Zaw Min Oo
Member since 2013
Silver League
56637 points
Cloud Architecture: Design, Implement, and Manage
Earned Ara 8, 2025 EST
Set Up a Google Cloud Network
Earned Kas 23, 2025 EST
Manage Kubernetes in Google Cloud
Earned Kas 22, 2025 EST
Build a Certification Study Guide: PCA Exam Prep
Earned Eyl 2, 2025 EDT
[DEPRECATED] Gemini for DevOps Engineers
Earned Eyl 2, 2025 EDT
Level 3: Terraform Essentials
Earned Ağu 7, 2025 EDT
Skills Boost Arcade Base Camp August 2025
Earned Ağu 6, 2025 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned Haz 28, 2025 EDT
[DEPRECATED] Gemini for Cloud Architects
Earned Haz 21, 2025 EDT
Agent Platform'da İstem Tasarımı
Earned Haz 21, 2025 EDT
Sorumlu Yapay Zeka: Google Cloud ile Yapay Zeka İlkelerini Uygulama
Earned Haz 20, 2025 EDT
Büyük Dil Modellerine Giriş
Earned Haz 20, 2025 EDT
Üretken Yapay Zekaya Giriş
Earned Haz 20, 2025 EDT
Üretken Yapay Zeka Ajanları: Kuruluşunuzu Dönüştürün
Earned Haz 17, 2025 EDT
Üretken Yapay Zeka Uygulamaları: İşinizi Dönüştürün
Earned Haz 15, 2025 EDT
Üretken Yapay Zeka: Ekosistemi Tanıma
Earned Haz 15, 2025 EDT
Üretken Yapay Zeka: Temel Kavramları Öğrenin
Earned Haz 15, 2025 EDT
Üretken Yapay Zeka: Chatbot'tan Daha Fazlası
Earned Haz 15, 2025 EDT
Skills Boost Arcade Certification Zone February 2025
Earned Şub 22, 2025 EST
The Arcade Base Camp January 2025
Earned Oca 19, 2025 EST
Google Cloud Data Analytics Essentials
Earned Oca 11, 2025 EST
Üretken Yapay Zeka İçin Makine Öğrenimi Operasyonları (MLOps)
Earned Ara 26, 2024 EST
Level 1: Cloud Infrastructure and Data
Earned Ara 25, 2024 EST
Monitor Environments with Google Cloud Managed Service for Prometheus
Earned Ara 24, 2024 EST
Create and Manage Cloud Spanner Instances
Earned Ara 24, 2024 EST
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned Ara 23, 2024 EST
Arcade Snowdown
Earned Ara 22, 2024 EST
The Arcade Base Camp December 2024
Earned Ara 20, 2024 EST
The Arcade Certification Zone December 2024
Earned Ara 15, 2024 EST
Build Infrastructure with Terraform on Google Cloud
Earned Ara 9, 2024 EST
Google Cloud Ağınızı Geliştirme
Earned Kas 30, 2024 EST
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Kas 28, 2024 EST
Getting Started with Terraform for Google Cloud
Earned Kas 27, 2024 EST
[DEPRECATED] Gemini for end-to-end SDLC
Earned Kas 25, 2024 EST
Observability in Google Cloud
Earned Kas 23, 2024 EST
Logging and Monitoring in Google Cloud
Earned Kas 23, 2024 EST
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned Kas 20, 2024 EST
Essential Google Cloud Infrastructure: Core Services
Earned Kas 17, 2024 EST
Getting Started with Google Kubernetes Engine
Earned Kas 16, 2024 EST
Essential Google Cloud Infrastructure: Foundation
Earned Kas 15, 2024 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Kas 14, 2024 EST
Build a Certification Study Guide: ACE Exam Prep
Earned Kas 12, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Kas 11, 2024 EST
Build a Certification Study Guide: PDE Exam Prep
Earned Kas 9, 2024 EST
[DEPRECATED] Sorumlu Yapay Zekaya Giriş
Earned Ara 21, 2023 EST
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Mar 29, 2022 EDT
Compute Engine İçin Cloud Load Balancing'i Uygulama
Earned Oca 15, 2021 EST
DevOps Essentials
Earned Oca 7, 2020 EST
Baseline: Deploy & Develop
Earned Oca 7, 2020 EST
Bulut Mühendisliği
Earned Oca 6, 2020 EST
Digital Media
Earned Tem 4, 2019 EDT
Big Data on AWS
Earned Tem 2, 2019 EDT
Managing Cloud Infrastructure with Terraform
Earned Tem 1, 2019 EDT
Google Kubernetes Engine Best Practices
Earned Tem 1, 2019 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Haz 24, 2019 EDT
Deprecated Kubernetes Solutions
Earned Haz 3, 2019 EDT
SysOps Administrator - Associate
