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Walk through how to take your AI agent from a simple demo to a production-ready system. Learn essential architectural patterns and avoid common pitfalls in deploying agents at scale. Whether you're a data scientist, developer, or solutions architect, this video will equip you with the knowledge to design and deploy AI agents that can handle real-world demands.

Payam Mirrashidi, VP, Cloud Systems & Platforms, Apple, explains how AWS Graviton helps improve developer velocity at scale. Hear Swift’s journey from the premier programming language for the Apple ecosystem to adoption by millions of developers around the world building apps for everything from devices to data centers. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Amazon Quick Suite is an AI-native digital workplace that empowers every business user with AI agents that streamline complex tasks, helping make better decisions, faster, and act on them swiftly. By seamlessly integrating user and enterprise data sources with comprehensive research capabilities, data- driven business insights, and powerful agentic automation tools into a single experience, Quick Suite helps users work smarter and faster – all while maintaining security and user access...

Most system design tutorials start with the technology. That's backwards. The problem comes first, the tech stack is a consequence. This is a URL shortener designed the way an actual interviewer expects you to approach it. In this video I cover a classic system design interview question broken down with a 7-step framework that works on basically any system design problem. Requirements → traffic estimation → high-level components → API contracts → tech stack → implementation constraints.

Traditional AI coding assistants often struggle with complex project requirements. This talk introduces Kiro, an AI IDE that implements spec-driven development to address these challenges. Kiro guides users through a comprehensive process from requirements gathering through design and task implementation, all before generating code.

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AWS DevOps Agent (preview) is a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance. AWS DevOps Agent investigates incidents and identifies operational improvements as an experienced DevOps engineer would: by learning your resources and their relationships; working with your observability tools, runbooks, code repositories, and CI/CD pipelines; and correlating telemetry, code, and deployment data across all of them to understand...

In a landscape of rapid AI evolution and daily headlines, senior leaders need clarity on what Agentic AI means for their business. This session cuts through the noise to provide a practical understanding of autonomous AI agents and their strategic implications for your organization. We will demystify Agentic AI and focus on what matters most to leaders. We will share how both management and architecture models will need to evolve to get value out of the autonomous AI systems.

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Join us for an enlightening conversation with Anton Alexander, AWS's Senior Specialist for Worldwide Foundation Models, as we delve into the complexities of training and scaling large foundation models. Anton brings his unique expertise from working with the world's top model builders, along with his fascinating journey from Trinidad and Tobago to becoming a leading AI infrastructure expert.

In this video, Mike shows you how to take any AI agent and deploy it securely at enterprise scale using Amazon Bedrock AgentCore. So if you're using CrewAI, LangChain, Strands, or your framework of choice, there's no infrastructure headaches - just production-grade agents that scale. What we'll cover: ✅ Deploying to AgentCore Runtime ✅ Adding managed memory ✅ Integrating secure code execution ✅ Monitoring your agent in production 🚀 Get started with the code: • https://builder.aws.

Learn how to build real AI applications using Amazon Bedrock from scratch! This tutorial covers everything from basic API calls to advanced AI agents with RAG, tool use, and guardrails. Perfect for developers moving from AI user to AI builder. Github Repo: https://go.aws/4tKvhbr Follow AWS Developers! 🆇 X: https://go.aws/4tKvhIt 💼 LinkedIn: https://go.aws/4tKvjjz 0:00 Introduction to Amazon Bedrock 1:01 What is Amazon Bedrock?