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Build an AI Quiz Generator with Python

Create quizzes, validate AI output, export printable worksheets, and build a Django web app.

This book is 100% completeLast updated on 2026-05-26
Mike Gold

Stop building throwaway AI demos and ship something people can actually use. In this book, you’ll evolve a Python quiz engine from a clean CLI into a production-style app with structured AI output, validation, storage, PDF export, and a Django web interface. If you love practical architecture, smart automation, and turning raw model output into reliable software, this project is pure catnip.

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About the Book

Build a real AI product, not another toy prompt script. This book takes you from a bare Python CLI to a full quiz engine with schema-validated AI output, robust error handling, persistence, PDF worksheet export, and a Django web app on top of the same reusable core. Along the way, you’ll design clean module boundaries, tame unpredictable model responses with strict data contracts, and ship features chapter by chapter like an actual engineering team. If you like APIs, automation, practical architecture, and seeing elegant code turn into something people can use, this is your

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DjangoArtificial Intelligence

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About the Author

Mike Gold

I have been developing software for over 20 years and worked as a consultant in the banking, manufacturing, healthcare, finance, and military industries. I am a former Microsoft MVP and have a background in Electrical Engineering. I've contributed over 200 articles on .NET/C# technology and have lately been working fullstack with .NET Core and ReactJS

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Episode 249

An Interview with Mike Gold

Contents

Table of Contents

Chapter 1: Build an AI Quiz Generator with Python

  1. Create quizzes, validate AI output, export printable worksheets, and build a Django web app.
  2. Who This Book Is For
  3. How the Project Works
  4. The Project
  5. What You Need Before Starting
  6. Chapter 1 Review

Chapter 2: Setting Up the Project

  1. Software Requirements
  2. Create the Project Folder
  3. Create a Virtual Environment
  4. Add Dependencies
  5. Prepare the API Key
  6. Create a Setup Test
  7. Chapter 2 Review

Chapter 3: Designing the Quiz Format

  1. Why the Format Matters
  2. The First Version of the Models
  3. Strengthening the Model
  4. Why This Helps the AI Part
  5. Chapter 3 Review

Chapter 4: Calling the AI API

  1. What We Are Building in This Chapter
  2. Are We Just Generating JSON?
  3. The Role of ai_client.py
  4. Testing the API Call
  5. Chapter 4 Review

Chapter 5: Validating AI Output

  1. Why We Need Another Validation Layer
  2. Writing the validate_quiz Function
  3. Updating ai_client.py
  4. Testing the Validator with a Good Quiz
  5. Using the Validator in main.py
  6. Running the Full Flow
  7. What This Validator Does Not Do Yet
  8. Why This Chapter Matters Later
  9. Chapter 5 Review

Chapter 6: AI-Assisted Quiz Review

  1. Creating Review Models
  2. Why This Should Be Optional
  3. Chapter 6 Review

Chapter 7: Saving and Loading Quizzes

  1. Why Save Quizzes as JSON?
  2. What We Are Building in This Chapter
  3. The quizzes Folder
  4. Connecting Storage to the Main Program
  5. Loading a Saved Quiz from main.py
  6. Chapter 7 Review

Chapter 8: Playing the Quiz in the Terminal

  1. Building the Terminal Player
  2. Why Build a Terminal Player First?
  3. Testing the Terminal Player with a Manual Quiz
  4. Connecting the Terminal Player to Saved Quizzes
  5. Running the Full Program
  6. Why This Chapter Matters
  7. Chapter 8 Review

Chapter 9: Exporting a Printable Quiz as a PDF

  1. Building the PDF Exporter
  2. Why Use ReportLab?
  3. Testing the PDF Exporter
  4. Connecting PDF Export to main.py
  5. Running the Full PDF Export Flow
  6. Why This Chapter Matters
  7. Chapter 9 Review

Chapter 10: Making the Generator Smarter

  1. Smarter Quiz Generation
  2. Testing the Smarter Generator
  3. What This Chapter Adds
  4. Chapter 10 Review

Chapter 11: Turning It Into a Django Web App

  1. Building the Django Web App
  2. Why Django?
  3. Run the Web App
  4. What We Did Not Build Yet
  5. Why This Chapter Matters
  6. Chapter 11 Review

Chapter 12: Next Steps

  1. Planning Your Next Version
  2. What You Have Learned
  3. Final Thoughts

Appendix: Quick Reference and Next Steps

  1. Source Code for This Book
  2. A. Environment Setup Quick Reference
  3. B. .env and API Configuration
  4. C. Common Errors and Fixes
  5. D. Test and Validation Commands
  6. E. Project Structure Map
  7. F. Data Model Reference
  8. G. Prompt and AI Usage Notes
  9. H. Database Storage Patterns
  10. I. PDF Export Customization Cheatsheet
  11. J. Deployment Starter Checklist
  12. K. Glossary
  13. L. Next Steps Build Paths
  14. Final Appendix Note

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