Earned Haz 3, 2019 EDT
Serverless Design with AWS Lambda
Earned Nis 18, 2019 EDT
Security & Identity Fundamentals
Earned Nis 2, 2019 EDT
DEPRECATED Cloud Architecture
Earned Mar 31, 2019 EDT
Kubernetes in Google Cloud
Earned Mar 30, 2019 EDT
Advanced Operations Using Amazon Redshift
Earned Mar 29, 2019 EDT
Storage & CDN
Earned Mar 28, 2019 EDT
Compute & Networking
Earned Mar 28, 2019 EDT
Serverless Web Apps using Amazon DynamoDB
Earned Mar 28, 2019 EDT
Websites & Web Apps
Earned Mar 27, 2019 EDT
Deployment & Management
Earned Mar 27, 2019 EDT
Solutions Architect - Professional
Earned Mar 26, 2019 EDT
Solutions Architect - Associate
Earned Mar 25, 2019 EDT
Security on AWS
Earned Mar 25, 2019 EDT
[DEPRECATED] Deploying Applications
Earned Mar 23, 2019 EDT
Temel: Altyapı
Earned Mar 15, 2019 EDT
Google Cloud'un Temel Özellikleri
Earned Mar 13, 2019 EDT
Temel: Veri, Makine Öğrenimi, Yapay Zeka
Earned Mar 9, 2019 EST
Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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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 Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Architect certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow.
Duet AI was renamed to Gemini, our next-generation model.
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Used by over 70% of DevOps teams globally, Terraform has become the go-to tool for provisioning and managing infrastructure as code. In this hands-on challenge, you'll use Terraform to automate the setup of Google Cloud resources—Firestore, Compute Engine, Cloud Storage, VPCs, and more. You'll also manage secure configurations with Service Accounts, Firewall Rules, and Secret Manager. Build a strong foundation for scalable, repeatable deployments and earn an exclusive Google Cloud Credential!.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'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.
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Kurumsal yapay zeka ve makine öğreniminin kullanımı arttıkça, bu teknolojileri sorumlu bir şekilde geliştirmenin önemi de artıyor. Birçok kişi için sorumlu yapay zeka hakkında konuşmak, bunu uygulamaya geçirmekten daha kolaydır. Kuruluşunuzda sorumlu yapay zekayı nasıl hayata geçireceğinizi öğrenmek istiyorsanız bu kurs tam size göre.
Bu kursta, kendi sorumlu yapay zeka yaklaşımınızı geliştirirken size rehberlik edecek bir çerçeve oluşturmak adına Google Cloud'un bu süreci günümüzde nasıl yürüttüğünü, en iyi uygulama örneklerini ve edindiğimiz tecrübeleri keşfedeceksiniz.
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Giriş seviyesindeki bu mikro öğrenme kursunda; büyük dil modellerinin (LLM) ne olduğu, hangi kullanım alanlarında kullanılabilecekleri ve istem ayarlama ile LLM performansını nasıl artırabileceğiniz ele alınmaktadır. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirebileceğiniz Google araçları da yer almaktadır.
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Bu giriş seviyesi mikro öğrenme kursu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenimi yöntemlerinden farkını açıklamayı amaçlamaktadır. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirebileceğiniz Google araçları da ele alınmaktadır.
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Üretken Yapay Zeka Ajanları: Kuruluşunuzu Dönüştürün, Üretken Yapay Zeka Lideri öğrenme rotasının beşinci ve son kursudur. Bu kursta, kuruluşların özel üretken yapay zeka ajanlarını kullanarak belirli işletme zorluklarının üstesinden nasıl gelebileceği ele alınmaktadır. Temel bir üretken yapay zeka ajanı oluşturarak pratik yapacak, bu ajanların modeller, mantık döngüleri ve araçlar gibi bileşenlerini keşfedeceksiniz.
