Books — LLM

EN
Transformation Enterprise Architecture with Agentic AI: Designing Intelligent, Adaptive, and Self-Governing Systems

Transformation Enterprise Architecture with Agentic AI: Designing Intelligent, Adaptive, and Self-Governing Systems

A

Shivakumar R. Goniwada

AI and ML
RU
AI Interface Design Patterns. How to Create Creative and Autonomous Systems

AI Interface Design Patterns. How to Create Creative and Autonomous Systems

A

Луиза Макфадьен

Software Development
RU
Prompt Engineering and Working with LLMs. How to Talk to Artificial Intelligence

Prompt Engineering and Working with LLMs. How to Talk to Artificial Intelligence

A

Камиль Гадеев

AI and ML
EN
Mastering the Microsoft Agent Framework: Building Enterprise AI Agents with .NET

Mastering the Microsoft Agent Framework: Building Enterprise AI Agents with .NET

A

Sarat Piridi

AI and ML
EN
Mastering Multi-agent Systems with Azure OpenAI: Build, Orchestrate, and Deploy RAG-Enabled Multiple Autonomous Intelligent Agents at Scale

Mastering Multi-agent Systems with Azure OpenAI: Build, Orchestrate, and Deploy RAG-Enabled Multiple Autonomous Intelligent Agents at Scale

B

Abhishek Mishra

DevOps and Infrastructure
RU
DeepSeek in Practice

DeepSeek in Practice

A

Мэн Цзянь, Яо Лусин

AI and ML
EN
Breaking the Model Context Protocol: Agentic Attacks and Defenses for MCP-Powered AI Systems

Breaking the Model Context Protocol: Agentic Attacks and Defenses for MCP-Powered AI Systems

A

Thejes sree Satheesh kumar, Srinivasan Sekar

AI and ML
EN
AI Agents: The Definitive Guide

AI Agents: The Definitive Guide

A

Nicole Koenigstein

AI and ML
RU
LLM in Practice. Large Language Models from Idea to Implementation

LLM in Practice. Large Language Models from Idea to Implementation

A

Пол Юстин, Максим Лабонн

AI and ML
EN
Build an AI Agent (From Scratch): Agents that reason, plan, and act autonomously

Build an AI Agent (From Scratch): Agents that reason, plan, and act autonomously

A

Jungjun Hur, Younghee Song

AI and ML
EN
Building Reliable AI Systems: Applications and Agents You Can Trust

Building Reliable AI Systems: Applications and Agents You Can Trust

A

Rush Shahani

Programming languages
RU
AI Assistants in Python: Applying LLM, GPT, RAG in Practice + Virtual Disk with Ready Bots and Examples

AI Assistants in Python: Applying LLM, GPT, RAG in Practice + Virtual Disk with Ready Bots and Examples

A

Воробьев М. С.

AI and ML
EN
Mastering NLP from Foundations to LLMs

Mastering NLP from Foundations to LLMs

A

Lior Gazit, Meysam Ghaffari

AI and ML
EN
Python Automation Cookbook, Third Edition

Python Automation Cookbook, Third Edition

A

Jaime Buelta

AI and ML
RU
How LLM Works. From Token to Attention — Large Language Models Explained in Human Terms

How LLM Works. From Token to Attention — Large Language Models Explained in Human Terms

A

Андрей Сапунов

AI and ML
EN
Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale

Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale

A

Ankush Sharma

AI and ML
EN
Generative AI for Effective Software Development

Generative AI for Effective Software Development

A

Anh Nguyen-Duc, Pekka Abrahamsson, Foutse Khomh (Editors)

AI and ML
EN
Practical Java Programming with ChatGPT

Practical Java Programming with ChatGPT

A

Alan S. Bluck

AI and ML
EN
Designing Large Language Model Applications

Designing Large Language Model Applications

A

Suhas Pai

AI and ML
EN
Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

A

Olivier Caelen, Marie-Alice Blete

AI and ML
EN
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

A

Ofer Mendelevitch, Forrest Sheng Bao

AI and ML
RU
Developing Applications with GPT-4 and ChatGPT

Developing Applications with GPT-4 and ChatGPT

A

Оливье Келен, Мари-Алис Блете

AI and ML
EN
Building Complex Multi-Agent Systems Using Pattern Prompting

Building Complex Multi-Agent Systems Using Pattern Prompting

A

Tim O'Brien

AI and ML
EN
Build Python Web Apps with Streamlit: AI and data applications in minutes

