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Apprenez à configurer, gérer et analyser vos coûts Google Cloud Platform. Maîtrisez les outils de visualisation, de suivi et de création de rapports pour optimiser vos dépenses cloud.
Explore Google Cloud's NoSQL Big Data database service using the command line interface, gaining hands-on experience with the powerful technology behind core Google services.
Deploy and manage containerized applications on Google's infrastructure using Kubernetes Engine in this hands-on lab.
This is a self-paced lab that takes place in the Google Cloud console. Create a Kubernetes Engine cluster, deploy an application, and use Spinnaker to continuously deploy the application when changes are made to the application.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, we'll introduce you to one of the easiest ways to write code that accesses Google developer technologies, all by leveraging one of the mainstream web development language…
Automate deployment of static Hugo websites using Cloud Build and Firebase, streamlining the process for efficient and scalable web hosting.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will provision a MongoDB Atlas cluster, create a dataflow pipeline to load data from the cluster to BigQuery
Learn to build, package, and deploy containerized applications on Google Cloud using Docker, Buildpacks, Cloud Run, and Kubernetes Engine. Covers best practices for creating and securing containers.
Learn techniques to identify and mitigate fairness and bias issues in AI/ML practices using Google Cloud products and open-source tools, while implementing Responsible AI principles.
Explore Gemini's capabilities in explaining code, recommending cloud services, and generating code to enhance your application development workflow through hands-on experience.
Explora las ofertas de IA y AA en Google Cloud, desde fundamentos hasta desarrollo y soluciones avanzadas. Aprende a crear modelos, canalizaciones y proyectos de IA generativa utilizando diversas herramientas y tecnologías.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create two nginx web servers and control external HTTP access to the web servers using tagged firewall rules. Then, you explore IAM policies and service accounts.
Explore Google Cloud Billing reports to understand, analyze, and forecast GCP costs. Learn to identify cost drivers and trends using built-in reporting tools in the Cloud Console.
This is a self-paced lab that takes place in the Google Cloud console. 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.
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