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**AD-TEAM** · 01-26-2025, 01:19 PM

[Image: a7a921add7a3fe550ffb9e22da6bbf86.jpg]

AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 26m | 447 MB
Instructor: Milecia McGregor

Getting the AWS Certified Machine Learning - Specialty (MLS-C01) certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know how to use cloud tools, you can provide even more value in your role. In this course, author Milecia McGregor shares a mix of slides and demonstrations in AWS, along with some examples drawn from Visual Studio with Python. Milecia helps you prepare for the exam by showing you how to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed.

Learning objectives

Identify and implement data ingestion solutions with Kinesis.
Train and evaluate ML models.
Deploy ML models with AWS tools.

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