Artificial Intelligence in Broad Strokes
About This Course
Introduction to AI and ML
Participants will be introduced to various popular buzzwords and demystify terms such as machine learning, artificial intelligence, neural networks, and deep learning.
AI state of the art
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 utilize 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.
What You'll Learn
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.
Entry Requirements
Diploma holders with basic computer literacy and no advance preparation is required.