Foundations of Artificial Intelligence and Machine Learning

This program is tailored for beginners and aims to provide a comprehensive introduction to the fundamental concepts of Artificial Intelligence. It specifically focuses on both supervised and unsupervised Machine Learning algorithms, such as regression, classification, and clustering. The course will also introduce students to data processing using Python, utilizing powerful libraries like NumPy, Pandas, and Scikit-learn.

Throughout the course, students will gain hands-on experience in building and evaluating simple models. They will learn how to implement algorithms that can analyze and interpret complex datasets, a crucial skill in today’s data-driven world. By the end of the program, participants will have a solid foundation in AI and Machine Learning, equipping them with the necessary skills to further explore these fields or apply them in various professional contexts. This course promises to be an excellent starting point for anyone looking to dive into the exciting realm of artificial intelligence and data science.