Most AI agent demos look great in a notebook, but getting them into production means dealing with authentication, secrets, IAM policies, container builds, observability, and repeatable deployments. The proof of concept rarely covers any of that.
Pulumi is joining AICamp San Francisco for an evening of practical content on getting AI agents from prototype to production. Expect a hands-on workshop where you'll deploy a real multi-agent system on Amazon Bedrock AgentCore, with all infrastructure defined as code using Pulumi.
Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:15pm: Welcome + intro to Pulumi
- 6:15pm~7:30pm: Hands-on workshop: Deploying AI Agents
- 7:30pm~8:30pm: Open discussion, Mixer and Closing.
What You'll Learn:
Who Should Attend:
Engineers, platform teams, DevOps practitioners, and AI/ML developers who want to move past notebook demos and deploy real AI agents to production. Useful for anyone building on AWS, evaluating Bedrock AgentCore, or bringing infrastructure-as-code discipline to an AI workload.
Hands-on Workshop: Deploying AI Agents on AWS with Pulumi and Amazon Bedrock AgentCore
Instructor: Laci Videmsky — Solutions Architect, Pulumi
Abstract: In this hands-on session, you'll go from a minimal agent to a multi-tool, multi-agent system running on Amazon Bedrock AgentCore, with all infrastructure defined as code using Pulumi. You'll build and deploy agents that coordinate tasks, call external tools, execute code, and maintain state over time.
You'll walk away with:
- A working multi-agent system deployed on AWS
- Infrastructure as code you can reuse and extend
- Hands-on experience with Amazon Bedrock AgentCore and Pulumi
Prerequisites:
- Laptop with internet access
- AWS account with Bedrock model access enabled (details provided ahead of the event)
- Pulumi account (free tier works, sign up at [pulumi])
- GitHub account
- Node.js 18+ or Python 3.11+ installed
- Basic familiarity with the terminal
Venue:
AWS Loft SF, 525 Market Street, 2nd Floor, San Francisco, CA 94105
Sponsors:
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