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⚡ You know Amazon Aurora. Now make it agentic. You can build an #AI agent in a notebook in 20 minutes. Getting it to production is what many teams find challenging. The gap isn't the AI—it's the architecture around it. Join us as we: 🔹 Show how agents coordinate, recover from failures & connect to your actual data 🔹 Take a legacy app running on Aurora & make it #agenticAI from start to finish with Amazon Bedrock AgentCore 🔹 Walk through exactly what changes when you go from demo to...

Discover how Amazon measures and improves developer experience at enterprise scale in this interview with Jim Haughwout, VP of Software Builder Experience at Amazon. Drawing from Amazon's retail business expertise, Jim reveals how the "cost to serve" metric transforms developer productivity measurement by focusing on system-level efficiency rather than individual performance.

AWS AI | A Whole Different Game The NFL processes millions of data points every game — and AWS AI handles all of it in real time. Next Gen Stats tracks every player on every snap, delivering metrics like Completion Probability that change how fans experience the action. Digital Athlete builds AI-powered simulations of players, helping teams make smarter decisions about player health and recovery. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

Every agent has a shelf life, and the moment you ship it, it starts falling behind. Ask something outside its toolset and it either says "I can't" or hand-waves an answer with no real computation. I built an agent that closes the gap on its own: it writes a new tool, tests it, loads it, and uses it live in the same conversation. Meta tooling: an agent that creates its own tools at runtime when it hits a task it can't handle, then uses those tools immediately without restarting.

You can now run a standard Node.js web server on AWS Lambda with Lambda Web Functions, a new type of Lambda function reimagined for web workloads. You get a public HTTPS endpoint with no adapter layer and no servers or load balancers to manage. Node.js frameworks such as Express, Fastify, and Hono run without changes. Each execution environment handles many requests at once, and you can deploy to multiple Regions behind a single URL for lower latency.

See how Amazon Bio Discovery simplifies the entire antibody discovery workflow in this complete product walkthrough. Amazon Bio Discovery is a unified lab-in-the-loop application that puts AI-powered antibody design directly in the hands of bench scientists—no coding required.

We've all experienced it—that moment when an AI assistant creates more problems than it solves because of its robotic responses and lack of contextual awareness. It operates in a vacuum, making customer experiences less than delightful. In this session, you will learn how to create meaningful and hyper-personalized customer experiences with Amazon Nova Sonic and design patterns to enable new use cases.

AI can generate a Kubernetes manifest, a Terraform module, a Lambda function, and CI/CD pipelines. So what should junior cloud engineers actually focus on? Coding alone isn't the differentiator anymore. The best juniors understand fundamentals (security, reliability, cost, performance, maintainability) and use AI agents to move faster while reviewing the output against those fundamentals. Thats why it's more important than ever to know what to build and why it's built that way.

As AI agents take on complex real-world tasks, ensuring they act safely and responsibly is critical. In this session, learn how Amazon Bedrock AgentCore helps you build trustworthy agents through fine-grained policy enforcement, identity-aware authorization, and runtime isolation. See how these capabilities work together to prevent unauthorized actions, protect sensitive data, and secure agent-to-tool interactions—all with millisecond-latency policy controls and built-in observability.

Learn how you can remotely connect from Kiro IDE to Amazon Sagemker Unified Studio using spec-driven development and conversational coding. Learn more about Amazon SageMaker: https://go.aws/477MYZU Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.

Learn how to improve API responsiveness and user experience with Amazon API Gateway's new response streaming capability. Giedrius Praspaliauskas, Srijan Bhattacharya, and Anton Aleksandrov join Julian Wood to show how API Gateway response streaming transforms REST API performance. Discover how to reduce time-to-first-byte latency for AI-powered applications, stream LLM responses in real-time for chatbots and agents, and handle large payloads.

Agents in Amazon Quick just leveled up. While you’re focused on other tasks, they're flagging stalled deals, drafting follow-ups, and updating your CRM.  Reclaim hours every week and focus on the work that actually matters with Amazon Quick. Give them guidelines, and they run autonomously. So you put your energy towards strategic work, not repetitive tasks. No coding required. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.