Introduction to AI and Machine Learning

There has been renewed interest learning in artificial intelligence (AI) and machine learning in recent years. This is fuelled by the recognition that data generated contains a wealth of information that could be distilled from it. This course helps to provide an introduction to the fundamentals of AI and machine learning and how it could impact your work. The course also imparts practical skills on how to apply machine learning without requiring coding.

This course aims to introduce artificial intelligence (AI) and machine learning (ML). The course focuses on learning how to apply AI and ML to solve real-life problems. Through practical sessions, participants will experience the setting up and use of a simple machine learning tools that do not require coding.

At the end of this course, the participants will be able to:

• Distinguish AI from machine learning, and deep learning
• List some AI use cases
• Compare supervised with unsupervised machine learning
• Frame a business problem to be solved using AI and Machine Learning
• Build a working machine learning model using low-code/no-code AI tools

This course is targeted at professionals who wish to experience setting up a simple AI and machine learning system to solve real-life problems.

Prerequisites
Basic experience and knowledge in networking, system administration and understand security concepts.

• Data Science & AI: Machine Learning

• Computational Scientist
• AI Engineer

This course is deliver via virtual instructor led mode and will cover the following topics:

• Introduction to Artificial Intelligence and Machine Learning
• Use cases for Artificial and Machine Learning
• Online/cloud-based machine learning tools
• Supervised learning applications
• Unsupervised learning applications

^{With effect from 1 Jan 2023 till 31 Dec 2023}