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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.

Move over console and IaC -- there's a new kid on the block. Github repo - https://github.com/awslabs/mcp Sign up for my Newsletter to receive regular AWS updates AND get a FREE PDF that includes 5 AWS Project Ideas: https://beabetterdev.com/aws-project-ideas-pdf/ 📚 My Courses 📚 AWS Learning Accelerator - Learn AWS Through a Hands On Project - https://courses.beabetterdev.com/courses/aws-learning-accelerator AWS Step Functions Masterclass - https://courses.beabetterdev.

Watch Ben Gilbert and David Rosenthal, co-hosts of Acquired—the #1 technology show on Spotify and Apple Podcasts—take the stage with special guests including Max Neukirchen, Global Co-Head, J.P. Morgan Payments, Greg Peters, Co-CEO, Netflix, Aravind Srinivas, Co-founder and CEO, Perplexity, and Matt Garman, AWS CEO.

Experience the cutting edge of agentic AI as Claude 4’s breakthrough interleaved thinking and hybrid model deliver near-instant responses and deep, extended reasoning. This live demo will showcase how Claude 4 seamlessly integrates with AWS’s Strand Agents framework, enabling the rapid development of sophisticated, production-ready AI agents with just a few lines of code.

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.

No manual setup. No node management. No wasted time. 🤯 Deploy your app in minutes with Amazon EKS Auto Mode.

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.

In Formula 1, victories depend on turning millions of data points into winning decisions. Organizations can apply this same precision to unlock value from underutilized data assets. Drawing from F1's model, we present a three-part framework for data excellence: customer-focused decisions, dynamic people- powered strategies, and market-responsive structures. Learn practical approaches to evolve your data strategy into a business advantage in the AI era. Learn more: More AWS events: https://go.

Join AWS executives Tony Chor (VP, Builderworks) and Becky Weiss (VP, Distinguished Engineer) as they discuss implementing generative AI in enterprise software development. This conversation reveals how organizations are finding unexpected value in AI-powered "outer loop" tasks like documentation and ticket management, rather than just code generation.

Running Java AI Agents on the cloud has never been easier than with Amazon Bedrock AgentCore Runtime! Check out this quick demo of deploying a Spring AI agent to the container-based, serverless, agent runtime!

AI is dramatically accelerating technological evolution, with new architectural primitives emerging monthly. This unprecedented pace transforms the Solutions Architect (SA) role from system designer to change navigator. Learn how SAs deliver value by enabling and de-risking rapid transformation while maintaining architectural stability. Discover strategies for developing new capabilities while preserving foundational expertise.

Balkan breakfast meets AI wisdom! Learn essential LLM best practices: prompt engineering, output validation, and smart model selection. Build better AI apps with Amazon Bedrock! #AmazonBedrock #generativeAI #CloudComputing #MachineLearning #Shorts