Scheduling problems arise in various areas, including business, engineering, healthcare, and others. In this tutorial, we will first present several scheduling problems and case studies from various application domains, such as project scheduling, production planning and scheduling, employee scheduling, and timetabling. We will then provide an overview of different AI methods for solving such problems. The topics covered will include solver-independent modeling, constraint programming, metaheuristic methods, and hybrid techniques. In the second part of the tutorial, we will discuss methods that use machine learning techniques for automatic algorithm selection and heuristic algorithm design. We will demonstrate the application of these techniques in several real-world domains.