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Professional Certificate

Professional Certificate in AI for Maritime Industry

Programme Structure


Course NameCourse ScheduleMode of DeliveryTGS Reference Number
[Corporate Class] AI and Machine Learning Begins with Me6 and 7 May 2026 | 9 am - 5.30 pmClassroom LearningTGS-2025056135
[Corporate Class] ChatGPT and its Applications25 and 26 May 2026 | 9 am - 5.30 pmClassroom LearningTGS-2025056117
[Corporate Class] Role of Ethics in Artificial Intelligence1 and 2 July 2026 | 9 am - 5.30 pmClassroom LearningTGS-2025057638
  • Duration: 6 days
  • Please click on the individual courses for more details.
This professional certificate is offered in collaboration with the Singapore Maritime Foundation for maritime professionals.

Programme Overview

This professional certificate will equip learners with the following competencies:

  • Explain fundamental AI, Machine Learning, and Deep Learning concepts and their relevance to maritime industry.
  • Identify and evaluate AI use cases to address operational, safety, and business challenges within the maritime industry.
  • Apply generative AI tools such as Large Language Models (LLMs) effectively to support decision-making, analysis, reporting, and workflow automation in maritime contexts.
  • Assess the capabilities, limitations, and risks of AI systems, particularly in safety-critical and regulated maritime environments.
  • Understand and apply ethical AI principles, including fairness, transparency, explainability, and human-in-the-loop decision-making.
  • Develop governance-aware AI adoption strategies aligned with organisational policies and maritime regulatory requirements.
  • Communicate AI impacts, risks, and opportunities clearly to stakeholders across the maritime ecosystem.

Who Should Attend

Maritime professionals who are responsible for adopting, managing, or overseeing AI-enabled initiatives in the maritime industry.

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Funding Available

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

    • Instructors


    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 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 Prasanna Karthik Vairam

    Dr Prasanna Karthik Vairam

    Dr Prasanna Karthik Vairam is a Senior Lecturer at the National University of Singapore. His research areas include software engineering, security and privacy of Internet users, and AI Privacy. He has a Ph.D. in computer science from the Indian Institute of Technology, Madras (IIT Madras) and a M.Tech degree in computer science from the Indian Institute of Technology, Bombay (IIT Bombay). In the past, he was a part of Intel’s processor development team, involved in graphics processor design. At NUS, Prasanna was awarded the Faculty Teaching Excellence Award twice, for 2023 and 2024.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$3,009.00 S$1,989.00 S$3,009.00 S$1,989.00 S$5,559.00
    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. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
    4. Maximum Candidature Period: Candidates who enrol for the professional certificates must complete the programme within three years from the start of their course. 
    5. For more information on class cancellations and refunds, please visit our Terms and Conditions page. 

    NOTE
    We are moving towards offering a new portfolio of programmes. We will discontinue the offering of Advanced Professional Certificates (APCs) and Professional Certificates (PCs) by June 2026. Only a selected number of individual courses will continue to be offered. Please direct all enquiries to socx@nus.edu.sg