Discover Google Cloud training your way
With 700+ 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!
684 results
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Lab Featured Using BigQuery Omni with AWS
In this lab, you will run BigQuery analytics on data stored in AWS S3 using BigQuery Omni.
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Lab Featured A Tour of Google Cloud Sustainability
In this hands-on lab, you will learn why Google Cloud is the cleanest cloud in the industry by exploring and utilizing sustainability tools..
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Lab Featured Develop No-Code Chat Apps with AppSheet
In this lab, you'll use AppSheet to create a no-code app for Google Chat.
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Lab Featured Identify different batch and streaming data sources
Differentiate between batch and streaming data sources, formats, and frequency
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Lab Featured Navigate Security Decisions with Gemini
In this lab, you will learn how to use Gemini, an AI-powered collaborator in Google Cloud, to navigate and understand different areas of security in your environment in Security Command Center.
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Lab Featured BigQuery Soccer Data Analysis
Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
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Lab Featured BigQuery Soccer Data Analytical Insight
Learn how to create deeper analytical insights from soccer event data using BigQuery.
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Lab Featured BigQuery Soccer Data Ingestion
Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
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Lab Featured Using Specialized Processors with Document AI (Python)
In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.
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Lab Featured BigQuery Machine Learning using Soccer Data
Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
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Lab Featured Share Data using Google Data Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Share Data using Google Data Cloud course. Are you ready for the challenge?
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Lab Featured Secure Software Supply Chain: Create and Use Cloud Workstations
In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.
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Lab Featured Optical Character Recognition (OCR) with Document AI (Python)
In this lab, you will learn how to perform Optical Character Recognition using the Document AI API with Python.
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Lab Featured Connect to Cloud SQL from an Application in Google Kubernetes Engine
This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.
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Lab Featured Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Translate Text with the Cloud Translation API
Cloud Translation translates an arbitrary string into any supported language. In this hands-on lab, you use the Cloud Translation API to detect the language of a text, and then translate the text.
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Lab Featured Loading Data into Cloud SQL
In this lab, you import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
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Lab Featured Pub/Sub: Qwik Start - Python
In this lab, you learn about Pub/Sub and how to create a topic and subscriber with a Python script, and then publish and view messages. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.
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Lab Featured Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud
In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.
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Lab Featured Introducing tcpdump
Let's introduce tcpdump and some of its features. We'll cover how to use tcpdump and what some of its flags do, as well as how to interpret the output. We will also practice saving packet captures to files and reading them back.
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Lab Featured Creating PDFs with Go and Cloud Run
Learn how to develop an application to create PDFs on Google Cloud using Serverless technologies and Go.
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Lab Featured Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.
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Lab Featured Form Parsing with Document AI (Python)
In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.
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Lab Featured Dataplex: Qwik Start - Command Line
This lab shows you how to get started with Dataplex using the command line by walking you through creating a lake, adding a zone, attaching and detaching assets, and deleting zones and lakes.
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Lab Featured Pub/Sub: Qwik Start - Command Line
This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Google Cloud command line. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.
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Lab Featured Speech to Text Transcription with the Cloud Speech API
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.
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Lab Featured Using the Google Cloud Speech API: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Using the Google Cloud Speech API quest. You should be familiar with the content of labs before attempting this lab.
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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.
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Lab Featured Online Data Migration to Cloud Spanner using Striim
In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.
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Lab Featured Deploy Secure Endpoints for Users with ChromeOS
In this lab, you'll set up ChromeOS device and users & browsers policies.
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Lab Featured It Speaks! Create Synthetic Speech Using Text-to-Speech
In this lab, you create a series of audio files using the Text-to-Speech API, then listen to them to compare the differences.
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Lab Featured Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution
In this lab, you learn how to deploy and test a Visual Inspection AI Component Anomaly Detection solution.
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Lab Featured Cloud Spanner - Defining Schemas and Understanding Query Plans
In this lab you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.
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Lab Featured Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution
In this lab, you learn how to deploy and test a Visual Inspection AI Cosmetic Anomaly Detection solution.
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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 Predict Taxi Fare with a BigQuery ML Forecasting Model
In this lab, you explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a machine learning model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.
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Lab Featured Cloud Scheduler: Qwik Start
In this lab you'll create a recurring Cloud Scheduler job that specifies a Pub/Sub topic as the job target.
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Lab Featured A Tour of Google Cloud Hands-on Labs
In this first hands-on lab you will access the Google Cloud console and use these basic Google Cloud features: Projects, Resources, IAM Users, Roles, Permissions, and APIs.
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Lab Featured Build a Website on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Building Websites on Google Cloud Quest. You should be familiar with the content of these labs before attempting this lab.
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Lab Featured Migrating a Monolithic Website to Microservices on Google Kubernetes Engine
In this lab you will deploy a monolithic application to a Google Kubernetes Engine cluster, then break it down into microservices.
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Lab Featured Use APIs to Work with Cloud Storage: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Use APIs to Work with Cloud Storage quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Getting Started with Redis and RediSearch
In this lab you will use Redis and RediSearch, an add-on module that enables full-text search and secondary indexing in Redis, to install and run a Redis instance, import example hashes, index them with RediSearch, and query them.
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Lab Featured Filtering Explores with LookML
In this lab, you will learn how to filter explores with LookML
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Lab Featured App Engine: Qwik Start - Go
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
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Lab Featured Cloud Spanner - Database Fundamentals
In this lab you perform basic administrative tasks within a Cloud Spanner instance.
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Lab Featured Cloud Source Repositories: Qwik Start
In this lab you will create a local Git repository that contains files for a sample App Engine application, add a GCP repository as a remote, and push the contents of the local repository.