This program introduces students to the foundational concepts of Artificial Intelligence and Data Science, developing essential skills for data analysis and preprocessing, as well as the fundamentals of Machine Learning. Participants explore library installation, development environment setup, and an initial introduction to Python. The course covers data types and sources, the use of visualization and numerical processing tools such as Matplotlib, Seaborn, NumPy, and Pandas. It also includes the study and application of key Machine Learning algorithms, including linear and logistic regression, classification (K-NN, linear SVM, Naive Bayes), and clustering (K-Means, Expectation Maximization). The program culminates with the development and presentation of a final project based on a real-world industry case.