From MLOps to FMOps...
summary
Shows how to build a scalable, general-purpose data science platform on AWS that supports teams from experimentation to production, including Generative AI use cases. Covers using AWS services and features to enable MLOps-style workflows extended to what they call FMOps for productionized data science at scale.
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chapters (9)
- 0:00Introduction
- 2:09MLOps basics
- 8:32FMOps vs MLOps
- 12:44FMOps for consumers
- 27:19Amazon Bedrock demo
- 31:58FMOps for fine-tuners
- 37:40SageMaker pipelines demo
- 41:53Model provider role
- 44:44Summary and resources
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