To develop a functional AI-powered teaching assistant system called “Aidemy” on Google Cloud Platform, showcasing the power of multi-agent systems. Gain practical experience in designing, building, and deploying a complex multi-agent system on Google Cloud, mastering key concepts in LLM application development, and understanding the benefits of event-driven architectures.

In this codelab, you’ll build a RAG based Vector Search application designed to find matching toys for customer search (through texts and images), create custom toys based on user request and predict price for the custom-created toy using AlloyDB, Gemini, Imagen, LangChain4j and GenAI Toolbox for Databases.

In this codelab, you’ll add push notifications to an iOS app with Firebase Cloud Messaging.

In this codelab, you’ll learn how to use the Firebase platform on the web by building a chat app.

In this codelab you’ll learn how to create an AlloyDB cluster, deploy GenAI Databases Retrieval Service for databases and create a sample application using the service.

In this codelab you’ll learn how to deploy AlloyDB Omni on a compute VM, load data and use AlloyDB Columnar Engine to improve performance

In this codelab you’ll learn how to use AlloyDB AI in combination with vector search and create an index on the vector data

In this codelab you’ll learn how to deploy AlloyDB Omni on a GKE cluster, deploy an I model to the same cluster, register the model in the AlloyDB Omni and make them working together

In this codelab, you’ll use Gemini Code Assist, an AI-powered collaborator in Google Cloud. You’ll get familiar with how you can use Gemini Chat and inline code assistance to generate code, understand code and other AI assisted coding tasks.

In this codelab you’ll learn how to use Cloud SQL AI integration in combination with vector search and create an index on the vector data

This codelab is intended to help you understand how to create your first 3D Map using Photorealistic 3D Maps in Maps JavaScript. You will learn the basics about loading the right components of the Maps Javascript API, displaying your first 3D Map and

In this codelab you’ll learn how to create a Private Service Connect for AlloyDB

This tutorial explores how to add and style 3D markers in your application. You'll also learn how to animate your application by flying to and around specific locations. This tutorial builds on the concepts covered in the first codelab. If you

In this codelab you’ll learn how to create a Private Services Connect for Cloud SQL

In this codelab, you’ll build and deploy a Toolbox for your Price Prediction Application that uses AlloyDB and generative AI features using Gen AI Toolbox for Databases service.

Learn how to build a web app with Firebase Data Connect and GraphQL

This codelab guides you through creating a knowledge-driven Yoga pose recommender app. The app answers user questions by suggesting matching yoga poses. You’ll learn to build a Firestore Collection of yoga poses from a Hugging Face dataset, set up Firestore Vector Search, and integrate everything into a Flask application.

In this codelab, you’ll build a knowledge-driven contextual Yoga Poses search app designed to answer user questions on Yoga poses to match with their questions. It also allows administrative tasks like creating and editing Yoga poses.

This codelab guides you through creating a knowledge-driven Yoga pose recommender app. The app answers user questions by suggesting matching yoga poses. You’ll learn to build a Firestore Collection of yoga poses from a Hugging Face dataset, set up Firestore Vector Search, and integrate everything into a Node.js application.

In this codelab, you will modernize an old PHP application to Google Cloud, containerize it, deploy to Cloud Run and connect it to Cloud SQL. Moreover, you will explore Application CI/CD with Cloud Build and you will secure it with Secret Manager.

Build features of a to-do list Android app by adding authentication, performance monitoring, a declarative UI, and feature flagging – all with Firebase and Jetpack Compose.

Learn how to use Firestore Vector Search

In this codelab, you’ll add functionality to an online marketplace web app using Firebase Extensions.

In this codelab you’ll learn how to build an iOS app that uses Cloud Firestore.

In this codelab, you’ll learn how to build a web app that uses Cloud Firestore.

In this codelab you’ll learn how to build an Android app that uses Cloud Firestore.

Learn how to run a Cloud Run Job on a schedule inside a VPC SC perimeter using Cloud Scheduler and a Cloud Run service

Enable PSC attachment on existing CloudSQL instance which has private service access networking enabled. Then connect to it via PSC endpoint in another project

Create a CloudSQL instance with PSC service attachment. And Connect to it via PSC endpoint in another project

In this codelab, you’ll chat with your users, ask questions about your documentation, or extend a model with function calling, using Generative AI in Java, integrating the Gemini large language model on Vertex AI, and leveraging the LangChain4j framework

Learn how to use Firebase Genkit to build generative AI features with the app development skills and tools you already know.

In this codelab, you’ll learn how to use Confidential Space to transact digital assets with multi-party computation.

In this codelab, you’ll learn how to add Firebase Authentication to a Flutter app with only a few lines of code.

In this codelab, you’ll learn how to secure machine learning models and intellectual property using Confidential Space

In this codelab, you’ll learn how to leverage the signed container image feature to improve usability of Confidential Space.

Learn how to integrate Firebase with a Next.js app.

In this tutorial, you will learn how to train and run a model with vLLM on GKE through an Airflow DAG.

In this codelab you’ll learn how to validate a Web application with Firebase AppCheck and reCAPTCHA before making requests to Places API

In this codelab, you’ll build a knowledge-driven chat application designed to answer customer questions, guide product discovery, and tailor search results for an ecommerce dataset

In this codelab, you’ll learn how to secure multi-party data sharing while preserving confidentiality using Confidential Space

In this codelab, you’ll learn how to secure multi-party data sharing while preserving confidentiality using Confidential Space. This codelab focuses on how to use Confidential Space with protected resources that are hosted somewhere other than Google Cloud. You will learn how to request a custom token from the Google Attestation Service by providing a nonce, audience and a PKI token type.

In this codelab you’ll learn how to create a Private Services Connect for CloudSQL

This codelab teaches you how get started using Google Maps Platform for building iOS apps in Swift. You'll build an iOS app that does the following: To complete this codelab, you need the following accounts, services, and tools: For the enablement

This codelab teaches you how to use the Maps SDK for iOS with SwiftUI. For the following enablement step, enable Maps SDK for iOS. If you do not already have a Google Cloud Platform account and a project with billing enabled, please see the Getting

In this codelab, you learn everything that you need to get started with the vis.gl/react-google-map library for the Google Maps JavaScript API, which lets you add a Google map to a React app. You learn how to get set up, load the Maps JavaScript API,

Learn how to build a retail chatbot with Dialogflow CX, a conversational AI platform (CAIP) for building virtual agents

Learn what’s new with Gemini Code Assist Enterprise, and how it can help your organization build with Google Cloud.

Learn how to use Firebase Extensions with the Gemini API to build a web app with AI-powered features, like personalized recommendations.

In this codelab, you will learn how to secure a web app from unauthorized access.

Learn how to build a Flutter mobile app with Firebase.

