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Learn to build a production-grade agentic RAG system using Amazon Bedrock Knowledge Bases, Strands, and AgentCore in this expert-level code talk. Through live coding and detailed walkthroughs, learn how to build an intelligent event assistant agent that integrates knowledge retrieval, long-term memory, and user authentication.

Twitch stream from aws

Embark on a faster, smoother cloud transformation with agentic AI and integrated solutions. This session reveals how AWS Transform accelerates your cloud journey, addressing migration and modernization challenges through intelligent automation. Through real-world examples, discover how to leverage this powerful integration to fast-track your cloud adoption and transformation efforts.

Master the use of generative AI-powered software agents for creating and analyzing architecture diagrams and technical documentation. Learn to work with various diagram formats, from images to diagram-as-code representations. Explore chat-based workflows that leverage Model Context Protocol (MCP) servers for enhanced capabilities. Practice integrating custom context rules, example diagrams, and enterprise knowledge sources.

Emerging trends, ranging from Open Table Formats (OTF) to agentic infrastructure, are rapidly changing how humans and applications interact with analytics to drive mission-critical business decisions. Join Mai-Lan Tomsen Bukovec, VP of AWS Technology, to explore emerging trends, the evolution of analytics engines and applications, and how to future-proof your data foundation for the rapidly changing landscape of analytics at scale.

Bring existing agents to AWS with Amazon Bedrock AgentCore. Whether you've built custom agents or use frameworks like LangChain, LangGraph, CrewAI, or LlamaIndex, this session shows how to run them on secure, scalable AWS infrastructure without rewriting your logic. Discover how AgentCore's API-based orchestration integrates external agent frameworks and services, centralizing tooling, observability, memory, and security.

Five marketing interns were given a challenge most seasoned marketers would sweat, a tight deadline, and only one tool to figure it out. No brief. We filmed everything.   Download Amazon Quick: https://go.aws/quick-download Learn more: https://go.aws/thinkquick Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine.

Most TypeScript AI agent tutorials end at localhost. But the moment real users hit your agent, you need streaming, auth, data isolation, cost controls, and observability — or things break fast. I built this on AWS with the Strands Agents SDK, but the patterns apply anywhere. If you're building AI agents with TypeScript for production, this video covers the 5 best practices I add to every agent I deploy: 1. Stream tool call events so your UI stays responsive during 10-second tool calls 2.

The tech market is brutal right now. If I quizzed you on what a VPC does or the difference between S3 and EBS, would you know? The cert by itself won't get you a job, but the skills you take away can improve your chances. That distinction is everything. An honest answer to whether the AWS Cloud Practitioner certification is worth taking in 2026, from two people who work at AWS. The cert is a 100-level entry point covering compute, storage, networking, databases, security, and pricing.

DialogWorld migrated their entire contact center into Amazon Connect Customer in just a couple of months. The benefits are clearly measurable: things that once took weeks or months now take seconds. Launching a new service for their customers happens almost instantly. Their agents love working with Amazon Connect Customer. With every piece of information on a single screen, agents can truly focus on customer needs.

Watch the full podcast episode today: https://go.aws/4dMCGC2 #AWS #AmazonWebServices #CloudComputing #Bedrock #AgenticAI #AgentCore #Podcast #AWS