Christopher Samiullah
Learn how to test & monitor production machine learning models.
What is model testing?
You’ve taken your model from a Jupyter notebook and rewritten it in your production system. Are you sure there weren’t any mistakes when you moved from the research environment to the production system? How can you control the risk before your deployment? ML–specific unit, integration and differential tests can help you to minimize the risk.
What is model monitoring?
You’ve deployed your model to production. OK now what? Is it working as you expect? How do you know? By monitoring models, we can check for unexpected changes in:
Incoming data
Model quality
System operations
When we think about data science, we think about how to build machine learning models, which algorithm will be more predictive, how to engineer our features and which variables to use to make the models more accurate. However, how we are going to actually test & monitor these models in a production system is often neglected, . Only when we can effectively monitor our production models can we determine if they are performing as we expect.
Why take this course?
This is the first and only online course where you can learn how to test & monitor machine learning models. The course is comprehensive, and yet easy to follow. Throughout this course you will learn all the steps and techniques required to effectively test & monitor machine learning models professionally.
Instructor Details
Courses : 1
Specification: Testing and Monitoring Machine Learning Model Deployments
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10 reviews for Testing and Monitoring Machine Learning Model Deployments
Add a review
| Price | $11.99 |
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| Provider | |
| Duration | 8.5 hours |
| Year | 2022 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$11.99
B King –
Very clear structure, great content so far
Giannis Polyzos –
Excellent and well organized content.. Great insight
Niall O Hara –
This is the 3rd course I’ve taken by Chris & Soledad and once again it’s excellent. Would highly recommend this for any practicing or aspiring ML engineers.
Florence Chabanois –
Subtitles !!!!! Model is mother in the subtitles, very confusing !
Shehzada Alam –
The course is amazing, perhaps this the very important course I’ve enrolled in where there is so much to learn about machine learning testing. As per my knowledge there are hardly any course I’ve encounter which provides a detail instruction about model testing.
Senthil Murugan –
Yes, this course is really good. I am not so comfortable with lot of tools such as Connexion, tox, flask, etc. But, still I am able to understand the concepts. Slowly getting the idea of enterprise level ML software development and its testing design.
Daniel Esposito –
One of the most useful courses I have ever taken as a ML engineer.
Lim Yi Xiang –
Pronunciation can be improved
Kannan Kalidasan –
Great course with code repo examples and in right pace. I am able apply the learnings in my work and benefits. Trainer explained well from testing the ml code to monitoring the model. I purchased all their courses in udemy after this course to explore unknowns in machine learning domain.
Geoffroy Akotia –
Great course! I Learned a lot!