Ihre Kompetenzen in der Google Cloud Console anwenden
Kitty Cai
Mitglied seit 2021
Silver League
2900 Punkte
NCAA® March Madness®: Bracketology with Google Cloud
Earned Aug 14, 2021 EDT
Using the Cloud SDK Command Line
Earned Aug 13, 2021 EDT
Google Workspace Essentials
Earned Aug 12, 2021 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Aug 11, 2021 EDT
BigQuery für Machine Learning
Earned Aug 9, 2021 EDT
Load Balancing in der Compute Engine implementieren
Earned Aug 9, 2021 EDT
Google Cloud Essentials
Earned Aug 8, 2021 EDT
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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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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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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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
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Sie möchten Machine-Learning-Modelle mithilfe von SQL in Minuten statt in Stunden erstellen? BigQuery ML sorgt für eine breite Nutzung von Machine Learning, indem es Datenanalysten ermöglicht, ML-Modelle zu erstellen, zu trainieren und zu bewerten sowie mit den Modellen und vorhandenen SQL-Tools und ‑Fähigkeiten Vorhersagen zu treffen. In dieser Lab-Reihe experimentieren Sie mit verschiedenen Modelltypen und erfahren, was für ein gutes Modell notwendig ist.
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Mit dem Skill-Logo Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: Schreiben von gcloud-Befehlen, Verwenden von Cloud Shell, Erstellen und Bereitstellen von virtuellen Maschinen in der Compute Engine und Konfigurieren von Netzwerk- und HTTP-Load-Balancern. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud vergeben wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer praxisnahen Geschäftssituation anwenden. Absolvieren Sie eine kursspezifische Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Skill-Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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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.
NCAA® March Madness®: Bracketology with Google Cloud
Earned Aug 14, 2021 EDT
Using the Cloud SDK Command Line
Earned Aug 13, 2021 EDT
Google Workspace Essentials
Earned Aug 12, 2021 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Aug 11, 2021 EDT
BigQuery für Machine Learning
Earned Aug 9, 2021 EDT
Load Balancing in der Compute Engine implementieren
Earned Aug 9, 2021 EDT
Google Cloud Essentials
Earned Aug 8, 2021 EDT