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Google Cloud 콘솔에서 기술 적용

Muhammad Qalby C247BSY3168

회원 가입일: 2023

골드 리그

79595포인트
Conversation Design Fundamentals Earned 11월 19, 2024 EST
Conversational AI Voice and Chat Integrations Earned 11월 19, 2024 EST
Advanced Webhook Concepts Earned 11월 19, 2024 EST
Webhook fundamentals Earned 11월 19, 2024 EST
API Gateway 시작하기 Earned 11월 8, 2024 EST
Pub/Sub 시작하기 Earned 11월 8, 2024 EST
Google Cloud에서 데이터 저장, 처리, 관리하기 - 콘솔 Earned 11월 8, 2024 EST
Store, Process, and Manage Data on Google Cloud - Command Line Earned 11월 8, 2024 EST
Diwali in The Arcade Earned 11월 8, 2024 EST
The Arcade Trivia November 2024 Week 2 Earned 11월 6, 2024 EST
Google Workspace 도구 시작하기 Earned 11월 3, 2024 EST
The Arcade Trivia November 2024 Week 1 Earned 11월 3, 2024 EST
The Arcade Trivia October 2024 Week 4 Earned 10월 29, 2024 EDT
The Arcade Trivia October 2024 Week 1 Earned 10월 11, 2024 EDT
The Arcade Trivia October 2024 Week 2 Earned 10월 11, 2024 EDT
Level 3: Google Cloud Adventures Earned 10월 10, 2024 EDT
The Arcade Trivia September 2024 Week 2 Earned 9월 25, 2024 EDT
The Arcade Trivia September 2024 Week 3 Earned 9월 20, 2024 EDT
The Arcade Trivia September 2024 Week 4 Earned 9월 13, 2024 EDT
Level 1: Security and Identity Earned 9월 5, 2024 EDT
Level 3: GenAIus Chats Earned 9월 4, 2024 EDT
The Arcade Trivia August 2024 Week 4 Earned 8월 27, 2024 EDT
Build LookML Objects in Looker Earned 8월 23, 2024 EDT
기준: 데이터, ML, AI Earned 8월 23, 2024 EDT
머신러닝 소개: 언어 처리 Earned 8월 23, 2024 EDT
Managing Machine Learning Projects with Google Cloud Earned 8월 23, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals - 한국어 Earned 8월 23, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud - 한국어 Earned 8월 23, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI Earned 8월 23, 2024 EDT
Manage Kubernetes in Google Cloud Earned 8월 21, 2024 EDT
Analyze Images with the Cloud Vision API Earned 8월 20, 2024 EDT
Analyze Sentiment with Natural Language API Earned 8월 20, 2024 EDT
Monitor and Manage Google Cloud Resources Earned 8월 20, 2024 EDT
Analyze Speech and Language with Google APIs Earned 8월 20, 2024 EDT
애플리케이션 개발자를 위한 Gemini Earned 8월 20, 2024 EDT
Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합 Earned 8월 20, 2024 EDT
데이터 과학자와 분석가를 위한 Gemini Earned 8월 20, 2024 EDT
The Arcade Trivia August 2024 Week 3 Earned 8월 20, 2024 EDT
생성형 AI 입문자 - Vertex AI Earned 8월 20, 2024 EDT
The Arcade Certification Zone August 2024 Earned 8월 16, 2024 EDT
The Arcade Trivia August 2024 Week 2 Earned 8월 13, 2024 EDT
Level 1: Application Development and Deployment Earned 8월 7, 2024 EDT
The Arcade Base Camp August 2024 Earned 8월 7, 2024 EDT
Level 2: Machine Learning and AI Skills Earned 8월 6, 2024 EDT
Level 3: Google Cloud Functions Earned 8월 6, 2024 EDT
The Arcade Trivia August 2024 Week 1 Earned 8월 6, 2024 EDT
Trust and Security with Google Cloud Earned 8월 3, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned 8월 3, 2024 EDT
Scaling with Google Cloud Operations Earned 11월 18, 2023 EST
Modernize Infrastructure and Applications with Google Cloud Earned 11월 15, 2023 EST
Exploring Data Transformation with Google Cloud Earned 11월 11, 2023 EST
Digital Transformation with Google Cloud Earned 11월 9, 2023 EST
Cloud SQL Earned 11월 3, 2023 EDT
Advanced ML: ML Infrastructure Earned 11월 1, 2023 EDT
Hybrid Cloud Modernizing Applications with Anthos Earned 10월 31, 2023 EDT
Cloud Run 기반 서버리스 애플리케이션 개발 Earned 10월 29, 2023 EDT
Google Cloud에서 Kubernetes 애플리케이션 배포하기 Earned 10월 29, 2023 EDT
Application Development with Cloud Run Earned 10월 27, 2023 EDT
Logging and Monitoring in Google Cloud Earned 10월 21, 2023 EDT
Google Cloud에서 Terraform으로 인프라 빌드 Earned 10월 15, 2023 EDT
Google Cloud 네트워크 개발 Earned 10월 14, 2023 EDT
Getting Started with Terraform for Google Cloud Earned 10월 14, 2023 EDT
Logging and Monitoring in Google Cloud Earned 10월 13, 2023 EDT
Google Kubernetes Engine 시작하기 Earned 10월 1, 2023 EDT
유연한 Google Cloud 인프라: 확장 및 자동화 Earned 9월 29, 2023 EDT
필수 Google Cloud 인프라: 핵심 서비스 Earned 9월 27, 2023 EDT
필수 Google Cloud 인프라: 기초 Earned 9월 24, 2023 EDT
Google Cloud 기초: 핵심 인프라 Earned 9월 22, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey Earned 9월 21, 2023 EDT
Google Cloud에서 ML API용으로 데이터 준비하기 Earned 9월 1, 2023 EDT
안전한 Google Cloud 네트워크 빌드 Earned 9월 1, 2023 EDT
Google Cloud 앱 개발 환경 설정 Earned 8월 31, 2023 EDT
Compute Engine에서 부하 분산 구현 Earned 8월 31, 2023 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned 8월 31, 2023 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned 8월 30, 2023 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned 8월 29, 2023 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned 8월 28, 2023 EDT

