study checklist

An actionable roadmap for studying AI: set clear goals; review math fundamentals (linear algebra, calculus, probability, statistics); learn Python and data handling; cover ML/DL algorithms, model evaluation, and MLOps; explore NLP and computer vision; practice with projects and datasets; mind ethics and bias; use key tools; build a portfolio; track progress with a repeatable study plan.