Nouveauté
Building Reliable AI Agents. Designing, Deploying, and Scaling Autonomous AI Systems
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- FormatePub
- ISBN8905169779
- EAN9798905169779
- Date de parution29/06/2026
- Protection num.pas de protection
- Taille625 Ko
- Infos supplémentairesepub
- ÉditeurChiify
Résumé
# Book Description
**The future of artificial intelligence belongs to reliable AI agents-and this book shows you how to build them.**
AI agents are transforming the way organizations automate workflows, make decisions, interact with customers, and solve complex business challenges. From intelligent assistants and autonomous workflows to enterprise automation and multi-agent systems, reliable AI agents are becoming a cornerstone of modern software development.
However, building an AI agent that performs consistently, securely, and at scale requires far more than connecting a large language model to an application. **Building Reliable AI Agents** is a comprehensive, hands-on guide that teaches you how to design, develop, deploy, and manage production-ready AI agents that organizations can trust. Whether you're an AI engineer, software developer, solutions architect, IT professional, researcher, or technology leader, this book provides the practical knowledge and engineering principles needed to move beyond prototypes and build dependable AI systems for real-world applications. Inside this book, you'll learn how to: ? Understand the architecture and lifecycle of modern AI agents. ? Build agents with reasoning, planning, memory, and decision-making capabilities. ? Implement Retrieval-Augmented Generation (RAG) for accurate, context-aware responses. ? Integrate AI agents with APIs, databases, search engines, and enterprise applications. ? Design resilient, fault-tolerant, and scalable agent architectures. ? Protect AI systems with security best practices, governance, and compliance frameworks. ? Test, evaluate, monitor, and optimize AI agents for production environments. ? Develop multi-agent systems that collaborate to solve complex tasks. ? Explore real-world case studies across cybersecurity, healthcare, finance, software engineering, customer service, and enterprise operations. ? Prepare for the future of autonomous AI through emerging technologies and industry trends. More than just an introduction to AI agents, this book presents a complete engineering roadmap for creating intelligent systems that are reliable, secure, maintainable, and scalable.
Through practical examples, architectural guidance, implementation strategies, and proven best practices, you'll gain the confidence to build AI solutions that deliver measurable business value. Whether you're creating your first AI-powered application or architecting enterprise-scale autonomous systems, **Building Reliable AI Agents** will equip you with the knowledge and skills to design AI agents that perform consistently, adapt intelligently, and earn the trust of users and organizations alike. **Build AI agents that do more than generate answers-build AI agents that deliver reliable results.**
However, building an AI agent that performs consistently, securely, and at scale requires far more than connecting a large language model to an application. **Building Reliable AI Agents** is a comprehensive, hands-on guide that teaches you how to design, develop, deploy, and manage production-ready AI agents that organizations can trust. Whether you're an AI engineer, software developer, solutions architect, IT professional, researcher, or technology leader, this book provides the practical knowledge and engineering principles needed to move beyond prototypes and build dependable AI systems for real-world applications. Inside this book, you'll learn how to: ? Understand the architecture and lifecycle of modern AI agents. ? Build agents with reasoning, planning, memory, and decision-making capabilities. ? Implement Retrieval-Augmented Generation (RAG) for accurate, context-aware responses. ? Integrate AI agents with APIs, databases, search engines, and enterprise applications. ? Design resilient, fault-tolerant, and scalable agent architectures. ? Protect AI systems with security best practices, governance, and compliance frameworks. ? Test, evaluate, monitor, and optimize AI agents for production environments. ? Develop multi-agent systems that collaborate to solve complex tasks. ? Explore real-world case studies across cybersecurity, healthcare, finance, software engineering, customer service, and enterprise operations. ? Prepare for the future of autonomous AI through emerging technologies and industry trends. More than just an introduction to AI agents, this book presents a complete engineering roadmap for creating intelligent systems that are reliable, secure, maintainable, and scalable.
Through practical examples, architectural guidance, implementation strategies, and proven best practices, you'll gain the confidence to build AI solutions that deliver measurable business value. Whether you're creating your first AI-powered application or architecting enterprise-scale autonomous systems, **Building Reliable AI Agents** will equip you with the knowledge and skills to design AI agents that perform consistently, adapt intelligently, and earn the trust of users and organizations alike. **Build AI agents that do more than generate answers-build AI agents that deliver reliable results.**
