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Aplique suas habilidades no console do Google Cloud

Mohamed El Mahdi SEFFAJ

Participante desde 2019

Liga Prata

17200 pontos
Learn to Earn Cloud Challenge: Security Earned Sep 20, 2021 EDT
Learn to Earn Cloud Challenge: Data Earned Sep 19, 2021 EDT
DEPRECATED Applied Data: Blockchain Earned Sep 19, 2021 EDT
Learn to Earn Cloud Challenge: Architecture Earned Sep 19, 2021 EDT
Learn to Earn Cloud Challenge: Essentials Earned Sep 19, 2021 EDT
Usar APIs de machine learning no Google Cloud Earned Feb 12, 2021 EST
Implementação do Cloud Load Balancing no Compute Engine Earned Feb 7, 2021 EST
Como desenvolver aplicativos sem servidor no Cloud Run Earned Feb 6, 2021 EST
Holiday Speedrun Earned Dec 27, 2020 EST
Work and Play: Shipping in the Cloud Earned Dec 10, 2020 EST
Google Cloud Computing Foundations Earned Nov 12, 2020 EST
Confluent on Google Cloud Earned Nov 6, 2020 EST
Google Cloud Next OnAir ‘20 - Cloud Hero Game: Week 8 Earned Sep 4, 2020 EDT
Dog Day Speedrun Earned Aug 28, 2020 EDT
Google Cloud Next OnAir ‘20 - Cloud Hero Game: Week 7 Earned Aug 27, 2020 EDT
Report due ASAP: Data Analytics Speedrun Earned Aug 25, 2020 EDT
Datastax on Google Cloud Speedrun Earned Aug 21, 2020 EDT
Como criar pipelines sem código no Cloud Data Fusion Earned Aug 20, 2020 EDT
Data Catalog Fundamentals Earned Aug 20, 2020 EDT
Google Cloud Next OnAir ‘20 - Cloud Hero Game: Week 6 Earned Aug 19, 2020 EDT
Google Cloud Next OnAir ‘20 - Cloud Hero Game: Week 5 Earned Aug 17, 2020 EDT
Gerar insights a partir de dados do BigQuery Earned Aug 17, 2020 EDT
[DEPRECATED] Building Advanced Codeless Pipelines on Cloud Data Fusion Earned Aug 13, 2020 EDT
Google Cloud Next OnAir ‘20 - Cloud Hero Game: Week 4 Earned Aug 13, 2020 EDT
Speedrun with Siblings Earned Aug 13, 2020 EDT
Speedrun of Friendship Earned Aug 13, 2020 EDT
Google Cloud Next OnAir ‘20 - Cloud Hero Game: Week 3 Earned Aug 10, 2020 EDT
Como criar uma rede segura do Google Cloud Earned Aug 7, 2020 EDT
Como configurar um ambiente de desenvolvimento de apps no Google Cloud Earned Aug 5, 2020 EDT
Como desenvolver sua rede do Google Cloud Earned Jul 30, 2020 EDT
Getting Started with Go on Google Cloud Earned Jul 14, 2020 EDT
SysAdmin on AWS for Windows Earned Jun 15, 2020 EDT
Secure your Cloud Earned Jun 7, 2020 EDT
Cloud Hero Speedrun: Leap Day Earned Feb 29, 2020 EST
SysOps Administrator - Associate Earned Feb 25, 2020 EST
Valentine's Speedrun Earned Feb 15, 2020 EST
Cloud Hero Speedrun: ACE Challenge Game 3 Earned Feb 1, 2020 EST
Anthos: Service Mesh Earned Jan 23, 2020 EST
[DEPRECATED] Network Security by Palo Alto Networks Earned Jan 22, 2020 EST
[DEPRECATED] Asylo - Practical Confidential Computing with Enclaves Earned Jan 20, 2020 EST
Cloud Healthcare API Earned Jan 19, 2020 EST
DEPRECATED IoT in the Google Cloud Earned Jan 18, 2020 EST
DEPRECATED Developing Data and Machine Learning Apps with C# Earned Jan 18, 2020 EST
Data Science on the Google Cloud Platform Earned Jan 16, 2020 EST
Scientific Data Processing Earned Jan 15, 2020 EST
Complementos do Workspace Earned Jan 15, 2020 EST
DEPRECATED Network Performance and Optimization Earned Jan 14, 2020 EST
App Modernization with Apigee Earned Jan 12, 2020 EST
DEPRECATED Creating with Google Maps Earned Jan 12, 2020 EST
Exploring APIs Earned Jan 12, 2020 EST
DEPRECATED Google Cloud Solutions II: Data and Machine Learning Earned Jan 11, 2020 EST
Intermediate ML: TensorFlow on Google Cloud Earned Jan 11, 2020 EST
Cloud Hero Speedrun: ACE Challenge Game 2 Earned Jan 11, 2020 EST
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant Earned Jan 10, 2020 EST
BigQuery for Data Warehousing Earned Jan 10, 2020 EST
DEPRECATED BigQuery for Data Analysis Earned Jan 10, 2020 EST
