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- Introduction
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Classroom Contents
Cloud Directions, MLOps and Production Data Science
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- 1 - Introduction
- 2 - Outline
- 3 - Model Development
- 4 - Training Pipelines
- 5 - Inference
- 6 - What’s the Data?
- 7 - Data is Life! The Virtuous Cycle
- 8 - Next: 3 Key Challenges in MLOps
- 9 - Takeawys: The ML Lifecycle
- 10 - Cloud Programming & Serverless Computing
- 11 - The Big Question
- 12 - A Taste of Tech Transfer: the RISE of Aqueduct
- 13 - Aqueduct Uswer Interviews
- 14 - Takeaways
