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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 |
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.
โข 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.
โข 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.
โข Knowledge of entry-level Kubernetes concepts is a plus. No AI experience is required.
Who Should Attend:
โข Data Science, Data Engineers, Application developers and line of Business owners looking to understand the integration of Generative AI models into Business ready applications.
2025 Partner
โข Microsoft