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As AI agents transform the workplace, organizations must adapt their structures and methodologies to harness new opportunities. The probabilistic nature of AI requires continuous iteration and intelligent oversight, creating new ways of working across business functions. To thrive, organizations must combine clear capability assessment with agile planning while leveraging their unique domain expertise and data assets.

Learn how Kiro Skills let you package your team's workflows into portable instruction packages that the agent follows on demand. In this video, we'll walk through what a skill is — SKILL.md, scripts, references, and assets — how Kiro activates skills automatically or via slash commands, and how progressive disclosure keeps your context lean. Learn more about Agent Skills: https://go.aws/4bmSrNM Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

🕵️ Your AI agent shouldn't need a decision tree to decide how to investigate. The answers to complex questions often don’t live in a single data source. They span across multiple locations, domains, and vary in structure – tabular, connected, and unstructured, just to name a few.

Attention developers! Are you looking to streamline your workflow and boost your productivity? Join us as we dive into the world of Amazon Q Developer CLI Custom Agents. In this practical tutorial, we'll start by introducing you to the fundamentals of Amazon Q Developer CLI and its custom agent capabilities. You'll discover how to define, create, and manage both project (local) and global agents, with a focus on some best practices and examples.

Join us as we explore the cutting-edge Amazon Leo (fka Project Kuiper) internet service, designed to deliver low-latency, high-bandwidth connectivity to customers worldwide. Amazon Leo has harnessed the power of AWS Regions and the global backbone, unlocking unique capabilities to meet the demanding telco and networking requirements of this ambitious project.

Bring existing agents to AWS with Amazon Bedrock AgentCore. Whether you've built custom agents or use frameworks like LangChain, LangGraph, CrewAI, or LlamaIndex, this session shows how to run them on secure, scalable AWS infrastructure without rewriting your logic. Discover how AgentCore's API-based orchestration integrates external agent frameworks and services, centralizing tooling, observability, memory, and security.

Discover how to securely build and deploy remote Model Context Protocol (MCP) servers on AWS that implement the protocol's security and trust principles. This session demonstrates OAuth 2.1 authorization patterns that enforce user consent, data privacy, and tool safety requirements. Learn to implement robust security controls using Amazon Cognito, API Gateway, and Lambda while maintaining protocol compliance.

AWS Summit Washington DC Executive Program | June 10, 2025 Join David Sacks and Dave Levy for a compelling conversation on advancing U.S. leadership in artificial intelligence. This fireside chat will explore how government and industry can collaborate to implement AI strategies that drive innovation, bolster national security, and deliver real-world impact.

Learn how to use Artificial Intelligence for IT Operations (AIOps) to automate and enhance IT operations. Solutions Architect, Biswanath Mukherjee, joins Eric Johnson to show how you can use AI to manage and monitor large-scale systems by automatically detecting, diagnosing, and resolving incidents in real-time.

Unlock AI agent potential with this advanced session on scaling tools using Amazon Bedrock AgentCore Gateway. Learn to build and manage secure, production-ready agent tool environments. We'll cover multi-tenant architecture, deployment strategies, and integration patterns for agentic tools. Explore zero-code MCP tool creation with intelligent tool discovery. Gain insights on security controls, monitoring, and performance optimization for enterprise-scale agent tool ecosystems.

Amazon Cognito introduces AWS Web Application Firewall (AWS WAF) support in Cognito Managed Login. This new capability allows customers to protect their Managed Login endpoints configured in Cognito user pools from unwanted or malicious requests and web-based attacks.

Join AWS experts Amanda Lester and Maira Ladeira Tanke for as Kandyce Bohannon hosts an in-depth AWS She Builds Tech Skills episode on Amazon Bedrock AgentCore. Discover how to deploy production-ready AI agents securely at enterprise scale using any LLM model or framework. Learn practical implementation and best practices for using AgentCore Runtime, Gateway, Memory, and Identity to accelerate deploying and operating AI agents securely and at scale.