meta.json

{
  "module": {
    "number": 4,
    "title": "Model Deployment"
  },
  "units": [
    {
      "number": 1,
      "title": "Three ways of deploying a model",
      "youtube": "https://www.youtube.com/watch?v=JMGe4yIoBRA"
    },
    {
      "number": 2,
      "title": "Web-services: Deploying models with Flask and Docker",
      "youtube": "https://www.youtube.com/watch?v=D7wfMAdgdF8"
    },
    {
      "number": 3,
      "title": "Web-services: Getting the models from the model registry (MLflow)",
      "youtube": "https://www.youtube.com/watch?v=aewOpHSCkqI"
    },
    {
      "number": 4,
      "title": "(Optional) Streaming: Deploying models with Kinesis and Lambda ",
      "youtube": "https://www.youtube.com/watch?v=TCqr9HNcrsI"
    },
    {
      "number": 5,
      "title": "Batch: Preparing a scoring script",
      "youtube": "https://www.youtube.com/watch?v=18Lbaaeigek"
    },
    {
      "number": 6,
      "title": "MLOps Zoomcamp 4.6 - Batch: Scheduling batch scoring jobs with Prefect",
      "youtube": "https://www.youtube.com/watch?v=ekT_JW213Tc"
    },
    {
      "number": 7,
      "title": "Homework",
      "youtube": ""
    }
  ]
}