Artificial Intelligence (AI) and Machine Learning (ML) involve the core concepts, tools, and techniques used to build systems that can learn from data and make decisions. This includes topics like data preprocessing, supervised and unsupervised learning, neural networks, and real-world applications such as recommendation systems, image recognition, and predictive analytics. These fields combine theory with hands-on practice using popular tools like Python, enabling the development and deployment of intelligent models across various industries.