Discover Google Cloud training your way
With 980+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!
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Lab Featured App Dev: Adding User Authentication to your Application - Python
In this lab, you will enhance the online Quiz application to use Firebase authentication.
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Lab Featured Streamlining Wildlife Image Classification in BigQuery with an Imported Model
In this lab, you learn how to streamline an image classification workflow in BigQuery using an imported model (PyTorch model created in ONNX format), and Google SQL queries.
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Lab Featured Protecting APIs with Apigee X and Cloud Armor
In this lab, you use an Apigee X threat protection policy and Cloud Armor to protect your APIs.
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Lab Featured Build Google Cloud Infrastructure for Azure Professionals: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Build Google Cloud Infrastructure for Azure Professionals course. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Using the Natural Language API from Google Docs
In this hands-on lab, you use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.
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Lab Featured Data Catalog: Qwik Start
In this lab, you explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Lab Featured Deploy and Troubleshoot a Website: Challenge Lab
Your challenge is to deploy a website in the public cloud
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Lab Featured Using Specialized Processors with Document AI (Python)
In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.