This course will allow students to demonstrate the ability through hands-on exercises to perform the following: explain problem solving methods, discuss language basics, explain variables and data structures (strings, lists, dictionaries), apply flow control and function definition, apply best-practices designing and developing programs, use modules in Python and apply object-oriented programming.

In this beginner-friendly course, learners discover how machines learn from data and power today's Artificial Intelligence. They explore how Machine Learning (ML) works, experiment with simple models, and gain an understanding of the major types of ML like supervised, unsupervised, and reinforcement learning, throughinteractive examples. The course also introduces the ethical dimensions of intelligent systems, emphasizing bias, fairness, and accountability. By the end of the course, learners develop a clear understanding of emerging career pathways in AI, ML, and data analytics, gaining the confidence to continue their growth in this high-demand field.