Developer Sandbox

BERT, which stands for Bidirectional Encoder Representations from Transformers

This article explains how to use Red Hat OpenShift AI in the Developer Sandbox for Red Hat OpenShift to create and deploy models.

Address cross-cloud identity challenges with SPIFFE/SPIRE on Red Hat OpenShift

Learn how to convert existing DeploymentConfigs into Kubernetes Deployments in

Get access to Red Hat's software downloads for application developers.

Learn how to build an end-to-end reactive stream processing application using Apache Kafka as an event streaming platform, Quarkus for your backend, and a frontend written in Angular.

Are you curious about the power of artificial intelligence (AI) but not sure

Move your legacy Java application into a container and deploy it to Kubernetes

Podman Desktop's Red Hat Account Extension offers easier access to products like Red Hat Enterprise Linux and helps get your job done on your chosen desktop OS.

A common platform for machine learning and app development on the hybrid cloud.

Applications based on machine learning and deep learning, using structured and unstructured data as the fuel to drive these applications.

Red Hat provides AI/ML across its products and platforms, giving developers a portfolio of enterprise-class AI/ML solutions to deploy AI-enabled applications in any environment, increase efficiency, and accelerate time-to-value.

Enterprise grade Artificial Intelligence and Machine Learning (AI/ML) for Developers, Data Engineers, Data Scientists and Operations.

In this exercise, we will deploy and update a distributed application on-the-fly

Get a hands-on introduction to Tilt, a tool that automates the inner-loop

Learn how to access a large language model using Node.js and LangChain.js. You

Get an introduction to OpenShift Pipelines for automated builds and deployment.

Learn how to develop modern Java applications using JBoss EAP 8 and deploy them

This exercise, created by Ian Lawson, demonstrates how you can go from initial

Learn how to connect your Quarkus application to a fully-managed MongoDB database instance and run it on Kubernetes in this tutorial.

Learn how to install the Red Hat Trusted Artifact Signer using Google identity

Learn how to implement a back-end function and a front-end web application, then

In this learning path, you will use basic Kubernetes skills to understand and

Learn how to onboard developers onto Red Hat Developer Hub, so they can import

Because application images are prebuilt for use in containers, using server