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Is your operations team consumed by daily firefighting? Do you lack the time to evaluate and improve your operational posture? Move from reactive firefighting to proactive operational improvement with AWS DevOps Agent, a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multicloud, and hybrid environments.

In this video, we'll explore how to use Strands Tools to create custom AI agents with Python. You'll learn how to incorporate built-in tools like file reading, writing, and text-to-speech capabilities into your agent's workflow. We'll also guide you through the process of creating your own custom tools, allowing you to extend your agent's functionality to meet your specific needs.

During her 2025 keynote, Amy Herzog, AWS CISO, shows how AWS is simplifying security at scale. Through customer examples and architectural patterns, she will showcase how AWS enables you to build inherently resilient applications that can withstand modern threats and scale with your business. Learn how to harness AWS security capabilities and security best practices to build a robust security strategy that works for your business.

AWS Lambda durable functions enhances Lambda's programming model to simplify building fault-tolerant applications using familiar programming language patterns in JavaScript, TypeScript, or Python. We'll explore new capabilities that simplify failure handling through built-in retry mechanisms, efficient handling of human-in-the-loop interactions, and state management to track progress.

Model Context Protocol (MCP) provides the foundation for building AI agents and code assistants that connect to your data, infrastructure, and services. Whether developing enterprise customer service AI or code that runs on AWS, MCP brings together intelligence and integration. The session demonstrates how Kiro accelerates building AI agent development with MCP servers, while exploring Amazon Bedrock AgentCore for AWS deployment.

What can AI Agents do for you? Join us live on Twitch.tv on July 8th, 2025 @ 2pm Pacific / 5pm Eastern to learn how to Build AI Agents on Amazon Bedrock! Our host Jay Busch (Sr. Technical Account Manager) will be joined by Abhishek Sharma (Sr. Cloud Support Engineer) to walk you through how to leverage the power of AI Agents to build powerful apps on Amazon Bedrock. Come build with us!

In this session, learn how Kiro is helping you go from idea to production faster with spec-driven development. Learn how to delagate and automate development tasks using Kiro's agent hooks, multimodal agent chat and MCP support. We'll show you how Kiro’s agents challenge you to think beyond the code and work alongside you to solve hard engineering problems with confidence. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Amazon Quick Sight, a capability of Amazon Quick Suite, delivers AI-powered business intelligence that transforms data into strategic insights for everyone, enabling faster decisions and better business outcomes through unified intelligence, actionable analytics, and democratized data access. Quick Sight provides unified intelligence across all enterprise data sources, and bridges the critical "last-mile gap" between insights and action with built-in agents for research and automation.

Amazon Bedrock is a comprehensive, secure, and flexible platform for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs), services to deploy and operate agents, and tools for fine-tuning, safeguarding, and optimizing models along with knowledge bases to connect applications to your latest data so that you have everything you need to quickly move from experimentation to real-world deployment. Learn more about Amazon Bedrock: http://go.

In this episode, you'll learn how to implement AWS's AI-Driven Development Life Cycle (AI-DLC), a structured methodology that integrates AI throughout software development while maintaining human oversight. We'll demonstrate key aspects of the AI-DLC workflow, focusing on the Inception phase where AI-DLC performs workspace detection, requirements analysis, and workflow planning using the Plan-Execute pattern.

AWS Transform is the first service to leverage specialized AI agents to simplify and accelerate modernization of Windows .NET applications, VMware systems, and mainframes, empowering customers to migrate up to 5x faster. At AWS re:Invent 2025, we launched new capabilities that enable rapid modernization of any code or application, so customers can reduce their legacy tech debt and shift valuable resources toward innovation with AWS Transform.

Andy Jassy shares his thoughts on AgentCore – a set of comprehensive, modular, fully-managed set of services that will change how you can deploy agents into production in a secure, scalable, and flexible way. Learn more: News blog: https://go.aws/40t3gJt AgentCore: https://go.aws/4m4EIyy Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.