Books / AI and ML

AI and ML

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EN
Building LLM Applications with DSPy: Replacing Manual Prompts with Systematic Optimization

Building LLM Applications with DSPy: Replacing Manual Prompts with Systematic Optimization

A

Serj Smorodinsky, Brett Kennedy

AI and ML
EN
The Agentic Enterprise: A Leader's Guide to Orchestrating, Governing, and Scaling AI Agent Systems

The Agentic Enterprise: A Leader's Guide to Orchestrating, Governing, and Scaling AI Agent Systems

A

Babak Hodjat, Antoine Blondeau

AI and ML
RU
Machine Learning Upgrade: A Guide to MLOps, LLMs, and ML Infrastructure for Data Scientists

Machine Learning Upgrade: A Guide to MLOps, LLMs, and ML Infrastructure for Data Scientists

A

Kristen Kerrer, Caleb Kaiser

AI and ML
RU
Artificial Intelligence and Machine Learning for Programmers in PyTorch

Artificial Intelligence and Machine Learning for Programmers in PyTorch

A

Lawrence Moroney

AI and ML
RU
Building Applications with Large Language Models: A Holistic Approach to LLMs

Building Applications with Large Language Models: A Holistic Approach to LLMs

A

Suhaas Pai

AI and ML
RU
Programming Basics for Dummies, 2nd Edition

Programming Basics for Dummies, 2nd Edition

A

Chris Minnick et al.

AI and ML
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
EN
From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

A

Luise Freese

AI and ML
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

Kamil Gadeev

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
RU
Vibe Coding: Programming with Artificial Intelligence

Vibe Coding: Programming with Artificial Intelligence

A

Eddie Osmani

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

Yustin Paul, Maxim Labonne

AI and ML
EN
Authorization in Action: Build policy-based access control for zero trust, APIs, SaaS, and AI agents

Authorization in Action: Build policy-based access control for zero trust, APIs, SaaS, and AI agents

A

Phillip J. Windley

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
Linear Algebra for Data Science with Python

Linear Algebra for Data Science with Python

A

John M. Shea

AI and ML
EN
Microsoft Agent Framework in Practice: Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows

Microsoft Agent Framework in Practice: Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows

A

Daniel S. Scott

AI and ML
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

Vorobiev M. S.

AI and ML
EN
Python Automation Cookbook, Third Edition

Python Automation Cookbook, Third Edition

A

Jaime Buelta

AI and ML
EN
Python Data Analysis

Python Data Analysis

A

Avinash Navlani, Cornellius Yudha Wijaya

AI and ML
EN
Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI

Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI

A

Brajesh De

AI and ML
EN
AI Agent Mastery with Claude AI: A Practical Guide to Building Smart Systems That Plan, Reason, and Execute

AI Agent Mastery with Claude AI: A Practical Guide to Building Smart Systems That Plan, Reason, and Execute

A
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
A Beginner's Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs

A Beginner's Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs

A

Deepshikha Bhati, Fnu Neha, Angela Guercio, Md Amiruzzaman, Aloysius Bathi Kasturiarachi

AI and ML
EN
Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications

Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications

A

Bharath Kumar Bolla, Kalpa Subbaiah, Sashi Kiran Kaata

AI and ML
EN
Getting Started with Visual Studio 2026: Master the New Era of Visual Studio, AI, and Productivity

Getting Started with Visual Studio 2026: Master the New Era of Visual Studio, AI, and Productivity

A

Gerald Versluis

AI and ML
EN
Microsoft Fabric Analytics Engineer Associate Study Guide: Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam

Microsoft Fabric Analytics Engineer Associate Study Guide: Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam

A

Brian Bønk and Valerie Junk

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
EN
Python for Excel: A Modern Environment for Automation and Data Analysis

Python for Excel: A Modern Environment for Automation and Data Analysis

A

Felix Zumstein

AI and ML
EN
Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

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Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende, Bas Harenslak

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
The Copilot Compass: Navigating Copilot and Agents in Microsoft 365

The Copilot Compass: Navigating Copilot and Agents in Microsoft 365

A

April Dunnam

AI and ML
EN
Data Engineering for Beginners

Data Engineering for Beginners

A

Chisom Nwokwu

AI and ML
EN
Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib

Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib

A

Bernd Klein

AI and ML
EN
Introduction to Psychophysics with Python

Introduction to Psychophysics with Python

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Rakesh Sengupta, Maganti Madhavilatha

AI and ML
EN
BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and Generative AI Assistance

BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and Generative AI Assistance

A

Di Wu

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

Tomaž Bratanič, Oscar Hane

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
Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

A

Dilyan Grigorov

AI and ML
EN
Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

A

Filippo Biscarini, Nelson Nazzicari

AI and ML
EN
Image Processing with Python: Theory, Practice, and Applications

Image Processing with Python: Theory, Practice, and Applications

A

Erik Cuevas, Alma Nayeli Rodriguez-Vazquez, Beatriz A. Rivera-Aguilar, Jesús A. López-Luquín, Carlos Guzmán-Rosales

AI and ML
EN
Practical Neural Networks in Python and MATLAB

Practical Neural Networks in Python and MATLAB

A

Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun, Ardashir Mohammadzadeh

AI and ML
RU
Claude Code: The Complete Guide to the AI Assistant for Developers

Claude Code: The Complete Guide to the AI Assistant for Developers

A

Ranas Mukminov

AI and ML
EN
Generative AI on Kubernetes: Operationalizing Large Language Models

Generative AI on Kubernetes: Operationalizing Large Language Models

A

Roland Huß, Daniele Zonca

AI and ML
RU
Machine Learning. System Design from Idea to Implementation

Machine Learning. System Design from Idea to Implementation

A

Valery Babushkin, Arseniy Kravchenko

AI and ML
EN
Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

A

Kerem Tomak

AI and ML
RU
Generative AI in Practice: Transformers and Diffusion Models

Generative AI in Practice: Transformers and Diffusion Models

A

Ómar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker

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

Lu Lu, Zhang Yujun

AI and ML
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