01
Getting started with Flutter Development
Build and edit a Hello World Flutter application using a Code Server development enviornment.
Google Cloud Next 2022 Hands-On Labs
This learning path contains labs that provide hands-on activities related to breakout session content and launches announced at Google Cloud Next 2022.
02
Flutter Startup Namer
This lab walks you through writing your first Flutter app compatible for Android, iOS, and web.
03
Material Components for Flutter Basics
Design a basic frontend for a mobile app using Material Components for Flutter.
04
[DEPRECATED] Flutter Web and Firebase Authentication
This lab demonstrates how to use Firebase Web authentication in a Flutter application.
05
[DEPRECATED] Dart Functions Framework
Explore using Dart Function Frameworks in a Flutter application. Example based on this demo.
06
Introduction to Dart
In this lab you will learn the basics of Dart. Understand how to work with variables, flow control and functions to start your journey with Dart.
07
[DEPRECATED] Dart: Using Functions with Lists and Maps
In this lab you will learn how Dart is used with data structures. Understand the utility of Maps and Lists and how these are used to reference information.
08
Cómo desarrollar una API de REST con Go y Cloud Run
Demuestra cómo compilar una API de REST con Go y Cloud Run
09
Eventarc for Cloud Run
In this lab you will use Eventarc for Cloud Run to listen to events from Cloud Pub/Sub and Audit Logs. At the end of this lab you will be able to deliver events from various sources to Google Cloud sinks.
10
[DEPRECATED] Managing Cloud Run gRPC Services with API Gateway
In this lab you learn how to set up API Gateway to manage and secure a Cloud Run backend service with gRPC.
11
Cómo usar Cloud Run para compilar una aplicación sin servidores que crea archivos PDF
En este lab, usarás Cloud Run, un servicio sin servidores, para compilar una aplicación web que convierte automáticamente archivos almacenados en Cloud Storage en archivos PDF almacenados en carpetas separadas.
12
Cómo implementar tu sitio web en Cloud Run
En este lab, implementarás un sitio web en Google Kubernetes Engine, lo escalarás horizontalmente a más instancias e implementarás una versión nueva mediante actualizaciones progresivas.
13
Automate Validation using the Data Validation Tool (DVT)
Data validation is a critical step in data warehouse, database, or data lake migration.
14
BigLake: Qwik Start
En este lab, aprenderás a implementar tablas de BigLake.
15
Detecta etiquetas, rostros y puntos de referencia en las imágenes con la API de Cloud Vision
Envía una imagen a la API de Cloud Vision para que identifique objetos, rostros y puntos de referencia
16
Awwvision: la API de Cloud Vision desde un clúster de Kubernetes
En este lab práctico, se usan Kubernetes y la API de Cloud Vision para crear un ejemplo de cómo usar la API de Vision con el fin de clasificar (etiquetar) imágenes del subreddit /r/aww de Reddit y mostrar los resultados etiquetados...
17
Scanning User-Generated Content using the Cloud Video Intelligence and Cloud Vision APIs
This lab will show you how to deploy a set of Cloud Run functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.
18
Cómo compilar una entrega de agente virtual
En este lab, seguirás trabajando con el agente de chat de Pigeon Travel; le agregarás contexto y configurarás la entrega para que busque y almacene entradas de reservas en Firestore.
19
Extrae, analiza y traduce texto de imágenes con las APIs de AA de Cloud
Usa las APIs de Cloud Vision, Natural Language y Translation para capturar cadenas de texto de imágenes, reconocer caracteres, y analizar cadenas de texto y traducirlas a otros idiomas.
20
Vertex AI Tabular Data: Qwik Start
In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.
21
Implementa un clasificador de deserción de clientes de BigQuery ML en Vertex AI para realizar predicciones en línea
En este lab, entrenarás, ajustarás, evaluarás, explicarás y generarás predicciones en línea y por lotes con un modelo XGBoost de BigQuery ML. Usarás un conjunto de datos de Google Analytics 4 perteneciente a Flood‑It!, una aplicación real para dispositivos móviles, para determinar la...
22
Notebook de Vertex AI Workbench: Qwik Start
En este lab, entrenarás e implementarás un modelo de TensorFlow en Vertex AI para derivas (predicciones). Mira estos videos breves: Getting started with Notebooks for machine learning y Faster model training and experimentation with Vertex AI.
23
Running Distributed TensorFlow using Vertex AI
In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.
24
Clasifica texto en categorías con la API de Natural Language
En este lab, aprenderás a clasificar texto en categorías con la API de Natural Language
25
Análisis de opiniones y entidades con la API de Natural Language
La API de Cloud Natural Language te permite extraer entidades y realizar el análisis sintáctico y de opiniones en un bloque de texto. En este lab práctico, aprenderás a extraer entidades y opiniones de un texto con la API de...
26
Migrate Existing Prometheus Monitoring Workloads to Google Cloud
Learn how to use Managed Service for Prometheus in a self-deployed data collection mode. You can also utilize managed data collection as well.
27
[DEPRECATED] Apigee API Management Fundamentals
This lab introduces you to the fundamentals of API Management with Google's Apigee API Management Platform. You will go through the API Lifecycle at a high level - from API design, API Security, API Consumption to API Analytics & Monitoring.