BigQuery for Marketing Analysts Earned Jan 9, 2020 EST
NCAA® March Madness®: Bracketology with Google Cloud Earned Jan 9, 2020 EST
BigQuery para Machine Learning Earned Jan 9, 2020 EST
APIs de aprendizado de máquina Earned Jan 9, 2020 EST
Introdução ao ML: processamento de linguagem Earned Jan 9, 2020 EST
Práticas recomendadas do Google Kubernetes Engine: segurança Earned Jan 9, 2020 EST
Ciência dos dados no Google Cloud Platform: Aprendizado de máquina Earned Jan 8, 2020 EST
Digital Media Earned Jan 8, 2020 EST
Solutions Architect - Professional Earned Jan 8, 2020 EST
Storage & CDN Earned Jan 7, 2020 EST
Serverless Design with AWS Lambda Earned Jan 6, 2020 EST
Big Data on AWS Earned Jan 5, 2020 EST
Websites & Web Apps Earned Jan 5, 2020 EST
Advanced Operations Using Amazon Redshift Earned Jan 5, 2020 EST
[DEPRECATED] Data Engineering Earned Jan 5, 2020 EST
Compute & Networking Earned Jan 4, 2020 EST
Solutions Architect - Associate Earned Jan 4, 2020 EST
Deployment & Management Earned Jan 4, 2020 EST
Alexa Skills Development Earned Jan 4, 2020 EST
Cloud Hero Speedrun: ACE Challenge Game 1 Earned Jan 4, 2020 EST
Kubernetes no Google Cloud Earned Dec 21, 2019 EST
Cloud Hero Speedrun: Tis the season! Earned Dec 21, 2019 EST
Noções básicas: dados, ML, IA Earned Nov 30, 2019 EST
Databases on AWS for Windows Earned Nov 28, 2019 EST
Corporate Apps on AWS for Windows Earned Nov 27, 2019 EST
Programming Windows on AWS Earned Nov 27, 2019 EST
Google Cloud Run Serverless Workshop Earned Nov 20, 2019 EST
Pet Theory Earned Nov 20, 2019 EST
Serverless Web Apps using Amazon DynamoDB Earned Nov 12, 2019 EST
Security on AWS Earned Nov 7, 2019 EST
Introdução ao ML: processamento de linguagem Earned Nov 7, 2019 EST
DEPRECATED BigQuery Basics for Data Analysts Earned Nov 3, 2019 EST
Baseline: Deploy & Develop Earned Oct 31, 2019 EDT
Cloud Development Earned Oct 31, 2019 EDT
DEPRECATED Google Cloud's Operations Suite Earned Oct 31, 2019 EDT
Using the Cloud SDK Command Line Earned Oct 31, 2019 EDT
DEPRECATED Application Development - Java Earned Oct 28, 2019 EDT
DEPRECATED Application Development - Python Earned Oct 28, 2019 EDT
Cloud SQL Earned Oct 27, 2019 EDT
DevZone Quest Earned Oct 26, 2019 EDT
Advanced ML: ML Infrastructure Earned Oct 26, 2019 EDT
Deprecated Kubernetes Solutions Earned Oct 24, 2019 EDT
DEPRECATED Websites and Web Applications Earned Oct 24, 2019 EDT
[DEPRECATED] Deploying Applications Earned Oct 23, 2019 EDT
Deployment Manager Earned Oct 23, 2019 EDT
Google Kubernetes Engine Best Practices Earned Oct 21, 2019 EDT
Google Cloud Solutions I: Scaling Your Infrastructure Earned Oct 20, 2019 EDT
Cloud Logging Earned Oct 19, 2019 EDT
Conceitos básicos para desenvolvedores do Google Earned Oct 18, 2019 EDT
Princípios básicos de identidade e segurança Earned Oct 17, 2019 EDT
Otimize seus custos do Google Cloud Earned Oct 16, 2019 EDT
Entenda seus custos do Google Cloud Earned Oct 14, 2019 EDT
Como gerenciar a infraestrutura em nuvem com o Terraform Earned Oct 13, 2019 EDT
Engenharia de nuvem Earned Oct 13, 2019 EDT
Como automatizar a implantação e gerenciar o tráfego em uma rede do Google Cloud Earned Oct 13, 2019 EDT
DEPRECATED Windows on Google Cloud Earned Oct 12, 2019 EDT
DevOps: noções essenciais Earned Oct 11, 2019 EDT
DEPRECATED Cloud Architecture Earned Oct 10, 2019 EDT
Conceitos básicos do Google Workspace Earned Oct 6, 2019 EDT
VM Migration Earned Oct 6, 2019 EDT
Valor de referência: infraestrutura Earned Oct 5, 2019 EDT
Google Cloud Essentials Earned Oct 5, 2019 EDT

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 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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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.

