Applied AI with LLMs

Create, Deploy, and Monetize Intelligent Applications
1. Auflage 2027
ISBN: 979-8-8688-3304-5
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 178 mm x 254 mm

This book is a hands-on guide for builders who want to turn AI into real, working software. With just a bit of Python, you’ll learn how to connect with major LLM APIs like OpenAI, Google, and Anthropic, and create practical tools that solve real problems.

The book begins with a fresh perspective on large language models (LLMs), moving beyond casual chats to focus on automation, APIs, and intelligent microservices. You’ll quickly gain mastery over the essentials—accessing APIs, fine-tuning key parameters, and understanding operational constraints to ensure your projects run reliably. Building on this foundation, you’ll create five fully functional, real-world applications: a Scraper + Telegram Publisher to gather, process, and broadcast live updates; a Smart Email Generator to transform rough notes into polished, professional messages; an Automatic Summarizer to distill PDFs or web pages into concise insights; a Custom Knowledge Chatbot to answer queries from a domain-specific knowledge base; and a Semantic Search for Notes to retrieve information from personal archives using intelligent queries. The book concludes by guiding you through monetization strategies, including business models, deployment approaches, payment integration, and compliance considerations.

is your roadmap for anyone ready to move from idea to working AI products. Whether you’re a developer, tinkerer, or startup founder, you’ll gain the skills to turn LLM capabilities into tangible, market-ready tools.

What you will learn:

• How to connect with major LLM APIs and unlock their potential beyond simple chat.
• How to configure, tune, and reliably run LLM-powered applications.
• What are the techniques for building domain-specific chatbots, summarizers, and automation workflows.
• Practical strategies to monetize your AI projects, from business models to deployment

Who this book is for:

Designed for developers, data scientists, engineers, and AI enthusiasts ready to turn LLMs into real-world applications.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Piccinini, Furio

Ceppellini, Antonio

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Part I – Understanding and Connecting with LLMs.- Chapter 01 – A Different Perspective on LLMs.- Chapter 02 – The Basics of Working with LLM APIs.- Part II – 5 Real-World Projects.- Chapter 03 – Scraper + Telegram Publisher.- Chapter 04 – Smart Email Generator.- Chapter 05 – Automatic Document & Web Page Summarizer.- Chapter 06 – Custom Knowledge Chatbot.- Chapter 07 – Semantic Search for Personal Notes.- Part III – From Idea to Monetization.- Chapter 08 – Sell Your Software.- Chapter 09 – Final Thoughts.

Über Autor(innen)

Furio Piccinini is a seasoned technical author and editor with decades of experience translating and writing software development books. He works as a full-stack developer on large-scale enterprise projects and is passionate about practical AI applications and LLMs. He contributed to the APress book and has co-hosted major technical workshops for Element14.

Antonio Ceppellini is a software engineer specialized in backend development and AI system integration. He follows an API-first and test-driven approach to build simple, robust, and elegant solutions. When he's not experimenting with new technologies and LLMs, you’ll likely find him running ultramarathons high up in the mountains.