Books — generative AI

EN
Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering

Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering

A

Oswald Campesato

AI and ML
EN
Generative AI: Navigating the Course to the Artificial General Intelligence Future

Generative AI: Navigating the Course to the Artificial General Intelligence Future

A

Martin Musiol

AI and ML
EN
Machine Learning and Generative AI for Marketing

Machine Learning and Generative AI for Marketing

A

Yoon Hyup Hwang, Nicholas C. Burtch

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
Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice

Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice

A

Tom Taulli

DevOps and Infrastructure
EN
Hands-On AWS CDK: Building Cloud Native Applications with Infrastructure as Code

Hands-On AWS CDK: Building Cloud Native Applications with Infrastructure as Code

A

Sam Ward Biddle, Kyle T. Jones

DevOps and Infrastructure
EN
Mastering LangChain: A Comprehensive Guide to Building Generative AI Applications

Mastering LangChain: A Comprehensive Guide to Building Generative AI Applications

A

Sanath Raj B Narayan, Nitin Agarwal

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
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
Generative AI in Higher Education: The ChatGPT Effect

Generative AI in Higher Education: The ChatGPT Effect

A

Cecilia Ka Yuk Chan, Tom Colloton

AI and ML
EN
Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems

Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems

A

Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez

DevOps and Infrastructure
EN
Building Generative AI Agents Using LangGraph, AutoGen, and CrewAI

Building Generative AI Agents Using LangGraph, AutoGen, and CrewAI

A

Tom Taulli, Gaurav Deshmukh

AI and ML
EN
Build Financial Software with Generative AI (From Scratch)

Build Financial Software with Generative AI (From Scratch)

A

Christopher Kardell, Mark Brouwer

AI and ML
EN
Building Generative AI-Powered Apps: A Hands-on Guide for Developers

Building Generative AI-Powered Apps: A Hands-on Guide for Developers

A

Aarushi Kansal

AI and ML
RU
Cronin I. - Building and Training Generative AI Models - 2026

Cronin I. - Building and Training Generative AI Models - 2026

A
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
EN
Hands-On APIs for AI and Data Science

Hands-On APIs for AI and Data Science

A

Ryan Day

AI and ML
RU
Solutions Architect’s Handbook: IT Solution Architecture and Design, 3rd Edition

Solutions Architect’s Handbook: IT Solution Architecture and Design, 3rd Edition

A

Саурабх Шривастава, Ниланджали Шривастав

Software Development
RU
Generative AI in Practice: Transformers and Diffusion Models

Generative AI in Practice: Transformers and Diffusion Models

A

Омар Сансевьеро, Педро Куэнка, Аполинарио Пассос, Джонатан Уитакер

AI and ML
RU
Fundamental Approach to Software Architecture. Patterns, Properties, Proven Practices

Fundamental Approach to Software Architecture. Patterns, Properties, Proven Practices

A

Марк Ричардс, Нил Форд

Software Development
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
RU
System Design. Preparing for a Complex GenAI Interview

System Design. Preparing for a Complex GenAI Interview

A

Аминиан Али, Шенг Хао

Software Development
EN
Visualizing Generative AI: How AI Paints, Writes, and Assists

Visualizing Generative AI: How AI Paints, Writes, and Assists

A

Priyanka Vergadia, Valliappa Lakshmanan

AI and ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI and ML
EN
Hands-On Generative AI with Transformers and Diffusion Models

Hands-On Generative AI with Transformers and Diffusion Models

A

Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker

AI and ML
EN
Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

A

V Kishore Ayyadevara, Yeshwanth Reddy

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
Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications

Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications

A

Alireza Parandeh

WEB development
EN
AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

A

Laurence Moroney

AI and ML
EN
Transformers in Action

Transformers in Action

A

Nicole Koenigstein

AI and ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

A

Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI and ML
EN
Introduction to Generative AI: Reliable, responsible, and real-world applications

Introduction to Generative AI: Reliable, responsible, and real-world applications

A

Numa Dhamani, Maggie Engler

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
Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.js

Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.js

A

Tom Auger, Emma Saroyan

WEB development
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 for Game Development: Crafting Narrative Worlds with Machines

Generative AI for Game Development: Crafting Narrative Worlds with Machines

A

Shesh Narayan Gupta

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
EN
Agentic AI for Engineers: Architecting Goal-Driven Systems

Agentic AI for Engineers: Architecting Goal-Driven Systems

A

Dhivya Nagasubramanian

AI and ML
EN
Level Up with Azure AI Foundry: Understanding Innovative AI Development on Azure

Level Up with Azure AI Foundry: Understanding Innovative AI Development on Azure

A

Sagar Lad

DevOps and Infrastructure
EN
Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs

Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs

A

Carlos Rodriguez

AI and ML
RU
RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

A

Дэнис Ротман

AI and ML
RU
Data Analysis with GenAI and Python

Data Analysis with GenAI and Python

A

Артур Гуджа, Марлена Сивяк, Мариан Сивяк

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
GPT-4. A Guide to Using the OpenAI API

GPT-4. A Guide to Using the OpenAI API

A

Аймен Эль Амри

AI and ML
EN
Grokking Relational Database Design

Grokking Relational Database Design

A

Qiang Hao, Michail Tsikerdekis

Databases
EN
Coding with AI: Examples in Python

Coding with AI: Examples in Python

A

Jeremy C. Morgan

Programming languages
EN
Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

A

Andrew Zhu (Shudong Zhu)

AI and ML
EN
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

A

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

AI and ML
EN
Data Without Labels: Practical Unsupervised Machine Learning

Data Without Labels: Practical Unsupervised Machine Learning

A

Vaibhav Verdhan

AI and ML
EN
AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment

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

A

Tom Taulli

AI and ML
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