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Neural Networks & Deep Learning

A required course in the Machine and Deep Learning Specialized Studies Certificate Program.

Course Description

Neural Networks are capable of utilizing a wide range of data sets including unstructured data such as text, speech, images, audio and video. Talking products from Apple, Amazon, Microsoft, and Google all use artificial neural networks as do Tesla’s self-driving cars. Artificial neural networks are also increasingly being used in NLU (Natural Language Understanding). This course will cover foundational concepts of neural networks and deep learning. Starting with key concepts behind Machine Learning and Deep Learning, the course will explore design, architecture, and applications of neural networks for practical applications in deep learning methods including supervised and unsupervised models. Using popular toolsets including TensorFlow and Keras, students will set up and implement scalable Artificial Intelligence Systems.

Prerequities: I&C SCI X426.59 Intermediate Python, and I&C SCI X426.73 Intro to Machine Learning & AI.

NOTE: This course may use live sessions via Zoom. While students are highly encouraged to attend, all sessions are optional and will be recorded. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

  • Details
  • $820
  • April 24, 2023 to June 18, 2023
  • Delivery Mode: Online
  • Reg#: 00397
  • ID/Units: I&C SCI X426.74  (2.50)
    ( Section 1 )
  • Quarter: SPRING 2023


Phuc (Brian) Nguyen, M.S, Red Hat Certified Specialist, is the Machine Learning Architect for Red Hat. He has been working in the information technology fields for more than 8 years as web developer, software engineer, system consultant, technical lead, and machine learning architect. His expertise includes software development, front-end engineering, distributed system using Kubernetes and OpenShift, cloud computing, machine learning, and application architecture. He is an active contributor for RedHat OpenShift Engineering Blog and Open Source Software Community. He has a passion in teaching and working with the end-user to educate people about the latest technologies in Artificial Intelligent, Machine Learning, and Cloud Computing.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbooks are required for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START04/24/2023Monday------Online (Access Begins)---
OL-LEC04/25/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC05/02/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC05/09/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC05/16/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC05/23/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC05/30/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC06/06/2023Tuesday3:00 PM4:00 PMZoom---
OL-LEC06/13/2023Tuesday3:00 PM4:00 PMZoom---
END06/18/2023Sunday------Online (Access Ends)---