In this codelab we will deploy several agent services using cloud run and agent engine,then inspect how we implement A2A protocol to standardize communications between them. You will learn the core concepts and components of A2A and inspect the interactions by deploying the agents powered by different agentic framework with Gemini backend as different services on top of Cloud Run and Agent Engine

Learn how to build and deploy a secure Model Context Protocol (MCP) server on Cloud Run. Then authenticate to the remote MCP server and invoke MCP tools and prompts from Gemini CLI.

Learn how to connect your deployed ADK agent to a deployed Gemma model for scalable AI applications.

As the DevOps/SRE Guardian in the four-part Agentverse series, you will build a complete, production-grade AgentOps bastion for deploying and managing AI agents. You will deploy GPU-accelerated LLMs, secure them with a Model Armor gateway, automate their lifecycle with a CI/CD pipeline, and establish deep observability.

As the Data Engineer workshop in the four-part Agentverse series, you will transform chaotic, unstructured text into a powerful, structured knowledge engine. You will then build and deploy a wise Retrieval-Augmented Generation (RAG) agent that can provide nuanced, context-aware answers from this new wellspring of data.

As the Architect in the four-part Agentverse series, you will master multi-agent orchestration by using the Google Agent Development Kit (ADK) to design and deploy complex, stateful workflows, creating specialist agents. And using the Agent-to-Agent (A2A) protocol to discover and delegate complex tasks to your new agent legion.

As the Developer workshop in the four-part Agentverse series, you will master “vibecoding,” using the Gemini CLI to translate a high-level design document into a fully functional AI agent. You will then forge a complete CI pipeline with the Agent Development Kit to automatically test, containerize, and prepare your battle-ready agent for deployment.

This hands-on codelab is your first step into building AI agents with Google’s Agent Development Kit (ADK). You will learn how to set up your development environment on Google Cloud, define the core logic for a basic conversational agent powered by a Gemini model, and configure its settings. By the end, you’ll have built and tested your very own “personal assistant” agent, interacting with it through both a command-line interface and a user-friendly web UI, creating a solid foundation for more advanced projects.

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

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

With your MCP server providing the tools, it’s time to build the agent’s “brain.” In this lab, you will use the Agent Development Kit (ADK) to create an intelligent agent that can understand a goal and use the tools from Lab 1 to achieve it.

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

How to use the protocol buffer compiler with gRPC-Rust to build a gRPC client-server application in the Rust programming language.

How to use the protocol buffer compiler with gRPC-Python to build a gRPC client-server application in the Python programming language.

How to use the protocol buffer compiler with gRPC-Java to build a gRPC client-server application in the Java programming language.

How to use the protocol buffer compiler with gRPC-Java to build a gRPC client-server application in the Java programming language.

In this codelab you’ll learn how to use gRPC-Rust to build a gRPC streaming service .

With this codelab, we will demonstrate a sophisticated retail search application built on AlloyDB, AlloyDB AI, leveraging cutting-edge Vector Search, scaNN indexing, faceted filters, and intelligent Adaptive filtering, reranking to deliver a dynamic, hybrid search experience at an enterprise scale.

With this codelab, we will demonstrate the power of Gemini CLI and MCP Toolbox for Databases CLI to understand and analyze the retail dataset and build the database part of the retail e-commerce hybrid search application incrementally.

How to use the protocol buffer compiler with gRPC-Go to build a gRPC client-server application in the Go programming language.

This tutorial guides how to use AI Agent to help you build production-ready agent from an idea.

Learn about all the different tool types Agent Development Kit (ADK) has to offer. This hands-on workshop guides you through building an agent using ADK one tool at a time.

In this codelab you’ll learn how to use gRPC-Go to build a gRPC streaming service .

This codelab guides you through a series of activities with Gemini CLI. The activities range from installing Gemini CLI, looking at its in-built tools, expanding its capabilities with MCP Servers, customizing Gemini CLI for your own rules and exploring a few use cases.

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.

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

How to use the protocol buffer compiler with gRPC-Python to build a gRPC client-server application in the Python programming language.

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

In this codelab, you’ll build an Android app that can segment images from both your cameras in real time using LiteRT.

