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Ready to transform your crazy ideas into real prototypes? 💡 Here's your hackathon survival guide: ✅ Define the problem first ✅ Build for impact, not perfection ✅ Plan your work strategically ✅ Use AI powered tools to prototype ✅ Tell a compelling story #BuildOnAWS #Developers #Students #Hackathon #Cloud

In this video you'll learn how the new serverless model customization capability in Amazon SageMaker AI empowers you to simplify the end-to-end model customization workflow and accelerate the process. Learn more about Amazon SageMaker AI model customization: https://go.aws/ai-model-customization 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.

Run VMware Cloud Foundation (VCF) directly in your Amazon VPC with Amazon Elastic VMware Service (Amazon EVS). Keep your existing VMware skills and software while leveraging AWS scale, agility, and elasticity, no replatforming or refactoring required. Whether you choose to self-manage or work with AWS partners for a managed experience, Amazon EVS seamlessly extends and expands your VMware environment to the cloud. Learn more about Amazon Elastic VMware Service (Amazon EVS): https://go.

In this session, we will introduce AWS Analytics Model Context Protocol (MCP) Servers, including the Data Processing MCP Server and Amazon Redshift MCP Server, which enable agentic workflows across AWS Glue, Amazon EMR, Amazon Athena, and Amazon Redshift. You will learn how these open-source tools simplify complex analytics operations through natural language interactions with AI agents.

Your AI agent can write poetry and pass the bar exam. Ask it about your own company? It has no idea. Knowledge graphs are the fix—but who has time to learn graph queries and graph theory? In this session, we'll build a knowledge graph from raw documents, automatically, and connect it to an agent that finally understands YOUR business. No graph expertise required. Watch us build it end-to-end. Watch the first episode (VectorDB vs GraphDB for Gen AI Agents): https://www.youtube.com/watch?

Discover how cutting-edge AI technologies are revolutionizing incident management and dramatically reducing Mean Time to Resolution (MTTR). This session explores how generative AI is transforming operational practices by automatically analyzing telemetry data, identifying patterns, surfacing actionable insights and leveraging AI agents. Learn how modern AI capabilities can convert hours of manual troubleshooting across multiple systems into streamlined investigations resolved in minutes.

With an innovative architecture that decouples compute from storage and advanced features like Amazon Aurora Global Database and low-latency read replicas, Aurora reimagines what it means to be a relational database. Aurora is a built-for-the-cloud, serverless relational database service that delivers unparalleled performance and availability at global scale for MySQL, PostgreSQL, and DSQL.

Teams are building more AI agents, tools, skills, and MCP servers than ever — but without a central catalog, these capabilities stay siloed and get rebuilt from scratch. In this session, we deep-dive into AWS Agent Registry in Amazon Bedrock AgentCore (now in preview) and demo how to register and discover agents, tools, skills, MCP servers, and custom resources across your organization.

Join us for an exciting deep dive into cutting-edge AI solutions for financial services and insurance Partners using AWS technologies! Discover how to harness Amazon Bedrock AgentCore and Strands SDK to enhance customer experiences. Learn to build intelligent underwriting assistant for insurance and explore diverse use cases in Financial Services. Recommended for teams looking to strengthen their AI capabilities in financial services. Learn more: More AWS events: https://go.

Learn how to install the Documentation and Knowledge MCP servers for Amazon Q CLI. Learn more about the Documentation and Knowledge MCP servers here - http://go.aws/46qI9d1 If your unsure how to setup Amazon Q CLI for the first time watch this - https://www.youtube.com/results?search_query=getting+started+Q+CLI Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

Amazon S3 operates at massive scale, serving hundreds of millions of transactions per second across more than 100 data centers and tens of millions of drives. In this session, we'll explore how S3 achieves 99.99% availability and strong read-after-write consistency while gracefully handling constant failures at every level—from bits to buildings.

Discover how to launch isolated, stateful execution environments that start near-instantly, suspend when idle, and resume with full memory and disk state intact. Ayush Kulkarni and Ricardo Marques join Julian Wood and Eric Johnson to deep dive into Lambda MicroVMs, the new serverless compute primitive powered by Firecracker. See how to give each user or AI agent their own VM-isolated sandbox without managing infrastructure.