In this codelab, you’ll learn how to build an Android app with Firebase platform.

In this codelab, you’ll learn how to use the Firebase platform on iOS in Swift.

In this codelab, you’ll set up Firebase Performance Monitoring in a web app and learn how to use it to make sure your app runs well for end users.

In this codelab, you’ll learn how to use Cloud Functions for Firebase to send notifications to users of a chat app.

Build a web app from scratch with Firebase and the StackBlitz online editor. You’ll use basic HTML and JavaScript to talk to Firebase. This is a great introduction to using the Firebase console and integrating Firebase into an app. No extensive prior knowledge or software installations are needed.

Access Gemini from a VM via python sdk and PSC endpoint

Learn how to run stable diffusion on a Cloud Run GPU

In this codelab, you’ll learn how to deploy Django CMS using serverless components: Cloud Run for the web engine, Cloud SQL for the database, and Cloud Build for the media assets.

In this codelab, you’ll learn how to deploy Django using serverless components: Cloud Run for the web engine, Cloud SQL for the database, and Cloud Build for the media assets.

In this codelab, you’ll learn how to deploy Wagtail using serverless components: Cloud Run for the web engine, Cloud SQL for the database, and Cloud Build for the media assets.

In this codelab you’ll learn how to create a simple navigation app using Google Maps Platform Navigation SDK.

In this codelab you’ll learn how to create a simple navigation app using Google Maps Platform Navigation SDK.

In this codelab, you will learn about Google Cloud Run functions in C#. More specifically, you will deploy C# functions responding to HTTP and CloudEvents from various Google Cloud sources.

In this codelab, you will learn about Google Cloud Functions (2nd gen). More specifically, you will deploy functions that respond to HTTP calls, Pub/Sub messages, Cloud Storage events and Cloud Audit Logs.

Learn how to use revisions in Cloud Run functions to do traffic splitting, gradual rollouts, and rollbacks.

In this codelab, you’ll learn how to build a chat app to poll a space.

Learn how to build and deploy a LangChain app on Cloud Run

In this codelab, you will create a Spanner instance and learn how to use Spanner Graph.

In this codelab, you will use Vertex AI Conversation to create, configure, and deploy a Data Store Agent and chat app to answer customer questions about products in the Google Store.

Maps can be a very powerful tool when visualizing the patterns in a dataset that are related to location in some way. This relation could be the name of a place, a specific latitude and longitude value, or the name of an area that has a specific

In this codelab you'll learn everything you need to get started using Google Maps Platform for building iOS apps in Objective-C. You'll learn all the basics from getting set up to loading the Maps SDK for iOS, displaying your first map, working with

Imagine you have many places to put on a map and you want users to be able to see where these places are and identify which place they want to visit. Common examples of this include: In this codelab, you will create a locator that draws from a live

This codelab teaches you how to integrate the Places SDK for Android with your app and use each of the Places SDK features. To complete this codelab, you'll need the following accounts, services, and tools: For the enablement step below, enable the

Learn to enhance your Action with features that keep users coming back to it.

Learn how to use the Spreadsheet service in Apps Script to chart and present a set of data.

In this codelab, you’ll add code to an Android app to call a Vision API Product Search backend so that the app users can search for products using images.

In this code lab, you learn how to create a Google Chat

Learn to build a location-based web app using the Maps JavaScript API and PLaces Library to perform a Nearby Search.

Learn Apps Script basics to improve your Google Sheets experience.

Before you begin coding, there are a few prerequisites that you'll need to set up. This tutorial uses Apple's Xcode tool, along with the Objective-C language to create a simple iOS application that runs in an emulator. You don't need a physical

This codelab teaches you how to use data from Google Maps Platform to display nearby places in augmented reality (AR) on Android. This codelab uses Android 10.0 (API level 29) and requires that you have Google Play services installed in Android

Learn how to read, write, and manipulate data in Google Sheets with the Apps Script Spreadsheet service.

In this codelab, you will use Producer Portal to integrate a basic SaaS solution with the Google Cloud Marketplace Procurement API.

In this codelab, you’ll learn how to build a product image search backend using Vision API Product Search, and how to create an API key to call the backend from mobile apps.

Whether you are embarking on a road trip, planning your daily commute, or navigating a bustling city, getting from point A to point B is more than just knowing where you want to go. A reliable route generation tool is essential. With Google Maps

In this codelab, you learn everything you need to get started using Google Maps Platform for the web. You learn all the basics, from getting set up to loading the Maps JavaScript API, displaying your first map, working with markers and marker

Learn how to use the Google Maps Platform Maps and Places SDKs for Android to present users with a list of possible Places to identify their locations.

This codelab teaches you how to integrate Maps SDK for Android with your app and use its core features by building an app that displays a map of mountains in Colorado, USA, using various types of markers. Additionally, you'll learn to draw other

This codelab teaches you how to use the WebGL-powered features of the Maps JavaScript API to control and render on the vector map in three dimensions. This codelab assumes you have intermediate knowledge of JavaScript and the Maps JavaScript API. To

Learn how to employ data manipulation, custom menus, and public API data retrieval with Apps Script to improve your Sheets experience.

In this codelab, we’ll explore the Vision, Speech-to-Text, Translation and Natural Language APIs. At the end, we’ll use these APIs to analyse audio recordings and map them to relevant images.

One of the most common features of a website is displaying a Google map that highlights one or more locations for a business, establishment, or some other entity with a physical presence. How these maps are implemented can vary greatly depending on

This codelab teaches you how to create a high-volume geospatial data visualization using the Maps JavaScript API and deck.gl, an open-source, WebGL-accelerated, data-visualization framework. If you haven't used Google Maps Platform before, follow

This codelab teaches you how to integrate Maps SDK for Android with your app and use its core features by building an app that displays a map of bicycle shops in San Francisco, CA, USA. For the following enablement step, you need to enable Maps SDK

Learn how to format your spreadsheet data with Apps Script.

Learn to deploy a website with Cloud Run, which brings serverless agility to your containerized apps.

Learn how to run stable diffusion on a Cloud Run GPU

Learn how to secure Cloud Run functions by requiring authentication for invocation

In this tutorial, you’ll learn to use the Translation API with Python.

Learn how to use Ollama as a sidecar with Cloud Run GPUs and Open WebUI as a frontend ingress container

In this codelab, you’ll build a knowledge-driven chat application designed to answer customer questions, guide product discovery, and tailor search results for an ecommerce dataset

In this codelab you’ll learn how to implement Text Classification using Firebase and TensorFlow Lite.

In this codelab, you’ll learn how to create a content recommendation engine for your app using Tensorflow and Firebase.

In this codelab, you’ll learn how to create a content recommendation engine for your app using Tensorflow and Firebase

In this codelab you’ll learn how to implement Text Classification using Firebase and TensorFlow Lite.

