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 Introduction to Function Calling with Gemini
In this lab, you learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to make function calls via the Gemini Pro (gemini-pro) model.
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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 Managing Deployments Using Kubernetes Engine
Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.
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Lab Featured Enhancing Google Cloud Network Security
Advancing your Google Cloud network security with VM-Series, Cloud IDS, and XSOAR.
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Lab Featured Continuous Delivery with Jenkins in Kubernetes Engine
In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.
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Lab Featured Cloud DNS - Traffic Steering using Geolocation Policy
In this lab you will configure and test the Geolocation routing policy.
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Lab Featured Setting up a Private Kubernetes Cluster
Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.
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Lab Featured Getting Started with the Vertex AI Gemini API and Python SDK
In this lab, you will learn how to use the Vertex AI SDK for Python to call the Vertex AI Gemini API.
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Lab Featured Use Charts in Google Sheets
Create charts using Google Sheets to share your data in interesting ways.
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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.