AI & Machine Learning

Start with the Python and data handling the field runs on, then work through machine learning foundations: how a model learns from data, why it overfits, and how to tell a good result from a lucky one. From there you move into neural networks and deep learning, and then into the tools reshaping the industry right now, including large language models, prompt engineering, retrieval, and AI agents that call real tools. You finish by building and deploying an application of your own. No mathematics beyond secondary school is assumed, and every session is hands-on with an instructor working alongside you.