The AI Engineer Bootcamp in a Book
Build the Foundations
Build the engineering foundations required to design and develop production-grade AI systems—from Python and FastAPI to databases, security, semantic search, RAG, LLM architecture, and AI application performance.
Go beyond Python programming and start thinking like an AI Engineer.
The AI Engineer — Volume I takes you from professional Python engineering to the foundations of modern AI application development.
You will build the engineering knowledge required to create reliable AI systems—not just experimental notebooks or simple API calls.
A project-based AI engineering book covering Python production engineering, FastAPI, PostgreSQL, authentication, testing, reliability, embeddings, semantic search, RAG, LLM architecture, AI pipelines, caching, and performance optimization.
AI Engineering
AI Engineer
Artificial Intelligence
Generative AI
LLM
Large Language Models
Python
FastAPI
RAG
Retrieval Augmented Generation
Semantic Search
Embeddings
Vector Search
LLM Applications
AI Systems
Machine Learning Engineering
Backend Engineering
Production AI
AI Architecture
Software Engineering
Minimum price
$13.99
$21.99
You pay
Author earns
About
About the Book
The AI Engineer — Volume I: Build the Foundations is the first part of a project-based engineering journey for developers who want to move from traditional Python development into modern AI engineering.
AI engineering is much more than calling an LLM API.
A production AI system requires software architecture, APIs, databases, authentication, testing, reliability engineering, embeddings, semantic search, retrieval-augmented generation, LLM architecture, asynchronous processing, caching, and performance optimization.
This volume builds those foundations step by step.
You will begin by developing the mindset of a production engineer and learn how to structure professional Python projects. From there, you will build production APIs with FastAPI, design persistent data systems with PostgreSQL, implement authentication and authorization, and establish testing and reliability practices.
The book then moves into AI engineering foundations.
You will explore vectors and embeddings, semantic similarity, semantic search, retrieval-augmented generation, tokenization, attention, LLM architecture, context management, model providers, structured outputs, and AI system reliability.
The final part of the volume brings these concepts together into an AI-powered knowledge platform capable of processing technical documents, creating searchable representations, retrieving relevant information, and supporting grounded AI interactions.
What You Will Learn
- How to think like a production AI Engineer
- How to structure professional Python applications
- How to build production APIs with FastAPI
- How to design PostgreSQL database systems
- How authentication and authorization work in production
- How to test AI-enabled applications
- How to debug and engineer reliable systems
- How embeddings represent semantic information
- How semantic search works
- How vector similarity is calculated
- How Retrieval-Augmented Generation works
- How modern LLM applications are architected
- How to design provider-independent AI systems
- How to build AI processing pipelines
- How to handle document ingestion and processing
- How to use caching and background processing
- How to optimize AI application performance
Who This Book Is For
This book is designed for:
- Python developers moving into AI engineering
- Backend developers building AI-powered applications
- Software engineers working with LLMs and GenAI
- Developers interested in semantic search and RAG
- Engineers who want to move beyond AI prototypes
- Students building serious AI engineering projects
- Technical professionals who want a production-oriented understanding of AI systems
This is not a book about using AI as a black box.
It is about understanding the engineering systems built around AI.
By the end of Volume I, you will have the foundations required to continue toward production deployment, cloud infrastructure, Kubernetes, observability, security, scaling, and complete AI system architecture in Volume II.
Learn the foundations. Build the system. Think like an AI Engineer.
Feedback
Bundle
Bundles that include this book
- Pricing
$22.99
Minimum priceBought separately$41.98Suggested price$29.99
Author
About the Author
Ahmed Adawy is an independent author and tech enthusiast passionate about bridging the gap between theoretical science and practical coding. With a focus on applied mathematics, linear algebra, and machine learning, he creates beginner-friendly guides designed to help programmers and students master the core mechanics behind modern AI. His writing breaks down complex academic formulas into clear, actionable Python code.
Contents
Table of Contents
Get the free sample chapters
Click the buttons to get the free sample in PDF or EPUB, or read the sample online here
The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms...
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.