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Modernizing legacy apps? It doesn't have to be a "big bang". Discover how to use Amazon VPC Lattice and AWS services to drive a smooth, step-by-step migration. Learn proven patterns for breaking down monoliths into microservices without disrupting your business. Through real-world examples, we will explore secure communication, multi-account setups. We will show how IP overlap is easily handled, and may even be an asset for Amazon EKS cluster upgrades. Learn more: More AWS events: https://go.

How to go from a simple prompt to a working serverless app in minutes? Brian Zambrano joins Darko Mesaroš to walk through how to build a serverless application from prompts using Kiro and MCP servers. See how to combine AI-assisted development with AWS serverless services to create dynamic, scalable apps. Learn practical techniques for turning natural language into production-ready infrastructure and discover how MCP servers connect your AI tools directly to AWS.

Vibe coding with AI to write functions & fix bugs? Table stakes. Building an agent that architects, implements, tests, and deploys a full application to AWS? That's fundamentally different. This session explores design patterns that enable Claude on AWS Bedrock to achieve "escape velocity"—the ability to make sustained, autonomous progress toward production deployment. You'll learn Anthropic's core principles for building agents that can handle full-stack development tasks independently.

This technical session will demonstrates how AWS's GenAI Intelligent Document Processing (GenAIIDP) solution revolutionizes healthcare document processing. The solution combines Amazon Textract and Bedrock to automatically process complex medical documents, transforming days-long manual processes into minutes. It features automated classification, data extraction, and criteria validation while maintaining HIPAA compliance.

Chapter 10 of the Building AI Agent Harnesses with Strands Agents course. This is where we cross from single-agent patterns into multi-agent orchestration, and we start with the most intuitive version: an agent that can call other agents the same way it calls any other tool. The parent agent reasons about the task, decides it needs a specialist, and invokes a child agent as a tool call.

Learn how Amazon Bedrock AgentCore Identity enables AI agents to securely access user data from external services using OAuth Authorization Code Flow—with explicit user consent and without exposing credentials. In this deep dive, we'll first show you what developers need to do (just 3 simple steps), then go behind the scenes to see what AgentCore does automatically to orchestrate user consent, handle the two-hop redirect pattern, manage token exchange, and verify user identity throughout the...

Looking to make your .NET development faster and easier? Join this live coding session to see how AWS Transform for .NET and Kiro can make your daily coding much smoother! We'll take you through the whole process - starting with a legacy .NET Framework application and porting it into modern .NET using AWS Transform. Then, we'll use Kiro to refactor your codebase leveraging vibe coding and spec driven development. You'll see the entire end-to-end process of modernizing .

Learn how Amazon Bedrock AgentCore Identity secures your deployed AI agents using OAuth 2.0 authorization—ensuring only trusted callers can invoke your agent. In this deep dive, we'll first show you what developers need to do (configure authorization and deploy), then go behind the scenes to see what AgentCore does automatically to validate JWT tokens, verify caller identity, and enforce authorization policies throughout the complete inbound request flow. Amazon Bedrock AgentCore: https://go.

Physical AI systems need massive, diverse datasets—but collecting real-world data is costly and time-consuming. Discover how NVIDIA Cosmos World Foundation Models (WFMs) on AWS generate photorealistic synthetic data at scale to accelerate robotics and autonomous systems development. In this session, learn how to deploy Cosmos Reason, Transfer, and Predict models on AWS Batch, Amazon EKS, and EC2 to create comprehensive training datasets.

Run VMware Cloud Foundation (VCF) directly in your Amazon VPC with Amazon Elastic VMware Service (Amazon EVS). Keep your existing VMware skills and software while leveraging AWS scale, agility, and elasticity, no replatforming or refactoring required. Whether you choose to self-manage or work with AWS partners for a managed experience, Amazon EVS seamlessly extends and expands your VMware environment to the cloud.

Learn how to build, test, and validate custom code transformation with agentic AI. Through practical examples, we'll cover defining effective transformation rules, testing strategies to refine your agents, and validation methods to ensure reliable code conversion. This session will help architects and developers create robust transformation agents for their application modernization projects.

Join AWS engineers, solution architects and product leaders in this technical hands-on showcase, as they highlight the capabilities of Amazon Bedrock AgentCore and Amazon Q Business. With $45,000 in prizes, access to AWS experts, and a path to market through AWS Marketplace, builders at every level - from students to enterprises - can leverage the same AI capabilities powering industry-leading software products.