Scale-resolving simulation (SRS) methods of practical interest are coarse graining formulations widely used in science and engineering. These models aim to efficiently predict complex flow problems by only resolving the phenomena not amenable to modeling, unleashing the concept of accuracy on demand. This presentation provides an overview of the SRS methods best suited for engineering applications: hybrid and bridging models. It starts by reviewing basic turbulence modeling concepts. Afterward, it overviews hybrid and bridging models, discussing their advantages and limitations. The challenges to the predictive application of these models are enumerated, as well as possible strategies to solve or mitigate them. Several examples are provided to illustrate the potential of these classes of SRS methods. Overall, the review [1] aims to help new and experienced SRS modelers and users obtain predictive turbulence computations. [1] F.S. Pereira - An Overview of Scale-Resolving Simulation Models for Practical Flows. In Coarse Graining Turbulence: Modeling and Data-Driven Approaches and their Applications. Editors: F.F. Grinstein, F.S. Pereira, and M. Germano. Cambriging University Press (to be published in 2024).