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YOGESHWAR MANERIKAR

회원 가입일: 2021

실버 리그

4900포인트
Machine Learning APIs 배지 Machine Learning APIs Earned 6월 7, 2021 EDT
Google Developer Essentials 배지 Google Developer Essentials Earned 6월 6, 2021 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant 배지 [DEPRECATED] Build Interactive Apps with Google Assistant Earned 6월 6, 2021 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant 배지 [DEPRECATED] OK Google: Build Interactive Apps with Google Assistant Earned 5월 22, 2021 EDT
Intro to ML: Language Processing 배지 Intro to ML: Language Processing Earned 5월 18, 2021 EDT
Set up and Configure a Cloud Environment in Google Cloud 배지 Set up and Configure a Cloud Environment in Google Cloud Earned 5월 15, 2021 EDT
Cloud Engineering 배지 Cloud Engineering Earned 5월 14, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud 배지 Perform Foundational Infrastructure Tasks in Google Cloud Earned 5월 14, 2021 EDT
Derive Insights from BigQuery Data 배지 Derive Insights from BigQuery Data Earned 5월 5, 2021 EDT
DEPRECATED BigQuery Basics for Data Analysts 배지 DEPRECATED BigQuery Basics for Data Analysts Earned 5월 5, 2021 EDT
Implement Load Balancing on Compute Engine 배지 Implement Load Balancing on Compute Engine Earned 4월 30, 2021 EDT
Baseline: Infrastructure 배지 Baseline: Infrastructure Earned 4월 30, 2021 EDT
GCP Essentials 배지 GCP Essentials Earned 4월 26, 2021 EDT

It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud 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 quest, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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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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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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 the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

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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 quest, 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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이 기본 수준의 퀘스트는 다른 Qwiklab 퀘스트 중에서도 특별합니다. IT 전문가가 Google Cloud 공인 어소시에이트 클라우드 엔지니어 자격증에 나오는 주제 및 서비스를 직접 실습해 볼 수 있도록 선별된 실습이 제공됩니다. 이 퀘스트는 IAM, 네트워킹, Kubernetes 엔진 배포 등 Google Cloud에 관한 지식을 시험하기 위한 실습으로 구성되어 있습니다. 마지막에 제시되는 챌린지 실습을 포함해 이 퀘스트를 완료하면 특별한 Google Cloud 디지털 배지가 주어집니다. 실습을 통한 연습으로 기술과 능력이 증진되겠지만, 시험 가이드 및 제공되는 다른 준비용 리소스도 검토하는 것이 좋습니다.

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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 Associate Cloud Engineer 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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‘시작하기 - 클라우드 리소스 만들기 및 관리하기’ 후에 완료할 실습을 찾고 있는 초보 클라우드 개발자라면 이 퀘스트가 안성맞춤입니다. Cloud Storage 및 Stackdriver와 Cloud Functions와 같은 핵심 애플리케이션 서비스를 자세히 살펴보는 실습을 통해 실무 경험을 쌓게 됩니다. 이 퀘스트를 완료하고 나면 어떤 Google Cloud 이니셔티브에도 적용할 수 있는 유용한 기술을 얻을 수 있습니다. 마지막에 제시되는 챌린지 실습을 포함해 이 퀘스트를 완료하면 특별한 Google Cloud 디지털 배지가 주어집니다. 1분 정도의 동영상을 통해 실습의 주요 개념을 알아볼 수 있습니다.

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Complete the introductory Derive Insights from BigQuery Data skill badge to demonstrate skills in the following: write SQL queries, query public tables, load sample data into BigQuery, troubleshoot common syntax errors with the query validator in BigQuery, and create reports in Looker Studio by connecting to BigQuery data. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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입문 Implement Load Balancing on Compute Engine 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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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.

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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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