This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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API Gateway 시작하기를 완료하고 기술 배지를 획득하세요. API Gateway를 사용해 완전 관리형 게이트웨이로 API를 배포, 보호, 관리하는 방법을 배우는 기술 배지 과정입니다.

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Pub/Sub 시작하기 기술 배지 과정을 완료하고 기술 배지를 획득하세요. 이 과정에서는 Cloud 콘솔을 통해 Pub/Sub를 사용하는 방법을 배우고, Cloud Scheduler 작업을 통해 효율성을 높이는 방법과 Pub/Sub Lite를 사용하여 높은 볼륨의 이벤트 수집에 드는 비용을 절감할 수 있는 경우를 배우게 됩니다.

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Cloud Storage, Cloud Functions, Cloud Pub/Sub는 모두 데이터를 저장, 처리, 관리하는 데 사용할 수 있는 Google Cloud Platform 서비스입니다. 세 가지 서비스를 모두 활용하여 다양한 데이터 기반 애플리케이션을 만들 수 있습니다. 이 기술 배지 과정에서는 Cloud Storage를 사용하여 이미지를 저장하고, Cloud Functions를 사용하여 이미지를 처리하고, Cloud Pub/Sub를 사용하여 이미지를 다른 애플리케이션으로 보냅니다.

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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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This Diwali, learn image classification with AutoML, uncover insights with Looker, bring images to life with the Vision API, and more! Celebrate the festival of lights by earning an exclusive Google Cloud Credential and brighten your cloud skills—no prior experience needed!

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Hey there! You're invited to game on with the Arcade Trivia for November 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 November Trivia Week 2 badge!

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Google Workspace 도구 시작하기 과정을 완료하고 초급 기술 배지를 획득하세요. 이 과정에서는 Google의 협업 플랫폼에 대해 소개하고, Gmail, Calendar, Meet, Drive, Sheets, AppSheet를 사용하는 방법을 알아봅니다.

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Hey there! You're invited to game on with the Arcade Trivia for November 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 November Trivia Week 1 badge!

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Hey there! You're invited to game on with the Arcade Trivia for October 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 October Trivia Week 4 badge!

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Hey there! You're invited to game on with the Arcade Trivia for October 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 October Trivia Week 1 badge!

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Hey there! You're invited to game on with the Arcade Trivia for October 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 October Trivia Week 2 badge!

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Your next Google Cloud Credential is within reach! Complete a series of hands-on labs (adventures!) that will help you build key Google Cloud Skills. You’ll cover topics like Compute, Storage, Networking, IAM, Kubernetes, BigQuery, and more, working through real-world scenarios to boost your understanding. No prior experience required!

