AI Boot Camp Beginner Track
Issued by
University of Florida
Beginner learners are taught micro-learning tutorials built on the UF AI Boot Camp by CHoRUS faculty and UF College of Medicine AI faculty. Trainees are guided through several hands-on example applications of AI in Clinical Care via interactive Python programming notebooks that showcase AI and machine learning methods applied to real-world clinical datasets. The beginner track assumes no prior programming experience and is aimed primarily at AI and machine learning novices.
Earning Criteria
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By the end of this workshop, students will be able to: get familiar and apply large language models (LLMs) with Jupyter notebooks, navigate the Jupyter Lab environment and create Jupyter notebooks, explain the rules that govern Python variables, loops, conditionals, and functions, develop and execute Python code for manipulating biomedical data, identify the important Python libraries for biomedical data science and discuss the importance of multidisciplinary collaboration .