The ‘Artificial Intelligence in Medicine: Creators Course’ Diploma is perfect for those who don’t just want to stop at the theory. In this course you will learn the key facts surrounding AI in Medicine as well as gain the practical knowledge to create your very own AIs to be used in the modern day.
Course Modules (5 – 8)
Module 5: Learn Javascript
Now it’s time to put theory into practise! Javascript is used in web development, mobile applications and machine learning, and is still on the rise as arguably the most useful programming language currently used. We will give you the tools for building your own AI as well as the skills for all software development. Furthermore, we will teach you fundamental principles of object-oriented programming to ensure that your work will be backwards compatible and future proof so that you aren’t left behind as medicine evolves.
Module 6: Pre-processing
Good structured data is needed for the best machine learning models however data doesn’t always come in the exact form you want it. In this module we will teach you several different techniques for data pre-processing, ensuring that you can build an effective and efficient machine learning model from any data set. In addition, you will learn how to manipulate data to feed through a pipeline; a crucial process for all forms of software development.
Module 7: Regression Analysis
Regression analysis is a statistical tool used to examine the influence of independent variables on a dependent variable, mathematically working out which of those variables does actually have an impact. There are multiple types of regression model and they can be found everywhere in medical AI; from helping to choose the right treatment regime to anticipating changes to the spread of disease. Here we will not only give you the understanding of these various models but will also teach you the skills required to make your own regression models.
Module 8: Classification
In this module we will focus on giving you the skills to create machine learning models which can categorise data; a key component of creating an AI capable of identifying different diseases from an x-ray. You will learn multiple models for classification, as well as how to identify which model is appropriate for a given dataset, allowing you to create your own models for any given scenario.
