The 4 Best MLOps Courses and Online Training for 2021

The Best MLOps Courses and Online Training

The editors at Solutions Review have compiled this list of the best MLOps courses and online training to consider.

SR Finds 106MLOps (short for machine learning operations) is the process of taking a model developed in an experimental environment and putting it into a production web system. When an application is ready to be launched, MLOps is coordinated between data science professionals, DevOps and machine learning engineers to transition the algorithm into production. A key characteristic of MLOps is to increase automation and improve the quality of production machine learning while keeping compliance requirements in check.

With this in mind, we’ve compiled this list of the best MLOps courses and online training to consider if you’re looking to grow your data science and machine learning skills for work or play. This is not an exhaustive list, but one that features the best MLOps courses and online training from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well.

The Best MLOps Courses

MLOps (Machine Learning Operations) Fundamentals

Platform: Coursera

Description: This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

Go to training

Applied Machine Learning: Foundations

Platform: LinkedIn Learning

Description: In this course, the first installment in the two-part Applied Machine Learning series, instructor Derek Jedamski digs into the foundations of machine learning, from exploratory data analysis to evaluating a model to ensure it generalizes to unseen examples. Instead of zeroing in on any specific machine learning algorithm, Derek focuses on giving you the tools to efficiently solve nearly any kind of machine learning problem.

Go to training

Demistifying Machine Learning Operations (MLOps)

Platform: Pluralsight

Description: In this course, Demystifying Machine Learning Operations (MLOps), you’ll learn to implement machine learning operations into your machine learning project. First, you’ll explore how to apply machine learning operations (MLOps) practices for your infrastructure. Next, you’ll discover how machine learning operations (MLOps) during model development. Finally, you’ll learn how to apply machine learning operations (MLOps) after model deployment.

Go to training

Become a Machine Learning Engineer for Microsoft Azure Nanodegree

Platform: Udacity

Description: In this program, students will enhance their skills by building and deploying sophisticated machine learning solutions using popular open source tools and frameworks, and gain practical experience running complex machine learning tasks using the built-in Azure labs accessible inside the Udacity classroom.

Go to training

NOW READ: The Best MLOps Books on Our Reading List

Solutions Review participates in affiliate programs. We may make a small commission from products purchased through this resource.
Follow Tim

Timothy King

Editorial Director at Solutions Review
Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
Timothy King
Follow Tim