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Learn how to build a complete video moderation system using AWS Lambda Durable Functions in just 40 minutes! In this hands-on tutorial, we'll walk you through building a production-ready video content moderation service using AWS Lambda Durable Functions.

AWS Transform custom accelerates organization-wide modernization through agentic AI that automates custom code transformations. It provides out-of-the-box transformations for common scenarios like Java, Node.js and Python upgrades. The agent also performs custom, organization-specific transformations like version upgrades, runtime migrations, or complex language translations and architectural changes.

Learn how AWS networking services are transforming AI/ML application performance. This session demonstrates approaches using AWS Network Load Balancer for ultra-low latency search and real-time AI/ML inference, plus Amazon API Gateway optimizations for low-concurrency LLM workloads. Through real-world case studies and production deployments, you'll discover practical techniques for minimizing network latency in AI/ML pipelines and architecture patterns for high-performance inference serving.

Join us for a comprehensive session on PostgreSQL performance tuning and optimization. In this technical deep dive, we'll explore proven strategies for identifying performance bottlenecks, optimizing query execution, and configuring PostgreSQL for maximum efficiency.

AWS delivers new data center network design that replaces traditional hierarchical "fat tree" networks with a flat network architecture based on random graph theory. The new network design delivers 33% better throughput, 27% lower costs, and 69% fewer routers while reducing the use of power by networking equipment over 40%. Learn more about Future of Cloud Computing: https://go.aws/innovation Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

Learn Infrastructure as Code (IaC) by building a real project: a serverless REST API on AWS using the Cloud Development Kit (CDK) with Python. We'll start by manually clicking through the AWS console to set up DynamoDB, Lambda, and API Gateway (yes, there's a click counter) so you can feel the pain. Then we rebuild the entire thing using AWS CDK, deploy it with one command, test it live, and tear it all down when we're done. AWS blog post with code: https://go.

This session unveils Auth0 for AI Agents—a powerful solution enabling humans and non-human identities (NHI) to operate securely across AWS applications such as Bedrock and Quick Suite. Discover how Okta and Auth0 combine to empower agents with granular access controls and better user experiences.

Your boss wants a mobile app, but all the logic lives glued inside the website. Duplicate everything? That's a maintenance nightmare that only gets worse. Split it into an API and both the website and the app become clients of the same backend. I walk through why, then build the API endpoint live. APIs explained from concept to working endpoint.

AWS Unified Operations is designed for mission-critical workloads, offering a global team of designated experts who deliver architecture reviews, guided testing, proactive optimization, and five-minute context-specific response times for critical incidents. The top-tier support plan that ensures maximum reliability and performance. Learn more about AWS Unified Operations: https://go.aws/unified-operations Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

Chapter 3 of the Building AI Agent Harnesses with Strands Agents course. This chapter covers MCP and how it changes the way you think about equipping your agent with capabilities. MCP is a standard protocol that lets your agent connect to external tool servers the same way every time. Instead of writing a custom wrapper for each API, database, or service you want your agent to access, you point it at an MCP server and the tools become available automatically.

n this episode of "AWS Show and Tell - GenAI for Financial Advisors: Portfolio Analysis & Client Experience Tools," we explore the art of the possible for integrating Generative AI capabilities into enterprise financial services platforms. Built on a foundation of reusable MCP tools, optimized agentic microservices, and modernized data architectures, this session demonstrates how AWS enables financial advisors to deliver smarter, faster, and more personalized client experiences.

Discover how to automate any business process using Amazon Quick Flows and Amazon Quick Automate, empowering every user in your organization to safely leverage agentic AI. Learn from real-world success stories as companies like 3M, Kitsa, dLocal, and Propulse Labs use Amazon Quick Suite to save time and money while improving customer outcomes.