Machine Learning Engineer

Online Course

Udacity

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Machine Learning Engineer

The course Machine Learning Engineer is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.

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

Course description

Machine Learning Engineer
3 months (10 hrs/week)

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. A/B test models and learn how to update the models as you gather more data, an important skill in industry. This program is intended for students who already have knowledge of machine learning algorithms.
Learn advanced machine learning deployment techniques and software engineering best practices.
To optimize your chances of success in this program, we recommend intermediate Python programming knowledge and intermediate knowledge of machine learning algorithms.See detailed requirements.
In this lesson, you’ll write production-level code and practice object-oriented programming, which you can integrate into machine learning projects.
Learn how to deploy machine learning models to a production environment using Amazon SageMaker.
Apply machine learning techniques to solve real-world tasks; explore data and deploy both built-in and custom-made Amazon SageMaker models.
In this capstone lesson, you’ll select a machine learning challenge and propose a possible solution.
Start with the Intro to Machine Learning Nanodegree program.
Start with the Intro to Machine Learning Nanodegree program.

Software Engineering Fundamentals
In this lesson, you’ll write production-level code and practice object-oriented programming, which you can integrate into machine learning projects.
Build a Python Package
Machine Learning in Production
Learn how to deploy machine learning models to a production environment using Amazon SageMaker.
Deploy a Sentiment Analysis Model
Machine Learning Case Studies
Apply machine learning techniques to solve real-world tasks; explore data and deploy both built-in and custom-made Amazon SageMaker models.
Plagiarism Detector
Machine Learning Capstone
In this capstone lesson, you’ll select a machine learning challenge and propose a possible solution.
Capstone Proposal and Project
To optimize your chances of success in this program, we recommend intermediate Python programming knowledge and intermediate knowledge of machine learning algorithms.

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.
Students in the Machine Learning Engineer Nanodegree program will learn about machine learning algorithms and crucial deployment techniques, and will be equipped to fill roles at companies seeking machine learning engineers and specialists. These skills can also be applied in roles at companies that are looking for data scientists to introduce machine learning techniques into their organization.
This program assumes that you are familiar with common supervised and unsupervised machine learning techniques. As such, it is geared towards people who are interested in building and deploying a machine learning product or application. Are you interested in deploying an application that is powered by machine learning? If so, then this program is right for you.

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Prerequisites & Facts

Machine Learning Engineer

Course Topic

Personal Development, Personal Transformation

University, College, Institution

Udacity

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Machine Learning Engineer

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udacity

Machine Learning Engineer

provided by Udacity

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School: Udacity

Topic: Computer Science, Machine Learning

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