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Hey there! You're invited to game on with the Arcade Trivia for September 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 September Trivia Week 2 badge!

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Hey there! You're invited to game on with the Arcade Trivia for September 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 September Trivia Week 3 badge!

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Hey there! You're invited to game on with the Arcade Trivia for September 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 September Trivia Week 4 badge!

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Earn your newest Google Cloud Credential by gaining Security and Identity on the Google Cloud Platform. Gain hands-on experience in managing authentication, authorization, and identity with Vault, creating dynamic secrets, and implementing core cloud security principles. You'll also learn to deploy fault-tolerant environments, secure data lakes, and enhance network security. Whether you're new to cloud security or seeking to advance your skills, this level is designed to solidify your expertise.

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Discover Generative AI and Language Learning through hands-on labs that push your Google Cloud skills further and earn an exclusive Google Cloud Credential that recognizes your ability to tackle real-world challenges.

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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 4 badge!

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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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빅데이터, 머신러닝, 인공지능은 오늘날 인기 있는 컴퓨팅 관련 주제이지만 매우 전문화된 분야이기 때문에 초급용 자료를 구하기 어렵습니다. 다행히도 Google Cloud는 이러한 분야에서 사용자 친화적인 서비스를 제공하며 초급 과정을 통해 학습자에게 BigQuery, Cloud Speech API, Video Intelligence와 같은 도구를 사용해 시작할 기회를 제공합니다.

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모두 알다시피 머신러닝은 빠르게 성장 중인 기술 분야 중 하나입니다. Google Cloud Platform(GCP)은 이러한 발전을 촉진하는 데 중요한 역할을 했습니다. GCP는 다양한 API를 통해 거의 모든 머신러닝 작업에 적합한 도구를 제공합니다. 이 초급 과정에서는 실무형 실습을 통해 머신러닝을 언어 처리에 적용하는 방법을 알아봅니다. 실습에 참여하여 텍스트에서 항목을 추출하고 감정 및 구문 분석을 수행하며 스크립트 작성에 Speech-to-Text API를 사용해 보세요.

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Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.

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이 과정에서는 데이터-AI 수명 주기를 지원하는 Google Cloud 빅데이터 및 머신러닝 제품과 서비스를 소개합니다. Google Cloud에서 Vertex AI를 사용하여 빅데이터 파이프라인 및 머신러닝 모델을 빌드하는 프로세스, 문제점 및 이점을 살펴봅니다.

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머신러닝을 데이터 파이프라인에 통합하면 데이터에서 더 많은 인사이트를 도출할 수 있습니다. 이 과정에서는 머신러닝을 Google Cloud의 데이터 파이프라인에 포함하는 방법을 알아봅니다. 맞춤설정이 거의 또는 전혀 필요 없는 경우에 적합한 AutoML에 대해 알아보고 맞춤형 머신러닝 기능이 필요한 경우를 위해 Notebooks 및 BigQuery 머신러닝(BigQuery ML)도 소개합니다. Vertex AI를 사용해 머신러닝 솔루션을 프로덕션화하는 방법도 다루어 보겠습니다.

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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.

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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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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 Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.

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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 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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이 과정에서는 Google Cloud의 생성형 AI 기반 공동작업 도구인 Gemini가 개발자의 애플리케이션 빌드에 어떤 도움이 되는지 알아봅니다. Gemini에 프롬프트를 입력하여 코드에 대한 설명을 얻고 Google Cloud 서비스를 추천받고 애플리케이션의 코드를 생성하는 방법을 배울 수 있습니다. 실무형 실습을 통해 Gemini로 애플리케이션 개발 워크플로가 얼마나 개선되는지 경험할 수 있습니다. Duet AI의 이름이 Google의 차세대 모델인 Gemini로 변경되었습니다.

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Google Cloud에서 Gemini 1.0 Pro 모델과 애플리케이션을 통합하는 방법에 대한 이 짧은 과정은 Gemini API 모델과 생성형 AI 모델을 살펴보는 데 도움이 됩니다. 이 과정에서는 코드에서 Gemini 1.0 Pro 모델과 Gemini 1.0 Pro Vision 모델에 액세스하는 방법을 알아봅니다. 앱의 텍스트, 이미지, 동영상 프롬프트로 모델의 기능을 테스트할 수 있습니다.

