AWS - LearnXops

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.

100 Days of MLOpsMLOps ML

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.

100 Days of MLOpsMLOps ML

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.

100 Days of MLOpsMLOps ML

Introduction to Cloud Platforms for MLOps

Overview of AWS, GCP, and Azure ML services.

AWSAWS RDS LearnXops Premium

Building an AI Security Governance Platform on AWS

A complete implementation guide covering least-privilege access enforcement, Amazon Bedrock security hardening, continuous IAM permission auditing, and automated compliance evidence generation — built for production at scale.