In this codelab you’ll learn how to deploy AlloyDB and use AI natural language to query data and tune configuration for the predictable and efficient queries

In this codelab you’ll learn how to deploy AlloyDB and use AI integration for semantic search with multimodal embeddings using text and images

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

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

Master multi-agent AI development with Google’s Agent Development Kit (ADK). This hands-on workshop guides you through building, orchestrating, and connecting collaborative agents using ADK, A2A (Agent-to-Agent) communication, and the Model Context Protocol (MCP). You’ll apply these skills by developing “InstaVibe,” an AI-powered social event planning assistant, and learn to deploy your multi-agent system on Google Cloud.

In this tutorial, you’ll learn how to get started with Cloud Run by deploying and running a “Hello World” application using Gradio.

Spanner is a fully managed, horizontally scalable, globally distributed database service that is great for both relational and non-relational workloads. Spanner's Cassandra interface lets you take advantage of Spanner's fully managed, scalable, and

In this codelab you’ll learn how to build a “code-first” data governance workflow. You will programmatically profile a BigQuery table, use the Gemini CLI to generate data quality rule suggestions, validate those rules, and deploy an automated Dataplex quality scan.

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

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

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.

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

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

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 run AI/ML workload with an accelerator using the Trusted Space solution.

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

In this codelab you will use prompt-engineering to build and deploy a Go-based MCP server to improve the Gemini CLI’s Go coding capabilities.

In this codelab you learn how to implement Sign in with Google on Android using Credential Manager. Duration 3:00 - 5:00 To get started, we need to create a new project in Android Studio: Now that we have a Google Cloud Project set up, we need to add

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

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

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.

In this codelab, you’ll build upon the foundations of Learn Android XR fundamentals: Part 1 - Modes and Spatial Panels by further spatializing an app’s UI with the use of orbiters and customizing its Full Space mode experience by setting an environment preference.

In this tutorial, you’ll learn how to get started with Cloud Run by deploying and running a “Hello World” application using FastAPI.

In this tutorial, you’ll learn how to get started with Cloud Run by deploying and running a “Hello World” application using Streamlit.

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 will create a multi agent system with ADK and A2A and deploy in google cloud.

This tutorial guides you through building a accessible agent.

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

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 Vertex AI PaLM 2 Text (text-bison) LLM from your ABAP environment with ABAP SDK for Google Cloud

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

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

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

In this codelab, you’ll learn how to retrieve Credentials/Secrets from Secret Manager with ABAP SDK for Google Cloud

In this codelab, you will test the functionality of IPv6-only VMs, NAT64 and DNS64 services in Google Cloud, focusing on IPv6-only subnets and instances. You will explore how IPv6-only instances can access IPv4 resources using these services and examine DNS resolution behaviors with DNS64.

In this codelab you’ll learn how to build and deploy an AI-Powered Agent Diet Planner. In this lab, you’ll learn how to leverage Streamlit for interactive web application development, integrate with Gemini Pro in Vertex AI for powerful AI capabilities, BigQuery for data management and deploy apps to Cloud Run for scalability and reliability. By the end of this codelab, you will have a fully functional, AI-powered diet planner

This codelab teaches you how to build a fully interactive local search application by using Google Maps Platform Places UI Kit. For the following enablement step, you'll need to enable the Maps JavaScript API, Places UI Kit, and Geocoding API. If you

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

Thread border routers support multicast forwarding, which allows multicast communication between Thread network and Infrastructure (Wi-Fi/ethernet) network segments. This codelab will guide you through the process to set up and play with Thread Multicast features.

In this codelab, you’ll use the OTNS CLI and web visualization to add/move/delete nodes in a simulated Thread network and observe how the network adapts to topology changes.

In this codelab, you will use OTBR as a standard Thread Border Router, discover and reach Thread end devices from a mobile phone connected in the same Wi-Fi network.

Learn how to share the database of your app with Room and Kotlin Multiplatform. This way you can share your most critical business logic with the iOS app preventing unwanted bugs or missing features while preserving the same functionality everywhere.

Learn how to get started with Kotlin Multiplatform from two separate Android and iOS projects. In this codelab you will learn how to add a Kotlin Multiplatform (KMP) module to share code between Android and iOS apps. It covers setting up the project, adding the KMP module, linking it to the Android and iOS apps, and writing platform-specific code.