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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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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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Ganhe o selo de habilidade avançado ao concluir o curso Usar APIs de machine learning no Google Cloud. Nele, você aprende os recursos básicos das seguintes tecnologias de machine learning e IA: API Cloud Vision, API Cloud Translation e API Cloud Natural Language.

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Conclua o selo de habilidade introdutório Implementação do Cloud Load Balancing no Compute Engine para demonstrar que você sabe: criar e implantar máquinas virtuais no Compute Engine; configurar balanceadores de carga de rede e de aplicativo.

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Conclua o curso intermediário Como desenvolver aplicativos sem servidor no Cloud Run para demonstrar suas habilidades de integração do Cloud Run com o Cloud Storage para gerenciamento de dados, arquitetura de sistemas assíncronos e resilientes usando o Cloud Run e o Pub/Sub, construção de gateways da API REST com a tecnologia do Cloud Run e a criação e implantação de serviços no Cloud Run.

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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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The international shipping industry is responsible for carrying around 90% of the world’s trade. Packlink’s app offers a fast and easy way to book parcel deliveries with the world's top couriers at discounted prices. With the help of the Google Cloud Platform, Packlink is helping their users compare and purchase domestic and international package delivery services. By migrating to Google Cloud Platform and using BigQuery Packlink reduced it’s running costs by $5k per month, saved 100 hours, reduced 20% cost with automatic auditing of billing data and eliminated major failures decreasing the overall cost by 35%. This game is part of the Work & Play series - understanding how you can apply GCP tools to help solve real-world problems.

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If you’re just starting this course, please follow this link to enroll in an updated version of this content. The Google Cloud Computing Foundations course will provide individuals with little to no background or experience in cloud computing a detailed overview of concepts covering cloud basics, big data, and machine learning and where and how Google Cloud fits in. The course starts with an overview of cloud computing and dives deeper into two areas - cloud computing infrastructure, and big data and machine learning. By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning and demonstrate some hands-on skills.

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Organizations around the world rely on Apache Kafka to integrate existing systems in real time and build a new class of event streaming applications that unlock new business opportunities. Google and Confluent are in a partnership to deliver the best event streaming service based on Apache Kafka and to build event driven applications and big data pipelines on Google Cloud Platform. In this game, you will first learn how to deploy and create a streaming data pipeline with Apache Kafka. You will then perform hand-on labs on the different functionalities of the Confluent Platform including deploying and running Apache Kafka on GKE and developing a Streaming Microservices Application.

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Practice your skills in our weekly hands-on game. In this competitive challenge, you will find a curated collection of relevant labs for Next OnAir. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes! Please see the official rules before participating; by entering the Contest, you agree to the Official Rules (“Rules”) available below and that these Rules apply to you.

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Need a pick-me-up? There's a lab for that! And this time, we mean the canine type. Join today's game for labs (both the GCP training kind and the canines) and general appreciation for all the good boys and girls on International Dog Day. Rated 14/10, would boop that pup's nose.

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Practice your skills in our weekly hands-on game. In this competitive challenge, you will find a curated collection of relevant labs for Next OnAir. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes! Please see the official rules before participating; by entering the Contest, you agree to the Official Rules (“Rules”) available below and that these Rules apply to you.

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Have you ever been asked for a report, then been told "I need it ASAP"? Us too! In today's game, learn how to create and troubleshoot reports with a variety of GCP data tools. Next time your boss asks for some quick numbers, you'll be prepared. Plus by playing the game, you'll get a jump on the new skill badge. Either way, you win!

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Practice your skills in this hands-on game. In this competitive challenge, you will find a set of relevant labs for Datastax on Google Cloud. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes!

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Este curso oferece prática com o Cloud Data Fusion, uma plataforma nativa da nuvem de integração de dados sem código. Desenvolvedores de ETL, engenheiros de dados e analistas podem se beneficiar muito das transformações e conectores pré-criados para gerar e implantar os pipelines sem se preocupar em escrever código. Este curso começa com um laboratório de início rápido que familiariza os estudantes com a interface do Cloud Data Fusion. Depois, você vai executar pipelines em lote e em tempo real, além de usar o plug-in Wrangler para realizar algumas transformações interessantes nos dados.

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Data Catalog é um serviço de gerenciamento de metadados totalmente gerenciado e escalonável. Com ele, as organizações descobrem, compreendem e gerenciam rapidamente todos os dados. Nesta Quest, vamos começar com algo simples - você aprenderá como pesquisar e adicionar tags a recursos de dados e metadados usando o Data Catalog. Depois que você aprender a desenvolver seus próprios modelos de tags correlacionados a dados da tabela do BigQuery, mostraremos como criar conectores do MySQL, PostgreSQL e SQLServer para o Data Catalog.

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Practice your skills in our weekly hands-on game. In this competitive challenge, you will find a curated collection of relevant labs for Next OnAir. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes! Please see the official rules before participating; by entering the Contest, you agree to the Official Rules (“Rules”) available below and that these Rules apply to you.

