Courses
Practicum AI is a hands-on applied AI learning curriculum intended for beginners in AI with limited coding and math background. Our approach is to use visual and conceptual explanation, coupled with hands-on coding exercises to lead learners through a progression of content from beginner to more advanced. AI is not just for computer scientists and we seek to broaden diversity of both AI practitioners and domains where AI can be applied. Our content is open source and freely available for learners as well as instructors who may want to adapt modules for their own teaching. For those wishing to obtain certificates, the content will also be available via Coursera.
AI Ethics
This module covers ethical considerations and challenges in AI. Check back soon for more detail...
Introduction to Python
Much of modern AI relies on Python, this course leads non-coders through exercises to learn enoug...
Deep Learning Foundations
This three-part series introduces learners to the foundations of deep learning. Check back soon ...
Convolutional Neural Networks
This series of modules introduces learners to convolutional neural networks (CNNs). Check back s...
Generative Adversarial Networks
This series of modules introduces learners to generative adversarial networks (GANs). Check back...
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...
