Venue
Virtual

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Event Date Tue Mar 11 UTC (3 months ago)
In your timezone (EDT): Mon Mar 10 8:00pm - Mon Mar 10 8:00pm
Location Virtual
Region All
Details

Learn how to use, deliver, and monitor Generative AI-enabled applications and get into production faster with Azure Red Hatยฎ OpenShiftยฎ (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.

โ€ข 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.

โ€ข 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.

โ€ข Knowledge of entry-level Kubernetes concepts is a plus. No AI experience is required.

Who Should Attend:
โ€ข Data Science, Data Engineers, Application developers and line of Business owners looking to understand the integration of Generative AI models into Business ready applications.

Sponsors & Partners

2025 Partner

โ€ข Microsoft