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 Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab
In this challenge lab you will train, deploy, and create a model pipeline using Vertex AI.
-
Lab Featured Fundamentals of Cloud Logging
In this hands-on lab, you learn how to use Cloud Logging to accumulate application logs in a single place, filter to reach the required log, understand how to create logs based metrics for advanced analysis, examine the audit logs use case, and export logs for compliance and/or advanced analysis needs.
-
Lab Featured Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
-
Lab Featured Managing Threat Intelligence with Cortex XSOAR
Work on a real life threat hunting scenario to learn how to successfully manage your threat intelligence data with Cortex XSOAR TIM and automate response actions using threat intel management playbooks
-
Lab Featured Datadog: Getting started with the Helm Chart
In this lab, you will learn how to use the Datadog Helm Chart.
-
Lab Featured Leveraging NetApp Cloud Volume ONTAP Remote Caching Capabilities for EDA Workloads
In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP remote caching for EDA workloads.
-
Lab Featured Supervised Fine Tuning with Gemini for Question & Answering
In this lab, you will utilize fine-tuning with Gemini using the Vertex AI Supervised Tuning feature. Supervised Tuning allows you to use your training data to refine the base model's capabilities toward specific tasks.
-
Lab Featured GKE Autopilot: Qwik Start
GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.
-
Lab Featured Using Role-based Access Control in Kubernetes Engine
After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.
-
Lab Featured Material Components for Flutter Basics
Design a basic frontend for a mobile app using Material Components for Flutter.