The Google Professional Machine Learning Engineer certification lets prospective employers know that you have the knowledge to design, build, and productionize machine learning models to solve business challenges using Google Cloud technologies, and knowledge of proven ML models and techniques.

In this fourth course in the certification prep series, instructor Noah Gift covers topics relating to developing machine learning models. He shows you how to build models using TensorFlow, explains the concepts of overfitting versus underfitting, and how to select the right evaluation metrics. Noah then explains how to train modes, including the advantages of transfer learning. Finally, learn about scaling model training and serving, including how to build a microservice and deploy it with Rust on Google App Engine.