Graduate Certificate in Deep Learning

Information about the credit-bearing, degree-leading graduate certificate in Deep Learning offered through UTA's Computer Science and Engineering Department

Our credit-bearing, degree-leading Deep Learning certificate is intended to give those who successfully complete it:

  • An ability to understand fundamental concepts of deep learning, such as matrix computation, classification, regression, unsupervised learning, semi-supervised learning and supervised learning
  • In depth knowledge of Convolution Neural Networks, Recurrent Neural Networks, Long Short-term Memory, Batch Normalization, Dropout, Stochastic Gradient Descent, Attention Networks, and Transformer
  • An ability to apply this knowledge to subject areas, such as image processing, text mining, speech recognition, health informatics and bioinformatics, and social networks data

This certificate is managed by:

  • Dr. Junzhou Huang, administrator, Associate Professor
  • Dr. Vassilis Athitsos, co-administrator, Professor
  • Dr. Bahram Khalili, Associate Professor of Instruction and Graduate Advisor

All completed certificate coursework can be applied towards an MS or PhD degree.

Graduate Certificates in the Catalog

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