AI Engineering for Developers

Author's note: This book was 100% written by a human, not AIHave you ever looked at the rapid rise of AI and felt... left behind?Maybe you've been worrying that one day soon your job could be automated by AI.Or perhaps you've even tried diving into machine learning, only to get lost in endless math formulas and research papers.If that's you, then you're not alone.Thousands of brilliant developers share this anxiety. With AI moving at such a rapid pace, most have never been given the tools or guidance to adapt.Because the real story behind every AI layoff is not replacement, it's relevance.But here's the good news: turning your fear into opportunity is much easier than you think.You don't need a PhD. You don't need years of experience in machine learning research.And you certainly don't need to suffer through sleepless nights wondering if you'll ever "e;measure up."e;What you need is a clear, step-by-step path-one that demystifies AI engineering and empowers you to use the skills you already have.That's exactly what this book gives you. Written by best selling tech author Philip Robbins, this book is your practical blueprint for moving from traditional development to AI-powered engineering-in 7 days with a day by day action guide.Inside, you'll discover:// Why most developers are (unknowingly) approaching AI the wrong way-and how to avoid the same trap// The 3 languages that truly matter for AI engineering (you can ignore the rest)// How to design and deploy production-ready AI systems, even if you've never built one before// The "e;RAG technique"e; that makes you indispensable to any company using AI// Why coding bootcamps are quietly failing developers-and the smarter alternative that works// The "e;Portfolio Trinity"e; that attracts recruiters like a magnet// The breakthrough method for building real-world AI agents (not just toy projects)// Proven strategies to pass any AI technical interview-even at top-tier companiesBONUSES: 1. Interview prep and tech assessment guide: inspiring case studies, hands-on guidance, and confidence-building frameworks with real interview questions.2. GitHub Repository: Every code example in the book, ready to run. Scan the QR code provided in the book and start building in minutes.[Approved and edited by a Ph.D in Artificial Intelligence (AI & NLP Researcher) Dr Manju Vallayil, Auckland University of Technology.]