In this codelab, you’ll build a knowledge-driven chat application designed to answer questions related to patent search and bring contextually relevant results grounded in the patent dataset truth as its source.

how to get started with event-driven Cloud Run functions

how to get started with event-driven Cloud Run functions

Learn how to getting started with Cloud Run functions

Learn how to run LLM inference on Cloud Run GPUs with vLLM and the OpenAI Python SDK

In this codelab, you build Google Chat apps with the latest available features, which include Vertex AI’s Gemini-powered AI models, Dialogflow CX, app home, Google Chat Events, and accessory widgets.

In this codelab you will augment an Appointment Scheduler Chat app backed by Dialogflow and Google Calendar to run on Google Chat. You will build and deploy custom Google Chat messages.

Learn how to build a custom Dialogflow chatbot for Google Chat with dynamic card responses.

In this codelab you’ll learn how to create a database, deploy GenAI Retrieval Service for databases and create a sample chat application using the service.

In this codelab, you will use function calling in Gemini to build an app for users to ask about exchange rates, fetch the latest data from an external API, then respond to the user with the answer.

In this codelab, you will create a load balancer and associated backend service. You will then create a Cloud Armor bot management rule and learn how it protects your backends.

Use Terraform to set up and manage Firebase projects, including programmatic configuration of infrastructure and Firebase products.

In this lab, you'll learn how to use custom prediction routines on Vertex AI to write custom preprocessing and postprocessing logic. While this sample uses Scikit-learn, custom prediction routines can work with other Python ML frameworks such as

In this codelab you will learn to build a multi-modal question-answering system using Gemini Pro.

In this lab, we will create a VPC Service Controls perimeter and use it to protect a project. We will then provoke a VPC Service Controls egress violation and walk through the process of troubleshooting the denial by creating an egress rule. By the end of this lab, you will have a better understanding of how to use VPC Service Controls to protect your resources.

In this codelab, you will build a Google quality search engine that can help answer queries from your documents and text files using Vertex AI Search/Agent Builder.

In this codelab you’ll learn how to set up the Looker Dashboard Summarization Extension for local development and deploy the extension to production.

In this codelab, you will learn how to use Spring Cloud GCP to write and read data from a Cloud Spanner database.

In this codelab, you’ll learn how to build a Google Workspace Add-on using Node.js and Cloud Run.

Use Gemini Code Assist to help you write tests for your code

In this codelab, you’ll build a Cloud Run Application that transforms your drawing into website code in minutes using Generative AI models from a choice of Gemini 1.0 Pro Vision, Gemini 1.5 Pro, and more.

Demonstrates Gemini function calling feature in a Java application by invoking the Gemini model to orchestrate the input for function calling, invoke the API, and then process the response in another Gemini call and deploy it to a REST endpoint.

Learn how to use the power of the Gemini API to automate Google Workspace tasks and explore further possibilities.

In this lab, we will create a VPC Service Controls perimeter and use it to protect a project. We will then provoke a VPC Service Controls ingress violation and walk through the process of troubleshooting the denial. By the end of this lab, you will have a better understanding of how to use VPC Service Controls to protect your resources.

Codelab outlining how to use the Firebase Emulator Suite during development with Flutter. The codelab will use the Auth and Firestore emulators to demonstrate emulator use.

In this codelab, you’ll build a Google Maps experience using the Flutter mobile app SDK for crafting high-quality native experiences on iOS, Android and the web.

How to use Cloud Run as an endpoint for Gemini Function Calling.

Learn how to deploy a Gemini-powered chat on Cloud Run using express.js, htmx, and tailwindCSS.

In this codelab, you’ll learn how to use clasp - the Apps Script CLI - to pull, push, and deploy your Apps Script projects from command line.

We’ll create a book recommendation and summarization app using Vertex AI generative AI (Gemini) in a Cloud Function as a remote function from BigQuery..

In this codelab, we shall look at utilizing the Help Me Write feature to author Synthetic Monitoring Tests for your existing services

Learn how to configure a Cloud Run service to access an internal Cloud Run service using direct VPC egress.

In this codelab, we shall look at an existing Jump Start Solution, AI Summarization, that uses Vertex AI models to summarize PDF documents that have been uploaded to Google Cloud Storage. We will use Gemini Code Assist to understand and add new functionality to the solution.

Learn how to deploy JavaScript frameworks like Angular, Nuxt.js, and Next.js to Cloud Run.

In this codelab, you’ll learn how to do supervised fine-tuning of an LLM using Vertex AI.

Demonstrates a Cloud Function written in Python that initializes the Vertex AI module and then provides an endpoint to invoke PaLM Text Bison model.

This CodeLab demonstrates use of Gemini for Google Cloud to accelerate troubleshooting and issue remediation. You will get familiar with Gemini in summarizing logs, explaining errors and assisting in finding solutions for the problem.

Learn to cache data from a Spring Boot app with Memorystore.

We’ll use Gemini to help us create book recommendation and summarization analytics with BigQuery (SQL-only Generative AI).

We’ll use Gemini to help us create a bookshelf summarization application that simply takes BigQuery data to the web and is deployed on Cloud Run.

In this codelab, you’ll use Vertex AI to generate a trivia quiz according to some provided specifications. You’ll test your quiz generator in a cloud hosted developer environment, and then make it publicly available by deploying it to Google Cloud Run. At the end of the lab, you’ll integrate your quiz generator with a complete app.

Learn how to create a Cloud Run job that describes the image in every scene in a video using Vertex AI and the Video Intelligence API.

How to automatically deploy your changes from GitHub to Cloud Run using Cloud Build

In this codelab, you’ll build a presentation using the Google Slides API and BigQuery to report an analysis of the most common software licenses.

In this tutorial, you will learn how to build a simple web app with Python on Google App Engine.

In this tutorial, you’ll learn how to get started with Cloud Run by deploying and running a stateless container serverless-ly (with the infrastructure abstracted away). Cloud Run offers a fully-managed option as well as the ability to run on top of a GKE cluster.

In this tutorial, you’ll build HTTP Cloud Functions in Python.

In this tutorial, you will learn to use the Speech-to-Text API with Python.

In this tutorial, you will learn to use the Text-to-Speech API with Python.

OpenTelemetry is the industry standard for system observability on trace and metrics. This session shares the knowledge on how to instrument application metrics using OpenTelemetry and how to utilize them on Cloud Monitoring and other monitoring tools.

You will use Cloud Dataflow, create a Maven project with the Cloud Dataflow SDK, and run a distributed work count pipeline using the Google Cloud Platform Console.

In this beginner-friendly codelab, you’ll become familiar with the generator feature. Generators use Google’s latest generative large language models (LLMs) to generate agent responses and in the context of this codelab you’ll use a generator that pulls information from a data store to make informed decisions.

