Automating Machine Learning on AWS

The course provides a comprehensive guide on how to build and manage a Machine Learning (ML) pipeline on Amazon Web Services (AWS). Students will gain practical skills through a series of modules covering introduction to ML and ML Pipeline, using Amazon SageMaker, problem formulation, data pre-processing, model training, model evaluation , feature engineering and model tuning, as well as model deployment. The course will conclude with a wrap-up session to review the key concepts covered during the course.

Category: Artificial Intelligence Course

Python Machine