Artificial Intelligence Bundle - Logistics
- Overview
- Admissions
- Academics
- What You'll Learn
- Benefits
🌟 All Louisville programs offered through Bisk Amplified are now ACE-College Credit Recognized!
This four-course program from the University of Louisville offers a comprehensive introduction to cybersecurity and artificial intelligence (AI) fundamentals tailored to the logistics industry. Delivered virtually and asynchronously, the program combines theoretical insights with real-world applications and expert-guided learning. Participants gain in-depth knowledge of coding, data structures, and AI techniques, positioning them to address cybersecurity challenges and enhance operational efficiency in logistics.
Who Should Register
Who Should Register
This program is ideal for:
- Professionals in the logistics and supply chain sectors seeking to integrate AI into operations.
- Cybersecurity specialists interested in logistics-specific applications.
- Individuals aiming to enhance their understanding of AI, cybersecurity, and robotics in logistics.
Why Choose Louisville
Founded in 1798, the University of Louisville (UofL) is a leading institution recognized as both a Research 1 and Community Engaged university by the Carnegie Foundation. UofL’s commitment to innovation, education, and community impact ensures learners are prepared for success. With flexible online programs and expert faculty, UofL equips students with the skills to excel in rapidly evolving fields like logistics, AI, and cybersecurity.
Admission Requirements
Must be 18 years of age or older.
Curriculum
Curriculum Details
Sample courses include :
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. 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.
What You'll Learn
Participants will develop:
Python and Data Analytics Skills:
Build foundational programming and data structure expertise.
AI and Chatbot Familiarity:
Understand AI fundamentals and chatbot applications in logistics.
Cybersecurity Awareness:
Learn to identify vulnerabilities and develop strategies to safeguard logistics systems.
Graduates will be prepared to:
- Design AI-driven cybersecurity solutions for the logistics industry.
- Utilize machine learning and cognitive computing tools to optimize logistics operations.
- Implement and secure robotic process automation (RPA) systems in logistics.
- Pursue roles in logistics IT, cybersecurity analysis, and AI development for supply chains.