O'Reilly Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

LangChain for RAG Beginners: Build Your First Powerful AI GPT Agent (Agents, GPTs, and Generative AI for Beginners)

Langchain for Life Science and Healthcare: Innovation Through LLMs and Generative AI Agents

O'Reilly

AI Agents and Applications: With Langchain, Langgraph and Mcp

Manning

Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

Packt Publishing

Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents

Packt Publishing

Building Applications with Large Language Models: Techniques, Implementation, and Applications

Apress

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Packt Publishing

Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI

Apress

Hands-On Large Language Models: Language Understanding and Generation

O'Reilly

30 Agents Every AI Engineer Must Build: Build production-ready agent systems using proven architectures and patterns

Packt Publishing

Generative AI Apps with LangChain and Python: A Project-Based Approach to Building Real-World LLM Apps

Apress

Designing Large Language Model Applications: A Holistic Approach

O'Reilly

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems

Rheinwerk Computing

Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services

O'Reilly

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows

Packt Publishing

LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development

Packt Publishing

Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning

Packt Publishing

GenAI on Google Cloud: Enterprise Generative AI Systems and Agents

O'Reilly

LLMs in Production: From Language Models to Successful Products

Manning

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Apress

Large Language Models: A Deep Dive: Bridging Theory and Practice

Springer

Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-Source LLMs (SpringerBriefs in Computer Science)

Springer