- CodeCommit: Stores all ML code and pipeline configuration files.
- CodeBuild: Handles data preprocessing, model training, and deployment using SageMaker.
- CodePipeline: Automates the end-to-end process, triggering the pipeline on new commits.
- SageMaker: Used for training, tuning, and deploying the ML models.
- CloudWatch: Monitors model performance and raises alarms if the model quality drops.
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MLOps Pipeline with SageMaker, CodePipeline, and CodeBuild to optimize version control with ML models
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