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Transform your existing AWS Lambda functions into powerful AI agent tools without writing a single line of new code! Join AWS Sr. Technical Account Manager Arun Nagpal and ML/GenAI expert Abdul Qadir as they demonstrate how Amazon Bedrock AgentCore Gateway revolutionizes enterprise AI adoption.

Amazon EKS Auto Mode fully automates Kubernetes cluster management for compute, storage, and networking on AWS. In this session, discover how EKS Auto Mode reduces operational complexity through automatically provisioned infrastructure, managed core add-ons, streamlined upgrades, and seamless integration with AWS services. EKS Auto Mode continuously selects optimal EC2 instance types, dynamically scales resources, and optimizes costs to efficiently utilize compute.

Join this session to discover how Canada Life transformed its contact center by moving from a fragmented, manual system to a cloud-based, AI-powered solution using Amazon Connect. This shift enabled seamless multi-channel engagement enabling customer interaction through their preferred channel, simplified authentication, and empowered agents with real-time tools and unified interfaces—resulting in streamlined operations, reduced complexity, faster resolutions and thus reduced operational costs...

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.

Join AWS She Builds Tech Skills host Brittany Wolfrom and guest expert Neelam Koshiya will take viewers on a comprehensive journey from AI experimentation to enterprise-grade deployment. As AI agents become critical business assets, learn the proven strategies and AWS services that transform fragile prototypes into robust, scalable production systems that can handle real-world demands.

One moment you're experimenting with AI agents on AWS, and suddenly you're $2000 in the hole with your CEO asking questions. Whether you're building chatbots, shopping assistants, or multi-agent workflows, understanding your costs before deployment is critical. In this video, you'll see techniques for estimating and monitoring costs for AI agents built with Amazon Bedrock AgentCore. Learn how to use native AWS tools to understand what you're actually paying for—beyond just input/output tokens.

Need faster response times? 🚀 Learn how to set up Valkey clusters on Amazon MemoryDB and connect with Python's Redis client for ultra-fast in-memory data storage and retrieval. #AWS #Python #Database #CloudComputing #Developers

Existing SaaS providers must determine how and where agents best fit into their offerings. Getting there requires organizations to transform existing IP and functionality into agent-powered experiences. This breakout will dig into the details of this transformation, examining the patterns, strategies, and techniques that can be used to introduce agents into an existing multi-tenant system.

Amazon Route 53 Global Resolver is a new service providing global anycast and secure DNS resolution for on-premises, branch office, and remote clients. Learn how to enable Global Resolver for split-traffic query resolution of public internet domains and private AWS-hosted domains, optimizing for low latency based on client location. Discover security controls protecting against DNS exfiltration attacks and enhance query privacy through DNS-over-HTTPs/DNS-over-TLS protocols.

You know something is broken with your architecture but you need help to fix it. Kiro to the rescue! Learn how to take your AWS app to the next level using AI-powered troubleshooting! Today we'll be talking with Ranier from our partner field team who ran this session at re:invent this past year.

Discover how customers are leveraging AWS AI-driven solutions to accelerate their cloud transformation journey, moving beyond traditional migration and modernization to achieve digital transformation excellence. This session showcases real-world experiences where organizations have integrated AI-powered accelerators with AWS cloud services to achieve 3x faster migration timelines and drive unprecedented business value.

Discover how Nissan built a comprehensive SDV ecosystem and reduced software testing time by 75%, combining advanced software development environments, robust data platforms, and scalable EE architecture all powered by AWS. We'll explore how the implementation of AWS Generative AI capabilities, test automation, and custom engineering workbenches has enabled Nissan to decouple service development from vehicle development cycles, allowing for more frequent and agile service releases.