Azeemullah Abdeen
Jest członkiem od 2019
Liga srebrna
6500 pkt.
Deploy Kubernetes Applications on Google Cloud
Earned lis 5, 2020 EST
Tworzenie witryny w Google Cloud
Earned paź 31, 2020 EDT
Monitor and Log with Google Cloud Observability
Earned paź 26, 2020 EDT
Konfigurowanie środowiska programistycznego w Google Cloud
Earned paź 24, 2020 EDT
Understand Your Google Cloud Costs
Earned paź 24, 2020 EDT
Wdrażanie równoważenia obciążenia Cloud Load Balancing w Compute Engine
Earned paź 20, 2020 EDT
Google Developer Essentials
Earned sie 16, 2019 EDT
BigQuery for Machine Learning
Earned sie 5, 2019 EDT
[DEPRECATED] Data Engineering
Earned sie 5, 2019 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned lip 19, 2019 EDT
Google Workspace Essentials
Earned lip 17, 2019 EDT
Websites & Web Apps
Earned cze 19, 2019 EDT
DEPRECATED Cloud Architecture
Earned cze 13, 2019 EDT
Podstawy: infrastruktura
Earned cze 13, 2019 EDT
Data Science on Google Cloud
Earned cze 12, 2019 EDT
Deprecated Kubernetes Solutions
Earned cze 10, 2019 EDT
Kubernetes in Google Cloud
Earned cze 10, 2019 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned maj 30, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned maj 28, 2019 EDT
Machine Learning APIs
Earned maj 28, 2019 EDT
Podstawy: dane, uczenie maszynowe, AI
Earned maj 27, 2019 EDT
Podstawy Google Cloud
Earned maj 26, 2019 EDT
Cloud On Air: Big Query Game
Earned maj 24, 2019 EDT
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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Aby zdobyć odznakę umiejętności potwierdzającą opanowanie podstaw, ukończ kurs wprowadzający Tworzenie witryny w Google Cloud. Jest on oparty na serii materiałów wideo Get Cooking in Cloud i obejmuje te tematy: Wdrażanie witryny w Cloud RunHostowanie aplikacji internetowej w Compute EngineTworzenie, wdrażanie i skalowanie witryny w Google Kubernetes EngineMigracja z aplikacji monolitycznej do architektury mikroserwisów przy użyciu Cloud Build
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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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Aby zdobyć odznakę umiejętności, ukończ szkolenie Konfigurowanie środowiska programistycznego w Google Cloud, w trakcie którego dowiesz się, jak utworzyć i podłączyć infrastrukturę w chmurzę do przechowywania danych przy użyciu podstawowych funkcji technologii Cloud Storage, Identity and Access Management, Cloud Functions oraz Pub/Sub.
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This course is suitable for technology or finance roles managing Google Cloud costs. Learn to set up a billing account, organize resources, and manage access permissions. In hands-on labs, you view invoices and analyze billing data with BigQuery. You also use Google Sheets and create dashboards with Data Studio. You find references from the videos in this Additional Resources document.
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Ukończ szkolenie wprowadzające Wdrażanie równoważenia obciążenia Cloud Load Balancing w Compute Engine, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: tworzenie i wdrażanie maszyn wirtualnych w Compute Engine oraz konfigurowanie sieciowych systemów równoważenia obciążenia i systemów równoważenia obciążenia aplikacji.
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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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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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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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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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Workspace is Google's collaborative applications platform, delivered from Google Cloud. In this introductory-level course you will get hands-on practice with Workspace’s core applications from a user perspective. Although there are many more applications and tool components to Workspace than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications.
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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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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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Jeśli dopiero zaczynasz programować w chmurze i szukasz praktycznych ćwiczeń wykraczających poza treści z kursu „Podstawy Google Cloud”, ten kurs jest dla Ciebie. Zdobędziesz praktyczne doświadczenie dzięki modułom poświęconym Cloud Storage i innym kluczowym usługom aplikacji, takim jak Monitoring i Cloud Functions. Zdobędziesz cenne umiejętności, które przydadzą się w każdym przedsięwzięciu z zastosowaniem Google Cloud.
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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.
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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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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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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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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Big data, uczenie maszynowe i sztuczna inteligencja to najpopularniejsze tematy współczesnej informatyki, jednak to dość wyspecjalizowane dziedziny i trudno znaleźć materiały wprowadzające do nich. Na szczęście Google Cloud udostępnia przyjazne dla użytkownika usługi w tych obszarach, a dzięki temu kursowi dla początkujących możesz poznać podstawy narzędzi takich jak BigQuery, Cloud Speech API i Video Intelligence.
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Na tym kursie dla początkujących nauczysz się używać podstawowych narzędzi i usług Google Cloud. Dostępne są opcjonalne filmy zapewniające szerszy kontekst i pomagające powtórzyć pojęcia omówione podczas laboratoriów. Podstawy Google Cloud to kurs zalecany jako pierwszy dla osób poznających Google Cloud – możesz zacząć naukę, mając minimalną albo nawet zerową wiedzę o chmurze, a skończyć z praktycznymi umiejętnościami, które wykorzystasz w swoim pierwszym projekcie Google Cloud. Od wpisywania poleceń w Cloud Shell i wdrażania pierwszej maszyny wirtualnej po uruchamianie aplikacji w Kubernetes Engine lub aplikacji z równoważeniem obciążenia, Podstawy Google Cloud to doskonałe wprowadzenie do podstawowych funkcji platformy.
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Do you want to learn more about BigQuery Machine Learning (BQML)! Click "Join this Game". BMQL is a Google Cloud product in Beta that enables users to create and execute machine learning models in BigQuery using SQL queries.
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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