Search AWS Educational Content

Are your legacy applications holding you back from AI-driven workflows? In this live-coding session, discover how Kiro and Amazon Bedrock AgentCore Gateway bridge the gap between traditional business systems and modern AI agents without touching existing code. We'll demonstrate how to make REST APIs instantly accessible to AI agents using Kiro's vibe coding approach to naturally understand your intent alongside AgentCore Gateway's integration framework and Model Context Protocol (MCP).

AWS SimuLearn equips professionals with essential generative AI skills through hands-on solution building spanning Amazon Bedrock, Amazon Q Developer, and Amazon SageMaker technologies. Participants will progress through practical business scenarios that demonstrate how to evaluate AI models, build knowledge assistants, implement guardrails, generate code, and deploy foundation models across various AWS services.

Episode 7 of 8-part series on Amazon Bedrock AgentCore - Browser Tool In this video, we explore the *AgentCore Browser Tool*, enabling AI agents to interact with web applications in a secure, serverless environment. You’ll see: Headless Web Interaction: Automate tasks like web search, data extraction, and navigation using the Browser Tool’s headless capabilities.

Learn more about Innovative Leadership: https://go.aws/4q1wqKc Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS Summit Washington DC Executive Program | June 10, 2025 Join David Sacks and Dave Levy for a compelling conversation on advancing U.S. leadership in artificial intelligence. This fireside chat will explore how government and industry can collaborate to implement AI strategies that drive innovation, bolster national security, and deliver real-world impact.

In this video, you'll have an overview of GraphRAG implementation options on AWS, enabling you to implement GraphRAG solutions that extract meaningful answers from your organisational data through natural language interactions using Amazon Neptune. Learn more at - http://go.aws/4lM714R 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.

Watch the full episode at https://www.youtube.com/watch?v=7EzDzOdKjUo Chris Shea and Zelle Steyn meet to discuss Agentic AI on AWS, including how they've used Bedrock Agents and Bedrock AgentCore to invent and simplify in the Advertising Technology space. Get started with Bedrock AgentCore today at http://go.aws/4nJmvrP 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.

Go Inside the Ropes with host Amanda Balionis for an exclusive, behind-the-scenes look at how AWS powers the @PGATOUR. In Episode 1 of our NEW 5-part series, Amanda explores the PGA TOUR app’s newest feature: Favorite Players. Powered by AWS AI technology, Favorite Players creates a personalized mobile experience so fans can easily follow the players they love. Discover how AWS powers the PGA TOUR: https://go.aws/golf Subscribe to AWS: https://go.

Tired of "vibe coding"? Transform your workflow with Amazon Q Developer CLI's design-driven prompts! Create design docs, roll back changes, and build step-by-step—even for cat websites 😺 #AWS #generativeAI #AmazonQ #Developer #CloudComputing

Join AWS experts Amanda Lester and Maira Ladeira Tanke for as Kandyce Bohannon hosts an in-depth AWS She Builds Tech Skills episode on Amazon Bedrock AgentCore. Discover how to deploy production-ready AI agents securely at enterprise scale using any LLM model or framework. Learn practical implementation and best practices for using AgentCore Runtime, Gateway, Memory, and Identity to accelerate deploying and operating AI agents securely and at scale.

Discover how to securely build and deploy remote Model Context Protocol (MCP) servers on AWS that implement the protocol's security and trust principles. This session demonstrates OAuth 2.1 authorization patterns that enforce user consent, data privacy, and tool safety requirements. Learn to implement robust security controls using Amazon Cognito, API Gateway, and Lambda while maintaining protocol compliance.

AI agents have made financial institutions more productive, efficient, and secure. But a more autonomous financial system—defined by innovations like inter-agent payments, real-time underwriting, hyper-personalized customer service, and customized lending offers—represents the industry’s next frontier. This session explores how we will get there...and beyond.