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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Atelier Sélection Getting started with Firebase Web
In this hands-on lab, you will learn about the Firebase product suite with Web.
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Atelier Sélection 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…
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Atelier Sélection Scaling VM-Series to Secure Google Cloud Networks
Secure Google Cloud hub-and-spoke topology with VM-Series at scale.
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Atelier Sélection 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.
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Atelier Sélection Cloud Armor Preconfigured WAF Rules
Mitigate some common vulnerabilities by using Google Cloud Armor WAF rules.
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Atelier Sélection 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.
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Atelier Sélection 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.
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Atelier Sélection 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.
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Atelier Sélection 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.
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Atelier Sélection 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.