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In this episode of “AWS Show and Tell”, learn how to empower your AI agents to browse the web using the AgentCore Browser Tool and equip your agents with powerful analytical and problem-solving capabilities using the AgentCore Code Interpreter on Amazon Bedrock. You will see how to build agents that can automate complex web-based tasks like data extraction, workflow automation, form submission, QA testing and product research, all with a fully managed, secure browser environment.

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.

Intelligent agents with memory capabilities can deliver smarter, more personalized interactions—but implementing memory in production is no easy task. In this session, we’ll cover how to build context-aware agents using Amazon Bedrock AgentCore Memory. Learn to manage short-term and long-term memory securely, structure agent interactions around user history, and scale memory. Hear from Experian on how they are reimagining conversational memory architecture across their AI ecosystem.

Amazon Leo’s (fka Project Kuiper) Low Earth Orbit (LEO) satellite constellation transforms how organizations architect global connectivity solutions. Explore how Leo’s advanced network—featuring antennas, space lasers, ground gateways, and intelligent routing—integrates with AWS services for robust, low-latency solutions. Learn architectural patterns for enhancing application resilience, implementing secure remote data transfer, and optimizing edge computing performance.

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.

Twitch stream from aws

William Brennan shares how Blue Origin uses Agentic AI to accelerate space exploration and rocket development by democratizing AI adoption company-wide to reach their goal of enabling multiple rocket launches with one person. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Web developers avoid infinite loops - game devs NEED them! 🔄 Every second processes massive code, art, and logic in real-time.

The time has come. If you're an AI skeptic, you need to change your tune — and quickly. AI tools are 10x better than where they were just a year ago, and if you're not embracing them today, you're falling behind. 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.

AgentCore Observability helps you trace, debug, and monitor agent performance in production environments. It offers detailed visualizations of each step in the agent workflow, enabling you to inspect an agent's execution path, audit intermediate outputs, and debug performance bottlenecks and failures.

Amazon EKS has launched new managed Kubernetes capabilities for workload orchestration and resource management, to help you build and scale with Kubernetes on AWS. Kubernetes is a powerful standard for scheduling workloads, but supporting multiple environments, managing fleets of clusters, and maintaining configuration at scale all present challenges and friction. This typically results in installing and managing open source components yourself.