Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned бер. 11, 2024 EDT
Build a Secure Google Cloud Network
Earned бер. 11, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned бер. 11, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned бер. 11, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned бер. 9, 2024 EST
Налаштування середовища для розробки додатка в Google Cloud
Earned бер. 9, 2024 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned бер. 7, 2024 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned бер. 7, 2024 EST
Налаштування Cloud Load Balancing для Compute Engine
Earned бер. 7, 2024 EST
Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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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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Google runs over 4 billion containers each week—and now, you’ll learn how it’s done. Get started with containerization using Docker, deploy seamlessly on Kubernetes, and set up smart alerts to stay ahead of the unknown. Then, tune into your data: process massive workloads with Dataproc, sharpen your LookML skills, and explore machine learning with BigQuery, TensorFlow, and reinforcement learning. This level is where you will go ExtraSkillestrial!
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Зараз усі говорять про масиви даних, машинне навчання й штучний інтелект, але це досить вузькоспеціалізовані теми, про які важко знайти матеріали, зрозумілі не лише спеціалістам. На щастя, Google Cloud пропонує зручні сервіси в цих галузях, а завдяки цьому вступному курсу ви зможете ознайомитися з такими інструментами, як BigQuery, Cloud Speech API і Video Intelligence.
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Build reliable systems that can handle real-world demands. These labs focus on automated deployments, smart traffic management, and resilient architecture using GKE, Cloud Run, and Cloud Deploy. Finish strong and earn a Google Cloud credential that highlights your operational edge.
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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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Hey there! You're invited to game on with Skills Boost Arcade Trivia for July Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the July Trivia Week 4 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for July Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the July Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for July Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the July Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for July Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the July Trivia Week 1 badge!
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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory course, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
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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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Пройдіть квест Create and Manage Cloud Resources й отримайте skill badge. Ви навчитеся виконувати наведені нижче дії. Писати команди gcloud і використовувати Cloud Shell, створювати й розгортати віртуальні машини в Compute Engine, запускати контейнерні додатки за допомогою Google Kubernetes Engine, а також налаштовувати розподілювачі навантаження для мережі й HTTP.Skill badge – це ексклюзивна цифрова винагорода, яка підтверджує, що ви вмієте працювати з продуктами й сервісами Google Cloud, а також застосовувати ці знання в інтерактивному практичному середовищі. Щоб отримати skill badge й показати його колегам, пройдіть цей квест і підсумковий тест.
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Якщо ви лише пробуєте розробляти хмарні рішення й шукаєте практичні заняття на додаток до кваліфікаційного курсу "Знайомство з Google Cloud", тоді цей курс саме для вас. Ви отримаєте прикладний досвід завдяки практичним заняттям, присвяченим Cloud Storage і іншим ключовим сервісам додатків, як-от Monitoring і Cloud Functions. Ви отримаєте цінні навички, які можна застосовувати в будь-яких проєктах Google Cloud.
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Complete the Enrich Metadata and Discovery of BigLake Data skill badge course to demonstrate skills in BigQuery, BigLake, and Dataplex Universal Catalog. You create BigLake tables and enrich metadata management and discovery of the table data.
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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Earn a skill badge by completing the Create a Streaming Data Lake on Cloud Storage course, where you use Pub/Sub, Dataflow, and Cloud Storage together to create a streaming data lake on Google Cloud. 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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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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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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Build and deploy modern apps the smart way. These labs walk you through containerization with Kubernetes, serverless with Cloud Run, and continuous delivery with Cloud Deploy. Learn to scale, secure, and automate—then earn a Google Cloud credential to show you’ve got it covered.
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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Dataplex to create and secure BigLake tables.
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Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Dataplex lake for data governance.
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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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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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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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 introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.
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Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.
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Earn a skill badge by completing the Using the Google Cloud Speech API skill badge course, where you learn how create a Speech-to-Text API request, transcribe audio speech to text, and transcribe speech.
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Earn the Introductory skill badge by completing the Cloud Speech API: 3 Ways course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.
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Earn a skill badge by completing the Get Started with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.
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Complete the introductory Use APIs to Work with Cloud Storage skill badge to demonstrate skills in the following: using APIs to work with Cloud Storage resources, including the Cloud Storage API.
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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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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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Every great app starts with a solid foundation—and that’s exactly what you’ll build here. Spin up VMs, deploy SQL Server, and move data with confidence. But it doesn't stop there. As threats loom and traffic spikes, you’ll step up—locking buckets, defending with Cloud Armor, and scanning for vulnerabilities. It’s your mission to launch fast, stay secure, and keep everything running smoothly—all while working towards an exclusive Google Cloud credential!
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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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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
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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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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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Course four of the Anthos series prepares students to consider multiple approaches for modernizing applications and services within Anthos environments. Topics include optimizing workloads on serverless platforms and migrating workloads to Anthos. This course is a continuation of course three, Anthos on Bare Metal, and assumes direct experience with the topics covered in that course.
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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
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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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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications
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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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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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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування мережі Google Cloud. У ньому ви дізнаєтеся про різні способи розгортання й моніторингу додатків, зокрема навчитеся визначати ролі керування ідентифікацією і доступом, надавати або вилучати доступ до проектів, створювати мережі VPC, розгортати й відстежувати віртуальні машини Compute Engine, писати запити SQL, а також по-різному вводити додатки в дію за допомогою Kubernetes.
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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 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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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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Курс "Знайомство з Google Cloud: основна інфраструктура" охоплює важливі поняття й терміни щодо використання Google Cloud. Переглядаючи відео й виконуючи практичні завдання, слухачі ознайомляться з різними сервісами Google Cloud для обчислень і зберігання даних, а також важливими ресурсами й інструментами для керування правилами. Крім того, вони зможуть їх порівнювати.
