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Google Cloud 콘솔에서 기술 적용

Nelson Benitez Mendez

회원 가입일: 2023

실버 리그

3000포인트
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned 6월 14, 2023 EDT
DEPRECATED Cloud Architecture Earned 3월 6, 2023 EST
BigQuery ML을 사용한 예측 모델링을 위한 데이터 엔지니어링 Earned 3월 6, 2023 EST
Google Cloud에서 ML API용으로 데이터 준비하기 Earned 3월 6, 2023 EST
Google Developer Essentials Earned 3월 2, 2023 EST
Google Cloud Fundamentals: Core Infrastructure - 한국어 Earned 3월 2, 2023 EST
Website on Google Cloud Earned 2월 26, 2023 EST
GCP Essentials Earned 2월 23, 2023 EST

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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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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중급 BigQuery ML을 사용한 예측 모델링을 위한 데이터 엔지니어링 기술 배지를 획득하여 Dataprep by Trifact로 데이터 변환 파이프라인을 BigQuery에 빌드, Cloud Storage, Dataflow, BigQuery를 사용한 ETL(추출, 변환, 로드) 워크플로 빌드, BigQuery ML을 사용하여 머신러닝 모델을 빌드하는 기술 역량을 입증할 수 있습니다.

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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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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.

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Google Cloud Fundamentals: Core Infrastructure 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정은 동영상 및 실무형 실습을 통해 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 비교하고 중요한 리소스 및 정책 관리 도구에 대해서도 살펴봅니다.

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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.

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가장 인기 있는 이 탐구 과정에서 Google Cloud를 처음으로 실습할 수 있습니다. Stackdriver 및 Kubernetes의 고급 개념으로 실습하여 VM 가동, 키 인프라 도구 구성과 같은 기본사항을 익혀 보세요.

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