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Learn to schedule meetings, set reminders, share calendars, and collaborate efficiently with Google Calendar's powerful features for personal and team productivity.
Learn to store, access, and edit various file types in the cloud using Google Drive's features for seamless file management and collaboration.
This is a self-paced lab that takes place in the Google Cloud console. 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…
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. 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…
This is a self-paced lab that takes place in the Google Cloud console. 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.
Aprende a migrar una base de datos MySQL local a Cloud SQL usando un trabajo de migración continua y VPC peering, asegurando actualizaciones continuas y promoviendo la instancia de Cloud SQL como base de datos independiente.
In this course, you learn about Cloud Functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
Explore MLOps tools and best practices for deploying, evaluating, and monitoring ML systems on Google Cloud, with hands-on practice using Vertex AI Feature Store's streaming ingestion.
This is a self-paced lab that takes place in the Google Cloud console.Use Generative AI Studio to create prompts and conversations
Explora componentes y prácticas para crear sistemas de AA de alto rendimiento en producción, abordando entrenamiento, inferencia, TensorFlow distribuido y TPU.
Aprenda a melhorar modelos de ML com engenharia de atributos usando Vertex AI, BigQuery ML, Keras e TensorFlow. Domine técnicas para identificar e criar atributos úteis a partir de dados brutos.
Découvrez les services d'infrastructure Google Cloud, en vous concentrant sur Compute Engine, les réseaux virtuels et le déploiement de machines virtuelles via des cours vidéo et des ateliers pratiques.
Aprenda a criar sistemas de streaming resilientes no GCP usando Pub/Sub e Dataflow para análise em tempo real, pipelines de dados e painéis personalizados.
Google Kubernetesエンジンの基礎を学び、クラウドコンピューティング、コンテナ技術、Kubernetesのアーキテクチャを理解し、実践的なスキルを習得する。
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