ML - LearnXops

Kubernetes ConfigMaps, Secrets, and Persistent Volumes for ML Models

Managing Application Configuration, Credentials, and Persistent Model Storage in Kubernetes (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 24)

100 Days of MLOpsMLOps ML

Deploying ML Models on Kubernetes

From Docker Containers to Production-Ready Kubernetes Deployments (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 23)

100 Days of MLOpsMLOps ML

Introduction to Kubernetes for MLOps Engineers

Kubernetes core concepts and architecture (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 22)

100 Days of MLOpsMLOps ML

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. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 21)

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. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 20)