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Пройдіть вступний кваліфікаційний курс Підготовка даних для інтерфейсів API машинного навчання в Google Cloud, щоб продемонструвати свої навички щодо очистки даних за допомогою сервісу Dataprep by Trifacta, запуску конвеєрів даних у Dataflow, створення кластерів і запуску завдань Apache Spark у Dataproc, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і Video Intelligence API.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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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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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 third course covers cloud automation and management tools and building secure networks.
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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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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування середовища для розробки додатка в Google Cloud. У ньому ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій, як Cloud Storage, система керування ідентифікацією і доступом, Cloud Functions та Pub/Sub.
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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
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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 first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.
The Basics of Google Cloud Compute
Earned січ. 26, 2026 EST
Skills Boost Arcade Certification Zone July 2025
Earned лип. 23, 2025 EDT
ExtraSkillestrial!
Earned лип. 14, 2025 EDT
Початок роботи з даними, машинним навчанням і штучним інтелектом
Earned лип. 14, 2025 EDT
Level 3: Advanced App Operations
Earned лип. 13, 2025 EDT
Skills Boost Arcade Base Camp July 2025
Earned лип. 13, 2025 EDT
Skills Boost Arcade Trivia July 2025 Week 4
Earned лип. 12, 2025 EDT
Skills Boost Arcade Trivia July 2025 Week 3
Earned лип. 12, 2025 EDT
Skills Boost Arcade Trivia July 2025 Week 2
Earned лип. 11, 2025 EDT
Skills Boost Arcade Trivia July 2025 Week 1
Earned лип. 11, 2025 EDT
Intro to ML: Language Processing
Earned лип. 11, 2025 EDT
Managing Cloud Infrastructure with Terraform
Earned лип. 11, 2025 EDT
Create and Manage Cloud Resources
Earned лип. 11, 2025 EDT
Початок роботи з інфраструктурою
Earned лип. 11, 2025 EDT
Enrich Metadata and Discovery of BigLake Data
Earned лип. 11, 2025 EDT
Streaming Analytics into BigQuery
Earned лип. 11, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned лип. 11, 2025 EDT
Create a Streaming Data Lake on Cloud Storage
Earned лип. 11, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned лип. 10, 2025 EDT
Get Started with Pub/Sub
Earned лип. 10, 2025 EDT
Level 2: Modern Application Deployment
Earned лип. 10, 2025 EDT
Secure BigLake Data
Earned лип. 9, 2025 EDT
Create a Secure Data Lake on Cloud Storage
Earned лип. 9, 2025 EDT
Monitor and Log with Google Cloud Observability
Earned лип. 9, 2025 EDT
Set Up a Google Cloud Network
Earned лип. 9, 2025 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned лип. 9, 2025 EDT
Monitoring in Google Cloud
Earned лип. 9, 2025 EDT
Monitor and Manage Google Cloud Resources
Earned лип. 9, 2025 EDT
Using the Google Cloud Speech API
Earned лип. 9, 2025 EDT
Cloud Speech API: 3 Ways
Earned лип. 9, 2025 EDT
Get Started with Dataplex
Earned лип. 9, 2025 EDT
Get Started with API Gateway
Earned лип. 9, 2025 EDT
Use APIs to Work with Cloud Storage
Earned лип. 9, 2025 EDT
Get Started with Cloud Storage
Earned лип. 9, 2025 EDT
App Engine: 3 Ways
Earned лип. 9, 2025 EDT
Level 1: Core Infrastructure and Security
Earned лип. 8, 2025 EDT
Manage Kubernetes in Google Cloud
Earned вер. 3, 2024 EDT
Build LookML Objects in Looker
Earned вер. 3, 2024 EDT
Gemini for Application Developers
Earned вер. 1, 2024 EDT
Analyze Sentiment with Natural Language API
Earned вер. 1, 2024 EDT
Analyze Images with the Cloud Vision API
Earned серп. 27, 2024 EDT
Analyze Speech and Language with Google APIs
Earned серп. 27, 2024 EDT
Advanced ML: ML Infrastructure
Earned трав. 24, 2024 EDT
Getting Started with Google Kubernetes Engine
Earned бер. 22, 2024 EDT
Logging and Monitoring in Google Cloud
Earned бер. 22, 2024 EDT
Hybrid Cloud Modernizing Applications with Anthos
Earned бер. 14, 2024 EDT
Develop Serverless Applications on Cloud Run
Earned бер. 14, 2024 EDT
Deploy Kubernetes Applications on Google Cloud
Earned бер. 14, 2024 EDT
Application Development with Cloud Run
Earned бер. 14, 2024 EDT
Cloud SQL
Earned бер. 13, 2024 EDT
Build Infrastructure with Terraform on Google Cloud
Earned бер. 13, 2024 EDT
Налаштування мережі Google Cloud
Earned бер. 13, 2024 EDT
Getting Started with Terraform for Google Cloud
Earned бер. 12, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned бер. 12, 2024 EDT
Essential Google Cloud Infrastructure: Core Services
Earned бер. 11, 2024 EDT
Essential Google Cloud Infrastructure: Foundation
Earned бер. 11, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Yкраїнська
Earned бер. 11, 2024 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned бер. 11, 2024 EDT
Build a Secure Google Cloud Network
Earned бер. 11, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned бер. 11, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned бер. 11, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned бер. 9, 2024 EST
Налаштування середовища для розробки додатка в Google Cloud
Earned бер. 9, 2024 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned бер. 7, 2024 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned бер. 7, 2024 EST
Налаштування Cloud Load Balancing для Compute Engine
Earned бер. 7, 2024 EST