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Practice your skills in our weekly hands-on game. In this competitive challenge, you will find a curated collection of relevant labs for Next OnAir. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes! Please see the official rules before participating; by entering the Contest, you agree to the Official Rules (“Rules”) available below and that these Rules apply to you.

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Conclua o selo de habilidade introdutório Gerar insights a partir de dados do BigQuery para mostrar que você sabe gravar consultas SQL, consultar tabelas públicas e carregar dados de amostra no BigQuery, solucionar erros comuns de sintaxe com o validador de consultas no BigQuery e criar relatórios no Looker Studio fazendo a conexão com dados do BigQuery.

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This advanced-level Quest builds on its predecessor Quest, and offers hands-on practice on the more advanced data integration features available in Cloud Data Fusion, while sharing best practices to build more robust, reusable, dynamic pipelines. Learners get to try out the data lineage feature as well to derive interesting insights into their data’s history.

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Practice your skills in our weekly hands-on game. In this competitive challenge, you will find a curated collection of relevant labs for Next OnAir. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes! Please see the official rules before participating; by entering the Contest, you agree to the Official Rules (“Rules”) available below and that these Rules apply to you.

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Happy Siblings Day!! It's time to kindle your sibling rivalry and participate in today's Speedrun with Siblings. Challenge your siblings with some fun labs which will help in earning a Google Skill Badge!! All the best! May the best sibling win!.

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It is the International Day of Friendship today!! Now is a good time to get in touch with your friends and have fun with the Speedrun of Friendship. Challenge your friends with some fun labs which will get you doing some fun activiries like locating a restaurant or building a chatbot with GCP. Have a Happy Friendships Day....

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Practice your skills in our weekly hands-on game. In this competitive challenge, you will find a curated collection of relevant labs for Next OnAir. Play with other attendees to see yourself on the leaderboard, earn a digital badge, and win prizes! Please see the official rules before participating; by entering the Contest, you agree to the Official Rules (“Rules”) available below and that these Rules apply to you.

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Conquiste um selo de habilidade ao concluir o curso Como criar uma rede segura do Google Cloud, que apresenta vários recursos relacionados a redes para criar, escalonar e proteger seus aplicativos no Google Cloud.

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Conquiste um selo de habilidade ao concluir o curso Como configurar um ambiente de desenvolvimento de apps no Google Cloud. Nele, você aprende a criar e conectar uma infraestrutura em nuvem focada em armazenamento usando recursos básicos das seguintes tecnologias: Cloud Storage, Identity and Access Management, Cloud Functions e Pub/Sub.

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Conquiste um selo de habilidade ao concluir o curso Como desenvolver sua rede do Google Cloud, que ensina várias maneiras de implantar e monitorar aplicativos, incluindo como analisar os papéis do IAM e adicionar/remover acesso a projetos, criar redes VPC, implantar e monitorar VMs do Compute Engine; gravar consultas SQL, implantar e monitorar VMs no Compute Engine e implantar aplicativos usando Kubernetes com múltiplas abordagens de implantação.

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Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.

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Learn how to use system administration tools in the AWS cloud, including PowerShell, Storage Spaces and Microsoft System Center.

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The move to public cloud services is underway, and requirements for cloud security are real. In today's game, get hands-on experience with the GCP security toolset. Learn to manage user access at scale, score your environment's security, and more. Bonus, three of these labs get you closer to earning the Security & Identity quest badge.

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Welcome Gamers! Are you a developer? Get hands-on practice with the state-of-the-art tools for developing applications in Google Cloud. The skills you learn align with the Professional Cloud Developer Certification exam. You will work with two different languages, Java and Python, and get 4 labs closer to earning the Cloud Development badge. Complete the game labs one by one to score points. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. Ready to play?

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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified SysOps Administrator - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.

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Come! Fall in love with some interesting cloud services this Valentine's day. Have fun with interesting labs and get to learn something new! Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges!

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You guys are awesome. Two thousand of you joined the Cloud ACE challenge. Congratulations to everyone - you started 2020 strong by adding to your skillset and strengthening your appeal on the job market. Ready for the next step? After Cloud ACE, consider a professional level certification. Today's game will get you even deeper into advanced cloud use cases and put your new skills to the test. Are you ready?

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This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.

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The move to Google® Cloud public cloud services is underway, and requirements for cloud security are real. Palo Alto Networks® offers innovative and comprehensive protection as you adopt public cloud services. The Palo Alto Networks solutions complement the native Google Cloud security toolset, including network, host and cloud-native security delivered through APIs for comprehensive protection. In this Quest, you will get hands-on practice with the Palo Alto Networks virtual next-generation firewall running in Google Cloud. You will gain practical experience that you can apply to improve visibility and security for your applications and workloads.

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This quest introduces you to Asylo (Greek for safe place), a developer framework and SDK for developing applications that run in trusted execution environments (TEEs).

