AWS AI Builder Lab (SF) - Craft with AI, Build for AI


Feb 13, 08:00 AM PST. Add to calendar: Google | Outlook
  • Mission Bay Conference Center, 1675 Owens St, San Francisco AWS
  • 200 RSVPs
Description
Speaker

Build. Compete. Win. The AWS AI Builder Lab is where developers master production-grade multi-agent AI systems in one intensive day. Limited to 250 qualified developers.

In collaboration with LlamaIndex, Arize, Coder, Nirmata, LaunchDarkly, Pulumi, Lyzr and Anthropic, this immersive lab is designed to transform how developers architect and deploy agentic AI applications. We're moving beyond basic chatbots into the world of sophisticated, multi-agent AI systems.

This is not a lecture or networking event—it's an interactive, hands-on experience crafted for developers, engineers, builders, and tech leads looking to integrate AI into real workflows. You'll coordinate intelligent systems to tackle dynamic, real-world challenges in a gamified environment with prizes for top performers.

Competition Format:
Compete in real-time as you build and deploy multi-agent AI systems. Earn points across partner-specific challenges, climb the live leaderboard, and demonstrate your AI engineering skills. Individual scoring with prizes for overall winners and category champions.

Competition Prizes:
🏆 Grand Prize and Top Finishers: Exclusive AWS AI Builder Lab swag bundle
🎮 Partner Challenge Winners: Premium developer tools and exclusive swag
👕 All Participants: Free trial access to enterprise AI tools and swag

What You’ll Experience:

  • Deep-Dive Tech Talks: Foundational insights into building robust and secure agentic workflows
  • Instructor-Led Workshops: Guided, hands-on sessions where you build alongside experts using modern AI SDLC tools
  • The Interactive Lab: A gamified experience where you coordinate AI systems in real-time with measurable outcomes and live scoreboards

What You'll Learn:

  • Design, implement, and orchestrate powerful multi-agent workflows
  • Utilize SDLC agentic tools to build, deploy, secure, and operate agentic workflows—from idea to production
  • Master Amazon Bedrock and Amazon Bedrock Agents for production AI workloads, integrated with partner AI solutions

Why You Should Attend:
✓ Hands-on experience with cutting-edge AI development platforms
✓ Production-ready patterns you can implement immediately
✓ Networking opportunities with peers and AWS Solutions Architects
✓ Gamified learning with competition and prizes
✓ Free trial access to enterprise AI tools via AWS Marketplace
✓ Expert guidance from AWS and Partner Solutions Architects
✓ Certificate of completion
✓ Discord community access for ongoing learning

Agenda


8:00AM - 9:00AM
Check-In, Breakfast and Networking
9:00AM - 9:45AM
Opening Keynote: AI-Enhanced DevOps Patterns for the Enterprise
Speaker: Brad Johnson (AWS)
9:45AM - 12:00PM
Hands on Lab Session:
  • Fundamentals of AI agents and best practices (20 mins)
  • AI SDLC featuring Pulumi, Nirmata, Coder, Arize AI and LaunchDarkly as implementation options for different tasks (15 mins)
  • Access of environment, Knowledge bases and RAG provisioning (15 mins)
  • Agents and specialized agents (with LangChain and LlamaIndex) (70 mins)
12:00PM - 1:00PM
Lunch & Vendor Booth Mingle
1:00PM - 3:00PM
Hands on Lab Session:
  • A2A best practices and use cases (10 mins)
  • Security of AI (15 mins) (Bedrock guardrails, Bedrock AgentCore Policy, maybe Nirmata as control point for both)
  • Hands-on: Guardrails, A2A implementation (60 mins)
3:00PM - 3:30PM
Break, afternoon snacks and refreshments
3:30PM - 4:15PM
Tech talk: Future of agentic SDLC and agentic workflows
Speaker: James Bland (AWS)
4:15PM - 5:00PM
Awards and Closing Remarks
Speaker: Leah Yourstone (AWS) and Marina Novikova (AWS)

Speakers:

* More to be announced soon.

Lab Support Team:
To be announced soon.

Featured Partners:
Coder | Nirmata | Pulumi | Launch Darkly | Llamaindex | Arize | Lyzr | Anthropic

Who Should Attend:
* Developers with 3+ years experience looking to integrate AI into workflows
* Technical leads driving AI adoption initiatives
* DevOps engineers building AI pipelines
* Platform engineers designing scalable AI infrastructure

Requirements:
* Familiarity with AWS
* GitHub account
* Personal laptop. AWS account will be provided; no local setup required

FAQ:

Do I need prior AI/ML experience?

No, but 3+ years dev experience recommended

Will I need to install anything?

No, web-based access provided

Can I attend remotely?

No, this is an in-person hands-on lab

What if I can't stay the full day?

Full attendance highly recommended for competition but you can join for half-day to learn and practice.

Approval Required. Your registration is subject to approval.

Contact Organizer