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Üretken Yapay Zeka Uygulamaları ile İşinizi Dönüştürün, Üretken Yapay Zeka Lideri öğrenme rotasının dördüncü kursudur. Bu kursta, Google'ın üretken yapay zeka uygulamaları (ör. Gemini ile Google Workspace ve NotebookLM) tanıtılmaktadır. Temellendirme, veriyle artırılmış üretim, etkili istemler hazırlama ve otomatik iş akışları oluşturma gibi kavramlar hakkında size rehberlik eder.
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Üretken Yapay Zeka: Ekosistemi Tanıma, Üretken Yapay Zeka Lideri öğrenme rotasının üçüncü kursudur. Üretken yapay zeka, çalışma şeklimizi ve çevremizle etkileşim kurma biçimimizi değiştiriyor. Peki bir lider olarak bu teknolojinin gücünden yararlanıp işletmenizde nasıl gerçek sonuçlar elde edebilirsiniz? Bu kursta, üretken yapay zeka çözümleri oluşturmanın farklı katmanlarını, Google Cloud'un sunduğu hizmetleri ve çözüm seçerken dikkate alınması gereken faktörleri keşfedeceksiniz.
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Üretken Yapay Zeka: Temel Kavramları Öğrenin, Üretken Yapay Zeka Lideri öğrenme rotasının ikinci kursudur. Bu kursta, yapay zeka, makine öğrenimi ve üretken yapay zeka arasındaki farkları keşfederek üretken yapay zekanın temel kavramlarını öğrenecek ve çeşitli veri türlerinin üretken yapay zekanın kurumsal zorlukları çözmesine nasıl yardımcı olduğunu anlayacaksınız. Temel modellerin sınırlamalarını gidermeye yardımcı olacak Google Cloud stratejileriyle sorumlu ve güvenli yapay zeka geliştirme ve dağıtımının temel zorlukları hakkında da bilgi edineceksiniz.
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Üretken Yapay Zeka: Chatbot'tan Daha Fazlası, Gen AI Leader öğrenme rotasının ilk kursudur ve ön koşul gerektirmez. Bu kurs, chatbot'larla ilgili temel bilgilerin ötesine geçerek üretken yapay zekanın kuruluşunuza sağlayabileceği gerçek potansiyeli keşfetmeyi amaçlamaktadır. Üretken yapay zekanın gücünden yararlanmak için çok önemli olan temel modeller ve istem mühendisliği gibi kavramları keşfedeceksiniz. Kurs ayrıca kuruluşunuz için başarılı bir üretken yapay zeka stratejisi geliştirirken dikkate almanız gereken önemli noktalar hakkında size rehberlik edecek.
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.
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Bu kurs, MLOps ekiplerinin üretken yapay zeka modellerini dağıtırken ve yönetirken karşılaştığı zorlukların üstesinden gelmek için gereken bilgi ve araçları sağlamaktadır. Ayrıca yapay zeka ekiplerinin, MLOps süreçlerini kolaylaştırıp üretken yapay zeka projelerinde başarıya ulaşması için Vertex AI'ın nasıl yardımcı olduğunu öğrenmenizi amaçlamaktadır.
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The demand for cloud skills has surged by 30% in the past year, and this set of hands-on labs is designed to help you gain them and earn an exclusive Google Cloud credential! Learn how to migrate databases with Cloud SQL, explore AI using Gemini, deploy apps with Cloud Run Canary Deployments, analyze data in BigQuery, and more. All with no prior experience needed!
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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.
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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.
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Tis snowing challenges heavily in the Arcade! Join the Arcade Snowdown Challenge and earn your latest Google Cloud credential! Take on hands-on labs like Traffic Blocklisting, Redacting Sensitive Data, and Cloud Logging & Monitoring. Secure your cloud with Audit Logs, Alerts, and Service Monitoring. Don’t let the snow slow you down—protect your cloud and boost your skills today!
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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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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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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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.
