National Consortium for Data Science (NCDS) Foundations of AI: Basics of Natural Language Processing Scholarship Request

The National Consortium for Data Science is pleased to offer a limited number of full scholarships for faculty, staff and students at two-year and four-year academic institutions to attend the virtual, live instruction course Foundations of AI: Basics of Natural Language Processing course on Thursday, May 15 from 1:00 p.m. - 5:00 p.m. ET.
-- Priority will be given to faculty, staff, and students from non-R1 and non-R2 academic institutions. 
-- This form serves as the registration link for the event, do not register via additional links. 

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EVENT ABSTRACT
Basics of Natural Language Processing with Amy Hemmeter 

In this workshop you’ll learn the basics of Natural Language Processing (NLP): the subfield of AI and data science dedicated to human language. 

You’ll also learn 

-- How to do basic analyses with unstructured text data -- How to use deep learning to create NLP models from scratch and -- How large language models (LLMs) and Generative AI work and connect to other NLP skills.

We’ll touch on some aspects of deep learning that are specific to NLP, some more basic analyses of unstructured data and how to deal with lots of unlabeled text (e.g. clustering) and basically go deeper on things that are really NLP-related as opposed to AI more generally. 

Pre-requisites: Basic Python knowledge required, machine learning knowledge helpful but not required, very basic data science knowledge (i.e. linear regression) is recommended.

The Foundations of AI series provides:
  • A virtual attendee experience
  • Live instruction in a wide range of technical concepts as well as theory/practical application
  • Expert instructors
  • Recording available after the event
  • Certificate of participation 
First Name  *
Middle Name or Initial or N/A
Last Name *
Email address *
Preferred phone number or N/A *
We'll notify recipients about the status of their scholarship application via email no later than Friday, May 2, 2025.  *
Which institution do you represent? (Ex: university, employer) 
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Is your institution designated an R1 or R2 institution? Information about this designation available here.  *
Please indicate which identifier describes your institution (not you personally). Choose one.  *
If you are currently pursuing a degree, what is your concentration or area of study?  *
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What specifically interests you about AI? (optional) 
How will this course help you get to the next step in your academic or career journey? Registrants who provide a complete answer will be given priority.  *
If you are accepted to receive a scholarship, are you willing to provide feedback on the course that we can use in promotional materials? *
If you are proficient in any of these technical tools, please check the boxes below.  *
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