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From Software Developer to Staff AI Engineer (Volume I: AI Engineering Foundations)

The definitive production engineering manual covering Professional Python, Advanced SQL, PostgreSQL, Redis, FastAPI, Docker, CI/CD, and backend systems for AI Engineers.
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About the Book
Volume I — AI Engineering Foundations — is engineered to approximately 300 pagesacross 19 chapters. It is one of six volumes in The Complete AI Engineering Handbook(2026-2028 Edition). This volume assumes working proficiency in Python and SQL; it doesnot teach programming fundamentals. Its purpose is to bring a working software engineerto the baseline expected of a production AI engineer at a top-tier technology company —the layer of infrastructure, tooling, and engineering discipline that every later volume(Computer Science, Machine Learning, LLM Engineering, Production AI, Career Mastery)assumes you already have.Each chapter follows the standard 21-section handbook template: introduction, industryrationale, core concepts, internal architecture, production architecture, industry bestpractices, design tradeoffs, performance, security, scalability, common mistakes, hands-onexamples, a mini project, a production project, interview questions, resume bullets, GitHubportfolio strategy, senior engineer notes, a revision sheet, exercises, and further reading.Chapters are written at full depth and appended in order as completed.Chapter Roadmap# Chapter Title Pages Type Status0 How to UseThis Book &The AI EngineerCareer Map10 Front Matter Written1 ProfessionalPython for AIEngineers22 Core Written2 Advanced SQLfor AIEngineers20 Core Written3 50 SQL 18 Reference Written.
About the Author
Hi, I am Kritika Choudhary, an AI Engineer from IIT Roorkee, one of the top institutes of India. As I learn and grow in my AI Engineering journey, I find myself in a lot of confusion about what to study, what to skip and how to actually become industry-ready. I wrote this handbook so you don’t have to learn the hard way like I did. Whether you are a college student, preparing for interviews at big tech companies or trying to become an AI Engineer, I hope this book provides you with a complete roadmap and helps you learn with more clarity and confidence.
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