In this beginner-friendly codelab, you’ll become familiar with the generative fallback feature that uses Google’s latest generative large language models (LLMs) to generate virtual agent responses.

In this codelab, the user will use App Distribution and our fastlane plugin together to distribute an iOS build and register test devices. Then, the user will export a .txt file of devices and UDIDs from the App Distribution console and automate registering these devices (a requirement for distributing ad-hoc iOS builds).

In this codelab you’ll learn how to connect an AlloyDB cluster to an Oracle database deployed in a separate network connected through VPN.

Learn how to access an internal-only ingress Cloud Run service using direct VPC egress while retaining public Internet access

In this codelab, you’ll chat with your users, or ask questions about your documentation, using Generative AI in Java, integrating the PaLM large language model, and leveraging the LangChain4J LLM orchestration framework

Learn how to create a Cloud Run service that communicates with a sidecar using a localhost port and a volume mount.

Learn how to create a Cloud Run service that describes the image in every scene in a video using Vertex AI and the Video Intelligence API.

In this codelab, you use the FCM HTTP v1 API to send push notifications to an app running on multiple platforms. You build the app using Flutter, which runs seamlessly on Android/iOS/Web.

You can use Firebase App Check with App Attest to protect your backend services and verify that requests to Firebase services are coming from your authentic app. It's generally recommended to onboard users gradually to the App Attest service to avoid

Learn how to protect your Firestore data with Security Rules

Learn how to develop a web app with the Firebase Emulator Suite.

In this codelab, you’ll build a leaderboard using Cloud Firestore and Cloud Functions.

Build a similarity search application for apparel recommendation based on user input and perform search against data stored in spanner and indexed by Vector Search to respond with the nearest neighbors.

In this codelab, you’ll get started with Generative AI in Java, integrating the PaLM large language model, and leveraging the LangChain4J LLM orchestration framework

In this codelab, you will learn how to use advanced features of Crashlytics. These will give you better visibility into crashes and the circumstances that may have caused them.

In this codelab you’ll learn the basics of single-sign on embedding with Looker.

Learn how to make a query to Vertex AI Search from a Cloud Run service.

In this lab, you'll use Vertex AI to run a custom training job. This lab is part of the Prototype to Production video series. You'll build an image classification model using the Flowers dataset. You can watch the accompanying video to learn more:.

In this codelab, you will learn how to set up advanced load balancing optimization features for global external application load balancing.

Build a pose generator app to generate images based on pose prompts created by the user with data fetched from Spanner database using the server app API.

Source code for creating a Slack Slash Command for text summarization in the Slack Application. The Slack Application uses the Cloud Function to invoke the PaLM API for text summarization.

In this tutorial, you will learn how to use generative models to summarize information from text by working through the stuffing method

Learn how to analyze views of influencers on Youtube on any company or product, using Google’s Gen AI capabilities.

Cloud Function that demonstrates how to process an uploaded file in Google Cloud Storage and perform summarization using Vertex AI PaLM API on the contents.

Develop a chat application by using Python Flask framework and Vertex AI PaLM API model.

Build a Movie Success Rating prediction and prescription app with BigQuery SQL queries and Vertex AI PaLM API.

In this code lab, you create a Java service leveraging Google’s Support for Native Java Client Libraries and deploy it to Cloud Run. The service runs image analysis using Vision API in response to Cloud Storage events and saves the analysis results in a Firestore collection.

Build a Text Summarization use case to allow users to summarize articles, text, and other forms of content using Google Cloud Vertex AI on a Svelte Kit web app.

In this codelab, you'll build an Android app with ML Kit that uses on-device Machine Learning to recognize, identify language and translate text from between 59 languages. You'll also learn how to integrate the CameraX library to accomplish these tasks from a real-time camera feed.

In this tutorial, you will learn to use the Natural Language API with Python.

In this codelab, you’ll learn how to get started with Cloud Run by deploying and running a stateless container serverless-ly (with the infrastructure abstracted away). Cloud Run offers a fully-managed option as well as the ability to run on top of a GKE cluster.

The goal of this lab is to explore Cloud NAT’s Rules feature

The goal of this lab is to explore Cloud NAT’s Dynamic Port Allocation (DPA) Feature.

In this codelab you’ll learn how to use Remote Config A/B Testing in your Unity game.

Learn how to instrument your Unity game with Remote Config

Build secure, scalable, compliant and data-driven healthcare mobile apps with Android-FHIR SDK, OHS and Google Cloud Healthcare API

In this tutorial you’ll learn how to configure and validate Looker Cloud Core Private IP over hybrid networking.

In this lab, you will learn how to create and run ML pipelines with Vertex Pipelines. You'll learn how to: The total cost to run this lab on Google Cloud is about $25. This lab uses the newest AI product offering available on Google Cloud. Vertex AI

In this codelab, you’ll learn about Google Cloud Operations Suite. The lab will involve installing a sample application using gcloud. Once the sample application is deployed, you will then use Cloud Monitoring to define Dashboards, Alerts, Uptime Checks and more.

In this code lab, you develop a Web API on top of Google Cloud serverless solutions, to serve a bookshelf and its books. You will create a Cloud Function to import sample data, a Cloud Run container to offer a reusable backend Web API, and an App Engine web application to offer a web frontend to browse through the library of books.

Source code summarization for Github repos available as a BigQuery public dataset, using Vertex AI Large Language Model for text generation (text-bison) as a hosted remote function in BigQuery.

You’ll learn how to programmatically listen to events from and send actions to embedded Looker content.

You’ll learn how to embed a Looker dashboard with the Looker Embed SDK

Setting up and running a notebook with interactive Beam

In this codelab, you will first explore a Node.js application to take screenshots of web pages and store them to Cloud Storage. You will then build a container image for the application, run it as a job on Cloud Run, update the job to process more web pages and run the job on a schedule with Cloud Scheduler.

In this codelab, you will learn to use the Text-to-Speech API with C#

In this codelab, you will learn how to use BigQuery with C#

In this codelab, you will learn to use the Natural Language API with C#

In this codelab, you will learn to use the Translation API with C#

In this codelab, you will learn to use the Video Intelligence API with C#

In this codelab, you will learn to use the Google Cloud Vision API with C#.

In this codelab, you will learn to use the Speech-to-Text API with C#

In this codelab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python. We will use a simple medical intake form as an example, but this procedure will work with any generalized form supported by DocAI. This

In this codelab, you will learn how to use Document AI Workbench to create fully customized models using your own training data.

In this codelab, you will perform Optical Character Recognition (OCR) of PDF documents using Document AI and Python. You will explore how to make both Online (Synchronous) and Batch (Asynchronous) process requests.

In this tutorial, you will learn to manage Document AI processors with Python.

