Diventa un utente cloud esperto grazie alla formazione pratica.
Ti forniamo credenziali temporanee per Google Cloud Platform e Amazon Web Services, per farti conoscere il cloud com'è davvero e non attraverso simulazioni. Da lab individuali da 30 minuti a corsi di più giorni, dal livello introduttivo a quello per esperti, da corsi tenuti da insegnanti a self-paced lab, su argomenti quali machine learning, sicurezza, infrastruttura, sviluppo di app e tanto altro ancora, troverai di sicuro ciò che fa per te.
Google Workspace for IT Administrators
In this quest, you will gain hands-on experience on several topics in Google Workspace Administration including security, provisioning users and groups, managing applications, and managing Google Meet.
Protect and Recover Compute Engine Instances with Ac...
In this lab you’ll learn how to protect and recover a Google Compute Engine virtual machine using Google Persistent Disk snapshots.
Explore the fundamentals of Flutter application development in this hands-on quest! Within this quest, you will build a "Hello World" Flutter application, design a frontend for a shopping application, and learn how to connect your Flutter applications to backend services. Each lab in this quest utilizes a pre-provisioned development environment allowing minimal setup to get into the application code!
Optimize Costs for Google Kubernetes Engine
Earn a skill badge by completing the Optimize Costs for Kubernetes Engine, where you learn about the following tools and techniques to help optimize resource usage and eliminate unnecessary costs on Google Kubernetes Engine (GKE): create and manage a multi tenant cluster, monitor resource usage by namespace, configure cluster and pod autoscaling, configure load balancing, and set up liveness and readiness probes. The videos and labs in this quest explore best practices for running cost-optimized Kubernetes applications on GKE.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Understanding LookML in Looker
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
Vertex AI: Qwik Start
In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. starting with a local BigQuery and TensorFlow workflow you will progress toward training and deploying your model in the cloud with Vertex AI.
Migrating MySQL data to Cloud SQL using Database Mig...
This advanced-level quest offers hands-on practice with migrating MySQL data to Cloud SQL using Database Migration Service. You will start with an introductory lab that briefly reviews how to get started with Cloud SQL for MySQL, including how to connect to Cloud SQL instances using the Cloud Console, then continue with two labs focused on migrating MySQL databases to Cloud SQL using different job types and connectivity options available in Database Migration Service. The quest ends with migrating MySQL user data when running Database Migration Service jobs.
Language, Speech, Text, & Translation with Google Cl...
In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
Configuring Network Connectivity Center as a Transit...
Configuring Network Connectivity Center as a Transit hub to interconnect two non-Google networks such as remote branch offices using Google’s backbone network.
Secure and Rate Limit API calls with API Gateway
API Gateway enables you to provide secure access to your backend services through a well-defined REST API that is consistent across all of your services, regardless of the service implementation. Clients consume your REST APIS to implement standalone apps for a mobile device or tablet, through apps running in a browser, or through any other type of app that can make a request to an HTTP endpoint.
A Tour of Qwiklabs and Google Cloud
In questo primo lab pratico accederai a Qwiklabs e alla console di Google Cloud Platform, oltre a utilizzare le funzionalità di base di GCP: progetti, risorse, utenti IAM, ruoli, autorizzazioni, API e Cloud Shell.
Creating a Virtual Machine
In questo lab pratico imparerai a creare una macchina virtuale Google Compute Engine e acquisirai familiarità con i concetti di zona, area geografica e tipo di macchina. Per un'anteprima, guarda il breve video Create a Virtual Machine, GCP Essentials.
AI Platform: Qwik Start
In questo lab imparerai ad addestrare un modello TensorFlow e ad eseguirne il deployment su AI Platform per l'elaborazione di previsioni. Guarda questi brevi video: Harness the Power of Machine Learning with AI Platform e AI Platform: Qwik Start - Qwiklabs Preview.
Getting Started with Cloud Shell and gcloud
In questo lab pratico imparerai a collegarti alle risorse di elaborazione ospitate su Google Cloud Platform tramite il Web. Imparerai inoltre a utilizzare Cloud Shell e il comando gcloud di Cloud SDK. Per un'anteprima, guarda il breve video Get Started with Cloud Shell, GCP Essentials.
Update Security Groups Automatically Using AWS Lambda
Security is a top priority for Amazon Web Services (AWS). AWS provides many tools and services to meet your unique security needs. This lab will present a solution, among many, to enhance your security. This lab walks through a method to automatically update your Virtual Private Cloud (VPC) Security Groups to only allow access from Amazon CloudFront and AWS Web Application Firewall (WAF). Defining Security Groups rules this way prevents malicious requests from by-passing AWS WAF security rules and accessing your EC2 instances directly.
Monitoring Security Groups with Amazon CloudWatch Ev...
In this lab you will learn how to use AWS CloudWatch events with a Lambda function to detect changes to the ingress permissions of an EC2 security group. In an different lab, Monitoring Security Groups with AWS Config, you will do something similar but with different services. Both of these labs illustrate techniques that could be used to provide additional layers of protection to infrastructure controls. Prerequisites: To successfully complete this lab, you should be familiar with EC2 security groups. Python programming skills are helpful, although full solution code is provided. It would be helpful to have taken the Introduction to AWS Lambda lab.
Using BigQuery in the Google Cloud Console
This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.
Check Point: Next-Gen Data Center Security CloudGuar...
In this lab you will learn how to deploy a basic day-to-day scenario with CloudGuard in place
Autoscaling TensorFlow Model Deployments with TF Ser...
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.).
Diventa un utente esperto del cloud
Infrastruttura e DevOps
Implementa le applicazioni, eseguine il deployment e la migrazione e gestiscile sul cloud.
Sviluppo di app e siti web
Per ingegneri informatici che sviluppano applicazioni sul cloud.
Progetta, crea, analizza e ottimizza le soluzioni big data.
Scrivi modelli di machine learning distribuiti e scalabili.
Sicurezza, backup e ripristino
Assicura la conformità e proteggi informazioni, dati, applicazioni e infrastruttura.