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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

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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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C# has powered Windows .NET application development for nearly two decades and Google Cloud is committed to supporting developers getting their .NET workloads up and running on Google Cloud. In this quest, you will learn how to run C# apps in Google Cloud, and specifically how to take your apps to the next level by interfacing them with the big data and machine learning APIs that are accessible now from C#. By enrolling in this quest you will see firsthand how seamlessly Google Cloud integrates with .NET workloads and what the possibilities are for leveraging big data and ML services in your own C# projects.

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Esta é a primeira de duas Quests de laboratórios práticos e é derivada dos exercícios do livro Data Science on Google Cloud Platform de Valliappa Lakshmanan, publicado pela O'Reilly Media, Inc. Nesta primeira Quest, que aborda o capítulo 8, você poderá praticar todos os aspectos de ingestão, preparação, processamento, consulta, exploração e visualização de conjuntos de dados usando as ferramentas e os serviços do Google Cloud Platform.

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Big data, machine learning e dados científicos? Parece uma combinação perfeita. Nesta Quest de nível avançado, você terá experiência prática nos serviços do GCP, como o Big Query, o Dataproc e o Tensorflow, usando conjuntos de dados científicos reais. Em Scientific Data Processing, você ganhará experiência em tarefas como análise de dados de terremotos e agregação de imagens de satélites. Assim, você expandirá as habilidades em big data e machine learning e poderá solucionar seus problemas em diversas disciplinas científicas.

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Esta coleção de laboratórios mostra todos os benefícios de integrar os serviços e ferramentas do Google Cloud a apps do Workspace. Por exemplo, usar o Node.js para criar um bot de pesquisa, a API Natural Language para reconhecer o sentimento em um documento Google e criar um chatbot com o Apps Script.

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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.

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Apigee enables you to create APIs and manage them for the benefit of other developers who might need to use your software. Apigee Edge enables you to quickly expose backend services as APIs. These "API Products" offer different capabilities and levels of service, with consumption managed by Apigee. Istio is an open source framework for connecting, securing, and managing microservices, especially services that are hosted in a Kubernetes cluster. This Quest of hands-on labs gives you practice in using Apigee for API creation and management functionality when you decide to modernize an application backend on Google Kubernetes Engine and an Istio based service mesh.

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In this quest you will use several tools available in Google Cloud to manipulate data and create a Google Map - map location details to find subway stations or a business; use geocoding and Apps Script to send an email of a map; visualize data on a customized map; and build a server-side proxy to create a map on a mobile device.

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As interfaces de programação de aplicativos do Google Cloud são mecanismos para interagir com os serviços do Google Cloud de forma programática. Esta Quest oferece experiência prática com diversas APIs do GCP, que você conhecerá quando usar o APIs Explorer do Google, uma ferramenta para procurar APIs e executar os métodos delas interativamente. Aprenda a transferir dados entre intervalos do Cloud Storage, implantar instâncias do Compute Engine, configurar clusters do Dataproc e muito mais com a Quest "Exploring APIs". Você verá a eficiência das APIs e entenderá por que elas são usadas praticamente apenas por quem já é bastante experiente no GCP. Inscreva-se nesta Quest hoje mesmo!

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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.

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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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Whoa, it's 2020 and you want to accelerate your career! But you don't know where to start. Have you considered getting Google Cloud certified? Get hands-on practice with the GCP Console in today's game. Bonus, these labs will advance you towards completing the Cloud ACE 30-day challenge!

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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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Quer criar ou otimizar um armazenamento de dados? Aprenda práticas recomendadas para extrair, transformar e carregar dados no Google Cloud com o BigQuery. Nesta série de laboratórios interativos, você vai criar e otimizar seu próprio armazenamento usando diversos conjuntos de dados públicos de grande escala do BigQuery. O BigQuery é um banco de dados de análise NoOps, totalmente gerenciado e de baixo custo desenvolvido pelo Google. Com ele, você pode consultar muitos terabytes de dados sem ter que gerenciar uma infraestrutura ou precisar de um administrador de banco de dados. O BigQuery usa SQL e está disponível no modelo de pagamento por utilização. Com ele, você se concentra na análise dos dados para encontrar insights relevantes.

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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

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Quer transformar seus dados de marketing em insights e criar painéis? Reúna todos os dados em um único lugar para fazer análises em grande escala e criar modelos. Use o BigQuery e aprenda a fazer consultas para gerar insights repetíveis, escalonáveis e valiosos sobre seus dados. O BigQuery é um banco de dados de análise NoOps, totalmente gerenciado e de baixo custo desenvolvido pelo Google. Com ele, você pode consultar muitos terabytes de dados sem ter que gerenciar uma infraestrutura nem precisar de um administrador de banco de dados. O BigQuery usa SQL e está disponível no modelo de pagamento por utilização. Além disso, ele permite que você se concentre na análise dos dados para encontrar insights relevantes.

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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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Quer criar modelos de ML em minutos em vez de horas usando apenas SQL? O BigQuery ML democratiza o machine learning ao permitir que analistas de dados criem, treinem, avaliem e façam previsões usando habilidades e ferramentas de SQL que eles já têm. Nesta série de laboratórios, você vai fazer alguns testes e saber quais são as características de um bom modelo.

