Microsoft Cognitive Toolkit 2.x Training Course

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Course Code



21 hours (usually 3 days including breaks)


  • An understanding of deep learning concepts
  • Experience programming in Python, C#, C++, or Java
  • Applied mathematics up to linear algebra


Microsoft Cognitive Toolkit 2.x (previously CNTK) is an open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain. According to Microsoft, CNTK can be 5-10x faster than TensorFlow on recurrent networks, and 2 to 3 times faster than TensorFlow for image-related tasks.

In this instructor-led, live training, participants will learn how to use Microsoft Cognitive Toolkit to create, train and evaluate deep learning algorithms for use in commercial-grade AI applications involving multiple types of data such as data, speech, text, and images.

By the end of this training, participants will be able to:

  • Access CNTK as a library from within a Python, C#, or C++ program
  • Use CNTK as a standalone machine learning tool through its own model description language (BrainScript)
  • Use the CNTK model evaluation functionality from a Java program
  • Combine feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs)
  • Scale computation capacity on CPUs, GPUs and multiple machines
  • Access massive datasets using existing programming languages and algorithms


  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice


  • If you wish to customize any part of this training, including the programming language of choice, please contact us to arrange.

Course Outline

To request a customized course outline for this training, please contact us.



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