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Frederick Amal Emerson V

회원 가입일: 2020

실버 리그

13800포인트
Intro to ML: Image Processing 배지 Intro to ML: Image Processing Earned 12월 13, 2021 EST
Learn to Earn Cloud Challenge: Security 배지 Learn to Earn Cloud Challenge: Security Earned 9월 16, 2021 EDT
Learn to Earn Cloud Challenge: Essentials 배지 Learn to Earn Cloud Challenge: Essentials Earned 9월 14, 2021 EDT
Learn to Earn Cloud Challenge: Data 배지 Learn to Earn Cloud Challenge: Data Earned 9월 14, 2021 EDT
Learn to Earn Cloud Challenge: Architecture 배지 Learn to Earn Cloud Challenge: Architecture Earned 9월 14, 2021 EDT
DEPRECATED IoT in the Google Cloud 배지 DEPRECATED IoT in the Google Cloud Earned 5월 8, 2021 EDT
Cloud Logging 배지 Cloud Logging Earned 5월 3, 2021 EDT
Cloud Development 배지 Cloud Development Earned 5월 3, 2021 EDT
Cloud Architecture 배지 Cloud Architecture Earned 4월 25, 2021 EDT
Understand Your Google Cloud Costs 배지 Understand Your Google Cloud Costs Earned 4월 15, 2021 EDT
Implement Cloud Security Fundamentals on Google Cloud 배지 Implement Cloud Security Fundamentals on Google Cloud Earned 4월 14, 2021 EDT
Security & Identity Fundamentals 배지 Security & Identity Fundamentals Earned 4월 14, 2021 EDT
Networking Fundamentals in Google Cloud 배지 Networking Fundamentals in Google Cloud Earned 4월 14, 2021 EDT
Build a Secure Google Cloud Network 배지 Build a Secure Google Cloud Network Earned 4월 14, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud 배지 Perform Foundational Infrastructure Tasks in Google Cloud Earned 4월 13, 2021 EDT
Google Cloud의 Kubernetes 배지 Google Cloud의 Kubernetes Earned 4월 13, 2021 EDT
Implement Load Balancing on Compute Engine 배지 Implement Load Balancing on Compute Engine Earned 4월 12, 2021 EDT
Set up and Configure a Cloud Environment in Google Cloud 배지 Set up and Configure a Cloud Environment in Google Cloud Earned 4월 12, 2021 EDT
Cloud Engineering 배지 Cloud Engineering Earned 4월 11, 2021 EDT
Baseline: Infrastructure 배지 Baseline: Infrastructure Earned 4월 11, 2021 EDT
GCP Essentials 배지 GCP Essentials Earned 4월 11, 2021 EDT
Baseline: Deploy & Develop 배지 Baseline: Deploy & Develop Earned 4월 11, 2021 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant 배지 [DEPRECATED] Build Interactive Apps with Google Assistant Earned 4월 11, 2021 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant 배지 [DEPRECATED] OK Google: Build Interactive Apps with Google Assistant Earned 4월 11, 2021 EDT
Build a Website on Google Cloud 배지 Build a Website on Google Cloud Earned 4월 11, 2021 EDT
Use Machine Learning APIs on Google Cloud 배지 Use Machine Learning APIs on Google Cloud Earned 4월 11, 2021 EDT
Exploring APIs 배지 Exploring APIs Earned 4월 11, 2021 EDT
Website on Google Cloud 배지 Website on Google Cloud Earned 4월 11, 2021 EDT
Workspace: Add-ons 배지 Workspace: Add-ons Earned 4월 10, 2021 EDT
Machine Learning APIs 배지 Machine Learning APIs Earned 4월 9, 2021 EDT
Google Developer Essentials 배지 Google Developer Essentials Earned 4월 9, 2021 EDT
Applied Data: Blockchain 배지 Applied Data: Blockchain Earned 4월 8, 2021 EDT
Engineer Data for Predictive Modeling with BigQuery ML 배지 Engineer Data for Predictive Modeling with BigQuery ML Earned 4월 8, 2021 EDT
[DEPRECATED] Data Engineering 배지 [DEPRECATED] Data Engineering Earned 4월 8, 2021 EDT
Derive Insights from BigQuery Data 배지 Derive Insights from BigQuery Data Earned 4월 8, 2021 EDT
Create ML Models with BigQuery ML 배지 Create ML Models with BigQuery ML Earned 4월 8, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud 배지 NCAA® March Madness®: Bracketology with Google Cloud Earned 4월 7, 2021 EDT
BigQuery for Machine Learning 배지 BigQuery for Machine Learning Earned 4월 7, 2021 EDT
BigQuery Basics for Data Analysts 배지 BigQuery Basics for Data Analysts Earned 4월 7, 2021 EDT
Scientific Data Processing 배지 Scientific Data Processing Earned 4월 7, 2021 EDT
BigQuery for Data Warehousing 배지 BigQuery for Data Warehousing Earned 4월 7, 2021 EDT
Cloud SQL 배지 Cloud SQL Earned 4월 6, 2021 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud 배지 Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned 4월 6, 2021 EDT
Baseline: Data, ML, AI 배지 Baseline: Data, ML, AI Earned 4월 5, 2021 EDT
Intro to ML: Language Processing 배지 Intro to ML: Language Processing Earned 4월 5, 2021 EDT
Holiday Speedrun 배지 Holiday Speedrun Earned 12월 26, 2020 EST

Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other 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 image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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Welcome to the Learn To Earn Cloud Challenge security track! These eight labs give you the keys to understanding GCP's powerful security suite. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Security game badge, and you'll be one step closer to collecting all four badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge data track! These eight labs give you a deep dive into GCP's data universe. At the end of each lab, you'll have another in-demand skill to add to your list. Complete this game to earn the Data game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge architecture track! These eight labs give you a blueprint of GCP's building blocks. At the end of each lab, you'll have hands-on experience with another tool or service to add to your resume. Complete this game to earn the Architecture game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.

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Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.

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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.

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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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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.

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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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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. 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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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 quest 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, Networking Fundamentals in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.

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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications 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 the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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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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강사가 1일 동안 직접 강의하는 본 강좌는 수강생들에게 도커 컨테이너에서의 작업, 해당 작업을 Google Kubernetes Engine에서 제공하는 쿠버네티스 클러스터로 배포하는 방법 및 증가한 트래픽에 대처할 수 있게 스케일링 하는 방법에 대해 다룹니다. 수강생은 또한 애플리케이션 업데이트에 따라 지속적으로 쿠버네티스 클러스터로 새로운 코드를 배포하는 방법에 대해서 배우게 됩니다

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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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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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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, 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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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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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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Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate from a monolithic application to a microservices architecture using Cloud Build. 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, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. 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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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.

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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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This quest of hands-on labs demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.

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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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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this Quest utilizes advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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This advanced-level quest is unique amongst the other catalog 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 Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. 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 the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

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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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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in the following: creating and evaluating machine learning models with BigQuery ML to make data predictions. 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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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model. 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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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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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.

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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. 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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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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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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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.

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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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Celebrate this holiday season with Qwiklabs. Have some holiday fun with these labs which will help you from mapping the NYC subway to building a nearby business search service with Google Maps platform. The goal - have fun! Each and every participant in this game will receive a gift of Qwiklabs credits. Then you may get more gifts - all depends on the number of labs you complete. The more labs you take, the higher your score and the better your chances! Hurry up and join this game today!! Limited seats available.

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