Coursera Project Network
MLOps in R: Deploying machine learning models using vetiver
Coursera Project Network

MLOps in R: Deploying machine learning models using vetiver

Taught in English

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Prepare and build a stacked ensemble model for deployment.

  • Version and deploy a machine learning model using vetiver.

  • Predict and use monitoring tools and techniques to track model performance.

Skills you'll practice

Details to know

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Recently updated!

March 2024

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Set up and overview of the project

  2. Load the model's components

  3. Create a stacked model and evaluate the model on the test set

  4. Create a vetiver object, store and version the model

  5. Create a REST API for deployment

  6. Create a pins board for deployment

  7. Deploy the model via Docker

  8. Predict from the model's endpoint

  9. Compute, pin, and plot monitoring metrics

  10. Build a monitoring dashboard

Recommended experience

An intermediate understanding of machine learning concepts and model development and a basic understanding of using the command line.

8 project images

Instructor

Arimoro Olayinka Imisioluwa
Coursera Project Network
36 Courses71,382 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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