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WSQ - Agentic AI Automation with n8n

WSQ - Agentic AI Automation with n8n

WSQ Agentic AI Automation with n8n is designed for professionals looking to integrate agentic AI, workflow automation, and hybrid reasoning systems into real-world business scenarios. You will learn to identify and design ASR (Agentic System Reasoning) applications using n8n, build intelligent workflows with APIs, webhooks, and automate routine operations. The course covers foundational knowledge in workflow design, low-code interfaces, and HTTP request handling using n8n’s visual environment.

You will also delve into the development of AI agents, implement Retrieval Augmented Generation (RAG) using embeddings and vector stores, and build cooperative multi-agent systems with LLMs. Practical modules include setting up Telegram chatbots, AI voice agents, and viral content generators. By the end of the course, you will be capable of decomposing complex automation problems, applying model context protocols, and developing hybrid intelligent applications for business needs using n8n.

Learning Outcomes

By end of the course, learners should be able to:

LO1: Identify required ASR functions based on business needs and design ASR applications accordingly.
LO2: Analyse business drivers to design and apply search techniques in ASR for expected outcomes.
LO3: Decompose complex ASR scenarios into subproblems and resolve them using cooperative intelligent subsystems.
LO4: Design cooperative reasoning modules and create hybrid systems in ASR using suitable techniques and programming.
LO5: Build hybrid reasoning systems for ASR using appropriate techniques and sub-modules.

Course Brochure

Download WSQ - Agentic AI Automation with n8n

Skills Framework

This course follows the guideline of Intelligent Reasoning ICT-ACE-5030-1.1 under Media 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
$1,200.00	$108.00	$708.00	$468.00

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.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2023035977)

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-2023035977

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: Workflow Automation with n8n

Overview of n8n
Explore n8n UI
Key Concepts of n8n - Nodes and Logic Flow
Create Automation Workflows on n8n
HTTP Request API and Webhook

Topic 2: n8n AI Agents and RAG

Overview of AI Agents - LLM, Reasoning, Tools and Memory
Create AI Agent Workflows on n8n
Overview of Retrieval Augmented Generation (RAG)
Key Concept of Embedding and Vector Stores
Create RAG Workflows on n8n

Topic 3: Collaborative Multi Agents Systems

Overview of Multi Agents
Create Collaborative Multi AI Agents Systems on n8n
Setup Telegram Chatbot Agent

Topic 4: Model Context Protocol

Overview of Model Context Protocol (MCP)
Setup MCP Server on n8n
Setup MCP Client on n8n

Topic 5: Develop Agentic AI Applications with n8n

Setup Travel AI Voice Agent
Setup Viral Youtube Agent

Final Assessment

Written Assessment (SAQ)
Practical Exam

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
Minimum Polytechnic Diploma

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Hardware: Window or 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 Automation Engineer
Machine Learning Engineer
AI Solutions Architect
Conversational AI Developer
Speech Recognition Engineer
NLP Engineer
Data Scientist
AI Product Manager
Research Scientist (AI)
RPA Developer
AI Consultant
Deep Learning Engineer
Business Intelligence Developer
Voice AI Specialist
Software Engineer (AI & Automation)
Data Engineer
AI Systems Analyst
LLM Engineer
AI Chatbot Developer
Tech Innovation Manager

Trainers

Tan Woei Ming: Tan Woei Ming is a data scientist and AI engineer with more than 15 years of experience in machine learning, computer vision, and data automation. He holds a Master’s in Intelligent Systems from the National University of Singapore and a First-Class Honours degree in Electrical and Electronic Engineering from Nanyang Technological University. Having led multiple AI and automation projects at Micron Semiconductor Asia, he specializes in integrating intelligent systems into industrial and creative workflows for optimized performance and innovation.

In “Automate Creative Video Editing with Agentic AI Workflows and n8n,” Woei Ming focuses on developing automated pipelines that combine AI vision models and workflow orchestration for video content generation. His sessions emphasize the integration of agentic AI with n8n for video segmentation, captioning, and creative editing automation. By bridging AI algorithms with automation logic, he equips learners with the skills to design scalable and intelligent video editing systems.

Yeo Hwee Theng: Yeo Hwee Theng is a data science leader and AI strategist with deep expertise in enterprise AI systems, data analytics, and applied automation. As the Data & Analytics Product Lead at Amplify Health, she oversees large-scale AI and data platform initiatives across the healthcare sector. Her prior experience as an AI & Data Architect at Huawei and Senior Data Scientist at DataRobot includes deploying production-grade AI solutions that drive business innovation and automation. She holds a Master of Technology in Enterprise Business Analytics from NUS and an Advanced Certificate in Learning and Performance (ACLP).

In “Automate Creative Video Editing with Agentic AI Workflows and n8n,” Hwee Theng teaches professionals how to integrate AI-driven automation into creative production workflows. Her sessions cover the use of agentic frameworks, LLM-based reasoning, and visual automation tools to manage end-to-end video creation processes. By combining technical expertise with process design, she helps participants transform manual editing into efficient, AI-augmented workflows that enhance creative productivity.

Teh Siew Yee: Teh Siew Yee is a digital transformation and data analytics expert with more than 20 years of experience across technology, banking, and manufacturing sectors. Having held leadership roles at Standard Chartered, Hewlett-Packard, and TikTok, he has led AI governance, automation, and analytics teams driving business efficiency through innovation. He holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and a Bachelor of Engineering from NTU, along with professional certification in adult learning.

In “Automate Creative Video Editing with Agentic AI Workflows and n8n,” Siew Yee focuses on the practical implementation of automation frameworks that enhance video editing and content generation. His sessions explore workflow integration between AI tools, APIs, and n8n to create agentic systems that manage tasks autonomously. Through hands-on projects, he empowers learners to apply no-code automation principles and AI orchestration to revolutionize creative production pipelines.

Truman Ng: Truman Ng is a senior AI infrastructure and cloud computing specialist with over two decades of experience in enterprise IT, cybersecurity, and digital transformation. Certified in PMP, ACTA, and Huawei HCIE, he has trained professionals worldwide in AI integration, workflow automation, and DevOps systems. His expertise lies in bridging AI innovation with secure, scalable cloud infrastructures, enabling the deployment of end-to-end automation pipelines across industries.

In “Automate Creative Video Editing with Agentic AI Workflows and n8n,” Truman guides learners in building robust automation systems that integrate AI-powered editing tools within secure cloud environments. His sessions emphasize process orchestration, cloud deployment, and optimization of video editing workflows using agentic AI principles. Through a technical yet accessible approach, he equips participants to design reliable, automated systems that streamline creative operations.

James Lee Kin Nam: James Lee is a digital media and IT educator with more than 20 years of experience in multimedia production, digital communication, and automation. An Adobe Certified Expert and ACLP-qualified trainer, he specializes in combining creativity with technology to improve visual storytelling and workflow efficiency. His expertise extends to AI-powered creative tools, helping professionals integrate automation into the content design and production process.

In “Automate Creative Video Editing with Agentic AI Workflows and n8n,” James helps participants explore the intersection of creative design and automation. His sessions demonstrate how AI agents and no-code workflows can transform traditional video editing through intelligent prompt engineering, media orchestration, and automated output generation. By combining creative vision with technical tools, he enables learners to enhance storytelling efficiency and deliver impactful, AI-assisted video content.