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Não é novidade que o machine learning é um dos campos que mais crescem na área de tecnologia, e o Google Cloud Platform tem sido fundamental para esse desenvolvimento. Com diversas APIs, o GCP tem uma ferramenta para praticamente todos os jobs de machine learning. Nesta Quest de nível avançado, você terá experiência prática com as APIs de machine learning em laboratórios como estes: "Como implementar um bot de bate-papo com IA usando o Dialogflow" e "Detectar rótulos, rostos e pontos de referência em imagens com a API Cloud Vision".

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Usar a capacidade de computação em grande escala para reconhecer padrões e "ler" imagens é uma das tecnologias fundamentais de IA, desde carros com condução automática até reconhecimento facial. O Google Cloud Platform oferece velocidade e precisão de nível internacional, com sistemas que podem ser usados ao chamar APIs. Com eles e várias outras APIs, o GCP tem praticamente uma ferramenta para cada job de machine learning. Neste curso introdutório, você vai praticar a aplicação do machine learning em processamento de imagens com laboratórios que permitem rotular imagens, detectar rostos e pontos de referência, extrair, analisar e traduzir texto de imagens.

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Prepare-se para o Anthos. Esta coleção de laboratórios com foco nas práticas recomendadas do Google Kubernetes Engine se concentra na segurança em escala ao implantar e gerenciar ambientes de produção do GKE, especificamente o controle de acesso baseado em papéis, o aumento da proteção, a rede VPC e a autorização binária.

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Esta é a segunda e última Quest de laboratórios práticos derivados dos exercícios do livro "Data Science on Google Cloud Platform" de Valliappa Lakshmanan, publicado pela O'Reilly Media, Inc. Nesta etapa, que aborda os assuntos do capítulo nove até o fim do livro, você ampliará as habilidades praticadas na primeira Quest. Você também executará jobs completos de machine learning com ferramentas de última geração e conjuntos de dados do mundo real. Tudo isso será feito com os serviços e ferramentas do Google Cloud Platform.

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AWS provides a set of on-demand storage, archive, transcoding, and streaming services for businesses that are running photo, video, and file storage applications in the cloud. In this quest, you’ll learn to work with advanced services for digital media on AWS.

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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Professional Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.

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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.

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In this Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.

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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with advanced services for Big Data.

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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.

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In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.

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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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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).

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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.

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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.

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In this Quest, you will learn how to create Alexa skills that respond to voice commands and which can be used on the Amazon Echo, Dot, and Tap devices. You will create back-end functions in AWS Lambda, and then connect them with voice response logic using the Alexa Skills Kit. You will use both the AWS Console and the Amazon Developer Portal in these labs, the latter requiring you to have or create a no-cost, no-credit-card-required account. No hardware device is required for any lab; an Alexa voice response simulation system is provided in the Amazon Developer Portal. Templates used in these labs can be adapted and extended to create your own Alexa skills and offer them to the worldwide Alexa user community.

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Have you joined the Cloud ACE 30-day challenge yet? Jump ahead of the pack with today's game. You'll get hands-on experience with key Google Cloud tools and you'll be 4 labs closer to completing the challenge and earning your badge. Play to ACE your new year's resolutions!

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O Kubernetes é o sistema de orquestração de contêineres mais conhecido, e o Google Kubernetes Engine foi criado especificamente para oferecer suporte a implantações gerenciadas do Kubernetes no Google Cloud. Neste curso de nível avançado, você vai praticar a configuração de contêineres e imagens Docker e a implantação de aplicativos completos do Kubernetes Engine. Você também vai aprender as habilidades práticas necessárias para integrar a orquestração de contêineres ao próprio seu fluxo de trabalho. Está procurando um laboratório com desafios práticos para demonstrar suas habilidades e validar seu conhecimento? Quando terminar o curso, faça o laboratório extra com desafio ao fim do curso Implantar aplicativos do Kubernetes no Google Cloud para receber um selo digital exclusivo do Google Cloud.

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Tis the season for hot chocolate, gingerbread cookies and stocking stuffers! If you work in retail, it's also the season for long days and high stress. Learn how Google Cloud can make your life easier by bringing holiday cheer-filled solutions to your retail website, supply chain management, and more. In today's game, predict pricing and customer purchasing habits with GCP's data and ML tools. Happy holidays from our Qwiklabs family to yours!

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Big Data, machine learning e inteligência artificial são áreas da computação que estão em alta. Mas esses são campos muito especializados, e é difícil encontrar materiais introdutórios sobre eles. Felizmente, o Google Cloud oferece serviços fáceis de usar nessas áreas, e com este curso de nível básico, você já pode começar sua jornada com ferramentas como o BigQuery, a API Cloud Speech e o Video Intelligence.

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Learn how to deploy and administer databases running on Microsoft Windows Server in Amazon EC2 and Amazon RDS.

