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.

Bidding & Auction Services (B&A) is comprised of 4 services for buyers and sellers to facilitate a Protected Audience auction: Buyer stack: Seller stack: This codelab takes you through setting up and testing the end-to-end setup in your local

In this codelab, you’ll add in-app purchases to a Flutter app that are verified and managed using a Dart backend service.

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 learn how to create a Gemini-powered video summarizer that can summarize YouTube videos.

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

In this lab, you learn how to use BigQuery Machine Learning for inference with remote models (Gemini models) to analyze movie poster images and generate summaries of these posters.

Learn how to add a simple Gemini API feature to an Android app with Vertex AI for Firebase.

In this codelab you’ll learn how to build and deploy generative AI agents using Google Cloud’s powerful tools and infrastructure. We’ll cover the essential concepts and walk you through the initial steps to get your first agent up and running.

In this codelab, you’ll learn how to run AI/ML workload with an accelerator using the Trusted Space solution.

Cloud Run is a fully managed platform that enables you to run your code directly on top of Google's scalable infrastructure. This Codelab will demonstrate how to connect a Next.js application on Cloud Run to a Cloud SQL for PostgreSQL database. In

Activity embedding enables activity-based apps to support two-pane layouts on large screens with no code refactoring. You add some dependencies, create an XML configuration file, implement an initializer, and make a few additions to the app manifest. Or, if you prefer working in code, you can make a few Jetpack API calls from the onCreate() method of the main activity. In this codelab, you will use both the XML and API development approaches to update an activity-based app to a list-detail, two-pane layout.

In this codelab, you will create a Spanner instance and perform similarity search on vector embeddings using Spanner’s built-in vector search and integration with Vertex AI models.

In this Codelab, you’ll build a health and fitness app that supports reading and writing to Health Connect.

In this tutorial you’ll learn how to configure and validate the Private Service Connect Vertex AI Pipelines

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

Images account for more than 60% of the bytes on average needed to load a web page. Using AVIF you can make your images smaller and make your website load faster. AVIF is an image format derived from the AV1 video bitream. AVIF was built for

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.

Gen AI applications require observability like any other. Are there special observability techniques require for Generative AI? In this lab, you will create a simple Gen AI application. Deploy it to Cloud Run. And instrument it with essential

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

In this codelab, you’ll learn about the unique user experiences that are made possible by the XR form factor. Then, you’ll learn the fundamentals of how apps can be adapted to make the most of running on an Android XR headset by using the composables provided by the Jetpack Compose XR library.

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.

Gen AI applications require observability like any other. Are there special observability techniques require for Generative AI? In this lab, you will create a simple Gen AI application. Deploy it to Cloud Run. And instrument it with essential

Gen AI applications require observability like any other. Are there special observability techniques require for Generative AI? In this lab, you will create a simple Gen AI application. Deploy it to Cloud Run. And instrument it with essential

Gen AI applications require observability like any other. Are there special observability techniques require for Generative AI? In this lab, you will create a simple Gen AI application. Deploy it to Cloud Run. And instrument it with essential

In this lab, you will use Google's generative AI products to build infrastructure in Google Cloud with the aid of Gemini Cloud Assist, query BigQuery data using natural language to SQL features of Data Canvas, write code in Colab Enterprise Jupyter

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.

In this codelab, you will learn how to use PSC Backends with the Global External Application Load Balancer to access a producer service in another network.

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.

To perform this Codelab, a few prerequisites are required. Each requirement is marked accordingly whether it is required for "Local Testing" or "Aggregation Service". Local Testing will require the download of the Local Testing Tool. The tool will

Estimated time to complete: 1-2 hours There are 2 modes for performing this codelab: Local Testing or Aggregation Service. The Local Testing mode requires a local machine and Chrome browser (no Google Cloud resource creation/usage). The Aggregation

In this lab, we will learn how to protect BigQuery Data Transfer Service, using VPC Service Controls, while transferring data from Cloud Storage to a BigQuery dataset. We then protect Cloud Storage and repeat the process to transfer data from Cloud

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.

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

Deploying a web application for the first time can be intimidating. Even after the first deployment, if the process is too much work, you might avoid deploying new versions of your application. With continuous deployment, you can automatically deploy

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

In this codelab, you’ll learn how to build a Flutter app that generates random, cool-sounding names.

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

In this codelab you’ll learn how to use ipv6 static routes with new next-hop attributes such as next-hop-instance, next-hop-gateway and next-hop-address

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

An interactive demo and codelab for learning about Interaction to Next Paint (INP). The code is found in the the web-vitals-codelabs repository. Located at the top of the page is a Score counter and Increment button. A classic demo of reactivity and

With the Ongoing Activity API in Wear, developers can engage users from the watch face as well as the app launcher with minimal amount of code and allow those users to jump back into the app for important activities with a simple tap.

Learn the core concepts of relational databases and learn to read and manipulate a database using SQL.

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

JIRA user stories implementation with GenAI

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 will learn how to use Cloud NGFW Enterprise to achieve Threat Prevention with TLS inspection.

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

Google Pay API gives users the opportunity to pay everywhere, using the payment information stored in their Google Accounts. In this lab, you make use of Google Pay's client library for Android to improve the checkout experience of a simplified

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

In this codelab, you will learn how to use Private Service Connect to access regional Google APIs. This codelab will walk through setting up a PSC network endpoint group as a backend with an internal application load balancer.

In this codelab, you will learn about the Port Mapping feature for Private Service Connect. You will learn why it’s useful, when to use it, and how to configure it in your environment as a service producer.

