This course covers everything from AI fundamentals to advanced Neural Networks with hands-on learning. You’ll explore machine learning types, key algorithms, deep learning, and model optimization. The course includes training neural networks, data preprocessing, and techniques for performance improvement. You'll work on real-world datasets with a personalized final project. By the end of this course, you will have a deep understanding of how machine learning models work, be able to build, train, and evaluate your own AI models, have a working machine learning pipeline using real-world data, and be prepared to explore more advanced AI topics.

This course covers Python programming, focusing on data analysis, starting from the basics and building up to more advanced topics like classes. Python is a powerful open-source programming language and one of the most popular worldwide. Its vast ecosystem has libraries and frameworks available for virtually every need. This course will explore how Python can be leveraged to tackle complex challenges. With the Capstone Project, you will learn to manage big data by analyzing a large dataset of parametrized hull geometries. Completing this course will give you the knowledge and skills to understand and write Python code.