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README.md 1.1 KB

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MLflow in Action - Master the art of MLOps

Certificate

MLFlow Topics:

  • Introduction
  • Tracking Components
  • Logging Functions
  • Launching Multi-Experiment/Run
  • Autologging
  • Tracking Servers
  • Model Components
  • Custom Model Handling
  • Model Evaluation
  • Registry Components
  • Project Components
  • MLflow Client
  • CLI Commands

AWS Integration with MLflow

  • End-To-End Project
  • AWS setup:
    • Create Users
    • CodeCommit Repo
    • S3 Bucket
    • EC2 Server
    • IAM roles
    • SageMaker Notebooks
  • Data Preprocesssing
  • Model Training
  • Writing MLproject Files
  • Develop/Run on Local System
  • Training on SageMaker using GridSearch
  • Multi-Model Evaluation
  • Model Deployment
  • Model Interfacing
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