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!
1056 results
-
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.
-
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.
-
Lab Featured Create and Manage AlloyDB Instances: Challenge Lab
This challenge lab tests your ability to create and manage AlloyDB instances and databases on Google Cloud.
-
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.
-
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.
-
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.
-
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.
-
Lab Featured Summarize Text using SQL and LLMs in BigQuery ML
In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.
-
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.