Explore the fascinating world of fluid dynamics through a comprehensive 6-hour video series. Delve into machine learning applications for fluid mechanics, patterns, models, and control. Gain a deep understanding of turbulence, its prevalence in everyday life, and canonical flows. Learn about Reynolds Averaged Navier-Stokes equations and turbulence closure models. Discover cutting-edge techniques like deep learning for turbulence modeling and reinforcement learning for fluid dynamics control. Investigate advanced topics such as robust principal component analysis, modal decompositions, and data-driven modeling of traveling waves and morphing wings. Examine energy-optimal trajectories in unsteady flows, synchronization in turbulent flows, and data-driven resolvent analysis.