Articles liés à Building AI Agents with LangChain, LangGraph &...

Building AI Agents with LangChain, LangGraph & CrewAI: The Complete Hands-On Guide to Building Autonomous AI Agents with Python, LLMs, OpenAI, RAG, ... Multi-Agent Systems, and Real-World Projects - Couverture souple

Livre 16 sur 17: The AI Masterclass Series

Gupta, Sankalp; PUBLICATIONS, TELI

 
9798187131471: Building AI Agents with LangChain, LangGraph & CrewAI: The Complete Hands-On Guide to Building Autonomous AI Agents with Python, LLMs, OpenAI, RAG, ... Multi-Agent Systems, and Real-World Projects

Synopsis

Build the next generation of AI applications.

Artificial Intelligence is entering a new era.

Instead of simply answering questions, modern AI systems can reason, plan, use tools, search the web, remember information, collaborate with other agents, and complete complex tasks autonomously. These intelligent systems are known as AI Agents, and they are rapidly becoming one of the most valuable skills for developers, engineers, and AI professionals.

If you already know basic Python—or are ready to learn—you can start building powerful AI agents today.

Building AI Agents with LangChain, LangGraph & CrewAI is a practical, project-based guide that takes you from the fundamentals of AI agents to designing production-ready autonomous systems using today's most popular open-source frameworks.

Unlike books that only explain theory, this guide focuses on building real applications through clear explanations, practical examples, and complete Python implementations.

Inside You'll Learn

~ How AI Agents actually work

~ Agent Architecture and the ReAct Framework

~ LangChain from beginner to advanced

~ Building stateful workflows with LangGraph

~ Creating Multi-Agent Systems using CrewAI

~ Prompt Engineering for AI Agents

~ Tool Calling and Function Calling

~ Memory Management

~ Retrieval-Augmented Generation (RAG)

~ Vector Databases

~ AI Planning and Reasoning

~ Human-in-the-Loop Workflows

~ API Integration

~ Autonomous Research Agents

~ Customer Support Agents

~ Workflow Automation

~ Production Best Practices

~ Deployment Strategies

~ Real-world Projects

~ Complete Python Source Code


This Book Is Perfect For

• Python Developers

• Software Engineers

• AI Engineers

• Machine Learning Engineers

• Data Scientists

• Computer Science Students

• Automation Developers

• Startup Founders

• Anyone interested in Generative AI

No advanced AI knowledge is required.

You'll start with the fundamentals and gradually build intelligent AI systems capable of solving real-world business problems.

Whether your goal is to build autonomous assistants, AI workflows, research agents, customer support bots, or multi-agent applications, this book provides the practical knowledge and hands-on experience needed to build them confidently.

Start building intelligent AI agents today and stay ahead in the rapidly evolving world of Artificial Intelligence.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.