What is a key benefit of using AutoML tools in AWS?

The key benefit of using AutoML tools in AWS is that they automate the model training process. This automation allows users to build machine learning models without needing to go through the detailed and often complex steps typically involved in model training.

With AutoML, users can simply provide their datasets, and the tool takes care of selecting the best algorithms, tuning hyperparameters, and validating the models. This drastically reduces the time and effort required to develop machine learning solutions, making it accessible not only to experienced data scientists but also to those who may not have a strong background in programming or machine learning.

The other options, while related to the context of machine learning, do not accurately capture the primary advantage of AutoML tools. They still require datasets for training, they do not necessitate extensive coding knowledge for basic usage, and their focus is not solely on optimizing hardware resources. Instead, the core strength of AutoML lies in streamlining the model development process.