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Artificial Intelligence (AI) and Machine Learning (ML) technologies such as virtual assistants and recommender systems have changed our daily lives. This course mainly introduces some fundamentals of AI and ML including their relationship, different types of data, training and testing, common types of learning techniques (supervised and unsupervised learning) and applications (regression, classification, and clustering). Students will understand the fundamentals of AI and ML and solve some simple regression, classification and clustering problems.

Learning Description

Students will understand the fundamentals of AI and ML and solve some simple regression, classification and clustering problems in this online, asynchronous course.

Target Audience

Students with interest in fundamentals of AI/ML

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Title
Fundamentals of Artificial Intelligence and Machine Learning
Type
Online, self paced
Dates
Sep 01, 2025 to Aug 31, 2026
Fee(s)
Reg Fee non-credit $0.00
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