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  • WSQ - Build LLM Applications Using Flowise and LangChain

WSQ Develop Large Language Model (LLM) Applications with OpenAI API and Langchain

WSQ - Build LLM Applications Using Flowise and LangChain

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This course equips learners with the skills to understand, design, and implement Large Language Model (LLM) applications for real-world use. Beginning with an overview of LLMs, participants will explore what LLMs are, identify opportunities for their use, and analyze key business and industry use cases.

Learners will then gain hands-on experience in building applications with Flowise, learning its core features to design single-agent workflows with Chatflow and multi-agent systems with Agentflow—all through an intuitive, low-code interface.

Next, the course focuses on LLM application development with LangChain, where learners will use chains to build dynamic applications and create agentic workflows that integrate multiple components.

Finally, participants will dive into Retrieval Augmented Generation (RAG), understanding how it enhances LLMs with external data sources. They will learn to design and build RAG applications with LangChain, ensuring more accurate and context-aware outputs.

By the end of this course, learners will be equipped to confidently create scalable, efficient, and intelligent AI solution.

Learning Outcomes

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

  • LO1: Identify Large Language Model (LLM) opportunities and perform feasibility scans.
  • LO2: Utilize OpenAI API to integrate data and develop LLM applications.
  • LO3: Peform tests in Langchain to verif LLM applications between disparate components and their functioning.
  • LO4: Resolve technical issues in Langchain and implement modifications to LLM applications.

Course Brochure

Download WSQ - Develop Large Language Model (LLM) Applications with OpenAI API and Langchain Brochure

Skills Framework

This course follows the guideline of Applications Integration ICT-DIT-3003-1.1 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
$900 $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-2023036646)
  • 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-2023036646

Fee

$900.00 (GST-exclusive)
$981.00 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Course Date

Course Time

* Required Fields

Course Information

  • Session (days): 2
  • Duration (hrs): 16
  • Level: Beginner to Intermediate
  • 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.
  • Venue:

    All courses except hydroponics courses:

    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.


    Hydroponics courses:

    MEOD Farm 13 Neo Tiew Harvest Ln, Singapore 719838

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 Large Language Model (LLM)

  • What is Large Language Model?
  • Opportunities LLM applications
  • Use cases of LLM applications

Topic 2 Building LLM Applications with Flowise

  • Flowise and Features
  • Assistance and LLM
  • Build Single Agent Workflow with Chatflow
  • Build Multi Agent Workforce wit hAgentflow

Topic 3 LLM Application Development with LangChain

  • Buiild LLM Application with Chains
  • Build Agentic Workflows with Langchain

Topic 4 Build RAG Application with LangChain

  • Overview of Retrieval Augmented Generation (RAG)
  • Buiild RAG Applications with Langchain

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.

Target age group: 21-65 years old.

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

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
  • 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

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

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

  1. The candidate has the right to disagree with the assessment decision made by the assessor.
  2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
  3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
  4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
  5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
  6. 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.
  7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
  8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
  9. The assessor can help the candidate with writing and lodging the appeal.
  10. he assessment manager will collect information from the candidate & assessor and give a final decision.
  11. A record of the appeal and any subsequent actions and findings will be made.
  12. An Assessment Appeal Panel will be formed to review and give a decision.
  13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
  14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
  15. Please click the link below to fill up the Candidates Appeal Form.

Job Roles

  • NLP (Natural Language Processing) Engineer
  • Machine Learning Engineer
  • AI Application Developer
  • Chatbot Developer
  • AI Research Scientist
  • AI Product Manager
  • Data Scientist specializing in text data
  • Conversational AI Designer
  • AI Integration Specialist
  • Language Model Trainer
  • Content Personalization Engineer
  • AI Platform Engineer
  • Cognitive Computing Specialist
  • AI Technical Consultant
  • AI Software Architect

Trainers

Tan Woei Ming: Tan Woei Ming is a data scientist and AI engineer with more than 15 years of experience in machine learning, deep learning, and intelligent automation. With a Master’s in Intelligent Systems from the National University of Singapore and a First-Class Honours in Electrical and Electronic Engineering from NTU, he has led multiple AI projects in predictive analytics and image recognition at Micron Semiconductor Asia. His expertise lies in developing data-driven solutions that integrate large language models (LLMs), neural networks, and computer vision technologies.

In “Build LLM Applications Using Flowise and LangChain,” Woei Ming helps learners understand how to design, implement, and deploy intelligent systems that leverage LLMs for real-world problem-solving. His sessions cover building modular AI pipelines, integrating Flowise for workflow orchestration, and using LangChain for context-aware reasoning. With his strong technical foundation, he enables participants to bridge data science with generative AI development for industrial and enterprise applications.

Yeo Hwee Theng: Yeo Hwee Theng is a data and AI strategist with extensive experience in enterprise analytics, data product design, and applied AI solutions. As the Data & Analytics Product Lead at Amplify Health, she drives AI adoption and data transformation initiatives across the healthcare sector. Her previous roles include AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot, where she led projects in large-scale machine learning deployment. She holds a Master of Technology in Enterprise Business Analytics from NUS and an Advanced Certificate in Learning and Performance (ACLP).

In “Build LLM Applications Using Flowise and LangChain,” Hwee Theng teaches professionals how to harness the power of LLMs for data-driven innovation and automation. Her sessions focus on structuring conversational AI, managing prompt engineering workflows, and integrating LangChain with business data systems. By combining strategic data design with practical implementation, she equips learners to build enterprise-grade AI applications that enhance decision-making and operational intelligence.

