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Course Description

Introduction to Machine Learning| Learn about specific techniques used in supervised, unsupervised, and semi-supervised learning, including which applications each type of machine learning is best suited for and the type of training data each requires. Discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Explore some of the most significant areas in the field of machine learning research. CEUs awarded. $145 includes $111 fee. This is an asynchronous online course, offered in partnership with ed2go. Students must follow all steps to gain access to the course at https://www.ed2go.com/aacc/

Learner Outcomes

Identify specific techniques used in supervised, unsupervised and semi-supervised learning;

Identify which applications each type of machine learning are best suited for and the type of training data each requires;

Recognize how to differentiate offline and online training and predictions, automated machine learning and how the cloud environment affects machine learning functions; 

Review some of the most significant areas in the field of machine learning research.

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Enroll Now - Select a section to enroll in

Section Title
Introduction to Machine Learning
Type
Online
Dates
Jul 15, 2026 to Oct 02, 2026
Schedule
Location
  • Off Campus
Registration Fee
Drop Request Deadline
Jul 14, 2026
Section Transfer Request Deadline
Jul 14, 2026
Instructors
  • David Iseminger
Section Title
Introduction to Machine Learning
Type
Online
Dates
Aug 12, 2026 to Oct 02, 2026
Schedule
Location
  • Off Campus
Registration Fee
Drop Request Deadline
Aug 11, 2026
Section Transfer Request Deadline
Aug 11, 2026
Instructors
  • David Iseminger
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