AWS - Machine Learning Engineer

4.5 /5

Machine Learning Engineer
at
UDACITY
Overview

Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.

Duration	3 months
Mode of learning	Online
Schedule type	Self paced
Difficulty level	Intermediate
Credential	Certificate
Future job roles	Senior Data Analyst, Data Architect, Senior Business Analyst , Assistant Vice President - IT Knowledge Banking , E Commerce Analyst

Machine Learning Engineer

Table of contents

Skills you will learn

Who should do this course?

This program is intended for students who already have knowledge of machine learning algorithms.

What are the course deliverables?

Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment.
Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models.

More about this course

As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you?ll learn how to create an end-to-end machine learning product. You?ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.