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이 과정에서는 Google Cloud의 생성형 AI 기반 파트너인 Gemini가 고객 데이터를 분석하고 제품 판매를 예측하는 데 어떤 도움이 되는지 알아봅니다. BigQuery에서 고객 데이터를 사용해 신규 고객을 식별, 분류, 개발하는 방법도 다룹니다. 실무형 실습을 통해 Gemini로 데이터 분석 및 머신러닝 워크플로가 얼마나 개선되는지 경험할 수 있습니다. Duet AI의 이름이 Google의 차세대 모델인 Gemini로 변경되었습니다.

자세히 알아보기

Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 3 badge!

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생성형 AI 입문자 - Vertex AI 과정은 Google Cloud에서 생성형 AI를 사용하는 방법에 대한 실습으로 이루어져 있습니다. 실습을 통해 다음을 알아봅니다. text-bison, chat-bison, textembedding-gecko을 포함한 Vertex AI PaLM API 제품군에서 모델을 사용하는 방법을 알아봅니다. 프롬프트 설계, 권장사항에 대해 배우고 아이디어 구상, 텍스트 분류, 텍스트 추출, 텍스트 요약 등에 이를 사용하는 방법도 학습합니다. 또한 Vertex AI 커스텀 학습으로 파운데이션 모델을 학습시켜 모델을 조정하는 방법과 Vertex AI 엔드포인트에 배포하는 방법도 알아봅니다.

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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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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 2 badge!

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Earn an exclusive Google Cloud Credential by gaining practical experience in app development and deployment on the Google Cloud Platform. Learn to build, manage, and scale applications while setting up development environments, storing data, and deploying apps. Perfect for you, even if you are new to the cloud!

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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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From creating and optimizing ML models using BigQuery ML, deploying advanced chatbots with Dialogflow CX, to developing no-code chat apps using AppSheet, explore a series of challenges designed to enhance your Google Cloud skills and earn an exclusive Google Cloud Credential!

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Earn an exclusive Google Cloud Credential by gaining hands-on experience with Google Cloud Functions. Learn to create and deploy serverless functions across various programming languages, including Node.js, .NET, PHP, Ruby, and Python. Ideal for everyone, even if you are new to the cloud!

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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 1 badge!

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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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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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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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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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중급 Cloud Run 기반 서버리스 애플리케이션 개발 기술 배지 과정을 완료하여 데이터 관리를 위한 Cloud Run과 Cloud Storage의 통합, Cloud Run 및 Pub/Sub를 사용하는 복원력 높은 비동기 시스템 설계, Cloud Run 기반 REST API 게이트웨이 구축, Cloud Run 기반 서비스 빌드 및 배포와 관련된 기술 역량을 입증하세요.

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중급 Google Cloud에서 Kubernetes 애플리케이션 배포하기 기술 배지 과정을 완료하여 Docker 컨테이너 이미지 구성 및 빌드, Google Kubernetes Engine(GKE) 클러스터 생성 및 관리, kubectl을 활용한 효율적인 클러스터 관리, 강력한 지속적 배포(CD) 관행으로 Kubernetes 애플리케이션 배포를 위한 기술을 갖추었음을 입증하세요.

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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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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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중급 Google Cloud에서 Terraform으로 인프라 빌드 기술 배지 과정을 완료하여 Terraform을 사용하는 코드형 인프라(IaC) 원칙, Terraform 구성으로 Google Cloud 리소스 프로비저닝 및 관리, 효과적인 상태 관리(로컬 및 원격), 재사용성 및 구성을 위한 Terraform 코드 모듈화 등에 관한 기술을 입증하세요.

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Google Cloud 네트워크 개발 과정을 완료하고 기술 배지를 획득하세요. 이 과정에서는 IAM 역할 탐색 및 프로젝트 액세스 권한 추가/삭제, VPC 네트워크 생성, Compute Engine VM 배포 및 모니터링, SQL 쿼리 작성, Compute Engine에서 VM 배포 및 모니터링, Kubernetes를 여러 배포 접근 방식과 함께 사용하여 애플리케이션을 배포하는 등의 다양한 애플리케이션 배포 및 모니터링 방법을 배울 수 있습니다.

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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 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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Google Kubernetes Engine 시작하기 과정에 오신 것을 환영합니다. 애플리케이션과 하드웨어 인프라 사이에 위치하는 소프트웨어 레이어인 Kubernetes에 관심이 있으시다면 잘 찾아오셨습니다. Google Kubernetes Engine을 사용하면 Kubernetes를 Google Cloud에서 관리형 서비스로 사용할 수 있습니다. 이 과정의 목표는 흔히 GKE로 불리는 Google Kubernetes Engine의 기본사항을 소개하고 Google Cloud에서 애플리케이션을 컨테이너화하고 실행하는 방법을 설명하는 것입니다. 이 과정에서는 먼저 Google Cloud에 대해 기본적인 사항을 소개한 후 이어서 컨테이너 및 Kubernetes, Kubernetes 아키텍처, Kubernetes 작업에 대해 간략히 설명합니다.

