This comprehensive 16-week course provides a deep dive into the fundamentals and advanced concepts of Artificial Intelligence and Machine Learning. Students will begin with foundational AI/ML principles, Python programming, and essential tools before progressing to data preprocessing, exploratory data analysis, and classical machine learning techniques. The course then covers deep learning fundamentals, including neural networks, CNNs, RNNs, and transformers for NLP. Advanced topics such as reinforcement learning and generative models are explored, followed by practical deployment strategies using MLOps, cloud platforms, and Docker. The course culminates with a hands-on capstone project, integrating ethical considerations and responsible AI development practices.