From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Amazon SageMaker endpoints

Amazon SageMaker endpoints

From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Amazon SageMaker endpoints

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You have trained a powerful machine learning model. Now comes the critical question. How do you deploy it to production and serve millions of predictions reliably, securely, and cost-effectively? This is Amazon SageMaker Endpoints, AWS's fully managed model hosting service that deploys models with automatic scaling, monitoring, and multi-model support. No infrastructure management required. In this video, you will discover how SageMaker Endpoints work and watch a simple demo deploying a real-time endpoint for instant predictions. Amazon SageMaker Endpoints provide fully managed infrastructure to deploy machine learning models for making predictions. SageMaker handles server provisioning, model deployment, automatic scaling, and monitoring, allowing you to focus on your models, not infrastructure. SageMaker offers four inference options to match your workload requirements. First, real-time inference. Persistent endpoints for low-latency predictions with millisecond response times…

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