Vertex AI: Pipelines for your MLOps workflows
summary
Vertex AI Pipelines shows a serverless managed pipelines workflow that compiles pipeline definitions into a JSON job spec and runs image dataset creation, AutoML training (flower classifier), evaluation and endpoint deployment end to end; artifacts and metadata are stored in a managed metadata and feature store, steps are step cached so unchanged components skip re‑run, and deployment can be conditional on eval metrics. Triggers shown: scheduler, Cloud Build for Git commits, and EventArc triggers to start pipelines on data events.
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chapters (9)
- 0:00Intro
- 2:16ML Ops
- 9:05What is Vertex AI
- 11:05Why are pipelines useful
- 17:27Example
- 22:55Conditional steps
- 25:18Triggers
- 28:45Conclusions
- 30:41Outro
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