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 APIs Explorer: Cloud SQL
In this lab, you will get hands-on practice with the Cloud SQL API and its associated methods by making calls through the APIs Explorer tool.
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Lab Featured Respond and recover from a data breach
Remediate a list of security issues based on a PCI compliance report
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Lab Featured Setting up Generative Knowledge Assist in the Agent Assist console
This lab provides a step-by-step approach to creating a Data Store, adding documents to the Data Store, creating a GKA infobot agent and attaching the Data Store to it, setting up an Agent Assist conversation profile, and linking it to the GKA Agent for Knowledge Assist using the Agent Assist console.
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Lab Featured Configure Secure RDP using a Windows Bastion Host: Challenge Lab
This is a Challenge Lab where you must complete a series of tasks within a limited time period. You will be asked to deploy the secure Windows machine that is not configured for external communication inside a new VPC subnet, then deploy the Microsoft Internet Information Server on that secure machine.
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Lab Featured Explore false positives through incident detection
Aanalyze a false positive threat using the Security Command Center (SCC) and take action to address it.
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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.
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Lab Featured Introduction to Cloud Bigtable (Java)
Learn how to avoid common mistakes with schema design, import data in a sequence file, and query your data using Cloud Bigtable with the Java HBase client.
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Lab Featured Migrate a MySQL Database to Google Cloud SQL: Challenge Lab
Your challenge is to migrate the database to Google Cloud SQL and then reconfigure the application so that it no longer relies on the local MySQL database.
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Lab Featured Enhance Text Generation with RAG, LangChain, and Vertex AI
In this lab, you use a LangChain "Chain" to orchestrate steps required to query a vector database and submit the results of the query to Gemini to obtain results based on a knowledge base. To do so, you embed a query submitted in a session in order to perform a nearest neighbor search on the vector store. Once res…