This AI and Machine Learning course introduces students to the core concepts, tools, and techniques of artificial intelligence and machine learning. Over the course of 9 weeks, participants will explore topics such as supervised and unsupervised learning, data preprocessing, model evaluation, and deployment strategies. Through practical exercises and projects, students will learn to build, train, and optimize models using popular frameworks like TensorFlow and scikit-learn. By the end of the course, students will have the skills to apply machine learning techniques to solve real-world problems and pursue roles in data science and AI development.

Coming Soon!