Try for free
AI Builder Lab - Building AI Agents with Pulumi and AWS
Event PAST

AI Builder Lab - Building AI Agents with Pulumi and AWS

29 May Online

Join this event

🎟️ Register / View Event Details

About this event

Register on the AICamp Event Website is REQUIRED for admission.

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.

Join us 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
- 6:15pm~7:30pm: Hands-on workshop building AI Agents
- 7:30pm~8:30pm: Open discussion\, Mixer and Closing.

What You'll Learn:

  • Go from a minimal agent to a multi-tool, multi-agent system on Amazon Bedrock AgentCore
  • Define your AI infrastructure as code, and why it matters for agent workloads
  • Patterns for authentication, secrets, IAM, and observability when running agents in production
  • Structure agent workflows that coordinate tasks, call external tools, execute code, and maintain state over time

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

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support