Cloud Run is a fully managed serverless platform that enables you to run stateless containers that are invocable via HTTP requests. This Codelab will demonstrate how to connect a Node.js application on Cloud Run to a Cloud SQL for PostgreSQL

Cloud Run is a fully managed serverless platform that enables you to run stateless containers that are invocable via HTTP requests. This Codelab will demonstrate how to connect a Node.js application on Cloud Run to AlloyDB securely with a service

Learn how to build a musical game with the Oboe library.

In this codelab, you’ll learn the fundamentals of accessibility testing using Espresso.

In this codelab, you learn how to test coroutines, ViewModel scoped coroutines, and Room, and implement end-to-end testing for your Kotlin Android app.

In this codelab you’ll learn to set up manual dependency injection, a service locator, and how to use fakes and mocks in your Android Kotlin apps. In doing so, you’ll learn how to test a repository and write fragment integration tests.

Learn the basics of testing your Android Kotlin apps. In this codelab you’ll learn to run tests, write basic tests, work with AndroidX Test, as well as test ViewModel and LiveData.

With the Android App Bundle and Google Play’s Dynamic Delivery, your app can download dynamic feature modules on demand to devices running Android 5.0 (API level 21) and higher. Your app simply needs to call APIs in the Play Core Library to download and install those modules as required, and the Google Play Store pushes only the code and resources needed for that module to the device. You can also use this API to download on demand modules for your instant app.

Calling all prototypers and motion designers! Are you sick of tweaking one value in your animation and having to wait minutes to compile and see your change? Ever want to hand someone a prototype, and let them try it with various options you can adjust on the fly? Do you get tingles when someone mentions “one-line solution”?

This codelab demonstrates how to show conversational notifications as Bubbles on Android 11.

Direct Share makes sharing content quicker and easier. In this codelab, you’ll build an app that is able to display a list of contacts in the system Intent chooser dialog so you can jump directly into the app to make the sharing process seamless.

Learn how to connect your users with each other even when no internet is available

In this codelab, you build a default (“demo”) and premium (“full”) version of the DiceRoller app using build variants.

In this codelab, you’ll migrate an Android app that uses Dagger as the Dependency Injection library to Hilt.

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.

Learn how to implement common navigation requirements for Android apps. Navigation Components handle fragment transactions, up/back stack, navigation UI patterns like navigation drawers, deep links and more. You’ll also explore the type safe args plugin and the Navigation Editor in Android Studio.

In this codelab, you’ll build an Android app that uses Dagger to do Dependency Injection.

In this codelab you’ll learn how to use the Data Binding library. The Data Binding Library allows you to bind UI components in your layouts to data sources in your app using a declarative format rather than programmatically. You’ll learn to set it all up, use layout expressions, work with observable objects, and create custom Binding Adapters to reduce boilerplate to a minimum.

In this codelab, you’ll build a coroutine-based Android app that uses Architecture Components to fetch data from the network and a Room database.

In this codelab, you’ll build an Android app that uses Hilt to do Dependency Injection.

In this codelab, you’ll build a coroutine-based Android app that uses Architecture Components to fetch data from the network and a Room database.

In this codelab, you learn about the data layer in Android app architecture. You build repositories, data models, and data sources to read and write data to a local database and a network service.

In this codelab, you’ll learn all about the basics of Navigation in Compose.

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 use Android Studio’s Layout Editor to build your views using ConstraintLayout.

In this codelab, you integrate the Paging library into an app that shows a list. The Paging library helps you load and display pages of data from a larger dataset from local storage or over network.

Welcome to the Kotlin bootcamp for programmers training course.

In this codelab, you modify a sample app to incorporate the Paging Library, which reduces the app’s memory footprint.

In this codelab, you learn some of the advantages of using Kotlin, and you install the necessary tools (JDK+IDE).

In this codelab, you’ll learn how to use Android Studio 4.0+ C++ template

Learn how to register for the Android Sleep API to get the SleepSegmentEvents and SleepClassifyEvents.

In this codelab you will add biometric authentication to your app as part of your login process. You will not replace your current login process – users can still log in with their account password. Instead, you will augment your login process, giving users the convenience to not have to remember their password every time they open your app. The codelab shows how to ask users to opt-in and then how to store the server generated user token behind biometric authentication.

In this codelab, you’ll learn how to implement real-world designs with the composables and modifiers that Compose provides out of the box.

In this codelab, you’ll be making changes to an app to provide a better user experience when run on a managed device with a work profile.

In this codelab, you’ll learn how to convert your Java code to Kotlin

In this codelab you’ll build an Android app in Kotlin that uses Android Architecture Components (RoomDatabase, Entity, DAO, AndroidViewModel, LiveData) together with Kotlin coroutines. This sample app stores a list of words in a Room database and displays it in a RecyclerView. You will implement this app using the recommended Android architecture using these components.

In this codelab you build an app that uses Android Architecture Components (RoomDatabase, Entity, DAO, AndroidViewModel, LiveData) and implements the recommended architecture for these components. The sample app stores a list of words in a Room database and displays it in a RecyclerView.

Learn how to implement Credential Manager API to provide seamless & secure auth. in your app using passkeys or password.

This codelab is a continuation of Google Pay API for Web 101: Basics and relies on code written in that codelab. In order to complete this codelab, be sure to complete that one first. This is a brief overview of the ButtonOptions. Consult the

In this lab, you will use BigQuery DataFrames from a Python notebook in BigQuery Studio to clean and analyze the Iowa liquor sales public dataset.

In this lab, you will use BigQuery DataFrames from a Python notebook in BigQuery Studio to gain insights from unstructured data using Python.

Artifact Registry is the fully-managed package manager for and provides a unified tool to manage your OCI container images and language packages (such as Maven and npm). Artifact registry is fully integrated with Google Cloud wide range of other

In this codelab, you will learn how to use animations in Flutter. You will build a widget that animates both size and color, adds a 3D card flip effect, utilizes effects from the animations package and adds Android’s predictive back gesture support.

