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Classroom Contents
The State of Production MLOps in the Cloud Native Ecosystem
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- 1 Intro
- 2 Model ende begins once trained
- 3 Consolidating Practical AI Ethics
- 4 Consolidating Accountability Struct.
- 5 AI Open Source Libraries as Policy
- 6 Architectural Blueprint Convergence
- 7 Converging Into Cannonical Stack(s)
- 8 Maturing Monitoring Areas in ML
- 9 Evolving to Observability By Design
- 10 From Model-Centric to Data-Centric
- 11 Robust DataOps/DataMesh Evolution
- 12 End to End Metadata Interoperability
- 13 Demand for Secure End to End MLOps
- 14 Mindset From Projects to Products
- 15 Map Tech Outputs to Biz Outcomes
- 16 Cross Func. Capabilities By Design
- 17 Exploring Organisational Ratios
- 18 Iterative Organisational Growth