Use Gemini CLI on a GCE VM and connect via PSC Googleapis endpoint

Learn how to use Firebase MCP in Firebase Studio

With this codelab, we will build a powerful, stateful and e2e Patent Analysis Agent in Java with Agent Development Kit (ADK), AlloyDB & Gemini!

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 build a mobile app using the Home APIs on Android.

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.

This hands-on codelab guides you through empowering a basic ADK agent with a variety of tools. You will start by creating a custom FunctionTool to fetch real-time currency data. Next, you’ll learn a core architectural pattern by integrating Google Search as a specialized sub-agent. Finally, you’ll add a third-party Wikipedia tool from LangChain, transforming your simple chatbot into a sophisticated travel assistant that can intelligently orchestrate multiple capabilities to handle complex user requests.

The goal of this lab is to explore NVIDIA NIM with Google Kubernetes Engine (GKE)

This workshop guides you through building a legal assistant using Google Cloud AI tools. Emphasizing how to process, understand, and search unstructured data. You’ll learn to use a Retrieval-Augmented Generation (RAG) approach to provide more accurate, informed responses based on actual legal information.

In this codelab, you will learn how to integrate a Hybrid NEG as the Service Producer for Agentspace access to a Cross Cloud self-hosted database.

In this codelab, you will learn how to integrate a Zonal NEG as the Service Producer for Agentspace access to a GCE self-hosted database.

In this codelab, you will learn how to create a customer domain to reach Agentspace applications

In this codelab, you’ll learn to create an AI Agent designed to assist with tasks in your sports retail business, get recommendations, find stores, or place an order. You’ll use the Agent Development Kit (ADK) to build the agent and connect it to AlloyDB using the MCP Toolbox for Databases

In this codelab you’ll learn how to leverage serverless Spark capabilities to perform data transformations and analysis on your BigQuery data, all within a unified interface in BigQuery Studio Notebook. With use BigQuery Studio Notebook, you can write and build spark application easily without any spark installation and setup for compute cluster

In this lab, you learn how to manage query costs for on-demand usage of BigQuery by setting up custom quotas.

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, learn how to use Baseline in your web projects.

In this codelab, you’ll learn how to add a Sign in with Google button

In this codelab, you’ll learn how to add a Sign in with Google

Learn how to create a Cloud Run worker pool for Pull-based Pub/Sub Subscriptions

In this codelab you’ll build a QA test planner and product requirements reviewer agent that can read Product Requirements Documents data from Confluence using MCP Server. This agent can review and give expert feedback on what can be improved from the PRD and create a comprehensive test plan which will be associated with the product requirements. After that it will create a CSV file containing the generated test plan

This codelab guides you through creating a Travel Agent that answers user queries about hotels in a city. The Agent will be built using the Agent Development Kit (ADK) and will utilize the MCP Toolbox for Databases, that lets the Agent access data in the database.

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

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

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

Optimize your Play Billing integration to improve purchase reliability & decrease subscriber churn by implementing Real-time Developer Notifications (RTDNs) and testing with Play Billing Lab to improve overall ROI and launch with confidence.

In this codelab, you will learn how to build an evaluation pipeline for AI/ML inferences with Apache Beam and Dataflow.

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).

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

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

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

In this Codelab you will create a Cloud DNS Forwarding Zone with an FQDN forwarding target using gcloud.

In this codelab, you’ll build an AI agent using the latest technologies, Model Context Protocol (MCP), Agent Development Kit (ADK) and the Agent2Agent (A2A) Protocol.

In this codelab, you’ll learn how to adapt your app to run on multiple devices and form factors.

Learn how to manage keyboard focus in Compose

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 learn how to add Firebase Authentication to a Flutter app with only a few lines of code.

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.

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

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.

Learn how to fine tune a model using Cloud Run Jobs

This codelab guides you through exposing BigQuery datasets via the MCP Toolbox for Databases. This enables MCP Clients (IDEs, Agent Desktop applications, etc) to access BigQuery datasets via Natural Language.

In this codelab, you will build a real-time data pipeline to implement Change Data Capture (CDC) using Google Cloud Pub/Sub and Dataproc

In this codelab you’ll deploy ADK agent on Cloud Run, manage traffics for new revisions, observe the agent service behavior during load tests, and trace every invocation process from the user

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.

