MLOps Patterns
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Stanford CS329 - CS 329S: Machine Learning Systems Design - the course goes in-depth about how ML systems are built, and how to debug, root cause, monitor, etc.
HyperparameterHunter, Hyperopt, mlflow, unit test, concept drifts, using python and kafka
An MLOps End-to-End system, i.e., "You dont need a bigger boat", using MetaFlow, Snowflake, DBT, Prefect, Great Expectations, Weights & Biases, Sagemaker, Lambda
A simplistic E2E system - Snowflake, DBT, S3, CometML, Reclist, SageMaker.