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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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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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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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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, 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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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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Learn how to use Gemini Notebook to create a personalized study guide for the Associate Cloud Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook , and learn how to use a study guide to practice for a certification exam.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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Giriş seviyesindeki bu mikro öğrenme kursu, sorumlu yapay zekanın ne olduğunu, neden önemli olduğunu ve Google'ın sorumlu yapay zekayı ürünlerinde nasıl uyguladığını açıklamayı amaçlamaktadır. Ayrıca Google'ın 3 yapay zeka ilkesini de tanıtır.
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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
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Giriş düzeyindeki Compute Engine İçin Cloud Load Balancing'i Uygulama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Compute Engine'de sanal makineler oluşturma ve dağıtma. Ağ ve uygulama yük dengeleyicileri yapılandırma.
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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!
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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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Bu giriş seviyesi kurs, diğer kurs teklifleri arasında benzersiz bir yere sahiptir. Laboratuvarlar, BT profesyonellerine Google Cloud Certified Associate Cloud Engineer sertifikasında geçen konular ve hizmetlerle ilgili uygulamalı alıştırma imkanı tanımak üzere tasarlandı. Bu kurs; IAM, ağ iletişimi ve Kubernetes Engine dağıtımı gibi alanlarda Google Cloud bilginizi test edecek özel laboratuvarlardan oluşur. Bu tür laboratuvarlarda yapacağınız alıştırmalarla becerilerinizi geliştirebilirsiniz ancak sınav kılavuzunu ve diğer mevcut hazırlık kaynaklarını da incelemenizi öneririz.
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AWS provides a set of on-demand storage, archive, transcoding, and streaming services for businesses that are running photo, video, and file storage applications in the cloud. In this quest, you’ll learn to work with advanced services for digital media on AWS.
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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with advanced services for Big Data.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified SysOps Administrator - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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In this Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.
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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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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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In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.
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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.
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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).
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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.
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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.
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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Professional Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Associate Exam.
Visit AWS Certification to learn more about this exam and find more resources to prepare.
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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.
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Bulut geliştirme konusunda yeniyseniz ve Google Cloud'un Temel Özellikleri kursunun da ötesinde uygulamalı alıştırma yapmak istiyorsanız bu kurs tam size göre. Cloud Storage'ın yanı sıra Monitoring ve Cloud Functions gibi diğer önemli uygulama hizmetlerini ayrıntılı bir şekilde inceleyen laboratuvarlarla uygulamalı deneyim kazanacaksınız. Her türlü Google Cloud girişiminde kullanabileceğiniz değerli beceriler geliştireceksiniz.
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Bu giriş düzeyindeki kursta, Google Cloud'un temel araçları ve hizmetleri hakkında uygulamalı alıştırmalar yapacaksınız. Laboratuvarlarda işlenen kavramlara ilişkin daha fazla bağlam bilgisi ve inceleme sunmak amacıyla isteğe bağlı videolar paylaşılmaktadır. Google Cloud'un Temel Özellikleri, Google Cloud'u kullanmayı öğrenenler için önerilen ilk kurslardandır. Bulut teknolojisi konusunda çok az bilginiz olsa ya da hiç bilginiz olmasa bile bu kursa katılabilir ve ilk Google Cloud projenizde uygulayabileceğiniz pratik deneyimler kazanabilirsiniz. Cloud Shell komutları yazmak ve ilk sanal makinenizi dağıtmaktan Kubernetes Engine üzerinde veya yük dengelemeyi kullanarak uygulama çalıştırmaya kadar birçok konuyu kapsayan Google Cloud'un Temel Özellikleri, platformun temel özelliklerine dair mükemmel bir giriş niteliğindedir.
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Büyük veri, makine öğrenimi ve yapay zeka bilişim alanında günümüzün popüler konularıdır. Ancak bu alanlar yüksek uzmanlık gerektirir ve giriş seviyesi eğitim materyalleri zor bulunur. Neyse ki Google Cloud, bu alanlarda kullanıcı dostu hizmetler sunuyor ve bu giriş seviyesi kurs sayesinde BigQuery, Cloud Speech API ve Video Intelligence gibi araçlarla ilk adımlarınızı atmanıza imkan tanıyor.
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