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Professional Certificate

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

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
ChatGPT and its Applications6 and 7 January 2025 | 9 am - 5.30 pmClassroom LearningTGS-2023022212
Generative Artificial IntelligenceTo be advisedClassroom LearningTGS-2023022203
Chat Models and Natural Language ProcessingTo be advisedClassroom LearningTGS-2023022215
Duration 6 days

Programme Overview

More than 40 years ago, Alvin Toffler had mentioned that robotic literacy will be a necessity in the future. Now we are on that supposed future. Nowadays, robots are not only physical, R2D2 style, but advanced software apps, like the ChatGPT.

This is the first time that many of us experience the Artificial Generative Intelligence, or a touch of Artificial General Intelligence, nevertheless, it won’t be the last time. Many of such robots will be around very soon. ChatGPT and its Applications course can be useful for individuals who are interested in learning about the capabilities and potential applications of chatbot models like ChatGPT, how it works, its applications, and how we can use it efficiently. This is a new realm, so, join us to explore it together.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Understand ChatGPT and its major components, including its architecture and key functionalities.
  • Utilise ChatGPT for decision-making, predictive data analysis, and as an advisor or virtual assistant.
  • Customise and fine-tune ChatGPT for specific business needs and industry requirements.
  • Recognise the strengths, weaknesses, risks, and limitations of ChatGPT
  • Gain knowledge of generative AI models, such as GANs, VAEs, and Transformer-based architectures like GPT, and apply the knowledge gained to implement generative models
  • Develop a solid understanding of NLP concepts and techniques, and apply them practically to build chatbots and NLP applications.
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Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Dr Ai Xin

    Dr Ai Xin

    Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

    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.

    Dr Sanka Rasnayaka

    Dr Sanka Rasnayaka

    I am a lecturer at the School of Computing, National University of Singapore.

    My teaching philosophy is to facilitate self-learning by guiding students' thinking towards the final learning outcome, rather than explaining to them how to get there. I enjoy teaching fundamental courses in Computer Science like Discrete Structures, Programming, Algorithms and specialised courses in AI, Machine Learning and Computer Vision.

    My research interests are on Continuous Authentication for modern personal devices, on-body gait biometric, privacy and human perceptions.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$1,863.90 S$723.90 S$1,863.90 S$723.90 S$6,213.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Advanced Computing for Executives

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

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