AI Agents in the Modern Web Era: Build Secure Tool-Driven Applications, Browser Automation, and Scalable Multi-Agent Workflows - Couverture souple
Synopsis
Are your AI agents struggling to operate reliably in complex, real-world environments? Do you want to build multi-agent web applications that are secure, scalable, and capable of orchestrating tools and automation seamlessly?
AI Agents in the Modern Web Era provides a complete, practical blueprint for designing, deploying, and maintaining powerful agentic systems. From integrating large language models with retrieval-augmented generation (RAG) to orchestrating multiple agents across workflows, this book equips you with the skills to build professional-grade applications that perform consistently and securely.
Inside, you will learn to:
Design secure tool-driven agents that interact safely with APIs, databases, and web services
Implement browser automation for tasks like web scraping, form filling, and multi-step workflows
Build scalable multi-agent systems using queues, workers, and orchestration frameworks
Monitor and optimize performance, latency, and cost for efficient deployments
Apply robust evaluation, regression, and red-team testing to maintain reliability and trust
Integrate CI/CD, feature flags, and canary releases for smooth production updates
Maintain agents with post-deployment upgrades, monitoring, and continuous improvement
Whether you are a developer, AI practitioner, or product team member, this book provides the practical guidance and actionable frameworks to confidently build and manage agentic web applications at scale.
Take the next step: Master the modern standards of AI agent development and deployment, and transform your ideas into secure, efficient, and scalable applications today.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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AI Agents in the Modern Web Era: Build Secure Tool-Driven Applications, Browser Automation, and Scalable Multi-Agent Workflows
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AI Agents in the Modern Web Era (Paperback)
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Paperback. Etat : new. Paperback. Are your AI agents struggling to operate reliably in complex, real-world environments? Do you want to build multi-agent web applications that are secure, scalable, and capable of orchestrating tools and automation seamlessly?AI Agents in the Modern Web Era provides a complete, practical blueprint for designing, deploying, and maintaining powerful agentic systems. From integrating large language models with retrieval-augmented generation (RAG) to orchestrating multiple agents across workflows, this book equips you with the skills to build professional-grade applications that perform consistently and securely.Inside, you will learn to: Design secure tool-driven agents that interact safely with APIs, databases, and web servicesImplement browser automation for tasks like web scraping, form filling, and multi-step workflowsBuild scalable multi-agent systems using queues, workers, and orchestration frameworksMonitor and optimize performance, latency, and cost for efficient deploymentsApply robust evaluation, regression, and red-team testing to maintain reliability and trustIntegrate CI/CD, feature flags, and canary releases for smooth production updatesMaintain agents with post-deployment upgrades, monitoring, and continuous improvementWhether you are a developer, AI practitioner, or product team member, this book provides the practical guidance and actionable frameworks to confidently build and manage agentic web applications at scale.Take the next step: Master the modern standards of AI agent development and deployment, and transform your ideas into secure, efficient, and scalable applications today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798199351560
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AI Agents in the Modern Web Era : Build Secure Tool-Driven Applications, Browser Automation, and Scalable Multi-Agent Workflows
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