📄Content from:
docs.cloud.google.com/vertex-aiVertex AI ML Workflow
Complete machine learning lifecycle on Google Cloud
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flowchart LR
subgraph PREP[Data Preparation]
A[Notebooks] --> B[Cloud Storage]
B --> C[BigQuery]
end
subgraph TRAIN[Model Training]
D[AutoML] --> E[Custom Training]
E --> F[Experiments]
end
subgraph DEPLOY[Deployment]
G[Model Registry] --> H[Endpoints]
H --> I[Monitoring]
end
PREP --> TRAIN --> DEPLOY
style PREP fill:#4285F4,color:#fff,stroke:#1a73e8
style TRAIN fill:#FBBC04,color:#333,stroke:#f9a825
style DEPLOY fill:#34A853,color:#fff,stroke:#1e8e3e
style A fill:#e8f0fe,color:#1967d2,stroke:#4285F4
style B fill:#e8f0fe,color:#1967d2,stroke:#4285F4
style C fill:#e8f0fe,color:#1967d2,stroke:#4285F4
style D fill:#fef7e0,color:#b06000,stroke:#FBBC04
style E fill:#fef7e0,color:#b06000,stroke:#FBBC04
style F fill:#fef7e0,color:#b06000,stroke:#FBBC04
style G fill:#e6f4ea,color:#137333,stroke:#34A853
style H fill:#e6f4ea,color:#137333,stroke:#34A853
style I fill:#e6f4ea,color:#137333,stroke:#34A853How Style Selection Works
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