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Architecting with Google Compute Engine 한국어
Google Cloud 인증 사용자의 87%는 자신의 클라우드 기술에 대해 자신감을 갖고 있습니다. 이 프로그램은 경력을 발전시키는 데 필요한 기술과 업계에서 인정하는 Google Cloud Associate Cloud Engineer 인증 준비를 지원하는 교육을 제공합니다. Google Cloud 인증을 향한 여정: 1) Coursera 클라우드 엔지니어링 전문가 인증서 완료 2) Google Cloud Associate Cloud Engineer 인증 시험에 대한 기타 권장 리소스 검토 3) Associate Cloud Engineer 시험 가이드 검토 4) Associate Cloud Engineer 샘플 질문 작성 5) Google Cloud 인증 시험 등록(원격 또는 테스트 센터) 응용 학습 프로젝트 이 전문 인증서에는 Qwiklabs 플랫폼을 사용하는 실습 랩이 포함되어 있습니다. 이러한 실습 구성 요소를 통해 배운 기술을 적용할 수 있습니다. 프로젝트는 Qwiklabs 내에서 사용되는 Google Cloud Platform 제품을 통합합니다. 모듈 전반에 걸쳐 설명된 개념을 통해 실제적인 실습 경험을 얻을 수 있습니다.
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الكورية

Architecting with Google Kubernetes Engine: Production em Português Brasileiro
Neste curso, "Architecting with Google Kubernetes Engine: Production", você vai aprender sobre a segurança do Kubernetes e do Google Kubernetes Engine (GKE), além dos processos de geração de registros e monitoramento. Também mostraremos como usar dentro do GKE os serviços de banco de dados e armazenamento gerenciados pelo Google Cloud. Este é o último curso da série "Architecting with Google Kubernetes Engine". Depois de concluir todas as tarefas, comece o curso "Reliable Google Cloud Infrastructure: Design and Process" ou "Hybrid Cloud Infrastructure Foundations with Anthos".
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Self Paced
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البرتغالي

ML Pipelines on Google Cloud en Español
En este curso, aprenderá de los ingenieros y capacitadores de AA que trabajan en el desarrollo de vanguardia de las canalizaciones de AA en Google Cloud. En los primeros módulos, se abordará TensorFlow Extended (o TFX), la plataforma de aprendizaje automático de producción de Google basada en TensorFlow para la administración de canalizaciones y metadatos de AA. Aprenderá sobre los componentes y la organización de las canalizaciones con TFX. También aprenderá cómo automatizar su canalización mediante la integración y la implementación continuas, y cómo administrar ML Metadata.
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الإسبانية

Architecting with Google Compute Engine auf Deutsch
In diesem Vertiefungskurs werden die umfassenden und flexiblen Infrastruktur- und Plattformdienste der Google Cloud Platform vorgestellt. In Präsentationen, Demos und praxisorientierten Labs lernen die Teilnehmer Lösungselemente kennen und stellen diese bereit. Dazu gehören Infrastrukturkomponenten wie Netzwerke, Systeme und Anwendungsdienste.
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ألماني

Architecting with Google Compute Engine bahasa Indonesia
Nama Spesialisasi telah berubah dari "Architecting from Google Cloud Platform Specialization" menjadi "Architecting with Google Compute Engine Specialization" pada 12 Juni 2020. Spesialisasi ini memperkenalkan peserta pada infrastruktur dan layanan platform yang komprehensif serta fleksibel, dan tersedia melalui Google Cloud Platform. Melalui kombinasi presentasi, demo, dan lab langsung, peserta akan mengeksplorasi serta menerapkan berbagai elemen solusi, termasuk komponen infrastruktur seperti jaringan, sistem, dan layanan aplikasi.
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إندونيسي

Serverless Data Processing Dataflow em Português Brasileiro
Está se tornando cada vez mais difícil manter uma pilha de tecnologia que possa acompanhar as crescentes demandas de um negócio orientado a dados. Todo praticante de Big Data está familiarizado com os três V’s do Big Data: volume, velocidade e variedade. E se houvesse uma tecnologia à prova de escala projetada para atender a essas demandas? Entre no Google Cloud Dataflow. O Google Cloud Dataflow simplifica o processamento de dados unificando o processamento em lote e fluxo e fornecendo uma experiência sem servidor que permite que os usuários se concentrem na análise, não na infraestrutura.
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Self Paced
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البرتغالي

