Deployment of Machine Learning Models

Online Course

Udemy
Deployment of Machine Learning Models

What is the course about?

Deployment of Machine Learning Models
The course Deployment of Machine Learning Models is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Build Machine Learning Model APIs

Course description
  • Deployment of Machine Learning Models
  • Deploy machine learning models into the cloud
  • Build machine learning model APIs
  • Send and receive requests from deployed machine learning models
  • Design testable, version controlled and reproducible production code for model deployment
  • Build reproducible machine learning pipelines
  • A Python installation
  • A Jupyter notebook installation
  • Python coding skills including pandas and scikit-learn
  • Familiarity with Python environments, OOP and git
  • Familiarity with Machine Learning algorithms
  • 9 hours on-demand video
  • 29 articles
  • 68 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Soledad Galli

Prerequisites & Facts

Deployment of Machine Learning Models

Course Topic

Data Science, Development, Machine Learning

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Deployment of Machine Learning Models

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Deployment of Machine Learning Models
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Machine Learning