Full-day Tutorial by NVIDIA on Artificial Intelligence and Data Science

This one-day online tutorial will take place on August 25th. The goal is to teach researchers how AI can accelerate HPC simulations by introducing the concepts of Deep Neural Networks, including data pre-processing, and techniques on how to build, compare and improve the accuracy of deep learning models. This event will introduce real-world problems where participants learn AI concepts with step-by-step instructions using learned techniques.

2021-08-18T12:00:00-07:00 378 Bootcamps AI

Event Format 

The one-day tutorial will be hosted online in the India Standard Time (IST) zone on August 25th, 2021. All communication will be done through Zoom, Slack and email. 

Prerequisites

Basic experience with Python. No GPU programming or AI knowledge is required.This event has limited capacity, so please make sure that prerequisites are met before applying. You will be receiving an acceptance email with details on how to participate.

Agenda: Please note this event will be hosted online in the India Standard Time (IST) zone. 

Morning Session on Accelerated Data Science: This session will introduce the participants with the GPU Ecosystem for Accelerated Data Science. The session is hands-on and participants by the end of the session not only will learn how to use the stack but also would have solved a real world problem using Machine Learning stack.

    • Prerequisites: Basic experience with Python and Machine Learning is required.  
    • Max Participants: 50
    • Compute Resources: Each participant will be provided with access to 1 GPU for the session.
    • Schedule:
      • Welcome (Moderator): 9:00 AM – 9:30 AM
      • Connecting to cluster: 9:30 AM - 10:00 AM
      • Accelerated Data Science: 10:00AM - 10:30 AM (Lecture)
      • RAPIDS Hands-on : 10:30AM - 11:30AM (Lab)
      • RAPIDS Challenge : 11:30AM - 12:30AM (Challenge)

Afternoon Session on AI in Smart City:This session will introduce the participants with the GPU Ecosystem for Intelligent Video Analytics Applications like in Smart City. The session is hands-on and participants by the end of the session not only will learn how to use the stack but also would have solved a real world problem using NVIDIA® DeepStream SDK.

    • Prerequisites: Basic experience with Python and Machine Learning is required.  
    • Max Participants: 50
    • Compute Resources: Each participant will be provided with access to 1 GPU for the session.
    • Schedule:
      • Welcome (Moderator): 1:00 PM – 1:30 PM
      • Connecting to cluster: 1:30 PM - 2:00 PM
      • Accelerated Video Analytics : 2:00 PM - 2:30 PM (Lecture)
      • DeepStream Hands-On :  2:30 PM - 2:30 PM (Lab)
      • DeepStream Challenge : 2:30 PM - 3:30PM (Challenge)

 

Event Focus
AI

Important Event Dates

  • ICETCI 2021 GPU Tutorial on AI and Data Science Application Deadline
  • ICETCI 2021 GPU Tutorial on AI and Data Science Event Date

Questions?