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Microcredential in

Deep Learning

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Delivery
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1 Semester
Estimated Time To Complete
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What you'll learn

Leverage AI in your analytics with this Deep Learning microcredential! Deep learning uses different types of artificial neural networks to analyze data, to simulate decision making. A dynamic method of Artificial Intelligence and a subset of machine learning, deep learning can be key to grouping and clustering large data sets, to identify hidden patterns, introduce personalization, and make better predictions. In this microcredential you will review the feasibility, usefulness, effectiveness, and scalability of deep learning techniques associated with large data sets, including the concepts of supervised and unsupervised learning. Then, through a review of deep learning concepts, methods, and approaches you will become familiar with the different types of artificial neural networks-ANN, CNN, RNN, GAN-and their role in data mining, prediction and categorization. You will consider ethical reasoning and critical analysis. Successful completion of this microcredential prepares all for continued study and provides existing professionals with specialized data and information management skills that leverage artificial intelligence to improve business decisions.

Microcredential course requirements

 

Skills covered

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Credits earned in the completion of this microcredential can be applied toward completion of a related certificate or degree program. It is a building block that gives you a jump start to education and career success.

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