Scopri la formazione Google Cloud a modo tuo.

Con oltre 980 attività di apprendimento tra cui scegliere, Google Cloud ha progettato il nostro catalogo completo pensando a te. Il catalogo è composto da una varietà di formati di attività tra cui scegliere. Scegli tra piccoli laboratori individuali o corsi multimodulo composti da video, documenti, laboratori e quiz. I nostri laboratori ti forniscono credenziali temporanee per risorse cloud reali, così puoi imparare a utilizzare Google Cloud com'è davvero. Guadagna badge per ciò che completi, definisci, monitora e misura il tuo successo con Google Cloud.

FILTRA PER
Cancella tutto
  • distintivo
  • Formato
  • Lingua

125 risultati
  1. Lab In primo piano

    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.).

  2. Lab In primo piano

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh

    In this lab you will install the Cloud Service Mesh, and deploy a resnet model, all on a GKE cluster.

  3. Lab In primo piano

    GKE Autopilot: Qwik Start

    GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.

  4. Lab In primo piano

    Google Kubernetes Engine Pipeline using Cloud Build

    Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.

  5. Lab In primo piano

    Implement DevOps Workflows in Google Cloud: Challenge Lab

    This challenge labs tests your skills in implementing a CI/CD pipeline using Cloud Build, Cloud Source Repositories, and GKE.

  6. Lab In primo piano

    Distributed Load Testing Using Kubernetes

    Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

  7. Lab In primo piano

    Understanding and Combining GKE Autoscaling Strategies

    In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.

  8. Corso In primo piano

    Implement DevOps Workflows in Google Cloud

    Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container…

  9. Lab In primo piano

    Awwvision: Cloud Vision API from a Kubernetes Cluster

    This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit's /r/aww subreddit and display the labelled results in a web app.

  10. Lab In primo piano

    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.