28
Protecting APIs with Apigee X and Cloud Armor
In this lab, you use an Apigee X threat protection policy and Cloud Armor to protect your APIs.
29
Provisioning an Apigee X Evaluation Organization
In this lab, you use the Apigee X provisioning wizard to create an Apigee X evaluation organization (org).
30
Adding an Apigee X Environment and Group
In this lab, you add a new environment and environment group to an Apigee X evaluation org.
31
Using NAT for Apigee X Backend Services
In this lab, you enable a NAT IP address for the runtime instance. This static IP address is used when calling from Apigee X to backend services.
32
Migrate for Compute Engine
Utilice Migrate for Compute Engine para migrar una instancia EC2 de AWS a Compute Engine en Google Cloud, así como para verificar la migración.
33
Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service
In this lab, you migrate MySQL data from an Amazon RDS instance for MySQL to Cloud SQL for MySQL using a one-time Database Migration Service job and an IP allowlist for connectivity. After you create and run the migration job,...
34
A Tour of Google Cloud Sustainability
In this hands-on lab, you will learn why Google Cloud is the cleanest cloud in the industry by exploring and utilizing sustainability tools..
35
Create and Test a Document AI Processor
Learn how to to create and use document processors using the Document AI API.
36
Identifica componentes dañados de automóviles con Vertex AutoML Vision
En este lab, aprenderás a entrenar un modelo personalizado de clasificación de imágenes de Vertex AI para que reconozca componentes dañados de automóviles.
37
Cómo diseñar flujos de conversación para tu agente
Contact Center AI puede aumentar la satisfacción de los clientes y la eficiencia operativa, ya que mejora los índices de desviación de llamadas y acorta los tiempos de contacto, mientras las operaciones generales se realizan con mayor rapidez y eficacia....
38
Rate Limiting with Cloud Armor
Configure an HTTP Load Balancer with global backends, stress test the Load Balancer, and add a Cloud Armor rate limiting policy to restrict based on IP.
39
Resguarda máquinas virtuales con BeyondCorp Enterprise (BCE)
En este lab, aprenderás a usar el reenvío de TCP de Identity-Aware Proxy (IAP) para habilitar el acceso administrativo a las instancias de VM que no tienen direcciones IP externas o no permiten el acceso directo a través de Internet.
40
Oculta datos sensibles con la API de DLP
Oculta datos sensibles con la API de DLP
41
Redacting Critical Data with Sensitive Data Protection
In this lab, you inspect strings and files for sensitive data and then practice using the Cloud Data Loss Prevention (DLP) API to protect data.
42
[DEPRECATED] Securing Multi-Cloud Applications using BeyondCorp Enterprise (BCE)
In this lab, you will learn how to secure multi-cloud applications using Identity-Aware Proxy (IAP) connector.
43
[DEPRECATED] Build a Google Workspace Add-on with Node.js and Cloud Run
In this lab you'll learn how to build a Google Workspace Add-on using Node.js and Cloud Run.
44
Google AppSheet: Primeros pasos
Aprenda a usar Google AppSheet para que todos los miembros de su organización puedan compilar y extender aplicaciones sin programación.
45
Publish your AppSheet App
In this lab, you use AppSheet to publish your app.
46
Implement the User Experience for your AppSheet App
In this lab, you will use AppSheet to implement the UX components in your app.
47
Connect and Configure Data for your AppSheet App
In this lab, you use AppSheet to connect and configure data for your app.
48
Connect an App to a Cloud SQL for PostgreSQL Instance
In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and...
49
Leverage the Autoscaler Tool for Cloud Spanner to Achieve Workload Elasticity
In this lab you'll deploy the Autoscaler tool for Cloud Spanner, a companion tool to Cloud Spanner, in the per-project configuration where the autoscaler tools are located in the same project as the Cloud Spanner instance being autoscaled.
50
Designing and Querying Bigtable Schemas
In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.
51
Firebase Web
En este lab, aprenderá a usar la plataforma de Firebase para crear aplicaciones web e implementar un cliente de chat con facilidad.
52
Using Memorystore for Redis Read Replicas to Improve Read Performance
In this lab, you will configure a highly available Memorystore cluster and review the architecture of such a deployment.
53
[DEPRECATED] Datastream MySQL to BigQuery
Learn to migrate MySQL Databases to BigQuery using Datastream and Dataflow
54
[DEPRECATED] Analyzing a Tennis Serve with the Video Intelligence API
Learn how to analyze key parts of a tennis serve using the Video Intelligence API. To preview, watch the short video this lab is based off of.
55
Creating a De-identified Copy of Data in Cloud Storage
In this lab, you create and run a Sensitive Data Protection job using the De-identify (DeID) Findings Action to create a redacted and de-identified copy data in Cloud Storage.
56
[DEPRECATED] Getting Started with Gaming on Cloud Spanner
In this lab, you will implement a player profile service and a game matchmaking service to work with Cloud Spanner.
57
Using BigQuery Omni with AWS
In this lab, you will run BigQuery analytics on data stored in AWS S3 using BigQuery Omni.
58
Cloud Functions 2nd Gen: Qwik Start
In this lab, you will create Cloud Functions that respond to HTTP calls and get triggered by Pub/Sub messages and Cloud Audit Logs.