Artificial Intelligence / Machine Learning

Master Artificial Intelligence / Machine Learning is an intensive 4-month program that takes you from core mathematical foundations to building and deploying real machine learning models — no prior AI experience required. You'll begin with the essentials: Python for data science, statistics, and linear algebra, before moving into supervised and unsupervised learning, covering algorithms like regression, decision trees, clustering, and neural networks using libraries such as NumPy, Pandas, and Scikit-learn. You'll then advance into deep learning with TensorFlow and PyTorch, exploring computer vision, natural language processing, and the fundamentals behind today's generative AI systems. Beyond the theory, the program emphasizes practical model building — data preprocessing, feature engineering, model evaluation, and tuning — as well as how to deploy trained models into real applications. You'll also cover the ethical considerations and limitations of AI systems. By the end of the 4 months, you will have built a portfolio of machine learning projects, from predictive models to AI-powered applications, positioning you for roles like Machine Learning Engineer, AI Developer, or Data Scientist.