In this codelab, you'll build an Android app using FHIR Engine Library. Your app will use FHIR Engine Library to download FHIR resources from a FHIR server, and upload any local changes to the server. If you haven't built Android apps before, you can

In this codelab, you'll learn how to build an Android app with Structured Data Capture Library. Your app will use the Structured Data Capture Library to render and process FHIR Questionnaires and responses. This codelab is focused on Structured Data

In this codelab, you learn the fundamentals of the Car App Library. This library is used to build apps for Android Auto and Android Automotive OS, which can be used both while parked and driving. You learn how to reuse your implementation across both platforms and have it handle the hard stuff, like different screen configurations and input methods.

Learn to enable local fulfillment with the Local Home SDK to enhance smart home integrations with the Assistant.

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

Learn how to use GCP Metrics and Logging to identify and resolve production issues. Learn how to use the Test Suite to identify functional and API issues. Learn how to use Chrome Dev Tools while developing your Local Home app.

Learn to enhance and secure your Cloud-to-cloud integration through customizable device traits and secure them with two-factor authentication.

Learn how to stream from a webcam to a Google Nest display device with the CameraStream trait and WebRTC.

Build and deploy a Cloud-to-cloud integration to integrate a virtual smart washer to the Assistant.

In this codelab, learn how to detect outages by setting up automated alerts on your Smart Home integration.

Learn how to use GCP Metrics and Logging to identify and resolve production issues. Learn how to use the Test Suite to identify functional and API issues.

Learn how to use Log-based Metrics on Google Cloud to track patterns and analyze your Smart Home integration error logs.

The goal of this lab is to explore NCC with dynamic route exchange with vpc spokes

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 manage in-conversation transfers between live agent representatives and bot representatives. At the end, you’ll have a basic web interface where you can view all ongoing conversations with your agent and join or leave any conversation as a live agent.

In this codelab, you’ll build a digital agent in Python on the Business Messages conversational platform. It will walk you through using our APIs and the Business Communications Developer Console in order to create a digital agent which responds to specific questions.

In this codelab, you’ll build a digital agent in Python on the Business Messages conversational platform which expands on the agent from part 1 of the series. In this codelab, we’ll add meaningful conversation starters and introduce an inventory lookup experience.

In this codelab, you will learn how to use Cloud NGW Enterprise Intrusion Prevention Service to inspect East-West and North-South traffic

In this codelab, you’ll learn how to expose your data to watch face complications while keeping best practices for the platform in mind.

At the completion of this codelab, you will have a minimum viable website with a working Google Pay integration. This project retrieves a payment token which may sent to a payment service provider for processing. A Google Pay payment request requires

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.

In this codelab you’ll create your first Firebase In-App Messaging experiment using FirebaseA/B Testing.

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 migrate an existing Firebase web app to the new modular Firebase JS SDK to tree shake code you don’t use and make the app load quickly.

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.

Learn how to use the new ARCore Geospatial API.

In this codelab, you’ll build a conversational AI agent app for automating sales order process

Learn why variables are useful in programming, as well as how to define and update variables in your Kotlin code.

This lab provides a detailed walk-through on deploying a LIT application server on Google Cloud Platform (GCP) to interact with Vertex AI Gemini foundation models and self-hosted third-party large language models (LLMs). It also includes guidance on

Learn to enable drag and drop in compose using modifiers.

Access Gemini from a VM via python sdk and PSC endpoint

In this codelab, you’ll use an Imagen model to create images on a web page using Cloud Run.

Learn how to run stable diffusion on a Cloud Run GPU

Learn how to add sound effects, background music, and dynamic audio to games with Flutter.

In this codelab, you will learn how to integrate an Internet NEG configured as a Service Producer for Looker SMTP Southbound access.

In this lab, you will use Google’s generative AI products to build infrastructure in Google Cloud with the aid of Gemini Cloud Assist.

Learn the basics of Compose for TV and create two screens that are commonly available in TV apps.

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 create your own Tile for Wear OS. You’ll use Tiles Material Components, a library that makes it easier to build UI that conforms to Material design guidelines, and preview your tiles in Android Studio as you develop.

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.

Learn how to use Cloud Storage bucket events to trigger Cloud Run functions with Eventarc to analyze data and process images using Google’s Vision API and save the resulting image information as object metadata in Cloud Storage.

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 learn how to measure Core Web Vitals with a pre-built Google Tag Manager (GTM) tag template and to send the data to a Google Analytics 4 (GA4) property. You will also learn how to pull data from Google Ad Manager and Google

In this codelab, you’ll learn how to translate your Compose knowledge to wearables with the new Compose for Wear OS. By the end, you’ll have created both simple and advanced composables in an app for your wrist.

This codelab introduces the fundamentals of the new WebGPU API. It guides you through building a version of Conway’s Game of Life that runs on your GPU. WebGPU’s rendering capabilities are used to draw the board and WebGPU’s compute capabilities are used to update the game’s state.

In this codelab, you’ll learn what is the model gecko@003 and a real use case for its application.

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.

GenAI Agent for QA over docs and API calls

Code Review Automation with GenAI

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.

In this codelab you will learn how to use activity embedding’s newly added feature to improve app large screen experience. These features include pane expansion, overlay presentation, full screen dialog dim and activity stack pinning.

Learn how to use BigQuery Remote Functions to ask Vertex AI Visual Question Answering (VQA) a question about images stored in a Cloud Storage object table.

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

In this lab, you'll take an existing web application and add advanced capabilities to it. This is the sixth in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was Prompting & Measuring Install. There are

In this codelab, you will learn how to integrate Cloud SQL PSC with Looker PSC for southbound access.

