Building My AI Learning System (Instead of Chasing Tutorials)

🚀 The Problem

For a long time, I was stuck in a loop:

• Watching random tutorials
• Jumping between topics
• Starting projects but never finishing

It felt productive — but I wasn’t actually improving.

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🧠 The Realization

Learning AI isn’t about more content.
It’s about structured thinking + deliberate practice.

So I decided to build a system instead of chasing tutorials.

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⚙️ My Learning System

1. Core Focus Areas

I narrowed everything into:

• Mathematics (Linear Algebra, Probability)
• Machine Learning Fundamentals
• Deep Learning & LLMs
• MLOps & Deployment

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2. Project-Driven Learning

Instead of passive learning:

✅ Every topic → 1 project
❌ No project → no progress

Examples:

• Build a spam classifier
• Train a small neural network
• Deploy a model using an API

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3. Feedback Loop

Each week:

• Review what I learned
• Identify gaps
• Improve weak areas

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🧪 Example Code

# Simple linear model
def predict(x, w, b):
    return w * x + b

print(predict(2, 0.5, 1))