Artificial Intelligence in Broad Strokes

Overview

Artificial Intelligence (AI) / Machine Learning (ML) is fast becoming a crucial part of business processes and is touted to be the key to successful digital transformation. 

However, these phrases remain buzzwords to many business executives. Without a basic understanding of AI/ML, the participation of these key personnel will be limited, and such digital transformations may fall short.

This 2-day course is for business/non-technical managers or executives, and it seeks to introduce and demystify these machine learning concepts.

The objective of this course is to equip business managers and executives with the foresight and relevant technical grounding to transform their businesses digitally.

Who Should Attend

• Senior managers, innovation officers, and executives looking to inject AI techniques within their organisation’s work processes

• Managers, executives and professionals in both ICT and non-ICT domains interested in getting an exposure to ML in broad strokes to stay up to date with today’s technology

Prerequisites

• Basic computer literacy and no advance preparation is required

What You Will Learn

Introduction to AI and ML

• Participants will be introduced to various popular buzzwords

• Terms such as machine learning, artificial intelligence, neural networks, and deep learning will be demystified

State-of the-art AI

• Participants will be exposed to state-of-the-art technologies in AI (e.g., object detection, natural language processing, etc.) across sectors such as finance, human resource, etc.

• Participants will appreciate that AI is not a silver bullet and there are still many limitations that AI is unable to solve

• Participants are expected to submit a proposal how AI might possibly be applied in their workplace

AI Strategy, Expectations and Considerations

• Participants will be exposed to several AI strategies relevant to their firms during digital transformations

• Based on the proposal, participants will carry out some pen-and-paper exercises to design ML applications

Hands-on with ML

• From the pen-and-paper exercises in lesson 3, participants will utilise a visual programming environment to create an ML prototype via drag-and-drop interactions without code

Social Implications

• Participants will discuss possible social and ethical implications of AI, such as ethics in decision making, bias, and privacy

Certificate and Assessment

A Certificate of Participation will be issued to participants who

• Attend at least 75% of the course

• Undertake and pass non-credit bearing assessment during the course