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Voltaire Yap, Global Events Manager, Oracle Corp.
Building an AI agent that works in a demo is straightforward. Deploying one that performs reliably in production, with real users and unpredictable inputs, requires a different level of engineering. This session walks through the complete journey from a simple prototype to a production-ready AI agent using the open-source Strands Agents SDK and Amazon Bedrock AgentCore Runtime.
The session demonstrates how to build an agent with minimal code, using a system prompt, a model, and tools, and then focuses on the critical steps often overlooked in tutorials: packaging, deployment, scaling, security, and monitoring in a managed cloud environment. It also examines a model-driven approach to agent design, where modern LLM capabilities reduce the need for heavy orchestration frameworks. Through a live walkthrough, you will see how an agent can be taken from a local setup to a fully deployed, scalable endpoint on AWS, with support for concurrency, long-running tasks, and operational resilience.
What You Will Learn
How to build and deploy an AI agent using Strands Agents SDK and Amazon Bedrock AgentCore Runtime
How to handle scaling, concurrency, and long-running tasks in production environments
Key considerations for packaging, securing, and monitoring AI agents in the cloud
Who Should Attend
Backend developers
Cloud and platform engineers
AI and machine learning practitioners
Software architects evaluating AI agent deployment strategies
