Nasseredine Bajwa
Member since 2019
Gold League
12245 points
Reliable Google Cloud Infrastructure: Design and Process
Earned Eki 15, 2026 EDT
Manage Kubernetes in Google Cloud
Earned Eki 9, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned Eki 8, 2026 EDT
Monitor and Log with Google Cloud Observability
Earned Eyl 11, 2026 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus
Earned Eyl 11, 2026 EDT
Logging and Monitoring in Google Cloud
Earned Eyl 10, 2026 EDT
Implement DevOps Workflows in Google Cloud
Earned Tem 6, 2026 EDT
Implement CI/CD Pipelines on Google Cloud
Earned May 11, 2026 EDT
Build Infrastructure with Terraform on Google Cloud
Earned Şub 19, 2024 EST
Build Serverless Applications with Cloud Run Functions
Earned Ağu 29, 2023 EDT
Getting Started with Terraform for Google Cloud
Earned May 14, 2023 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned May 10, 2023 EDT
Essential Google Cloud Infrastructure: Core Services
Earned May 8, 2023 EDT
Essential Google Cloud Infrastructure: Foundation
Earned May 8, 2023 EDT
Build a Certification Study Guide: ACE Exam Prep
Earned May 5, 2023 EDT
Getting Started with Google Kubernetes Engine
Earned Nis 28, 2023 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals
Earned Nis 28, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned Nis 11, 2023 EDT
Cloud Hero IAM & Security Skills
Earned Nis 5, 2023 EDT
BigQuery Verilerinden Analiz Elde Etme
Earned Şub 12, 2021 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned Şub 12, 2021 EST
Holiday Speedrun
Earned Ara 30, 2020 EST
Work and Play: Shipping in the Cloud
Earned Ara 13, 2020 EST
Create ML Models with BigQuery ML
Earned Ara 13, 2020 EST
Cloud Hero: Data & ML
Earned Kas 2, 2020 EST
Work and Play: Farming in the Cloud
Earned Kas 1, 2020 EST
15 Days of Kubernetes
Earned Eki 17, 2020 EDT
Deploy Kubernetes Applications on Google Cloud
Earned Eki 17, 2020 EDT
Google Cloud Ağınızı Geliştirme
Earned Eyl 7, 2020 EDT
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Eyl 6, 2020 EDT
Compute Engine İçin Cloud Load Balancing'i Uygulama
Earned Ağu 29, 2020 EDT
BQML 15 Day Challenge May 2020
Earned May 29, 2020 EDT
BigQuery for Machine Learning
Earned May 25, 2020 EDT
Cinco de Mayo Speedrun
Earned May 7, 2020 EDT
Earth Day Speedrun
Earned Nis 25, 2020 EDT
Google Developer Essentials
Earned Nis 25, 2020 EDT
Women's Month Speedrun
Earned Mar 15, 2020 EDT
Carnival Speedrun
Earned Mar 3, 2020 EST
Kubernetes in Google Cloud
Earned Mar 2, 2020 EST
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Mar 2, 2020 EST
Cloud Hero Speedrun: Leap Day
Earned Mar 1, 2020 EST
Cloud Hero Speedrun: ACE Challenge Invitational
Earned Şub 8, 2020 EST
Bulut Mühendisliği
Earned Oca 14, 2020 EST
Cloud Hero Speedrun: ACE Challenge Game 2
Earned Oca 12, 2020 EST
Temel: Altyapı
Earned Oca 5, 2020 EST
Cloud Hero Speedrun: ACE Challenge Game 1
Earned Oca 4, 2020 EST
Google Cloud Essentials
Earned Ara 2, 2019 EST
[DEPRECATED] Data Engineering
Earned Ağu 23, 2019 EDT
OK Google! Speedrun
Earned Haz 21, 2019 EDT
This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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Earn the Introductory skill badge by completing the Configure Service Accounts and IAM Roles for Google Cloud course, where you learn about service accounts, custom roles, and how to set permissions using gcloud .
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.
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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating and managing Git repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud skill badge course where you learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You interact with the Google Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course teaches you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you get hands-on experience deploying applications to both GKE and Cloud Run.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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Learn how to use Gemini Notebook to create a personalized study guide for the Associate Cloud Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook , and learn how to use a study guide to practice for a certification exam.
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Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
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Giriş düzeyindeki BigQuery Verilerinden Analiz Elde Etme beceri rozetini alarak şu konulardaki becerilerinizi gösterin: SQL sorguları yazma, herkese açık tabloları sorgulama, örnek verileri BigQuery'ye yükleme, BigQuery'deki sorgu doğrulayıcı ile yaygın söz dizimi sorunlarını giderme ve BigQuery verilerine bağlanarak Data Studio'da rapor oluşturma.
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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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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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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become your a cloud hero! This game is all about how GCP helps you get the most out of your data. You will compete to see who can finish the game with the highest score. Earn the 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. All players will be awarded the game badge.
