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Comprehensive preparation for the Professional Cloud Security Engineer certification, covering key exam topics through lectures, diagnostics, and personalized study guidance.
Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual stud…
This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
Explore Google Chat's messaging, spaces, and app integration features for effective team communication and collaboration within Google Workspace.
Explore cloud-based solutions for modernizing IT infrastructure and applications, focusing on compute options, development challenges, and API integration for improved scalability and innovation.
Learn about the attention mechanism in neural networks, its applications in machine learning tasks, and how it enhances performance in various AI applications.
Comprehensive preparation for the Google Workspace Administrator certification exam, covering key topics through readings, diagnostics, and personalized study planning.
Learn to query public tables and load sample data into BigQuery using the Web UI. Practice creating datasets, loading data, and running queries on custom and public datasets.
In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.
This challenge lab tests your skills and knowledge from the labs in the <b>Analyze BigQuery data in Connected Sheets<b> quest. You should be familiar with the content of labs before attempting this lab.
In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.
In this lab, you will learn about the fundamental LookML structures, create a view, and join the new view to an existing explore.
In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.
This challenge lab tests your skills and knowledge from the labs in the <b>App Building with AppSheet<b> quest. You should be familiar with the content of labs before attempting this lab.
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