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X-WR-CALNAME:The National Consortium for Data Science
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X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART;TZID=America/New_York:20250220T130000
DTEND;TZID=America/New_York:20250220T170000
DTSTAMP:20260624T051916
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UID:10000083-1740056400-1740070800@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to AI and Deep Learning
DESCRIPTION:In this 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\, and how to make the most of open-source and pre-trained models on the market. \n\nHow machine learning works\nBasics of deep learning\nBasics of Natural Language Processing\nHow to do deep learning with language data\n\nPrerequisites\nUnderstanding basic Python and the very basics of data science (i.e.\, what data looks like in a csv format and how to do a simple linear regression) would be helpful in this class. Understanding machine learning basics is good\, but not required. \nRegister for Course \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: AI for Non Coders course on Thursday\, Feb. 20 from 1:00 p.m. – 5:00 p.m. ET. \n\nTo apply for a full scholarship\, submit your application via this form.\nDO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-feb-2025/
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_02_Foundations-02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241212T120000
DTEND;TZID=America/New_York:20241212T130000
DTSTAMP:20260624T051916
CREATED:20241127T170023Z
LAST-MODIFIED:20241204T170748Z
UID:10000082-1734004800-1734008400@datascienceconsortium.org
SUMMARY:DataBytes: Intro to NLP\, LLMs and more - a Taste of Foundations of AI
DESCRIPTION:In this short session you’ll learn the basics of Natural Language Processing\, starting with turning words and sentences into embeddings for use in deep learning tasks\, as well as an intro to language models\, large and otherwise. You’ll learn some hands-on tips and tricks for making sense of language data\, and get a technical but beginner-friendly introduction to the wide world of AI with language. \nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-dec-2024/
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_12_DataBytes_Small-Flyer-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240926T130000
DTEND;TZID=America/New_York:20240926T170000
DTSTAMP:20260624T051916
CREATED:20240607T044334Z
LAST-MODIFIED:20241204T152635Z
UID:10000074-1727355600-1727370000@datascienceconsortium.org
SUMMARY:Foundations of AI: AI for Non-Coders
DESCRIPTION:Ever say to yourself: what even is an LLM? How do I get from chatting with ChatGPT to talking about larger AI products? How do I answer these nonstop questions from colleagues\, customers\, leadership and more in this new landscape? \nDo you find yourself needing expertise on AI that\, quite frankly\, you didn’t sign up for? \nThis course is designed to meet the needs of people who are not necessarily well-versed in math and science but who know that they need to know the basics about AI in this changing landscape. \nYou’ll learn about what AI can accomplish\, the intuitions behind how it works (no math or coding necessary!)\, and opportunities and risks. You’ll come away feeling confident that you know not only what an LLM actually is\, but understand all the jargon people use to talk about it. \nRegister for the Course\n  \n  \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: AI for Non Coders course on Thursday\, Sept. 26 from 1:00 p.m. – 5:00 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP. 
URL:https://datascienceconsortium.org/event/foundations-of-ai-sept-2024/
CATEGORIES:Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_09_Foundations-02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240516T130000
DTEND;TZID=America/New_York:20240516T170000
DTSTAMP:20260624T051916
CREATED:20240417T152651Z
LAST-MODIFIED:20240426T152834Z
UID:10000071-1715864400-1715878800@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to AI with Amy Hemmeter
DESCRIPTION: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. \nIn this course you’ll learn: \n\nBasics of deep learning with language data\nHow BERT and GPT work\nWhat is Generative AI?\nWhat is an LLM and how do I use it?\nBasics of prompt tuning and prompt engineering\nRetrieval Augmented Generation (RAG)\nEvaluating generative model performance\n\nRegister for the Course
URL:https://datascienceconsortium.org/event/foundations-of-ai-may-2024/
CATEGORIES:Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_05_Foundations-02-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240430T153000
DTEND;TZID=America/New_York:20240430T161500
DTSTAMP:20260624T051916
CREATED:20240222T165513Z
LAST-MODIFIED:20240222T170615Z
UID:10000070-1714491000-1714493700@datascienceconsortium.org
SUMMARY:DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
DESCRIPTION:The National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements\, standards\, and legal metrology to provide recommendations that ensure traceability\, enable quality assurance\, and harmonize documentary standards and regulatory practices. Their framework is very detailed with recommendations across four functions: govern\, map\, measure\, and manage. In this session\, we’ll discuss incorporating these recommendations into the analytics lifecycle. Attendees to this session will gain a greater understanding of trustworthy AI best practices as well as user roles and expectations for building responsible analytics. \nJoin NCDS as Sophia Rowland\, a Senior Product Manager focusing on ModelOps and MLOps at SAS\, walks us through this important presentation. \nRegister for the Event \n\n 
URL:https://datascienceconsortium.org/event/databytes-supporting-ai-risk-management-in-the-analytics-lifecycle/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_04_DataBytes_Small-Flyer.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240222T120000
DTEND;TZID=America/New_York:20240222T130000
DTSTAMP:20260624T051916
CREATED:20240202T162917Z
LAST-MODIFIED:20240213T163833Z
UID:10000068-1708603200-1708606800@datascienceconsortium.org
SUMMARY:DataBytes: Becoming A Data Detective - Holding AI Accountable
DESCRIPTION:Bias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman\, Emmy-award winning investigative reporter\, Wall Street Journal and Guardian contributor and Journalism Professor at NYU\, as she shares key takeaways from her book\, The Algorithm: How Al Decides Who Gets Hired\, Monitored\, Promoted\, and Fired and Why We Need to Fight Back Now. \nAl is now being used to decide who has access to an education\, who gets hired\, who gets fired\, and who receives a promotion. Algorithms are on the brink of dominating our lives and threaten our human future-if we don’t fight back. During the webinar\, Schellmann will share takeaways about the rise of Al in the world of work and show how she tested many of the available tools herself without coding experience. \nDuring our time together\, Hilke will share a few key takeaways from the book and answer questions from the audience. You don’t want to miss this.\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-feb-2024/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_02_DataBytes_Small-Flyer-1.png
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