klotz: mlops* + docker* + production engineering* + model training* + automation* + monitoring* + cicd* + github actions*

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  1. • Continuous Integration (CI) and Continuous Deployment (CD) pipelines for Machine Learning (ML) applications
    • Importance of CI/CD in ML lifecycle
    • Designing CI/CD pipelines for ML models
    • Automating model training, deployment, and monitoring
    • Overview of tools and platforms used for CI/CD in ML

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