Course

Deploy a predictive machine learning model using IBM Cloud

Coursera Project Network

In the 1-hour long project-based course, "Deploy a predictive machine learning model using IBM Cloud," you will gain hands-on experience in creating, evaluating, and saving a machine learning model using Watson Studio on the IBM Cloud Platform. You will also learn to deploy the model and use it as a web service frontend to make predictions, all without writing a single line of code.

This course is ideal for Data Scientists, Machine Learning Engineers, and Developers looking for ways to make their machine learning code available for integration into applications as a web service. No costs are involved, as the course is conducted in a development mode using a free IBM Cloud account.

  • Learn to create, evaluate, and deploy a machine learning model using Watson Studio without coding.
  • Understand how to use the deployed model as a web service frontend for predictions.
  • Gain hands-on experience to deliver machine learning code for integration into applications.
  • No cost involved; the course is conducted using a free IBM Cloud account.

It is recommended that learners have familiarity with machine learning methodologies, including training, prediction, and evaluation. Basic knowledge of some machine learning algorithms is also appreciated to better understand the results before making a deployment. Please note that this course is optimized for learners based in the North America region, with plans to expand to other regions in the future.

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Deploy a predictive machine learning model using IBM Cloud
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