AI Engineering Starter Kit

The Practical Guide to Build, Train, and Deploy Real AI Applications with LLMs, MLOps, and Cutting-Edge Tools - Step-by-Step Projects for Aspiring AI Engineers.

By: Nathan J. Halridge

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Paperback | 27 October 2025

At a Glance

Format
Paperback

Dimensions(cm)
25.4 x 20.3 x 1.1

Paperback

$73.75

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AI Engineering Starter Kit

A Complete Guide to Learning AI by Building Real Projects and Launching Your Career

Everyone talks about AI breakthroughs, but beginners often face endless tutorials, too much theory, and no real projects to show. This book fixes that.

AI Engineering Starter Kit gives you a clear, structured, and practical path to learn by building real applications and turning knowledge into career assets that employers notice.

Whether you're self-taught, switching fields, or preparing for your first tech job, this guide helps you go from zero to job-ready with hands-on projects, modern tools, and a portfolio that proves your skills.

What You'll Learn

Build and deploy 4 real AI apps from scratch: chatbot, fine-tuning, API deployment, and monitoring.
Master essential tools of modern AI development such as OpenAI API, Hugging Face, Docker, FastAPI, MLflow used in real production environments.
Avoid common beginner traps with no broken code, no vague theory, and no outdated examples.
Accelerate your job search with the Career Kit to present projects, highlight skills, and prepare for interviews.

Inside the Book

â" Project-based learning path - Develop the exact skills hiring managers want, from prompt design to deployment.

â" Bonus #1 - AI Codebase Kit - Full working code, setup guides, and GitHub-ready repositories.

â" Bonus #2 - AI Career Kit - Templates for GitHub, CV, LinkedIn, cover letters, and interview prep.

â" Minimal theory, maximum action - Get only what you need to understand and build fast.

AI Engineering Starter Kit guides you step by step through building, deploying, and showcasing AI projects that stand out in the job market.

Start now!

Stop collecting theory and start building real AI projects with clarity, confidence, and working code.

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