Mastering Serverless Agentic AI
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Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architect(The AI Knowledge Engine Series: Rag, Multi-Agent Systems, Architecting Intelligent, Self-Directed AG)

Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architect(The AI Knowledge Engine Series: Rag, Multi-Agent Systems, Architecting Intelligent, Self-Directed AG)


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About the Book

Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architecture Unlock the future of AI with Mastering Serverless Agentic AI, the ultimate guide to building intelligent, autonomous systems that scale effortlessly in the cloud. This groundbreaking book provides a comprehensive, hands-on approach to designing, deploying, and managing serverless AI agents capable of reasoning, decision-making, and real-world interaction using cutting-edge technologies like Amazon Bedrock, Retrieval-Augmented Generation (RAG), LangChain, AWS API Gateway, and OpenSearch. Whether you're an AI engineer, cloud architect, or enterprise innovator, this book equips you with actionable strategies to develop context-aware, multimodal, and self-directed AI agents that seamlessly integrate with APIs, databases, and external tools. You'll explore advanced Agentic AI architectures, leverage multi-agent systems, and implement secure, scalable AI pipelines using best practices in serverless computing and modern cloud frameworks. Key topics include: Building AI-driven chatbots, virtual assistants, and decision-making agents Implementing advanced memory systems with vector databases and contextual retrieval Connecting AI agents to APIs for real-world automation and business intelligence Harnessing AWS Bedrock, OpenSearch, and API Gateway for enterprise-grade AI applications Optimizing RAG-based architectures for next-generation AI-powered workflows Securing AI agents with IAM policies, responsible AI practices, and compliance frameworks Scaling AI agents across cloud and edge computing for maximum efficiency With step-by-step tutorials, real-world use cases, and expert insights, this book serves as your practical roadmap to mastering autonomous AI systems in production environments. If you're ready to future-proof your AI skills and stay ahead of the next wave of AI innovation, Mastering Serverless Agentic AI is your essential resource.


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Product Details
  • ISBN-13: 9798311663595
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 158
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 288 gr
  • ISBN-10: 8311663599
  • Publisher Date: 21 Feb 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: The AI Knowledge Engine Series: Rag, Multi-Agent Systems, Architecting Intelligent, Self-Directed AG
  • Sub Title: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architect
  • Width: 178 mm


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Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architect(The AI Knowledge Engine Series: Rag, Multi-Agent Systems, Architecting Intelligent, Self-Directed AG)
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Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architect(The AI Knowledge Engine Series: Rag, Multi-Agent Systems, Architecting Intelligent, Self-Directed AG)
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Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architect(The AI Knowledge Engine Series: Rag, Multi-Agent Systems, Architecting Intelligent, Self-Directed AG)

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