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How Things Work: An Introduction to Physics
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Explore Vertex AI for predictive customer lifetime value using BigQuery, TensorFlow, and cloud-based model training and deployment.
In this lab, you learn how to to create and use document processors using the Document AI API.
In this lab you will create a series of audio files using the Text-to-Speech API, then listen to them to compare the differences.
In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.
In this lab, you configure a network to record traffic to and from an apache web server using VPC Flow Logs. You then export the logs to BigQuery to analyze them.
Deploy, manage, and scale containerized applications on Google infrastructure using Kubernetes Engine in this hands-on lab with practical tasks.
In this lab you use the gcloud command line to create VPC networks, subnets, and VM instances, then test connectivity.
A step-by-step guide through the process to configure multiple methods to ingest Google Cloud data into Splunk
Qwiklabs provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes and more.
In this lab you will learn how to perform basic networking tasks on Google Cloud Platform by setting up a network and 3 subnetworks; and how GCP might differ from an on-premises setup.
In this lab you'll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.
In this hands-on lab you will import existing infrastructure, write Terraform configuration that matches that infrastructure, and manipulate state storage with Terraform.
In this lab you will learn how to use the query parameter to create a modeled query for an Explore.
In this lab, you will get hands-on practice configuring and deploying an App Engine instance with the APIs Explorer tool.
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