Week 3 Review: The Cloud ML Workflow, End-to-End
Consolidate everything from cloud storage through SageMaker training to a live inference endpoint, then put a price tag on running it in production.
GCP4
Check out the latest posts
SageMaker Model Deployment & Endpoints
Take your trained machine learning models from the registry to production by deploying scalable, secure, and highly available real-time inference endpoints with Amazon SageMaker.
Cloud Storage for ML: S3 and GCS Basics
Your models and datasets need a home that isn't your laptop. Today we set up S3 buckets, lock down access with IAM, move files with boto3, and connect DVC straight to the cloud.
OpenOps - The No-Code FinOps & CloudOps Automation Platform
Simplify cloud cost optimization and operations with powerful automation—no code required.