We’ll create a Computer Vision application using Spring Boot and Java, enabling you to unlock the potential of image recognition and analysis in your projects.

In this codelab, you will learn how to configure Cloud Armor Network edge security policy with user-defined rules

In this codelab, you will learn how to use Private Service Connect to chain L7 Load Balancer.

In this codelab, you will build simple Spring Boot microservices and retrieve secrets / configuration values stored in Secret Manager.

Get the latest version of your app into testers' hands, fast. In this

In this codelab, you’ll learn how to build and run a Slack bot on Google Cloud. It uses Cloud Run, a fully managed compute platform that automatically scales your stateless containers.

Learn how to secure Cloud Functions by requiring authentication for invocation

use-cmek-to-encrypt-cloud-functions

Learn how to add Task Queue pull task usage to a basic Python 2 Flask App Engine NDB app.

Learn how to migrate a Python 2 App Engine NDB & Users service app to Cloud NDB & Cloud Identity Platform, followed by an upgrade to Python 3

Get your latest version into the hands of testers fast, with the App Distribution Android SDK. In this codelab, you’ll update an app to display in-app notifications to your testers when new releases are available.

In this codelab, you build a Firebase extension for geohashing. This introductory codelab teaches you how to convert an existing Cloud Function into a Firebase Extension that can be distributed to millions of developers easily and help extend their Firebase projects.

In this codelab, you’ll learn how to use Cloud Anchors in order to create shared AR experiences, by establishing a common frame of reference (same position and orientation) across multiple devices using the ARCore Cloud Anchors Service.

In this codelab, we’ll introduce you to one of the easiest ways to write code that accesses Google developer technologies. It’s all done by applying JavaScript, a mainstream web development language. Using Google Apps Script, you’ll write code to extract a street address from a cell in a Google Sheet, generate a Google Map based on the address, and then send the map as an attachment using Gmail. The best part? It will only be four lines of code.

Learn how to implement multi-factor authentication and create custom auth requirements with blocking functions

Learn to build a simple Spring Boot app and deploy it to App Engine standard environment.

Learn to access files in Cloud Storage with the Spring Resource abstraction.

In this codelab, you will first learn how to create and use a regular Cloud Tasks queue for HTTP target tasks. Then, you’ll learn how to use queue-level HTTP URI override and the new BufferTask API to more easily buffer HTTP requests with Cloud Tasks.

Learn to deploy a Spring Boot Java app to Kubernetes on GKE.

In this codelab, you will learn how to use Spring Cloud GCP to write and read objects from Datastore

In this codelab, you’ll build two Spring Boot applications that exchange messages through Spring Integration, using Google Cloud Pub/Sub on the background.

Learn how to convert a simple Java App Engine app, containerize it with Jib, and move it to Cloud Run

Learn to connect your Spring Boot app to Cloud SQL.

Learn to build and launch a Spring Boot Java app from Cloud Shell without ever leaving your browser.

In this codelab, you will learn about the main features of Eventarc.

In this codelab, you will build simple Spring Boot microservices and add distributed tracing capabilities using Spring Cloud GCP Trace starter that stores trace data on Cloud Trace.

We’ll create a Movie Score prediction model using Vertex AI AutoML and deploy it to an API endpoint and trigger the prediction API from Java Cloud Functions.

In this tutorial, you will learn to use the Video Intelligence API with Python.

In this tutorial, you will learn to use the Vision API with Python.

In this codelab, you will learn how to use Procurement DocAI and Lending DocAI to classify and parse specialized documents.

In this codelab, you will learn how to use Document AI Uptraining to improve model quality using your own training data.

In this codelab, you will use Document AI Warehouse to ingest, process, and search the full text of documents.

In this codelab, you will learn how to use Document AI Human in the Loop to complete Human Review tasks with Specialized Processors.

Learn how to convert a simple Java App Engine app, containerize it with Docker, and move it to Cloud Run

Learn how to convert a simple Java App Engine app, containerize it with Buildpacks, and move it to Cloud Run

We’ll create a Movie Score prediction model using only SQL with BigQuery ML

In this codelab, you will learn to configure a network load balancer to distribute traffic across the load balancer’s backend instances based on the weights reported by an HTTP health check using weighted load balancing.

In this codelab, you’ll get started with Cloud Foundation Toolkit(CFT) and get on-boarded through a series of steps adding a feature to a CFT module.

In this code lab, you create a Cloud Run service triggered by Cloud Scheduler on a regular time interval to create a collage of the most recent pictures.

In this codelab, you will build an event-driven orchestration of microservices to process images with Eventarc and Workflows

In this lab, you'll use Vertex AI to build a pipeline that trains a custom Keras Model in TensorFlow. We will then use the new functionality available in Vertex AI Experiments to track and compare model runs in order to identify which combination of

Learn the concept of fulfillment in Dialogflow.

In this lab, you will learn how to build an end-to-end data to AI system for real-time fraud detection on Google Cloud. The goal is to understand how to go from raw data to having a production-ready ML pipeline running on Google Cloud. This lab uses

In this codelab, you will create a TCP/SSL proxy load balancer with a backend service and use Cloud Armor to limit access to the load balancer to only a specific set of user clients

In this codelab, you will create a TCP/SSL proxy load balancer with a backend service and use Cloud Armor to limit access to the load balancer to only a specific set of user clients

In this codelab, you’ll create a new Compute Engine instance, compile and run a program to calculate pi to millions of decimal places.

In this codelab, you will transcribe an audio file to using the Speech-to-Text API with Node.js

In this codelab, you will transcribe an audio file to using the Text-to-Speech API with Node.js

In this codelab, you will listen to events from Pub/Sub, Cloud Storage and Cloud Audit Logs with Eventarc and pass them to a Kubernetes service running on Google Kubernetes Engine (GKE).

In this codelab, you’ll learn how to create a custom visualization that you can use in a Looker Studio report.

Get your latest version into the hands of testers fast, with the App Distribution SDK. In this codelab, you’ll update an app to display in-app alerts to your testers when new builds are available.

In this codelab, you’ll build a simple music player for Android, iOS and Web, using Flutter. This player will connect to Firebase RTDB, which would allow users to synchronize playback across their devices.

In this codelab you’ll learn how to deploy a TFLite model to personalize your app for each user and optimize in-app-purchase

Firebase App Check helps protect your backend resources from abuse, such as billing fraud and phishing, by making sure requests come from legitimate apps and devices. It works with both Firebase services and your own backend services to keep your

In this codelab, you’ll learn how to multicast a push message to a select group of your app instances, using FCM topics.

In this codelab, you’ll learn how to add Firebase Performance Monitoring to a sample app and measure the performance during a feature rollout.

In this codelab, you’ll build a sample app and learn how to measure the load time and screen rendering with Firebase Performance Monitoring.

