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Use the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
In this hands-on lab, you will learn to write and use Vault Policies.
This challenge lab tests your skills and knowledge from the labs in the <b>Streaming Analytics into BigQuery<b> quest. You should be familiar with the content of labs before attempting this lab.
Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.
In this hands-on lab, you will learn how to utilize the Google Cloud Framework Data Foundation for SAP to create SAP datasets in BigQuery.
In this lab you will create datasets and tables, import data from billing reports, and conduct a variety of queries on the data using BigQuery.
In this lab you wil learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.
Design a basic frontend for a mobile app using Material Components for Flutter.
In this lab you will continue working on your Pigeon Travel virtual agent and add a phone gateway to allow users to call into your virtual agent.
Create a Cosmetic Anomaly Detection Model using Visual Inspection AI
In this lab, you will create Cloud Functions that respond to HTTP calls and get triggered by Pub/Sub messages and Cloud Audit Logs.
In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to AlloyDB for PostgreSQL using a continuous Database Migration Service job with VPC peering for connectivity.
The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
This lab will teach you about the architecture and basic functioning of Application Programming Interfaces (APIs). This will be supplemented with hands-on practice, where you will configure and run Cloud Storage API methods in Cloud Shell.
In this lab you will learn how to use Dataprep in conjunction with AutoML Tables to build and operate your machine learning pipelines.
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