MLOps in 30 Minutes
summary
Overview of MLOps tools and practices for building automated, controllable deployments of machine learning models using open-source software. Covers reducing manual and repetitive tasks, adding extensive monitoring across the ML lifecycle, and includes a short demo of an open-source-based solution so attendees can judge applicability and find further resources.
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chapters (7)
- 0:00MLOps introduction
- 7:35What is MLOps
- 13:01ML model lifecycle
- 16:53MLOps tools
- 22:05Demo: Pipeline automation
- 37:58Summary
- 40:51Q&A
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