Chartered Fintech Professional (cftp) Level 1b Training Module 3: Artificial Intelligence and Machine Learning (synchronous E-Learning)

At the end of the 3-day module, participants will be able to:

• Understand the brief evolution of AI and the relationship between artificial intelligence (AI), machine learning (ML), and deep learning (DL)
• Understand why AI has seen significant effectiveness and progress over the last decade
• Understand the concepts of probability theory and information theory
• Understand the concepts and applications of association analysis, Apriori algorithm, hierarchical and K-means clustering, principal component analysis (PCA)
• Understand the concepts, interpretation, estimation, and applications of linear regression and logistic regression

What You'll Learn

Module 3 provides an overview of artificial intelligence (AI), machine learning (ML), and deep learning (DL). It begins by defining AI and discussing its brief evolution. It then explains the relationship between AI, ML, and DL, and why AI has seen significant effectiveness and progress over the last decade. The module will also cover the concepts of probability theory and information theory, which are essential for understanding ML. It then discusses the most important general principles of ML, such as supervised learning, unsupervised learning, and reinforcement learning, as well as applications of association analysis, hierarchical clustering, K-means, and principal component analysis (PCA). These are all ML techniques that can be used to extract patterns and insights from data. The concepts and applications of linear regression and logistic regression are also covered. These are two of the most important machine learning techniques for making predictions. Participants will learn how to construct linear regression and logistic regression models, and how to interpret the results of these models.

Minimum Entry Requirement

No prerequisites, but participants are strongly encouraged to go through the assigned pre-reading materials and videos, especially if one does not have any prior learning or working knowledge in the subject matter of this Module.

If the participant intends to register for the Chartered Fintech Professional examination following the completion of this training course, do note that an undergraduate degree from a recognised university or equivalent professional qualification is a compulsory enrolment requirement.