Goal: In 12 months, go from Python beginner → building and deploying your own ML/DL models. Study pace assumes 6–8 hrs./week.

🧭 Each week: You’ll get a short lesson plan (concepts + examples + exercises + mini project).
📘 You study & code, and I’ll check your progress, explain unclear parts, and give extra challenges.
💡 By Week 52: You’ll have a complete AI portfolio — from Python fundamentals → real ML/DL → deployed AI apps.

🧠 AI Coding Mastery — 1-Year Weekly Study Plan

🔹 Phase 1: Python Foundations (Weeks 1–8)

Goal: Build rock-solid Python skills for data, algorithms, and projects.

Goal: Learn how to work with real datasets.

Goal: Understand data meaning & decisions behind ML.

Week	Focus	What You’ll Learn	Mini Project
13	🎲 Probability Basics	Randomness, distributions	Dice Probability Simulator
14	📈 Descriptive Stats	Mean, median, variance, z-score	Student Score Analyzer
15	🧪 Hypothesis Testing	t-test, p-value, confidence	A/B Test Simulation
16	📊 Correlation & Causation	Correlation, regression intuition	Stock Correlation Study
17	🧮 Linear Algebra	Vectors, matrices, eigenvalues	Matrix Transform Visualizer
18	⚙️ Optimization	Gradients, cost functions, loss intuition	Gradient Descent Demo