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Short Course

Chat Models and Natural Language Processing

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
7 Aug, 8 Aug 2024 | 9am-5.30pm2Classroom LearningTGS-2023022215

Course Overview

This course provides a basic introduction to chat models and natural language processing (NLP), focusing on state-of-the-art techniques, architectures, and Artificial Intelligence (AI) applications. Students will learn about various NLP tasks, such as sentiment analysis, named entity recognition, and machine translation. They will also explore chatbot development using deep learning-based methods, with a focus on popular architectures like Transformers and GPT. The course will include hands-on exercises using popular NLP frameworks and libraries.

Course Objectives

By the end of the course, students will be able to:

• Understand the core concepts and techniques in NLP.

• Develop a solid understanding of state-of-the-art NLP architectures and methods.

• Gain hands-on experience in building chatbots and NLP applications using popular frameworks and libraries.

Prerequisites

Basic programming skills

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This programme is part of

  • Professional Certificate in ChatGPT, Advanced Chat Models, and Generative AI

    • Types of Available Fundings

  • SkillsFuture Credit
  • UTAP
  • PSEA
  • Enhanced Training Support
  • SFEC

    • Testimonials


    This ourse provided a great exposure to NLP models and an in-depth understanding of training.

    Quite useful.

    Instructors


    Dr Edmund Low

    Dr Edmund Low

    Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore. He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Programme Fee S$2,100.00 S$2,100.00 S$2,100.00 S$2,100.00 S$2,100.00
    Less: SSG Grant Amount S$1,470.00 S$1,470.00 S$1,470.00 S$1,470.00 -
    Nett Programme Fee S$630.00 S$630.00 S$630.00 S$630.00 S$2,100.00
    9% GST on Nett Programme Fee S$56.70 S$56.70 S$56.70 S$56.70 S$189.00
    Total Nett Programme Fee Payable, Including GST S$686.70 S$686.70 S$686.70 S$686.70 S$2,289.00
    Less Additional Funding - S$420.00 - S$420.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$686.70 S$266.70 S$686.70 S$266.70 S$2,289.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. GST shall apply at prevailing rates.
    3. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

    Other Information

    This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

    Connect with us

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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