Architecting with Google Compute Engine in italiano
In questi corsi acquisirai dimestichezza con l'infrastruttura flessibile di Google Cloud e i servizi della piattaforma, concentrandoti in modo specifico su Compute Engine. In questa sessione viene utilizzata una combinazione di lezioni, demo e lab pratici che consentono di esplorare ed eseguire il deployment di elementi della soluzione, inclusi i componenti dell'infrastruttura, come le reti, i sistemi e i servizi per le applicazioni.
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الإيطالية

Getting Started with Google Kubernetes Engine - 繁體中文
歡迎參加「開始使用 Google Kubernetes Engine」課程。Kubernetes 是位於應用程式和硬體基礎架構之間的軟體層。如果您對這項技術感興趣,這堂課程可以滿足您的需求。有了 Google Kubernetes Engine,您就能在 Google Cloud 中以代管服務的形式使用 Kubernetes。 本課程的目標在於介紹 Google Kubernetes Engine (常簡稱為 GKE) 的基本概念,以及如何將應用程式容器化,以便在 Google Cloud 中執行。課程首先會初步介紹 Google Cloud,隨後簡介容器、Kubernetes、Kubernetes 架構和 Kubernetes 作業。
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صيني

Data Engineer, Big Data and ML on Google Cloud em Português
Nesta especialização on-line intensiva de cinco semanas, os participantes terão uma introdução prática sobre como projetar e criar sistemas de processamento de dados no Google Cloud Platform. Por meio de uma combinação de apresentações, demonstrações e laboratórios práticos, os participantes aprenderão a projetar sistemas de processamento de dados, criar canais completos e análises de dados e desenvolver soluções de aprendizado de máquina.
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Self Paced
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البرتغالي

Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro
Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho." Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo. O curso segue a metodologia do Guia do exame.
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البرتغالي

Architecting with Google Compute Engine en Español
El nombre de esta especialización cambió de "especialización Architecting from Google Cloud Platform" a "especialización Architecting with Google Compute Engine" el 12 de junio de 2020. Esta especialización presenta a los participantes servicios flexibles y completos de infraestructura y plataforma proporcionados por Google Cloud Platform. Mediante una serie de presentaciones, demostraciones y labs prácticos, pueden explorar y también implementar elementos de soluciones, incluidos los componentes de la infraestructura como las redes, los sistemas y los servicios de aplicaciones.
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الإسبانية

Architecting with Google Kubernetes 한국어
Google Kubernetes Engine(GKE)에서 컨테이너화된 애플리케이션을 배포하고 관리하는 방법을 알아봅니다. GKE 배포와 연동되는 Google Cloud의 다른 도구를 사용하는 방법을 알아봅니다. 이 과정은 네트워크 및 애플리케이션 서비스와 함께 포드, 컨테이너, 배포, 서비스와 같은 인프라 구성요소를 포함한 솔루션 요소를 탐색하고 배포하는 데 도움이 되도록 강의, 데모, 실무형 실습으로 이루어져 있습니다. 또한, 보안 및 액세스 관리, 리소스 관리, 리소스 모니터링을 비롯한 실용적인 솔루션을 배포하는 방법도 학습하게 됩니다
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الكورية

TensorFlow on Google Cloud
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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Self Paced
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13 ساعات
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الإنجليزية

Securing and Integrating Components of your Application
In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways.\n\nCompleting one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية

Building Scalable Java Microservices with Spring Boot and Spring Cloud
"Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will learn how to build Java applications using Spring Boot and Spring Cloud on Google Cloud. You'll use Spring Cloud Config to manage your application's configuration. You'll send and receive messages with Pub/Sub and Spring Integration.
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Self Paced
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12 ساعات
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الإنجليزية

Elastic Google Cloud Infrastructure: Scaling and Automation
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
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Self Paced
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7 ساعات
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الإنجليزية

Mitigating Security Vulnerabilities on Google Cloud
In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية

Logging, Monitoring and Observability in Google Cloud
Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this course features a combination of lectures, demos, hand…
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Self Paced
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24 ساعات
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الإنجليزية

Modernizing Data Lakes and Data Warehouses with Google Cloud
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series.
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Self Paced
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7 ساعات
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الإنجليزية

Security Best Practices in Google Cloud
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.
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Self Paced
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12 ساعات
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الإنجليزية

Essential Google Cloud Infrastructure: Core Services
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية

Managing Security in Google Cloud
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية

Preparing for the Google Cloud Professional Data Engineer Exam
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.…
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Course by
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Self Paced
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7 ساعات
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الإنجليزية

Architecting with Google Kubernetes Engine: Production
In this course, you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE. This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Reliable Google Cloud Infrastructure: Design and Process course or the Hybrid Cloud Infrastructure Foundations with Anthos course.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية

App Deployment, Debugging, and Performance
In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية