Practicum AI: Building AI Knowledge

Presented by UF Research Computing, Practicum AI is a hands-on applied AI curriculum intended for students with limited coding and math background. Using hands-on exercises and graphically based, conceptual content, our hope is to support learners who seek to begin applied AI research.

AI Ethics

This module covers ethical considerations and challenges in AI. Check back soon for more detail...

Convolutional Neural Networks

This series of modules introduces learners to convolutional neural networks (CNNs). Check back s...

Deep Learning Foundations

This three-part series introduces learners to the foundations of deep learning. Check back soon ...

Generative Adversarial Networks

This series of modules introduces learners to generative adversarial networks (GANs). Check back...

Introduction to Python

Much of modern AI relies on Python, this course leads non-coders through exercises to learn enoug...

Natural Language Processing

This series of modules introduces learners to natural language processing (NLP). Check back soon...

Recurrent Neural Networks

This series of modules introduces learners to recurrent neural networks (RNNs). Check back soon ...

FAIR Data for AI

This module covers making data for AI/ML FAIR (Findable, Accessible, Interoperable, and Reusable...

View All Courses

Practicum AI: Building AI Knowledge

AI Ethics

Convolutional Neural Networks

Deep Learning Foundations

Generative Adversarial Networks

Introduction to Python

Natural Language Processing

Recurrent Neural Networks

FAIR Data for AI

Online Certificate

Latest GPU technology

Jupyter Notebooks

Practicum AI