Course Overview
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)
Credits
2.5
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Evaluate artificial intelligence/machine learning (AI/ML) business models
- Utilize and practice Python for data science
- Implement ML solutions using leading AI platforms
- Design ML experiments for supervised/unsupervised scenarios in functional business areas
- Construct object/image recognition models
- Explore and utilize Reinforcement Learning (RL) algorithms in automation use cases
- Develop MI models in a team environment for real-life business scenarios
Effective as of Winter 2022
Related Programs
Applied AI Management Topics (BSYS 4005) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Business + Media
- Artificial Intelligence Management
Associate Certificate Part-time
- Business Information Technology Management (Artificial Intelligence Management Option)
Diploma Full-time
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.