Machine Learning
Deploying Models to AWS Endpoints with SageMaker
Take your models live with SageMaker’s powerful deployment options. Learn to package and deploy models to serverless and real-time endpoints, test predictions at scale, and manage the full deployment lifecycle. You’ll gain hands-on experience with endpoint monitoring, cleanup, and cost management for reliable, production-ready inference.
Amazon SageMaker
AWS
Python
5 lessons
21 practices
3 hours
Model Deployment Processes
Course details
Deploying Locally Trained Models to SageMaker
Package Model for SageMaker Deployment
Create SageMaker Model Object Blueprint
Deploy Serverless Model to SageMaker Endpoint
Connect to Your Deployed SageMaker Endpoint
Test Your Deployed Model Performance
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