Upskilling
DataBytes: Becoming A Data Detective – Holding AI Accountable
via ZoomBias 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 […]
DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
via ZoomThe 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 […]
Foundations of AI: Intro to AI with Amy Hemmeter
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.
Foundations of AI: AI for Non-Coders
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?
Do you find yourself needing expertise on AI that, quite frankly, you didn’t sign up for?
This 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.
DataBytes: Intro to NLP, LLMs and more – a Taste of Foundations of AI
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 […]
Foundations of AI: Intro to AI and Deep Learning
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 […]
Foundations of AI: Intro to Generative AI for Coders
This course will give you an overview of what Generative AI is and how it works, and how to do some basic tasks in Generative AI. You’ll learn some tips and tricks for prompt engineering and prompt tuning, as well as more advanced techniques like RAG, fine-tuning and how to evaluate generative model performance. By […]
Foundations of AI: The Basics of Natural Language Processing
via ZoomIn 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 finally how How large language models (LLMs) and […]
DataBytes: The AI Security Gap: How Close Are We to Achieving Trustworthy AI?
via ZoomIn this webinar, Apostol Vassilev will examine the recently published 2025 edition of the NIST Al 100-2 report, a crucial resource for organizations seeking to ensure the security of Al systems. The talk will focus on the security of generative Al models, tailored to address the needs of Al practitioners and stakeholders in the audience. The report provides a comprehensive taxonomy of concepts and terminology in the field of adversarial machine learning (AML), organizing key Al technologies, attack life cycle stages, and attacker goals, objectives, capabilities, and knowledge into a conceptual hierarchy. By identifying current security challenges in the Al system life cycle and describing methods for mitigation and management, the report aims to establish a common language for the rapidly evolving AML landscape. This webinar will provide attendees with a deeper understanding of the development and deployment of more trustworthy and responsible Al systems.
Foundations of AI: Intro to Generative AI for Non-Coders
via ZoomThis four-hour workshop is designed to provide non-technical audiences an understanding of AI, its fundamental concepts, and its practical applications. The course clarifies technical jargon and reveals how everyday people rely on AI in their personal and professional lives. Attendees will receive big picture explanations of how AI works and will learn about opportunities and […]
Foundations of AI: Introduction to Deep Learning
via ZoomIn 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 […]
DataBytes: Real-World AI Evaluation: Overcoming the AI Assurance Bottleneck
via ZoomCurrent AI evaluation methods focus solely on the underlying technology and lack the necessary detail for real-world deployment decisions. Civitaas aims to bridge this gap and accelerate AI market readiness by evaluating the quality, safety, and utility of AI technologies in the real world. We achieve this through real-time user feedback as they interact with […]