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AI agents offer powerful capabilities and require thoughtful design to help manage risks. This session explores responsible agentic AI implementation with appropriate controls and governance. Understand some of the scientific frontiers that inform design considerations, including the language of AI agents, context management, agent interactions, and common sense reasoning.

From startups to global enterprises, AWS Databases has been the trusted foundation powering innovative applications for nearly two decades. Join G2 Krishnamoorthy, Vice President of AWS Database Services, as he presents our mission to transform how you manage your data. Discover our vision where database management becomes effortless, delivering robust performance, seamless scale, and comprehensive security.

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Learn how an AWS Serverless Hero ships with Claude every day and what actually moves the needle. Ran Isenberg joins Julian Wood to share the setup, configurations, and mindset that help him deliver real projects with Claude Code. Discover why the engineering job has fundamentally changed and why judgment, not typing speed, is now the core skill. Learn how to expand Claude with community and custom skills, and why the person holding the tool matters more than the tool itself.

Legacy monolithic codebases trap organizations in technical debt and slow innovation. Generative AI tools, including Amazon Q and AWS Transform, accelerate modernization through automated dependency analysis, code refactoring, and microservices migration. Practical patterns enable business continuity while transforming monoliths into scalable cloud-native services.

As AI agents transform enterprise software, securing them with robust identity and access management is critical. Traditional models of authentication and authorization often fail when agents act across multiple systems and data sources. Drawing on WorkOS’s experience with SaaS and AI companies, this session explores risks of unchecked agent behavior, compliance challenges, and the need for first-class agent identities.

Learn to build enterprise-scale AI systems using the new Agentic AI Factory framework, a comprehensive toolkit with pre-built agent blueprints and proven integration patterns. This deep-dive session demonstrates how to orchestrate multiple AI agents with AWS Strands Agents and Amazon Bedrock, implement secure communications via A2A and MCP protocols, and leverage the framework's knowledge management systems.

AI at scale isn’t theoretical—it’s running in production today, serving millions of citizens and customers across the UK. In this session, hear how two organizations—Capita and the UK Department for Science, Innovation & Technology—deployed AI solutions on AWS that are transforming services at national scale.

You've seen the potential of agentic AI through proof-of-concepts, and you're ready to build a foundation that can support all AI applications across your organization. Enter the complexities: model access and management, tool discovery, memory and state handling, observability, plus deployment and operations at scale!

Microcredentials validate your hands-on cloud computing skills through real-time assessment in a provisioned AWS environment. Microcredentials complement AWS Certifications by demonstrating your practical implementation abilities. Pass these practical assessments in areas like Serverless or Agentic AI, and you'll have official AWS credentials that tell employers exactly what you can build. Learn more about Microcredentials: https://go.aws/3P0gmL5 Subscribe to AWS: https://go.

Dive into AWS networking foundations, starting with the fundamentals of Amazon VPC in a single Region. Learn essential skills for IPv4 and IPv6 selection, subnetting, routing, DNS, and security before scaling to global, multi-Region architectures. In this session, explore various VPC connectivity methods, hybrid network integration, and secure traffic management techniques.

Join us as we explore how to build a FinOps agent that automates cloud cost optimization and brings observability practices into your financial operations. We'll walk through the practical steps of creating an AI-powered agent that monitors your AWS spending, identifies optimization opportunities, and provides actionable recommendations to reduce costs while maintaining performance.