edX
edXMachine Learning Operations with Microsoft Azure (MLOps with Azure)
201 studentsINTERMEDIATEEnglish
Korshub's take
From Data to Decisions on Azure
A machine learning pipeline isn't magic—it's plumbing: ingest, train, score, monitor. This course shows you how to build that plumbing on Azure and keep it running.
You'll construct end-to-end pipelines that transform raw data into live predictions, implement continuous monitoring for data drift and output anomalies, and define your organization's AI engineering role so models don't languish as research projects.
Practical focus on operationalization—the difference between a demo and a system your business depends on.
About this course
How to create a pipeline using Azure to ingest data to train a predictive model and feed it as it operates. ,How to have the model score the data on an ongoing automated basis. ,How to design the pipeline to output a decision or action variable. ,How to continuously monitor several points of operation, including the incoming data (for data drift) and the decision outputs (for anomalies). ,How to forge an appropriate AI engineering role in your organization.
Price
$617
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