Data Science & AI

Data Engineering & MLOps

1 subject

Data Engineering & MLOps

Modelling, idempotent pipelines, validation, orchestration, lineage, versioning, monitoring and rollback, built by hand so that tools make sense.

8 chapters · 19 lessons