Here’s a full year-wise (12-month) detailed plan to master Artificial Intelligence from scratch — even if you are starting with just basic coding knowledge. 📚 Full 1-Year AI Learning Roadmap Month 1-2: Foundations (Mathematics + Programming) Mathematics for AI: Linear Algebra: Vectors, Matrices, Matrix multiplication Calculus: Derivatives, Chain Rule, Partial Derivatives Probability and Statistics: Bayes' Theorem, Mean, Variance, Standard Deviation Optimization Basics: Gradient Descent Programming: Master Python (focus on data structures, loops, functions, OOP) Learn libraries: NumPy, Pandas, Matplotlib ✅ Mini project : Matrix calculator Simple data visualizations (bar, scatter plots) Month 3-4: Machine Learning (ML) Basics Core ML Concepts: Supervised Learning (Linear Regression, Logistic Regression) Unsupervised Learning (K-Means, PCA) Model Evaluation (Accuracy, Precision, Recall, F1 Score) Important Algorithms: Decision ...