Teh Siew Yee: Teh Siew Yee is a data analytics and digital transformation leader with over 20 years of experience in IT, banking, and manufacturing sectors. He has held senior leadership roles at organizations including Hewlett-Packard, Standard Chartered, and TikTok, leading teams in AI governance, analytics, and business transformation. He holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and a Bachelor of Engineering from NTU.

In “Build LLM Applications Using Flowise and LangChain,” Siew Yee focuses on helping participants understand how to design scalable AI systems that combine LLM reasoning with data analytics workflows. His sessions explore the integration of LangChain with enterprise databases and Flowise automation pipelines. By linking technical design with strategic business outcomes, he empowers learners to deploy AI solutions that improve productivity, insight generation, and customer engagement.

Truman Ng: Truman Ng is a senior cloud and AI infrastructure specialist with more than two decades of experience in enterprise IT, cybersecurity, and automation. A PMP, ACTA, and Huawei HCIE-certified professional, he has trained global teams in cloud computing, AI system integration, and DevOps workflows. His expertise lies in architecting hybrid AI infrastructures that combine scalability, performance, and security for real-world enterprise deployment.

In “Build LLM Applications Using Flowise and LangChain,” Truman provides technical guidance on integrating LLM-based AI systems within secure cloud and enterprise environments. His sessions emphasize automation pipelines, data orchestration, and performance optimization for AI workflows. By merging infrastructure knowledge with AI engineering, he helps learners build robust, scalable, and production-ready applications using Flowise and LangChain.

James Lee Kin Nam: James Lee is a veteran digital media and IT educator with over two decades of experience in multimedia design, creative technology, and digital transformation. An Adobe Certified Expert and ACLP-qualified instructor, he has helped professionals and organizations adopt AI and automation tools to enhance productivity and innovation. His teaching approach blends creativity with technical application, making complex technologies accessible to a wide range of learners.

In “Build LLM Applications Using Flowise and LangChain,” James introduces learners to the creative and practical applications of LLMs in content generation, workflow automation, and AI-powered communication. His sessions highlight visualizing data interactions, designing user-friendly interfaces for AI tools, and integrating LangChain into creative workflows. By combining design thinking with AI tool mastery, he helps participants unlock the potential of generative AI in building intelligent, user-centric applications.

Customer Reviews (21)

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The use of Google Meet is not conducive for learning. Zoom is preferred as it allows for multiple screens to be presented. (Posted on 12/17/2025)
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. (Posted on 11/5/2025)
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.The last two chapters of the course was rushed through, though they were also most important to me. (Posted on 1/1/2025)
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. (Posted on 10/9/2024)
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. (Posted on 7/18/2024)
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. (Posted on 3/12/2024)
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. (Posted on 3/12/2024)
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/ (Posted on 3/12/2024)
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. (Posted on 3/12/2024)
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. (Posted on 3/12/2024)
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Group activities can be more directed and challenging, instead of just changing values from a given template (Posted on 3/12/2024)
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. (Posted on 1/16/2024)
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Up-to-date use cases for LLMs as to understand better how it is currently used as well as to give ideas on how it can be used. Jet provided quite good examples. (Posted on 1/16/2024)

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About Us

Tertiary Infotech Academy, established in 2012, is a leading skills-based training provider dedicated to supporting Singapore’s Industry 4.0 transformation. We are a registered Private Education Institute (PEI), offering Diploma and Advanced Certificate programs in Cyber Security and Artificial Intelligence.

As a strong advocate for professional and lifelong learning, we are a WSQ and IBF Approved Training Organisation (ATO). We also serve as an Authorized Training Partner for major global technology and certification bodies, including Microsoft, CompTIA, AWS, Pearson VUE, Autodesk, Linux Foundation.

In addition, our academy is both a Pearson VUE, Kryterion, PSI Authorized Test Centers enabling learners to access industry-recognized examinations in a convenient and professional environment.

Training Grants and Subsidies

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
PSEA: Individual can pay using using their Post Secondary Education Account

Authorised Training Partners
1

Microsoft Learning Partner

2

CompTIA Authorised Delivery Partner

3

Linux Foundations Authorised Training Partner

4

AWS Authorised Training Partner (Reseller)

5

Autodesk Authorised Training Center

6

Pearson Vue Authorised Training Partner

Authorized Testing Centers
1

Pearson VUE Authorised Test Center

2

Kryterion Authorized Testing Center

3

PSI Authorized Testing Center

Approved Training Organizations
1

WSQ Approved Training Organization

2

Institute of Banking & Finance (IBF) Approved Training Provider

3

Singapore Chartered Accountant (SAC) Accredited Training Organisation

4

Approved Private Educational Insitutes (PEI)

Approved Suppliers
1

GeBiz Registered Supplier

Regional Training Centers
1

Singapore (Headquarter)

2

Malaysia Kuala Lumpur and Penang

3

Bhutan

4

India

5

Ghana Accra

6

Nigeria Lagos

Contact Us Information

+65 6100 0613

whatsapp

https://wa.me/6588666375

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enquiry@tertiaryinfotech.com

Training Centers venue :
12 Woodlands Square, #07-85/86/87, Woods Square Tower 1, Singapore 737715 (Disabled-Friendly) .

Mailing address:
12 Woodlands Square, #07-86, Woods Square Tower 1, Singapore 737715

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