Master FastAPI, ML & AI
the Simple Way

KISS + Kaizen approach: Start simple, improve continuously. No complexity, just clear steps from backend to AI.

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The Simple Philosophy

Two principles that make learning effective

KISS Principle

Keep It Simple, Stupid

  • Start with minimal code
  • One concept at a time
  • No unnecessary complexity
  • Clear, readable examples

Kaizen Method

Continuous Improvement

  • Small, daily improvements
  • Build upon what works
  • Iterate and refine
  • Measure progress

Simple Learning Path

Follow these clear steps from zero to AI

1

Learn FastAPI Basics

Start with the simplest possible API. One endpoint, one response.

2

Add Data Validation

Use Pydantic models. Simple validation, automatic documentation.

3

First ML Integration

Add a simple scikit-learn model. Start with a pre-trained model.

4

Build Simple AI

Add a TensorFlow/Keras model. Use a pre-trained model first.

5

Deploy & Improve

Deploy to production. Monitor, measure, improve continuously.

Essential Resources

All you need, nothing you don't

Continuous Improvements

Small daily improvements lead to mastery

1

Daily Code Practice

Code for 30 minutes every day. Consistency beats intensity.

Start with 15 minutes if 30 feels too much
2

One New Concept Daily

Learn one new FastAPI feature, ML algorithm, or AI concept each day.

Keep notes in a simple text file
3

Build Small Projects

Each week, build one small project combining what you've learned.

Start with a simple prediction API
4

Review & Refactor

Weekly, review your code and make one improvement.

Simplify complex code

Start Simple, Improve Daily

The journey from FastAPI to AI mastery begins with a single step. Follow the KISS principle to avoid overwhelm, and the Kaizen method to make continuous progress.

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