Kubeflow 101 on Google Cloud

on YouTube ↗38m

" summary

Step-by-step demo of Kubeflow on GKE using a Jupyter notebook that actually deploys Kubeflow, runs a training job for an image‑classification model, and exposes the trained model for online prediction. Shows the exact commands and notebook cells to install Kubeflow, submit a training pipeline, track experiments and metrics, and create a serving endpoint; the deployment completes and the notebook issues live inference requests to verify predictions end‑to‑end.

AI-written summary · about

" chapters (5)

1. 0:00Introduction to Kubeflow
2. 10:47Data processing and validation
3. 20:05Production ML pipelines
4. 30:02Google Cloud integration
5. 35:47Q&A and resources

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