OVERVIEW
Generative AI is moving beyond experimentation into real business applications. This session focuses on how to design, build, and deploy a production-ready GenAI application using Red Hat AI Enterprise.
We will walk through a practical journey that starts with prompt engineering and evolves into a fully functional AI assistant application. The session addresses key enterprise challenges such as consistency, governance, and operational complexity by introducing a structured GenAIOps approach.
Through a live demo, we will build a sample application using Retrieval Augmented Generation and agent-based capabilities. You will see how teams can standardize development, integrate enterprise data, and deploy securely across environments.
This demo-led webinar will offer a high-level preview of the overall solution using Red Hat AI Enterprise
Key Takeaways with Live Demo
- Build your first GenAI application
Create a working AI assistant using prompts, APIs, and enterprise data, showing how AI applications are developed as complete products. - Improve accuracy with Retrieval Augmented Generation
Connect the application to enterprise knowledge sources to provide grounded and reliable responses. - Adopt GenAIOps practices for consistency
Use pipelines and structured workflows to manage development, deployment, and updates efficiently. - Enhance applications with agents and guardrails
Introduce tool usage, safety controls, and monitoring to make applications production ready. - Accelerate adoption with Red Hat AI
Understand how a unified platform helps scale AI initiatives securely across hybrid and multi cloud environments.
Questions? Please reach out to Sylvia A.
