Module MLOps 2
The course explores modern ML data architecture, including Lake‑house, Mesh, and Fabric paradigms. Participants create batch and streaming pipelines with Spark, Flink, Kafka, manage a Feast feature store, and operate a Lakehouse using Delta Lake, Trino, and Hive.
MLOps 2 Roadmap by FSDS
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Coming soonCourse overview
Information
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Final project: 1
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Number of labs: 10
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Estimated Graduation Project Completion Time: 1 months
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Access Duration: Unlimited
Format
💻Learning Format
- •Pre-recorded videos
- •Debug support via Discord or direct Zoom calls
Instructors
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