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!
-
Lab Featured Introduction to Function Calling with Gemini
In this lab, you learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to make function calls via the Gemini Pro (gemini-pro) model.
-
Lab Featured Monitoring and Logging for Cloud Functions
Use Cloud Monitoring to view Cloud Functions details in the Google Cloud console, and Cloud Logging to look at the data for your cloud function.
-
Lab Featured A Tour of Cloud Networking
This lab delivers an overview of the key cloud networking building blocks
-
Lab Featured Ingesting New Datasets into BigQuery
This lab focuses on how to ingest new datasets into tables inside of BigQuery.
-
Lab Featured App Engine: Qwik Start - Python
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.
-
Lab Featured Managing Environments with Dialogflow CX
In this lab, you'll explore Managing Environments with Dialogflow.
-
Lab Featured Setting up a Private Kubernetes Cluster
Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.
-
Lab Featured Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…
-
Lab Featured Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery
In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.
-
Lab Featured Get Started with Google Workspace Tools: Challenge Lab
In this lab you will configure your Workspace as a group member.