You are tasked with utilizing Azure Machine Learning's Hyperdrive feature to optimize hyperparameters for a model training process. The hyperparameters to be evaluated include a learning rate (ranging between 0.001 and 0.1) and batch sizes of 16, 32, or 64. Determine the appropriate parameter expressions required to configure the Hyperdrive experiment's search space.