Part 2 of deploying your ML models to the cloud with SageMaker (MLOps) <div class="accordion"> <div class="accordion-item"> <hr /> <p>MLOps is deploying your ML models to the cloud. See <a href="https://madewithml.com/">MadeWithML</a> for an overview of tooling (also generally a great ML educational run-down.)</p> <ul> <li><a href="https://aws.amazon.com/sagemaker/">SageMaker</a></li> <li><a href= "https://aws.amazon.com/sagemaker/getting-started/">Jumpstart</a></li> <li><a href= "https://aws.amazon.com/sagemaker/deploy/">Deploy</a></li> <li><a href= "https://aws.amazon.com/sagemaker/pipelines/">Pipelines</a></li> <li><a href= "https://aws.amazon.com/sagemaker/model-monitor/">Monitor</a></li> <li><a href= "https://aws.amazon.com/sagemaker/kubernetes/">Kubernetes</a></li> <li><a href="https://aws.amazon.com/sagemaker/neo/">Neo</a></li> </ul> </div> </div>

Part 2 of deploying your ML models to the cloud with SageMaker (MLOps)    MLOps is deploying your ML models to the cloud. See  for an overview of tooling (also generally a great ML educational run-down.)

MLA 016 SageMaker 2

2021-11-05