Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
Exploring Your Ecommerce Dataset with SQL in Google BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
GKE Workload Optimization
This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container-native load balancing, application load testing, readiness and liveness probes, and pod disruption budgets.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Prisma Cloud: Protect your Cloud Instance with Host Defender
This is a self-paced lab that takes place in the Google Cloud console. Host Defender is deployed to each Compute Engine instance to secure the cloud workload. The Host Defender protects your environment according to the …
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Self Paced
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الإنجليزية
Getting Started with Cloud Data Fusion
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to create a Data Fusion instance and deploy a sample pipeline
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Preparing for Your Professional Cloud Network Engineer Journey
This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Cloud Virtualization, Containers and APIs
Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Offloading Financial Mainframe Data into BigQuery and Elastic Search
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will import synthetic data* representing financial records offloaded from a bank’s mainframe.
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Self Paced
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1 ساعات
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الإنجليزية
Mitigating Security Vulnerabilities on Google Cloud 日本語版
この自習式トレーニング コースでは、参加者は、分散型サービス拒否攻撃、フィッシング攻撃、コンテンツの分類と使用に関わる脅威など、Google Cloud ベース インフラストラクチャのさまざまな箇所での攻撃を緩和する方法について学習します。さらに、Security Command Center、Cloud Logging と監査ロギングについて、および Forseti を使って組織のセキュリティ ポリシーへの全体的なコンプライアンスを確認する方法についても学習します。
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Course by
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Self Paced
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الإنجليزية
Optimizing Cost with Google Cloud Storage
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will configure Cloud Monitoring to observe bucket object access and deploy a Cloud Function to migrate objects from a Regional bucket to a Nearline bucket. You trigger a Cloud Function to migrate a storage bucket from a Cloud Monitoring alerting policy to a less expensive storage class.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Stream Processing with Cloud Pub/Sub and Dataflow: Qwik Start
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.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Classify Text into Categories with the Natural Language API
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll learn how to classify text into categories using the Natural Language API.
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Self Paced
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1 ساعات
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الإنجليزية
Serverless Data Processing with Dataflow: Foundations
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Running a MongoDB Database in Kubernetes with StatefulSets
This is a self-paced lab that takes place in the Google Cloud console. Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Dart: Introducing Class Abstraction
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to work with Classes in Dart. Object oriented programming provides an abstraction of code and Dart is perfectly place…
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Self Paced
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الإنجليزية
Getting Started with Liquid to Customize the Looker User Experience
This is a Google Cloud Self-Paced Lab. In this lab you will use Liquid to customize dimensions and measure in Looker.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Cloud Filestore: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. Cloud Filestore is a managed file storage service for applications that require a filesystem interface and a shared filesystem for data. Filestore gives users a simple, native experience for standing up managed Network Attached Storage (NAS) with their Google Compute Engine and Kubernetes Engine instances.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Configuring and Deploying Windows SQL Server on Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will configure a highly available SQL Server configuration. NOTE: This lab sets up a lab infrastructure when launched, which takes ap…
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Self Paced
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الإنجليزية
Infrastructure as Code with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will build, change, provision, and destroy infrastructure using Terraform in the cloud environment.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
HTTP Load Balancer with Cloud Armor
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you configure an HTTP Load Balancer with global backends. Then, you stress test the Load Balancer and blacklist the stress test IP with Cloud Armor.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
MongoDB Atlas with Natural Language API and Cloud Run
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will authenticate to App services, query Atlas data with GraphQL, deploy an Angular application to Google Cloud Run and integrate the Google Cloud Natural Langauge API.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Responding to Post-Intrusion Ransomware with Cortex XSOAR
This is a self-paced lab that takes place in the Google Cloud console. Investigate a real world ransomware attack using Cortex XSOARs Post Intrusion Ransomware Investigation and Response Playbook.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Google Drive: Getting Started
This is a Google Cloud Self-Paced Lab. Use Google Drive to store all your files in the cloud, including photos, Microsoft® Word® documents, Excel® spreadsheets, and more. You can also make changes to a Word file using Google Docs, or convert your Word files to Google Docs, Sheets, or Slides. You can complete this lab in 10-15 minutes or use the extra time to explore Google Drive features.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Cloud Functions: Qwik Start - Command Line
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Command Line. Watch the short video Connect & Extend GCP Services with Google Cloud Functions.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Innovating with Data and Google Cloud en Français
À elle seule, la technologie cloud ne fournit qu'une fraction de ce qu'elle peut apporter à une entreprise. Mais combinée à des données, des tonnes de données, elle a le pouvoir de véritablement générer de la valeur et de créer de nouvelles expériences pour les clients.
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Course by
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Self Paced
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الإنجليزية
Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية