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AI Agents on AWS. Beginner's guide to building AI agents on AWS Bunny Kaushik, Mona M, Randy DeFauw

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AI Agents on AWS. Beginner's guide to building AI agents on AWS Bunny Kaushik, Mona M, Randy DeFauw - okladka książki

AI Agents on AWS. Beginner's guide to building AI agents on AWS Bunny Kaushik, Mona M, Randy DeFauw - okladka książki

AI Agents on AWS. Beginner's guide to building AI agents on AWS Bunny Kaushik, Mona M, Randy DeFauw - audiobook MP3

AI Agents on AWS. Beginner's guide to building AI agents on AWS Bunny Kaushik, Mona M, Randy DeFauw - audiobook CD

Autorzy:
Bunny Kaushik, Mona M, Randy DeFauw
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Bądź pierwszym, który oceni tę książkę
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292
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Build reliable AI agents on AWS and move beyond prototypes with practical guidance. This book helps you design, deploy, and manage agentic systems that reason, use tools, and collaborate to solve real-world tasks.

You start with the foundations of agentic AI, understanding how agents think, act, and interact. Design single-agent systems, extend them with tool and function calling, and add memory for context-aware behavior using Amazon Bedrock and SageMaker AI. You will also use LangGraph and Strands to structure agent workflows.

As you progress, create multi-agent systems and orchestrate workflows where specialized agents collaborate. Learn how MCP and A2A enable communication, interoperability, and modular design across agent ecosystems.

Focus on production readiness by deploying and scaling agents with Bedrock AgentCore, evaluating performance, and implementing observability, monitoring, and governance. By the end, you will be able to design and operate robust AI agent systems on AWS.

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O autorach książki

Bunny Kaushik is a Solutions Architect at Amazon Web Services who loves to architect and build solutions and help customers innovate on the AWS platform. He is an Amazon SageMaker SME, Generative AI hero, and ML thought leader within AWS. He has 10 years' experience working as an ML specialist and Engineer, and managing projects across different teams. Outside of work, he enjoys swimming, playing volleyball, rock climbing, and exploring new places.
Mona M is a senior AI/ML specialist solutions architect at AWS. She is a highly skilled IT professional, with more than 10 years' experience in software design, development, and integration across diverse work environments. As an AWS solutions architect, her role is to ensure customer success in building applications and services on the AWS platform. She is responsible for crafting a highly scalable, flexible, and resilient cloud architecture that addresses customer business problems. She has published multiple blogs on AI and NLP on the AWS AI channel along with research papers on AI-powered search solutions.
Randy DeFauw is a Principal Solution Architect at AWS. He holds an MSEE from the University of Michigan, where his graduate thesis focused on computer vision for autonomous vehicles. He also holds an MBA from Colorado State University. Randy has held a variety of positions in the technology space, ranging from software engineering to product management. He entered the big data space in 2013 and continues to explore that area. He is actively working on projects in the ML space, including reinforcement learning. He has presented at numerous conferences, including GlueCon and Strata, published several blogs and white papers, and contributed many open source projects to GitHub.

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