The AI Builder: Create Generative AI Applications with Python, LangChain, and CuttingEdge Foundation Models
Paperback
Publisher: Independently Published
Published: Apr 23 2026
Pages: 342
Weight: 1.01
Height: 0.71 Width: 6.00 Depth: 9.00
Language: English
Generative AI is changing how software is created.
From intelligent assistants to automated workflows and content generation systems, the ability to build with AI is becoming a core skill for modern developers.
The AI Builder is a practical, hands on guide to creating generative AI applications using Python, LangChain, and modern foundation models.
This book focuses on building complete systems, not just experimenting with prompts.
Why building AI applications is different
Creating real AI products introduces new challenges:
- managing context and memory
- handling unpredictable model outputs
- integrating external data sources
- controlling cost and latency
- ensuring reliability in production
This book shows you how to design systems that solve these problems.
What you will learn
- fundamentals of generative AI systems
- prompt engineering strategies that work
- building applications with LangChain
- retrieval augmented generation systems
- connecting LLMs to databases and APIs
- designing multi step AI workflows
- managing memory and conversation state
- evaluating and improving output quality
- optimizing performance and cost
- deploying scalable AI applications
From idea to working AI product
Throughout the book, you will learn how to:
- turn ideas into functional AI applications
- design robust system architectures
- integrate AI into real software workflows
- build pipelines for data and inference
- create reliable user facing AI systems
- deploy and monitor applications in production
Each chapter is focused on real development workflows.
Practical applications
- AI powered SaaS tools
- intelligent chatbots and assistants
- document processing systems
- automated content generation
- knowledge retrieval platforms
- workflow automation tools
These examples reflect modern AI use cases.
Who this book is for
- developers and engineers
- AI enthusiasts
- startup founders
- product builders
- professionals creating AI applications
If you want to move from experimentation to building real generative AI products, this book provides the roadmap.
Build with purpose.
Design intelligently.
Launch AI applications with confidence.
Also from
Boozman, Richard
Programación profesional en Lua: Cómo diseñar sistemas embebidos y de juegos de alto rendimiento
Boozman, Richard
Paperback
Agents at Work: Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python
Boozman, Richard
Paperback
Tiny but Mighty: Edge AI Engineering: Quantization, Pruning, and On-Device ML for Embedded Systems
Boozman, Richard
Paperback
Kotlin Craft: Professional Android Development: Architecture, Coroutines, and Production Practices
Boozman, Richard
Paperback
Swift and Sure: Building Beautiful, High-Performance iOS Applications with SwiftUI and Swift Concurrency
Boozman, Richard
Paperback
iOS at Speed: Performance Engineering, Profiling, Memory Management, and Optimization for Apple Platforms
Boozman, Richard
Paperback
Reward and Learn: Practical Reinforcement Learning for Autonomous Agents, Games, and Robot Control
Boozman, Richard
Paperback
Lua für Anfänger: Wie man einfache Skriptsprachen für Spiele, Apps und eingebettete Systeme lernt
Boozman, Richard
Paperback
See, Read, Reason: Building Multimodal AI Applications That Understand Images, Text, and Audio Together
Boozman, Richard
Paperback
Guía intermedia de Gleam: Cómo construir sistemas concurrentes y tolerantes a fallos con confianza
Boozman, Richard
Paperback
Programación profesional de Gleam: Cómo diseñar sistemas a gran escala con precisión de tipos.
