MLOps tools to automate ML deployment
summary
Covers MLOps tools and practices for moving ML models from a developer’s laptop into production at scale, including automating deployments, updates and repeatable processes. Describes approaches to minimize manual steps while adding comprehensive monitoring, and includes a short demo showing how to build automated, controllable ML product deployments and where to find more information.
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chapters (7)
- 0:00MLOps introduction
- 4:13What is MLOps
- 11:01MLOps process step-by-step
- 21:20MLOps automation tools
- 25:55Pipeline automation stages
- 33:47Michał’s sample pipeline
- 44:33Summary
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