Complete AI & Machine Learning course — Python and math prerequisites, ML fundamentals, data preprocessing, supervised and unsupervised learning, model evaluation and tuning, the essential ML libraries, hands-on practical projects, and a foundational tour of deep learning, computer vision, NLP and generative AI. Every topic has notes, a 10-question test, and coding practice.