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Learn how to deploy Microsoft Windows Server-based applications in the AWS cloud, including Microsoft Exchange, Dynamics CRM and SharePoint.

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Learn how to develop applications in Microsoft Visual Studio leveraging AWS services.

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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. 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…

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Welcome to the serverless Pet Theory game! Click "Join this Game". To modify your player name or avatar, go to your My Account page at https://google.qwiklabs.com. Points are earned by completing the steps in the lab.... and bonus points are earned for speed! Be sure to complete each lab by selecting the END option to get the maximum points. Please respect the GCP resource quotas that have been allocated. Otherwise, you'll waste your Game time and gain fewer points.

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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.

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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.

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Não é novidade que o machine learning é um dos campos que mais cresce na área de tecnologia, e o Google Cloud Platform tem sido fundamental para esse desenvolvimento. Com diversas APIs, o GCP tem uma ferramenta para praticamente todos os jobs de machine learning. Neste curso introdutório, você vai praticar a aplicação do machine learning ao processamento de linguagem em laboratórios que permitem extrair entidades de textos e realizar análises sintáticas e de sentimento, além de usar a API Speech-to-Text para transcrição.

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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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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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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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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.

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For everyone using Google Cloud Platform for the first time, getting familar with gcloud, Google Cloud's command line, will help you get up to speed faster. In this quest, you'll learn how to install and configure Cloud SDK, then use gcloud to perform some basic operations like creating VMs, networks, using BigQuery, and using gsutil to perform operations.

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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Java. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Java applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Java applications straight away.

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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.

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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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Welcome to DevZone Quest, a set of labs to deepen your understanding of the technology behind the Cloud Showcase Experiments featured in the Google Cloud Next 2019 San Francisco DevZone.

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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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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.

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When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.

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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.

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If you’re looking to take your Google Cloud application to the next level, look no further than Deployment Manager. By automating the creation of GCP resources and services, Deployment Manager lets you focus on developing rather than maintaining. In this advanced-level quest, you will get hands on practice with Deployment Manager by building custom templates, automating Python and Jinja application instances, and scaling custom networks.

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Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.

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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.

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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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Este curso de nível introdutório mostra aos desenvolvedores de aplicativos como o ecossistema do Google Cloud facilita a criação de apps nativos da nuvem seguros, escalonáveis e inteligentes. Você vai aprender a desenvolver e escalonar aplicativos sem configurar uma infraestrutura, além de executar análises de dados, extrair insights dos dados e usar APIs de ML pré-treinadas para aproveitar os recursos de machine learning, mesmo se não for especialista no assunto. Também vamos mostrar como vários serviços do Google se integram perfeitamente a APIs para criar apps inteligentes.

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A segurança é uma prioridade indiscutível dos serviços do Google Cloud, por isso temos ferramentas específicas para garantir a proteção e a identidade nos seus projetos. Neste curso introdutório, você vai conhecer na prática o serviço Identity and Access Management (IAM) do Google Cloud, que é o melhor para gerenciar contas de usuários e máquinas virtuais. Você vai ganhar experiência com segurança de rede provisionando VPCs e VPNs, além de conhecer as ferramentas disponíveis para proteger contra ameaças e perda de dados.

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Este é o segundo curso de uma série de duas partes sobre faturamento do Google Cloud e os princípios essenciais da gestão de custos. Este curso é ideal para profissionais da área de finanças e/ou TI que são responsáveis por otimizar a infraestrutura em nuvem da organização. Aqui você você vai aprender diversas maneiras de controlar e otimizar seus custos no Google Cloud. Isso inclui configurar orçamentos e alertas, gerenciar limites de cota e aproveitar descontos por uso contínuo. Nos laboratórios práticos, você vai praticar o uso de diversas ferramentas para controlar e otimizar seus custos do Google Cloud ou influenciar suas suas equipes de tecnologia a aplicar as melhores práticas de otimização de custos.

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Este curso é mais adequado para quem trabalha em cargos de tecnologia ou finanças e é responsável por gerenciar os custos do Google Cloud. Você vai aprender a configurar uma conta de faturamento, organizar recursos e gerenciar permissões de acesso de faturamento. Nos laboratórios práticos, você vai saber como visualizar sua fatura, acompanhar seus gastos com o Google Cloud usando os relatórios de faturamento, analisar seus dados de faturamento com o BigQuery ou o Google Planilhas e criar dashboards de faturamento personalizados com o Looker Studio. As referências feitas a links nos vídeos podem ser acessadas no documento Outros recursos (em inglês).

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Neste curso, o usuário experiente do Google Cloud vai aprender a descrever e lançar recursos de nuvem com o Terraform, uma ferramenta de código aberto que transforma APIs em arquivos de configuração declarativos, que podem ser compartilhados entre os membros da equipe, tratados como código, editados, revisados e versionados. Nestes laboratórios práticos, você vai trabalhar com modelos de exemplo e aprenderá a lançar uma variedade de configurações, desde servidores simples até aplicativos com balanceamento de carga completo.

