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Getting started with Flutter Development
Build and edit a Hello World Flutter application using a Code Server development enviornment.
This lab demonstrates how to use Firebase Web authentication in a Flutter application.
Explore using Dart Function Frameworks in a Flutter application. Example based on this demo.
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.
In this lab you learn how to set up API Gateway to manage and secure a Cloud Run backend service with gRPC.
In diesem Lab erstellen Sie eine Webanwendung für die PDF-Konvertierung im serverlosen Dienst Cloud Run. Damit werden Dateien in Cloud Storage automatisch in PDFs konvertiert und in separaten Ordnern gespeichert.
Data validation is a critical step in data warehouse, database, or data lake migration.
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.
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.
Use the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
In diesem Lab trainieren Sie ein BigQuery ML-XGBoost-Modell, stimmen es ab, bewerten und erklären es und generieren damit Batch- und Onlinevorhersagen. Sie verwenden ein Google Analytics 4-Dataset aus der App Flood it!, um herauszufinden, wie wahrscheinlich es ist, dass Nutzer die App...
In this lab you train and deploy a TensorFlow model to Vertex AI for serving (prediction). Watch these short videos Getting started with Notebooks for machine learning and Faster model training and experimentation with 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.
In diesem Lab erfahren Sie, wie Sie mit der Cloud Natural Language API Entitäten aus Texten extrahieren, Textinhalte klassifizieren, d. h. Kategorien zuordnen, sowie Sentiment- und Syntaxanalysen machen.
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.
Use Migrate for Compute Engine to migrate an EC2 instance from AWS to Compute Engine on Google Cloud and verify the migration
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,...
Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational...
In diesem Lab lernen Sie, wie Sie die TCP-Weiterleitung für Identity-Aware Proxy (IAP) nutzen, um den Administratorzugriff auf VM-Instanzen zuzulassen, die keine externe IP-Adressen haben bzw. keinen direkten Zugriff über das Internet erlauben.
In this lab, you will learn how to secure multi-cloud applications using Identity-Aware Proxy (IAP) connector.
In this lab you'll learn how to build a Google Workspace Add-on using Node.js and Cloud Run.
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...
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.
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.
In this lab you’ll learn how to use the Firebase platform to easily create Web applications and implement and deploy a chat client.
Learn to migrate MySQL Databases to BigQuery using Datastream and Dataflow
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.
In this lab, you will implement a player profile service and a game matchmaking service to work with Cloud Spanner.