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WSQ - Mastering AI Agentic RAG and Workflows with No Code

WSQ - Mastering AI Agentic RAG and Workflows with No Code

This WSQ Mastering AI Agentic RAG and Workflows with No Code course empowers professionals to build and optimize AI-powered applications without coding expertise. This course explores the fundamentals of AI agentic workflows, retrieval-augmented generation (RAG), and chatbot development using leading no-code platforms such as n8n, Langflow, Agentx, and Microsoft Copilot Studio. Participants will analyze LLM applications, understand their impact on chatbot efficiency, and implement AI automation strategies tailored for various industries.

Through hands-on projects, learners will create AI agents, develop RAG-powered applications, and integrate digital human avatars for interactive user experiences. The course covers essential topics such as agentic AI reasoning frameworks, AI-powered search, and deep research capabilities. By the end of the training, participants will be equipped with the skills to enhance AI-driven workflows, improve chatbot efficiency, and deploy AI automation solutions in real-world business scenarios.

Learning Outcomes

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

LO1: Analyze LLM applications across a range of industries to identify their capabilities and limitations.
LO2: Establish the relationship between LLM design and Chatbot efficiency.
LO3: Evaluate and improve RAG application effectiveness in product.

Course Brochure

Download WSQ - Mastering AI Agentic RAG and Workflows with No Code Brochure

Skills Framework

This course follows the guideline of Artificial Intelligence Application in Product Development ICT-TEM-4034-1.1 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
$900.00	$81.00	$531.00	$351.00

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-2024043854)

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-2024043854

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: Overview of AI Agents and Agentic AI Workflows

What is AI Agent and Agentic AI?
Agentic AI vs Generative AI
LLM Reasoning Frameworks
Use Cases of Agentic AI Workflows - APA and Computer Use
Introduction to Agentic AI platforms - n8n & Langflow
Create an AI Agent on Agentic AI Platforms

Topic 2: Build Agentic AI Chatbots on No-Code Platforms

Introduction to AI Chatbot Platforms - Agentx, Promptly & Flowise
Create a Agentic AI Chatbot on AI Chatbot Platforms
Introduction to Digital Human Avatar powered by HeyGen
Create a Digital Human Avatar Chatbot with No Code

Topic 3: Build Retrieval Augmented Generation (RAG) Applications on No-Code Platforms

Overview of Retrieval Augmented Generation (RAG)
Create Agentic RAG on No-Code Platforms
Introduction to Agentic Search and Deep Research
Create AI Agents and RAG on Microsoft Copilot Studio

Final Assessment

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

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 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 Software/Hardware Requirement

Software:

You can download and install the following software:

Flowise

Hardware: Laptop

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 aged 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

Customer Service Manager
Chatbot Developer
AI Product Manager
Digital Marketing Specialist
Customer Experience Strategist
IT Support Specialist
Web Developer
AI Implementation Consultant
Technical Support Engineer
Chatbot Design Consultant
UX/UI Designer for Chatbots
Data Analyst
Software Engineer
Business Analyst
Innovation Manager
Project Manager
AI Researcher
Customer Insights Analyst
Quality Assurance Engineer
E-commerce Manager

Trainers

Tan Woei Ming:
Tan Woei Ming is a data scientist and AI engineer with over 15 years of experience in machine learning, workflow automation, and industrial AI applications. 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. Woei Ming has led AI and automation projects in the semiconductor industry, focusing on predictive analytics, robotic defect detection, and large-scale data optimization. His expertise spans TensorFlow, PyTorch, and Spark frameworks, making him adept at bridging technical depth with practical innovation.

In “Mastering AI Agentic RAG and Workflows with No Code,” Woei Ming trains professionals to build intelligent, end-to-end AI pipelines using no-code tools. His sessions focus on designing Retrieval-Augmented Generation (RAG) systems, integrating APIs, and orchestrating AI workflows for real-world automation. By combining AI reasoning models with workflow tools, he enables learners to create scalable agentic systems that perform intelligent retrieval, summarization, and task automation without traditional programming.

