This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
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This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
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Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
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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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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.
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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, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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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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In "Architecting with Google Kubernetes Engine- Workloads", you'll embark on a comprehensive journey into cloud-native application development. Throughout the learning experience, you'll explore Kubernetes operations, deployment management, GKE networking, and persistent storage. This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine- Production course.
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In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Workloads course.
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This Course is utilized to certify completion of The Skills Challenge at Next 2025.
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Google Cloud Ağınızı Geliştirme kursunu tamamlayarak bir beceri rozeti kazanın. IAM rollerini keşfetme ve proje erişimi ekleme/kaldırma, VPC ağları oluşturma, Compute Engine sanal makinelerini dağıtma ve izleme, SQL sorguları yazma ve çeşitli dağıtım yaklaşımlarıyla Kubernetes'i kullanarak uygulama dağıtma gibi uygulamaları dağıtıp izlemeyle ilgili birden çok yöntemi öğreneceksiniz.
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Kurumsal yapay zeka ve makine öğreniminin kullanımı artmaya devam ettikçe, bunu sorumlu bir şekilde oluşturmanın önemi de artıyor. Sorumlu yapay zeka hakkında konuşmanın, onu uygulamaya koymaktan çok daha kolay olabilmesi burada bir zorluk oluşturmaktadır. Kuruluşunuzda sorumlu yapay zekayı nasıl işlevsel hale getireceğinizi öğrenmekle ilgileniyorsanız, bu kurs tam size göre.
Bu kurs, Google Cloud'un sorumlu yapay zeka yaklaşımını nasıl uyguladığını derinlemesine inceleyerek, kendi sorumlu yapay zeka stratejinizi oluşturmanız için size kapsamlı bir çerçeve sunuyor.
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Vertex AI'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Vertex AI'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin. Ein Beceri rozeti, Google Cloud ürün ve hizmetlerine ilişkin uzmanlığınızın tanınması amacıyla Google Cloud tarafından verilen özel bir dijital rozettir ve bilginizi etkileşimli, uygulamalı bir ortamda uygulama yeteneğinizi test eder. Ağınızla paylaşabileceğiniz bir beceri rozeti almak için bu beceri rozeti kursunu ve son değerlendirme yarışması laboratuvarını tamamlayın.
Bu aktiviteyi tamamlayın ve bir rozet kazanın! Geliştirdiğiniz becerileri herkese göstererek bulut üstüne kariyerinizi geliştirin.
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Bu kurs, sorumlu yapay zekanın ne olduğunu, neden önemli olduğunu ve Google'ın sorumlu yapay zekayı ürünlerinde nasıl uyguladığını açıklamayı amaçlayan giriş seviyesinde bir mikro öğrenme kursudur. Ayrıca Google'ın 7 yapay zeka ilkesini de tanıtır.
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Bu giriş seviyesi mikro öğrenme kursunda büyük dil modelleri (BDM) nedir, hangi kullanım durumlarında kullanılabileceği ve büyük dil modelleri performansını artırmak için nasıl istem ayarlaması yapabileceğiniz keşfedilecektir. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google araçları hakkında bilgi verilecektir.
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Bu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenme yöntemlerinden nasıl farklı olduğunu açıklamayı amaçlayan giriş seviyesi bir mikro öğrenme kursudur. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google Araçlarını da kapsar.
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This course helps you structure your preparation for the Associate 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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Bu görevde, web sitenizin kullanılabilir ve ölçeklenebilir olmasını sağlayacak dört Google Cloud web sitesi mimarisini öğreneceksiniz. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız. Kendinizi sınayabileceğiniz bu laboratuvar, önceden belirlenmiş bazı adımları yerine getirmenizi ister, ancak çözümlerin asgari seviyede yönlendirmeyle oluşturulmasını zorunlu kılar ve Google Cloud teknolojisiyle ilişkili yeteneklerinizi teste tabi tutar. Bu görev, Get Cooking in Cloud video serisi temel alınarak hazırlanmıştır.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Earn a skill badge by completing the Get Started with Pub/Sub skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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In this course, you will learn the basic skills to implement secure and efficient DevSecOps practices on Google Cloud. You'll learn how to secure your development pipeline with Google Cloud services like Artifact Registry, Cloud Build, Cloud Deploy, and Binary Authorization. This enables you to build, test, and deploy containerized applications with security controls throughout the CI/CD pipeline.
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Welcome to the second part of the two part course, Observability in Google Cloud.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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Course two of the Architecting Hybrid Cloud with Anthos series prepares students to operate and observe Anthos environments. Through presentations and hands-on labs, participants explore adjusting existing clusters, setting up advanced traffic routing policies, securing communication across workloads, and observing clusters in Anthos. This course is a continuation of course one, Multi-Cluster, Multi-Cloud with Anthos, and assumes direct experience with the topics covered in that course.
