Hamza Boulahia

This is a curated list of the books that shaped my journey toward becoming an AI engineer. I have personally read all of these books, and some of them are resources I still return to to this day, whenever I need to revisit a concept. I selected them based on their depth, practicality, and relevance to the rapidly evolving AI landscape. Together, they cover the essential journey from mathematical foundations and machine learning to deep learning, large language models, and building real-world AI systems. You might not need all of them depending on your experience level, so check each book's note before deciding what to pick up.

I present to you my curated collection of the online courses and certifications that I believe provide one of the strongest learning paths for anyone who wants to become an AI engineer.I selected these resources based on their quality, instructors, practical value, and how well they fit together into a structured journey: starting with Python and machine learning fundamentals, moving into deep learning and LLMs, and eventually covering modern AI engineering topics like RAG, AI agents, and building real-world applications.Some of these courses were part of my own learning journey, while others are recommendations based on their curriculum and reputation. My goal here is to help you filter through the overwhelming amount of AI content online and find resources that actually build strong foundations and practical skills.

Welcome to my personal reading list, where every book will make you pause, ponder, and see the world a little differently. From existential dilemmas and psychological insights to ancient Stoic wisdom and dystopian warnings, these 9 books have profoundly changed the way I think about the world. Perfect for anyone looking for a truly impactful read.