Professional Certificate in AI and Machine Learning Basics


AI and Machine Learning Begins With Me:
4 Oct, 6 Oct 2023 | 9am – 5.30pm | Online 

Octave Programming for AI, Machine Learning and Data Analytics:
20 Oct 2023 | 9am – 5.30pm | Online

Applied Artificial Intelligence:
15 Nov, 17 Nov 2023 | 9am-5.30pm | Online

Introduction to Rapidminer:
13 Oct 2023 | 9am-5.30pm | Online 

Duration: 6 Days

Course 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.

Course 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.

Course Convener 

(Click photo to view biography)

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.


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