Silicon Valley GenAI LLMs Developers

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

Important: register on the external event website is required for admission.

Description:
Welcome to the AI meetup in Silicon Valley. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:10pm: Welcome, Community update
- 6:10pm~8:00pm: Tech talks and Q&A
- 8:00pm~8:30pm: Open discussion, Mixer and Closing.

Speakers/Topics:
If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco Bay Area and 500K+ worldwide.

Important: register on the external event website is required for admission.

In this Silicon Valley edition, Nu’s AI Core team, the centralized AI research and engineering organization, will pull back the curtain on how machine learning systems are operationalized at scale. The speakers will bypass surface-level concepts to dive deep into real production code, infrastructure trade-offs, and architectural constraints. Designed to be intimate and conversational, the evening prioritizes deep technical dialogue, peer connection, and high-density networking.

The session will cover:

• The infrastructure, data engineering, backend orchestration, and intelligence layer behind production-grade systems;
• Spanning predictive models trained on proprietary financial data;
• Autonomous agentic tool-calling pipelines;
• Custom simulation environments used for offline policy evaluation.

Who should attend:
This event is curated for ML Engineers, Senior Software Engineers, Tech Leads, and Systems Architects with a minimum of 5+ years of hands-on experience in core ML systems, large-scale backend, or distributed infrastructure. The session is specifically tailored for practitioners focused on model optimization, training efficiency, high-throughput cloud architecture, and the data pipelines required to deploy and orchestrate predictive and generative frameworks at scale. This space is designed for seasoned builders looking for deep architectural discussions on AI systems and peer-to-peer networking rather than surface-level product pitches.

Agenda:

• 5:00 PM – Welcome Reception & Networking (Food and soft drinks served)
• 5:30 PM – Opening Remarks/Intro
• 5:40 PM – Tech Talk 1, by Aman Gupta (AI Core, Nu)
• 6:10 PM – Tech Talk 2: Effective quantization of Muon optimizer states, by Shao Tang (AI Core, Nu)
• 6:40 PM – Panel Discussion + Audience Q&A
• 7:30 PM – Happy Hour & Open Mixer (Beer, wine, and refreshments)
• 8:30 PM – Event Conclusion