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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1186 results
  1. Lab Featured

    Getting started with Firebase Web

    In this hands-on lab, you will learn about the Firebase product suite with Web.

  2. Lab Featured

    Migrating an application and data from Apache Cassandra™ to DataStax Enterprise

    In this lab, you will learn how to migrate an application running on Apache Cassandra™ to DataStax Enterprise (DSE). To do this, you will deploy a Cassandra™ database and an application that writes data into it. You will then deploy a DataStax Enterprise database and connect the same application to the database. F…

  3. Lab Featured

    Scaling VM-Series to Secure Google Cloud Networks

    Secure Google Cloud hub-and-spoke topology with VM-Series at scale.

  4. Lab Featured

    Build a Serverless Web App with Firebase

    In this lab you will create a serverless web app with Firebase, which allows users to upload information and make appointments with the fictional Pet Theory clinic.

  5. Lab Featured

    Cloud Armor Preconfigured WAF Rules

    Mitigate some common vulnerabilities by using Google Cloud Armor WAF rules.

  6. Lab Featured

    Vertex AI: Training and Serving a Custom Model

    In this lab, you will use Vertex AI to train and serve a TensorFlow model using code in a custom container.

  7. Lab Featured

    Build an LLM and RAG-based Chat Application with AlloyDB and Vertex AI

    In this lab, you create a chat application that uses Retrieval Augmented Generation, or RAG, to augment prompts with data retrieved from AlloyDB.

  8. Lab Featured

    Prepare Data for ML APIs on Google Cloud: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Prepare Data for ML APIs on Google Cloud course. You should be familiar with the content of the labs before attempting this lab.

  9. Lab Featured

    Distributed Image Processing in Cloud Dataproc

    In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

  10. Lab Featured

    Create Text Embeddings for a Vector Store using LangChain

    In this lab, you learn how to use LangChain to store documents as embeddings in a vector store. You will use the LangChain framework to split a set of documents into chunks, vectorize (embed) each chunk and then store the embeddings in a vector database.