Building and securing OpenClaw on AWS

Build AI Agents That Actually Work with OpenClaw on AWS

The AI race is shifting from chatbots to autonomous agents. Agents that can reason, plan, use tools, remember context, execute workflows, and operate like intelligent systems — not just respond to prompts. And now, two Amazonians and one Ex-Amazonian are coming to your city to show exactly how these systems are built in the real world.

Join us for a high-impact AWS Community Meetup focused on Autonomous AI Systems, Amazon Bedrock,OpenClaw, & production-ready AI engineering on AWS. This is not another theory-heavy AI event. This is for builders.Whether you're a developer, architect, startup founder, student, or cloud enthusiast, you’ll walk away with practical understanding of how modern AI agents are designed, orchestrated, secured, and scaled.

Why You Should Attend
- Understand how AI agents actually work under the hood
- Learn how Amazon Bedrock powers real GenAI workflows
- Explore OpenClaw agent architecture and autonomous execution
- Learn memory, planning loops, orchestration, and tool calling
- Discover production-grade security and scaling patterns on AWS
- Network with AWS experts, builders, and AI practitioners
- Get insights beyond YouTube demos and hype cycles
Featured Sessions
From Amazon Bedrock to Agents: Building Real GenAI Systems on AWS
Speaker: Shashank Chinchli, Ex-AWS
Learn how developers are moving from foundation models to real-world AI agent systems using Amazon Bedrock and AWS-native architectures.
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Building Autonomous AI Systems with OpenClaw: From Concept to Working Agent
Speaker: Udit Parikh, Sr. Cloud Support Engineer, AWS
See how OpenClaw enables autonomous execution using planning, memory, orchestration, and tools through practical architecture walkthroughs and live demonstrations.
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Productionizing and Securing AI Agents on AWS: From Prototype to Enterprise Scale
Speaker: Rishabh Gupta, Solutions Architect, AWS
Learn how enterprise-ready AI agents are securely deployed, governed, monitored, and scaled in production environments on AWS.
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Build with the community. Learn from practitioners. Go beyond AI demos.