The Arcade Trivia February 2024 Week 2
Earned fév. 10, 2024 EST
Level 1: Google Cloud Console
Earned fév. 7, 2024 EST
Introduction to Generative AI
Earned jan. 25, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned mai 29, 2021 EDT
Optimize Costs for Google Kubernetes Engine
Earned mai 22, 2021 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned mai 7, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned avr. 19, 2021 EDT
Hey there! You're invited to game on with the Arcade Trivia for February Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the February Trivia Week 2 badge!
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Google Cloud Console serves as a centralized hub where users can access and control their cloud infrastructure, services, and applications. It is essential for users, developers, and administrators who work with Google Cloud Platform. Game on to get familiar with Google Cloud Console, and get your hands on a Google Cloud Credential. No prior experience required!
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.
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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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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.
The Arcade Trivia February 2024 Week 2
Earned fév. 10, 2024 EST
Level 1: Google Cloud Console
Earned fév. 7, 2024 EST
Introduction to Generative AI
Earned jan. 25, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned mai 29, 2021 EDT
Optimize Costs for Google Kubernetes Engine
Earned mai 22, 2021 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned mai 7, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned avr. 19, 2021 EDT