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This lab provides a high level overview of the Google Cloud Adoption Framework and then deep dives into how to automate environment setup and deployments on GCP.
In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.
In this lab you migrate a stand-alone PostgreSQL database (running on a virtual machine) to Cloud SQL for PostgreSQL using a continuous Database Migration Service job and VPC peering for conectivity
With this lab and Google’s tools you can learn how to get the best possible quality from the Speech-to-Text systems on your specific data.
In this lab, you will implement a player profile service and a game matchmaking service to work with Cloud Spanner.
After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.
In this lab, you configure Cloud CDN for a backend bucket and verify caching of an image.
Learn to build and manage real-time data processing pipelines using Cloud Data Fusion, leveraging Apache Spark Streaming on Cloud Dataproc for efficient event handling and analysis.
This lab explores best practices in managing and monitoring a multi-tenant cluster in order to optimize your costs.
This challenge lab tests your skills and knowledge from the labs in the Kubernetes in Google Cloud quest. You should be familiar with the content of the labs before attempting this lab.
In this lab, you will extend the single node EOSIO blockchain to use multiple nodes.
Continuous Data Replication from Cloud SQL for MySQL to BigQuery using Striim
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.
Qwiklabs provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes and more.
Ingesting, Aligning, and Training Component Anomaly Detection Models using Visual Inspection AI
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