edX
edXMachine Learning Operations with Amazon Web Services (MLOps with AWS)
139 studentsINTERMEDIATEEnglish
Korshub's take
Production ML: Building & Monitoring Systems
Training a model is one step; deploying it to generate real decisions is engineering. This course teaches you to build production ML systems on AWS: ingesting data, training models, automating scoring, and monitoring for failure.
You'll learn to detect data drift (when your input distribution changes) and model decay (when predictions degrade), keeping your system honest. The course also covers your role—how AI engineering fits into organizational structures and where humans stay in the decision loop.
For data scientists and engineers ready to move from notebooks to production systems that deliver real value at scale.
About this course
How to create a pipeline using AWS 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
$567
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