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 Generative AI with Vertex AI: Prompt Design
This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
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Lab Featured Creating a Data Transformation Pipeline with Cloud Dataprep
Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.
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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 Analyze Customer Reviews with Gemini Using SQL
Learn how to use BigQuery Machine Learning with remote models (Gemini) to analyze customer reviews using SQL.
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Lab Featured Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
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Lab Featured Detect and Investigate Threats with Security Command Center
In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…
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Lab Featured Programming Spanner Applications with Python
In this lab, you run the Python code to create Spanner instances and databases. You also see how to create, retrieve, and delete records from databases using both the Google Standard SQL and PostgreSQL dialects.
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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 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.