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AWS Certification Machine Learning

Product
Developers: Amazon
Date of the premiere of the system: November, 2018
Branches: Information technologies

2018: Amazon opened for all access to internal rates on machine learning

The Amazon corporation opened access to internal rates on machine learning using which the company trains own specialists in this sphere. On November 26, 2018 in the blog of Amazon the general manager of the company in the field of technologies of deep training and artificial intelligence Matt Wood reported about it.

On hand Amazon has over 30 different online courses consisting of training materials, documentation, video and laboratory works with a total duration more than 45 hours. According to Matt Wood, the company acquired this baggage for more than 20 years' experience of use of machine learning.[1]

Amazon opened access to internal rates on machine learning using which the company trains own specialists in this sphere

Rates are focused on four main subgroups of specialists: software developers, analysts on work with Big Data (data scientist), engineers of analytical platforms (data platform engineer) and professionals in the field of business.

According to ZDNet, the rate for software developers acquaints with constituent elements of machine learning and tells how to create applications with algorithms of machine learning, computer vision and technology of natural languag processing.

The rate for heads of business promises to dispel myths around artificial intelligence technologies, machine and deep learning. Also he helps to understand terminology and learns as using the instruments of machine learning offered AWS it is possible to create templates and to do applications by more intellectual.

Machine learning rates are available within the new AWS Certification Machine Learning program. On its end it is offered to pass examination for check and confirmation of the gained knowledge. So far the examination stage is at a stage of public testing and is offered at the reduced price in $150 whereas total cost is $300.[2]

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