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This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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Giriş düzeyindeki Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Dataprep by Trifacta ile veri temizleme, Dataflow'da veri ardışık düzenleri çalıştırma, Dataproc'ta küme oluşturma ve Apache Spark işleri çalıştırma ve makine öğrenimi API'lerini (Cloud Natural Language API, Google Cloud Speech-to-Text API ve Video Intelligence API dahil olmak üzere) çağırma. Beceri rozeti, Google Cloud ürün ve hizmetlerindeki uzmanlık düzeyiniz karşılığında Google Cloud tarafından verilen özel bir dijital rozettir. Bilgilerinizi, etkileşimli ve uygulamalı bir ortamda kullanma becerinizi test eder. Ağınızla paylaşabileceğiniz bir beceri rozeti kazanmak için bu beceri rozeti kursunu ve son değerlendirme niteliğindeki yarışma laboratuvarını tamamlayın.
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Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta Cloud Storage, Identity and Access Management, Cloud Functions ve Pub/Sub gibi teknolojilerin temel özelliklerini kullanarak depolama odaklı bulut altyapısı oluşturma ve bu altyapıyla bağlantı kurmayı öğreneceksiniz. Beceri rozeti, Google Cloud ürünleri ve hizmetlerindeki uzmanlık düzeyinizin tanınması amacıyla Google Cloud tarafından verilen özel bir dijital rozettir. Rozeti alabilmek için bildiklerinizi etkileşimli ve uygulamalı bir ortamda başarıyla kullanabilmeniz gerekir. Ağınızla paylaşabileceğiniz bir beceri rozeti kazanmak için bu beceri rozetini ve son değerlendirme niteliğindeki yarışma laboratuvarını tamamlayın.
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Güvenli Bir Google Cloud Ağı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta, Google Cloud'da uygulamalarınızı derlemek, ölçeklendirmek ve korumak için ağla ilgili birden fazla kaynak hakkında bilgi edineceksiniz.
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Google Cloud Computing Foundations kursunda, bulut bilişimi alanında daha önce çalışmamış veya bu konuda hiç deneyimi olmayan bireylere;
temel bulut kavramları, büyük veri ve makine öğrenimi gibi kavramlar ve Google Cloud’un bu kavramlarla hangi noktada, nasıl birlikte çalıştığı
ayrıntılı bir genel bakışla anlatılır.
Kursun sonunda öğrenciler bulut bilişimi, büyük veri ve makine öğrenimi konularında
fikir yürütüp bazı becerileri pratik olarak sergileyebilecek seviyeye ulaşacaktır.
Bu kurs, Google Cloud Computing Foundations adlı kurs serisinin bir parçasıdır.
Kurslar aşağıdaki sırayla tamamlanmalıdır:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Bu üçüncü kursta güvenli ağlar oluşturma,…
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Giriş düzeyindeki Compute Engine'de Yük Dengelemeyi Uygulama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: gcloud komutları yazma ve Cloud Shell kullanma, Compute Engine'de sanal makineler oluşturma ve dağıtma, ağ ve HTTP yük dengeleyicileri yapılandırma. Beceri rozeti, Google Cloud ürün ve hizmetlerine ilişkin uzmanlık düzeyinizin tanınması amacıyla Google Cloud tarafından verilen özel bir rozettir. Bu rozet, bilginizi etkileşimli ve uygulamalı bir ortamda uygulama becerinizi test eder. Ağınızla paylaşabileceğiniz bir beceri rozeti kazanmak için bu beceri rozetini ve son değerlendirme niteliğindeki yarışma laboratuvarını tamamlayın.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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Google Cloud Computing Foundations kursunda, bulut bilişimi alanında daha önce çalışmamış veya bu konuda hiç deneyimi olmayan bireylere;
temel bulut kavramları, büyük veri ve makine öğrenimi gibi kavramlar ve Google Cloud’un bu kavramlarla hangi noktada, nasıl birlikte çalıştığı
ayrıntılı bir genel bakışla anlatılır.
Kursun sonunda öğrenciler bulut bilişimi, büyük veri ve makine öğrenimi konularında
fikir yürütüp bazı becerileri pratik olarak sergileyebilecek seviyeye ulaşacaktır.
Bu kurs, Google Cloud Computing Foundations adlı kurs serisinin bir parçasıdır.
