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Struggling with expensive Windows licensing costs and aging technology stacks? AWS Transform is the first agentic AI service for modernizing full-stack Windows applications at scale. Unlike traditional fragmented approaches, AWS Transform uses agentic AI to cohesively modernize your .NET Framework applications, SQL Server databases, legacy UI frameworks, and deployment pipelines.

Perfect for both newcomers and experienced practitioners looking to accelerate their AI agent development journey, this sessions will teach you to build and deploy AI agents using Amazon SageMaker Studio and Amazon Bedrock AgentCore. In this breakout session, you'll learn how to integrate enterprise data, train custom models, and deploy production-ready agents. We'll demonstrate how to streamline the entire machine learning lifecycle, from data preparation to deployment.

🛠️ Spec Driven Development Best Practices with Kiro | How to Build Like AWS | E4 Are you tired of vibe coding your way into a mess? In this episode of **How to Build Like AWS**, we dig into one of the most powerful shifts in AI-assisted development: **spec-driven development with Kiro**. The AWS PACE team joins us to break down how they build real customer prototypes — fast — and why having a spec isn't just good practice, it's a competitive advantage.

Discover how Amazon Q in QuickSight is revolutionizing business intelligence through natural language interactions. Learn how to implement and leverage this powerful feature to democratize data insights across your organization and enhance data-driven decision making.

Amazon SageMaker AI helps you train, customize, and deploy ML models, including FMs, with fully managed infrastructure, tools, and workflows — and streamline every step of the data lifecycle all in a single place. Learn more about SageMaker AI here: http://go.aws/4gAmAv2 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 Bedrock AgentCore Evaluations provides developers with a unified way to test and validate AI agent performance. In this session, you’ll learn how to apply pre-built metrics for key dimensions such as task success, response quality, and tool accuracy, or define custom success criteria tailored to your needs.

Episode 4 of 8-part series on Amazon Bedrock AgentCore - Gateway In this video, you’ll see AgentCore Gateway in action with a demo and code walkthrough: Learn how AgentCore Gateway lets you build a unified tool interface for agents, converting APIs, AWS Lambda functions, or internal services into MCP-compatible tools without writing infrastructure code. Step through creating and configuring a Gateway using the AgentCore SDK or console, including defining tool schemas (e.g.

In today’s episode, we break down the differences between GenAI and traditional AI/ML, explain key terms like foundational models and tokens, and dive into Amazon Bedrock’s unique features and pricing models. We’ll cover how to choose and optimize models, including fine-tuning, distillation, and latency options. Plus, we explore Retrieval Augmented Generation (RAG) and the benefits of prompt caching for cost and performance. Tune in for practical tips to get the most out of your AI workflows!

Rust's safety, performance, and reliability make it an ideal choice for cloud applications on AWS. From Amazon Aurora DSQL to AWS Firecracker and AWS Bottlerocket, AWS has demonstrated Rust's capabilities in critical infrastructure. This session explores practical applications of Rust, demonstrating serverless implementations and concurrent processing patterns. Discover how Rust's memory safety and efficient abstractions enhance AWS applications.

Tired of spending hours on architecture diagrams & infrastructure code? Watch how 3 AWS Strands Agents transform a basic app description into enhanced architecture, Mermaid diagrams, and production-ready Terraform—all while you make coffee! ☕ #AWS #generativeAI #CloudComputing #Developers #Terraform

Ever waited behind someone ordering 10 complex drinks? 😤 That's like a noisy neighbor in your message queue! Amazon SQS Fair Queues helps maintain consistent time between sending and receiving messages, even when one tenant creates a backlog. Keep your queue moving! 🚀 #AWS #CloudComputing #Developers #Software #Shorts

Watch the full episode at https://go.aws/4nARmq2 Chris Shea and Trevor Spires sit down to discuss MCP, including how they've used the AWS API MCP Server and MCP support for the Q Developer CLI to help with a variety of usecases ranging from diagram creation to slide deck generation. Get started with Q Developer today at https://aws.amazon.com/q/developer/ Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.