Beyond Prototypes: Deploying Scalable AI Agents with AWS Bedrock AgentCore

Moving an AI agent from a local Jupyter notebook to a production-ready cloud environment often feels like hitting a wall. You have to worry about containerization, scaling, API security, and managing conversation state—all before your agent even processes its first real user request.
Join us for a hands-on deep dive into Amazon Bedrock AgentCore, the new managed service designed to strip away the infrastructure headache of agent deployment. We will explore how AgentCore provides a serverless runtime that handles the heavy lifting, allowing you to deploy agents built with popular frameworks like Strands, LangGraph, or CrewAI in minutes.
In this session, we’ll cover:

• The AgentCore Architecture: Understanding the serverless runtime and how it integrates with Foundation Models.
• From Local to Live: A step-by-step walkthrough of wrapping your agent logic and deploying via the AgentCore CLI.
• State & Memory: How to persist user sessions and long-term memory without managing external databases.
• Production Readiness: Implementing authentication and connecting your agent to real-world tools and enterprise data.

Codes for past meetups posted: Github
Recordings posted at: YanAITalk

Feel free to reach out if you want to present at upcoming meetups!

Note: You must have a Zoom account to login (free account is sufficient). Zoom Link will be posted to the event page three days before the meetup.