Kurslar aşağıdaki sırayla tamamlanmalıdır:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Bu ikinci kursta Google Cloud'da depol…
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Google Cloud Computing Foundations kursunda, bulut bilişimi alanında daha önce çalışmamış veya bu konuda hiç deneyimi olmayan bireylere;
temel bulut kavramları, büyük veri, makine öğrenimi gibi kavramlar ve Google Cloud'un bu kavramlarla hangi noktada,
nasıl birlikte çalıştığı ayrıntılı bir genel bakışla anlatılır.
Kursun sonunda öğrenciler bulut bilişimi, büyük veri ve makine öğrenimi konularında
fikir yürütüp bazı becerileri pratik olarak sergileyebilecek seviyeye ulaşacaktır.
Bu kurs, Google Cloud Computing Foundations adlı kurs serisinin bir parçasıdır.
Kurslar aşağıdaki sırayla tamamlanmalıdır:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
İlk kursta bulut bilişimi, Google Cloud'u k…
Cloud Security Risks: Identify and Protect Against Threats
Earned Eyl 24, 2025 EDT
Introduction to Security Principles in Cloud Computing
Earned Eyl 23, 2025 EDT
Strategies for Cloud Security Risk Management
Earned Eyl 21, 2025 EDT
Getting Started with Google Kubernetes Engine
Earned Eyl 15, 2025 EDT
Essential Google Cloud Infrastructure: Core Services
Earned Ağu 20, 2025 EDT
Kubernetes in Google Cloud
Earned Ağu 17, 2025 EDT
Essential Google Cloud Infrastructure: Foundation
Earned Ağu 10, 2025 EDT
Optimize Costs for Google Kubernetes Engine
Earned Ağu 7, 2025 EDT
Architecting with Google Kubernetes Engine: Production
Earned Haz 6, 2025 EDT
Architecting with Google Kubernetes Engine: Workloads
Earned Nis 20, 2025 EDT
Architecting with Google Kubernetes Engine: Foundations
Earned Nis 3, 2025 EDT
The Skills Challenge at Next 2025
Earned Mar 14, 2025 EDT
Google Cloud Ağınızı Geliştirme
Earned Mar 3, 2025 EST
Sorumlu Yapay Zeka: Google Cloud ile Yapay Zeka İlkelerinin Uygulanması
Earned Şub 21, 2025 EST
Vertex AI'da İstem Tasarımı
Earned Şub 21, 2025 EST
Sorumlu Yapay Zeka'ya Giriş
Earned Şub 18, 2025 EST
Büyük Dil Modellerine Giriş
Earned Şub 18, 2025 EST
Üretken Yapay Zekaya Giriş
Earned Şub 17, 2025 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Şub 13, 2025 EST
Build a Website on Google Cloud
Earned Oca 21, 2025 EST
Set Up a Google Cloud Network
Earned Oca 16, 2025 EST
Deploy Kubernetes Applications on Google Cloud
Earned Oca 16, 2025 EST
Get Started with Pub/Sub
Earned Oca 15, 2025 EST
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Oca 15, 2025 EST
App Engine: 3 Ways
Earned Oca 12, 2025 EST
Manage Kubernetes in Google Cloud
Earned Oca 10, 2025 EST
Build Infrastructure with Terraform on Google Cloud
Earned Oca 4, 2025 EST
Monitor and Log with Google Cloud Observability
Earned Oca 2, 2025 EST
Using DevSecOps in your Google Cloud Environment
Earned Ara 31, 2024 EST
Observability in Google Cloud
Earned Ara 27, 2024 EST
DEPRECATED Cloud Operations and Service Mesh with Anthos
Earned Ara 21, 2024 EST
Logging and Monitoring in Google Cloud
Earned Ara 19, 2024 EST
Getting Started with Terraform for Google Cloud
Earned Ara 14, 2024 EST
Reliable Google Cloud Infrastructure: Design and Process
Earned Ara 13, 2024 EST
Implement DevOps Workflows in Google Cloud
Earned Ara 10, 2024 EST
Introduction to Data Analytics on Google Cloud
Earned Ağu 6, 2024 EDT
Developing a Google SRE Culture
Earned Şub 21, 2024 EST
Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama
Earned Şub 19, 2024 EST
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Şub 18, 2024 EST
Güvenli Bir Google Cloud Ağı Oluşturma
Earned Şub 18, 2024 EST
[DEPRECATED] - Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Earned Şub 17, 2024 EST
Compute Engine'de Yük Dengelemeyi Uygulama
Earned Şub 17, 2024 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Şub 15, 2024 EST
[DEPRECATED] Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned Şub 11, 2024 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Şub 7, 2024 EST
[DEPRECATED]-Google Cloud Computing Foundations: Cloud Computing Fundamentals - Turkish
Earned Şub 5, 2024 EST