Microservices introduction for Data Science
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Microservices introduction for Data Science
The objective of this course of Introduction to Microservices for Data Science is to introduce you to the new DevOps tools for deploying Machine Learning models in a Big Data productive environment.
In this course you will learn both the theory and the basic practice that will allow you to understand and apply these new methodologies. We will work with Python, Scikit-Learn, Flask, Docker, Kubernetes and Jenkins, but no previous knowledge is necessary to enjoy this course.
This course is for anyone who wants to increase their knowledge in the deployment of Machine Learning models in production, including Data Scientists, Data Architects, developers and product managers.
Generate an application with microservices that does Machine Learning predictions.
We will work with Python, Scikit-Learn, Flask, Docker, Kubernetes and Jenkins, but no prior knowledge is required to enjoy this course.
This course is for anyone who wants to increase their knowledge in the deployment of Machine Learning models in production, including Data Scientists, Data Architects, developers and product managers.
