Codelabs to learn about Google developer products and technologies

Learn about the different computing options that are available on Google Cloud by completing codelabs. The following codelabs will step you through creating, connecting to, and using Compute Engine and related technologies and products.

In this workshop, you are introduced to Document AI. Document AI is a document-understanding solution that takes unstructured data, such as documents, emails, invoices, and forms, and makes the data easier to understand, analyze, and consume. The API provides structure through content classification, entity extraction, advanced searching, and more. The labs start with a basic introduction to Optical Character Recognition (OCR), including how to perform batch and online processing, and progresses to the Form Parser, Specialized Processors, Custom Processors, and Document AI Warehouse.

With these codelabs, learn the capabilities of Duet AI and how to seamlessly integrate it into your development process. Learn practical knowledge that you can put into your everyday work right away.

Come learn about Google Cloud Platform (GCP) by completing codelabs and coding challenges! The following codelabs will step you through using different parts of GCP. These challenges cover a wide range of topics such as Compute, Data, Machine Learning, Monitoring, and Networking. Go to g.co/codelabs/europython to find more codelabs you can try at home.

Mountain View, CA - May 7-9, 2019

Come learn about Google Cloud Platform by completing codelabs and coding challenges! The following codelabs will step you through using different parts of Google Cloud Platform. These challenges cover a range of topics such as Compute Engine, App Engine, Kubernetes, Cloud Shell. Go to g.co/codelabs/ndc to find more codelabs you can try at home.

In this workshop, you will discover the various serverless options offered by Google Cloud Platform, such Cloud Functions (functions as a service), App Engine (application as a service), and Cloud Run (container as a service). You will create an application that lets users upload, analyse, and share pictures. Data will be stored in Cloud Storage (images), Cloud Firestore (structured data). Along the way, additional services will be used such as Vision API (to analyze pictures), Cloud Logging (to track interesting events), Cloud Scheduler (to invoke workloads on a schedule), Cloud Pub/Sub and Eventarc (to receive events) and Workflows (to orchestrate services).

Venez explorer Google Cloud en complétant nos codelabs ! Ces tutoriels vous guideront dans la découverte des différentes technologies du cloud, en conditions réelles. Une large palette de sujets sont couverts : machine learning, big data, serverless, calcul, monitoring, infrastructure… Rendez-vous sur g.co/codelabs/pyconfr pour continuer vos explorations après l'événement.

Learn how to leverage Google Cloud Platform from Spring and Spring Boot applications. This page has short labs from using Spring Cloud GCP starters that are designed to let you get started quickly with managed services, to deploying and running Spring boot applications in App Engine and Kubernetes.

Come learn about Windows and .NET on Google Cloud Platform by completing codelabs! The following codelabs will step you through using different parts of Google Cloud Platform covering a range of topics such as Compute Engine, App Engine, Kubernetes, Cloud Shell.