An applied introduction to the fast-evolving field of artificial intelligence and deep learning. Students will learn to apply supervised deep learning models, with emphasis on data preparation, model evaluation, and the critical use of foundational models such as large language models. The course integrates hands-on practice with machine learning software frameworks while also addressing societal impact, including risks, ethics, and safety.