On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
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Lab Featured Google Cloud SDK: Qwik Start - Redhat/Centos
In this hands-on lab you will learn how to perform basic tasks in Cloud Storage using the gcloud command-line tool. For a short preview, watch Cloud SDK - Essential Command-Line Tools for Google Cloud Platform.
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Lab Featured Configuring IAM Permissions with gCloud - Azure
In this lab introduces you will use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.
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Lab Featured Design Conversational Flows for your Agent
Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.
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Lab Featured Integrate Private Service Connect with Service Directory
This lab demonstrates how to integrate PSC and Service Directory.
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Lab Featured Responding to Cloud Logging Messages with Cloud Functions
In this lab you will learn how to use Cloud Functions to do lightweight processing of Cloud Logging messages
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Lab Featured Monitoring and Logging for Cloud Functions
Use Cloud Monitoring to view Cloud Functions details in the Google Cloud console, and Cloud Logging to look at the data for your cloud function.
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Lab Featured Configuring Private Google Access and Cloud NAT
In this lab, you configure Private Google Access and Cloud NAT for a VM instance that doesn't have an external IP address. Then, you verify access to public IP addresses of Google APIs and services and other connections to the internet.
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Lab Featured HTTPS Content-Based Load Balancer with Terraform
This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.
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Lab Featured Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…
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Lab Featured ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)
In this lab, you build several data pipelines that ingest and transform data from a publicly available dataset into BigQuery.