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Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
Explore millions of New York City yellow taxi trips in a BigQuery public dataset, build a fare-prediction model inside BigQuery ML, and evaluate its performance.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn how to use BigQuery to create machine learning models for datasets to create a model that predicts whether a visitor will make a transaction.
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn the basics of Vault.
This is a self-paced lab that takes place in the Google Cloud console. Redacting Sensitive Data with the DLP API
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy a website to Google Kubernetes Engine, scale it out to more instances, then deploy a new version using rolling updates.
This is a self-paced lab that takes place in the Google Cloud console.CFT Scorecard is a utility you can combine with Forseti policies to check for violations in your Google Cloud environment.
Query BigQuery from an AI Platform Notebook to pull Bitcoin transactions within two degrees of the 10,000 BTC pizza trade, then filter and plot the directed graph.
Use regular expressions to validate parameters like a PNR number, reset parameters on new flows, and add flight-status checks with an "Anything else?" page in Dialogflow CX.
Create ad hoc fields in Looker Explores: build custom measures, custom dimensions, table calculations, and custom groupings without LookML or developer permissions.
Build a LookML modeled query with the query parameter, specifying dimensions, measures, filters and pivots that surface in an Explore's Quick Start section.
This is a self-paced lab that takes place in the Google Cloud console. In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.
Build a Flutter app that displays a list of data efficiently with a ListView widget, and customise the AppBar to add extra functionality.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore leveraging Cloud Error Reporting to understand the error reports of an application and application issues.
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