Natural Language Processing Fundamentals

Date: 21 Nov 2023 | 9am5.30pm | Online

Duration: 1 Day

Course Overview

Natural Language Processing (NLP) is one of the important subfields of Artificial Intelligence. It allows machines to understand human language and has a clear and impact on our lives. Even though this field has been around for a long time, it has become even more important in this information age not just from a research standpoint but also from a practical standpoint. This course will cover both the theoretical foundation and hands-on experience for learners who want to implement NLP applications. The course will also cover general strategies for improving the performance of NLP applications.

This course is part of Professional Certificate in Text Processing.

Course Objectives

This course will equip learners with the following competencies:

  • theoretical foundations to Natural Language Processing (NLP)
  • basic machine learning foundations to build NLP applications (such as text classifiers)
  • skills and intuition for building a NLP pipeline

    Who Should Attend

    AI/ML Executives and Engineers, Data Analysts


    • Diploma
    • Python programming skills

    Course Convener

    (Click their photos to view their short biographies)

    ddddd Lek Hsiang Hui

    Dr Lek Hsiang HuiDr Lek Hsiang Hui

    What Our Participants Say

    “Very informative course. Dr Lek is very knowledgeable and professional. Not only does he know what he is talking about, but he is capable of truly listening to the questions of the students and the answers provide truly insightful advice.”
    – Yu Zhiheng Samuel

    Course Fees

    Singapore Citizens
    39 years old or younger
    40 years old or older
    Singapore PRs
    Enhanced Training Support for SMEs
    International Participants

    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

    Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

    To enquire, email

    To register, click Register

    Course Codes
    TGS- 2022012348 (Classroom Learning)
    TGS-2022012353 (Synchronous e-learning)

    Course Fee Breakdown


    Singapore Citizens

    Singapore Citizens

    39 years old or younger

    Singapore Citizen

    40 years old or older
    Singapore PRs
    Enhanced Training Support for SMEs
    International Participants

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