Yeo Hwee Theng: Yeo Hwee Theng is a data science leader and AI strategist with extensive experience in driving enterprise AI adoption across healthcare, fintech, and government sectors. As the Data & Analytics Product Lead at Amplify Health, she oversees AI-driven transformation initiatives and enterprise analytics architecture. Her previous roles include AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot, where she delivered AI deployment and model governance projects across Asia. She holds a Master of Technology in Enterprise Business Analytics from the National University of Singapore.

In “Mastering AI Agentic RAG and Workflows with No Code,” Hwee Theng focuses on applying AI architecture and data pipeline design to build RAG-based agents using no-code frameworks. Her sessions emphasize enterprise data governance, prompt engineering, and the orchestration of AI workflows for knowledge retrieval and automation. By combining technical rigor with strategic insight, she equips participants to develop intelligent agents that enhance decision-making, data accessibility, and business efficiency.

Teh Siew Yee: Teh Siew Yee is a data analytics and transformation expert with over 25 years of experience across technology, banking, and manufacturing industries. He has held leadership roles at Hewlett-Packard, Standard Chartered Bank, and TikTok, specializing in AI governance, data management, and business intelligence. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and a Bachelor of Engineering (Electrical and Electronic) from NTU. He is also an ACLP-certified trainer known for bridging data strategy with organizational innovation.

In “Mastering AI Agentic RAG and Workflows with No Code,” Siew Yee helps professionals understand how to design and deploy AI-driven workflow systems using no-code automation tools. His lessons cover building RAG systems, connecting APIs, and using LLMs for intelligent data retrieval and decision support. By combining technical design with real-world business applications, he empowers participants to automate repetitive processes and transform data into actionable insights using AI agents.

Truman Ng: Truman Ng is a technology consultant, AI systems integrator, and cloud automation specialist with over two decades of experience in enterprise IT, DevOps, and digital transformation. A PMP, ACTA, and Huawei HCIE-certified professional, he has trained global teams in cloud deployment, cybersecurity, and AI workflow integration. Truman’s expertise lies in bridging infrastructure with intelligent automation, helping organizations design scalable and secure AI systems for modern enterprises.

In “Mastering AI Agentic RAG and Workflows with No Code,” Truman teaches learners how to connect AI reasoning models with automation platforms to build end-to-end intelligent systems. His sessions emphasize practical implementation—integrating OpenAI APIs, vector databases, and workflow orchestrators without coding. By combining hands-on demonstrations with architectural best practices, he enables participants to deploy secure, production-ready agentic AI workflows tailored to enterprise environments.

James Lee Kin Nam: James Lee is an experienced IT and multimedia educator with over 20 years of expertise in creative technology, automation, and productivity tools. An Adobe Certified Expert and ACLP-qualified instructor, he has trained professionals in AI-powered design, digital storytelling, and workflow automation. His teaching approach merges visual creativity with emerging technologies, helping learners understand how AI can simplify and enhance modern work processes.

In “Mastering AI Agentic RAG and Workflows with No Code,” James focuses on making AI and automation approachable for non-programmers. His sessions guide learners through building intuitive, no-code RAG and agentic workflows using platforms such as Langflow, n8n, and Flowise. By combining creativity with structured automation, he empowers participants to design intelligent assistants that integrate generative AI, data retrieval, and task execution—boosting productivity and innovation across industries.

Customer Reviews (50)

Recommended 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 11/21/2025)

Recommended 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 11/21/2025)

Recommended 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 air conditioning in the room seems weak. . The corridor is cooler than it. Hence, the environment may not be as conducive.

Would be good if the required items to be installed are informed beforehand and the hardware requirements of the laptop mentioned too. That would help with less troubleshooting (Posted on 11/21/2025)

Recommended 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 11/21/2025)

Recommended 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 11/21/2025)

Recommended 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

Love this course. Woei Ming is knowledgeable and a great trainer. (Posted on 11/21/2025)

Recommended 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 11/21/2025)

Recommended 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 11/21/2025)

Recommended 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

Full filled the objective,Thank you for the deep understanding of Agentic AI framework (Posted on 11/21/2025)