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Important Note: The intention of this course is to teach MLOps fundamentals and not Azure ML. Azure demo section is included as a proof to show the working of an end–to–end MLOps project. All the codes involved in pipeline are explained though.
MLOps is a culture with set of principles, guidelines defined in machine learning world for smooth implementation and productionization of Machine learning models.
Data scientists have been experimenting with machine learning models from long time, but to provide the real business value, they must be operationalized i.e. push the models to production. Unfortunately, due to the current challenges and an non systemization in ML lifecycle, 80% of the models never make it to production and remain stagnated as an academic experiment only.
Machine Learning Operations (MLOps), emerged as a solution to the problem, is a new culture in the market and a rapidly growing space that encompasses everything required to deploy a machine learning model into production.
As per the tech talks in market, 2021 is the year of MLOps and would become the mandate skill set for Enterprise ML projects.
What’s included in the course ?
MLOps core basics and fundamentals.
What were the challenges in the traditional machine learning lifecycle management.
Specification: MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo
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13 reviews for MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 3 hours |
| Year | 2021 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$12.99
Firat Akcoray –
Amazing 5 star course.
Julian Lindner –
At first you get a very high level introduction to the topic of MLOps. After that a short ( 10 Minutes introduction to MS Azure is given). To try anything yourself you would neet an MS Azure account. The author did not write one line of code himself. Insted he used an existing Tutorial created by Microsoft and goes over this material. Compared to other courses on this webside this course is very basic and learninds are limited. No time was invested by the creater in any practical excercise. The Slides shown at the beginning of the course are not available.
Sakaria Diarrassouba –
explanation too fast for us beginners in MLOps. In addition I was expecting a demo from A Z for the deployment in azure
Tony Maddalone –
Loving this course!
Deep Patel –
More explanation on how to run the pipeline in Azure step by step would have been helpful. I was unable to run anything on Azure besides importing repository and data.
Brad –
A very developed course on Mlops. It has cleared all my doubts on this trending word. Even though I am not a Machine learning expert but still I could easily grasp the core idea of all the ML codes used in Azure practical section. I would definitely recommend this course.
Alex D –
Instructor has done a fabulous job in framing the course in a very understandable way. I just opted for this course without any expectation but now I have got the gist of why mlops is so important and the need to learn more and more of it for machine learning projects. Overall this course is a good starter to develop carreer as mlops engineer
Smith –
A very nice course from J Garg. Thanks for creating it.
Gagan Singla –
A great course to start with Mlops. Kudos to the team.
Viacheslav Moskin –
Great course on MLOps basics! Provides great overview of ideas and main points of an MLOps workflow!
Radhe Shiam –
Fortunately, this course was published when I started learning mlops. A lot of my internet surfing time got saved. Learnt a lot of things from it.
Podam Garam –
Good course !
Yuvraj Hembade –
Actual Content is never explained, more about azure was expected. Core steps skipped.