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The video explores four foundational design patterns in agentic AI systems: reflection, tool use, planning, and multi-agent collaboration. These patterns represent the evolution of AI from basic problem-solving to sophisticated autonomous systems capable of making complex decisions with minimal human oversight. Through practical examples using Amazon Bedrock, the video demonstrates how AI agents can self-evaluate, utilize external tools, break down complex tasks, and collaborate effectively.

Are you looking to learn AWS but don't know where to start? This video is for you. Learn the essentials of the most important AWS services explained in a way even beginners can understand Sign up for my Newsletter to receive regular AWS updates AND get a FREE PDF that includes 5 AWS Project Ideas: https://beabetterdev.com/aws-project-ideas-pdf/ 📚 My Courses 📚 AWS Learning Accelerator - Learn AWS Through a Hands On Project - https://courses.beabetterdev.

Amazon Web Services AI expert Dr. Nashlie Sephus meets JJ, the general manager of Vegas Balloon Rides. Together with business partner and pilot Jeff, JJ takes people on hot air balloon rides around the Las Vegas area. Predicting the best days to fly a balloon is something JJ and Jeff currently do manually by gathering weather forecast and other data. They would love to build a mobile app to do this for them, but aren't sure exactly where to start.

Amazon Quick Suite is an AI-native digital workplace that empowers every business user with AI agents that streamline complex tasks, helping make better decisions, faster, and act on them swiftly. By seamlessly integrating user and enterprise data sources with comprehensive research capabilities, data- driven business insights, and powerful agentic automation tools into a single experience, Quick Suite helps users work smarter and faster – all while maintaining security and user access...

The AI-Driven Development Life Cycle (AI-DLC) represents a transformative approach to software engineering that positions AI as a central collaborator throughout the development process. Unlike traditional AI-assisted development methods, AI-DLC reimagines the entire software lifecycle through two key dimensions: AI-powered execution with human oversight and dynamic team collaboration.

In this episode of "AWS Show and Tell - Gen AI", we'll guide you step-by-step in building your first multi-agent application using Strands Agents, leveraging the power of Model Context Protocol (MCP) to call your favorite APIs. We’ll show you how to create a personal assistant using Strands Agents, MCP servers, Strands Agents built-in tools, custom Python tools, and multi-agent collaboration. Get started with your own idea ahead of this session with https://strandsagents.

Storage Browser for Amazon S3 is an open source component you can add to your web applications to provide your end users with a simple interface for data stored in S3. With Storage Browser for S3, you can provide authorized end users access to easily browse, download, upload, copy, and delete data in S3 directly from your own applications.

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.

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.

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.

Get started with Amazon Bedrock 👉 https://a.co/gxM1DUy Discover how Java developers can leverage the power of Spring AI, Amazon Bedrock, and the Model Context Protocol (MCP) to build an AI-powered dog adoption service. This step-by-step tutorial covers everything from using AI models to integrating with external data & services.