In this codelab, you will learn how to integrate a Internet NEG configured with SSH as a Service Producer for Looker Southbound access to github.com

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

In this codelab, you will learn how to integrate a Internet NEG configured with HTTPS as a Service Producer for Looker Southbound access to GitHub.com

In this codelab, you will learn how to integrate a Hybrid NEG as the Service Producer for Looker Southbound access to an on-premises postgres database.

In this codelab, you will learn how to integrate a L7 regional external application load balancer for northbound Looker access.

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

This codelab illustrates how to create a customised text classifier using parameter efficient tuning (PET). Instead of fine-tuning the whole model, PET methods update only a small amount of parameters, which makes it relatively easy and fast to

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

In this codelab, you’ll learn how to make your Compose app more accessible. See how to increase touch targets, add content descriptions, click labels, custom actions, and more.

In this codelab, you’ll learn how to migrate parts of a screen in the View system to Jetpack Compose.

This lab provides the instructions to deploy a LIT demo quickly. The objective is to familiarize you with the LIT tool to explore the model behavior. You will conduct a sentimental analysis and use the Counterfactual LIT feature to find the

The goal of this lab is to explore NCC with PSC propagation

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.

Product fairness testing is essential in making sure your AI model and/or data doesn’t perpetuate any unfair societal bias. In this workshop, we will walk you through the key steps of conducting fairness testing and then demonstrate the end-to-end journey of assessing a dataset of a generative text model from an ML fairness perspective.

In this codelab, you’ll learn to customize a pre-trained Audio Classification model to detect bird sounds.

Learn to create a computer vision model that recognizes items of clothing with TensorFlow.

In this codelab we’ll build together a real-time web application with Firebase and Angular.

In this codelab, you’ll learn how to write and define your own nodes capable of working in the Visual Blocks framework that leverage your custom code or call 3rd party APIs. These can compliment existing nodes in Visual Blocks allowing you to prototype faster than ever before for your next company project.

Learn how to measure a web page’s Core Web Vitals with the PageSpeed Insights API and CrUX API.

Progressive Web Applications (PWAs) are a type of application software delivered through the web, built using common web technologies including HTML, CSS, and JavaScript. They are intended to work on any platform that uses a standards-compliant

In this lab, you'll take an existing installable PWA and add a custom in-app install button. This is the fifth in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was From Tab to Taskbar. There are three more

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

Learn the basics of creating a

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

Learn how to use Geospatial Creator to place augmented-reality (AR) content at multiple anchors in the Unity Editor.

Learn how to create a simple website that classifies images with TensorFlow Serving.

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.

Learn how to build Perspective API.

Learn how to build an iOS app that detects objects within images and renders the results in its UI.

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 codelab, you’ll build an Android app that can detect objects in images. You’ll start with training a custom object detection model with TFLite Model Maker and then deploy it with TFLite Task Library

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

Learn how to use the Geospatial Creator tools in Adobe Aero.

In this lab, you'll back up and recover client data to IndexedDB. This is the third in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was Working with Workbox. There are five more codelabs in this series.

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

Learn how to train a comment-spam detection model with TensorFlow Lite Model Maker.

Learn Apps Script basics to improve your Google Sheets experience.

In this lab, you'll take an existing web application and make it installable. This is the fourth in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was IndexedDB. There are four more codelabs in this series.

Learn to build CNNs that make computers more efficient at classifying the contents of an image based on the detected features.

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

Learn how to retrain the spam-detection model to detect specific types of spam with TensorFlow Lite Model Maker.

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

In this codelab, you’ll build an image-slider,, which works independently of Angular framework, can be imported in any framework, and is very easy to integrate.

In this lab, you'll take an existing web application and make it work offline. This is the first in a series of companion codelabs for the Progressive Web App workshop. There are seven more codelabs in this series. Start by either cloning or

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

In this lab, you'll take an existing web application add a streaming route response to improve performance. This is the seventh in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was Empowering your PWA.

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.

Learn how to build an app to get video and take snapshots with your webcam, and share them peer-to-peer with WebRTC.

In this codelab, you’ll add second-factor authentication to your site or web app with a security key.

In this lab, you'll take website with an existing service worker and convert it to using Workbox. This is the second in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was Going Offline. There are six more

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

Learn how to use the Streetscape Geometry and Rooftop anchors APIs in ARCore with Kotlin.

Learn how to use the Scene Semantics and Geospatial Depth APIs with Kotlin in ARCore.

In this lab, you'll take an existing Progressive Web App that you have deployed and wrap it in an app for distribution in Google's Play store. Bubblewrap is a tool to make wrapping your Progressive Web App into an Android App Bundle as easy as

Learn how to build a Flutter app that classifies texts and displays the results in its UI.

In this codelab, you’ll learn how to build a simple web page that has commenting ability akin to a blog post article and integrate it with a pre trained machine learning model to detect comment spam posts, enabling you to filter these out before they even get stored in any backend database, reducing server processing time and cost.

Learn to use CNNs with complex images in which the subject could be anywhere.

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 to use CNNs with large datasets to avoid overfitting.

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

Learn how to craft narratives for your Data Card readers, optimize for a focused and concise document, and explore different approaches to analyses that can help your readers build a better intuition about your dataset.

Learn how to build an Android app that detects objects within images and renders the results in its UI.

Learn how to implement passkeys with form autofill in a web app to create a simpler and safer sign-in.

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

In this codelab, you’ll learn how to build a simple app for Android and iOS capable of correctly labeling an image.

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

Learn how to build a website with a simple reauthentication functionality that uses a fingerprint sensor.

Learn how to use the ARCore Geospatial Creator for Unity.

Learn the basics of developing with Google Assistant.

Learn to build convolutions and perform pooling to enhance computer vision.

Learn the basics of developing with Google Assistant.

In this codelab, you’ll learn to create a basic app for audio classification, that can record audio using the phone’s microphone.

