Table of Contents

AI/ML Builder’s Companion Book (Vol. 1)

Mastering AI/ML Projects on a Budget: From Concept to Cloud

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Contents

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📖 Preface

• Why This Book Exists
• Who Should Read This
• From Idea to Infrastructure: How This Book Was Born
• What You’ll Learn (and What You Won’t)
• How to Read This Book (Even if You’re Just Starting Out)

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Part I – Foundations

     Chapter 1: Understanding the Landscape of AI/ML Projects
     Chapter 2: Essential Tools & Technologies

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Part II – Step-by-Step AI/ML Project Development

     Chapter 3: Setting Up Your Project Repository
     Chapter 4: Building the ML Logic
     Chapter 5: Building the Frontend UI
     Chapter 6: Integrating with Paid APIs

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Part III – Deployment on Free-Tier Services

     Chapter 7: Backend Deployment Options
     Chapter 8: Frontend Deployment Options
     Chapter 9: Fullstack Integration Walkthrough

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Part IV – Cost-Optimized Strategies

     Chapter 10: How to Stay Within Free Tiers
     Chapter 11: Investing Smartly in Paid APIs
     Chapter 12: Scaling Beyond Free Tiers

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Part V – Recommendations & Roadmap

     Chapter 13: Choosing the Right Path Forward
     Chapter 14: Case Studies & Templates

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