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 build a multi-agent application for the kitchen renovation project which will be able to handle renovation proposal creation, address permits and compliance requirements and order management integrating it with AlloyDB using Vertex AI Agent Development Kit. In this implementation, we will abstract the order data retrieval step away from the agent and tool by using MCP Toolbox for AlloyDB.

In this codelab, you will use Managed Kafka and Dataproc to generate insights from real time IoT events.

In this codelab, you’ll build a muti-agentic application for the kitchen renovation project which will be able to handle renovation proposal creation, address permits and compliance requirements and order management integrating it with AlloyDB using Vertex AI Agent Development Kit.

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

In this codelab, you’ll build a simple agentic application for creating a kitchen renovation proposal using Vertex AI Agent Development Kit.

Learn how to use 1-click IAP in 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’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 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.

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

Learn how to run a batch interference Cloud Run job

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.

In this codelab, you’ll learn how to integrate Gemini API into your Flutter app using Firebase AI Logic

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

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 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

With this codelab, we will demonstrate a quality controlled and contextual Patent Search application using AlloyDB’s latest RAG features!

In this codelab, you will learn how to create a customer domain to reach Agentspace applications

This codelab walks you through building a GenAI-powered movie recommendation chatbot using the GraphRAG approach. You’ll learn how to create a Knowledge Graph using Neo4j, generate vector embeddings with Vertex AI’s text embedding models, and build a conversational chatbot powered by Gemini. The chatbot combines semantic search with LLM-generated Cypher queries to perform deeper reasoning over the graph and return contextual, explainable movie recommendations based on natural language input.

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

In this codelab you’ll learn how to deploy AlloyDB with AI operators, and use them for semantic search, joins and result ranking.

Gemini 2.5 Pro is Google's strongest model for coding and world knowledge. With the 2.5 series, the Gemini models are now hybrid reasoning models! Gemini 2.5 Pro can apply an extended amount of thinking across tasks, and use tools in order to

In this codelab, you’ll learn how to build a car differentiated experience by adding support for audio while driving to an app that’s already been optimized for Android Automotive OS.

This codelab teaches you how to create a 3D maps app in SwiftUI using the Maps 3D SDK for iOS. You will learn: For the following enablement step, you'll need to enable the Maps 3D SDK for iOS. If you do not already have a Google Cloud Platform

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

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

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 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.

This codelab will teach you how to modify a sample Android app (video app for Kotlin devs, ebook app for Java devs) to publish content using Engage SDK. Note the same logic can be applied to any supported app category.

In this codelab, you’ll learn how to create your own Tile for Wear OS. You’ll use a library that makes it easier to build UI that conforms to Material 3 Expressive design guidelines, and preview your tiles in Android Studio as you develop.

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 mobile app that controls devices using the Home APIs on iOS.

In this codelab, you’ll learn how to translate your Compose knowledge to wearables with the new Compose for Wear OS and Material 3 Expressive components. By the end, you’ll have created both simple and advanced composables in an app for your wrist.

In this codelab, you’ll create advanced automations using the Home APIs on Android.

In this codelab you’ll build a chat assistant specialized in managing your personal expenses, it can store and parse any information from uploaded receipt images, and also help you to search and analyze your expenses. The app itself contains 2 types of services; frontend and backend, in which you will utilize Gradio to create the frontend and FastAPI for the backend. On the backend side, we are architecting an agent using Google Agent Development Kit (ADK) which can manage the multimodal interaction and interact with the storage and Firestore database. Finally you will deploy this service to Cloud Run

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 will learn how to vibe-code a game with Gemini, test it and finally deploy it via Firebase.

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

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

In this codelab, you will learn about Google Cloud Run functions. 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’ll build an OpenThread border router with NAT64 support, and use the end-device in the network to access IPv4 only resources from the internet.

In this Codelab, you’ll use OpenThread APIs to start a Thread network, monitor and react to changes in device roles, and send UDP messages on real hardware.

Google Cloud projects form the basis for creating, enabling, and using all Google Cloud services including managing APIs, enabling billing, adding and removing collaborators, and managing permissions for Google Cloud resources. A project provides a

Learn how to create your first Android app.

Learn how to download and install Android Studio

In this codelab, you’ll learn how to migrate producer services from VPC Peering to Private Service Connect and preserve the connecting IP address in the migration process. This process is best used for services where producer and consumer are in the same Google Cloud Organization.

