NUS
 
ISS
 

Conversational UIs

Overview

Reference No TGS-2020001447
Part of Graduate Certificate in Practical Language Processing
Duration 4 days
Course Time 9.00am - 5.00pm
Enquiry Please contact ask-iss@nus.edu.sg for more details.

In the fast-paced world today, consumers and users expect instant access to information and support around the clock, and businesses are increasingly turning to chatbots to meet this demand. Chatbots powered by advanced natural language processing technologies can understand and respond to customer inquiries in a human-like manner, creating interactive and responsive experiences for customers, addressing their questions and resolving issues promptly without the need for human intervention. This not only enhances customer satisfaction by providing immediate assistance but also streamlines operations and reduces the workload on customer service teams.

Unlock the potential of conversational AI with our course to dive into chatbot design and development. Elevate your expertise in speech processing for voice-enabled chatbots, and explore the power of GenAI and Large Language Models (LLMs) in crafting intelligent, engaging conversations for intuitive user interaction.

Upcoming Classes

Class 1 20 Sep 2025 to 11 Oct 2025 (Full Time)

Duration: 4 days

When:
Sep:
20(Sat), 27(Sat)
Oct:
04(Sat), 11(Sat)
Time:
09:00am to 05:00pm



Course Content

  • Introduction to chatbots and conversational AI
  • Conversation design principles and best practices
  • Evaluating and measuring chatbot effectiveness
  • Natural Language Processing (NLP) for chatbots
  • Understanding user intent and generating responses with LLMs
  • Speech processing fundamentals and LLM-based approaches: speech-to-text, text-to-speech, and dialogue management
This course is part of the Artificial Intelligence, Data Science and Graduate Certificate Programme in Practical Language Processing offered by NUS-ISS.

Key Takeaways

  • Master the art of conversation design for engaging user interactions.
  • Evaluate and refine conversational systems to optimise user experiences.
  • Leverage Large Language Models for user utterance comprehension and dynamic response generation.
  • Hone your skills in speech processing, from recognition to synthesis and dialogue systems.



    Who Should Attend

    • System Developers & AI Engineers: Enhance your skills in building and integrating AI-powered chatbots into applications.
    • Data Scientists: Gain expertise in LLM-based conversation and speech processing.
    • Entrepreneurs: Leverage intelligent chatbots for business growth. 



    Prerequisites

    • Possess foundational knowledge in text processing and predictive modelling with text data (at the level of Text Analytics course offered by NUS-ISS).
    • Competent in Python programming, familiar with packages like Numpy, Pandas, Scikit-Learn.
    • Experienced in using Jupyter Notebooks, Google Colab, and well-versed in package installation.



    Course Logistics

    • No Printed Materials: Course materials are accessed digitally. Do kindly note that no printed copies of course materials will be issued.
    • Device Requirements: Bring an internet-enabled device (laptop, tablet, etc) with power chargers to access and download course materials.

    If you are bringing a laptop, kindly refer to the table below for the recommended tech specs:

     

    Minimum

    Recommended

    Operating Systems

    • Windows 7 and above
    • Mac OS

    Laptop running the latest
    version of either Windows or
    Mac OS

    System Type

    32-bit

    64-bit

    Memory

    8 GB RAM

    16+ GB RAM

    Hard Drive

    256 GB disk size

     

    Others

    • An internet connection – broadband wired or wireless
    • Installation permissions (non-company laptops)
    • Keyboard
    • Mouse/Trackpad
    • Display
    • Power adapter (laptop battery might run out)

    DirectX 10 graphics card for graphics hardware acceleration

     
     



    Fees & Subsidies

    Fees for 2024
      Full Fee Singaporeans & PRs
    (self-sponsored)
    Full course fee S$3600 S$3600
    ISS Subsidy  - (S$360)
    Nett course fee S$3600 S$3240
    9% GST on nett course fee S$324 S$291.60
    Total nett course fee payable, including GST S$3924 S$3531.60
    Note:
    1. All fees and subsidies are valid from January 2024, unless otherwise advised.
    2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
    3. From 1st January 2024, the GST will be increased to 9%.



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    Certification

    Certificate of Completion
    Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.



    Join Us

    Elevate your UI with conversational AI. Register now to build intelligent chatbots.




    Preparing for Your Course

    NUS-ISS Course Registration Terms and Conditions

    Find out more.

    NUS-ISS and Learner’s Commitment and Responsibilities

    Find out more.

    WIFI Access

    WIFI access will be made available to participants.

    Venue

    NUS-ISS
    25 Heng Mui Keng Terrace
    Singapore 119615

    Click HERE for directions to NUS-ISS

    In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

    Course Confirmation

    All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

    General Enquiry

    Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.




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