Fulfilling the NCDS mission to connect diverse communities of data science experts to support a 21st century data-driven economy by creating a data-literate workforce and bridging the gap between data scientists in the public and private sectors requires educational and upskilling opportunities. All Foundations courses are virtual with live instruction.
The Foundations of AI series provides audiences:
- 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
Who should attend Foundations of AI courses?
These virtual courses are designed to benefit a wide range of people interested in upskilling, including but not limited to technical people with an interest in data science and Machine Learning, folks with some coding knowledge and math knowledge, engineers who do not specialize in data science, analytics people needing to brush up on skills, a more technical support person, and product managers.
Scholarships
The National Consortium for Data Science (NCDS) is pleased to offer a limited number of full scholarships for Foundations of AI events. Each event description contains scholarship information.
- Priority will be given to faculty, staff, and students from non-R1 and non-R2 institutions.
- The form (viewable within each event) serves as the registration link for the event, do not register via additional links.
Past Courses
Intro to AI with Amy Hemmeter | May 16, 2024, 1:00 - 5:00pm ET
In this half-day course, you’ll learn about Artificial Intelligence (AI), starting with foundational concepts in machine learning and deep learning, then moving to the basics of Natural Language Processing and Computer Vision that got us to our current boom in Generative AI as demonstrated by GPT-3, DALL-E and other well-known tools. Learn how to train your own AI models, how to make the most of open-source and pre-trained models on the market, and how to stay ahead of the curve on technical improvements.
In this course you’ll learn:
- Basics of deep learning with language data
- How BERT and GPT work
- What is Generative AI?
- What is an LLM and how do I use it?
- Basics of prompt tuning and prompt engineering
- Retrieval Augmented Generation (RAG)
- Evaluating generative model performance
