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In this tutorial, we dive into the world of Strands Agents, a lightweight SDK that simplifies the process of building intelligent agents powered by large language models. Discover how to create agents capable of understanding natural language queries, integrating with external tools and APIs, and iteratively solving problems through reasoning and planning. We'll start by introducing the core concepts of Strands Agents and demonstrating how to set up the SDK.

Amazon S3 Vectors delivers the first cloud object storage with native support to store and query vectors at scale, reducing cost for uploading, storing, and querying vectors by up to 90%. Designed for cost-optimized and durable storage of large vector datasets with sub-second query performance, S3 Vectors lets you cost-effectively scale to billions of vectors and is ideal for the infrequent query needs of your semantic search and AI applications. Learn more about Amazon S3 Vectors: https://go.

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.

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 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.

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 this video, Mike Chambers, Sr. Developer Advocate at AWS, explains the ins and outs of MCP (Model Context Protocol), an open source protocol from Anthropic that enables the creation of agentic systems with LLMs (large language models). Explore how MCP decouples agents from servers, allowing for seamless integration with cloud-based resources and remote functionality.

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.

AWS has introduced changes to the AWS Free Tier Program with the goal of giving you easy access to a broader range of AWS services and a straight-forward credit model with flexibility in how you use credits across services, so you can explore the benefits of AWS with zero risk of unexpected charges. Learn more about the AWS Free Tier Program: https://go.aws/free Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.

Kubernetes has become a standard way for organizations looking to modernize their application portfolios. AWS developed Amazon EKS to make Kubernetes more accessible to organizations of all sizes, helping them focus on what matters most for their businesses. In this session, join Amazon EKS product leadership to learn about the latest innovations and strategies for building Kubernetes platforms and applications faster.

From racing analytics to gaming infrastructure, see how AWS helps global leaders transform their industries. Learn how BMW, Epic Games, & Formula 1 leverage cloud capabilities to innovate at scale & deliver breakthrough customer experiences. 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.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.

S3 Files delivers a shared file system that connects any AWS compute resource directly with your data in Amazon S3. It provides fast, direct access to all of your S3 data as files with full file system semantics and low-latency performance, without your data ever leaving S3. That means your file-based applications, agents, and teams can now access and work with your S3 data as a file system using the tools they already depend on.