Course details
Building Artificial Intelligence Applications
TECH 60711A
In this course, students will familiarize themselves with the fundamentals and applications of artificial intelligence in management. They will develop an application using artificial intelligence, while considering the ethical considerations associated with such applications.
Organizations are increasingly leveraging artificial intelligence applications as part of their digital strategies, both to enhance their value proposition, understand, attract, and retain customers, personalize their relationships with them, and support employees in their tasks. This course is intended for future professionals who will assist organizations in the effective deployment of such applications. To this end, the course adopts an experiential approach that will enable students to master the fundamentals of artificial intelligence, understand the principles of developing AI-based applications, and gain hands-on experience in building such applications. Students will also become familiar with the ethical principles specific to the development and use of artificial intelligence applications in management and will experiment with applying an ethical framework in this context.
Themes covered
Fundamentals of artificial intelligence: origin recent developments types of systems etc.
Operating principles of various models used in artificial intelligence
Tools for developing artificial intelligence applications
Integration of artificial intelligence applications into an organization's business model
Methodological elements related to the development of artificial intelligence applications
Specific challenges associated with developing artificial intelligence applications
Ethical considerations related to the development of artificial intelligence applications
Important notes
Un ordinateur portable configuré selon les exigences technologiques de l'École est requis pour ce cours.
Course code
TECH 60711A
Subject
Information technology
Program
Master of Science (MSc)
Instruction mode
On-site learning
Credits
3