In this codelab, you’ll learn how to create Wear OS watch faces using the Watch Face Format (WFF). This includes understanding the format itself, the structure of watch face packages and how to validate your watch face.

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

Learn how to build, publish, and monitor an app using Firebase Studio.

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

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

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

In this codelab, you’ll learn how to write a scripted automation.

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

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

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 use Cloud SQL Vertex AI integration for semantic search using vectors and how to create an index on the vector data

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

GenAI Agent in Slack for Q&A over docs and actions with API calls

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 will modify an existing Android TV app to support casting and communication from your existing Cast sender apps.

Learn how to migrate data from Apache Cassandra to Bigtable with no downtime and no application code changes using the Cassandra-Bigtable Proxy and the Datastax ZDM Proxy.

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

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 Angular application on Cloud Run to a Firestore database using the Node.js

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 Angular application on Cloud Run to a Cloud SQL for PostgreSQL database using

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 Firestore database using the Node.js

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 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 using

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

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

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

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

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

Imagine being able to get your data ready for analysis faster and more efficiently without needing to be a coding expert. With BigQuery Data Preparation, that's a reality. This powerful feature simplifies data ingestion, transformation, and

In this codelab, you’ll build a movie review Android app with Firebase Data Connect.

Learn how to build a movie review app for iOS using Firebase Data Connect.

In this codelab you will take an image classifier, and run it on an Android phone using TensorFlow Lite.

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

Learn how to use revisions to do traffic splitting, gradual rollouts, and rollbacks for a Cloud Run service.

Imagine transforming a simple text description into a vibrant, detailed image in seconds. This is the power of generative media, a rapidly evolving field that's reshaping how you create and interact with visual content. Models like Google's Imagen 3

Learn how to upload and serve images using Cloud Storage, Firestore and Cloud Run

Learn how to deploy a FastAPI chatbot app to Cloud Run using Gemini

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

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

In this codelab, you will learn how to integrate an Internet NEG configured with HTTPS as a Service Producer for Looker Southbound access to a GitLab Self-Managed instance deployed on-premesis.

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

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

In this codelab you’ll learn how to build a chat assistant which can also understand your uploaded documents or images. The app itself contains 2 types of services; frontend and backend, in which you will utilize Gradio to create the frontend and FastAPI for the backend and then make them communicate to each other. In this lab, you will learn how uploaded files are transported between the services and what metadata is necessary to be forwarded to Gemini in order to understand the multimodal data.

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

In this codelab, you’ll learn how to publish and consume Cloud Run services via Private Service Connect with both PSC for Google APIs as well as with the custom producer service model.

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

In this codelab, you’ll build an outfit recommendation application that provides intelligent recommendations for matching outfits.

Learn how to host a LLM within a sidecar for a Cloud Run function

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.

Bitbucket - Code review automation with GenAI

GitHub - Code review automation with GenAI

GitLab - Code review automation with GenAI

JIRA user stories implementation with GenAI

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.

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 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 learn how to add predictive back animations to the SociaLite app.

In this codelab, you will learn how to orchestrate and automate Google Cloud and HTTP-based API services with Workflows.

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

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.

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.

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.

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 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 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 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 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

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

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

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

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 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.

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 a web app that uses Cloud Firestore.

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

In this codelab you’ll learn how to build an iOS 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

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 learn how to use ipv6 static routes with new next-hop attributes such as next-hop-instance, next-hop-gateway and next-hop-address

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.

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.

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.

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 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.

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'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

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

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.

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.

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 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.

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

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

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

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 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 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.

Code Review Automation with GenAI

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 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’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.

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.

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

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

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

Learn how to build Perspective API.

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 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.

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

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.

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.

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

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 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.

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 the basics of developing with Google Assistant.

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

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 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 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.

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.

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

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

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

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

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

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

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

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

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.

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

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 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 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.

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

Learn how to use the ARCore Geospatial Creator for Unity.

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.

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

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 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.

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

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 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.

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

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 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

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

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

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 set up Cloud KMS Autokey and encrypt resources automatically and on-demand as you create them.

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 call the methods of Cloud Storage JSON API using ABAP SDK for Google Cloud and Upload File

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.

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.

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

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.

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.

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 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.

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

Learn how to build a simple app with composable functions.

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 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.

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.