This codelab walks you through using the gcloud CLI to programmatically run a large test suite in an existing CI/CD system like Jenkins. This codelab is platform independent.

Demonstrates how to use Binary Authorization secure your GKE cluster by requiring all containers to be verified and signed by trusted attestors as a part of the build/deploy process

In this code lab, you create a Cloud Function (Java) that runs image analysis using Vision API in response to Cloud Storage events and saves the analysis results in a Firestore collection.

In this code lab, you create a Java service leveraging Google’s Support for Native Java Client Libraries and deploy it to Cloud Run. The service runs image analysis using Vision API in response to Cloud Storage events and saves the analysis results in a Firestore collection.

In this code lab, you create a Cloud Function that runs image analysis using Vision API in response to Cloud Storage events and saves the analysis results in a Firestore collection.

In this codelab, you’ll write a Cloud Function that connects to an existing Cloud SQL database and sends it a SQL insert statement.

The focus of this demo is you can use Vertex AI to train and deploy a ML model. It assumes that you are familiar with Machine Learning even though the machine learning code for training is provided to you. You will use Datasets for dataset creation

In this codelab, we demonstrate a solution to access and analyze clinical data in GCP using BigQuery and AI Platform Notebooks.

In this codelab, we demonstrate a solution to access and visualize clinical data stored in BigQuery using Looker.

In this lab, you'll use Vertex AI get predictions from a pre-trained image classification model. You'll learn how to: The total cost to run this lab on Google Cloud is about $1. This lab uses the newest AI product offering available on Google Cloud.

In this lab, you will learn how to analyze metadata from your Vertex Pipelines runs with Vertex ML Metadata. You'll learn how to: The total cost to run this lab on Google Cloud is about $2. This lab uses the newest AI product offering available on

In this tutorial, you will learn to use Secret Manager with Python

In this Codelab, you’ll learn how to use Firebase Remote Config to change the app’s behavior without an update. Also, it will cover how to run the A/B Testing to find the optimal value.

In this codelab, you’ll learn how to use Google Analytics for Firebase to analyze user’s behavior by using the app events.

In this codelab, developers build a cloud-based image processing workflow in Python using both Google Workspace (formerly G Suite) & Google Cloud APIs. Specifically, you’ll be downloading an image file from Google Drive, archiving it to Google Cloud Storage, analyzing its contents with Google Cloud Vision, and generating report data in Google Sheets.

Learn how to migrate a Python 2 App Engine NDB & Task Queue (pull tasks) app to Cloud NDB & Cloud Pub/Sub, followed by an upgrade to Python 3

In this lab, you'll use Vertex AI to run a distributed training job on Vertex AI Training using TensorFlow. This lab is part of the Prototype to Production video series. Be sure to complete the previous labs before trying out this one. You can watch

In this lab, you'll use Vertex AI to run a hyperparameter tuning job on Vertex AI Training. This lab is part of the Prototype to Production video series. Be sure to complete the previous lab before trying out this one. You can watch the accompanying

In this Codelab, you’ll learn how to use Firebase Remote Config to change the app’s behavior without an update. Also, it will cover how to run the A/B Testing to find the optimal value.

In this codelab, you’ll learn how to use Google Analytics for Firebase to analyze user’s behavior by using the app events.

In this lab, you'll use Vertex AI to get online and batch predictions from a custom trained model. This lab is part of the Prototype to Production video series. Be sure to complete the previous lab before trying out this one. You can watch the

In this code lab, you’ll learn the basics of BigQuery and how to use it to query terabytes of data, like the Wikipedia dataset.

In this codelab, you will learn how to migrate a Python 2 App Engine Cloud NDB and Cloud Tasks (v1) app to Python 3, Cloud Datastore, and Cloud Tasks (v2)

Learn how to use App Engine bundled services in Gen2 runtimes

Learn how to migrate a Python 2 App Engine NDB & Memcache app to Cloud NDB & Cloud Memorystore (for Redis), followed by an upgrade to Python 3

Learn how to migrate a Python 2 App Engine NDB & Task Queue (push tasks) app to Cloud NDB & Cloud Tasks

Learn how to migrate blobstore usage to Cloud Storage for a Python 2 App Engine ndb app.

Learn how to convert a simple Python App Engine app (or break-up a larger, monolithic app into microservices) and move it to Cloud Functions

Learn how to add blobstore usage to a simple Python 2 App Engine app

Learn how to add Memcache usage to a basic Python 2 Flask App Engine NDB app.

Learn how to add Task Queue push task usage to a basic Python 2 Flask App Engine NDB app.

In this codelab, you will create a TCP/SSL load balancer with a backend service and limit access to the load balancer to only a specific set of user clients.

In this lab, you'll learn how to use Vertex AI Workbench for data exploration and ML model training. You'll learn how to: The total cost to run this lab on Google Cloud is about $1. This lab uses the newest AI product offering available on Google

In this codelab, you will learn how to route Datadog monitoring alerts to Google Cloud with Eventarc.

In this codelab, you learn how to turn your ASP.NET Core code into a replicated application running on Kubernetes on Google Kubernetes Engine.

In this lab, you'll use the co-hosting model feature in Vertex AI to host multiple models on the same VM for online predictions. You'll learn how to: The total cost to run this lab on Google Cloud is about $2. This lab uses the newest AI product

In this codelab, you will see how to run BigQuery jobs against a Wikipedia dataset in parallel with the parallel iteration feature of Workflows.

Learn to enhance your Action with features that keep users coming back to it.

In this codelab, you will learn how to respond to Datadog monitoring alerts with Eventarc and Workflows

Learn to deploy, scale, and update your website with GKE.

The page explains how to use Dataflow SQL and create Dataflow SQL jobs.

In this lab, you'll learn how to use Vertex AI for hyperparameter tuning and distributed training. While this lab uses TensorFlow for the model code, the concepts are applicable to other ML frameworks as well. You'll learn how to: The total cost to

In this lab, you'll learn how to configure and launch notebook executions with Vertex AI Workbench. You'll learn how to: The total cost to run this lab on Google Cloud is about $2. This lab uses the newest AI product offering available on Google

In this lab, you'll use Vertex AI to run a hyperparameter tuning job for a TensorFlow model. While this lab uses TensorFlow for the model code, the concepts are applicable to other ML frameworks as well. You'll learn how to: The total cost to run

In this lab, you'll use Vertex AI to run a multi-worker training job for a TensorFlow model. You'll learn how to: The total cost to run this lab on Google Cloud is about $5. This lab uses the newest AI product offering available on Google Cloud.

In this codelab, you will learn how to use BigQuery with Python

In this codelab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the command line.

In this codelab, you create a web frontend on Google App Engine that lets users upload pictures, browse the uploaded pictures, their thumbnails and the latest collage.