Learn how to measure a web page’s Core Web Vitals with the web-vitals JavaScript library.

In this lab, you'll take an existing web application add add web worker to share state between two open windows. This is the eighth in a series of companion codelabs for the Progressive Web App workshop. The previous codelab was Service Worker

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 to create a computer vision model that recognizes items of clothing with TensorFlow.

In this codelab you’ll learn how to use Model Maker to retrain a comment spam model to account for edge cases the pre-trained model could not handle, and then re-deploy the new model to the web application.

Learn how to define what transparency means to your organization and stakeholders, and then create a schema that captures the human decisions and invisible explanations that shape datasets.

Learn how to secure your online information, identify phishing attacks, enable Advanced Protections for Google Accounts, and stay safe on social media.

Learn how to systematically evaluate your completed Data Card, measure and track your transparency efforts, and apply frameworks to audit your Data Card for assumptions and blind spots.

Learn how to format your spreadsheet data with Apps Script.

Learn how to find gaps in your existing documentation schema with heuristics and dimensions, and assess how easily your audiences can read and understand your dataset documentation.

In this codelab, you will build a Custom Web Receiver app to play content on Cast-enabled devices.

In this codelab, you will modify an existing iOS video app to cast content on a Google Cast-enabled device.

In this codelab, you will modify an existing Android video app to cast content on a Google Cast-enabled device.

In this codelab, you will modify an existing Android TV app to support casting and communication from your existing Cast sender apps.

In this codelab, you will build a Custom Web Receiver application that uses the Cast Live API.

In this codelab, you will build a Custom Web Receiver application that uses the Cast Ad Breaks API.

In this codelab, you will modify an existing web video app to cast content on a Google Cast-enabled device.

In this codelab, you will add the Cast Debug Logger to your existing Custom Web Receiver app.

This codelab will teach you how to use linear regression to create a model that predicts cost-per-click. To complete this codelab, you'll need enough high quality campaign data to create a model. Run the following query It's a best practice to

This codelab will teach you how to use logistic regression to understand the degree to which features such as gender, age group, impression time, and browser type correlate to a user's likelihood to click an ad. To complete this codelab, you'll need

This codelab will teach you how to use logistic regression to understand the degree to which features such as gender, age group, impression time, and browser type correlate to a user's likelihood to click an ad. To complete this codelab, you'll need

This codelab will teach you how to use linear regression to create a model that predicts cost-per-click. To complete this codelab, you'll need: To complete this codelab, you'll need enough high quality campaign data to create a model. Run the

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 implement dynamic app shortcuts with Google

Generative AI products are relatively new and the behaviors of an application can vary more than earlier forms of software. This makes it important to probe the machine learning models being used, examine examples of the model's behavior and

In this codelab, you’ll build a GitHub client in Flutter for desktop.

In this codelab, you’ll learn how to add the webview_flutter plugin to a Flutter app.

In this codelab, you’ll Install ABAP Platform Trial 202

In this codelab, you’ll set up Cloud KMS Autokey and encrypt resources automatically and on-demand as you create them.

GitHub - Code review automation with GenAI

GitLab - Code review automation with GenAI

Bitbucket - Code review automation with GenAI

This codelab shows how to add billing to an existing app. You will learn how to use the Google Play Billing Library in your project in a way that hides the nitty-gritty details from the rest of your app and engineering team.

In this codelab, you will learn how to implement auto-renewing subscriptions and prepaid plans, including base plans and flexible offers.

Access Anthropic on Vertex AI from a VM via python sdk and PSC endpoint

In this codelab you’ll learn how to build adaptive apps for phones, tablets, and foldables, also learning about reachability. You’ll also learn best practices for Material 3 adaptive components.

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 will train a handwritten digit classifier model using TensorFlow, then convert it to TensorFlow Lite format and deploy it on an Android app.

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

In this codelab, you’ll learn how to publish an event to Google Cloud Pub/Sub service

In this codelab, you’ll receive an event from Cloud Pub/Sub using ABAP SDK

In this codelab, you’ll learn how to call the methods of Cloud Storage JSON API using ABAP SDK for Google Cloud and Upload File

In this codelab you’ll use Gemini Pro model to perform sentiment analysis on product reviews with ABAP SDK

In this codelab, you’ll learn how to call the methods of the Translation API using ABAP SDK

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.

Download the Java sample code. The Java sample code integrates with Google's Standard Payments APIs. The sample code project structure contains a outbound directory as well as a inbound directory to reflect the inbound echo request from Google to the

This is a self-guided codelab that will walk through how to establish connectivity with Stanadard Payments APIs. Download the Node.js sample code. Navigate to the project directory and run the following command to install the required dependencies.

With this codelab, we will demonstrate how Gemini 1.5 Pro can be used together with AlloyDB and VertexAI to build a patent search application.

In this codelab, you’ll configure ABAP SDK authentication using tokens for SAP hosted on Compute Engine VM and execute Address validation API

how to get started with event-driven Cloud Run functions

Customize the Google Home Sample App for Matter to commission and manage devices.

Learn to use KerasNLP to load a pre-trained Large Language Model, optimize it and deploy it on Android with TensorFlow Lite

In this codelab, you will learn about the Private Service Connect 66 implementation and validation through deploying a consumer and producer network.

In this codelab, you will learn about the Private Service Connect 64 implementation and validation through deploying a consumer and producer network.

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, modify a sample Unity project to take advantage of Play Asset Delivery for on-demand asset downloading from Google Play.

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 learn how to protect the BigQuery API using VPC Service Controls. The codelab starts with no API service protected by the service perimeter, allowing queries to be run on public datasets, and the results to be saved in a

In this Codelab, you’ll learn how Device Access works and build a web application that handles authentication and Smart Device Management API calls for a Nest Thermostat.

