Nid: 26203 Presentation Goals Requirements Syllabus Methodology Academics Syllabus Week 1 Introduction to artificial intelligence, context, and ethics.Data exploration and descriptive statistics.Programming tools for data manipulation and visualization.Development and presentation of a project using open data. Week 2 Introduction to machine learning.Supervised, unsupervised, and reinforcement learning.Formulation and design of a machine learning-based project.Trends in artificial intelligence, generative AI.Final project presentation.