In this codelab, we will implement a data ingestion pattern to load CSV formatted healthcare data into BigQuery using Cloud Data Fusion.

In this codelab, you’ll become familiar with Google Compute Engine by spinning up VMs, installing software, and making those available on the Internet via a network load balancer.

Spring Native is an emerging project set to enter the mainline in Spring 6.x and Spring Boot 3.x, which means that now is the perfect time to get familiar with it a few months ahead of its release.

This codelab shows you how to use the Google Cloud Console to grant Identity and Access Management (IAM) roles to principals for your project.

Learn how to create a Google Cloud project, and then call an API from within that project.

Learn how to create a Google Cloud project, set up and navigate the Google Cloud Console, and access some of the most commonly used services in Cloud Console.

Learn how to search for and select Google APIs, and view their metrics.

Learn to continuously deploy containerized workloads to GKE with Cloud Build.

In this codelab, you will learn about the advanced traffic features which are available in the new External HTTPs Load Balancer.

Query Insights for Cloud SQL helps you detect, diagnose, and prevent query performance problems for Cloud SQL databases. It provides self-service, intuitive monitoring, and diagnostic information that goes beyond detection to help you to identify the

In this codelab, you’ll learn how to use the DLP API to automatically classify data uploaded to Cloud Storage. Based on Automating the Classification of Data Uploaded to Cloud Storage

In this codelab, you’ll compare common Cassandra queries for inserting, updating, reading and deleting data to their Cloud Bigtable equivalent with the Java client.

In this code lab, you’ll learn how to deploy a simple ASP.NET Core app to Google App Engine

In this lab you’ll learn how you can use AI Platform Notebooks for prototyping your machine learning workflows. We’ll cover creating a custom notebooks instance, tracking your notebook code in git, and debugging models with the What-If Tool.

In this codelab, you will use the Google Docs API to create a Google Doc, and write the transcript of an audio file to this document. You’ll use the Speech-to-Text API to obtain the text transcript of the given audio file.

In this codelab, you’ll learn how to integrate the Google Sheets API into an application to provide custom reporting.

In this lab, you'll learn how to run a custom training job on Vertex AI Training with the autopackaging feature. Custom training jobs on Vertex AI use containers. If you do not want to build your own image, you can use auotpackaging, which will build

In this codelab, you will learn how to use the Google Cloud Translation API with Node.js and either run locally or deploy to a Cloud serverless compute platform (App Engine, Cloud Functions, or Cloud Run).

Learn how to code, deploy, and debug Cloud Functions for Node.js from within Visual Studio Code on your local machine.

In this codelab, you’ll design and implement a Gmail add-on that allows users to easily add expenses from receipts into a Google Sheet without leaving Gmail.

In this codelab, you will encrypt and decrypt data using Cloud KMS asymmetric keys.

In this codelab, you will encrypt and decrypt data using Cloud KMS

In this codelab, you will learn how to connect to computing resources hosted on Google Cloud Platform via the web.

This lab shows you how to use PySpark on Dataproc to load data from BigQuery and save it to Google Cloud Storage.

In this codelab, you’ll get introduced to Cloud Bigtable with the Java HBase client. You’ll load in data, then run some queries and plot the data on a map..

In this codelab, you will create a load balancer and associated backend service. You will then create a Cloud Armor rate limiting policy and understand how it protects your backends.

In this lab you will create a CDN distribution and apply Cloud Armor rules to protect your edge cache.

In this codelab, you will learn about Cloud IDS. More specifically, you will create a Cloud IDS endpoint, generate threat traffic, and analyze the results.

In this lab, you will use Vertex AI to train and serve a model with tabular data. This is the newest AI product offering on Google Cloud, and is currently in preview. You'll learn how to: The total cost to run this lab on Google Cloud is about $22.

In this lab, you will use Vertex AI to train and serve a TensorFlow model using code in a custom container. While we're using TensorFlow for the model code here, you could easily replace it with another framework. You'll learn how to: The total cost

Learn to load and query data with bq, a Python-based command-line tool for BigQuery.

In this codelab, you’ll learn how to use BigQuery to create machine learning models for Analytics 360 datasets.

In this codelab you will create a web application, restrict access to only specified groups of users, use the authenticated user’s identity in the program

In this codelab you will train an image classifier using AutoML Vision Edge in ML Kit, and run it on an Android or iOS phone using the ML Kit SDK.

Microsoft.NET Core is an open-source and cross-platform version of.NET that can natively run in containers..NET Core is available on GitHub and is maintained by Microsoft and the.NET community. This lab deploys a containerized.NET Core app into

In this code lab, you create a Cloud Run service that creates thumbnails of pictures in response to Cloud Storage events passed through a Pub/Sub topic.

In this codelab, you will learn about the advanced traffic features which are available in the new External HTTPs Load Balancer.

In this lab, you’ll learn about how to solve time-series problems using Vertex AI, covering Notebooks, Training, Prediction, and BigQuery ML.

In this lab, you will learn how to run a custom model training job using the Kubeflow Pipelines SDK on Vertex Pipelines. You'll learn how to: The total cost to run this lab on Google Cloud is about $5. This lab uses the Vertex AI, our end-to-end

Learn how to containerize and migrate a simple App Engine app to Cloud Run using Docker

Learn how to migrate Python App Engine app from webapp2 to the Flask web framework.

Learn how to migrate a simple App Engine app from ndb to Cloud NDB.

Learn how to migrate a simple App Engine app from to Cloud NDB to Cloud Datastore.

Learn how to containerize and migrate a simple App Engine app to Cloud Run using Cloud Buildpacks.

In this codelab, you’ll build an Android app with ML Kit that uses on-device Machine Learning to recognize, identify language and translate text from between 59 languages. You’ll also learn how to integrate the CameraX library to accomplish these tasks from a real-time camera feed.

In this code lab, you create a new Cloud Run service that is triggered by Eventarc when an image is deleted in Cloud Storage. In turn, the service deletes the image thumbnail in Cloud Storage and metadata in Firestore collection.

In this codelab, you will learn how to use Private Service Connect to Publish and Consume services in a GKE environment

Out of the box Dialogflow comes with lots of integrations, for web, Google Assistant, social media and phone gateways. However, when you want to bring your chatbots to mobile devices, you will have to create a custom integration. This lab will teach you how to integrate Dialogflow Essentials into a Flutter app.

In this codelab, you will learn how to use the Google Cloud Translation API with Python and either run locally or deploy to a Cloud serverless compute platform (App Engine, Cloud Functions, or Cloud Run).

In this codelab, you will learn how to use the Google Cloud Translation API with Python and either run locally or deploy to a Cloud serverless compute platform (App Engine, Cloud Functions, or Cloud Run).

