MLOps1 (Azure): Deploying AI and ML Models using Microsoft Azure Machine Learning
About this Course
This is the second of three courses in the Machine Learning Operations Program using Azure Machine Learning. Data Science, AI, and Machine Learning projects can deliver an amazing return on investment. But, in practice, most projects that look great in the lab (and would work if implemented!) never see the light of day. They could save or make the organization millions of dollars but never make it all the way into production. What’s going on? It turns out that making decisions in a whole new way is a big challenge to implement--for many technical, business andhuman-naturereasons. After decades of experience though, our team has learned how to turn this around and actually get working models into production the great majority of the time. A key part of deployment is excellence in data engineering, and is why we developed this course: MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning. You will get hands on experience with topics like data pipelines, data and model “versioning”, model storage, data artifacts, and more. Most importantly, by the end of this course, you will know... What data engineers need to know to work effectively with data scientists How to embed a predictive model in a pipeline that takes in data and outputs predictions automatically How to moniter the model’s performance and follow best practicesCreated by: Statistics.com
Level: Intermediate
![](http://d15yd2pup8u1d3.cloudfront.net/dd0266607b54263c1e35f2ce104159c5%2F600x400xwidth%2F98%2Fhttps%2Fprod-discovery.edx-cdn.org%2Fuloop%2Fr%3D4%2Fpng%2Fmedia%2Fcourse%2Fimage%2Ffcf0916a-cb14-48fa-9fc5-9f0b2b09554b-d06d71c52328.small.jpg)
Related Online Courses
The service mesh is an increasingly critical component of the cloud native ecosystem, with the Kubernetes ecosystem especially using service mesh projects to add reliability, security, and... more
Data mining has recently emerged as a major field of research and applications. Aimed at extracting useful and interesting knowledge from large data repositories such as databases and the Web, data... more
Il corso affronta lo studio di due discipline solo apparentemente lontane da loro. La prima, la più giovane per codificazione scientifica, avvenuta solo nel XIX secolo, è stata denominata “... more
Welcome to this Spark AR Studio advanced course. In this course, you will learn how to use Spark AR advanced skills and techniques to create and design augmented reality (AR) filters and use custom... more
In this project course, the final course in the Software Development MicroMasters program, you will learn how to input, manipulate, and return data with a modern web development stack. Using... more