MLOps Basics
Raviraja Ganta님의 MLOps Basics에 대한 10주 컨텐츠입니다. MLOps 각 파트에 대한 블로그 글과, 코드를 직접 돌려볼 수 있는 Github 링크입니다.
Week 0: Project Setup https://www.ravirajag.dev/blog/mlops-project-setup-part1
Week 1: Model monitoring - Weights and Biases https://www.ravirajag.dev/blog/mlops-wandb-integration
Week 2: Configurations - Hydra https://www.ravirajag.dev/blog/mlops-hydra-config
Week 3: Data Version Control - DVC https://www.ravirajag.dev/blog/mlops-dvc
Week 4: Model Packaging - ONNX https://www.ravirajag.dev/blog/mlops-onnx
Week 5: Model Packaging - Docker https://www.ravirajag.dev/blog/mlops-docker
Week 6: CI/CD - GitHub Actions https://www.ravirajag.dev/blog/mlops-github-actions
Week 7: Container Registry - AWS ECR https://www.ravirajag.dev/blog/mlops-container-registry
Week 8: Serverless Deployment - AWS Lambda https://www.ravirajag.dev/blog/mlops-serverless
Week 9: Prediction Monitoring - Kibana https://www.ravirajag.dev/blog/mlops-monitoring
Week 10: Summary https://www.ravirajag.dev/blog/mlops-summary
Github Code https://github.com/graviraja/MLOps-Basics
