AI Literacy Resources - UVA Alumni Association

UVA Teaching Hub: AI Literacy collection
Short descriptions, frameworks, and classroom activities (UVA-developed AI-literacy frameworks).
UVA School of Continuing & Professional Studies: Artificial Intelligence Prompting
Short (multi-week) professional program focused on prompt engineering and generative AI tools (project-based). Best for professionals seeking hands-on, practical GenAI skills with a UVA credential.
AI@UVA / School of Data Science Events & Short Courses
Periodic events, summer programs, and short learning experiences hosted by UVA’s data science units—good for alums who want campus-connected programming or to hear UVA researchers.
LaCross Institute for Ethical AI
Research, education, and public-facing programs focused on the responsible design and use of artificial intelligence—ideal for alums interested in ethics, policy, governance, and the societal impact of AI, or who want to stay connected to UVA’s thought leadership shaping the future of AI.

AI For Everyone (Andrew Ng / DeepLearning.AI on Coursera)
Non-technical course focused on strategy, opportunities, and how to work with AI teams—excellent for managers and business leaders.
Google’s Machine Learning Crash Course
Short practical intro (videos and interactive exercises). A good next step for alums who want hands-on intuition without committing to a multi-month program.
Building AI Literacy (LinkedIn Learning)
Short, role-focused modules (AI fundamentals, prompt engineering, ethics). Handy for busy professionals who want digestible, job-focused learning.

Microsoft: Azure AI Fundamentals (AI-900)—Paid exam; self-study materials free
Foundational certification for AI concepts and Azure services—appropriate for learners who want a recognized certification without deep coding.
Google Cloud: Generative AI & Machine Learning paths—Free/paid labs and badges
Cloud-focused learning for building/deploying machine learning and generative AI solutions (good for product and engineering managers leaning into cloud AI).
IBM: AI Engineering Professional Certificate (Coursera)—Paid (multi-course)
A hands-on, technical certificate (Python, machine learning frameworks, projects). Recommended for alums who plan to build or deploy models.

Generative AI with Large Language Models (DeepLearning.AI)
Practical course on how LLMs work and how to deploy them — ideal for technical practitioners and product teams building LLM-based apps.

Non-technical leaders/managers:
1. AI For Everyone
2. LinkedIn Learning “AI for Leaders” modules
Product managers/practitioners (no heavy coding):
1. Google ML Crash Course
2. DeepLearning.AI GenAI with LLMs
3. vendor cloud labs (Google Cloud, Azure)
Technical builders/aspiring ML engineers:
1. IBM AI Engineering Professional Certificate
2. specialized cloud machine learning courses