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이 속성 주문형 과정에서는 참가자에게 Google Cloud에서 제공하는 포괄적이고 유연한 인프라 및 플랫폼 서비스를 소개합니다. 참가자는 동영상 강의, 데모, 실무형 실습이 결합된 이 과정을 통해 안전한 네트워크 상호 연결, 부하 분산, 자동 확장, 인프라 자동화, 관리형 서비스가 포함된 솔루션 요소를 살펴보고 배포할 수 있습니다.

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이 속성 주문형 과정은 참가자에게 Google Cloud에서 제공하는 포괄적이고 유연한 인프라 및 플랫폼 서비스를 Compute Engine을 중심으로 소개합니다. 참가자는 동영상 강의, 데모, 실무형 실습을 통해 네트워크, 시스템, 애플리케이션 서비스와 같은 인프라 구성요소를 포함한 솔루션 요소를 탐색하고 배포해 볼 수 있습니다. 또한 이 과정에서는 고객 제공 암호화 키, 보안 및 액세스 관리, 할당량 및 요금 청구, 리소스 모니터링 등 실용적인 솔루션을 배포하는 방법에 대해서도 설명합니다.

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이 속성 주문형 과정은 참가자에게 Google Cloud에서 제공하는 포괄적이고 유연한 인프라 및 플랫폼 서비스를 Compute Engine을 중심으로 소개합니다. 참가자는 동영상 강의, 데모, 실무형 실습을 통해 네트워크, 가상 머신, 애플리케이션 서비스와 같은 인프라 구성요소를 포함한 솔루션 요소를 탐색하고 배포해 볼 수 있습니다. Console과 Cloud Shell을 통해 Google Cloud를 사용하는 방법을 학습합니다. 또한 클라우드 설계자의 역할, 인프라 설계 접근 방식은 물론 Virtual Private Cloud(VPC), 프로젝트, 네트워크, 서브네트워크, IP 주소, 경로, 방화벽 규칙을 사용한 가상 네트워킹 구성에 대해 알아봅니다.

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Google Cloud 기초: 핵심 인프라 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정에서는 동영상 및 실무형 실습을 통해 중요한 리소스 및 정책 관리 도구와 함께 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 살펴보고 비교합니다.

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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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초급 Google Cloud에서 ML API용으로 데이터 준비하기 기술 배지를 완료하여 Dataprep by Trifacta로 데이터 정리, Dataflow에서 데이터 파이프라인 실행, Dataproc에서 클러스터 생성 및 Apache Spark 작업 실행, Cloud Natural Language API, Google Cloud Speech-to-Text API, Video Intelligence API를 포함한 ML API 호출과 관련된 기술 역량을 입증하세요.

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안전한 Google Cloud 네트워크 빌드 과정을 완료하여 기술 배지를 획득하세요. 이 과정에서는 Google Cloud에서 애플리케이션을 빌드, 확장, 보호하는 데 필요한 다양한 네트워킹 관련 리소스에 대해 배울 수 있습니다.

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Google Cloud 앱 개발 환경 설정 과정을 완료하여 기술 배지를 획득하세요. Cloud Storage, Identity and Access Management, Cloud Functions, Pub/Sub의 기본 기능을 사용하여 스토리지 중심 클라우드 인프라를 구축하고 연결하는 방법을 배울 수 있습니다.

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입문 Compute Engine에서 부하 분산 구현 기술 배지 과정을 완료하여 gcloud 명령어 작성 및 Cloud Shell 사용, Compute Engine에서 가상 머신 만들기 및 배포, 네트워크 및 HTTP 부하 분산기 구성에 관한 본인의 기술을 입증하세요. 기술 배지는 Google Cloud 제품 및 서비스에 대한 개인의 숙련도를 인정하기 위해 Google Cloud에서 단독 발급하는 디지털 배지로서 대화형 실습 환경을 통해 지식을 적용하는 역량을 테스트합니다. 이 기술 배지 과정과 최종 평가 챌린지 실습을 완료하면 네트워크에 공유할 수 있는 기술 배지를 받게 됩니다.

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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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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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