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Program Details

In partnership with UVA School of Engineering and Applied Sciences

This three week online experience will enable you to articulate concepts, algorithms, and tools to build intelligent systems while formulating various supervised and unsupervised models. You’ll be able to apply practical skill sets on designing, deploying, and analyzing deep network architectures on complex real-world problems. 

Program topics include big data preprocessing and handling, deep neural network design and optimization, image classification with convolutional neural nets, sequence modeling with recurrent neural nets, generative learning with generative adversarial nets, and deploying deep learning models to scale.


  • On Demand Learning (April 3-17)
    • Videos and self-paced tutorials
  • Live Virtual Learning 
    • April 3, 2021: 1:00-5:00 PM ET
      • Introduction
      • Networking
      • Entropy, Decision Making, and Learning Algorithms
      • Data Processing and Handling
      • Neural Networks
    • April 10, 2021: 1:00-4:30 PM ET
      • Convolutional Neural Nets for Image Classification
      • Sequence Learning with Recurrent Neural Nets
      • Data Generation
      • Deploying Deep Learning Model to Scale
    • April 17, 2021: 1:00-4:30 PM ET
      • Industry Lightning Talk
      • Demo Day
      • Industry Feedback
  • April 3-17: Group project working sessions (as needed)


Nada Basit headhshot

Nada Basit - Assistant Professor, UVA Department of Computer Science


N Rich Nguyen headshot

N. Rich Nguyen - Assistant Professor, UVA Department of Computer Science

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