Boozman, Richard
Paperback
Nim para principiantes: Cómo aprender un lenguaje flexible y moderno que combine conceptos de Python y Ada
Boozman, Richard
Paperback
Guía intermedia de Lua: Cómo crear scripts de juegos y extender aplicaciones con Lua
Boozman, Richard
Paperback
Lua para principiantes: Cómo aprender scripting ligero para juegos, aplicaciones y sistemas embebidos
Boozman, Richard
Paperback
Guía intermedia de OCaml: Cómo aplicar OCaml en finanzas, análisis y herramientas de software
Boozman, Richard
Paperback
Programación profesional en OCaml: Cómo diseñar sistemas de nivel industrial con OCaml
Boozman, Richard
Paperback
Guía intermedia de Nim: Cómo aplicar Nim en aplicaciones prácticas y de alto rendimiento
Boozman, Richard
Paperback
Programación profesional de Nim: Cómo diseñar sistemas complejos con flexibilidad y velocidad
Boozman, Richard
Paperback
OCaml para principiantes: Cómo aprender programación funcional e imperativa en la JVM
Boozman, Richard
Paperback
Professionelle NimProgrammierung: Wie man komplexe Systeme flexibel und schnell entwickelt
Boozman, Richard
Paperback
Nim für Anfänger: Wie man eine flexible, moderne Sprache erlernt, die Python- und Ada-Konzepte vereint
Boozman, Richard
Paperback
Nim-Leitfaden für Fortgeschrittene: Wie man Nim für praktische und leistungsstarke Anwendungen einsetzt
Boozman, Richard
Paperback
OCaml für Anfänger: Wie man funktionale und imperative Programmierung auf der JVM lernt
Boozman, Richard
Paperback
OCaml-Leitfaden für Fortgeschrittene: Anwendung von OCaml in den Bereichen Finanzen, Analyse und Softwareentwicklung
Boozman, Richard
Paperback
Professionelle OCamlProgrammierung: Wie man mit OCaml Systeme für den industriellen Einsatz entwickelt
Boozman, Richard
Paperback
Gleam für Anfänger: Wie man die BEAM VM mit einer typsicheren Sprache für nebenläufige Systeme nutzen kann
Boozman, Richard
Paperback
Gleam Leitfaden für Fortgeschrittene: Wie man mit Zuversicht parallele und fehlertolerante Systeme entwickelt
Boozman, Richard
Paperback
Professionelle Gleam-Programmierung: Wie man großtechnische Systeme mit typsicherer Präzision entwickelt
Boozman, Richard
Paperback
Lua-Leitfaden für Fortgeschrittene: Wie man Spielskripte erstellt und Anwendungen mit Lua erweitert
Boozman, Richard
Paperback
Compose Yourself: Modern Android UI Development with Jetpack Compose, State Management, and Animation
Boozman, Richard
Paperback
One Codebase, Every Platform: Kotlin Multiplatform in Production: Sharing Business Logic Across iOS, Android, and Web
Boozman, Richard
Paperback
Lock It Down: Mobile Security Engineering: Protecting iOS and Android Applications from Real Threats
Boozman, Richard
Paperback
Flutter Everywhere: Cross-Platform Mobile Engineering for iOS, Android, and Web from a Single Codebase
Boozman, Richard
Paperback
Native by Nature: Building High-Performance, Native-Feel Mobile Apps with React Native and Expo
Boozman, Richard
Paperback
Der 30-Tage-Python-Sprint: Ein Leitfaden für Anfänger zur professionellen Kompetenz
Boozman, Richard
Paperback
El sprint de Python de 30 días: Guía para principiantes sobre competencia profesional
Boozman, Richard
Paperback
La lógica del código: Piensa como un programador antes de escribir una sola línea
Boozman, Richard
Paperback
Stream Everything: Real-Time Data Processing, Event-Driven Architectures, and Kafka Engineering with Python
Boozman, Richard
Paperback
Learn from Data: Statistical Machine Learning with Python: Regression, Classification, and Neural Nets
Boozman, Richard
Paperback
LLM Engineer: Build, Fine-Tune, and Deploy Production-Grade AI Applications with Python and Modern LLMs
Boozman, Richard
Paperback
See Like a Machine: Computer Vision Mastery with PyTorch: Detection, Segmentation, and Real-Time Inference
Boozman, Richard
Paperback
From Model to Market: MLOps Engineering: Versioning, Monitoring, and Deploying AI Models in Production
Boozman, Richard
Paperback
LLM-Ingenieur: Erstellen, optimieren und bereitstellen Sie produktionsreife KI-Anwendungen mit Python und modernen LLMs.
Boozman, Richard
Paperback
Abschliessen: Mobile Sicherheitstechnik: Schutz von iOS- und Android-Anwendungen vor realen Bedrohungen
Boozman, Richard
Paperback
Aus Daten Lernen: Statistisches maschinelles Lernen mit Python: Regression, Klassifizierung und neuronale Netze
Boozman, Richard
Paperback
Verantwortungsbewusst Es Design: KI-Sicherheit, Ausrichtung und Vertrauensentwicklung für produktive maschinelle Lernsysteme
Boozman, Richard
Paperback
Belohnen Und Lernen: Praktisches Reinforcement Learning für autonome Agenten, Spiele und Robotersteuerung
Boozman, Richard
Paperback
Analytics Engineer: dbt, SQL Modeling, and Modern Data Transformation for Business Intelligence Teams
Boozman, Richard
Paperback
