Machine Learning and Blockchain with Microsoft Azure

Online Course

Udemy
Machine Learning and Blockchain with Microsoft Azure

What is the course about?

Machine Learning and Blockchain with Microsoft Azure
The course Machine Learning and Blockchain with Microsoft Azure 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.
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Course description
  • Machine Learning and Blockchain with Microsoft Azure
  • Learn the concepts of Blockchain
  • Learn to build smart contracts
  • Bitcoin: A cryptocurrency
  • Learn Azure Active Directory
  • Learn to use different types of cloud computing services
  • No prerequisites, but if you have basic idea of blockchain technology then it would be helpful.
  • You need to have a Microsoft Azure Account in order to use its services like blockchain workbench. You can create free account.
  • You should have a Facebook business page
  • 3.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Pranjal Srivastava
Machine Learning and Blockchain with Microsoft Azure

Prerequisites & Facts

Machine Learning and Blockchain with Microsoft Azure

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

Machine Learning and Blockchain with Microsoft Azure

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.
Machine Learning and Blockchain with Microsoft Azure
provided by Udemy

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