Master the art of building scalable and reliable autonomous systems with Developing Agentic AI: Patterns and Architectures for Autonomous Systems , a definitive guide tailored for AI engineers. Authored by Ethan Quan, this 14-chapter book explores cutting-edge workflow patterns and architectures, diving into goal decomposition, ReAct reasoning, and reflection loops to create intelligent agentic systems. Learn to implement tool chaining, orchestrate multi-agent collaborations, and manage short-term and long-term memory ...
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Master the art of building scalable and reliable autonomous systems with Developing Agentic AI: Patterns and Architectures for Autonomous Systems , a definitive guide tailored for AI engineers. Authored by Ethan Quan, this 14-chapter book explores cutting-edge workflow patterns and architectures, diving into goal decomposition, ReAct reasoning, and reflection loops to create intelligent agentic systems. Learn to implement tool chaining, orchestrate multi-agent collaborations, and manage short-term and long-term memory layers with practical code snippets in Python and TypeScript. The book addresses scalability strategies like rate limiting and sandbox execution, self-healing deployments, and monitoring for drift with performance optimization techniques. Discover governance models for responsible AI, cost optimization in agentic workflows, and the power of low-code agent factories for rapid development. Enriched with real-world case studies-such as scaling DevOps and customer support agents-this guide bridges the gap from ad-hoc scripts to robust, production-ready solutions. Ideal for AI engineers seeking to design resilient, maintainable agentic systems, this book requires no advanced prerequisites-just a drive to innovate. With concise tutorials and actionable checklists, achieve impactful results quickly. Key Topics : Agentic systems, workflow patterns, goal decomposition, ReAct reasoning, reflection loops, tool chaining, multi-agent collaboration, memory management, scalability, rate limiting, self-healing deployments, drift monitoring, governance, cost optimization, low-code development, real-world case studies. Who This Book Is For : AI Engineers designing autonomous workflows. Developers building scalable agentic architectures. Data Scientists optimizing multi-agent systems. Product Leaders overseeing AI system reliability. No prior agentic system expertise needed-just a passion for AI innovation. Why Choose This Book? Comprehensive Approach : From workflow patterns to production-ready systems. Practical Insights : Hands-on tutorials and code for immediate application. Future-Focused : Explores emerging trends in agentic system design. Ready to develop scalable, reliable agentic AI? Get Developing Agentic AI: Patterns and Architectures for Autonomous Systems today and revolutionize your AI engineering projects
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New. Print on demand Trade paperback (US). Glued binding. 222 p. AI Agent Mastery Series: Building, Scaling, and Integrating Intelligent AI Systems with Transformers, 2.
