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- 88% Testing and Monitoring Machine Learning Model Deployments

Testing and Monitoring Machine Learning Model Deployments

$11.99Track price

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9.2/10 (Our Score)
Product is rated as #18 in category Machine Learning

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

My name is Chris. I'm a professional software engineer from the UK. I've been writing code for 8 years, and for the past three years, I've focused on scaling machine learning applications. I've done this at fintech and healthtech companies in London, where I've worked on and grown production machine learning applications used by hundreds of thousands of people. I've built and maintained machine learning systems which make credit-risk and fraud detection judgements on over a billion dollars of personal loans per year for the challenger bank Zopa. I currently work on systems for predicting health risks for patients around the world at Babylon Health. In the past, I've worn a variety of hats. I worked at a global healthcare company, Bupa, which included being a core developer on their flagship website, and three years working in Beijing setting up mobile, web and IT for medical centers in China. Whilst in Beijing, I ran the Python meetup group, mentored a lot of junior developers, and ate a lot of dumplings. I enjoy giving talks at engineering meetups, building systems that create value, and writing software development tutorials and guides. I've written on topics ranging from wearable development, to internet security, to Python web frameworks. I'm passionate about teaching in a way that minimizes the time between ah hah moments, but doesn't leave you Googling every other word. Complexity is necessary for application in the real world, but too much complexity is overwhelming and counter-productive. I will help you find the right balance.

Specification: Testing and Monitoring Machine Learning Model Deployments

Duration

8.5 hours

Year

2022

Level

Intermediate

Certificate

Yes

Quizzes

Yes

10 reviews for Testing and Monitoring Machine Learning Model Deployments

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  1. B King

    Very clear structure, great content so far

    Helpful(0) Unhelpful(0)You have already voted this
  2. Giannis Polyzos

    Excellent and well organized content.. Great insight

    Helpful(0) Unhelpful(0)You have already voted this
  3. 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.

    Helpful(0) Unhelpful(0)You have already voted this
  4. Florence Chabanois

    Subtitles !!!!! Model is mother in the subtitles, very confusing !

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  5. 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.

    Helpful(0) Unhelpful(0)You have already voted this
  6. 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.

    Helpful(0) Unhelpful(0)You have already voted this
  7. Daniel Esposito

    One of the most useful courses I have ever taken as a ML engineer.

    Helpful(0) Unhelpful(0)You have already voted this
  8. Lim Yi Xiang

    Pronunciation can be improved

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  9. 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.

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  10. Geoffroy Akotia

    Great course! I Learned a lot!

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    Testing and Monitoring Machine Learning Model Deployments
    Testing and Monitoring Machine Learning Model Deployments

    $11.99

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