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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753 results
  1. Lab Featured

    Generative AI: Go Spanish

    Arcade chatbot lab to learn about Spanish

  2. Lab Featured

    Arcade Hero: Enter the Cloud Function Ruby

    Arcade Hero: Cloud Function Level One

  3. Lab Featured

    Pub/Sub: Qwik Start - Console

    This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Cloud console. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.

  4. Lab Featured

    Build a Chat Application using the PaLM 2 API on Cloud Run

    In this lab, you build and deploy an AI-based chat application on Cloud Run that utilizes the PaLM 2 API's Chat Bison model (text-chat).

  5. Lab Featured

    Perform Predictive Data Analysis in BigQuery: Challenge Lab

    This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.

  6. Lab Featured

    APIs Explorer: Cloud Storage

    In this lab you will use the APIs Explorer tool to create Cloud Storage buckets, upload data to the bucket, and remove content from buckets.

  7. Lab Featured

    App Dev: Setting up a Development Environment - Python

    In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.

  8. Lab Featured

    VPC Network Peering

    Google Cloud Virtual Private Cloud (VPC) Network Peering allows private connectivity across two VPC networks regardless of whether or not they belong to the same project or the same organization.

  9. Lab Featured

    Setting Up Cost Control with Quota

    In this lab you will query a large dataset, update the BigQuery API quota, and then optimize your query to run within quota.

  10. Lab Featured

    Summarize Text using SQL and LLMs in BigQuery ML

    In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.