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WSQ - Build Agentic AI and NLP Applications with Langflow

WSQ - Build Agentic AI and NLP Applications with Langflow

WSQ Build Agentic AI and NLP Applications with Langflow equips learners with essential skills in Natural Language Processing (NLP) and agentic AI development. Participants will gain hands-on experience in performing text representation using word embeddings, language modeling, and machine learning-based text classification. The course also covers strategic methods to enhance memory networks in AI agents, providing a strong foundation in building intelligent, language-based systems.

Through step-by-step guidance on using Langflow, learners will explore how to build and deploy LLM-powered chatbots, Retrieval-Augmented Generation (RAG) systems, and multi-agent workflows. The course also introduces Streamlit for developing custom AI interfaces and MCP for scalable agent communication. This training is ideal for professionals looking to deepen their technical skills and apply AI in real-world use cases.

Learning Outcomes

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

LO1: Identify the tasks associated with natural language processing (NLP)
LO2: Perform text representation using word embedding
LO3: Perform language processing and modeling
LO4: Build text classification using machine learning
LO5: Determine strategies to enhance memory networks

Course Brochure

Download WSQ – Natural Language Processing (NLP) for Beginners Brochure

Skills Framework

This course follows the guideline of Text Analytics and Processing ICT-DIT-5029-1.1 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	$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-2020505109)

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-2020505109

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 Introduction to Agentic AI and Langflow

Overview of Agentic AI and LLM
Use Cases of Agentic AI and LLM
Build and Deploy Your Non Code LLM Powered Chatbot
Installation of Langflow
Explore Langflow Interface
Build and Deploy a Simple Agentic AI Flow with Langflow

Topic 2 Build a RAG with Langflow

Overview of Tokenization, Embedding and Vector Store
Introduction to Retrieval Augmented Generation (RAG)
Chucking Strategies
Best Practices of Using RAG
Build a RAG workflow with Langflow

Topic 3 Build an AI Agent with Langflow

Overview of AI agent fundamentals - tools, memories and LLM
Reasoning framework for AI agents
Build a sequential task multi agent workflow on Langflow
Build a travel planning agent workflow on Langflow

Topic 4 Build a Streamlit AI Chabot App

Streamlit fundamentals
Create a LLM chatbot with Streamlit
Create and deploy a text classifier with Streamlit

Topic 5 Model Context Protocol (MCP)

Overview of Model Context Protocol MCP
Create MCP Client and Server with Langflow
Deploy a Langflow MCP server

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 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:

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

NLP Engineer
Data Scientist (specializing in text data)
Machine Learning Engineer (NLP focus)
Computational Linguist
AI Research Scientist (language models)
Chatbot Developer
Text Mining Specialist
AI Solutions Architect (with NLP projects)
Conversational AI Designer
Search Algorithm Developer
Recommendation System Engineer (content-based)
Content Analysis Engineer
Information Retrieval Specialist
Machine Translation Developer
Speech Recognition Engineer.

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 intelligent automation. Holding a Master’s in Intelligent Systems from the National University of Singapore (NUS), he has led numerous projects involving predictive analytics, deep learning, and AI-driven process optimization within the semiconductor and manufacturing sectors. His expertise spans Python, PyTorch, TensorFlow, and Langflow, where he integrates NLP models with real-time applications to enable intelligent decision-making and automation.

In “Build Agentic AI and NLP Applications with Langflow,” Woei Ming teaches participants how to design and deploy modular AI systems using natural language processing (NLP) and Langflow’s low-code interface. His sessions emphasize practical implementation of agentic AI pipelines, workflow orchestration, and data processing. By blending theory with hands-on projects, he helps learners understand how to build adaptive AI agents that integrate language models into real-world business applications.

Teh Siew Yee: Teh Siew Yee is a digital transformation and analytics leader with over 20 years of experience in data science, artificial intelligence, and enterprise technology solutions. Having held senior roles at Standard Chartered, TikTok, and Hewlett-Packard, he brings deep expertise in AI governance, business intelligence, and cloud-based analytics. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and specializes in applying AI frameworks such as Langflow and LangChain to solve organizational challenges efficiently.

In “Build Agentic AI and NLP Applications with Langflow,” Siew Yee focuses on bridging AI theory with business problem-solving. His sessions cover the fundamentals of NLP workflows, LLM integration, and AI agent development using Langflow’s drag-and-drop interface. He guides learners in creating intelligent automation systems capable of handling complex reasoning, enabling organizations to unlock new productivity and innovation opportunities through agentic AI.

Truman Ng: Truman Ng is a cloud infrastructure and AI systems integration expert with over two decades of experience in enterprise IT, DevOps, and automation. Certified in PMP, ACTA, and Huawei HCIE, he has trained professionals globally in implementing AI workflows, multi-agent systems, and secure deployment architectures. His technical mastery lies in orchestrating AI pipelines across cloud platforms and connecting NLP systems to business data for real-time decision-making.

In “Build Agentic AI and NLP Applications with Langflow,” Truman teaches participants how to integrate Langflow-based AI agents within enterprise and hybrid cloud environments. His sessions focus on secure deployment, API connectivity, and multi-agent orchestration. Through a combination of technical depth and real-world application, he empowers learners to build scalable, production-ready AI workflows that bridge automation with human intelligence.

James Lee Kin Nam: James Lee is a veteran multimedia and digital communications educator with over 20 years of experience in creative technology, digital storytelling, and user experience design. An Adobe Certified Expert and ACLP-qualified trainer, he has guided professionals in using AI-powered tools to enhance content creation, automation, and digital communication. His strong foundation in visual design and information architecture allows him to translate complex AI and NLP concepts into accessible, engaging learning experiences.

In “Build Agentic AI and NLP Applications with Langflow,” James helps learners understand how AI-driven language systems can enhance human-computer interaction. His sessions focus on creating intuitive AI agent interfaces, designing user-centered conversational flows, and applying Langflow’s visual development tools to real-world communication systems. By merging design thinking with AI application, he enables learners to build intelligent, user-friendly agentic solutions.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a data engineer and AI workflow developer with expertise in automation, NLP, and analytics integration. Skilled in Power BI, Python, and Langflow, he has built AI-powered systems that enhance business intelligence and process efficiency across multiple industries. His approach combines data engineering, model deployment, and workflow automation to help organizations transition from data collection to intelligent decision-making.

In “Build Agentic AI and NLP Applications with Langflow,” Dwight focuses on the practical implementation of AI pipelines using Langflow and Python backends. His sessions cover prompt engineering, LLM integration, and automated response systems for NLP-driven applications. By guiding participants through hands-on exercises, he helps them develop adaptive AI agents that analyze, reason, and act autonomously in dynamic business environments.

Customer Reviews (29)

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

I put "might consider" because this beginners' course is not really for beginners. It seems like students from non-STEM backgrounds don't have the requisite knowledge to fully digest the course content. Also the course requires more than "basic" Python knowledge.
If I know of someone who can handle this course I will recommend to him/her.

Please avoid using images that can trigger phobia in some people. e.g. the images on slide 170 "GPT3 World record". especially the one on the left. Thank you. (Posted on 2/27/2022)

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

One question in the written assessment is quite misleading (Qns 12) and two question in practical assessment has no prior examples in the practice session (Part 3 and 5). Please consider adjusting for clarity purpose (Posted on 10/17/2021)