
Erick Galinkin
Principal AI Researcher
Merge cloud infrastructure with DevOps practices on Microsoft Azure. This Nanodegree program covers how to deploy, test, and monitor applications while mastering infrastructure as code, CI/CD pipelines, and quality assurance.

Subscription · Monthly
46 skills
4 prerequisites
Prior to enrolling, you should have the following knowledge:
You will also need to be able to communicate fluently and professionally in written and spoken English.
3 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Erick Galinkin
Principal AI Researcher

Noah Gift
Founder of Pragmatic AI Labs

Nathan Anderson
DevOps Engineer, Goodyear Tire & Rubber Company
From course 1 to course 4 the content was good and interesting but the author of the course 5 did so poor job with course 5 that I lost all the interest. Course 5 just asks to write .txt files, etc and call it a MLops course. Also, Python APIs was introduced in course 4 but explained in course 5.
Jun 2, 2026
One of the best hands on learning journy i had.
Sep 10, 2025
ML DevOps Engineer was a great learning experience for me. Interesting & useful projects. I recommend strongly this nanodegree !
Jan 9, 2025
Some of the packages are outdated, and the code provided contains deprecated function that is hard to debug, there is also repeated contents between modules. The last section’s project is not well written.
Jan 8, 2025
The nanodegree is a systematic approach for someone acquainted with ML and DL in Jupyter notebooks to transition into real-world production. Of course, this being a self-paced nanodegree, your motivation is what matters at the end.
Dec 19, 2023

Subscription · Monthly