Artificial Intelligence Bundle - Healthcare
Program Overview
The Bisk Amplified program is meticulously designed to provide a comprehensive educational experience that caters to the diverse needs of students aiming to advance their careers. This program offers detailed course information that covers a wide array of subjects, ensuring that each participant gains in-depth knowledge and practical skills applicable to their field. The curriculum is structured to include both theoretical foundations and hands-on learning opportunities, fostering a robust understanding of the material. Courses are taught by experienced instructors who bring real-world expertise to the classroom, enhancing the learning experience and providing students with valuable insights into industry practices.
One of the standout features of the Bisk Amplified program is its focus on student benefits. From personalized academic advising to extensive career support services, the program is dedicated to ensuring that students are well-prepared for their professional journeys. Participants have access to a wealth of resources, including online libraries, study groups, and interactive learning platforms that facilitate collaboration and engagement. Additionally, the program offers flexible scheduling options, allowing students to balance their studies with personal and professional commitments.
Graduates of the Bisk Amplified program often find themselves equipped with the skills and confidence needed to excel in their careers. The program’s emphasis on practical application, combined with its supportive learning environment, makes it a top choice for those seeking to enhance their educational and professional prospects. By enrolling in Bisk Amplified, students invest in a future where they can achieve their full potential, backed by a program that prioritizes detailed course content and substantial student benefits.
Program Type
Micro-Credential
Program Format
Online
Instruction Format
Instructor Led
Courses
1 course
Duration
3 Months
Next Start
Flexible Start Dates
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.