Items related to Building Agentic and Autonomous AI Agents: Design Intelligen...
Building Agentic and Autonomous AI Agents: Design Intelligent LLM Agents with Tools, Memory, Reasoning, Planning, and Multi-Agent Workflows (Building ... AI: From LLMs and RAG to Autonomous Agents) - Softcover
Book 2 of 2: Building Intelligent AI: From LLMs and RAG to Autonomous Agents
Synopsis
AI is moving beyond systems that simply generate text. The next generation of intelligent applications can interpret goals, reason about tasks, use tools, maintain context, make decisions, and execute multi-step workflows.
But building reliable AI agents requires more than connecting an LLM to a prompt.
Building Agentic and Autonomous AI Agents provides a practical engineering guide to designing, developing, evaluating, securing, and deploying modern agentic AI systems. It takes you from the foundations of AI agents to autonomous workflows, tool use, memory, reasoning, planning, orchestration, and multi-agent architectures.
You will learn how to:
Understand the architecture and core principles behind agentic AI
Design LLM-powered agents that can reason and make decisions
Build agents that use tools, APIs, databases, files, and external services
Implement short-term, long-term, and persistent agent memory
Design task decomposition, planning, reflection, and adaptive reasoning loops
Build sequential, conditional, iterative, event-driven, and human-in-the-loop workflows
Move from predefined workflows toward controlled autonomous execution
Design multi-agent systems with specialized roles, delegation, coordination, and supervision
Connect retrieval-augmented generation to AI agents
Test agent decisions, tool usage, reliability, and task completion
Protect agents against prompt injection, unauthorized actions, and unsafe tool use
Monitor, evaluate, optimize, deploy, and scale production-ready agentic applications
Understand advanced architectures such as ReAct-style, planning-based, reflection-based, memory-augmented, and multi-agent systems
Rather than treating AI agents as mysterious autonomous systems, this book approaches them as engineered software systems with models, state, tools, memory, control loops, policies, and measurable outcomes.
Whether you are a developer exploring LLM agents, an AI engineer building production systems, or a technical professional seeking to understand autonomous AI architectures, this book provides a structured path from LLM applications to intelligent, tool-using, reasoning, and autonomous systems.
This is Book 1 of The Agentic AI and GraphRAG Engineering Series.
It establishes the foundations you will need before moving into the knowledge-aware architectures explored in Book 2, Building Intelligent AI with GraphRAG.
"synopsis" may belong to another edition of this title.
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Building Agentic and Autonomous AI Agents: Design Intelligent LLM Agents with Tools, Memory, Reasoning, Planning, and Multi-Agent Workflows (Building ... AI: From LLMs and RAG to Autonomous Agents)
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Building Agentic and Autonomous AI Agents
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Building Agentic and Autonomous AI Agents (Paperback)
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Paperback. Condition: new. Paperback. AI is moving beyond systems that simply generate text. The next generation of intelligent applications can interpret goals, reason about tasks, use tools, maintain context, make decisions, and execute multi-step workflows.But building reliable AI agents requires more than connecting an LLM to a prompt. Building Agentic and Autonomous AI Agents provides a practical engineering guide to designing, developing, evaluating, securing, and deploying modern agentic AI systems. It takes you from the foundations of AI agents to autonomous workflows, tool use, memory, reasoning, planning, orchestration, and multi-agent architectures.You will learn how to: Understand the architecture and core principles behind agentic AIDesign LLM-powered agents that can reason and make decisionsBuild agents that use tools, APIs, databases, files, and external servicesImplement short-term, long-term, and persistent agent memoryDesign task decomposition, planning, reflection, and adaptive reasoning loopsBuild sequential, conditional, iterative, event-driven, and human-in-the-loop workflowsMove from predefined workflows toward controlled autonomous executionDesign multi-agent systems with specialized roles, delegation, coordination, and supervisionConnect retrieval-augmented generation to AI agentsTest agent decisions, tool usage, reliability, and task completionProtect agents against prompt injection, unauthorized actions, and unsafe tool useMonitor, evaluate, optimize, deploy, and scale production-ready agentic applicationsUnderstand advanced architectures such as ReAct-style, planning-based, reflection-based, memory-augmented, and multi-agent systemsRather than treating AI agents as mysterious autonomous systems, this book approaches them as engineered software systems with models, state, tools, memory, control loops, policies, and measurable outcomes.Whether you are a developer exploring LLM agents, an AI engineer building production systems, or a technical professional seeking to understand autonomous AI architectures, this book provides a structured path from LLM applications to intelligent, tool-using, reasoning, and autonomous systems.This is Book 1 of The Agentic AI and GraphRAG Engineering Series.It establishes the foundations you will need before moving into the knowledge-aware architectures explored in Book 2, Building Intelligent AI with GraphRAG. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798192280355
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Building Agentic and Autonomous AI Agents : Design Intelligent LLM Agents with Tools, Memory, Reasoning, Planning, and Multi-Agent Workflows
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Taschenbuch. Condition: Neu. Neuware - AI is moving beyond systems that simply generate text. The next generation of intelligent applications can interpret goals, reason about tasks, use tools, maintain context, make decisions, and execute multi-step workflows.But building reliable AI agents requires more than connecting an LLM to a prompt. Building Agentic and Autonomous AI Agents provides a practical engineering guide to designing, developing, evaluating, securing, and deploying modern agentic AI systems. It takes you from the foundations of AI agents to autonomous workflows, tool use, memory, reasoning, planning, orchestration, and multi-agent architectures.You will learn how to: - Understand the architecture and core principles behind agentic AI- Design LLM-powered agents that can reason and make decisions- Build agents that use tools, APIs, databases, files, and external services- Implement short-term, long-term, and persistent agent memory- Design task decomposition, planning, reflection, and adaptive reasoning loops- Build sequential, conditional, iterative, event-driven, and human-in-the-loop workflows- Move from predefined workflows toward controlled autonomous execution- Design multi-agent systems with specialized roles, delegation, coordination, and supervision- Connect retrieval-augmented generation to AI agents- Test agent decisions, tool usage, reliability, and task completion- Protect agents against prompt injection, unauthorized actions, and unsafe tool use- Monitor, evaluate, optimize, deploy, and scale production-ready agentic applications- Understand advanced architectures such as ReAct-style, planning-based, reflection-based, memory-augmented, and multi-agent systemsRather than treating AI agents as mysterious autonomous systems, this book approaches them as engineered software systems with models, state, tools, memory, control loops, policies, and measurable outcomes.Whether you are a developer exploring LLM agents, an AI engineer building production systems, or a technical professional seeking to understand autonomous AI architectures, this book provides a structured path from LLM applications to intelligent, tool-using, reasoning, and autonomous systems.This is Book 1 of The Agentic AI and GraphRAG Engineering Series.It establishes the foundations you will need before moving into the knowledge-aware architectures explored in Book 2, Building Intelligent AI with GraphRAG. Seller Inventory # 9798192280355
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