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Farming is a dominant sector, employing half of the labor force in India. Recent innovations have led to higher yield seeds and improved soil analyses, but access to new tech is challenging for small farmers. That’s where AgroStar’s multilingual mobile app comes in, connecting a million farmers in the cloud with agronomy, data science, and analytics - and running on Google Cloud. You can master key GCP tools the team is currently using to improve response times by 85% and support knowledge center updates for 1 million mobile devices in near real time - even building a discussion platform in 3 weeks. 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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We're almost through our 15 Day Challenge! Want a way to show off those new skills? Complete the Deploy to Kubernetes challenge in today's special, one-lab game
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Google Cloud Ağınızı Geliştirme kursunu tamamlayarak bir beceri rozeti kazanın. IAM rollerini keşfetme ve proje erişimi ekleme/kaldırma, VPC ağları oluşturma, Compute Engine sanal makinelerini dağıtma ve izleme, SQL sorguları yazma ve çeşitli dağıtım yaklaşımlarıyla Kubernetes'i kullanarak uygulama dağıtma gibi uygulamaları dağıtıp izlemeyle ilgili birden çok yöntemi öğreneceksiniz.
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Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta Cloud Storage, Identity and Access Management, Cloud Functions ve Pub/Sub gibi teknolojilerin temel özelliklerini kullanarak depolama odaklı bulut altyapısı oluşturma ve bu altyapıyla bağlantı kurmayı öğreneceksiniz.
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Giriş düzeyindeki Compute Engine İçin Cloud Load Balancing'i Uygulama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Compute Engine'de sanal makineler oluşturma ve dağıtma. Ağ ve uygulama yük dengeleyicileri yapılandırma.
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Welcome Winners! We hope you enjoyed the BQML Challenge. Now it is Game Time!
You will compete to see who can finish the game with the highest score.
Earn the 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.
All players will be awarded the game badge.
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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.
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Welcome Gamers! It's Cinco de Mayo. Celebrate with us by playing today's game. Good news if you're interested in Machine Learning - these labs give you a variety of ML scenarios, with more to come for the rest of May. Challenge yourself to complete each task as quickly and accurately as possible to score points! Good Luck, buena suerte!
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22nd April is celebrated as the earth day worldwide. Perform some interesting labs and celebrate this Earth day with the Earth Day Speedrun. 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. All players will be awarded the game 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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Welcome, gamers! Here is a game for celebrating Women's Month! Hope you have with Big Data and Machine Learning! You will compete to see who can finish the game with the most points. Speed is important, and so is accuracy! Start taking the game labs 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 the lab to get the maximum points. You can take each lab up to 5 times.
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The carnival is not yet over! Enjoy an extended carnival with this speedrun and get hands on training on Kubernetes. 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. All players will be awarded the game badge.
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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.
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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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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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Way to start 2020 strong - congrats on completing the Cloud ACE 30-day challenge! Put what you've learned to the test. In this game, you do not get step-by-step instructions. Instead, you get a scenario. Your challenge? Solve the problem presented in the scenario. Don't forget you get points for speed! Good luck!
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Bu giriş seviyesi kurs, diğer kurs teklifleri arasında benzersiz bir yere sahiptir. Laboratuvarlar, BT profesyonellerine Google Cloud Certified Associate Cloud Engineer sertifikasında geçen konular ve hizmetlerle ilgili uygulamalı alıştırma imkanı tanımak üzere tasarlandı. Bu kurs; IAM, ağ iletişimi ve Kubernetes Engine dağıtımı gibi alanlarda Google Cloud bilginizi test edecek özel laboratuvarlardan oluşur. Bu tür laboratuvarlarda yapacağınız alıştırmalarla becerilerinizi geliştirebilirsiniz ancak sınav kılavuzunu ve diğer mevcut hazırlık kaynaklarını da incelemenizi öneririz.
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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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Bulut geliştirme konusunda yeniyseniz ve Google Cloud'un Temel Özellikleri kursunun da ötesinde uygulamalı alıştırma yapmak istiyorsanız bu kurs tam size göre. Cloud Storage'ın yanı sıra Monitoring ve Cloud Functions gibi diğer önemli uygulama hizmetlerini ayrıntılı bir şekilde inceleyen laboratuvarlarla uygulamalı deneyim kazanacaksınız. Her türlü Google Cloud girişiminde kullanabileceğiniz değerli beceriler geliştireceksiniz.
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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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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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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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Welcome, gamers! Over a billion: that's how many Google Assistant devices will be out in the world by the end of the year. Want in? Learn to build your own Google Assistant app and win points in today's Qwiklabs game. 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. All players will be awarded the game badge. The top 10 players get 25 free Qwiklabs credits. And the winner? Eligible to receive a Google Home mini (if available from the Google Store in your location - we'll be in touch after the game with details). Hurry, the game is open until Friday at midnight, EDT. Ready to play?
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