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Use the Kubeflow Pipelines SDK to build scalable ML pipelines
Create and run a 3-step intro pipeline that takes text input
Create and run a pipeline that trains, evaluates, and deploys an AutoML classification model
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create ML Pipelines using Vertex AI. Pipelines help you automate and reproduce your ML workflow. Vertex AI integrates the ML offerings across Google Cloud into a seamless development experience. Previously, models trained with AutoML and custom models were accessible via separate services. Vertex AI combines both into a single API, along with other new products. Vertex AI also includes a variety of MLOps products, like Vertex Pipelines. In this lab, you will learn how to create and run ML pipelines with Vertex Pipelines.
ML Pipelines
Vertex API
Machine Learning
Vertex Pipelines
Kubeflow Pipelines
Learn a new tool or skill in an interactive, hands-on environment
You'll gain access to software and tools in a cloud workspace - no download required
In Projects, you'll complete an activity or scenario by following a set of instructions in an interactive hands-on environment. Projects are completed in a real cloud environment and within real instances of various products as opposed to a simulation or demo environment.
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