This lecture covers the fundamentals of Nonlinear Model Predictive Control (NMPC), discussing the motivations for using NMPC, stability vs. optimality, pitfalls, and examples. It explores the concepts of feedback control, stability, terminal constraints, turnpike properties, and dissipativity in the context of optimal control problems.