| Description |
This is an introductory Online Training (OLT) course on the Machine Learning (ML) subfield of Artificial Intelligence (AI). The course provides education on Machine Learning (ML) definitions, use cases, methodologies, and the ML operational process (MLOps).
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Objectives
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Download Course Objectives
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Target Attendees
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Acquisition workforce professionals in all functional areas responsible for acquiring and/or maintaining Artificial Intelligence technology and/or those requiring currency on emerging technologies. Suitable for both non-technical and technical audiences who will work on an AI project.
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Prerequisite(s)
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None
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Predecessor Course(s)
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| Predecessor |
Predecessor Course Title |
PDS Code |
Expires On |
| None |
None |
None |
None |
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Course Length
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Approximately 1 hour to complete
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Additional Course Information
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| Delivery Mode |
Online Training
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| Equivalent Courses |
N/A |
| Availability |
All
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| PDS Code |
H2W |
| Walk-ins Authorized |
N/A
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| Pre-work required |
No
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| First Offering |
8/30/2023
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| ACE Recommended Credits |
N/A |
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Continuous Education Units |
0 |
| Continuous Learning Points |
1 |
| Reservist Retirement Points |
0 |
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Historical Allocations |
Mouse Over for Past CEU/CLPs
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| Fulfillment Eligible |
N/A
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| Technical Requirements |
Click Here |
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Notes
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- Any exams in this course must be passed with a minimum score of 80%.
- There is no time limit for completing this course.
- After completing the course, please be sure to complete the survey at the end.
- The CLPs assigned to this learning activity may be used to meet professional certification and/or licensure requirements (PDUs/CPE credits).
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