Vertex AI: Qwik Start | Qwiklabs | ML Learning path
Vertex AI: Qwik Start | Qwiklabs | ML Learning path
Objectives:
Train a TensorFlow model locally in a hosted Vertex Notebook.
Create a managed Tabular dataset artifact for experiment tracking.
Containerize your training code with Cloud Build and push it to Google Cloud Artifact Registry.
Run a Vertex AI custom training job with your custom model container.
Use Vertex TensorBoard to visualize model performance.
Deploy your trained model to a Vertex Online Prediction Endpoint for serving predictions.
Request an online prediction and explanation and see the response.
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