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.

Learn how to craft game mechanics in Flutter and Flame games with Forge2D, a 2D physics engine.

In this codelab, you’ll build, commission, and use a virtual Matter device.

Measure Core Web Vitals in real time with web-vitals.js and Google Analytics, then analyze the results using BigQuery.

The goal of this lab is to explore NCC with VPC as a spoke

Learn how to develop your apps to support keyboard and pointing devices, such as mouse and trackpad, with Compose.

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.

With the advent of Android 12L and the availability of new form factors (such as foldable devices) and display modes such as multi-window and multi-display, many assumptions regarding the relationship between the camera output and the surface have been challenged.

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’ll learn how to retrieve Credentials/Secrets from Secret Manager with ABAP SDK for Google Cloud

In this codelab, you learn how to add predictive back animations to the SociaLite app.

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 codelab, you’ll learn how to build and test great parked experiences for Android Automotive OS devices. You learn how to make the most of the wide variety of screens found in cars and how to let users control playback of content in various scenarios unique to cars using standard Android mechanisms.

In this codelab, you’ll build a Media CDN distribution, which runs your custom code through a Service Extensions plugin to achieve custom HTTP authentication.

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

Learn how to run an app on the Android Emulator.

In this codelab, you learn how to migrate parts of a screen in the View system to Jetpack Compose.

Learn how to adapt your app for large screens by implementing one of the canonical layout patterns.

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’ll look at how Gemini Code Assist assists you across key stages of the Software Development Life Cycle (SDLC) like design, build & test and deploy. We will design and develop an entire application and deploy it on Google Cloud.

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.

For this codelab, two things are necessary: access to a Google Cloud project with Gemini enabled, and a web page for us to style. You can enable Gemini in a new project by clicking on the Gemini button in the top right of the Cloud Console clicking

Learn how to build a simple app with composable functions.

Learn how to build a simple app with composable functions.

Learn how to test the ViewModel to verify the correctness, functional behavior, and usability of your app.

With this codelab, we will demonstrate how to integrate LLM models, Gemini 1.0 Pro (text only) and Gemini 1.0 Pro Vision (multimodal), directly within your BigQuery workload for a low-code generative insight generation experience.

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.

This Codelab will demonstrate how to use Gemini to build a client application on top of an existing API backend. This lab is intended to illustrate using Gemini with an existing application. In this lab, you will learn how to do the following:

The WorkManager API for Android makes working in the background simple. WorkManager can create tasks that are queryable, reusable, and chainable. WorkManager is the recommended task scheduler on Android. This codelab will teach you the ins and outs of WorkManager: everything from writing a simple job to more complex chained jobs.

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

Learn how to adapt your app for large screens with adaptive navigation ui patterns.

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.

In this codelab, you’ll create two VPCs and use different types of IP addresses to access your simple apache website.

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.

In this codelab, you’ll learn the fundamentals of Android Accessibility. You’ll work through exercises to learn how to use the Android platform to build apps that can be used more easily by a wider set of people with different accessibility needs.

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

With this codelab, we will demonstrate how Gemini 1.0 Pro can be used together with Spanner and VertexAI to build a patent search application.

Learn to use Kotlin coroutines inside an Android app and how to test coroutines.

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.

Learn how to use Room in your Android Kotlin apps. Room is a persistence database library that’s part of Android Jetpack. Room is an abstraction layer over SQLite. Room provides convenient APIs to set up, configure, and query the database.

Learn how to use Room to read and update data in your Android Kotlin apps. Room is a database library that’s part of Android Jetpack. Room takes care of many of the chores of setting up and configuring a database, and makes it possible for your app to interact with the database using ordinary function calls.

This is an interactive codelab for learning how to measure Interaction to Next Paint (INP) using the web-vitals library. The code is found in the the web-vitals-codelabs repository. This codelab uses the Gastropodicon (a popular snail anatomy

In this codelab, you’ll launch your first Kaggle competition and go through the competitor experience. You’ll learn best practices for creating an engaging learning environment.

An interactive demo and codelab for learning about how to achieve instant navigations through prerendering using the Speculation Rules API. The codelab is estimated to take 30 minutes to complete and you can track the remaining time at the top of the

Learn to enable drag and drop for your views along with use of DragHelper and DropHelper both within the app and across the app.

In this codelab, you’ll gain experience with building an application with adaptive design that animates fluidly with Material 3 on all six platforms that Flutter supports.

In this codelab, you’ll construct a Flutter app that adapts to all six platforms that Flutter supports - Android, iOS, the web, Windows, macOS, and Linux.

Flutter is Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. In this codelab, you start with a plain music app and (using Material 3) make it more beautiful and more responsive for all platforms.

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.

In this codelab, you’ll build and test a simple Flutter app.

Learn how to build Flutter user interfaces with animations, shaders, and particle effects that work across all of Flutter’s six platforms.

Make your Compose app run fast by analyzing system traces and fixing common lag causes.

In this codelab, you’ll build a Flutter plugin for both mobile and desktop platforms using FFI to make use of an existing native C library.

In this codelab you will learn how to use Flame, a game engine built on top of Flutter. You will be introduced to Flame’s Components and effects, along with how to integrate Flame with Flutter’s state management.

Use patterns, records, and other new features of Dart 3 to re-architect your UI design style in Flutter.

Learn how to use community-developed libraries to connect to a web service to retrieve and display data in your Android Kotlin compose app. Also learn how to handle potential network errors.

Learn how to further improve the architecture of the Mars Photos app by separating the network calls into a repository.

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 ARCore’s Augmented Images to add virtual content attached to an image and track the image’s movement.

Learn how to test the Navigation component and maximize the amount of code that is tested.

Learn how to test an app for accessibility.

