Course description

This course will allow you to 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. You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research.

Course details

Hours: 24
Credits: 1
Prerequisites: None
Corequisites: None

Additional information: This course is offered through ed2go. Find out more about ed2go.

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Dates
Day/Time
Delivery
Campus
Cost
Availability
Starts: Jan. 14, 2026
Ends: Mar. 16, 2026
Day/Time:
Delivery: Online - Asynchronous
Campus: Online
Cost: $224.00
Starts: Feb. 11, 2026
Ends: Apr. 13, 2026
Day/Time:
Delivery: Online - Asynchronous
Campus: Online
Cost: $224.00
Starts: Mar. 18, 2026
Ends: May. 18, 2026
Day/Time:
Delivery: Online - Asynchronous
Campus: Online
Cost: $224.00
Starts: Apr. 15, 2026
Ends: Jun. 15, 2026
Day/Time:
Delivery: Online - Asynchronous
Campus: Online
Cost: $224.00
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