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Professional Certificate

Professional Certificate in AI and Machine Learning Basics

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
AI and Machine Learning Begins with Me20 Aug, 21 Aug 2024 | 9 am - 5.30 pm (PC in AI and Machine Learning Basics)Classroom LearningTGS-2020506039
Octave Programming for AI, Machine Learning and Data Analytics27 May 2024 | 9 am - 5.30 pmSynchronous e-LearningTGS-2020504956
Applied Artificial Intelligence10 Jun, 11 Jun 2024 | 9am - 5.30pmSynchronous e-LearningTGS-2020504369
Introduction to Rapidminer18 Jun 2024 | 9 am - 5.30 pm (PC in AI and Machine Learning Basics)Synchronous e-LearningTGS-2022012285
Duration 6 days

Programme Overview

This course provides a combination of theory and practice for participants and will articulate the fundamentals of AI and Machine Learning. Participants will also learn how to deploy AI and Machine Learning in real-world business environments.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Articulating AI and Machine Learning definitions, approaches, and applications.
  • Understanding AI’s advantages, constraints, and the future.
  • Having basic skills in Octave programming to model the simple AI modules.
  • Understanding basic AI techniques to handle real-world problems.
  • Learning basic skills to use Rapidminer in the machine learning area.

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively/ It will prepare learners for the following job roles:

  • AI and Machine Learning apprentice
  • AI and Machine Learning executives
  • Business transformers
  • Industry transformers
  • Business advisors/analysts

Who Should Attend

  • Almost all the businesses and industries that would like to employ AI and Machine Learning professionals.
  • All the businesses and industries that are going to transform their business model into an AI-driven one.
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This programme is part of

  • Advanced Professional Certificate in Applied Artificial Intelligence and Machine Learning

    • Types of Available Fundings

  • SkillsFuture Credit
  • PSEA
  • Enhanced Training Support
  • SFEC

    • 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.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$1,798.50 S$698.50 S$1,798.50 S$698.50 S$5,995.00
    1. Total Nett Programme Fee Payable, Including GST, after additional funding from the 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. GST shall apply at prevailing rates.

    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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