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Artificial Intelligence Bundle - Healthcare

Program Type

Micro-Credential

Program Format

Online

Instruction Format

Instructor Led

Courses

1 course

Duration

3 Months

Next Start

Flexible Start Dates

course 002

Program Overview

A 4-course overview of cybersecurity, focusing on artificial intelligence fundamentals in the healthcare Industry. This virtual, asynchronous program offers in-depth knowledge, real-world application, and expert-guided learning.

What You'll Learn

  • Python and data analytics base knowledge
  • Data structures knowledge
  • Familiarity with chatbots

Admission Requirements

  • 18 years of age or older

Curriculum & Tuition

Required Courses

Tuition

Average Cost Per Course: $1,963

Curriculum Details

Sample courses include:

Courses Included in the suggested order: 

Coding: This module provides an introduction to problem-solving techniques and the computer program development process through coding in a high-level language. Topics include: program structure; data types; variables; operations; expressions; input/output; sequence, selection, and repetition; functions; data structures; and software design techniques. Concepts are reinforced with many programming laboratory-exercises throughout the course.

Artificial Intelligence: This module provides an overview of the fundamental techniques and approaches in artificial intelligence. Topics include the history of AI; knowledge and reasoning; problem solving; learning approaches; practical considerations; and responsible AI. The module uses case studies from cybersecurity and healthcare applications.

Cognitive Computing: This module provides lectures and labs on deep learning and machine learning using combination of tools such as cognitive services APIs, Deep Learning frameworks and libraries. Two major breakthroughs for cognitive computing in healthcare are: 1) consumer/user engagement (e.g.example IBM Watson social network Welltok) and 2) discovery applications, such as drug discovery and analysis of human health. Internet of Medical Things integrates sensors and AI algorithms, which are vulnerable to cyber-attacks. Examples of attacks are: 1) access by malicious actors; 2) loss or corruption of enterprise information and patent data. Topics include: Neural Networks, Convolutional Neural Network (CNN), Long – Short Term Memory (LSTM), Natural Language Processing (NLP) and Deep Reinforcement Learning (Deep RL).

Robotics Process Automation Analysis: This module provides lectures and labs on the system architecture enabling robotics and common use cases for robotics in healthcare. Topics include: Distinguish the characteristics of operating systems enabling robotics; Distinguish the characteristics of operating systems enabling robotics; Common threats and cyber-attacks to robotic systems; The ethical issues related to the use of robotics and the need for cybersecurity to enable trust in robotic operations.

Why Choose Louisville

Founded in 1798, the University of Louisville (UofL) is a vital ecosystem that creates thriving futures for students, community and beyond. Recognized by the Carnegie Foundation as both a Research 1 and a Community Engaged university, UofL is uniquely positioned to impact lives in areas of student success and research and innovation, while dynamic connections with local and global communities provide unparalleled opportunities. Through its approach to education, innovation and connection UofL is committed to shape a better future for all.

Average Cost Per Course: $1,963

Additional tuition reductions and flexible payment options may be available!

Career Pathways

Computer and Information Research Scientists
Database Architects
Medical Records Specialists
Medical and Health Services Managers
Software Developers