At AIBridge, our goal is to bridge the gap between AI and other disciplines. We accomplish this by teaching AI concepts to graduates, post-graduates, and adults who specialize in non-computer-science related fields or who are interested in applying AI for their own uses.

In this boot camp, participants learn basic programming in Python and the concepts behind Machine Learning. Students apply Machine Learning to real research problems through hands-on labs and a final project presentation.

In the past, this short course has been offered at UC Davis, Cornell University, University of Illinois Urbana-Champaign, and at public libraries in the Bay Area.

AIBridge is developed and taught by Professor Xin Liu and TAs Samuel Ren, Jiaming Situ, Jack Fan, Houjun (Jack) Liu, and Aman Manvattira Ganapathy.

TYPICAL SCHEDULE (morning + afternoon)

DAY 1 : Colab, Types, Control + Logic, List, I/O, func

DAY 2: ML & linear models + Data Manipulation

DAY 3: Classification + ML Ops

DAY 4: Unsupervised Learning + Large Language MDL

DAY 5: Large Language Models + Project Presentation