Core Concepts:
Introduction to AI and Full Stack AI Engineering.
Python Programming for AI.
Probability, Statistics, and Linear Algebra basics
Tools:
Python, Jupyter Notebooks, Git
Project: Data wrangling and exploratory data analysis on a public dataset (e.g., Kaggle or UCI).