Implementing and Operating AWS Machine Learning Solutions

Training a machine learning model is only the first step. This course will teach you how to deploy, monitor, and scale your machine learning solution in preparation for the Machine Learning Specialty exam.
Course info
Level
Advanced
Updated
Jun 1, 2020
Duration
1h 56m
Table of contents
Description
Course info
Level
Advanced
Updated
Jun 1, 2020
Duration
1h 56m
Description

Machine Learning Implementation and Operations is one of the four domains covered by the AWS Machine Learning Specialty certification exam. In this course, Implementing and Operating AWS Machine Learning Solutions, you’ll learn key areas from this domain that are covered in the exam. First, you’ll explore the different AWS services that can support a machine learning solution in production. Next, you’ll discover how to deploy and scale a machine learning model with Amazon Sagemaker. Finally, you’ll learn how to implement security best practices for your machine learning solution with AWS. When you’re finished with this course, you’ll have the skills and knowledge in this domain needed to prepare for the AWS Machine Learning Specialty certification exam.

About the author
About the author

David is a Webby Award winning cloud development consultant that focuses on cloud native web, mobile, and IoT applications. He has over 15 years of experience building digital solutions.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hello, everyone. My name is David Tucker and welcome to the course implementing and operating AWS Machine Learning Solutions. I'm a CTO consultant, and I help organizations everyday plan build and implement custom software and data solutions in the cloud I have over 15 years of experience in software, architecture and development. The machine learning implementation and operations is one of the four domains covered by the AWS Machine Learning Specialty Certification Exam. In this course implementing and operating AWS Machine Learning Solutions, you'll learn key areas from this domain that are covered in the exam. Now, when working in machine learning training, a model is on Lee. The first step in this course I will teach you about what happens when you're ready to deploy the model that you've created. First, you'll explore different AWS services that can support a machine learning solution in production. Next, you'll discover how to deploy and scale a machine learning model with Amazon Sage maker. Finally, you'll learn how to implement security best practices for your machine learning solution with eight of us. When you're finished with this course, you will have the skills and knowledge in this domain that you need to prepare for the eight of US Machine Learning Specialty certification exam