Step into the future of AI development with Agentic AI Agents Mastery - the definitive, hands-on guide to designing intelligent systems that don't just respond, but independently think, plan, reason, and act. This book bridges the gap between theory and practice, giving you the tools, techniques, and frameworks needed to build autonomous, real-world AI agents from scratch - powered by state-of-the-art Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and Multi-Agent ...
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Step into the future of AI development with Agentic AI Agents Mastery - the definitive, hands-on guide to designing intelligent systems that don't just respond, but independently think, plan, reason, and act. This book bridges the gap between theory and practice, giving you the tools, techniques, and frameworks needed to build autonomous, real-world AI agents from scratch - powered by state-of-the-art Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and Multi-Agent Architectures. Whether you're a developer, AI engineer, data scientist, researcher, or startup builder , this is the all-in-one blueprint for mastering the agentic revolution. Why This Book Is a Game-Changer In today's AI landscape, LLMs are just the starting point. The real transformation comes from agentic systems - AI architectures that can plan tasks, call tools, remember context, evaluate outcomes, and even collaborate with other agents. This book teaches you how to: - Build end-to-end AI agents that integrate tools, memory, planning, and real-world interaction - Combine GPT-4, Claude, Mistral, Qwen, and Gemini with external knowledge, APIs, and vector databases - Use LangChain, LangGraph, AutoGen, and CrewAI to create robust agent pipelines and workflows - Master Knowledge Graphs, GraphQL, and Graph-RAG to unlock reasoning with structured knowledge - Deploy scalable agents using FastAPI, Docker, and Streamlit - from prototype to production What You'll Learn - How to build, chain, and scale LLM-powered agents with LangChain - Retrieval-Augmented Generation using vector stores like Pinecone and FAISS - Graph-based reasoning with Neo4j, GraphQL, and hybrid RAG - Tool use, memory systems, planning, and autonomous decision-making - Multi-agent collaboration with AutoGen, CrewAI, and more - Deployment with FastAPI, Docker, and Streamlit - Safety, evaluation, and human-in-the-loop design Built for All Skill Levels - Beginner : Learn core agent concepts through analogies, clear definitions, and starter templates - Intermediate : Apply frameworks lke LangChain, RAG, and tool use in real-world scenarios - Advanced : Architect multi-agent systems, implement memory compression, and deploy scalable agent ecosystems Companion Resources Include - Agentic starter templates - Prompt engineering and LangChain cheatsheets - LLM and vector store setup guides - Open-source GitHub repository with installable CLI workflows Perfect For: - AI Engineers and MLOps Specialists - Software Developers exploring AI integration - Researchers and Data Scientists building contextual agents - Founders and Builders creating LLM-powered products - Tech Enthusiasts ready to go beyond ChatGPT prompts If you're ready to move from static prompts to fully autonomous, context-aware agents, Agentic AI Agents Mastery is your essential guide to the next frontier of AI. Build smarter agents. Unlock real autonomy. Shape the future.
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Add this copy of Agentic AI Agents Mastery: Master LLMs, RAG, LangChain, to cart. $16.09, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
