Applied AI in Medicine Certificate


All components of this certificate program will be delivered online over 3 weekends. Each live unit combines lecture content and practice.

All times are Eastern

Introduction to Applied AI in Medicine

Friday, January 12, 2024
4pm – 7pm

Introduction & Orientation
Orientation to the program, overview of different AI architectures, and PyCharm IDE installation.

Coding AI Applications Using Python Programming

Saturday, January 13, 2024
9am – 4pm

Session 1: Writing, Editing, Saving, Retrieving, and Running Simple Programs
Introduction to basic data types, keywords, variables, operators, assignments, multi-statements, comments, Python I/O, expressions, and more.

Session 2: Control Flow, Python Functions, and Algorithms
Overview of control flow including conditions, operators, control statements, and loops. Introduction to widely used Python functions and algorithmic concepts.

Sunday, January 14, 2024
9am – 4pm

Session 3: Functions in Python Programming
Survey of functions in Python including defining a function, calling a function, and passing parameters to a function.

Session 4: Strings and Text Files in Python
Introduction to string, characters, array of characters, manipulation, indexing, string slicing, and related built-in functions, as well as comprehensive instruction on working with files.

Saturday, January 27, 2024
9am – 12pm

Session 5: Native Data Types in Python
Introduction to the basic operation and iteration methods for lists and dictionaries.

Implementing AI Applications Using Python Libraries

Saturday, January 27, 2024
1pm – 4pm

Session 6: Common Modules in the Python Standard Libraries
Orientation to widely used modules in the Python standard libraries, as well as important math functions.

Sunday, January 28, 2024
9am – 4pm

Session 7: NumPy
Understand how NumPy offers clarity and ease-of-use over traditional programming languages. Learn how to use NumPy features to support large, multi-dimensional vectors, arrays, and matrices.

Session 8: Matplotlib and Data Visualization
A deep dive into data plotting and visualization features offered by Matplotlib.

Saturday, February 10, 2024
9am – 4pm

Session 9: SciPy
Explore SciPy functionalities such as optimization, linear algebra, statistics, and differential equations.

Session 10: Pandas and Data Analysis
Discover how Pandas allows users to perform data analysis. Learn how to use Pandas features to clean, manipulate, explore, and understand large volumes of data.

Sunday, February 11, 2024
9am – 4pm

Session 11: Heart Disease Risk factor prediction using Logistic Regression and Random Forest Classifiers
Implementation of a machine learning application from scratch including visualizations.

Session 12: Image processing exercise using SVD
Build an image compression algorithm using machine learning libraries.