Build an app that displays a scrollable list of affirmations with text and images.

Change the app icon for the Affirmations app.

Learn how to add adaptive layouts to a view-based Android app with Jetpack Compose.

Learn how to create an Android app that showcases your own art space.

Add the Navigation component to the Cupcake app to organize the flow of the app, navigate and pass data between different screens.

Learn how to add a simple spring animation to your Compose app.

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.

In this codelab, you learn how to add Glance widgets to the SociaLite app.

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

In this codelab, you’ll create a Home Screen widget for your iOS or Android Flutter app. You’ll start with a basic Flutter news app. You’ll then use native frameworks to create the UI for the widgets themselves. Finally, you’ll learn how to share resources and establish communication between your widgets and main app.

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.

Over the years, Android devices have evolved to include a variety of sizes, shapes, and displays, among other features. Since the beginning, however, taking pictures with your phone has been one of the most important use cases. Today, camera capabilities are still one of the top reasons consumers purchase a phone.

With this codelab, we will demonstrate how Gemini 1.0 Pro simplifies master data management applications like enrichment and deduplication, for the citibike_stations data available in the BigQuery public dataset.

Learn how to build a compute-intensive Flutter app and still maintain Flutter’s fluid interactivity.

In this codelab, you learn about the activity lifecycle and logging.

Learn about state, and how it can be used and manipulated by Jetpack Compose.

Learn how to add Material Theming to an app, including color, shape, and typography.

Apply what you learned about button click behavior to build an app.

We will create a simple Ruby app using the TDD (Test Driven Development) approach with the help of Gemini.

With this codelab we will create a chrome extension using Gemini. We will add iterative features to reach a level which helps us add functionality to the google meet page.

Learn how to use the debugger in Android Studio to inspect and debug the state of your app at runtime.

This practical codelab is part of Unit 1: Get started in the Android Developer Fundamentals (Version 2) course. You will get the most value out of this course if you work through the codelabs in sequence: In this practical you learn more about the

Learn how to build an interactive Dice Roller app that lets users roll a dice and then shows them the result.

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

Learn how to handle edge-to-edge enforcements in Android 15.

Learn how to create a theme and brand that’s accessible and personalized with Material 3.

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.

Learn how to create your first Android app.

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

Learn how to use adaptive design principles in Material Design to achieve consistency across screen sizes. In this codelab, you take a mobile design to tablet format, and learn about the responsive grid, adaptive composition patterns, and the correct components.

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.

Vulkan is a high performance, modern graphic API. It provides low level accessibility to the GPU and optimizes implementation in various ways, but it is difficult to use. The alternative, OpenGL ES, was simpler but has less features and performance as it is based on legacy hardware architecture. OpenGL ES has been deprecated on most other platforms and is no longer in active development. On Android, we are planning to deprecate OpenGL ES and move to Vulkan and need to prepare developers for the transition.

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.

Learn how to use nullability in Kotlin.

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.

3D graphics are a fundamental part of many applications, including gaming, design and data visualization. As graphics processors and creation tools continue to improve, larger and more complex 3D models will become commonplace and help fuel new

This codelab shows how to use the Bigtable change streams to BigQuery template. You’ll use a sample data set to get familiar with querying the change log and use Looker to create a visual dashboard.

Learn the basics of using Material Components by creating a login page for a simple Flutter app.

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.

Learn about functions in Kotlin

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).

Using Duet AI to help with tasks for an existing project.

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

In this codelab, you’ll learn how to call Vertex AI PaLM 2 Text (text-bison) LLM from your ABAP environment with ABAP SDK for Google Cloud

The purpose of this workshop is to provide hands-on Duet AI education to users and practitioners. In this codelab, you learn the following: To show how Duet AI for Developers is used authentically in day-to-day development, this workshop's activities

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

In this codelab, you will create a machine learning (ML) model in BigQuery and get predictions from this model in SAP using ABAP SDK for Google Cloud

Learn how to integrate Relay into Compose apps and accelerate your design-to-code workflow.

In this codelab, you’ll start with a simple 3D physics simulation game and integrate Adaptability features to it. You will integrate:

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

In this codelab, you use the Coil library to load and display photos from the internet in your Android Compose app.

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

In this codelab, you’ll build a fullstack recommendation system. You will use TensorFlow Recommenders to train 2 recommendation models and deploy them using TensorFlow Serving as the backend. You will also build a cross-platform Flutter app as the frontend.

In this codelab, you’ll learn the basics of Compose.

Within Kotlin Playground, learn to use Kotlin coroutines to write asynchronous code.

Learn how to download and install Android Studio

Learn how to connect your app

In this codelab, you’ll learn about & build a Web Component from scratch and then progressively enhance it to a Lit Element.

In this codelab, you’ll learn how to translate React concepts to Lit

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.

In this codelab, you’ll program OpenThread on real hardware, create and manage a Thread network, and pass messages between nodes.

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 learn how to continue receiving location updates for Android 10, keeping best practices for the platform in mind.

This codelab introduces how to create a camera app that uses CameraX to show a viewfinder, take photos and analyze an image stream from the camera.

In this codelab, you will install Android 11 Generic System Image (GSI) to Android 9 (Pie) devices. After that, you can develop and validate your application with the new OS!

In this codelab, you’ll modify a sample app to incorporate Jetpack Preferences DataStore, a new and improved data store solution and replacement for SharedPreferences.

The purpose of this codelab is to demonstrate theming in Jetpack Compose with new Material Design 3 and Material You implementation.

Nesse codelab você aprenderá como converter seu código Java para Kotlin.

Learn how to add an action button, set up keyboard actions, and use a Switch composable.

Learn how to troubleshoot Matter integrations using analytics tools and find out more about the developer support resources.

