From Experiments to Production - Building Production-Grade Agentic AI Systems on AWS
About this session
Agentic AI systems promise autonomous decision-making, task execution, and continuous reasoning—but most implementations struggle to move beyond the experimental phase. In production, agents must operate within strict boundaries to ensure reliability, security, cost-effectiveness, and accountability.
This session explores how to design, deploy, and operate production-grade Agentic AI systems on AWS that deliver measurable business value while remaining observable, controllable, and safe.
Speaker
Key takeaways
- Understand the core architecture and AWS building blocks needed to move Agentic AI from prototype to production.
- Learn how to design agentic systems with security, governance, observability, scalability, and resilience in mind.
- Leave with a repeatable approach for building enterprise-grade AI platforms that can evolve as models, agents, tools, and business requirements change.