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Este curso introdutório conta com recursos exclusivos entre as outras ofertas de cursos. Os laboratórios foram criados para oferecer um treinamento prático aos profissionais de TI nos tópicos e serviços que aparecem na Certificação em Google Cloud Associate Cloud Engineer. Do IAM à rede, até a implantação do Kubernetes Engine, este curso é composto por laboratórios específicos que vão testar seus conhecimentos sobre o Google Cloud. Embora a prática com esses laboratórios ajude a desenvolver suas habilidades e conhecimento, recomendamos que você também estude pelo guia do exame e por outros recursos de preparação disponíveis.

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Redes são a base fundamental da computação em nuvem. Elas sustentam a estrutura do Google Cloud e conectam todos os recursos e serviços entre si. Este curso aborda os serviços de rede essenciais do Google Cloud e oferece exercícios práticos com ferramentas especializadas para desenvolver redes robustas. Você vai conhecer os detalhes das VPCs e aprenderá a criar balanceadores de carga de nível empresarial. Ao fazer o curso Como automatizar a implantação e gerenciar o tráfego em uma rede do Google Cloud, você terá a experiência prática necessária para começar a criar redes robustas imediatamente.

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Google Cloud is committed to supporting Windows workloads in its frameworks and services. In this advanced-level quest, you will get hands-on practice running many of the popular Windows services on Google Cloud. For example, you will learn how to instantiate Microsoft SQL databases, cloud tools for Powershell on Google Cloud Platform frameworks.

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Tenha uma vantagem competitiva com DevOps. O DevOps é um movimento organizacional e cultural que visa aumentar a velocidade da entrega de software, melhorar a confiabilidade do serviço e criar uma propriedade compartilhada entre as partes interessadas. Neste curso, você vai aprender a usar o Google Cloud para melhorar a velocidade, a estabilidade, a disponibilidade e a segurança da sua capacidade de entrega de software. A DevOps Research and Assessment se juntou ao Google Cloud. Como está a sua equipe? Faça este teste de múltipla escolha com cinco perguntas e descubra!

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Esta Quest de nível básico é exclusiva entre as outras ofertas do Qwiklabs. Os laboratórios foram criados para oferecer um treinamento prático aos profissionais de TI nos tópicos e serviços da certificação Associate Cloud Engineer do Google Cloud . Abrangendo desde IAM e serviços de rede até a implantação do Kubernetes Engine, esta Quest é composta de laboratórios específicos que colocarão à prova seu conhecimento sobre o GCP. Os laboratórios ajudarão a desenvolver suas habilidades, mas recomendamos que você também consulte o guia do exame e outros materiais preparatórios disponíveis.

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O Workspace é a plataforma de aplicativos colaborativos do Google, disponibilizada pelo Google Cloud. Neste curso introdutório, você vai adquirir experiência prática com os principais aplicativos do Workspace pela perspectiva do usuário. Embora existam muito mais aplicativos e componentes de ferramentas no Workspace do que os abordados aqui, você terá experiência com os apps principais: Gmail, Agenda, Planilhas e e alguns outros. Cada laboratório pode ser concluído entre 10 e 15 minutos, mas fornecemos tempo extra para você se familiarizar com os aplicativos por conta própria.

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A metodologia de migração de VM do Google Cloud apresenta uma diretriz definida e iterativa para os usuários. Nesta Quest, você realizará as quatro etapas da sequência de migração. Você também criará relatórios de avaliação com o CloudPhysics, usará os modelos de infraestrutura como código do Terraform, realizará migrações lift-and-shift com o Cloud Endure e replicará aplicativos como cargas de trabalho nativas da nuvem. Conclua esta Quest para conhecer na prática as soluções de migração de VM desenvolvidas pelo Google. Como bônus, incluímos um laboratório básico sobre o Google Kubernetes Engine para quem precisa se atualizar.

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Este curso é perfeito para desenvolvedores de nuvem iniciantes que estão procurando prática além do Google Cloud Essentials. Você vai ganhar experiência em laboratórios que se aprofundam no Cloud Storage e em outros serviços de aplicativos fundamentais, como Monitoring e Cloud Functions. Você vai desenvolver habilidades importantes que podem ser aplicadas a qualquer iniciativa do Google Cloud.

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Neste curso introdutório, você terá prática com as ferramentas e os serviços essenciais do Google Cloud. Vídeos opcionais estão disponíveis para fornecer mais contexto e revisar os conceitos abordados nos laboratórios. O curso Google Cloud Essentials é uma introdução recomendada para quem quer aprender sobre o Google Cloud. Você pode entrar com pouco ou nenhum conhecimento prévio em nuvem e sair com habilidades práticas que você pode aplicar ao seu primeiro projeto no Google Cloud. Desde a criação de comandos do Cloud Shell e a implantação da sua primeira máquina virtual até a execução de aplicativos no Kubernetes Engine ou com balanceamento de carga, o Google Cloud Essentials é uma excelente introdução aos recursos básicos da plataforma.

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