Learn how to use, deliver, and monitor Generative AI-enabled applications and get into production faster with Azure Red Hat® OpenShift® (ARO). As part of this hands-on lab, IT operations, data engineers, data scientists, and application developers will have the opportunity to build, train, deploy,  compare AI models and integrate them into a GitOps deployed application. You will experience what it is like to go from an idea to evaluating foundation models, to tuning a model, add data retrieval enhancements with RAG and then deliver a production-ready application that delivers the business value of Gen AI. 

• Key lessons include working with data science projects and workbenches, evaluating models, training models and measuring accuracy, serving and deploying models, integrating different models and capabilities into a business ready application, and testing the application as a user. 

• Specific solutions use include Azure Red Hat OpenShift, Red Hat OpenShift AI, Azure Open AI, Azure AI Search, Azure managed Postgres DB and Azure Cosmos DB integration. 

• Knowledge of entry-level Kubernetes concepts is a plus. No AI experience is required.

WHO SHOULD ATTEND:
Data Science, Data Engineers, Application developers and line of Business owners looking to understand the integration of Generative AI models into Business ready applications. 

Agenda