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EMLO - Extensive Machine Learning devOperations - V1

An advanced and extensive course designed to become an expert in Machine Learning and DevOps.


Chapters

  1. MLOPs Introduction and Version Control
  2. Flask and REST APIs for building ML Webapps
  3. WebApps for Deployment - FrontEnd Interfaces and some backend
  4. Containers and why do we need them for MLOPs
  5. Kubernetes and why do we need them for MLOPs
  6. Preparing Models for Cloud Infrastructure
  7. Deployment on Edge Devices
  8. Deployment on Cloud Infrastructure
  9. Large Scale Distributed Inferencing
  10. Large Scale Distributed Training
  11. Data, Pipeline and Training Versioning
  12. CI/CD for MLOPs
  13. Production Model Monitoring
  14. Serverless Deployment
  15. Capstone Project