Deep Learning


Course Details

  • Location: Online
  • Duration: 9 weeks
  • Times: Evenings
  • Cost : $1,630

Next Start Date:

July 16, 2024

This course is part of a certificate program. You can also take it without enrolling in the program.

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About this Course

Deep learning is a subfield of artificial intelligence that is inspired by how the human brain works, a concept often referred to as neural networks. In the last decade we’ve seen significant development of deep learning methods that enable state-of-the-art performance for many tasks, including image, audio and video classification. In this course, you’ll gain both a theoretical understanding of deep learning and hands-on experience with emerging use cases.

See Requirements


  • The underlying conceptual principles of neural networks
  • Modern deep learning techniques such as dropout and batch normalization
  • How to select appropriate loss functions, optimizers and activation functions
  • The application of CNNs, RNNs, VAE and more 
  • How to build computer vision models, machine translation system and game playing agents


  • Gain practice with cutting-edge techniques, including generative adversarial networks (GANs), reinforcement learning and BERT
  • Apply techniques to rapidly build and train deep neural networks using popular open-source tools such as Keras and TensorFlow

Program Overview

This course is part of the Certificate in Machine Learning.

Quarter 3

Deep Learning

Learning Format

Online With Real-Time Meetings

Online With Real-Time Meetings

Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »

Course Sessions

Online With Real-Time Meetings


Meet your instructor

Jerry Kuch

Software Engineer, Pivotal


You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit options.

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