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Machine Learning Algorithms and Frameworks

Course number : EEAS-0122    Section Number : E01
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Students will receive an introduction to common machine learning (ML) algorithms and how each supports different learning types in AI fields. Additionally, there is a growing body of ML frameworks and engines available to practitioners. Participants will gain a broad understanding of commonly available frameworks and engines used to design, implement, test, and deploy ML solutions on various digital platforms, and learn how to choose how to apply them in real-world and workplace situations.

Class Details

1 Session(s)
Online 24/7

Location
NA - Online

Instructor
Briana Brownell 

CEUs : 3

 

Notice

Please read:  Additional Course Information Please be advised that this 6-week course is entirely online and can be completed remotely. This course includes biweekly virtual online meetings (synchronous sessions), which are optional to attend. The dates and times of these synchronous sessions, to be held once every two weeks, will be updated closer to the course start date.

Tuition: 

$828.00


Registration Closes On
Sunday, March 23, 2025 @ 11:59 PM

Schedule Information

Date(s) Class Days Times Location Instructor(s) Instructional Method
3/17/2025 - 4/28/2025 Online 24/7 12:00 AM - 12:00 AM N/A - Online Briana Brownell  Online

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