Build Python Web Apps with Streamlit: AI and data applications in minutes

A

Aneev D. Kochakadan

WEB development
EN
Think Python, Third Edition: How to Think Like a Computer Scientist

Think Python, Third Edition: How to Think Like a Computer Scientist

A

Allen B. Downey

AI and ML
EN
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

A

Mayo Oshin, Nuno Campos

AI and ML
EN
RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

A

Dominik Polzer

AI and ML
RU
Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

A

Томаж Братанич, Оскар Хане

AI and ML
EN
Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

A

Pramod Singh, James McKeone

AI and ML
EN
GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

A

Bernhard Eidel

AI and ML
EN
Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code

Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code

A

Almantas Karpavičius

AI and ML
EN
AI-Powered Search

AI-Powered Search

A

Trey Grainger, Doug Turnbull, Max Irwin

AI and ML
RU
Jeyaraman B.P. - Large Language Models Ops for Finance - 2025

Jeyaraman B.P. - Large Language Models Ops for Finance - 2025

A

B. P. Jeyaraman

AI and ML
RU
Nagasubramanian Dhivya - Agentic AI for Engineers - 2026

Nagasubramanian Dhivya - Agentic AI for Engineers - 2026

A

Dhivya Nagasubramanian

AI and ML
EN
Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation

Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation

A

Brindha Priyadarshini Jeyaraman

AI and ML
EN
Essential GraphRAG: Knowledge Graph–Enhanced RAG

Essential GraphRAG: Knowledge Graph–Enhanced RAG

A

Tomaž Bratanič, Oskar Hane

AI and ML
EN
Building AI Agents with LLMs, RAG, and Knowledge Graphs

Building AI Agents with LLMs, RAG, and Knowledge Graphs

A

Salvatore Raieli, Gabriele Iuculano

AI and ML
RU
Building an LLM from Scratch

Building an LLM from Scratch

A

Себастьян Рашка

AI and ML
RU
Large Language Model-Based Recommendation Systems. Full Development Cycle: From Pre-training to Deployment of Intelligent Agents

Large Language Model-Based Recommendation Systems. Full Development Cycle: From Pre-training to Deployment of Intelligent Agents

A

Лю Лу, Чжан Юйцзюнь

AI and ML
RU
Generative AI with Large Language Model (LLM) Training for Juniors

Generative AI with Large Language Model (LLM) Training for Juniors

A

Шамим Бхуян, Тимур Исаченко

AI and ML
EN
Generative AI for Software Development: Building Software Faster and More Effectively

Generative AI for Software Development: Building Software Faster and More Effectively

A

Sergio Pereira

AI and ML
EN
Time Series Forecasting Using Foundation Models

Time Series Forecasting Using Foundation Models

A

Marco Peixeiro

AI and ML
EN
AI Agents and Applications with LangChain, LangGraph, and MCP

AI Agents and Applications with LangChain, LangGraph, and MCP

A

Roberto Infante

AI and ML
EN
Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

A

Shantanu Baruah, Nitara Baruah

AI and ML
EN
Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

A

Irena Cronin

AI and ML
EN
Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

A

Valliappa Lakshmanan, Hannes Hapke

AI and ML
RU
Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

A

Джеймс Феникс, Майк Тейлор

AI and ML
RU
AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

A

Том Таулли

AI and ML
EN
Data Analysis with LLMs: Text, tables, images and sound

Data Analysis with LLMs: Text, tables, images and sound

A

Immanuel Trummer

AI and ML
EN
Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

A

Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Thomas Rueckstiess, Henry Weller, Richmond Alake, Shubham Ranjan

AI and ML
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