Bring AI-enabled applications to market faster with Azure Red Hat OpenShift

Learn how to leverage Red Hat OpenShift AI, running on top of Azure Red Hat OpenShift, with the Microsoft AI ecosystem to accelerate your journey to production AI applications. 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 that will be explained and demonstrated 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 used 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
• Infrastructure teams looking to understand how running Red Hat OpenShift AI on top of Azure Red Hat OpenShift can allow for a standard infrastructure deployment with the freedom for data science teams to work in a way that aligns with your AI teams’ workflow