Artificial Intelligence Management

Artificial intelligence and machine learning (AI/ML) are emerging technologies that are disrupting every area of industry. Whether business intelligence, supply chain management, customer service, finance, or human resources, AI/ML management knowledge workers are required to design and implement AI solutions. This course provides a business perspective for integrating AI and ML into an organization’s business strategy. Students will explore the history of artificial intelligence, compare different AI algorithms, and evaluate the ethical implications of these technologies. AI/ML business models and techniques will be outlined, and the student will carry out simple machine learning experiments. The toolsets and frameworks that allow an artificial intelligence and machine learning (AI/ML) management knowledge worker to create a business solution without complex programming will be the focus of this course. The students will manage and train neural networks using various models and construct an image classification application.
Prerequisite(s):

• BSYS 2065

​This course explores how leaders can drive value through the strategic application of artificial intelligence (AI) within organizational settings. Students will examine the role of leadership in setting AI vision, aligning AI initiatives with business strategy, and fostering a culture of innovation and ethical responsibility. Through case studies, frameworks, and applied activities, learners will develop the skills to assess organizational readiness, plan for AI adoption, manage change, and measure impact. Special emphasis will be placed on cross-functional collaboration, governance structures, and managing the risks and benefits of AI-driven transformation.
Prerequisite(s):

• No prerequisites are required for this course.

In this course, students will continue to develop the skills from BSYS 3001 Artificial Intelligence Management 1. The business use cases of deep learning will be evaluated, and students will compare supervised, unsupervised and reinforcement machine learning models. The different types of neural networks, constraint and optimization problems, and search techniques will also be investigated. Other deep learning tools will be explored as the student applies these techniques to business process management. The focus will be on artificial intelligence/machine learning (AI/ML) business solutions that can be implemented and managed without unnecessary technical complexity. Upon completion of the course the student will be able to manage AI/ML implementation projects.
Prerequisite(s):

• BSYS 3001

In this course, students will apply the artificial intelligence and machine learning (AI/ML) management skills developed in BSYS 3001 Artificial Intelligence Management 1. This is a practical project-based course where the students will have the opportunity to build ML use cases in various fields such as health care, self-driving cars, and banking. The focus is to use the latest solutions in Deep Learning (DL) in Supervised, Unsupervised, and Reinforcement Learning (RL) platforms. This course will use Python programming language and leading AI/ML research platforms.
Prerequisite(s):

• BSYS 3001