Generative AI is no longer just experimental. Enterprises today are building production-ready agentic systems that operate reliably, securely, and efficiently at scale. But how do you turn prototypes into robust, production-grade AI applications?

In this session, you’ll learn how to:

* Design resilient AI platforms that integrate reasoning, retrieval, and tool orchestration.

* Automate infrastructure and deployment using Terraform and GitHub Actions.

* Leverage foundation models from Bedrock, OpenAI, and Perplexity for scalable AI workflows.

* Scale across cloud environments like AWS, Azure while ensuring reliability and resilience.

We’ll walk through real-world strategies to deploy and operate large-scale agentic applications, showing how to make GenAI systems production-ready, maintainable, and highly available. By the end, you’ll know how to take your AI projects from proof-of-concept to enterprise-scale deployment.