This workshop will serve as basic introduction to hyper-parameter tuning algorithms in an optimization perspective. Throughout this workshop, I will try to cover the following topics, namely: Introduce automated machine learning, introduce hyper-parameter tuning in automated machine learning context, introduce some popular hyper-parameter tuning packages in Python, and finally introduce some easy-to-start-with hyperparameter tuning algorithms: grid search and random search with toy examples.