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ProServ

Overview

Course overview Level: Intermediate Type: Virtual Classroom Length: 3 days

Learning objectives

How to deploy your own models in the AWS Cloud
How to automate workflows for building, training, testing, and deploying ML models
The different deployment strategies for implementing ML models in production
How to monitor for data drift and concept drift that could affect prediction and alignment with business expectations

Intended audience

ML data platform engineers
DevOps engineers
SysOps staff operationalizing ML models

Sold by	XPeppers - A Claranet Group Company
Categories	Training
Fulfillment method	Professional Services

Training provided by AWS Authorized Instructors (AAIs). Italian language.
Extensive calendar of public classes, always up to date with the latest AWS Training news. Ability to request private sessions with ad hoc dates.
As an AWS Training & Consulting Partner, XPeppers trainers are both qualified teacher and experienced consultants, engaged on projects and able to answer questions about real-world situations.

ML learning path

Pricing Information

Support

Contact us for more information: training@xpeppers.com