In this codelab, you’ll learn advanced concepts of state and side effects in Jetpack Compose. See how to create a state holder for complex stateful composables, how to create coroutines and call suspend functions from Compose code, and how to trigger side effects to accomplish different use cases.

Learn how to use classes and objects in Kotlin.

In this Jetpack Compose-based codelab, you’ll optimize an Android app to demonstrate best practices for free-form resizing. This includes using manifest compatibility, configuration change implications, and maintaining continuity through resizing.

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 to make server to server calls to send events to GA4 using Measurement Protocol

In this codelab you’ll learn about how to build rich, interactive, Compose applications by managing state.

In this codelab, you’ll learn how to use some Compose Animation APIs.

In this codelab you’ll learn about testing UIs created with Jetpack Compose. You will write your first tests while learning about testing in isolation, debugging tests, semantics trees and synchronization.

In this codelab, you’ll write expressions in the Common Expression Language, implemented in Go. You’ll create variables, use logical and/or operators, build json, build protos, and tune your expressions.

In this codelab, you’ll add Android Performance Tuner to a Unity game, allowing you to get performance measures reported in the Google Play Console when people play your game.

Discover how the Material Flutter library makes it easy to differentiate your product and express your brand through design.

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 how to build an Accessibility Service for Android users.

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

In this codelab, you’ll learn to generate images from the given keywords using the GenAI APIs. This is a two step process where the text-bison API is called to generate an image generation prompt, and then the Imagen api is invoked to generate an image as per the generated prompt. This entire workflow is launched on a frontend using the Gradio app.

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

In this codelab, you will learn how to generate images with Vertex AI and send the images to Google Ads

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.

Apply the basic concepts of the Kotlin programming language to solve the given problems.

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.

In this Codelab, you’ll program OpenThread on real hardware, create and manage a Thread network, and pass messages between nodes.

In this codelab you will learn how to add on-device text-to-image generation to your Android apps with MediaPipe Solutions.

In this codelab, you learn how to adapt your game (or a Unity sample game) to Google Play Games. This is your first step to PC support for your Android game.

In this codelab, we will demonstrate an example of how you can think about building revenue buckets to set up SKAd Network Conversion Value Schema

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

Learn how to create a custom object detection web app with MediaPipe.

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.

Learn to adapt your app to new form factors, like foldable and dual-screen devices, with the Jetpack WindowManager library.

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.

Learn how your own border router and app can interact with Google APIs to make a single Thread Network.

In this codelab, you will migrate applications from Apache Kafka to Google Cloud Pubsub using a phased migration approach.

In this codelab, you’ll build, commission, and use a Matter device.

Learn how to use Activity Recognition Transition Api to build powerful contextual features in your app

Learn how to add an action button, set up keyboard actions, and use a Switch composable.

Learn how to create and modify simple programs in Kotlin.

Over the years, Android devices have evolved to include a variety of sizes, shapes, and displays, among other features. Since the beginning, however, taking pictures with your phone has been one of the most important use cases. Today, camera capabilities are still one of the top reasons consumers purchase a phone.

In this codelab, you’ll learn how to write an automation template.

In this codelab, you’ll learn how to design an app icon for your Android app that will include adaptive, themed, and notification icons. Plus how to generate all the needed sizes and formats for eng handoff.

In this codelab, you’ll build an Android App which lists a series of restaurants. It aims to help design, configure, and verify Android App Links.

Gain a high-level introduction to more Kotlin concepts such as generics, enum classes, data classes, objects, and scope functions which you’ll be using in your Compose code.

In this codelab, you’ll learn how to measure app startup timing and frame timing with Jetpack Macrobenchmark.

Request location permission in Android 1

Build upon the concepts of material design, building a list and simple animations to build a list of super-heroes.

Android has many choices for guaranteed background work, which have various pros and cons. The WorkManager library for Android makes working in the background simple. WorkManager deals with edge cases and compatibility issues. It also can create tasks that are query-able, reusable and chain-able. WorkManager is the recommended task scheduler on Android. This codelab will teach you the ins-and-outs of WorkManager: everything from writing a simple job to more complex chained jobs with constraints.

In this codelab, you’ll add Android Performance Tuner to a native Android game, allowing you to get performance measures reported in the Google Play Console when people play your game.

In this codelab, you learn some of the advantages of using Kotlin, and you install the necessary tools (JDK+IDE).

This codelab shows how to improve app startup timing and frame timing with Baseline Profiles.

Learn how to implement advanced techniques that enable a state-of-the-art stylus experience in an Android app.

Learn how to write conditionals in Kotlin.

Learn how to use common higher-order functions with collections in Kotlin

Learn how to create an Android app that showcases your business card.

Learn how to use arrays and collections, including lists, sets, and maps.

In this codelab, you’ll add the Play Integrity API to a sample application. You’ll use the Play Integrity API to request an integrity verdict that helps you make determinations about the license status and integrity of your app, and the integrity status of the device it is running on.

In this codelab, modify a C++ demo application to take advantage of Play Asset Delivery for on-demand asset downloading from Google Play.

Add a scrollable list to the Affirmations app

In this codelab, you’ll integrate rewarded video ads into a simple demo game.

In this codelab you’ll learn how to write tests for a real world Android application that uses modern architecture. It showcases unit, integration and end-to-end tests using JUnit4, code coverage tools, Robolectric and Espresso. You’ll also learn how to create tests for an app that uses Kotlin coroutines and Architecture Components like ViewModel, LiveData, Room, Navigation and Data Binding.

Android has released many individual privacy features over the past few releases, and we are excited for you to adopt them in your apps! This codelab will seek to tie individual privacy features together and show the developer how they can learn about their app’s access to private user data and adopt privacy best practices in an existing, running app.

Learn how to use arrays and collections, including lists, sets, and maps.