In this codelab, you’ll learn how to leverage Dataprep, BigQuery and Looker to analyze the impact of different retail prices and make informed decisions to optimize the price of products.

In this codelab, you will learn how to use the Google Cloud Translation API with Python and either run locally or deploy to a Cloud serverless compute platform (App Engine, Cloud Functions, or Cloud Run).

In this codelab, you will learn how to use the Google Cloud Translation API with Python and either run locally or deploy to a Cloud serverless compute platform (App Engine, Cloud Functions, or Cloud Run).

In this codelab, you will learn about Events for Cloud Run. More specifically, you will listen to events from Cloud Pub/Sub, Audit Logs, Cloud Storage, Cloud Scheduler and how to produce/consume custom events.

In this codelab, you will learn how to use an External HTTP(s) Hybrid Load Balancer to reach a Network Endpoint Group (NEG).

In this codelab, you learn how to deploy your ASP.NET Core app to Google Kubernetes Engine with Istio.

In this code lab, you’ll learn how to create a Google Compute Engine virtual machine with Windows Server and the ASP.NET Framework.

In this codelab, you will learn how to use Private Service Connect to publish and consume services.

In this codelab, you’ll learn about Cloud Profiler, a tool for continuous collection and analysis of the performance data from production environments with low overhead.

In this codelab, you learn how to create a gaming leaderboard using a Cloud Spanner database table with a commit timestamp column.

In this codelab, you will learn how to build a Java-based service which exposes an API via gRPC. Then you will write a Java command-line client for your gRPC service.

In this codelab, you’ll learn how to use Terraform to create and manage Google Cloud Spanner resources.

This intermediate Google Apps Script codelab uses 2 Google developer platforms: Google Workspace and Google Cloud Console. More specifically, it uses Cloud Console’s BigQuery API (as an Apps Script advanced service) along with a pair of built-in Google Workspace services: Google Sheets and Google Slides. The purpose of this sample app is to show users they can automate the final stretch, going from big data analysis to slide presentation, all in a (relatively) short piece of code.

In this codelab, you will learn about Google Cloud Armor named IP address lists. More specifically, you will configure a named IP address list within a security policy and validate connectivity.

In this codelab, you’ll setup a simple connection to a Cloud SQL instance accessible from anywhere.

This guide provides instructions for transitioning an existing network load balancer from a target pool backend to a regional backend service.

In this codelab, you’ll create a Google Cloud Spanner instance, an empty database, and learn how to load sample data and query it.

In this lab, you’ll directly ingest a BigQuery dataset and train a fraud detection model with TensorFlow Enterprise on Google Cloud AI Platform.

In this codelab, you will encrypt and decrypt data using Cloud KMS asymmetric keys.

In this lab you’ll walk through a complete ML workflow on GCP: ingesting data from BigQuery, building an XGBoost model in a Cloud AI Platform Notebooks instance, and deploying the model to AI Platform.

In this codelab, you will teach the computer to recognise handwritten digits with 99% accuracy, in 100 lines of Python / Keras code.

This lab shows you how to set up Apache Spark and Jupyter Notebooks on Cloud Dataproc using Optional Components and Component Gateway.

In this codelab, you will learn how to build and deploy complex data science pipelines with hyperparameter tuning on Kubeflow Pipelines, without using any CLI commands or SDKs.

In this codelab, you will learn how to build and deploy complex data science pipelines with Kubeflow Pipelines, without using any CLI commands or SDKs.

In this lab, you’ll learn about how to train and deploy a forecasting model using AutoML in Vertex AI.

In this codelab, we will implement a data ingestion pattern to load CSV formatted healthcare data into BigQuery using Cloud Data Fusion in real time.

In this lab you’ll learn how to train an XGBoost model on a financial dataset, deploy it to Cloud AI Platform, and analyze it with the What-if Tool

This lab shows you how to use Spark MLlib and spark-nlp for performing machine learning and NLP on large quantities of data.

In this lab you’ll learn how to train your model in the Cloud with hyperparameter tuning. We’ll be showing you how to do this with PyTorch, but you can do this in any framework you’d like.

In this codelab, you’ll setup a connection between a Compute Engine instance and Cloud SQL within Google’s private internal network using the Cloud SQL Proxy.

In this codelab, you’ll learn how to process Gmail messages automatically and programmatically using G Suite APIs and Google Cloud Functions.

In this codelab, we will implement a data ingestion pattern to load FHIR - R4 formatted healthcare data (Regular Resources) into BigQuery using Cloud Healthcare FHIR APIs.

This codelab introduces you to using Google Workspace REST APIs. The example will be done in Python for brevity and availability, but you can also choose to use your favorite development language. Many introductory topics are presented concluding with users creating a simple script that displays the first 100 files & folders on your Google Drive by using its API.

In this lab you’ll learn how to train an XGBoost model on a financial dataset, deploy it to Vertex AI, and analyze it with the What-if Tool

In this codelab, you will set up a Cloud AI Platforms Pipeline installation (Hosted KFP) with GKE, build and run ML workflows using Kubeflow Pipelines, and define and run pipelines from within an AI Platform Notebook (Jupyter).

In this lab you’ll build a tf.keras for identifying fraudulent transactions using TensorFlow, and then interpret the model’s results with Cloud’s Explainable AI SDK.

In this codelab, you’ll learn how to populate a Google spreadsheet from a Cloud Function reacting to a CSV file upload to Cloud Storage

In this codelab, you learn how to create a gaming leaderboard using a Cloud Spanner database table with a commit timestamp column.

In this codelab, you will learn about Cloud Armor’s preconfigured WAF rules which allow you to protect against some of the top 10 OWASP vulnerabilities with simple names for rule sets.

Learn to build and publish an optimized Docker image for a Spring Boot Kotlin app in no time without Docker or Dockerfile, then run the built image on Cloud Run.

In this code lab, you learn how to deploy a simple ASP.NET app to a Windows Server on Google Compute Engine

In this code lab, you learn how to install and use Cloud tools for Windows PowerShell.

Learn how to deploy a Lustre Parallel file system in Google Cloud Platform using the open source Lustre Deployment Manager scripts.

Learn to host and scale a web app in Google Cloud with Compute Engine.

In this codelab, you will learn about Private Service Connect for Google APIs. More specifically, you will create a service endpoint for storage APIs, create a cloud storage bucket & perform validation using DNS.

In this codelab, you’ll get started with Cloud Foundation Toolkit(CFT) and get on-boarded through a series of steps adding a feature to a CFT module.

In this codelab you will set up a Google Cloud project to use in the following codelabs. You will also learn how to use Cloud Shell for editing files and running terminal commands.

In this lab, you will train a model with BigQuery Machine Learning, and then export and deploy that model to Vertex AI. This is the newest AI product offering on Google Cloud. You'll learn how to: The total cost to run this lab on Google Cloud is