

Fee

Course Information

Post-Course Support

Course Cancellation/Reschedule Policy

Course Details

Course Info

Promotion Code

Minimum Entry Requirement

Minimum Software/Hardware Requirement

About Progressive Wage Model (PWM)

Funding Eligility Criteria

Steps to Apply Skills Future Claim

SkillsFuture Level-Up Program

Get Additional Course Fee Support Up to $500 under UTAP

Steps to Apply UTAP

Note

Appeal Process

Job Roles

Trainers

Customer Reviews (9)

Write Your Own Review

You're reviewing: WSQ - Vibe Coding for Multi-Agent AI Systems

How do you rate this product? *

You May Be Interested In These Courses

About Us

Training Grants and Subsidies

Authorised Training Partners

Authorized Testing Centers

Approved Training Organizations

Approved Suppliers

Regional Training Centers

Contact Us Information

Information

Enquires

Training Grant and Subsidy

Our Websites

Certified Trainers