SageMaker Immersion Day Content
The SageMaker Immersion daty content covers -
- SageMaker Inference
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RealTime Inference
- Model Data Quality monitor
- Model Quality monitor
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Advanced Real Time Options
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Multi Model Endpoint(MME)
Documentation - https://docs.aws.amazon.com/sagemaker/latest/dg/multi-model-endpoints.html Example - https://github.com/aws/amazon-sagemaker-examples/tree/main/advanced_functionality/multi_model_xgboost_home_value
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Multi Container Endpoint (MCE)
Documentation - https://docs.aws.amazon.com/sagemaker/latest/dg/multi-container-endpoints.html Example - https://github.com/aws/amazon-sagemaker-examples/tree/main/advanced_functionality/multi-container-endpoint/direct-invocation
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Serial Inference Pipeline (SIP)
Documentation - https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipelines.html Example - https://github.com/aws/amazon-sagemaker-examples/tree/main/contrib/inference_pipeline_custom_containers
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Deployment guardrails for SageMaker
Documenation - https://docs.aws.amazon.com/sagemaker/latest/dg/deployment-guardrails.html Blog - https://aws.amazon.com/blogs/machine-learning/take-advantage-of-advanced-deployment-strategies-using-amazon-sagemaker-deployment-guardrails/ Example - https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-inference-deployment-guardrails
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Batch Transform ( Included in this repo )
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Async Inference ( Included in this repo )
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Serverless Inference ( Included in this repo )
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SageMaker Inference Recommender
Documentation - https://docs.aws.amazon.com/sagemaker/latest/dg/inference-recommender.html Example - https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-inference-recommender
- SageMaker Pipelines