Practical Data Science with Amazon SageMaker teaches you how to use Amazon SageMaker to cover the different stages of a typical data science process.
This includes everything from analysing and visualising a data set, preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.
You’ll learn how to solve a real-world use case with machine learning, producing actionable results with Amazon SageMaker.
This course is delivered in-person by a certified AWS trainer. Instructor led classroom training has been shown to deliver the best learning outcomes.