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This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will learn to create Cloud SQL instances with Terraform, then set up the Cloud SQL Proxy, testing the connection with both MySQL and PostgreSQL clients.
Apprenez à créer des pipelines de données par lot sur Google Cloud, en explorant différentes méthodes et outils comme BigQuery, Dataproc, Dataflow et Cloud Data Fusion pour optimiser le traitement des données.
This is a self-paced lab that takes place in the Google Cloud console. In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.
Explore deploying and monitoring applications in Google Cloud, comparing with AWS solutions. Hands-on practice with Cloud Source Repositories, Functions, Run, and operations suite tools.
Explore cloud data management, governance, schemas, and lakehouse architecture. Learn to find, access, and query data using Google Cloud tools for efficient business problem-solving.
Adquiere conocimientos fundamentales sobre tecnología en la nube, datos y servicios de Google Cloud para liderar iniciativas de transformación digital en tu organización.
Aprenda os fundamentos do Google Cloud e Kubernetes, desde a criação de contêineres até a implantação de clusters, preparando-se para arquitetar soluções eficientes no Google Kubernetes Engine.
This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
This is a self-paced lab that takes place in the Google Cloud console. Create a Google Cloud SQL PostgreSQL instance. Perform SQL operations using the GCP Console and the psql client.
Sharpen security skills with log retention, intrusion detection, monitoring, and incident response. Master attack mitigation, create detection rules, and design automated playbooks for efficient cybersecurity operations.
Découvrez les outils et pratiques MLOps pour déployer, évaluer et surveiller efficacement les systèmes de ML en production sur Google Cloud, en utilisant Vertex AI pour automatiser et optimiser le cycle de vie du ML.
Explora la ingeniería de atributos con Vertex AI, BigQuery ML y TensorFlow. Aprende a mejorar modelos de AA, procesar datos y crear combinaciones de atributos efectivas.
This is a self-paced lab that takes place in the Google Cloud console. This quickstart shows you how to use Dataflow to read messages published to a Pub/Sub topic, window (or group) the messages by timestamp, and Write the messages to Cloud Storage.
Create visually appealing pie, column, combo, and scatter charts in Google Sheets. Learn to add sparklines, progress bars, and share your data-rich spreadsheets across platforms.
本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分,例如自注意力机制,以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务,例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。
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